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Normand SL, Zelevinsky K, Finnerty M, Leckman-Westin E, Chen Q, Jeong J, Abing H, Tsuei J, Horvitz-Lennon M. Racial-Ethnic Disparities in Quality of Care Among Medicaid Beneficiaries With Schizophrenia. Psychiatr Serv 2024:appips20230564. [PMID: 38863327 DOI: 10.1176/appi.ps.20230564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
OBJECTIVE The authors sought to update and expand the evidence on the quality of health care and disparities in care among Medicaid beneficiaries with schizophrenia. METHODS Adult beneficiaries of New York State Medicaid with schizophrenia receiving care during 2016-2019 were identified. Composite quality scores were derived from item response theory models by using evidence-based indicators of the quality of mental and general medical health care. Risk-adjusted racial-ethnic differences in quality were estimated and summarized as percentiles relative to White beneficiaries' mean quality scores. RESULTS The study included 71,013 beneficiaries; 42.8% were Black, 22.9% Latinx, 27.4% White, and 6.9% other race-ethnicity. Overall, 68.8% had a mental health follow-up within 30 days of discharge, and 90.2% had no preventable hospitalizations for chronic obstructive pulmonary disease or asthma. Among beneficiaries receiving antipsychotic medications, medication adherence was adequate for 43.7%. Fourteen indicators for mental and general medical health care quality yielded three composites: two for mental health care (pharmacological and ambulatory) and one for acute mental and general medical health care. Mean quality of pharmacological mental health care for Black and Latinx beneficiaries was lower than for White beneficiaries (39th and 44th percentile, respectively). For Black beneficiaries, mean quality of ambulatory mental health care was also lower (46th percentile). In New York City, Black beneficiaries received lower-quality care in all domains. The only meaningful group difference in the quality of acute mental and general medical health care indicated higher-quality care for individuals with other race-ethnicity. CONCLUSIONS Disparities in the quality of Medicaid-financed health care persist, particularly for Black beneficiaries. Regional differences merit further attention.
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Affiliation(s)
- Sharon-Lise Normand
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Katya Zelevinsky
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Molly Finnerty
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Emily Leckman-Westin
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Qingxian Chen
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Junghye Jeong
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Haley Abing
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Jeannette Tsuei
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
| | - Marcela Horvitz-Lennon
- Department of Health Care Policy, Harvard Medical School, Boston (Normand, Zelevinsky, Abing); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston (Normand); Office of Mental Health, New York State Department of Health, Albany (Finnerty, Leckman-Westin, Chen, Jeong); Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York (Leckman-Westin); RAND, Santa Monica, California (Tsuei), and Boston (Horvitz-Lennon); Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (Horvitz-Lennon)
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Dahiya P, Riano NS, Dilley JW, Olfson M, Cournos F, Mangurian C, Arnold EA. Care challenges and silver linings in HIV and behavioral health service delivery for individuals living with HIV and severe mental illness during the COVID-19 pandemic: a qualitative study. BMC Health Serv Res 2024; 24:690. [PMID: 38822307 PMCID: PMC11143645 DOI: 10.1186/s12913-024-11146-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 05/24/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND There has been a longstanding effort to integrate behavioral health and HIV care for people with comorbid HIV and behavioral health needs, including those with severe mental illness (SMI). As this population frequents both behavioral health and HIV care settings, they were likely to experience new obstacles to the quality and availability of care during the COVID-19 pandemic. This study aims to describe how clinics for HIV services or behavioral healthcare-as well as co-located sites providing both-sought to rapidly shift protocols to maintain a standard of patient care for people with comorbid HIV and SMI while adapting to the unprecedented circumstances of the pandemic. METHODS We interviewed HIV and behavioral healthcare providers, clinic leaders, and support service agencies that served clients impacted by both HIV and SMI. Seventeen key informants across three settings (HIV care settings, behavioral health care settings, and integrated or co-located care settings) were interviewed in 2022. Interviews focused on changes in clinical services, protocols, and care provision strategies during and at the onset of the COVID-19 pandemic. Interviews were transcribed and coded using thematic analysis. RESULTS Commonly endorsed themes included both positive and negative changes in care and care provision during the pandemic. Negative impacts of the pandemic included the loss of physical space, exacerbated mental health needs and disengagement in HIV care, patient barriers to telehealth and the digital divide, and increased healthcare workforce burnout. Positive changes included improved healthcare delivery and care engagement through telehealth, new opportunities to provide a wide range of social services, paradoxical increases in engagement in HIV care for certain patients, and broad institution of workforce wellness practices. CONCLUSIONS Though COVID-19 presented several complex barriers to care for providers serving patients with comorbid HIV and SMI, the increased flexibility afforded by telehealth and a greater focus on collaborative approaches to patient care may benefit this patient population in the future. Additionally, the focus on workforce wellness may serve to increase retention and avoid burnout among providers. The strategies and lessons learned through adapting to COVID-19 may be invaluable moving forward as healthcare systems respond to future pandemics.
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Affiliation(s)
- Priya Dahiya
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine, 675 18th St, San Francisco, CA, 94143, USA
| | - Nicholas S Riano
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine, 675 18th St, San Francisco, CA, 94143, USA
- Department of Psychological Science, School of Social Ecology, University of California Irvine. 4220 Social and Behavioral Sciences Gateway, Irvine, CA, 92697, USA
| | - James W Dilley
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine, 675 18th St, San Francisco, CA, 94143, USA
| | - Mark Olfson
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 630 West 168th St, New York, NY, 10032, USA
| | - Francine Cournos
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 630 West 168th St, New York, NY, 10032, USA
| | - Christina Mangurian
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine, 675 18th St, San Francisco, CA, 94143, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, School of Medicine, 550 16th Street, Second Floor, San Francisco, CA, 94158, USA
- Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, 2789 25th Street, Suite 350, San Francisco, CA, 94110, USA
| | - Emily A Arnold
- Center for AIDS Prevention Studies, University of California San Francisco, 550 16th Street, 3rd Floor, Box 0886, San Francisco, CA, 94143, USA.
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Långstedt C, Bressington D, Välimäki M. Nurses' and patients' perceptions of physical health screening for patients with schizophrenia spectrum disorders: a qualitative study. BMC Nurs 2024; 23:321. [PMID: 38734609 PMCID: PMC11088092 DOI: 10.1186/s12912-024-01980-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Despite worldwide concern about the poor physical health of patients with schizophrenia spectrum disorders (SSD), physical health screening rates are low. This study reports nurses' and patients' experiences of physical health screening among people with SSD using the Finnish Health Improvement Profile (HIP-F) and their ideas for implementation improvements. METHODS A qualitative exploratory study design with five group interviews with nurses (n = 15) and individual interviews with patients with SSD (n = 8) who had experience using the HIP-F in psychiatric outpatient clinics. Inductive content analysis was conducted. RESULTS Two main categories were identified. First, the characteristics of the HIP-F were divided into the subcategories of comprehensive nature, facilitating engagement, interpretation and rating of some items and duration of screening. Second, suggestions for the implementation of physical health screening consisted of two subcategories: improvements in screening and ideas for practice. Physical health screening was felt to increase the discussion and awareness of physical health and supported health promotion. The HIP-F was found to be a structured, comprehensive screening tool that included several items that were not otherwise assessed in clinical practice. The HIP-F was also considered to facilitate engagement by promoting collaboration in an interactive way. Despite this, most of the nurses found the HIP-F to be arduous and too time consuming, while patients found the HIP-F easy to use. Nurses found some items unclear and infeasible, while patients found all items feasible. Based on the nurses' experiences, screening should be clear and easy to interpret, and condensation and revision of the HIP-F tool were suggested. The patients did not think that any improvements to the HIP-F were needed for implementation in clinical settings. CONCLUSIONS Patients with schizophrenia spectrum disorders are willing to participate in physical health screening. Physical health screening should be clear, easy to use and relatively quick. With this detailed knowledge of perceptions of screening, further research is needed to understand what factors affect the fidelity of implementing physical health screening in clinical mental health practice and to gain an overall understanding on how to improve such implementation.
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Affiliation(s)
- Camilla Långstedt
- University of Turku, Faculty of Medicine, Department of Nursing, Kiinamyllynkatu 10, Medisiina B, Turku, 20520, Finland.
| | - Daniel Bressington
- Professor in Mental Health, Faculty of Health, Charles Darwin University, Casuarina, Australia
- Faculty of Nursing, Chiang Mai University, 110/406 Inthawaroros Road, Sri Phum District, Chiang Mai, Thailand
| | - Maritta Välimäki
- University of Turku, Faculty of Medicine, Department of Nursing, Kiinamyllynkatu 10, Medisiina B, Turku, 20520, Finland
- University of Helsinki, School of Public Health, Helsinki, Finland
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Browne J, Wu WC, Jiang L, Singh M, Bozzay ML, Kunicki ZJ, Bayer TA, De Vito AN, Primack JM, McGeary JE, Kelso CM, Rudolph JL. Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data. J Psychiatr Res 2024; 173:58-63. [PMID: 38489871 PMCID: PMC11082791 DOI: 10.1016/j.jpsychires.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 03/17/2024]
Abstract
Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.
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Affiliation(s)
- Julia Browne
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
| | - Wen-Chih Wu
- Medical Service, VA Providence Healthcare System, Providence, RI, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Mriganka Singh
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Melanie L Bozzay
- Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Zachary J Kunicki
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Thomas A Bayer
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Alyssa N De Vito
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA; Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Jennifer M Primack
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - John E McGeary
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Catherine M Kelso
- Veterans Health Administration, Office of Patient Care Services, Geriatrics and Extended Care, Washington DC, USA
| | - James L Rudolph
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, Providence, RI, USA
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Stenov V, Willaing I, Joensen LE, Knudsen L, Andersen GS, Hansen DL, Cleal B. Which self-reported measures are useful to explore diabetes support needs among adults with diabetes and severe mental illness? Chronic Illn 2024:17423953241241762. [PMID: 38584462 DOI: 10.1177/17423953241241762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
OBJECTIVES To construct and test patient-reported outcome measures (PROMs) for identifying diabetes support needs of adults with co-existing diabetes and severe mental illness (SMI) provided by mental health professionals at psychiatric outpatient clinics. METHODS Design thinking was used to identify, select, and modify PROMs in collaboration with 18 adults with type 1 or type 2 diabetes and SMI and 10 healthcare experts. The PROMs were then tested with 86 adults with diabetes and SMI recruited from eight psychiatric outpatient clinics in Denmark. Data were analysed using systematic text condensation (questionnaire construction) and descriptive statistics (testing). RESULTS Four principles for PROMs were identified: (a) be modified to be relevant for the target group, (b) be concise and simple to complete, (c) have a clear and unambiguous wording, and (d) be designed to measure topics that are perceived as meaningful. Test of the questionnaire contained 49 items in four domains. Missing response rates in the test were 1.2-4.7% in three domains and 4.7-11.6% in a domain addressing potential sources of diabetes support. DISCUSSION PROMs can successfully be constructed in collaboration with this vulnerable population that yield low rates of missing responses.
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Affiliation(s)
- Vibeke Stenov
- Department of Prevention, Health Promotion and Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Ingrid Willaing
- Department of Prevention, Health Promotion and Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Lene Eide Joensen
- Department of Prevention, Health Promotion and Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Section of Health Services Research, Department of Public Health, Copenhagen University, Copenhagen, Denmark
| | - Lenette Knudsen
- Department of Education, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Gregers Stig Andersen
- Clinical Epidemiological Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Dorte Lindqvist Hansen
- Department of Diabetes Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Bryan Cleal
- Department of Prevention, Health Promotion and Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
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Meyer MA, van den Bosch T, Millenaar Z, Heng M, Leenen L, Hietbrink F, Houwert RM, Kromkamp M, Nelen SD. Psychiatric comorbidity and trauma: impact on inpatient outcomes and implications for future management. Eur J Trauma Emerg Surg 2024; 50:439-446. [PMID: 37697154 DOI: 10.1007/s00068-023-02359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/21/2023] [Indexed: 09/13/2023]
Abstract
PURPOSE This study aimed to quantify the impact of pre-existing psychiatric illness on inpatient outcomes after major trauma and to assess acuity of psychiatric presentation as a predictor of outcomes. METHODS A retrospective single-center cohort study identified adult trauma patients with an Injury Severity Score (ISS) ≥ 16 between January 2018 and December 2019. Bivariate analysis assessed patient characteristics, injury characteristics, and injury outcomes between patients with and without psychiatric comorbidity. A sub-group analysis explored further effects of psychiatric history and need for inpatient psychiatric consultation on outcomes. RESULTS Of 640 patients meeting inclusion criteria, 99 patients (15.4%) had at least one psychiatric comorbidity. Patients with psychiatric comorbidity sustained distinct mechanisms of injury and higher in-hospital morbidity (44% vs. 26%, OR 1.97, 95% CI 1.17-3.3, p = 0.01), including pulmonary morbidity (31% vs. 21%, p < 0.01), neurologic morbidity (18% vs 7%, p < 0.01), and deep wound infection (8% vs. 2%, p < 0.01) than the control cohort. Psychiatric patients also had significantly greater median intensive care unit (ICU), length of stay (LOS) (1 day vs. 0 days, p = 0.04), median inpatient ward LOS (10 days vs. 7 days, p = 0.02), and median overall hospital LOS (16 days vs. 11 days, p < 0.01). In sub-group analysis, patients with a history of psychiatric illness alone had comparable outcomes to the control group. CONCLUSIONS Psychiatric comorbidity negatively impacts inpatient morbidity and inpatient LOS. This effect is most pronounced among acute psychiatric episodes with or without a history of mental illness.
