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Grover T, Bennett IM, Campbell M, Vredevoogd M, Saldana L. Implementation cost analysis of collaborative care for perinatal mental health in community health centers. RESEARCH SQUARE 2024:rs.3.rs-5256122. [PMID: 39649162 PMCID: PMC11623753 DOI: 10.21203/rs.3.rs-5256122/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
Abstract
Background Although costs are of key importance to clinic leadership when considering adoption of new programs, few studies examine real-world resource needs associated with implementing complex interventions for chronic conditions in primary care. This analysis sought to identify the costs necessary to implement the evidence-based collaborative care model (CoCM), an integrated behavioral health program for common mental disorders in primary care. Methods Ten federally qualified health centers (FQHCs) adopted CoCM as part of a larger national randomized trial evaluating implementation strategies for CoCM when adapted for perinatal mental health. The Cost of Implementing New Strategies (COINS) tool was used to assess implementation costs associated with activities completed by sites as they progressed through the implementation process. National wage norms were used to calculate cost estimates for staff time. Results On average, clinics spent $40,778 (SD=$30,611) on implementation, with clinics ranging widely from $4,502 to $103,156. Three out of 10 participating clinics achieved competency in the intervention during the 2-year implementation period. Costs among competent clinics ranged from $20,944 to $65,415 (mean=$41,788). Clinics that did not achieve competency were more varied, with both the lowest and highest resource use. Significant staff effort was required to complete all implementation stages; clinical staff and program champions showed greatest effort. Conclusions Site implementation costs for this complex behavioral health intervention were substantial and varied dramatically, particularly among sites who did not achieve competence. Additional work is needed to identify optimal site resource investment related to implementation success for CoCM. Trial registration ClinicalTrials.gov.NCT02976025. Registered on November 23, 2016.
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Affiliation(s)
- Tess Grover
- University of Washington Seattle Campus: University of Washington
| | - Ian M Bennett
- University of Washington Seattle Campus: University of Washington
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2
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Kulzer B. [Cognition and depression in older people with diabetes]. DER NERVENARZT 2024; 95:46-52. [PMID: 38189938 DOI: 10.1007/s00115-023-01599-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/06/2023] [Indexed: 01/09/2024]
Abstract
Cognitive dysfunction, dementia and depression are typical comorbidities of diabetes and are more common in older people with diabetes than in the general population. Both comorbid diseases have a substantial impact on the therapy of diabetes and lead to a reduction of the functional level in everyday life, the quality of life and are associated with increased mortality. This article summarizes the most important results on the etiology of cognitive dysfunction and depression and their consequences for clinical practice.
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Affiliation(s)
- Bernhard Kulzer
- Forschungsinstitut der Diabetes-Akademie Bad Mergentheim, (FIDAM), 97980, Bad Mergentheim, Johann-Hammer-Str. 24, Deutschland.
- Diabetes Zentrum Mergentheim, (DZM), Theodor Klotzbücher Str. 12, 97980, Bad Mergentheim, Deutschland.
- Otto-Friedrich-Universität Bamberg, Lehrstuhl für klinische Psychologie, Kapuzinerstraße 16, 96047, Bamberg, Deutschland.
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Baishnab S, Jaura RS, Sharma S, Garg H, Singh TG. Pharmacoeconomic Aspects of Diabetes Mellitus: Outcomes and Analysis of Health Benefits Approach. Curr Diabetes Rev 2024; 20:12-22. [PMID: 37842896 DOI: 10.2174/0115733998246567230924134603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/18/2023] [Accepted: 08/25/2023] [Indexed: 10/17/2023]
Abstract
Pharmacoeconomics is an important tool for investigating and restructuring healthcare policies. In India, recent statistical studies have shown that the number of diabetic patients is rapidly increasing in the rural, middle and upper-class settings. The aim of this review is to call attention towards the need to carry out pharmacoeconomic studies for diabetes mellitus and highlight the outcome of these studies on healthcare. A well-structured literature search from PubMed, Embase, Springer, ScienceDirect, and Cochrane was done. Studies that evaluated the cost-effectiveness of various anti-diabetic agents for type 2 diabetes were eligible for inclusion in the analysis and review. Two independent reviewers sequentially assessed the titles, abstracts, and full articles to select studies that met the predetermined inclusion and exclusion criteria for data abstraction. Any discrepancies between the reviewers were resolved through consensus. By employing search terms such as pharmacoeconomics, diabetes mellitus, cost-effective analysis, cost minimization analysis, cost-utility analysis, and cost-benefit analysis, a total of 194 papers were gathered. Out of these, 110 papers were selected as they aligned with the defined search criteria and underwent the removal of duplicate entries. This review outlined four basic pharmacoeconomic studies carried out on diabetes mellitus. It gave a direction that early detection, patient counseling, personalized medication, appropriate screening intervals, and early start of pharmacotherapy proved to be a cost-effective as well as health benefits approach.
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Affiliation(s)
- Suman Baishnab
- Department of Pharmacy Practice, Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Ravinder Singh Jaura
- Department of Pharmacy Practice, Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Saksham Sharma
- Department of Pharmacy Practice, Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Honey Garg
- Department of Pharmacy Practice, Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Thakur Gurjeet Singh
- Department of Pharmacy Practice, Chitkara College of Pharmacy, Chitkara University, Punjab, India
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Holloway EE, Gray S, Mihalopoulos C, Versace VL, Le Gautier R, Chatterton ML, Hagger V, Halliday J, Henshaw K, Harrap B, Manallack S, Black T, Van Bruggen N, Hines C, O'Neil A, Skinner TC, Speight J, Hendrieckx C. Low-Intensity mental health Support via a Telehealth Enabled Network for adults with diabetes (LISTEN): protocol for a hybrid type 1 effectiveness implementation trial. Trials 2023; 24:350. [PMID: 37221629 PMCID: PMC10204211 DOI: 10.1186/s13063-023-07338-5] [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: 03/06/2023] [Accepted: 04/29/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Mental health problems are common among people with diabetes. However, evidence-based strategies for the prevention and early intervention of emotional problems in people with diabetes are lacking. Our aim is to assess the real-world effectiveness, cost-effectiveness, and implementation of a Low-Intensity mental health Support via a Telehealth Enabled Network (LISTEN), facilitated by diabetes health professionals (HPs). METHODS A hybrid type I effectiveness-implementation trial, including a two-arm parallel randomised controlled trial, alongside mixed methods process evaluation. Recruited primarily via the National Diabetes Services Scheme, Australian adults with diabetes (N = 454) will be eligible if they are experiencing elevated diabetes distress. Participants are randomised (1:1 ratio) to LISTEN-a brief, low-intensity mental health support program based on a problem-solving therapy framework and delivered via telehealth (intervention) or usual care (web-based resources about diabetes and emotional health). Data are collected via online assessments at baseline (T0), 8 weeks (T1) and 6 months (T2, primary endpoint) follow-up. The primary outcome is between-group differences in diabetes distress at T2. Secondary outcomes include the immediate (T1) and longer-term (T2) effect of the intervention on psychological distress, general emotional well-being, and coping self-efficacy. A within-trial economic evaluation will be conducted. Implementation outcomes will be assessed using mixed methods, according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Data collection will include qualitative interviews and field notes. DISCUSSION It is anticipated that LISTEN will reduce diabetes distress among adults with diabetes. The pragmatic trial results will determine whether LISTEN is effective, cost-effective, and should be implemented at scale. Qualitative findings will be used to refine the intervention and implementation strategies as required. TRIAL REGISTRATION This trial has been registered with the Australian New Zealand Clinical Trials Registry (ACTRN: ACTRN12622000168752) on 1 February, 2022.