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Affiliation(s)
- Maximilian Arthur Meyer
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
- Department of Orthopedic Surgery, Massachusetts General Hospital, 55 Fruit Street, White Building 535, Boston, MA, 02114, USA.
| | - Tijmen van den Bosch
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Zita Millenaar
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marilyn Heng
- Department of Orthopedic Surgery, Massachusetts General Hospital, 55 Fruit Street, White Building 535, Boston, MA, 02114, USA
| | - Loek Leenen
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Falco Hietbrink
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Marjan Kromkamp
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stijn Diederik Nelen
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
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McGinty EE, Seewald NJ, Bandara S, Cerdá M, Daumit GL, Eisenberg MD, Griffin BA, Igusa T, Jackson JW, Kennedy-Hendricks A, Marsteller J, Miech EJ, Purtle J, Schmid I, Schuler MS, Yuan CT, Stuart EA. Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2024; 25:96-108. [PMID: 36048400 PMCID: PMC11042861 DOI: 10.1007/s11121-022-01427-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2022] [Indexed: 10/14/2022]
Abstract
Policy implementation is a key component of scaling effective chronic disease prevention and management interventions. Policy can support scale-up by mandating or incentivizing intervention adoption, but enacting a policy is only the first step. Fully implementing a policy designed to facilitate implementation of health interventions often requires a range of accompanying implementation structures, like health IT systems, and implementation strategies, like training. Decision makers need to know what policies can support intervention adoption and how to implement those policies, but to date research on policy implementation is limited and innovative methodological approaches are needed. In December 2021, the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness and the Johns Hopkins Center for Mental Health and Addiction Policy convened a forum of research experts to discuss approaches for studying policy implementation. In this report, we summarize the ideas that came out of the forum. First, we describe a motivating example focused on an Affordable Care Act Medicaid health home waiver policy used by some US states to support scale-up of an evidence-based integrated care model shown in clinical trials to improve cardiovascular care for people with serious mental illness. Second, we define key policy implementation components including structures, strategies, and outcomes. Third, we provide an overview of descriptive, predictive and associational, and causal approaches that can be used to study policy implementation. We conclude with discussion of priorities for methodological innovations in policy implementation research, with three key areas identified by forum experts: effect modification methods for making causal inferences about how policies' effects on outcomes vary based on implementation structures/strategies; causal mediation approaches for studying policy implementation mechanisms; and characterizing uncertainty in systems science models. We conclude with discussion of overarching methods considerations for studying policy implementation, including measurement of policy implementation, strategies for studying the role of context in policy implementation, and the importance of considering when establishing causality is the goal of policy implementation research.
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Affiliation(s)
- Emma E McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Nicholas J Seewald
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sachini Bandara
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Magdalena Cerdá
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Gail L Daumit
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Matthew D Eisenberg
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Tak Igusa
- Department of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alene Kennedy-Hendricks
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jill Marsteller
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Edward J Miech
- Indiana University School of Medicine, Indianapolis, USA
| | - Jonathan Purtle
- Department of Public Health Policy and Management, New York University School of Global Public Health, New York City, New York, USA
| | - Ian Schmid
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Christina T Yuan
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth A Stuart
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Browne J, Rudolph JL, Jiang L, Bayer TA, Kunicki ZJ, De Vito AN, Bozzay ML, McGeary JE, Kelso CM, Wu WC. Serious mental illness is associated with elevated risk of hospital readmission in veterans with heart failure. J Psychosom Res 2024; 178:111604. [PMID: 38309130 DOI: 10.1016/j.jpsychores.2024.111604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 01/23/2024] [Accepted: 01/29/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE Adults with serious mental illness (SMI) have high rates of cardiovascular disease, particularly heart failure, which contribute to premature mortality. The aims were to examine 90- and 365-day all-cause medical or surgical hospital readmission in Veterans with SMI discharged from a heart failure hospitalization. The exploratory aim was to evaluate 180-day post-discharge engagement in cardiac rehabilitation, an effective intervention for heart failure. METHODS This study used administrative data from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. SMI status and medical comorbidity were assessed in the year prior to hospitalization. Cox proportional hazards models (competing risk of death) were used to evaluate the relationship between SMI status and outcomes. Models were adjusted for VHA hospital site, demographics, and medical characteristics. RESULTS The sample comprised 189,767 Veterans of which 23,671 (12.5%) had SMI. Compared to those without SMI, Veterans with SMI had significantly higher readmission rates at 90 (16.1% vs. 13.9%) and 365 (42.6% vs. 37.1%) days. After adjustment, risk of readmission remained significant (90 days: HR: 1.07, 95% CI: 1.03, 1.11; 365 days: HR: 1.10, 95% CI: 1.07, 1.12). SMI status was not significantly associated with 180-day cardiac rehabilitation engagement (HR: 0.98, 95% CI: 0.91, 1.07). CONCLUSIONS Veterans with SMI and heart failure have higher 90- and 365-day hospital readmission rates even after adjustment. There were no differences in cardiac rehabilitation engagement based on SMI status. Future work should consider a broader range of post-discharge interventions to understand contributors to readmission.
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Affiliation(s)
- Julia Browne
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
| | - James L Rudolph
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, Providence, RI, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Thomas A Bayer
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Zachary J Kunicki
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Alyssa N De Vito
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA; Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Melanie L Bozzay
- Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - John E McGeary
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Catherine M Kelso
- Veterans Health Administration, Office of Patient Care Services, Geriatrics and Extended Care, Washington DC, USA
| | - Wen-Chih Wu
- Medical Service, VA Providence Healthcare System, Providence, RI, USA
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9
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Murphy KA, Sarker E, Stuart EA, Cook C, Goldsholl S, Daumit GL. Effect of Care Management on Cholesterol for Individuals with Serious Mental Illness: a Secondary Analysis of an RCT. J Gen Intern Med 2024; 39:354-356. [PMID: 37950107 PMCID: PMC10853150 DOI: 10.1007/s11606-023-08510-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Affiliation(s)
- Karly A Murphy
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - Elizabeth Sarker
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth A Stuart
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Courtney Cook
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stacy Goldsholl
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gail L Daumit
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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10
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Barasche-Berdah D, Ein-Mor E, Calderon-Margalit R, Rose AJ, Krieger M, Brammli-Greenberg S, Ben-Yehuda A, Manor O, Cohen AD, Bar-Ratson E, Bareket R, Matz E, Paltiel O. Nationwide Evaluation of Quality of Care Indicators for Individuals with Severe Mental Illness and Diabetes Mellitus, Following Israel's Mental Health Reform. Community Ment Health J 2024; 60:354-365. [PMID: 37697183 DOI: 10.1007/s10597-023-01178-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 07/31/2023] [Indexed: 09/13/2023]
Abstract
Diabetes Mellitus (DM) is more common among individuals with severe mental illness (SMI). We aimed to assess quality-of-care-indicators in individuals with SMI following the 2015 Israel's Mental-Health-reform. We analyzed yearly changes in 2015-2019 of quality-of-care-measures and intermediate-DM-outcomes, with adjustment for gender, age-group, and socioeconomic status (SES) and compared individuals with SMI to the general adult population. Adults with SMI had higher prevalences of DM (odds ratio (OR) = 1.64; 95% confidence intervals (CI): 1.61-1.67) and obesity (OR = 2.11; 95% CI: 2.08-2.13), compared to the general population. DM prevalence, DM control, and obesity rates increased over the years in this population. In 2019, HbA1c testing was marginally lower (OR = 0.88; 95% CI: 0.83-0.94) and uncontrolled DM (HbA1c > 9%) slightly more common among patients with SMI (OR = 1.22; 95% CI: 1.14-1.30), control worsened by decreasing SES. After adjustment, uncontrolled DM (adj. OR = 1.02; 95% CI: 0.96-1.09) was not associated with SMI. Cardio-metabolic morbidity among patients with SMI may be related to high prevalences of obesity and DM rather than poor DM control. Effective screening for metabolic diseases in this population and social reforms are required.
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Affiliation(s)
- Deborah Barasche-Berdah
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel.
| | - Eliana Ein-Mor
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Ronit Calderon-Margalit
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Adam J Rose
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Michal Krieger
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Shuli Brammli-Greenberg
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arye Ben-Yehuda
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Orly Manor
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arnon D Cohen
- Clalit Health Services, 101 Arlozorov St., POB 16250, 62098, Tel Aviv, Israel
| | | | - Ronen Bareket
- Meuhedet Health Fund, 124 Ibn Gvirol St, 62038, Tel Aviv, Israel
- Department of Family Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Department of Medical Education, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Eran Matz
- Leumit Health Fund, 23 Sprinzak St, 64738, Tel Aviv, Israel
| | - Ora Paltiel
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
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11
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Lee HB. Compassion in Consultation-Liaison Psychiatry and Call for Advocacy for Patients with Severe Mental Illness. J Acad Consult Liaison Psychiatry 2024; 65:1-3. [PMID: 38266917 DOI: 10.1016/j.jaclp.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Affiliation(s)
- Hochang Benjamin Lee
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY.
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12
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Wiener JC. Models of shared care for the management of psychotic disorder after first diagnosis in Ontario. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2023; 69:859-866. [PMID: 38092451 PMCID: PMC10949256 DOI: 10.46747/cfp.6912859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
OBJECTIVE To describe the provision of care for young people following first diagnosis of psychotic disorder. DESIGN Retrospective cohort study using health administrative data. SETTING Ontario. PARTICIPANTS People aged 14 to 35 years with a first diagnosis of nonaffective psychotic disorder in Ontario between 2005 and 2015 (N=39,449). MAIN OUTCOME MEASURES Models of care, defined by psychosis-related service contacts with primary care physicians and psychiatrists during the 2 years after first diagnosis of psychotic disorder. RESULTS During the 2-year follow-up period, 29% of the cohort received only primary care, 30% received only psychiatric care, and 32% received both primary and psychiatric care (shared care). Among the shared care group, 72% received care predominantly from psychiatrists, 20% received care predominantly from primary care physicians, and 9% received approximately equal care from psychiatry and primary care. Variation in patient and physician characteristics was observed across the different models of care. CONCLUSION One in 3 young people with psychotic disorder received shared care during the 2-year period after first diagnosis. The findings highlight opportunities for increasing collaboration between primary care physicians and psychiatrists to enhance the quality of care for those with early psychosis.
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Affiliation(s)
- Joshua C. Wiener
- Doctoral candidate, Department of Epidemiology and Biostatistics in the Schulich School of Medicine and Dentistry at Western University in London, Ont
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13
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Jaén-Moreno MJ, Rico-Villademoros F, Ruiz-Rull C, Laguna-Muñoz D, Del Pozo GI, Sarramea F. A Systematic Review on the Association between Schizophrenia and Bipolar Disorder with Chronic Obstructive Pulmonary Disease. COPD 2023; 20:31-43. [PMID: 36655855 DOI: 10.1080/15412555.2022.2154646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
A systematic review aimed to investigate the association between schizophrenia and bipolar disorder and chronic obstructive pulmonary disease (COPD), its prevalence and incidence, potential factors associated with its occurrence and its impact on mortality among these patients. We performed the literature search in PubMed, Scopus and PsycInfo from inception to February 2022 and identified 19 studies: ten cross-sectional, 5 that included cross-sectional and longitudinal analyses, and 4 retrospective cohort studies. The reported prevalence of COPD ranged from 2.6% to 52.7% in patients with schizophrenia and between 3.0% and 12.9% in patients with bipolar disorder. Two studies reported an annual incidence of COPD of 2.21 cases/100 person-years in patients with schizophrenia and 2.03 cases/100 person-years in patients with bipolar disorder. Among the risk factors evaluated in three studies, only advanced age was consistently associated with the presence/occurrence of COPD in patients with schizophrenia and bipolar disorder; the role of tobacco consumption was not investigated in those three studies. According to two studies, the likelihood of mortality from COPD showed an over 3-fold increase in patients with schizophrenia and a 2-fold increase in those with bipolar disorder compared to the overall population; COPD was also associated with increased inpatient mortality. Available data indicate that COPD in patients with schizophrenia and bipolar disorder is a major public health problem. National and international health organizations should strive to specifically address this issue by creating awareness about this health problem and developing specific programs for screening and early intervention aimed to reduce the burden of COPD in these populations.
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Affiliation(s)
- María José Jaén-Moreno
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Departamento de Ciencias Morfológicas y Sociosanitarias, Facultad de Medicina y Enfermería, Universidad de Córdoba, Córdoba, Spain
| | | | - Cristina Ruiz-Rull
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Unidad de Gestión Clínica de Medicina Familiar y Comunitaria, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - David Laguna-Muñoz
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Gloria Isabel Del Pozo
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Fernando Sarramea
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.,Departamento de Ciencias Morfológicas y Sociosanitarias, Facultad de Medicina y Enfermería, Universidad de Córdoba, Córdoba, Spain.,Unidad de Gestión Clínica de Salud Mental, Hospital Universitario Reina Sofía, Córdoba, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Oviedo, Spain
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14
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Freeman MC, Wainberg ML, Slabbert JD, Mabela S, Wolvaardt G. Persons with severe mental health conditions should be included as a key population in HIV programmes. AIDS 2023; 37:2115-2118. [PMID: 37598396 PMCID: PMC10621635 DOI: 10.1097/qad.0000000000003692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/03/2023] [Accepted: 08/08/2023] [Indexed: 08/22/2023]
Affiliation(s)
- Melvyn C. Freeman
- Foundation for Professional Development, Pretoria
- University of Stellenbosch, Stellenbosch, Western Cape, South Africa
| | - Milton L. Wainberg
- Columbia University/New York State Psychiatric Institute New York, New York, USA
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15
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Amari K, Hirata R, Tago M. Recurrent Transient Hypoxemia in a Schizophrenic Patient Caused by Upper Airway Foreign Body Obstruction by Watermelon. Cureus 2023; 15:e48809. [PMID: 38098922 PMCID: PMC10721354 DOI: 10.7759/cureus.48809] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2023] [Indexed: 12/17/2023] Open
Abstract
A woman in her 70s with schizophrenia experienced repeated episodes of limb tremors and hypoxemia. Even after admission, the same symptoms continued while in a supine position. However, her condition rapidly improved with bag valve mask ventilation. Although computed tomography suggested aspiration pneumonia, she had a strong cough reflex while performing bronchoscopy, and no residues were observed in the trachea. Following the bronchoscopy examination, the patient was prompted by a nurse and subsequently expelled a mass of watermelon from her oral cavity, which was identified as a watermelon eaten during breakfast on the day. She was diagnosed with aspiration pneumonia, and treatment with 2 g/day of cefotiam was initiated. The inflammatory response had improved, and she was transferred to another hospital for adjustment of psychiatric medications on the 10th day of admission. A study indicated that 77% of emergency medical staff experienced misdiagnosis or delayed diagnosis of patients with mental illnesses. In the present case, various biases and system factors were found to be involved in the diagnostic error. It is crucial to recognize the potential for diagnostic errors in managing patients with schizophrenia given the various biases that may come into play. Furthermore, patients with schizophrenia are at high risk of upper airway foreign body obstruction because of dysphagia or drug-induced effects. When transient hypoxemia is observed, a prompt assessment of the visible intraoral region and, if necessary, evaluation of the entire upper airway through imaging studies should be considered.
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Affiliation(s)
- Kaori Amari
- Department of Emergency Medicine, Saga-Ken Medical Centre Koseikan, Saga, JPN
| | - Risa Hirata
- Department of General Medicine, Saga University Hospital, Saga, JPN
| | - Masaki Tago
- Department of General Medicine, Saga University Hospital, Saga, JPN
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16
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Stewart V, McMillan SS, Hu J, Collins JC, El-Den S, O'Reilly C, Wheeler AJ. Refining a taxonomy of goals planned between mental health consumers and community pharmacists. Res Social Adm Pharm 2023; 19:1391-1397. [PMID: 37468372 DOI: 10.1016/j.sapharm.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/13/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND People living with severe and persistent mental illnesses are more likely to experience co-morbid health conditions. Health-related behavior change can be promoted by the use of goal planning within community pharmacy settings. OBJECTIVES To trial and refine a recently developed taxonomy to categorize goals co-designed between community pharmacists and people living with severe and persistent mental illnesses. This study also compared the data to the previously published taxonomy data to determine if the taxonomy could be applied across a range of mental health conditions. METHODS The published goal taxonomy was refined using data from a cluster randomized controlled trial (PharMIbridge). Community pharmacists provided an individualized support service using goal planning with people living with severe and persistent mental illnesses. Goals were categorized using the existing taxonomy and inconsistencies were used to modify and refine the taxonomy. Additionally, participant characteristics and categorization of goals were compared with results from the previous study. RESULTS 512 goals were reported by 158 consumer participants and categorized into five domains that included a diverse range of health behaviors (e.g., relationships, diet). Minor refinements to the taxonomy were made by replacing, adding or removing categories/descriptors. CONCLUSIONS Significant overlap between the goals of participants and the existing taxonomy was found, supporting the application of the taxonomy across different mental health conditions.
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Affiliation(s)
- Victoria Stewart
- Centre for Mental Health, Griffith University, Australia; Menzies Health Institute Queensland, Griffith University, Australia; School of Pharmacy and Medical Sciences, Griffith University, Australia.
| | - Sara S McMillan
- Centre for Mental Health, Griffith University, Australia; Menzies Health Institute Queensland, Griffith University, Australia; School of Pharmacy and Medical Sciences, Griffith University, Australia
| | - Jie Hu
- Centre for Mental Health, Griffith University, Australia; Menzies Health Institute Queensland, Griffith University, Australia; School of Pharmacy and Medical Sciences, Griffith University, Australia
| | - Jack C Collins
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Sarira El-Den
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Claire O'Reilly
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Amanda J Wheeler
- Menzies Health Institute Queensland, Griffith University, Australia; School of Pharmacy and Medical Sciences, Griffith University, Australia; Faculty of Health and Behavioural Sciences, University of Auckland, New Zealand
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17
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Isbell LM, Graber ML, Rovenpor DR, Liu G. Influence of comorbid depression and diagnostic workup on diagnosis of physical illness: a randomized experiment. Diagnosis (Berl) 2023; 10:257-266. [PMID: 37185165 DOI: 10.1515/dx-2020-0106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 03/22/2023] [Indexed: 05/17/2023]
Abstract
OBJECTIVES Patients with mental illness are less likely to receive the same physical healthcare as those without mental illness and are less likely to be treated in accordance with established guidelines. This study employed a randomized experiment to investigate the influence of comorbid depression on diagnostic accuracy. METHODS Physicians were presented with an interactive vignette describing a patient with a complex presentation of pernicious anemia. They were randomized to diagnose either a patient with or without (control) comorbid depression and related behaviors. All other clinical information was identical. Physicians recorded a differential diagnosis, ordered tests, and rated patient likeability. RESULTS Fifty-nine physicians completed the study. The patient with comorbid depression was less likeable than the control patient (p=0.03, 95 % CI [0.09, 1.53]). Diagnostic accuracy was lower in the depression compared to control condition (59.4 % vs. 40.7 %), however this difference was not statistically significant χ2(1)=2.035, p=0.15. Exploratory analyses revealed that patient condition (depression vs. control) interacted with the number of diagnostic tests ordered to predict diagnostic accuracy (OR=2.401, p=0.038). Accuracy was lower in the depression condition (vs. control) when physicians ordered fewer tests (1 SD below mean; OR=0.103, p=0.028), but there was no difference for physicians who ordered more tests (1 SD above mean; OR=2.042, p=0.396). CONCLUSIONS Comorbid depression and related behaviors lowered diagnostic accuracy when physicians ordered fewer tests - a time when more possibilities should have been considered. These findings underscore the critical need to develop interventions to reduce diagnostic error when treating vulnerable populations such as those with depression.
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Affiliation(s)
- Linda M Isbell
- Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Mark L Graber
- Society to Improve Diagnosis in Medicine, Plymouth, MA, USA
- Stony Brook University, NY, USA
| | | | - Guanyu Liu
- Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, USA
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18
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Groß SE, Schellartz I, Zielasek J, Schlomann L, Klee I, Ritschel C, Engemann S, Steffens B, Jänner M, Funken O, Juckel G, Gouzoulis-Mayfrank E. The somatic care of patients with comorbid mental disorders: protocol of a mixed-methods study aiming to identify barriers to and enablers of utilization of somatic healthcare (SoKo). BMC Health Serv Res 2023; 23:589. [PMID: 37286990 DOI: 10.1186/s12913-023-09525-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Healthcare for people with somatic and comorbid mental diseases can pose a challenge to the healthcare system. The aim of the SoKo study (the Somatic care of patients with mental Comorbidity) is to assess the current state of care and the facilitators and barriers of somatic care of people with somatic disorders and comorbidity of a mental disorder. METHODS The study is conducted as a mixed-methods approach and will include (a) descriptive and inferential analysis of secondary claims data of persons insured by a German statutory health insurance company in North Rhine-Westphalia (Techniker Krankenkasse, TK-NRW), (b) qualitative individual interviews and group discussions, and (c) based on (a) and (b), quantitative surveys of both patients and physicians. We intend to analyse a sample of claims data of about 2.6 million persons insured by TK-NRW (group comparisons between TK-NRW insured persons with a diagnosis of a prevalent somatic disease [ICD-10-GM E01-E07, E11, E66, I10-I15, I20-I25, I60-I64] with and without comorbidity of a mental disorder [F00-F99]), in order to assess the uptake of somatic care by people with mental and somatic comorbidity. In addition, primary data from patients with the aforementioned somatic illnesses and a mental comorbidity as well as primary data from physicians (general practitioners and medical specialists) will be collected. The focus here will be on support factors and barriers in the somatic care of people with mental comorbidity. DISCUSSION Up to now, there have been no published results of a systematic collection of both secondary and primary data on the utilisation of different care services of somatically ill patients with mental comorbidity for Germany. The present mixed-methods study aims to address this gap. TRIAL REGISTRATION The trial is registered with the German Clinical Trials Register DRKS: DRKS00030513. The trial was registered on 3rd February 2023.
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Grants
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
- 01VSF19052 The study is publicly funded by the German Innovation Committee (Innovationsausschuss) of the Federal Joint Committee (Gemeinsamer Bundesausschuss, G-BA)
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Affiliation(s)
- Sophie E Groß
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany.
| | - Isabell Schellartz
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
| | - Jürgen Zielasek
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
- Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Lara Schlomann
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
| | - Inna Klee
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
| | - Careen Ritschel
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
| | - Sandra Engemann
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
| | - Barbara Steffens
- Techniker Krankenkasse North Rhine-Westphalia, German Statutory Health Insurance Company (TK-NRW), Hamburg, Germany
| | - Michaela Jänner
- Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Oliver Funken
- General Practitioners Association North Rhine, North Rhine, Germany
| | - Georg Juckel
- LWL University Hospital, Bochum, Germany
- Department of Psychiatry, Psychotherapy and Preventive Medicine, Ruhr University, Bochum, Germany
| | - Euphrosyne Gouzoulis-Mayfrank
- Rhineland State Council - Institute of Healthcare Research (LVR-IVF), Cologne, Germany
- LVR-Clinics Cologne, Cologne, Germany
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O'Connor RC, Worthman CM, Abanga M, Athanassopoulou N, Boyce N, Chan LF, Christensen H, Das-Munshi J, Downs J, Koenen KC, Moutier CY, Templeton P, Batterham P, Brakspear K, Frank RG, Gilbody S, Gureje O, Henderson D, John A, Kabagambe W, Khan M, Kessler D, Kirtley OJ, Kline S, Kohrt B, Lincoln AK, Lund C, Mendenhall E, Miranda R, Mondelli V, Niederkrotenthaler T, Osborn D, Pirkis J, Pisani AR, Prawira B, Rachidi H, Seedat S, Siskind D, Vijayakumar L, Yip PSF. Gone Too Soon: priorities for action to prevent premature mortality associated with mental illness and mental distress. Lancet Psychiatry 2023; 10:452-464. [PMID: 37182526 DOI: 10.1016/s2215-0366(23)00058-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/17/2023] [Accepted: 02/28/2023] [Indexed: 05/16/2023]
Abstract
Globally, too many people die prematurely from suicide and the physical comorbidities associated with mental illness and mental distress. The purpose of this Review is to mobilise the translation of evidence into prioritised actions that reduce this inequity. The mental health research charity, MQ Mental Health Research, convened an international panel that used roadmapping methods and review evidence to identify key factors, mechanisms, and solutions for premature mortality across the social-ecological system. We identified 12 key overarching risk factors and mechanisms, with more commonalities than differences across the suicide and physical comorbidities domains. We also identified 18 actionable solutions across three organising principles: the integration of mental and physical health care; the prioritisation of prevention while strengthening treatment; and the optimisation of intervention synergies across social-ecological levels and the intervention cycle. These solutions included accessible, integrated high-quality primary care; early life, workplace, and community-based interventions co-designed by the people they should serve; decriminalisation of suicide and restriction of access to lethal means; stigma reduction; reduction of income, gender, and racial inequality; and increased investment. The time to act is now, to rebuild health-care systems, leverage changes in funding landscapes, and address the effects of stigma, discrimination, marginalisation, gender violence, and victimisation.
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Affiliation(s)
- Rory C O'Connor
- Suicidal Behaviour Research Laboratory, School of Health & Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
| | | | - Marie Abanga
- Hope for the Abused and Battered, Douala, Cameroon
| | | | | | - Lai Fong Chan
- Department of Psychiatry, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia
| | - Helen Christensen
- Faculty of Medicine & Health, University of New South Wales, Sydney and the Black Dog Institute, Sydney, NSW, Australia
| | - Jayati Das-Munshi
- Department of Psychological Medicine, King's College London, London, UK; Institute of Psychiatry, Psychology, and Neuroscience, and Centre for Society and Mental Health, King's College London, London, UK; South London and Maudsley NHS Trust, London, UK
| | - James Downs
- Royal College of Psychiatrists, UK and Faculty of Wellbeing, Education, and Language Studies, Open University, Milton Keynes, UK
| | | | | | - Peter Templeton
- The William Templeton Foundation for Young People's Mental Health, Cambridge, UK
| | - Philip Batterham
- Centre for Mental Health Research, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia
| | | | | | - Simon Gilbody
- York Mental Health and Addictions Research Group, University of York, York, UK
| | - Oye Gureje
- WHO Collaborating Centre for Research and Training in Mental Health, Neuroscience, Drug and Alcohol Abuse, University of Ibadan, Ibadan, Nigeria
| | - David Henderson
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Ann John
- Swansea University Medical School, Swansea University, Swansea, UK
| | | | - Murad Khan
- Brain & Mind Institute, Aga Khan University, Karachi, Pakistan
| | - David Kessler
- Bristol Population Health Science Institute, Centre for Academic Mental Health, Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Olivia J Kirtley
- Center for Contextual Psychiatry, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | - Brandon Kohrt
- Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
| | - Alisa K Lincoln
- Institute for Health Equity and Social Justice Research, Northeastern University, Boston, MA, USA
| | - Crick Lund
- Health Services and Population Research Department, King's College London, London, UK; Centre for Global Mental Health, King's College London, London, UK
| | - Emily Mendenhall
- Edmund A Walsh School of Foreign Service, Georgetown University, Washington, DC, USA
| | - Regina Miranda
- Hunter College, Department of Psychology, The Graduate Center, City University of New York, New York, NY, USA
| | - Valeria Mondelli
- Department of Psychological Medicine, King's College London, London, UK
| | - Thomas Niederkrotenthaler
- Department of Social and Preventive Medicine, Suicide Research & Mental Health Promotion Unit, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - David Osborn
- Division of Psychiatry, University College London and Camden and Islington NHS Foundation Trust, London, UK
| | - Jane Pirkis
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Anthony R Pisani
- University of Rochester Center for the Study and Prevention of Suicide, SafeSide Prevention, Rochester, NY, USA
| | | | | | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, SAMRC Genomics of Brain Disorders Unit, Stellenbosch University, Cape Town, South Africa
| | - Dan Siskind
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | | | - Paul S F Yip
- Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region, China
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20
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Huff NR, Chimowitz H, DelPico MA, Gleason KT, Nanavati JD, Smulowitz P, Isbell LM. The consequences of emotionally evocative patient behaviors on emergency nurses' patient assessments and handoffs: An experimental study using simulated patient cases. Int J Nurs Stud 2023; 143:104507. [PMID: 37196607 DOI: 10.1016/j.ijnurstu.2023.104507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 04/14/2023] [Accepted: 04/14/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND Engaging with human emotions is an integral but poorly understood part of the work of emergency healthcare providers. Patient factors (e.g., irritable behavior; mental illness) can evoke strong emotions, and evidence suggests that these emotions can impact care quality and patient safety. Given that nurses play a critical role in providing high quality care, efforts to identify and remedy factors that may compromise care are needed. Yet to date, few experiments have been conducted. OBJECTIVE To examine the effects of emotionally evocative patient behavior as well as the presence of mental illness on emergency nurses' emotions, patient assessments, testing advocacy, and written handoffs. DESIGN Experimental vignette research. SETTING Online experiment distributed via email between October and December 2020. PARTICIPANTS Convenience sample of 130 emergency nurses from seven hospitals in the Northeastern United States and one hospital in the mid-Atlantic region in the United States. METHODS Nurses completed four multimedia computer-simulated patient encounters in which patient behavior (irritable vs. calm) and mental illness (present vs. absent) were experimentally varied. Nurses reported their emotions and clinical assessments, recommended diagnostic tests, and provided written handoffs. Tests were coded for whether the test would result in a correct diagnosis, and handoffs were coded for negative and positive patient descriptions and the presence of specific clinical information. RESULTS Nurses experienced more negative emotions (anger, unease) and reported less engagement when assessing patients exhibiting irritable (vs. calm) behavior. Nurses also judged patients with irritable (vs. calm) behavior as more likely to exaggerate their pain and as poorer historians, and as less likely to cooperate, return to work, and recover. Nurses' handoffs were more likely to communicate negative descriptions of patients with irritable (vs. calm) behavior and omit specific clinical information (e.g., whether tests were ordered, personal information). The presence of mental illness increased unease and sadness and resulted in nurses being less likely to recommend a necessary test for a correct diagnosis. CONCLUSIONS Emergency nurses' assessments and handoffs were impacted by patient factors, particularly irritable patient behavior. As nurses are central to the clinical team and experience regular, close contact with patients, the effects of irritable patient behavior on nursing assessments and care practices have important implications. We discuss potential approaches to address these ill effects, including reflexive practice, teamwork, and standardization of handoffs. TWEETABLE ABSTRACT Experimental evidence links irritable patient behaviors to lower quality emergency department nurse handoffs, which may compromise patient safety @(lindamisbell) @(Nathan_Huff_1).