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Affiliation(s)
- Edith E Holloway
- School of Psychology, Deakin University, Geelong, VIC, Australia.
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia.
- Institute for Health Transformation, Deakin University, Geelong, Australia.
| | - Shikha Gray
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Vincent L Versace
- School of Medicine, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia
| | - Roslyn Le Gautier
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | - Mary Lou Chatterton
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Virginia Hagger
- Institute for Health Transformation, Deakin University, Geelong, Australia
- School of Nursing & Midwifery, Deakin University, Burwood, VIC, Australia
| | - Jennifer Halliday
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, Australia
| | | | - Benjamin Harrap
- School of Medicine, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia
| | - Sarah Manallack
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | | | | | | | - Adrienne O'Neil
- IMPACT Institute, Deakin University, Geelong, VIC, Australia
| | - Timothy C Skinner
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- Department of Psychology, La Trobe University, Victoria, Australia
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Jane Speight
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, Australia
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Banstola A, Pokhrel S, Hayhoe B, Nicholls D, Harris M, Anokye N. Economic evaluations of interventional opportunities for the management of mental-physical multimorbidity: a systematic review. BMJ Open 2023; 13:e069270. [PMID: 36854591 PMCID: PMC9980364 DOI: 10.1136/bmjopen-2022-069270] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/20/2023] [Indexed: 03/02/2023] Open
Abstract
OBJECTIVES Economic evaluations of interventions for people with mental-physical multimorbidity, including a depressive disorder, are sparse. This study examines whether such interventions in adults are cost-effective. DESIGN A systematic review. DATA SOURCES MEDLINE, CINAHL Plus, PsycINFO, Cochrane CENTRAL, Scopus, Web of Science and NHS EED databases were searched until 5 March 2022. ELIGIBILITY CRITERIA We included studies involving people aged ≥18 with two or more chronic conditions (one being a depressive disorder). Economic evaluation studies that compared costs and outcomes of interventions were included, and those that assessed only costs or effects were excluded. DATA EXTRACTION AND SYNTHESIS Two authors independently assessed risk of bias in included studies using recommended checklists. A narrative analysis of the characteristics and results by type of intervention and levels of healthcare provision was conducted. RESULTS A total of 19 studies, all undertaken in high-income countries, met inclusion criteria. Four intervention types were reported: collaborative care, self-management, telephone-based and antidepressant treatment. Most (14 of 19) interventions were implemented at the organisational level and were potentially cost-effective, particularly, the collaborative care for people with depressive disorder and diabetes, comorbid major depression and cancer and depression and multiple long-term conditions. Cost-effectiveness ranged from £206 per quality-adjusted life year (QALY) for collaborative care programmes for older adults with diabetes and depression at primary care clinics (USA) to £79 723 per QALY for combining collaborative care with improved opportunistic screening for adults with depressive disorder and diabetes (England). Conclusions on cost-effectiveness were constrained by methodological aspects of the included studies: choice of perspectives, time horizon and costing methods. CONCLUSIONS Economic evaluations of interventions to manage multimorbidity with a depressive disorder are non-existent in low-income and middle-income countries. The design and reporting of future economic evaluations must improve to provide robust conclusions. PROSPERO REGISTRATION NUMBER CRD42022302036.
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Affiliation(s)
- Amrit Banstola
- Department of Health Sciences, Brunel University London, Uxbridge, UK
| | - Subhash Pokhrel
- Department of Health Sciences, Brunel University London, Uxbridge, UK
| | - Benedict Hayhoe
- Department of Primary Care and Public Health, Imperial College London School of Public Health, London, UK
| | - Dasha Nicholls
- Department of Brain Sciences, Imperial College London Faculty of Medicine, London, UK
| | - Matthew Harris
- Department of Primary Care and Public Health, Imperial College London School of Public Health, London, UK
| | - Nana Anokye
- Department of Health Sciences, Brunel University London, Uxbridge, UK
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6
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Bellon J, Quinlan C, Taylor B, Nemecek D, Borden E, Needs P. Association of Outpatient Behavioral Health Treatment With Medical and Pharmacy Costs in the First 27 Months Following a New Behavioral Health Diagnosis in the US. JAMA Netw Open 2022; 5:e2244644. [PMID: 36472875 PMCID: PMC9856223 DOI: 10.1001/jamanetworkopen.2022.44644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
IMPORTANCE Outpatient behavioral health treatment (OPBHT) is an effective treatment for behavioral health conditions (BHCs) that may also be associated with improved medical health outcomes, but evidence regarding the cost-effectiveness of OPBHT across a large population has not been established. OBJECTIVE To investigate whether individuals newly diagnosed with a BHC who used OPBHT incurred lower medical and pharmacy costs over 15 and 27 months of follow-up compared with those not using OPBHT. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of commercially insured individuals in the US was conducted using administrative insurance claims data for individuals newly diagnosed with 1 or more BHCs between January 1, 2017, and December 31, 2018. Data were examined using a 12-month period before BHC diagnosis and 15- and 27-month follow-up periods. Participants included individuals aged 1 to 64 years who received any OPBHT with or without behavioral medication or who did not receive OPBHT or behavioral medication in the 15 months following diagnosis. Data were analyzed from May to October 2021. EXPOSURES Receipt of OPBHT both as a dichotomous variable and categorized by number of OPBHT visits. MAIN OUTCOMES AND MEASURES The main outcome was the association between OPBHT treatment and 15- and 27-month medical and pharmacy costs, assessed using a generalized linear regression model with γ distribution, controlling for potential confounders. RESULTS The study population included 203 401 individuals, of whom most were male (52%), White, non-Hispanic (75%), and 18 to 64 years of age (67%); 22% had at least 1 chronic medical condition in addition to a BHC. Having 1 or more OPBHT visits was associated with lower adjusted mean per-member, per-month medical and pharmacy costs across follow-up over 15 months (no OPBHT: $686 [95% CI, $619-$760]; ≥1 OPBHT: $571 [95% CI, $515-$632]; P < .001) and 27 months (no OPBHT: $464 [95% CI, $393-$549]; ≥1 OPBHT: $391 [95% CI, $331-$462]; P < .001). Furthermore, almost all doses of OPBHT across the 15 months following diagnosis were associated with lower costs compared with no OPBHT. CONCLUSIONS AND RELEVANCE In this cohort study, medical cost savings were associated with OPBHT among patients newly diagnosed with a BHC in a large, commercially insured population. The findings suggest that promoting and optimizing OPBHT may be associated with reduced overall medical spending among patients with BHCs.
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Affiliation(s)
| | | | | | | | - Eva Borden
- Evernorth Health, Inc, St Louis, Missouri
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7
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Chen S, Conwell Y, Xue J, Li L, Zhao T, Tang W, Bogner H, Dong H. Effectiveness of integrated care for older adults with depression and hypertension in rural China: A cluster randomized controlled trial. PLoS Med 2022; 19:e1004019. [PMID: 36279299 PMCID: PMC9639850 DOI: 10.1371/journal.pmed.1004019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 11/07/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Effectiveness of integrated care management for common, comorbid physical and mental disorders has been insufficiently examined in low- and middle-income countries (LMICs). We tested hypotheses that older adults treated in rural Chinese primary care clinics with integrated care management of comorbid depression and hypertension (HTN) would show greater improvements in depression symptom severity and HTN control than those who received usual care. METHODS AND FINDINGS The study, registered with ClinicalTrials.gov as Identifier NCT01938963, was a cluster randomized controlled trial with 12-month follow-up conducted from January 1, 2014 through September 30, 2018, with analyses conducted in 2020 to 2021. Participants were residents of 218 rural villages located in 10 randomly selected townships of Zhejiang Province, China. Each village hosts 1 primary care clinic that serves all residents. Ten townships, each containing approximately 20 villages, were randomly selected to deliver either the Chinese Older Adult Collaborations in Health (COACH) intervention or enhanced care-as-usual (eCAU) to eligible village clinic patients. The COACH intervention consisted of algorithm-driven treatment of depression and HTN by village primary care doctors supported by village lay workers with telephone consultation from centrally located psychiatrists. Participants included clinic patients aged ≥60 years with a diagnosis of HTN and clinically significant depressive symptoms (Patient Health Questionnaire-9 [PHQ-9] score ≥10). Of 2,899 eligible village residents, 2,365 (82%) agreed to participate. They had a mean age of 74.5 years, 67% were women, 55% had no schooling, 59% were married, and 20% lived alone. Observers, older adult participants, and their primary care providers (PCPs) were blinded to study hypotheses but not to group assignment. Primary outcomes were change in depression symptom severity as measured by the Hamilton Depression Rating Scale (HDRS) total score and the proportion with controlled HTN, defined as systolic blood pressure (BP) <130 mm Hg or diastolic BP <80 for participants with diabetes mellitus, coronary heart disease, or renal disease, and systolic BP <140 or diastolic BP <90 for all others. Analyses were conducted using generalized linear mixed effect models with intention to treat. Sixty-seven of 1,133 participants assigned to eCAU and 85 of 1,232 COACH participants were lost to follow-up over 12 months. Thirty-six participants died of natural causes, 22 in the COACH arm and 14 receiving eCAU. Forty COACH participants discontinued antidepressant medication due to side effects. Compared with participants who received eCAU, COACH participants showed greater reduction in depressive symptoms (Cohen's d [±SD] = -1.43 [-1.71, -1.15]; p < 0.001) and greater likelihood of achieving HTN control (odds ratio [OR] [95% CI] = 18.24 [8.40, 39.63]; p < 0.001). Limitations of the study include the inability to mask research assessors and participants to which condition a village was assigned, and lack of information about participants' adherence to recommendations for lifestyle and medication management of HTN and depression. Generalizability of the model to other regions of China or other LMICs may be limited. CONCLUSIONS The COACH model of integrated care management resulted in greater improvement in both depression symptom severity and HTN control among older adult residents of rural Chinese villages who had both conditions than did eCAU. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT01938963 https://clinicaltrials.gov/ct2/show/NCT01938963.
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Affiliation(s)
- Shulin Chen
- Department of Psychology, Zhejiang University, Hangzhou, China
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester, Rochester, New York, United States of America
- * E-mail:
| | - Jiang Xue
- Department of Psychology, Zhejiang University, Hangzhou, China
| | - Lydia Li
- School of Social Work, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Tingjie Zhao
- Department of Biostatistics and Data Science, Tulane University, New Orleans, Louisiana, United States of America
| | - Wan Tang
- Department of Biostatistics and Data Science, Tulane University, New Orleans, Louisiana, United States of America
| | - Hillary Bogner
- Department of Family Medicine, University of Pennsylvania, Philadelphia, Philadelphia, United States of America
| | - Hengjin Dong
- Center for Health Policy Studies, School of Public Health, Zhejiang University, Hangzhou, China
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Nicklas L, Albiston M, Dunbar M, Gillies A, Hislop J, Moffat H, Thomson J. A systematic review of economic analyses of psychological interventions and therapies in health-related settings. BMC Health Serv Res 2022; 22:1131. [PMID: 36071425 PMCID: PMC9450839 DOI: 10.1186/s12913-022-08158-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 05/31/2022] [Indexed: 11/16/2022] Open
Abstract
Background This review aims to synthesise evidence on the economic impact of psychological interventions and therapies when applied to a broad range of physical health conditions. Methods The following bibliographic databases were searched for relevant articles: MEDLINE (Ovid), EMBASE (Ovid) and PsycINFO (Ebsco). As this review was intended to update an earlier review, the date range for the search was restricted to between January 2012 and September 2018. Reference lists from the review articles were also searched for relevant articles. Study quality was evaluated using the Scottish Intercollegiate Network Guidelines (SIGN) appraisal checklists for both economic studies and Randomised Controlled Trials (RCTs). When the economic analyses did not provide sufficient detail for quality evaluation, the original RCT papers were sought and these were also evaluated. Half of the papers were quality rated by a second author. Initial agreement was high and all disagreements were resolved by discussion. Results This yielded 1408 unique articles, reduced to 134 following screening of the title and abstract. The full texts of the remaining articles were reviewed by at least one team member and all exclusions were discussed and agreed by the team. This left 46 original research articles, alongside five systematic reviews. Fifty-seven per cent of the articles were deemed to be of high quality, with the remainder of acceptable quality. Fifteen different medical conditions were covered, with chronic pain (10 articles) and cancer (9 articles) being the two most investigated health conditions. Three quarters of the papers reviewed showed evidence for the cost-effectiveness of psychological interventions in physical health, with the clearest evidence being in the field of chronic pain and cancer. Conclusions This paper provides a comprehensive integration of the research on the cost-effectiveness of psychological therapies in physical health. Whilst the evidence for cost-effectiveness in chronic pain and cancer is encouraging, some health conditions require further study. Clearly, as the primary research is international, and was therefore conducted across varying health care systems, caution must be exercised when applying the results to counties outside of those covered. Despite this, the results are of potential relevance to service providers and funders. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08158-0.
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Affiliation(s)
- Leeanne Nicklas
- NHS Education for Scotland, 2 Central Quay, Glasgow, Scotland, UK.
| | - Mairi Albiston
- NHS Education for Scotland, 2 Central Quay, Glasgow, Scotland, UK
| | - Martin Dunbar
- Stobhill Hospital, NHS Greater Glasgow and Clyde, Glasgow, Scotland, UK
| | - Alan Gillies
- NHS Education for Scotland, 2 Central Quay, Glasgow, Scotland, UK
| | | | - Helen Moffat
- NHS Grampian, Aberdeen Royal Infirmary, Aberdeen, Scotland, UK
| | - Judy Thomson
- NHS Education for Scotland, 2 Central Quay, Glasgow, Scotland, UK
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9
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Castañeda SF, Gallo LC, Garcia ML, Mendoza PM, Gutierrez AP, Lopez-Gurrola M, Roesch S, Pichardo MS, Muñoz F, Talavera GA. Effectiveness of an integrated primary care intervention in improving psychosocial outcomes among Latino adults with diabetes: the LUNA-D study. Transl Behav Med 2022; 12:825-833. [PMID: 35776001 PMCID: PMC9385125 DOI: 10.1093/tbm/ibac042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVE To compare the effectiveness of usual care (UC) versus a culturally tailored integrated care model in improving mental health symptoms for Latino patients with Type 2 diabetes mellitus (T2DM). METHODS We conducted a two-arm randomized controlled trial from 2015 to 2019 at a federally qualified health center. Participants were 456 adults ages 23-80 years who had a previous diagnosis of T2DM and were not currently using insulin. Participants were randomly assigned to Integrated Care Intervention (ICI; including behavioral/mental healthcare, medical visits, health education and care coordination) or UC; standard of care including referrals for health education and behavioral/mental health care where appropriate. Intention-to-treat, multilevel models were used to compare group × time changes in depression and anxiety symptoms (PHQ-8; GAD-7) and perceived stress (PSS-10) across 6 months. RESULTS Participant mean age was 55.7 years, 36.3% were male, and 63.7% were primarily Spanish speaking. Baseline sociodemographic factors and mental health symptoms across study arms were balanced. Significant group × time interaction effects were observed for anxiety and depression symptoms (p < .05). Within the ICI and UC groups, mean depression symptom changes were -0.93 and -0.39 (p < .01); anxiety symptom changes were -0.97 (p < .01) and -0.11 (p = .35); and perceived stress changes were -1.56 and -1.27 (p < .01), respectively. CONCLUSIONS Although both ICI and UC showed decreases over time, the ICI group evidenced larger, statistically significant changes in both depression and anxiety. Adapted integrated models of behavioral and chronic disease management appear to be effective and could be considered for usual care practices. CLINICALTRIALS.GOV IDENTIFIER NCT03983499.