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Affiliation(s)
- Nathan R Huff
- Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA 01003, United States of America
| | - Hannah Chimowitz
- Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA 01003, United States of America
| | - Maria A DelPico
- Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA 01003, United States of America
| | - Kelly T Gleason
- School of Nursing, Johns Hopkins University, 525 N. Wolfe Street, Baltimore, MD 21205, United States of America
| | - Janvi D Nanavati
- Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA 01003, United States of America
| | - Peter Smulowitz
- Department of Emergency Medicine, UMass Chan Medical School, 55 Lake Ave North, Worcester, MA 01605, United States of America
| | - Linda M Isbell
- Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA 01003, United States of America.
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21
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Laws MB. Association between affective disorders and frailty across the life course challenges systems of care. Evid Based Nurs 2023; 26:80. [PMID: 36600463 DOI: 10.1136/ebnurs-2022-103627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2022] [Indexed: 12/10/2022]
Affiliation(s)
- M Barton Laws
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
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22
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Crapanzano KA, Deweese S, Pham D, Le T, Hammarlund R. The Role of Bias in Clinical Decision-Making of People with Serious Mental Illness and Medical Co-morbidities: a Scoping Review. J Behav Health Serv Res 2023; 50:236-262. [PMID: 36720760 PMCID: PMC10016362 DOI: 10.1007/s11414-022-09829-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/23/2022] [Indexed: 02/02/2023]
Abstract
The aim of this review was to examine the evidence for the impact of explicit and implicit biases against mental illness on the clinical decision-making of primary care physicians, medical students, and nurses when they are providing care to individuals with serious mental illness for cardiovascular disease, diabetes, and cancer. Studies were identified by searching MEDLINE, EBSCO host, and PsychINFO. A total of 18 studies published between 1996 and 2020 were reviewed and summarized. The studies were divided into two groups-studies that used a simulation or vignette methodology and those with a qualitative approach (interviews and focus groups). Of the simulation/vignette studies that allowed participants to report what they would have done in various clinical scenarios, there were roughly equal numbers of neutral or negative clinical decisions that represented 80% of the relevant behavioral results. Only 21% of the findings demonstrated a clinical decision that was favorable towards people with mental illness. Of the qualitative studies, all of the studies reported behaviors (either self-reported or observed) that were likely to be biased against people with mental illness, while 3 of the studies reported mixed results. Healthcare provider bias against individuals with mental illness does exist and impacts clinical decisions negatively. Much more empirical work needs to be done to determine the full extent and impact of the problem, including how these decisions affect the lives of individuals with mental illness.
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Affiliation(s)
- Kathleen A Crapanzano
- Department of Psychiatry, LSU School of Medicine, 5246 Brittany Drive, Rm 340, Baton Rouge, Baton Rouge, LA, 70808, USA.
| | - Stephen Deweese
- Department of Psychiatry, LSU School of Medicine, 5246 Brittany Drive, Rm 340, Baton Rouge, Baton Rouge, LA, 70808, USA
| | - Diem Pham
- Department of Psychiatry, LSU School of Medicine, 5246 Brittany Drive, Rm 340, Baton Rouge, Baton Rouge, LA, 70808, USA
| | - Thanh Le
- Department of Psychiatry, LSU School of Medicine, 5246 Brittany Drive, Rm 340, Baton Rouge, Baton Rouge, LA, 70808, USA
| | - Rebecca Hammarlund
- Department of Psychiatry, LSU School of Medicine, 5246 Brittany Drive, Rm 340, Baton Rouge, Baton Rouge, LA, 70808, USA
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23
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Murphy KA, Daumit GL. Establishing a Care Continuum for Cardiometabolic Conditions for Patients with Serious Mental Illness. Curr Cardiol Rep 2023; 25:193-202. [PMID: 36847991 PMCID: PMC10042919 DOI: 10.1007/s11886-023-01848-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE OF REVIEW Addressing cardiometabolic risk factors in persons with serious mental illness requires early screening and proactive medical management in both medical and mental health settings. RECENT FINDINGS Cardiovascular disease remains the leading cause of death for persons with serious mental illness (SMI), such as schizophrenia or bipolar disorder, much of which is driven by a high prevalence of metabolic syndrome, diabetes, and tobacco use. We summarize barriers and recent approaches to screening and treatment for metabolic cardiovascular risk factors within physical health and specialty mental health settings. Incorporating system-based and provider-level support within physical health and psychiatric clinical settings should contribute to improvement for screening, diagnosis, and treatment for cardiometabolic conditions for patients with SMI. Targeted education for clinicians and leveraging multi-disciplinary teams are important first steps to recognize and treat populations with SMI at risk of CVD.
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Affiliation(s)
- Karly A Murphy
- Division of General Internal Medicine, University of California San Francisco School of Medicine, 1701 Divisidero Street, Suite 500, 94117, San Francisco, CA, USA.
| | - Gail L Daumit
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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24
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O'Neill K, Hand R, Diop B, Weiss H, Cruz Pfaeffle A, Maragatham P, Rice K, Naslund JA. Informing the development of the coaching online and community health (COACH) program: a qualitative study of clubhouse members living with serious mental illness. Transl Behav Med 2023; 13:343-353. [PMID: 36694908 DOI: 10.1093/tbm/ibad001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Health and wellness interventions addressing risk factors for early mortality among individuals with serious mental illness have demonstrated success and can be further augmented with digital technology. These programs may be suitable for delivery in psychosocial rehabilitation clubhouses, especially given many services have transitioned to digital platforms during the pandemic. This qualitative study aimed to: (a) explore clubhouse members' experiences engaging with the virtual clubhouse platform, and their preferences for accessing digital wellness and health promotion content; and, (b) gauge members' interest in an online peer-driven lifestyle intervention and their suggestions for program design. This study was guided by a community-based participatory action research framework. Ten focus groups were conducted with clubhouse members. Focus groups were coded and analyzed thematically by trained clubhouse members and the research team. Thirty-three members participated in the focus groups. Participants expressed the importance of having technical support from staff; that one-on-one support and consistent communication are important to keep them engaged in health and wellness programming; and described mixed views about use of the virtual platform, but generally were open to engaging in lifestyle intervention programming virtually. Participants who joined the clubhouse during the pandemic expressed feeling overwhelmed by in-person gatherings, and were especially interested in opportunities for remote participation. This study can inform health and wellness programming for delivery on the virtual clubhouse platform for members. The taxonomy of codes, created to generate a framework with recommendations, will inform the design of a virtual health and wellness intervention.
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Affiliation(s)
- Kathryn O'Neill
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | | | | | | | | | | | - John A Naslund
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA
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25
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Konishi T, Fujiogi M, Shigemi D, Matsui H, Fushimi K, Tanabe M, Seto Y, Yasunaga H. Risk Factors for Postoperative Bleeding Following Breast Cancer Surgery: A Nationwide Database Study of 477,108 Cases in Japan. World J Surg 2022; 46:3062-3071. [PMID: 36155832 DOI: 10.1007/s00268-022-06746-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Although postoperative bleeding is a common and serious complication in breast cancer surgery, the risk factors remain unclear. Therefore, we examined the risk factors using a Japanese nationwide database. METHODS Patients who underwent breast cancer surgery between July 2010 and March 2020 were identified from a Japanese nationwide database. Multivariable analyses for 47 candidate risk factors (4 patient characteristics, 32 comorbidities, 5 tumor characteristics, 3 preoperative drug uses, and 3 surgical procedures) were conducted to investigate risk factors associated with postoperative bleeding requiring reoperation. Two sensitivity analyses were conducted: an analysis for postoperative bleeding with or without reoperation and an analysis for patients who underwent total mastectomy without breast reconstruction. RESULTS Among the 477,108 patients included, 7048 (1.5%) developed postoperative bleeding and 2357 (0.5%) underwent reoperation for postoperative bleeding. Male sex, old age, body mass index ≥ 25.0 kg/m2, several comorbidities (deficiency anemia, cardiac arrhythmias, hypertension, liver disease, psychoses, and valvular disease), preoperative heparin use, and several procedures were identified as risk factors. Deficiency anemia showed the highest odds ratio among the risk factors (4.41 [95% confidence interval, 3.63-5.36]). High odds ratios were also observed in total mastectomy (2.32 [2.10-2.56]), flap reconstruction (1.93 [1.55-2.40]), and preoperative heparin use (1.64 [1.26-2.14]). The results corresponded with the sensitivity analyses. CONCLUSIONS This study identified several risk factors for postoperative bleeding in breast cancer surgery, such as high body mass index, anemia, cardiovascular diseases, liver diseases, psychoses, preoperative heparin use, and surgical procedures.
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Affiliation(s)
- Takaaki Konishi
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. .,Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Michimasa Fujiogi
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.,Division of Surgery, National Center for Child Health and Development, Japan of Emergency Medicine, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-0074, Japan
| | - Daisuke Shigemi
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan
| | - Masahiko Tanabe
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Yasuyuki Seto
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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26
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NEWTON HELEN, HUMENSKY JENNIFER, GOLDMAN HOWARD, BUSCH SUSANH. What Explains Changes in Availability of Specialty Mental Health Services in Organized Settings? Milbank Q 2022; 100:1166-1191. [PMID: 36575952 PMCID: PMC9836237 DOI: 10.1111/1468-0009.12592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/10/2022] [Accepted: 07/18/2022] [Indexed: 12/29/2022] Open
Abstract
Policy Points Community mental health facilities often do not offer the full range of evidence-based clinical and support services for individuals with serious mental illness. Facilities were no more likely to offer six of seven services studied in 2019 compared with 2010 in both Medicaid expansion and nonexpansion states. For-profit facilities generally experienced the largest declines in service availability, while public facilities experienced the smallest declines with small increases in availability of select services. New payment models that incentivize the offer of specialty support services may be needed to encourage adoption of clinical and support services by specialty mental health organizations. CONTEXT Community mental health facilities often do not offer the full range of evidence-based clinical and support services for individuals with serious mental illness. This creates equity issues, particularly when low-income and minority communities have access to fewer facilities. Medicaid expansion might encourage facilities to offer these services. However, this decision may also be affected by facility ownership type or mediated by service cost structure, particularly in the absence of innovative payment mechanisms. In this study, we determine whether and how Medicaid expansion and facility ownership are associated with changes in specialty mental health service availability in organized settings over time. METHODS We estimated two-way fixed effects models using six cross-sections of the National Mental Health Services Survey and compared changes in facility-reported offering of seven services from 2010 to 2019 (54,885 facility years): psychotropic medication, case management, family psychoeducation, psychiatric emergency walk-in services, supported employment, assertive community treatment, illness management, and recovery services. We tested whether Medicaid expansion and facility ownership (private for-profit, private not-for-profit, public) were associated with differential changes in service availability from 2010 to 2019. FINDINGS Overall, facilities were no more likely to offer nearly all services in 2019 than 2010. We found smaller declines for psychotropic medication and psychiatric emergency walk-in services among facilities in Medicaid expansion states compared to declines in non-Medicaid expansion states (6.3 (95% CI 95% CI = 1.8-10.7) and 5.5 (95% CI = 0.2-10.8) percentage points respectively). For-profit facilities experienced the largest declines in availability from 2010 to 2019, while public facilities experienced the smallest declines and some increases in availability of select services. CONCLUSIONS Specialty mental health services are still not widely offered in community outpatient settings despite significant investments in Medicaid, although Medicaid expansion was associated with slower declines in availability. New payment models that incentivize outpatient facilities to offer clinical and support services may be needed.