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Affiliation(s)
- Sheila F Castañeda
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Linda C Gallo
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Melawhy L Garcia
- Center for Latino Community Health, Evaluation, and Leadership Training, Department of Health Science, California State University Long Beach, Long Beach, CA, USA
| | - Paulina M Mendoza
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | | | - Maria Lopez-Gurrola
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Scott Roesch
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Margaret S Pichardo
- College of Medicine, Howard University, Washington, D. C., USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Fatima Muñoz
- Department of Research, San Ysidro Health, San Diego, CA, USA
| | - Gregory A Talavera
- South Bay Latino Research Center, Chula Vista, CA, USA
- Department of Psychology, San Diego State University, San Diego, CA, USA
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10
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Xue J, Jiao Y, Wang J, Chen S. The Incidence and Burden of Risk Factors for Mild Cognitive Impairment in Older Rural Chinese Persons. Gerontol Geriatr Med 2022; 8:23337214221114559. [PMID: 35923763 PMCID: PMC9340889 DOI: 10.1177/23337214221114559] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/23/2022] [Accepted: 07/02/2022] [Indexed: 11/26/2022] Open
Abstract
Objective: The study investigated the prevalence of mild cognitive impairment (MCI), a common cognitive disorder in late life, among rural older residents in China. The associated risk factors were also analyzed. Methods: Two thousand one hundred forty-six older adults aged 60 or more in a rural town of Zhejiang Province, China, were recruited and analyzed. Demographic characteristics were collected by a self-designed questionnaire. Diagnosis of MCI was made by well-trained primary care physicians according to the Petersen criteria. Results: 23.16% of the analyzed sample were diagnosed with MCI, while the prevalence was significantly higher in women, those never married, not employed, and with older age, lower education, diabetes, coronary heart disease and stroke. Stepwise logistic regression indicated that age, education, diabetes, coronary heart disease, and stroke were significant predictive factors of MCI. Conclusion: The prevalence of MCI in rural older residents in China is high, and those with specific demographic characteristics like women, never married, not employed, and with older age, lower education and chronic physical conditions should be more concerned in primary care management. Integrated care approaches managing MCI and comorbid chronic conditions are recommended in future management practices.
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Hartmann M, Datta S, Browne EN, Appiah P, Banay R, Caetano V, Floreak R, Spring H, Sreevasthsa A, Thomas S, Selvam S, Srinivasan K. A Combined Behavioral Economics and Cognitive Behavioral Therapy Intervention to Reduce Alcohol Use and Intimate Partner Violence Among Couples in Bengaluru, India: Results of a Pilot Study. JOURNAL OF INTERPERSONAL VIOLENCE 2021; 36:NP12456-NP12480. [PMID: 31959030 DOI: 10.1177/0886260519898431] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Hazardous drinking is an important contributing factor to intimate partner violence (IPV) occurrence. However, only a limited number of community-based alcohol reduction interventions have been tested in low- and middle-income countries (LMICs) for their efficacy in reducing IPV. This pilot intervention study tested a 1-month combined behavioral economics and cognitive behavioral therapy intervention to reduce hazardous alcohol use and IPV in Bengaluru, India. Sixty couples were randomized to one of three study arms to test the effect of incentives-only and incentives plus counseling interventions compared with a control condition. Alcohol use among male participants was assessed using breathalyzer tests. Violence experienced by female participants was measured using the Indian Family Violence and Control Scale. Couples in the counseling arm participated in four weekly counseling sessions. Male participants in the incentive arms earned a reward for sobriety (breath alcohol concentration [BrAC] <0.01 g/dl). Results showed that while incentives reduced alcohol use, there was a greater proportion of negative BrAC samples among participants in the counseling arm compared with the control group (0.96 vs. 0.76, p = .03). Violence also decreased in both intervention arms. The estimated mean violence score for the counseling arm was 10.8 points lower than the control arm at 4-month follow-up visit (p = .02). This study contributes important evidence to the field of alcohol reduction and IPV prevention approaches in LMIC settings and adds to the growing evidence that alcohol reduction is a modifiable means of addressing IPV.
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Wan J, Chua EYC, Soon WSW, Xie Y, Tang WE. The impact of a mental health service on chronic disease management in primary care. Singapore Med J 2021; 62:235-239. [PMID: 34409481 DOI: 10.11622/smedj.2021063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Jinhui Wan
- Medical Department, National Healthcare Group Polyclinics, Singapore
| | | | | | - Ying Xie
- Information Management & Analytics, National Healthcare Group Polyclinics, Singapore
| | - Wern Ee Tang
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
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Lauderdale SA, Martin KJ, Oakes KR, Moore JM, Balotti RJ. Pragmatic Screening of Anxiety, Depression, Suicidal Ideation, and Substance Misuse in Older Adults. COGNITIVE AND BEHAVIORAL PRACTICE 2021. [DOI: 10.1016/j.cbpra.2021.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Bui LN, Yoon J, Hynes DM. A Reduction in Health Care Expenditures Linked to Mental Health Service Use Among Adults With Chronic Physical Conditions. Psychiatr Serv 2021; 72:766-775. [PMID: 33940945 PMCID: PMC11164411 DOI: 10.1176/appi.ps.202000161] [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] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The aim was to examine the impact of receipt of mental health services on health care expenditures for U.S. adults with major chronic physical conditions. METHODS Medical Expenditure Panel Survey data for 2004-2014 were analyzed for adults ages ≥18 with at least one of six chronic physical conditions (cardiovascular diseases, cancer, diabetes, emphysema, asthma, and arthritis) who were followed up for 2 years (N=33,419). Outcomes included overall health care spending and expenditure by service type (inpatient services, outpatient services, emergency department visits, office-based physician visits, and prescribed medication). A difference-in-differences model compared a change in health care costs in the subsequent year for those who did and did not receive mental health services in the preceding year. RESULTS On average, the increase in overall health care expenditure in the subsequent year among adults receiving mental health services in the preceding year was smaller by 12.6 percentage points (p<0.05) than for those who did not receive such services. The difference was equivalent to $1,146 in 2014 constant U.S. dollars (p=0.05). Medication treatment alone did not have a meaningful effect on overall costs. The combination of psychotherapy and medication was associated with a per-capita reduction in overall health care expenditure of 21.7 percentage points, or $2,690 (p<0.01). The combination was also associated with reduced costs for office-based visits (p<0.05) and medication (p<0.05). CONCLUSIONS Receipt of mental health services was associated with a reduction in overall health care costs, particularly for office-based visits and prescribed medication, among adults with chronic physical conditions.