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27
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Liu G, Chimowitz H, Isbell LM. Affective influences on clinical reasoning and diagnosis: insights from social psychology and new research opportunities. Diagnosis (Berl) 2022; 9:295-305. [PMID: 34981701 PMCID: PMC9424059 DOI: 10.1515/dx-2021-0115] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 12/13/2021] [Indexed: 01/08/2023]
Abstract
Psychological research consistently demonstrates that affect can play an important role in decision-making across a broad range of contexts. Despite this, the role of affect in clinical reasoning and medical decision-making has received relatively little attention. Integrating the affect, social cognition, and patient safety literatures can provide new insights that promise to advance our understanding of clinical reasoning and lay the foundation for novel interventions to reduce diagnostic errors and improve patient safety. In this paper, we briefly review the ways in which psychologists differentiate various types of affect. We then consider existing research examining the influence of both positive and negative affect on clinical reasoning and diagnosis. Finally, we introduce an empirically supported theoretical framework from social psychology that explains the cognitive processes by which these effects emerge and demonstrates that cognitive interventions can alter these processes. Such interventions, if adapted to a medical context, hold great promise for reducing errors that emerge from faulty thinking when healthcare providers experience different affective responses.
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Affiliation(s)
- Guanyu Liu
- Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Hannah Chimowitz
- Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Linda M. Isbell
- Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA, USA
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28
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Newton H, Busch SH, Brunette MF, Maust DT, O'Malley AJ, Meara E. Innovations in Care Delivery for Patients With Serious Mental Illness Among Accountable Care Organizations. Psychiatr Serv 2022; 73:889-896. [PMID: 35378992 PMCID: PMC9349464 DOI: 10.1176/appi.ps.202000484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study examined whether and how organizations participating in accountable care organization (ACO) contracts integrate primary care and treatment for patients with serious mental illness. METHODS This study used responses to the 2017–2018 National Survey of ACOs (55% response rate) to measure ACO-reported use of three integrated care strategies: care manager to address physical health treatment coordination or nonmedical needs (e.g., job support and housing), patient registries to track physical health conditions, and primary care clinician colocated in a specialty mental health setting. Logistic regression was used to determine associations between ACO characteristics and strategy use. RESULTS Of 399 respondents who answered questions on integration, 303 (76%) reported using at least one integrated care strategy in at least one location. Use of care managers (defined by the respondent) was most common (N=281, 70%), followed by use of a patient registry (N=146, 37%) and colocation of a primary care clinician in a specialty mental health setting (N=118, 30%). Respondents reporting that their largest Medicaid contract or largest commercial contract included quality measures specific to serious mental illness (e.g., antipsychotic adherence) were more likely to use each integrated care delivery strategy. Self-reported use of three collaborative care strategies (care management, patient registry, or mental health consulting clinician) for treatment of depression or anxiety was associated with use of integrated primary care and treatment for serious mental illness. CONCLUSIONS In a national survey of ACOs, few respondents reported using either patient registries or primary care colocation to integrate primary care and treatment for serious mental illness.
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Affiliation(s)
- Helen Newton
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
| | - Susan H Busch
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
| | - Mary F Brunette
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
| | - Donovan T Maust
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
| | - A James O'Malley
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
| | - Ellen Meara
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut (Newton, Busch); Department of Psychiatry (Brunette), Department of Biomedical Data Science (O'Malley), and Dartmouth Institute for Health Policy and Clinical Practice (O'Malley), Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Bureau of Mental Health, New Hampshire Department of Health and Human Services, Concord (Brunette); Department of Psychiatry, University of Michigan School of Medicine, and Department of Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan (Maust); Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, and National Bureau of Economic Research, Cambridge, Massachusetts (Meara)
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Figueroa JF, Phelan J, Newton H, Orav EJ, Meara ER. ACO Participation Associated With Decreased Spending For Medicare Beneficiaries With Serious Mental Illness. HEALTH AFFAIRS (PROJECT HOPE) 2022; 41:1182-1190. [PMID: 35914206 DOI: 10.1377/hlthaff.2022.00096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Serious mental illness (SMI) is a major source of suffering among Medicare beneficiaries. To date, limited evidence exists evaluating whether Medicare accountable care organizations (ACOs) are associated with decreased spending among people with SMI. Using national Medicare data from the period 2009-17, we performed difference-in-differences analyses evaluating changes in spending and use associated with enrollment in the Medicare Shared Savings Program (MSSP) among beneficiaries with SMI. After five years, participation in MSSP ACOs was associated with small savings for beneficiaries with SMI (-$233 per person per year) in total health care spending, primarily related to savings from chronic medical conditions (excluding mental health; -$227 per person per year) and not from savings related to mental health services (-$6 per person per year). Savings were driven by reductions in acute and postacute care for medical conditions. Further work is needed to ensure that Medicare ACOs invest in strategies to reduce potentially unnecessary care related to mental health disorders and to improve health outcomes.
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Affiliation(s)
- José F Figueroa
- José F. Figueroa , Harvard University and Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Helen Newton
- Helen Newton, Yale University, New Haven, Connecticut
| | - E John Orav
- E. John Orav, Harvard University and Brigham and Women's Hospital
| | - Ellen R Meara
- Ellen R. Meara, Harvard University; Dartmouth College, Lebanon, New Hampshire; and National Bureau of Economic Research, Cambridge, Massachusetts
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Parra Videla C, Sapag JC, Klabunde R, Velasco PR, Anríquez S, Aracena Álvarez M, Mascayano F, Bravo P, Sena BF, Jofré Escalona A, Bobbili SJ, Corrigan PW, Bustamante I, Poblete F, Alvarado R. Cross-cultural adaptation of four instruments to measure stigma towards people with mental illness and substance use problems among primary care professionals in Chile. Transcult Psychiatry 2022; 60:286-301. [PMID: 35821607 DOI: 10.1177/13634615221100377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Stigma toward people with mental illness and substance use problems is a significant global concern, and prevents people with these conditions from accessing treatment, particularly in primary health care (PHC) settings. Stigma is a cultural phenomenon that is influenced by particular contexts and can differ by country and region. The majority of stigma research focuses on Europe or North America leading to a lack of culturally relevant stigma research instruments for the Latin American context. The present study describes and discusses the methodology for cross-culturally adapting four stigma measurement scales to the Chilean context. The cross-cultural adaptation process included nine phases: (1) preparation; (2) independent translations; (3) synthesis 1 with expert committee; (4) focus groups and interviews with researchers, PHC professionals, and PHC users; (5) synthesis 2 with expert committee; (6) independent back translations; (7) synthesis 3 with expert committee; (8) pilot with PHC professionals; and (9) final revisions. The adaptation process included an array of diverse voices from the PHC context, and met three adaptation objectives defined prior to beginning the process (Understandability, Relevance, and Acceptability and Answer Options). The resulting, culturally adapted questionnaire is being validated and implemented within PHC settings across Chile to provide in-depth insight into stigma among PHC professionals in the country. The authors hope it will be useful for future research on mental illness and substance use stigma in similar settings across Latin America.
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Affiliation(s)
- Claudia Parra Videla
- Departamento de Salud Pública, Escuela de Medicina, Facultad de Medicina, 28033Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jaime C Sapag
- Departamentos de Salud Pública y Medicina Familiar, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.,Division of Clinical Public Health, Dalla Lana School of Public Health, 274071University of Toronto, Toronto, Ontario, Canada.,Collaborator Scientist WHO/PAHO Collaborating Centre, Institute for Mental Health Policy Research, 7978Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Rachel Klabunde
- Departamento de Salud Pública, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Paola R Velasco
- Collaborator Scientist WHO/PAHO Collaborating Centre, Institute for Mental Health Policy Research, 7978Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Samanta Anríquez
- Departamento de Salud Pública, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - Franco Mascayano
- Department of Epidemiology, Mailman School of Public Health, 33638Columbia University, New York, NY, USA.,Division of Behavioral Health Services and Policy Research, New York State Psychiatric Institute, New York, NY, USA
| | - Paulina Bravo
- Escuela de Enfermería, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.,School of Social Sciences, Cardiff University, Cardiff, UK
| | - Brena F Sena
- Center for Innovation in Social Work and Health, Boston University School of Social Work, Boston, MA, USA
| | - Ana Jofré Escalona
- Departamento de Salud Pública, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Sireesha J Bobbili
- WHO/PAHO Collaborating Centre for Addiction & Mental Health, Institute for Mental Health Policy Research, 7978Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Inés Bustamante
- Facultad de Salud Pública y Administración, 33216Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Fernando Poblete
- Departamento de Salud Pública, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Rubén Alvarado
- Instituto de Ciencias de la Salud, Universidad de O'Higgins, Rancagua, Chile/Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago, Chile
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Obed D, Schroeter A, Gruber L, Salim M, Krezdorn N, Vogt PM. Outcomes following burn injury in intensive care patients with major psychiatric disorders. Burns 2022; 49:830-837. [PMID: 35817650 DOI: 10.1016/j.burns.2022.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/14/2022] [Accepted: 06/27/2022] [Indexed: 11/02/2022]
Abstract
AIMS Patients with psychiatric comorbidity have been shown to experience high rates of burn injury. Burn epidemiology, etiology, and outcomes have been sparsely documented for patients with major psychiatric disorders. The aim of this study was to analyze the epidemiologic characteristics and outcomes in intensive care burn patients with pre-existing and acute major psychiatric disorders . METHODS A retrospective study was performed including intensive care burn patients admitted between March 2007 and December 2020. Demographic, clinical and epidemiological data were collected and analyzed. Major psychiatric co-morbidities were collected according to ICD-9 and ICD-10 classifications. Patients were stratified according to F-diagnoses. RESULTS A total of 1325 patients were included. 16.6 % of all patients had one or more major psychiatric disorders- 9.3 % with anxiety, dissociative, stress-related, somatoform and other nonpsychotic mental disorders, 9.2 % with mood (affective) disorders, 3.5 % with schizophrenia and other non-mood psychotic disorders, and 1.8 % with disorders of adult personality and behavior. Patients with major psychiatric disorders presented with significantly higher burn severity, reflected by higher abbreviated burn severity index (ABSI) scores (5.9 vs. 5.3, p < 0.001) and larger total body surface area (TBSA) affected (15.9 vs. 12.5 %, p = 0.002). Burned TBSA ≥ 30 and inhalation injuries were observed more frequently in patients with MDP, however without statistical significance. They also experienced prolonged hospital length-of-stay (LOS) (25.5 vs. 16.3 days, p < 0.001), prolonged intensive care unit LOS (14.8 vs. 7.7 days, p < 0.001), underwent surgical interventions (3.5 vs. 2.3, p < 0.001) and mechanical ventilation more frequently (34.1 % vs. 16.5 %, p = 0.43) and had significantly longer ventilation durations (73.5 vs. 31.2 h, p = 0.002). Mortality rates were lower compared to patients without major psychiatric disorders (5.9 vs. 8.1, p < 0.001). CONCLUSIONS The prevalence of major psychiatric disorders in burn patients is considerably high. Patients with psychiatric comorbidities were found to have greater burn severity, prolonged total hospital and ICU LOS, underwent surgical interventions and mechanical ventilation more frequently and had prolonged ventilation duration. Our results highlight the importance of identifying burn patients with major psychiatric disorders who may necessitate additional resources and require extensive inpatient psychiatric care and counseling.
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Affiliation(s)
- Doha Obed
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany.
| | - Andreas Schroeter
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany
| | - Lisa Gruber
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany
| | - Mustafa Salim
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Nicco Krezdorn
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany
| | - Peter M Vogt
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover, Germany
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Yuan CT, McGinty EE, Dalcin A, Goldsholl S, Dickerson F, Gudzune KA, Jerome GJ, Thompson DA, Murphy KA, Minahan E, Daumit GL. Scaling Evidence-Based Interventions to Improve the Cardiovascular Health of People With Serious Mental Illness. Front Psychiatry 2022; 13:793146. [PMID: 35185650 PMCID: PMC8855048 DOI: 10.3389/fpsyt.2022.793146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
People with serious mental illnesses (SMIs) experience excess mortality, driven in large part by high rates of cardiovascular disease (CVD), with all cardiovascular disease risk factors elevated. Interventions designed to improve the cardiovascular health of people with SMI have been shown to lead to clinically significant improvements in clinical trials; however, the uptake of these interventions into real-life clinical settings remains limited. Implementation strategies, which constitute the "how to" component of changing healthcare practice, are critical to supporting the scale-up of evidence-based interventions that can improve the cardiovascular health of people with SMI. And yet, implementation strategies are often poorly described and rarely justified theoretically in the literature, limiting the ability of researchers and practitioners to tease apart why, what, how, and when implementation strategies lead to improvement. In this Perspective, we describe the implementation strategies that the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness is using to scale-up three evidenced-based interventions related to: (1) weight loss; (2) tobacco smoking cessation treatment; and (3) hypertension, dyslipidemia, and diabetes care for people with SMI. Building on concepts from the literature on complex health interventions, we focus on considerations related to the core function of an intervention (i.e., or basic purposes of the change process that the health intervention seeks to facilitate) vs. the form (i.e., implementation strategies or specific activities taken to carry out core functions that are customized to local contexts). By clearly delineating how implementation strategies are operationalized to support the interventions' core functions across these three studies, we aim to build and improve the future evidence base of how to adapt, implement, and evaluate interventions to improve the cardiovascular health of people with SMI.
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Affiliation(s)
- Christina T. Yuan
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
| | - Emma E. McGinty
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
| | - Arlene Dalcin
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Stacy Goldsholl
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | | | - Kimberly A. Gudzune
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Gerald J. Jerome
- Department of Kinesiology, Towson University, Towson, MD, United States
| | - David A. Thompson
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Karly A. Murphy
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Eva Minahan
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Gail L. Daumit
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
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Kumar S, Duber HC, Kreuter W, Sabbatini AK. Disparities in cardiovascular outcomes among emergency department patients with mental illness. Am J Emerg Med 2022; 55:51-56. [PMID: 35279577 PMCID: PMC9018581 DOI: 10.1016/j.ajem.2022.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Patients with mental illness have been shown to receive lower quality of care and experience worse cardiovascular (CV) outcomes compared to those without mental illness. This present study examined mental health-related disparities in CV outcomes after an Emergency Department (ED) visit for chest pain. METHODS This retrospective cohort included adult Medicaid beneficiaries in Washington state discharged from the ED with a primary diagnosis of unspecified chest pain in 2010-2017. Outcomes for patients with any mental illness (any mental health diagnosis or mental-health specific service use within 1 year of an index ED visit) and serious mental illness (at least two claims (on different dates of service) within 1 year of an index ED visit with a diagnosis of schizophrenia, other psychotic disorder, or major mood disorder) were compared to those of patients without mental illness. Our outcomes of interest were the incidence of major adverse cardiac events (MACE) within 30 days and 6 months of discharge of their ED visit, defined as a composite of death, acute myocardial infarction (AMI), CV rehospitalization, or revascularization. Secondary outcomes included cardiovascular diagnostic testing (diagnostic angiography, stress testing, echocardiography, and coronary computed tomography (CT) angiography) rates within 30 days of ED discharge. Only treat-and-release visits were included for outcomes assessment. Hierarchical logistic random effects regression models assessed the association between mental illness and the outcomes of interest, controlling for age, gender, race, ethnicity, Elixhauser comorbidities, and health care use in the past year, as well as fixed year effects. RESULTS There were 98,812 treat-and-release ED visits in our dataset. At 30 days, enrollees with any mental illness had no differences in rates of MACE (AOR 0.96; 95% CI, 0.72-1.27) or any of the individual components. At 6 months, enrollees with any mental illness (AOR 1.86; 95% CI, 1.11-3.09) and serious mental illness (AOR 2.60; 95% CI 1.33-5.13) were significantly more likely to be hospitalized for a CV condition compared to those without mental illness. Individuals with any mental illness had higher rates of testing at 30 days (AOR 1.16; 95% CI 1.07-1.27). CONCLUSION Patients with mental illness have similar rates of MACE, but higher rates of certain CV outcomes, such as CV hospitalization and diagnostic testing, after an ED visit for chest pain.
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Affiliation(s)
- Shilpa Kumar
- University of Washington School of Medicine, Seattle, WA, United States of America.
| | - Herbert C Duber
- Department of Emergency Medicine, Section of Population Health, University of Washington, Seattle, WA, United States of America
| | - William Kreuter
- The Comparative Health Outcomes, Policy and Economics (CHOICE) Institute, University of Washington, Seattle, WA, United States of America
| | - Amber K Sabbatini
- Department of Emergency Medicine, Section of Population Health, University of Washington, Seattle, WA, United States of America
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Nasir LS. Managing Mentally Ill Patients in Primary Care. Fam Med 2022. [DOI: 10.1007/978-3-030-54441-6_31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Riano NS, Borowsky HM, Arnold EA, Olfson M, Walkup JT, Vittinghoff E, Cournos F, Dawson L, Bazazi AR, Crystal S, Mangurian C. HIV Testing and Counseling at U.S. Substance Use Treatment Facilities: A Missed Opportunity for Early Identification. Psychiatr Serv 2021; 72:1385-1391. [PMID: 34126780 PMCID: PMC8639611 DOI: 10.1176/appi.ps.202000524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The objective of this study was to determine the availability and national distribution of HIV testing and counseling at substance use treatment facilities in the United States. METHODS Analyses of data from the 2018 National Survey of Substance Abuse Treatment Services assessed HIV testing and counseling availability in U.S. substance use treatment facilities (excluding those in U.S. territories). Facilities were subcategorized by availability of mental health services and medication for opioid use disorders and compared by using logistic models. Descriptive statistics were calculated to characterize the availability of HIV testing and counseling by state, state HIV incidence, and facility characteristics. RESULTS Among U.S. substance use treatment facilities (N=14,691), 29% offered HIV testing, 53% offered HIV counseling, 23% offered both, and 41% offered neither. Across states, the proportions of facilities offering HIV testing ranged from 9.0% to 62.8%, and the proportion offering counseling ranged from 19.2% to 83.3%. In only three states was HIV testing offered by at least 50% of facilities. HIV testing was significantly more likely to be offered in facilities that offered medication for opioid use disorder (48.0% versus 16.0% in those not offering such medication) or mental health services (31.2% versus 24.1% in those not offering such services). Higher state-level HIV incidence was related to an increased proportion of facilities offering HIV testing. CONCLUSIONS Only three in 10 substance use treatment facilities offered HIV testing in 2018. This finding represents a missed opportunity for early identification of HIV among people receiving treatment for substance use disorders.
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Affiliation(s)
- Nicholas S Riano
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Hannah M Borowsky
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Emily A Arnold
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Mark Olfson
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - James T Walkup
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Eric Vittinghoff
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Francine Cournos
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Lindsey Dawson
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Alexander R Bazazi
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Stephen Crystal
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
| | - Christina Mangurian
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences (Riano, Bazazi, Mangurian), School of Medicine (Borowsky, Arnold), Center for AIDS Prevention Studies (Arnold), and Department of Epidemiology and Biostatistics (Vittinghoff, Mangurian), University of California, San Francisco, San Francisco; New York State Psychiatric Institute, New York City (Olfson, Cournos); Department of Psychiatry, Vagelos College of Physicians and Surgeons (Olfson), and Mailman School of Public Health (Cournos), Columbia University, New York City; Institute for Health, Health Care Policy and Aging Research (Walkup) and Center for Health Services Research (Crystal), Rutgers University, New Brunswick, New Jersey; Kaiser Family Foundation, HIV Policy, Washington, D.C. (Dawson)
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Aloudah NM, Almanea H, Alotaibi K, Al Rubeaan KA. Quality of diabetes care among patients with schizophrenia. A mixed-methods study. EXPLORATORY RESEARCH IN CLINICAL AND SOCIAL PHARMACY 2021; 4:100070. [PMID: 35479839 PMCID: PMC9029903 DOI: 10.1016/j.rcsop.2021.100070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 09/11/2021] [Accepted: 09/11/2021] [Indexed: 11/09/2022] Open
Abstract
Objectives Patients with schizophrenia are at high risk of developing diabetes. Our study aimed to determine the prevalence of diabetes in patients with schizophrenia and assess their quality of diabetes care. We further aimed to explore the factors affecting diabetes care in patients with schizophrenia. Research design and methods We conducted a retrospective review of medical records for patients presenting with schizophrenia from October 2017 to October 2018. Thereafter, we conducted semi-structured interviews based on the Theoretical Domains Framework to explore healthcare providers' attitudes and perspectives toward diabetes care in patients with schizophrenia at a tertiary hospital for mental health services in Saudi Arabia. Results The prevalence of diabetes in patients with schizophrenia was 3.7%. The rates of annual testing for quality indicators of diabetes were 8.6% for HgbA1c and 31.4% for low-density lipoprotein cholesterol (LDL-C). Screenings for albuminuria and examinations of the eyes and feet were not conducted. Documentation of smoking status was done infrequently (8.6%). The in-depth interviews uncovered issues with managing diabetes in patients with schizophrenia. We identified four themes: the consequences of poor quality diabetic care provided to patients with schizophrenia; problems with the identification of diabetes in patients with schizophrenia; challenges in the management of patients with both diabetes and schizophrenia; and opportunities to improve the quality of diabetes care provided to patients with schizophrenia. Conclusions This study identified areas that need a considerable amount of work to be undertaken in Saudi Arabia to help patients with schizophrenia. There are numerous opportunities for improving the quality of Type 2 diabetes care such as the involvement of pharmacists to effectively manage diabetes and expanding community-based health services to include mental health, which could accelerate improved care services.
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Presskreischer R, Kennedy-Hendricks A, Bandara S, Busch AB, Daumit GL, McGinty EE. Association Between Enrollment in Maryland's Behavioral Health Homes and Use of Outpatient Mental Health Services. Psychiatr Serv 2021; 72:1337-1340. [PMID: 34015969 PMCID: PMC8570965 DOI: 10.1176/appi.ps.202000658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study examined the association between enrollment in Maryland's behavioral health home (BHH) program and use of outpatient mental health services among people with serious mental illness. METHODS The study sample, drawn from Maryland Medicaid administrative claims data from 2012 through 2017, included 12,232 individuals ages 21-64 with a serious mental illness who were enrolled in a BHH (N=3,319) or never enrolled (N=8,913). A marginal structural modeling approach with inverse probability of treatment weighting was used to examine the association between BHH enrollment and outpatient mental health utilization, measured as the number of visits per 3-month period. RESULTS BHH enrollment was associated with 0.8 additional outpatient mental health visits per 3-month period, or approximately three additional visits annually. CONCLUSIONS A specialty mental health system-based health home model with a primary goal of improving access to general medical care was associated with increased use of outpatient mental health services.
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Affiliation(s)
- Rachel Presskreischer
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Alene Kennedy-Hendricks
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sachini Bandara
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Alisa B. Busch
- McLean Hospital, Belmont, Massachusetts
- Department of Healthcare Policy, Harvard Medical School, Boston, Massachusetts
| | - Gail L. Daumit
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Emma E. McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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McGinty EE, Presskreischer R, Breslau J, Brown JD, Domino ME, Druss BG, Horvitz-Lennon M, Murphy KA, Pincus HA, Daumit GL. Improving Physical Health Among People With Serious Mental Illness: The Role of the Specialty Mental Health Sector. Psychiatr Serv 2021; 72:1301-1310. [PMID: 34074150 PMCID: PMC8570967 DOI: 10.1176/appi.ps.202000768] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
People with serious mental illness die 10-20 years earlier, compared with the overall population, and the excess mortality is driven by undertreated physical health conditions. In the United States, there is growing interest in models integrating physical health care delivery, management, or coordination into specialty mental health programs, sometimes called "reverse integration." In November 2019, the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness convened a forum of 25 experts to discuss the current state of the evidence on integrated care models based in the specialty mental health system and to identify priorities for future research, policy, and practice. This article summarizes the group's conclusions. Key research priorities include identifying the active ingredients in multicomponent integrated care models and developing and validating integration performance metrics. Key policy and practice recommendations include developing new financing mechanisms and implementing strategies to build workforce and data capacity. Forum participants also highlighted an overarching need to address socioeconomic risks contributing to excess mortality among adults with serious mental illness.
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Affiliation(s)
- Emma E McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Rachel Presskreischer
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Joshua Breslau
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Jonathan D Brown
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Marisa Elena Domino
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Benjamin G Druss
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Marcela Horvitz-Lennon
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Karly A Murphy
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Harold Alan Pincus
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
| | - Gail L Daumit
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (McGinty, Presskreischer); RAND Corporation, Pittsburgh (Breslau) and Boston (Horvitz-Lennon); Mathematica, Washington, D.C. (Brown); Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (Domino); Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta (Druss); Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore (Murphy, Daumit); Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York City (Pincus)
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Onen S, Taymur I. Evidence for the atherogenic index of plasma as a potential biomarker for cardiovascular disease in schizophrenia. J Psychopharmacol 2021; 35:1120-1126. [PMID: 34176366 DOI: 10.1177/02698811211026450] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Schizophrenia is known to be accompanied with increased cardiovascular mortality, which causes reduced life expectancy. AIM The aim of the current study was to investigate if atherogenic index of plasma (AIP) could be a good marker in assessing cardiovascular disease (CVD) risk in patients with schizophrenia. METHODS Patients with schizophrenia (n = 328) and healthy controls (n = 141) were recruited. Schizophrenia patients were evaluated according to the presence of antipsychotic (AP) drug use as AP(+)Sch group and AP(-)Sch group. Atherogenic indices, such as AIP, Castelli's risk index-I (CRI-I), Castelli's risk index-II (CRI-II), and atherogenic coefficient (AC), were calculated according to the laboratory examination of serum lipid parameters. RESULTS According to the comparison of serum lipid levels, triglyceride (TG) levels were found to be highest and high-density lipoprotein-cholesterol levels were lowest in AP(+)Sch group than AP(-)Sch group and control group (CG) (p < 0.001). AIP, CRI-I, and CRI-II scores were found to be significantly higher in AP(+)Sch group than AP(-)Sch group, and in AP(-)Sch than healthy controls (p < 0.001). Mean AC scores were higher in AP(+)Sch group than both AP(-)Sch and CG and were similar in AP(-)Sch and control subjects (p < 0.001). According to the correlation analysis, AIP scores were positively correlated with duration of disease (r = 0.235; p = 0.002) and age (r = 0.226; p = 0.003) in AP(+)Sch group but not in drug-free subjects. In all groups, atherogenic indices of CRI-I, CRI-II, and AC scores were found to be positively correlated with AIP scores (p < 0.001). CONCLUSION Our results suggest that AIP is an easily calculable and reliable marker for determining the CVD risk in both drug-free schizophrenia patients and patients under AP treatment.
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Affiliation(s)
- Sinay Onen
- Department of Psychiatry, Bursa Yuksek Ihtisas Training and Research Hospital, University of Health Sciences, Bursa, Turkey
| | - Ibrahim Taymur
- Department of Psychiatry, Bursa Yuksek Ihtisas Training and Research Hospital, University of Health Sciences, Bursa, Turkey
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Kennedy‐Hendricks A, Bandara S, Daumit GL, Busch AB, Stone EM, Stuart EA, Murphy KA, McGinty EE. Behavioral health home impact on transitional care and readmissions among adults with serious mental illness. Health Serv Res 2021; 56:432-439. [PMID: 33118187 PMCID: PMC8143677 DOI: 10.1111/1475-6773.13594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE To evaluate the impact of Maryland's behavioral health homes (BHHs) on receipt of follow-up care and readmissions following hospitalization among Medicaid enrollees with serious mental illness (SMI). DATA SOURCES Maryland Medicaid administrative claims for 12 232 individuals. STUDY DESIGN Weighted marginal structural models were estimated to account for time-varying exposure to BHH enrollment and time-varying confounders. These models compared changes over time in outcomes among BHH and comparison participants. Outcome measures included readmissions and follow-up care within 7 and 30 days following hospitalization. DATA COLLECTION/EXTRACTION METHODS Eligibility criteria included continuous enrollment in Medicaid for the first two years of the study period; 21-64 years; and use of psychiatric rehabilitation services. PRINCIPAL FINDINGS Over three years, BHH enrollment was associated with 3.8 percentage point (95% CI: 1.5, 6.1) increased probability of having a mental health follow-up service within 7 days of discharge from a mental illness-related hospitalization and 1.9 percentage point (95% CI: 0.0, 3.9) increased probability of having a general medical follow-up within 7 days of discharge from a somatic hospitalization. BHHs had no effect on probability of readmission. CONCLUSIONS BHHs may improve follow-up care for Medicaid enrollees with SMI, but effects do not translate into reduced risk of readmission.