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Affiliation(s)
- Linh N Bui
- Center for Healthcare Organizational and Innovation Research, University of California, Berkeley, and Sutter Health Center for Health Systems Research, Berkeley (Bui); Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland (Yoon); Health Management and Policy, College of Public Health and Human Sciences, and Health Data and Informatics, Center for Genome Research and Biocomputing, Oregon State University, Corvallis, and Center to Improve Veteran Involvement in Care, U.S. Department of Veterans Affairs Portland Healthcare System, Portland (Hynes)
| | - Jangho Yoon
- Center for Healthcare Organizational and Innovation Research, University of California, Berkeley, and Sutter Health Center for Health Systems Research, Berkeley (Bui); Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland (Yoon); Health Management and Policy, College of Public Health and Human Sciences, and Health Data and Informatics, Center for Genome Research and Biocomputing, Oregon State University, Corvallis, and Center to Improve Veteran Involvement in Care, U.S. Department of Veterans Affairs Portland Healthcare System, Portland (Hynes)
| | - Denise M Hynes
- Center for Healthcare Organizational and Innovation Research, University of California, Berkeley, and Sutter Health Center for Health Systems Research, Berkeley (Bui); Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland (Yoon); Health Management and Policy, College of Public Health and Human Sciences, and Health Data and Informatics, Center for Genome Research and Biocomputing, Oregon State University, Corvallis, and Center to Improve Veteran Involvement in Care, U.S. Department of Veterans Affairs Portland Healthcare System, Portland (Hynes)
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Affiliation(s)
- Jon Hunter
- Department of Psychiatry, University of Toronto, and Sinai Health System, Toronto. Dr. Hunter is guest editor of the American Journal of Psychotherapy's special issue on consultation-liaison psychotherapy
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Assessing the Integration of Behavioral Health Services in Primary Care in Colombia. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2021; 47:435-442. [PMID: 31832852 DOI: 10.1007/s10488-019-01002-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Integration of behavioral health care into primary care can improve health and economic outcomes. This study adapted the Behavioral Health Integration in Medical Care (BHIMC) index to the Colombian context and assessed the baseline level of behavioral health integration in a sample of primary care organizations. The BHIMC was able to detect the capacity to provide integrated behavioral care in Colombian settings. Results indicate a minimal to partial integration level across all sites, and that it is possible to measure the degree of integrated care capacity and identify improvement areas for better behavioral health care provision.
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Ross A, Greenberg P. Components of the Next Generation of Integrated Care. NAM Perspect 2020; 2020:202011e. [PMID: 35291749 DOI: 10.31478/202011e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Alexander Ross
- U.S. Department of Health and Human Services, Health Resources and Services Administration (former)
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Abstract
With up to 70% of primary care visits prompted by psychosocial concerns, busy primary care clinics are increasingly addressing complex behavioral health (BH) needs. Substantial evidence demonstrates that the integration of BH into primary care improves access and outcomes, yet clinics face significant challenges in real-world implementation. This collaborative care integration project used psychiatric mental health nurse practitioner faculty as integration and BH specialists at an urban primary care clinic serving a diverse and largely indigent population. The project weathered leadership changes, information system shortcomings, and a shift to telehealth during coronavirus disease 2019. The initial outcomes include increased levels of integration and improved depression and diabetes metrics.
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Zhao X, Bhattacharjee S, Innes KK, LeMasters TJ, Dwibedi N, Sambamoorthi U. The impact of telemental health use on healthcare costs among commercially insured adults with mental health conditions. Curr Med Res Opin 2020; 36:1541-1548. [PMID: 32609549 PMCID: PMC7535072 DOI: 10.1080/03007995.2020.1790345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To determine the impact of telemental health (TMH) use on total healthcare costs and mental health (MH)-related costs paid by a third party among adults with mental health conditions (MHC). METHOD This study employed a pre-post design with a non-equivalent control group. The cohort comprised adults with MHCs identified using diagnosis codes from de-identified claims data of the Optum Clinformatics DataMart (2010 January 01 to 2017 June 30). We identified mental health (MH) service users and TMH users (N = 348) based on procedure codes. Non-users (N = 238,595) were defined as those who only used in-person MH services. A Difference-in-Differences (DID) analysis was performed within a multivariable two-part model (TPM) framework to examine the impact of TMH use on adjusted standardized costs (2018 US $) of all healthcare services and MH services. Patient-level and state-level factors were adjusted in TPM. RESULTS TMH use was associated with significantly higher MH-related costs [Marginal effect = $461.3, 95% confidence interval: $142.4-$780.2] and an excess of $370 increase in MH-related costs at follow-up as compared to baseline. However, TMH use was not associated with an increase in total third-party healthcare costs nor with changes in total costs from baseline to follow-up. CONCLUSIONS Despite having a higher likelihood of MH services use and MH-related costs, TMH users did not have higher total costs as compared to adults using only in-person MH services. Our findings suggest that TMH can increase access to MH care without increasing total healthcare costs among adults with MHC. Future studies exploring whether TMH use can lead to cost-savings over a longer period are warranted.
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Affiliation(s)
- Xiaohui Zhao
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA
| | - Sandipan Bhattacharjee
- Department of Pharmacy Practice & Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA
| | - Kim K. Innes
- Department of Epidemiology, School of Public Health, West Virginia University, Morgantown, WV, USA
| | - Traci J. LeMasters
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA
| | - Nilanjana Dwibedi
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA
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Siegel KR, Ali MK, Zhou X, Ng BP, Jawanda S, Proia K, Zhang X, Gregg EW, Albright AL, Zhang P. Cost-effectiveness of Interventions to Manage Diabetes: Has the Evidence Changed Since 2008? Diabetes Care 2020; 43:1557-1592. [PMID: 33534729 DOI: 10.2337/dci20-0017] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 04/03/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To synthesize updated evidence on the cost-effectiveness (CE) of interventions to manage diabetes, its complications, and comorbidities. RESEARCH DESIGN AND METHODS We conducted a systematic literature review of studies from high-income countries evaluating the CE of diabetes management interventions recommended by the American Diabetes Association (ADA) and published in English between June 2008 and July 2017. We also incorporated studies from a previous CE review from the period 1985-2008. We classified the interventions based on their strength of evidence (strong, supportive, or uncertain) and levels of CE: cost-saving (more health benefit at a lower cost), very cost-effective (≤$25,000 per life year gained [LYG] or quality-adjusted life year [QALY]), cost-effective ($25,001-$50,000 per LYG or QALY), marginally cost-effective ($50,001-$100,000 per LYG or QALY), or not cost-effective (>$100,000 per LYG or QALY). Costs were measured in 2017 U.S. dollars. RESULTS Seventy-three new studies met our inclusion criteria. These were combined with 49 studies from the previous review to yield 122 studies over the period 1985-2017. A large majority of the ADA-recommended interventions remain cost-effective. Specifically, we found strong evidence that the following ADA-recommended interventions are cost-saving or very cost-effective: In the cost-saving category are 1) ACE inhibitor (ACEI)/angiotensin receptor blocker (ARB) therapy for intensive hypertension management compared with standard hypertension management, 2) ACEI/ARB therapy to prevent chronic kidney disease and/or end-stage renal disease in people with albuminuria compared with no ACEI/ARB therapy, 3) comprehensive foot care and patient education to prevent and treat foot ulcers among those at moderate/high risk of developing foot ulcers, 4) telemedicine for diabetic retinopathy screening compared with office screening, and 5) bariatric surgery compared with no surgery for individuals with type 2 diabetes (T2D) and obesity (BMI ≥30 kg/m2). In the very cost-effective category are 1) intensive glycemic management (targeting A1C <7%) compared with conventional glycemic management (targeting an A1C level of 8-10%) for individuals with newly diagnosed T2D, 2) multicomponent interventions (involving behavior change/education and pharmacological therapy targeting hyperglycemia, hypertension, dyslipidemia, microalbuminuria, nephropathy/retinopathy, secondary prevention of cardiovascular disease with aspirin) compared with usual care, 3) statin therapy compared with no statin therapy for individuals with T2D and history of cardiovascular disease, 4) diabetes self-management education and support compared with usual care, 5) T2D screening every 3 years starting at age 45 years compared with no screening, 6) integrated, patient-centered care compared with usual care, 7) smoking cessation compared with no smoking cessation, 8) daily aspirin use as primary prevention for cardiovascular complications compared with usual care, 9) self-monitoring of blood glucose three times per day compared with once per day among those using insulin, 10) intensive glycemic management compared with conventional insulin therapy for T2D among adults aged ≥50 years, and 11) collaborative care for depression compared with usual care. CONCLUSIONS Complementing professional treatment recommendations, our systematic review provides an updated understanding of the potential value of interventions to manage diabetes and its complications and can assist clinicians and payers in prioritizing interventions and health care resources.