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Affiliation(s)
- Alene Kennedy‐Hendricks
- Department of Health Policy and ManagementJohns Hopkins Center for Mental Health and Addiction PolicyBaltimoreMarylandUSA
| | - Sachini Bandara
- Department of Mental HealthJohns Hopkins Center for Mental Health and Addiction PolicyBaltimoreMarylandUSA
| | - Gail L. Daumit
- Department of MedicineALACRITY Center for Health and Longevity in Mental IllnessJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Alisa B. Busch
- McLean HospitalHarvard Medical SchoolBelmontMassachusettsUSA
| | - Elizabeth M. Stone
- Department of Health Policy and ManagementJohns Hopkins Center for Mental Health and Addiction PolicyBaltimoreMarylandUSA
| | - Elizabeth A. Stuart
- Department of Mental HealthALACRITY Center for Health and Longevity in Mental IllnessJohns Hopkins Center for Mental Health and Addiction PolicyBaltimoreMarylandUSA
| | - Karly A. Murphy
- Department of MedicineALACRITY Center for Health and Longevity in Mental IllnessJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Emma E. McGinty
- Department of Health Policy and ManagementALACRITY Center for Health and Longevity in Mental IllnessJohns Hopkins Center for Mental Health and Addiction PolicyBaltimoreMarylandUSA
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Lister J, Han L, Bellass S, Taylor J, Alderson SL, Doran T, Gilbody S, Hewitt C, Holt RIG, Jacobs R, Kitchen CEW, Prady SL, Radford J, Ride JR, Shiers D, Wang HI, Siddiqi N. Identifying determinants of diabetes risk and outcomes for people with severe mental illness: a mixed-methods study. HEALTH SERVICES AND DELIVERY RESEARCH 2021. [DOI: 10.3310/hsdr09100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background
People with severe mental illness experience poorer health outcomes than the general population. Diabetes contributes significantly to this health gap.
Objectives
The objectives were to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with severe mental illness.
Design
Under a social inequalities framework, a concurrent mixed-methods design combined analysis of linked primary care records with qualitative interviews.
Setting
The quantitative study was carried out in general practices in England (2000–16). The qualitative study was a community study (undertaken in the North West and in Yorkshire and the Humber).
Participants
The quantitative study used the longitudinal health records of 32,781 people with severe mental illness (a subset of 3448 people had diabetes) and 9551 ‘controls’ (with diabetes but no severe mental illness), matched on age, sex and practice, from the Clinical Practice Research Datalink (GOLD version). The qualitative study participants comprised 39 adults with diabetes and severe mental illness, nine family members and 30 health-care staff.
Data sources
The Clinical Practice Research Datalink (GOLD) individual patient data were linked to Hospital Episode Statistics, Office for National Statistics mortality data and the Index of Multiple Deprivation.
Results
People with severe mental illness were more likely to have diabetes if they were taking atypical antipsychotics, were living in areas of social deprivation, or were of Asian or black ethnicity. A substantial minority developed diabetes prior to severe mental illness. Compared with people with diabetes alone, people with both severe mental illness and diabetes received more frequent physical checks, maintained tighter glycaemic and blood pressure control, and had fewer recorded physical comorbidities and elective admissions, on average. However, they had more emergency admissions (incidence rate ratio 1.14, 95% confidence interval 0.96 to 1.36) and a significantly higher risk of all-cause mortality than people with diabetes but no severe mental illness (hazard ratio 1.89, 95% confidence interval 1.59 to 2.26). These paradoxical results may be explained by other findings. For example, people with severe mental illness and diabetes were more likely to live in socially deprived areas, which is associated with reduced frequency of health checks, poorer health outcomes and higher mortality risk. In interviews, participants frequently described prioritising their mental illness over their diabetes (e.g. tolerating antipsychotic side effects, despite awareness of harmful impacts on diabetes control) and feeling overwhelmed by competing treatment demands from multiple morbidities. Both service users and practitioners acknowledged misattributing physical symptoms to poor mental health (‘diagnostic overshadowing’).
Limitations
Data may not be nationally representative for all relevant covariates, and the completeness of recording varied across practices.
Conclusions
People with severe mental illness and diabetes experience poorer health outcomes than, and deficiencies in some aspects of health care compared with, people with diabetes alone.
Future work
These findings can inform the development of targeted interventions aimed at addressing inequalities in this population.
Study registration
National Institute for Health Research (NIHR) Central Portfolio Management System (37024); and ClinicalTrials.gov NCT03534921.
Funding
This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Jennie Lister
- Department of Health Sciences, University of York, York, UK
| | - Lu Han
- Department of Health Sciences, University of York, York, UK
| | - Sue Bellass
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Jo Taylor
- Department of Health Sciences, University of York, York, UK
| | - Sarah L Alderson
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Tim Doran
- Department of Health Sciences, University of York, York, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK
| | | | - Richard IG Holt
- Faculty of Medicine, University of Southampton, Southampton, UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Rowena Jacobs
- Centre for Health Economics, University of York, York, UK
| | | | | | - John Radford
- Patient and public involvement representative, Keighley, UK
| | - Jemimah R Ride
- Centre for Health Policy, School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - David Shiers
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Primary Care and Health Sciences, Keele University, Keele, UK
| | - Han-I Wang
- Department of Health Sciences, University of York, York, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
- Bradford District Care NHS Foundation Trust, Bradford, UK
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Forbes LA, Canner JK, Milio L, Halscott T, Vaught AJ. Association of Patient Sex and Pregnancy Status With Naloxone Administration During Emergency Department Visits. Obstet Gynecol 2021; 137:855-863. [PMID: 33831915 PMCID: PMC8058255 DOI: 10.1097/aog.0000000000004357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 01/28/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate the association of sex and pregnancy status with rates of naloxone administration during opioid overdose-related emergency department (ED) visits by using the Nationwide Emergency Department Sample. METHODS A retrospective cohort study was conducted using the Nationwide Emergency Department Sample 2016 and 2017 data sets. Eligible records included men and women, 15-49 years of age, with an opioid overdose-related ED visit; records for women were stratified by pregnancy status (International Classification of Diseases, Tenth Revision O codes). A multivariable logistic regression model was used to assess the primary outcome of naloxone administration (Current Procedural Terminology code: J2310). Secondary outcomes included subsequent admission and mortality. A subgroup analysis compared pregnant women who did receive naloxone compared with those who did not receive naloxone. RESULTS Records from 443,714 men, 304,364 nonpregnant women, and 25,056 pregnant women were included. Nonpregnant women had lower odds for naloxone administration (1.70% vs 2.10%; adjusted odds ratio [aOR] 0.86 [95% CI 0.83-0.89]) and mortality (2.21% vs 2.99%; aOR 0.71 [95% CI 0.69-0.73]) but higher odds of subsequent admission (30.22% vs 27.18%; aOR 1.04 [95% CI 1.03-1.06]) compared with men. Pregnant women had lower odds for naloxone administration (0.27% vs 1.70%; aOR 0.16 [95% CI 0.13-0.21]) and mortality (0.41% vs 2.21%; aOR 0.28 [95% CI 0.23-0.35]) but higher odds of subsequent admission (40.50% vs 30.22%; aOR 2.04 [95% CI 2.00-2.10]) compared with nonpregnant women. Pregnant women who received naloxone had higher odds of mortality (14% vs 0.39%; aOR 6.30 [95% CI 2.11-18.78]) compared with pregnant women who did not receive naloxone. Pregnant women who did not receive naloxone were more likely to have Medicaid as their expected insurance payer, be in the lowest quartile of median household income for residence ZIP codes, and have a concurrent mental health diagnosis compared with pregnant women who did receive naloxone. CONCLUSION Reproductive-aged women who are nonpregnant and pregnant were less likely to receive naloxone during opioid overdose-related ED visits compared with reproductive-aged men. Naloxone administration for reproductive-aged women should be prioritized in the efforts to reduce opioid- and pregnancy-related morbidity and mortality in the United States.
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Affiliation(s)
- Lauren A. Forbes
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
- Brody School of Medicine, East Carolina University, Greenville, NC
| | - Joseph K. Canner
- Johns Hopkins School of Medicine Department of Surgery, Center for Outcomes Research, Baltimore, MD
| | - Lorraine Milio
- Johns Hopkins School of Medicine Department of Gynecology and Obstetrics, Division of Maternal Fetal Medicine, Baltimore, MD
| | - Torre Halscott
- Johns Hopkins School of Medicine Department of Gynecology and Obstetrics, Division of Maternal Fetal Medicine, Baltimore, MD
| | - Arthur Jason Vaught
- Johns Hopkins School of Medicine Department of Gynecology and Obstetrics, Division of Maternal Fetal Medicine, Baltimore, MD
- Johns Hopkins Hospital Department of Surgery, Division of Surgical Critical Care, Baltimore, MD
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Konishi T, Fujiogi M, Michihata N, Tanaka-Mizutani H, Morita K, Matsui H, Fushimi K, Tanabe M, Seto Y, Yasunaga H. Breast cancer surgery in patients with schizophrenia: short-term outcomes from a nationwide cohort. Br J Surg 2021; 108:168-173. [PMID: 33711128 DOI: 10.1093/bjs/znaa070] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/04/2020] [Accepted: 09/30/2020] [Indexed: 01/25/2023]
Abstract
BACKGROUND Although patients with schizophrenia have a higher risk of developing breast cancer than the general population, studies that have investigated postoperative complications after breast cancer surgery in patients with schizophrenia are scarce. This study examined associations between schizophrenia and short-term outcomes following breast cancer surgery. METHODS Patients who underwent surgery for stage 0-III breast cancer between July 2010 and March 2017 were identified from a Japanese nationwide inpatient database. Multivariable analyses were conducted to compare postoperative complications and hospitalization costs between patients with schizophrenia and those without any psychiatric disorder. Three sensitivity analyses were performed: a 1 : 4 matched-pair cohort analysis with matching for age, institution, and fiscal year at admission; analyses excluding patients with schizophrenia who were not taking antipsychotic medication; and analyses excluding patients with schizophrenia who were admitted to hospital involuntarily. RESULTS The study included 3660 patients with schizophrenia and 350 860 without any psychiatric disorder. Patients with schizophrenia had a higher in-hospital morbidity (odds ratio (OR) 1.37, 95 per cent c.i. 1.21 to 1.55), with more postoperative bleeding (OR 1.34, 1.05 to 1.71) surgical-site infections (OR 1.22, 1.04 to 1.43), and sepsis (OR 1.20, 1.03 to 1.41). The total cost of hospitalization (coefficient €743, 95 per cent c.i. 680 to 806) was higher than that for patients without any psychiatric disorder. All sensitivity analyses showed similar results to the main analyses. CONCLUSION Although causal inferences remain premature, multivariable regression analyses showed that schizophrenia was associated with greater in-hospital morbidity and higher total cost of hospitalization after breast cancer surgery than in the general population.
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Affiliation(s)
- T Konishi
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.,Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan
| | - M Fujiogi
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan
| | - N Michihata
- Department of Health Services Research, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - H Tanaka-Mizutani
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - K Morita
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan.,Department of Health Services, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - H Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan
| | - K Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan
| | - M Tanabe
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Y Seto
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.,Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - H Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan
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Anderson KE, Alexander GC, Niles L, Scholle SH, Saloner B, Dy SM. Quality of Preventive and Chronic Illness Care for Insured Adults With Opioid Use Disorder. JAMA Netw Open 2021; 4:e214925. [PMID: 33830229 PMCID: PMC8033422 DOI: 10.1001/jamanetworkopen.2021.4925] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
IMPORTANCE Nearly all initiatives to improve care for individuals with opioid use disorder (OUD) have focused on improving OUD identification and treatment. Whether individuals with OUD have lower quality of care than individuals without OUD remains unclear. OBJECTIVE To measure quality of non-OUD preventive and chronic illness care and care coordination for individuals with OUD compared with individuals without OUD. DESIGN, SETTING, AND PARTICIPANTS A cross-sectional study of deidentified data on outpatients throughout the US was conducted. Claims for 79 372 commercially insured and Medicare Advantage enrollees aged 18 years or older with diagnosis codes for OUD between January 1, 2018, and December 31, 2019, and 46 601 individuals without OUD were included in the analysis. EXPOSURE Diagnosis of OUD. MAIN OUTCOMES AND MEASURES Quality indicator performance was calculated, using claims for individuals with OUD and matched comparators without OUD. Within 3 domains of outpatient care quality (preventive care, chronic illness care, and care coordination), 6 indicators used in accountability programs were selected. Performance for individuals with and without OUD was compared, and logistic regression was used to analyze sociodemographic and comorbidity characteristics associated with higher quality of health care. RESULTS The study included 125 973 individuals, including 69 466 (55.1%) women and 78 225 (62.1%) White individuals, with a mean (SD) age of 59.0 (16.1) years. For the preventive care measure examining breast cancer screening, performance for the OUD cohort was 55.4% (95% CI, 54.7%-56.0%) compared with 65.6% (95% CI, 64.4%-66.7%) for individuals without OUD (P < .001). Quality of care for adherence to statin therapy was lower for individuals with OUD (70.4%; 95% CI, 68.7%-72.1%) compared with individuals without OUD (76.7%; 95% CI, 74.4%-78.7%) (P < .001) and for the hemoglobin A1c testing indicator (OUD: 80.9%; 95% CI, 80.4%-81.5%; comparator: 85.8%; 95% CI, 84.9%-86.8%; P < .001). Care coordination quality also was lower for individuals with OUD compared with those without OUD for mental health follow-up (OUD: 45.3%; 95% CI, 44.6%-46.0%; comparator: 52.5%; 95% CI, 50.0%-55.0%; P < .001) and for potentially avoidable hospitalizations for chronic conditions (OUD: 11.4%; 95% CI, 11.2%-11.7%; comparator: 8.8%; 95% CI, 8.3%-9.2%; P < .001) and diabetes, where a lower score indicates higher quality (OUD: 2.4%; 95% CI, 2.3%-2.5%; comparator: 1.9%; 95% CI, 1.7%-2.1%; P = .001). CONCLUSIONS AND RELEVANCE These findings suggest that individuals with OUD have moderately lower quality of care across preventive and chronic illness care and care coordination for non-OUD care compared with individuals without OUD. More attention to measurement and improvement of non-OUD care for these individuals is needed.