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Affiliation(s)
- Karen R Siegel
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Mohammed K Ali
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.,Hubert Department of Global Health and Department of Family and Preventive Medicine, Emory University, Atlanta, GA
| | - Xilin Zhou
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Boon Peng Ng
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.,College of Nursing and Disability, Aging and Technology Cluster, University of Central Florida, Orlando, FL
| | - Shawn Jawanda
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Krista Proia
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Xuanping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Edward W Gregg
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Ann L Albright
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
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Akena D, Okello ES, Simoni J, Wagner G. The development and tailoring of a peer support program for patients with diabetes mellitus and depression in a primary health care setting in Central Uganda. BMC Health Serv Res 2020; 20:436. [PMID: 32430046 PMCID: PMC7236139 DOI: 10.1186/s12913-020-05301-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 05/06/2020] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND About 20-40% of patients with diabetes mellitus (DM) suffer from depressive disorders (DD) during the course of their illness. Despite the high burden of DD among patients with DM, it is rarely identified and adequately treated at the majority of primary health care clinics in sub-Saharan Africa (SSA). The use of peer support to deliver components of mental health care have been suggested in resource constrained SSA, even though its acceptability have not been fully examined. METHODS We conducted qualitative interviews (QI) to assess the perceptions of DM patients with an experience of suffering from a DD about the acceptability of delivering peer support to patients with comorbid DM and DD. We then trained them to deliver peer support to DM patients who were newly diagnosed with DD. We identified challenges and potential barriers to a successful implementation of peer support, and generated solutions to these barriers. RESULTS Participants reported that for one to be a peer, they need to be mature in age, consistently attend the clinics/keep appointments, and not to be suffering from any active physical or co-morbid mental or substance abuse disorder. Participants anticipated that the major barrier to the delivery of peer support would be high attrition rates as a result of the difficulty by DM patients in accessing the health care facility due to financial constraints. A potential solution to this barrier was having peer support sessions coinciding with the return date to hospital. Peers reported that the content of the intervention should mainly be about the fact that DM was a chronic medical condition for which there was need to adhere to lifelong treatment. There was consensus that peer support would be acceptable to the patients. CONCLUSION Our study indicates that a peer support program is an acceptable means of delivering adjunct care to support treatment adherence and management, especially in settings where there are severe staff shortages and psycho-education may not be routinely delivered.
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Affiliation(s)
- Dickens Akena
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
| | - Elialilia S. Okello
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
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Kastner M, Hayden L, Wong G, Lai Y, Makarski J, Treister V, Chan J, Lee JH, Ivers NM, Holroyd-Leduc J, Straus SE. Underlying mechanisms of complex interventions addressing the care of older adults with multimorbidity: a realist review. BMJ Open 2019; 9:e025009. [PMID: 30948577 PMCID: PMC6500199 DOI: 10.1136/bmjopen-2018-025009] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To understand how and why effective multi-chronic disease management interventions influence health outcomes in older adults 65 years of age or older. DESIGN A realist review. DATA SOURCES Electronic databases including Medline and Embase (inception to December 2017); and the grey literature. ELIGIBILITY CRITERIA FOR SELECTING STUDIES We considered any studies (ie, experimental quasi-experimental, observational, qualitative and mixed-methods studies) as long as they provided data to explain our programme theories and effectiveness review (published elsewhere) findings. The population of interest was older adults (age ≥65 years) with two or more chronic conditions. ANALYSIS We used the Realist And MEta-narrative Evidence Syntheses: Evolving Standards (RAMESES) quality and publication criteria for our synthesis aimed at refining our programme theories such that they contained multiple context-mechanism-outcome configurations describing the ways different mechanisms fire to generate outcomes. We created a 3-step synthesis process grounded in meta-ethnography to separate units of data from articles, and to derive explanatory statements across them. RESULTS 106 articles contributed to the analysis. We refined our programme theories to explain multimorbidity management in older adults: (1) care coordination interventions with the best potential for impact are team-based strategies, disease management programmes and case management; (2) optimised disease prioritisation involves ensuring that clinician work with patients to identify what symptoms are problematic and why, and to explore options that are acceptable to both clinicians and patients and (3) optimised patient self-management is dependent on patients' capacity for selfcare and to what extent, and establishing what patients need to enable selfcare. CONCLUSIONS To optimise care, both clinical management and patient self-management need to be considered from multiple perspectives (patient, provider and system). To mitigate the complexities of multimorbidity management, patients focus on reducing symptoms and preserving quality of life while providers focus on the condition that most threaten morbidity and mortality. PROSPERO REGISTRATION NUMBER CRD42014014489.
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Affiliation(s)
- Monika Kastner
- Knowledge Translation and Implementation, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Leigh Hayden
- Knowledge Translation and Implementation, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
| | - Geoff Wong
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Yonda Lai
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Julie Makarski
- Knowledge Translation and Implementation, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
| | - Victoria Treister
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Joyce Chan
- Knowledge Translation and Implementation, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
| | - Julianne H Lee
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Noah M Ivers
- Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Family Medicine, Women’s College Hospital, Toronto, Ontario, Canada
| | - Jayna Holroyd-Leduc
- Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sharon E Straus
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
- Medicine, University of Toronto, Toronto, Ontario, Canada
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Arnold EM, Swendeman D, Harris D, Fournier J, Kozina L, Abdalian S, Rotheram MJ. The Stepped Care Intervention to Suppress Viral Load in Youth Living With HIV: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2019; 8:e10791. [PMID: 30810536 PMCID: PMC6414817 DOI: 10.2196/10791] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 10/30/2018] [Accepted: 12/13/2018] [Indexed: 12/16/2022] Open
Abstract
Background Among youth living with HIV (YLH) aged 12-24 years who have health care in the United States, only 30% to 40% are virally suppressed. YLH must achieve viral suppression in order to reduce the probability of infecting others as well as increasing the length and quality of their own life. Objective This randomized controlled trial aimed to evaluate the efficacy of an Enhanced Standard Care condition (n=110) compared to an Enhanced Stepped Care intervention condition (n=110) to increase viral suppression among YLH aged 12-24 years with established infection (not acutely infected). Methods YLH (N=220) who are not virally suppressed will be identified at homeless shelters, health clinics, and gay-identified community-based organizations in Los Angeles, CA, and New Orleans, LA. Informed consent will be obtained from all participants. YLH will be randomly assigned to one of two study conditions: Enhanced Standard Care, which includes standard clinical care plus an automated messaging and monitoring intervention (AMMI), or an Enhanced Stepped Care, which includes three levels of intervention (AMMI, Peer Support via social media plus AMMI, or Coaching plus Peer Support and AMMI). The primary outcome is viral suppression of HIV, and YLH will be assessed at 4-month intervals for 24 months. For the Enhanced Stepped Care intervention group, those who do not achieve viral suppression (via blood draw, viral load<200 copies/mL) at any 4-month assessment will “step up” to the next level of intervention. Secondary outcomes will be retention in care, antiretroviral therapy adherence, alcohol use, substance use, sexual behavior, and mental health symptoms. Results Recruitment for this study began in June 2017 and is ongoing. We estimate data collection to be completed by the end of 2020. Conclusions This is the first known application of an Enhanced Stepped Care intervention model for YLH. By providing the lowest level of intervention needed to achieve viral suppression, this model has the potential to be a cost-effective method of helping YLH achieve viral suppression and improve their quality of life. Trial Registration ClinicalTrials.gov NCT03109431; https://clinicaltrials.gov/ct2/show/NCT03109431 International Registered Report Identifier (IRRID) DERR1-10.2196/10791
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Affiliation(s)
- Elizabeth Mayfield Arnold
- Department of Family and Community Medicine, UT Southwestern Medical Center, Dallas, TX, United States
| | - Dallas Swendeman
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Danielle Harris
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Jasmine Fournier
- Section of Adolescent Medicine, Department of Pediatrics, Tulane University, New Orleans, LA, United States
| | - Leslie Kozina
- Section of Adolescent Medicine, Department of Pediatrics, Tulane University, New Orleans, LA, United States
| | - Susan Abdalian
- Section of Adolescent Medicine, Department of Pediatrics, Tulane University, New Orleans, LA, United States
| | - Mary Jane Rotheram
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
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The Importance of Addressing Depression and Diabetes Distress in Adults with Type 2 Diabetes. J Gen Intern Med 2019; 34:320-324. [PMID: 30350030 PMCID: PMC6374277 DOI: 10.1007/s11606-018-4705-2] [Citation(s) in RCA: 93] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 09/10/2018] [Accepted: 10/09/2018] [Indexed: 12/14/2022]
Abstract
People with type 2 diabetes often experience two common mental health conditions: depression and diabetes distress. Both increase a patient's risk for mortality, poor disease management, diabetes-related complications, and poor quality of life. The American Diabetes Association and the U.S. Preventive Services Task Force recommend routine evaluations for these conditions in adults for optimal disease management and prevention of life-threatening complications. However, barriers exist within primary care and specialty settings that make screening for depression and diabetes distress challenging. Depression and diabetes distress influence diabetes self-care and diabetes control and barriers in clinical care practice that can hinder detection and management of psychosocial issues in diabetes care. This paper highlights opportunities to increase mental health screenings and provides strategies to help providers address depression and diabetes distress in patients with type 2 diabetes.
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Providing Mental Health Services in the Primary Care Setting: the Experiences and Perceptions of General Practitioners at a New York City Clinic. Psychiatr Q 2018; 89:897-908. [PMID: 29968148 DOI: 10.1007/s11126-018-9587-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Mental illness is a significant cause of disability worldwide, including here in the United States. Given the shortage of trained mental health professionals, a significant portion of patients needing care are managed in the primary care setting. Accountable Care Organizations (ACOs), for example, are seeking to improve the quality of care for this vulnerable population, but many are facing significant challenges relating to integration of new services. We sought to elucidate barriers faced by primary care practitioners (PCPs)-physicians, physician trainees and nurse practitioners-at a New York primary care clinic, which impede delivery of optimal care to those suffering from mental illness. The study was conducted with 32 PCPs in 2016-2017 at Mount Sinai Internal Medicine Associates in New York City. For the quantitative component of the study, a 54-item questionnaire was devised to assess their attitude, behavior and confidence in managing psychiatric patients. For the qualitative component, data was obtained from 3 open-ended questions. Responses were coded for salient themes. Analysis revealed a range of difficulties faced by PCPs. Overall, participants felt that the need to integrate mental health care into primary care was important, however they reported significant barriers in terms of lack of time, lack of resources, low confidence in treating more complex mental health conditions and difficulties with referring patient to mental health specialists. Despite a growing body of evidence that integration of mental health services in primary care leads to improved outcomes, addressing barriers to care will be key to ensuring feasibility of integration measures.
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Srinivasan K, Mazur A, Mony PK, Whooley M, Ekstrand ML. Improving mental health through integration with primary care in rural Karnataka: study protocol of a cluster randomized control trial. BMC FAMILY PRACTICE 2018; 19:158. [PMID: 30205830 PMCID: PMC6134696 DOI: 10.1186/s12875-018-0845-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 08/31/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND People who are diagnosed with both mental and chronic medical illness present unique challenges for the health care system. In resource-limited settings, such as rural India, people with depression and anxiety are often under-served, due to both stigma and lack of trained providers and resources. These challenges can lead to complications in the management of chronic disease as well as increased suffering for patients, families and communities. In this study, we evaluate the effects of integrating mental health and chronic disease treatment of patients in primary health care (PHC) settings using a collaborative care model to improve the screening, diagnosis and treatment of depression in rural India. METHODS This study is a multi-level randomized controlled trial among patients with depression or anxiety and co-morbid diabetes, or cardiovascular disease. Aim 1 examines whether patients screened at community health-fairs are more likely to be diagnosed and treated for these co-morbid conditions than patients screened after presenting at PHCs. Aim 2 evaluates the impact of collaborative care compared to usual care in a cluster RCT, randomizing at the level of the PHCs. Intervention arm PHC staff are trained in mental health diagnoses, treatment, and the collaborative care model. The intervention also involves community-based "Healthy Living groups" co-led by Ashas, using cognitive-behavioral strategies to promote healthy behaviors. The primary outcome is severity of common mental disorders, with secondary outcomes being diabetes and cardiovascular risk, staff knowledge and patient perceptions. DISCUSSION If effective, our results will contribute to the field in five ways: 1) expand on implementation research in low resource settings by examining how multiple chronic diseases can be treated using integrated low-cost, evidence-based strategies, 2) build the capacity of PHC staff to diagnose and treat mental illness within their existing clinic structure and strengthen referral linkages; 3) link community members to primary care through community-based health fairs and healthy living groups; 4) increase mental health awareness in the community and reduce mental health stigma; 5) demonstrate the potential for intervention scale-up and sustainability. TRIAL REGISTRATION http://Clinicaltrials.gov : NCT02310932 registered December 8, 2014 URL: https://clinicaltrials.gov/ct2/show/record/NCT02310932 ; Clinical Trials Registry India: CTRI/2018/04/013001 retrospectively registered on April 4, 2018.