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Affiliation(s)
- Kelly E. Anderson
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - G. Caleb Alexander
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
- OptumLabs Visiting Fellow, OptumLabs, Eden Prairie, Minnesota
| | - Lauren Niles
- National Committee for Quality Assurance, Washington, DC
| | | | - Brendan Saloner
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sydney M. Dy
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
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McGinty EE, Thompson D, Murphy KA, Stuart EA, Wang NY, Dalcin A, Mace E, Gennusa JV, Daumit GL. Adapting the Comprehensive Unit Safety Program (CUSP) implementation strategy to increase delivery of evidence-based cardiovascular risk factor care in community mental health organizations: protocol for a pilot study. Implement Sci Commun 2021; 2:26. [PMID: 33663620 PMCID: PMC7931551 DOI: 10.1186/s43058-021-00129-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 02/15/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND People with serious mental illnesses (SMI) such as schizophrenia and bipolar disorder experience excess mortality driven in large part by high rates of poorly controlled and under-treated cardiovascular risk factors. In the USA, integrated "behavioral health home" models in which specialty mental health organizations coordinate and manage physical health care for people with SMI are designed to improve guideline-concordant cardiovascular care for this group. Such models have been shown to improve cardiovascular care for clients with SMI in randomized clinical trials, but real-world implementation has fallen short. Key implementation barriers include lack of alignment of specialty mental health program culture and physical health care coordination and management for clients with SMI and lack of structured protocols for conducting effective physical health care coordination and management in the specialty mental health program context. This protocol describes a pilot study of an implementation intervention designed to overcome these barriers. METHODS This pilot study uses a single-group, pre/post-study design to examine the effects of an adapted Comprehensive Unit Safety Program (CUSP) implementation strategy designed to support behavioral health home programs in conducting effective cardiovascular care coordination and management for clients with SMI. The CUSP strategy, which was originally designed to improve inpatient safety, includes provider training, expert facilitation, and implementation of a five-step quality improvement process. We will examine the acceptability, appropriateness, and feasibility of the implementation strategy and how this strategy influences mental health organization culture; specialty mental health providers' self-efficacy to conduct evidence-based cardiovascular care coordination and management; and receipt of guideline-concordant care for hypertension, dyslipidemia, and diabetes mellitus among people with SMI. DISCUSSION While we apply CUSP to the implementation of evidence-based hypertension, dyslipidemia, and diabetes care, this implementation strategy could be used in the future to support the delivery of other types of evidence-based care, such as smoking cessation treatment, in behavioral health home programs. CUSP is designed to be fully integrated into organizations, sustained indefinitely, and used to continually improve evidence-based practice delivery. TRIAL REGISTRATION ClinicalTrials.gov, NCT04696653 . Registered on January 6, 2021.
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Affiliation(s)
- Emma Elizabeth McGinty
- Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Room 359, Baltimore, MD 21205 USA
| | - David Thompson
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Karly A. Murphy
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Elizabeth A. Stuart
- Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Room 359, Baltimore, MD 21205 USA
| | - Nae-Yuh Wang
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Arlene Dalcin
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Elizabeth Mace
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Joseph V. Gennusa
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
| | - Gail L. Daumit
- Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21202 USA
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Breslau J, Leckman-Westin E, Han B, Guarasi D, Yu H, Horvitz-Lennon M, Pritam R, Finnerty M. Providing Health Physicals and/or Health Monitoring Services in Mental Health Clinics: Impact on Laboratory Screening and Monitoring for High Risk Populations. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2021; 48:279-289. [PMID: 32705374 PMCID: PMC7854854 DOI: 10.1007/s10488-020-01071-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Providing physical health care in specialty mental health clinics is a promising approach to improving the health status of adults with serious mental illness, but most programs examined in prior studies are not financially sustainable. This study assessed the impact on quality of care of a low-cost program implemented in New York State that allowed mental health clinics to be reimbursed by Medicaid for provision of health monitoring and health physicals (HM/HP). Medicaid claims data were analyzed with generalized linear multilevel models to examine change over time in quality of physical health care associated with HM/HP services. Recipients of HM/HP services were compared to control clinic patients [Per protocol (PP)] and with non-recipients of HM/HP services from both intervention and control clinics [As-Treated (AT)]. HM/HP clinic patients, regardless of receipt of HM/HP services, were compared with control clinic patients [Intent-to-Treat (ITT)]. Analyses were conducted with adjustment for patient demographic and clinical characteristics and prior year service use. The PP and AT analyses found significant improvement in measure of blood glucose screening for patients on antipsychotic medication and HbA1C testing for patients with diabetes (AOR range 1.26-1.33) and the AT analysis found significant improvement in cholesterol screening for patients on antipsychotic medication (AOR 1.24). However, ITT analysis found no significant changes in quality of care in HM/HP clinic caseloads relative to control clinics. The low-cost HM/HP program has the potential to benefit patients who receive supported services, but its impact is limited by remaining barriers to service implementation.
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Affiliation(s)
- Joshua Breslau
- RAND Corporation, 4570 Fifth Avenue, Suite, Pittsburgh, PA, 15213, USA.
| | | | - Bing Han
- RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA
| | - Diana Guarasi
- New York State Office of Mental Health, 44 Holland Ave, Albany, NY, 12229, USA
| | - Hao Yu
- Harvard Pilgrim Health Care Institute, Harvard Medical School, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA
| | | | - Riti Pritam
- New York State Office of Mental Health, 44 Holland Ave, Albany, NY, 12229, USA
| | - Molly Finnerty
- New York University, Langone Medical Center, New York, NY, 10016, USA
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Serious Mental Illness in Primary Care: a National Physician Survey. J Gen Intern Med 2021; 36:833-835. [PMID: 32524252 PMCID: PMC7947081 DOI: 10.1007/s11606-020-05950-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 05/29/2020] [Indexed: 10/24/2022]
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Schnitzer K, Cather C, Zvonar V, Dechert A, Plummer R, Lowman K, Pachas G, Potter K, Evins AE. Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study. J Particip Med 2021; 13:e21934. [PMID: 33576747 PMCID: PMC7910121 DOI: 10.2196/21934] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/12/2020] [Accepted: 12/24/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In a previous study, participation in a 16-week reverse integrated care and group behavioral and educational intervention for individuals with diabetes and serious mental illness was associated with improved glycemic control (hemoglobin A1c) and BMI. To inform future implementation efforts, more information about the effective components of the intervention is needed. OBJECTIVE The goal of this study is to identify the aspects of the intervention participants reported to be helpful and to evaluate the predictors of outcomes. METHODS This study involved qualitative evaluation and post hoc quantitative analysis of a previous intervention. Qualitative data were collected using semistructured interviews with 69% (24/35) of the individuals who attended 1 or more group sessions and 35% (9/26) of the individuals who consented but attended no sessions. Quantitative mixed effects modeling was performed to test whether improved diabetes knowledge, diet, and exercise or higher group attendance predicted improved hemoglobin A1c and BMI. These interview and modeling outcomes were combined using a mixed methods case study framework and integrated thematically. RESULTS In qualitative interviews, participants identified the application of health-related knowledge gained to real-world situations, accountability for goals, positive reinforcement and group support, and increased confidence in prioritizing health goals as factors contributing to the success of the behavioral intervention. Improved knowledge of diabetes was associated with reduced BMI (β=-1.27, SD 0.40; P=.003). No quantitative variables examined were significantly associated with improved hemoglobin A1c levels. CONCLUSIONS In this mixed methods analysis of predictors of success in a behavioral diabetes management program, group participants highlighted the value of positive reinforcement and group support, accountability for goals set, and real-world application of health-related knowledge gained. Improved diabetes knowledge was associated with weight loss.
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Affiliation(s)
- Kristina Schnitzer
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Corrine Cather
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States.,Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Vanya Zvonar
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States.,Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Alyson Dechert
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Rachel Plummer
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Kelsey Lowman
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Gladys Pachas
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Kevin Potter
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States.,Department of Biostatistics, Massachusetts General Hospital, Boston, MA, United States
| | - Anne Eden Evins
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Center for Addiction Medicine, Massachusetts General Hospital, Boston, MA, United States
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McGinty EE, Murphy KA, Dalcin AT, Stuart EA, Wang NY, Dickerson F, Gudzune K, Jerome G, Thompson D, Cullen BA, Gennusa J, Kilbourne AM, Daumit GL. A Model for Advancing Scale-Up of Complex Interventions for Vulnerable Populations: the ALACRITY Center for Health and Longevity in Mental Illness. J Gen Intern Med 2021; 36:500-505. [PMID: 32869192 PMCID: PMC7878664 DOI: 10.1007/s11606-020-06137-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 08/11/2020] [Indexed: 12/17/2022]
Abstract
Many of the most pressing health issues in the USA and worldwide require complex, multi-faceted solutions. Delivery of such solutions is often complicated by the need to reach and engage vulnerable populations facing multiple barriers to care. While the fields of quality improvement and implementation science have made valuable gains in the development and spread of individual strategies to improve evidence-based practice delivery, models for coordinated deployment of numerous strategies to simultaneously implement multiple evidence-based interventions in vulnerable populations are lacking. In this Perspective, we describe a model for this type of comprehensive research-practice translation effort: the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness, which is focused on reducing premature mortality in the population with serious mental illness. We describe the Center's conceptual framework, which is built upon an integrated set of quality improvement and implementation science frameworks, provide an overview of the Center's organizational structure and core research-practice translation activities, and discuss our vision for how the Center may evolve over time. Lessons learned from this Center's efforts could inform models to address other critical health issues in vulnerable populations that require multi-component solutions at the policy, system, provider, and patient levels.
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Affiliation(s)
- Emma E McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Karly A Murphy
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Arlene T Dalcin
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Elizabeth A Stuart
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nae-Yuh Wang
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Kim Gudzune
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Gerald Jerome
- Department of Kinesiology, Towson University, Towson, MD, USA
| | - David Thompson
- Department of Anesthesiology and Critical Care and Armstrong Institute for Patient Safety and Quality, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Bernadette A Cullen
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joseph Gennusa
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Amy M Kilbourne
- Health Services Research and Development Service, Veterans Health Administration, US Department of Veterans Affairs and Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MD, USA
| | - Gail L Daumit
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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50
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Stockbridge EL, Webb NJ, Dhakal E, Garg M, Loethen AD, Miller TL, Nandy K. Antipsychotic medication adherence and preventive diabetes screening in Medicaid enrollees with serious mental illness: an analysis of real-world administrative data. BMC Health Serv Res 2021; 21:69. [PMID: 33461561 PMCID: PMC7812734 DOI: 10.1186/s12913-020-06045-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 12/25/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is excess amenable mortality risk and evidence of healthcare quality deficits for persons with serious mental illness (SMI). We sought to identify sociodemographic and clinical characteristics associated with variations in two 2015 Healthcare Effectiveness Data and Information Set (HEDIS) measures, antipsychotic medication adherence and preventive diabetes screening, among Medicaid enrollees with serious mental illness (SMI). METHODS We retrospectively analyzed claims data from September 2014 to December 2015 from enrollees in a Medicaid specialty health plan in Florida. All plan enrollees had SMI; analyses included continuously enrolled adults with antipsychotic medication prescriptions and schizophrenia or bipolar disorder. Associations were identified using mixed effects logistic regression models. RESULTS Data for 5502 enrollees were analyzed. Substance use disorders, depression, and having both schizophrenia and bipolar disorder diagnoses were associated with both HEDIS measures but the direction of the associations differed; each was significantly associated with antipsychotic medication non-adherence (a marker of suboptimal care quality) but an increased likelihood of diabetes screening (a marker of quality care). Compared to whites, blacks and Hispanics had a significantly greater risk of medication non-adherence. Increasing age was significantly associated with increasing medication adherence, but the association between age and diabetes screening varied by sex. Other characteristics significantly associated with quality variations according to one or both measures were education (associated with antipsychotic medication adherence), urbanization (relative to urban locales, residing in suburban areas was associated with both adherence and diabetes screening), obesity (associated with both adherence and diabetes screening), language (non-English speakers had a greater likelihood of diabetes screening), and anxiety, asthma, and hypertension (each positively associated with diabetes screening). CONCLUSIONS The characteristics associated with variations in the quality of care provided to Medicaid enrollees with SMI as gauged by two HEDIS measures often differed, and at times associations were directionally opposite. The variations in the quality of healthcare received by persons with SMI that were identified in this study can guide quality improvement and delivery system reform efforts; however, given the sociodemographic and clinical characteristics' differing associations with different measures of care quality, multidimensional approaches are warranted.
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Affiliation(s)
- Erica L Stockbridge
- Department of Advanced Health Analytics and Solutions, Magellan Health, Inc, 4800 N Scottsdale Rd #4400, Scottsdale, AZ, 85251, USA.
| | - Nathaniel J Webb
- Department of Health Behavior & Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA
| | - Eleena Dhakal
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA
| | - Manasa Garg
- Department of Health Behavior & Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA
- Loopback Analytics, 14900 Landmark Blvd # 240, Dallas, TX, 75254, USA
| | - Abiah D Loethen
- Department of Advanced Health Analytics and Solutions, Magellan Health, Inc, 4800 N Scottsdale Rd #4400, Scottsdale, AZ, 85251, USA
| | - Thaddeus L Miller
- Department of Health Behavior & Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA
| | - Karabi Nandy
- Department of Population and Data Sciences, UT Southwestern Medical Center, Room E1.401A, South Campus, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
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