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Affiliation(s)
- Krishnamachari Srinivasan
- Division of Mental Health and Neurosciences, St. John’s Research Institute, St. John’s National Academy of Health Sciences, Bangalore, Karnataka India
- Department of Psychiatry, St John’s Medical College Hospital, Bangalore, Karnataka India
| | - Amanda Mazur
- Division of Prevention Sciences, University of California, San Francisco, USA
| | - Prem K. Mony
- Division of Epidemiology and Community Health, St. John’s Medical College and Research Institute, St. John’s National Academy of Health Sciences, Bangalore, India
| | - Mary Whooley
- Division of Cardiology, University of California, San Francisco, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, CA USA
| | - Maria L. Ekstrand
- Division of Mental Health and Neurosciences, St. John’s Research Institute, St. John’s National Academy of Health Sciences, Bangalore, Karnataka India
- Division of Prevention Sciences, University of California, San Francisco, USA
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Kastner M, Cardoso R, Lai Y, Treister V, Hamid JS, Hayden L, Wong G, Ivers NM, Liu B, Marr S, Holroyd-Leduc J, Straus SE. Effectiveness of interventions for managing multiple high-burden chronic diseases in older adults: a systematic review and meta-analysis. CMAJ 2018; 190:E1004-E1012. [PMID: 30150242 PMCID: PMC6110649 DOI: 10.1503/cmaj.171391] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2018] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION More than half of older adults (age ≥ 65 yr) have 2 or more high-burden multimorbidity conditions (i.e., highly prevalent chronic diseases, which are associated with increased health care utilization; these include diabetes [DM], dementia, depression, chronic obstructive pulmonary disease [COPD], cardiovascular disease [CVD], arthritis, and heart failure [HF]), yet most existing interventions for managing chronic disease focus on a single disease or do not respond to the specialized needs of older adults. We conducted a systematic review and meta-analysis to identify effective multimorbidity interventions compared with a control or usual care strategy for older adults. METHODS We searched bibliometric databases for randomized controlled trials (RCTs) evaluating interventions for managing multiple chronic diseases in any language from 1990 to December 2017. The primary outcome was any outcome specific to managing multiple chronic diseases as reported by studies. Reviewer pairs independently screened citations and full-text articles, extracted data and assessed risk of bias. We assessed statistical and methodological heterogeneity and performed a meta-analysis of RCTs with similar interventions and components. RESULTS We included 25 studies (including 15 RCTs and 6 cluster RCTs) (12 579 older adults; mean age 67.3 yr). In patients with [depression + COPD] or [CVD + DM], care-coordination strategies significantly improved depressive symptoms (standardized mean difference -0.41; 95% confidence interval [CI] -0.59 to -0.22; I2 = 0%) and reduced glycosylated hemoglobin (HbA1c) levels (mean difference -0.51; 95% CI -0.90 to -0.11; I2 = 0%), but not mortality (relative risk [RR] 0.79; 95% CI 0.53 to 1.17; I2 = 0%). Among secondary outcomes, care-coordination strategies reduced functional impairment in patients with [arthritis + depression] (between-group difference -0.82; 95% CI -1.17 to -0.47) or [DM + depression] (between-group difference 3.21; 95% CI 1.78 to 4.63); improved cognitive functioning in patients with [DM + depression] (between-group difference 2.44; 95% CI 0.79 to 4.09) or [HF + COPD] (p = 0.006); and increased use of mental health services in those with [DM + (CVD or depression)] (RR 2.57; 95% CI 1.90 to 3.49; I2 = 0%). INTERPRETATION Subgroup analyses showed that older adults with diabetes and either depression or cardiovascular disease, or with coexistence of chronic obstructive pulmonary disease and heart failure, can benefit from care-coordination strategies with or without education to lower HbA1c, reduce depressive symptoms, improve health-related functional status, and increase the use of mental health services. PROTOCOL REGISTRATION PROSPERO-CRD42014014489.
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Affiliation(s)
- Monika Kastner
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont.
| | - Roberta Cardoso
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Yonda Lai
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Victoria Treister
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Jemila S Hamid
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Leigh Hayden
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Geoff Wong
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Noah M Ivers
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Barbara Liu
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Sharon Marr
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Jayna Holroyd-Leduc
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Sharon E Straus
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
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Baxter S, Johnson M, Chambers D, Sutton A, Goyder E, Booth A. Understanding new models of integrated care in developed countries: a systematic review. HEALTH SERVICES AND DELIVERY RESEARCH 2018. [DOI: 10.3310/hsdr06290] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BackgroundThe NHS has been challenged to adopt new integrated models of service delivery that are tailored to local populations. Evidence from the international literature is needed to support the development and implementation of these new models of care.ObjectivesThe study aimed to carry out a systematic review of international evidence to enhance understanding of the mechanisms whereby new models of service delivery have an impact on health-care outcomes.DesignThe study combined rigorous and systematic methods for identification of literature, together with innovative methods for synthesis and presentation of findings.SettingAny setting.ParticipantsPatients receiving a health-care service and/or staff delivering services.InterventionsChanges to service delivery that increase integration and co-ordination of health and health-related services.Main outcome measuresOutcomes related to the delivery of services, including the views and perceptions of patients/service users and staff.Study designEmpirical work of a quantitative or qualitative design.Data sourcesWe searched electronic databases (between October 2016 and March 2017) for research published from 2006 onwards in databases including MEDLINE, EMBASE, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Science Citation Index, Social Science Citation Index and The Cochrane Library. We also searched relevant websites, screened reference lists and citation searched on a previous review.Review methodsThe identified evidence was synthesised in three ways. First, data from included studies were used to develop an evidence-based logic model, and a narrative summary reports the elements of the pathway. Second, we examined the strength of evidence underpinning reported outcomes and impacts using a comparative four-item rating system. Third, we developed an applicability framework to further scrutinise and characterise the evidence.ResultsWe included 267 studies in the review. The findings detail the complex pathway from new models to impacts, with evidence regarding elements of new models of integrated care, targets for change, process change, influencing factors, service-level outcomes and system-wide impacts. A number of positive outcomes were reported in the literature, with stronger evidence of perceived increased patient satisfaction and improved quality of care and access to care. There was stronger UK-only evidence of reduced outpatient appointments and waiting times. Evidence was inconsistent regarding other outcomes and system-wide impacts such as levels of activity and costs. There was an indication that new models have particular potential with patients who have complex needs.LimitationsDefining new models of integrated care is challenging, and there is the potential that our study excluded potentially relevant literature. The review was extensive, with diverse study populations and interventions that precluded the statistical summary of effectiveness.ConclusionsThere is stronger evidence that new models of integrated care may enhance patient satisfaction and perceived quality and increase access; however, the evidence regarding other outcomes is unclear. The study recommends factors to be considered during the implementation of new models.Future workLinks between elements of new models and outcomes require further study, together with research in a wider variety of populations.Study registrationThis study is registered as PROSPERO CRD37725.FundingThe National Institute for Health Research Health Services and Delivery Research programme.
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Affiliation(s)
- Susan Baxter
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Maxine Johnson
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Duncan Chambers
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Anthea Sutton
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Elizabeth Goyder
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Andrew Booth
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
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Hay E, Dziedzic K, Foster N, Peat G, van der Windt D, Bartlam B, Blagojevic-Bucknall M, Edwards J, Healey E, Holden M, Hughes R, Jinks C, Jordan K, Jowett S, Lewis M, Mallen C, Morden A, Nicholls E, Ong BN, Porcheret M, Wulff J, Kigozi J, Oppong R, Paskins Z, Croft P. Optimal primary care management of clinical osteoarthritis and joint pain in older people: a mixed-methods programme of systematic reviews, observational and qualitative studies, and randomised controlled trials. PROGRAMME GRANTS FOR APPLIED RESEARCH 2018. [DOI: 10.3310/pgfar06040] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BackgroundOsteoarthritis (OA) is the most common long-term condition managed in UK general practice. However, care is suboptimal despite evidence that primary care and community-based interventions can reduce OA pain and disability.ObjectivesThe overall aim was to improve primary care management of OA and the health of patients with OA. Four parallel linked workstreams aimed to (1) develop a health economic decision model for estimating the potential for cost-effective delivery of primary care OA interventions to improve population health, (2) develop and evaluate new health-care models for delivery of core treatments and support for self-management among primary care consulters with OA, and to investigate prioritisation and implementation of OA care among the public, patients, doctors, health-care professionals and NHS trusts, (3) determine the effectiveness of strategies to optimise specific components of core OA treatment using the example of exercise and (4) investigate the effect of interventions to tackle barriers to core OA treatment, using the example of comorbid anxiety and depression in persons with OA.Data sourcesThe North Staffordshire Osteoarthritis Project database, held by Keele University, was the source of data for secondary analyses in workstream 1.MethodsWorkstream 1 used meta-analysis and synthesis of published evidence about effectiveness of primary care treatments, combined with secondary analysis of existing longitudinal population-based cohort data, to identify predictors of poor long-term outcome (prognostic factors) and design a health economic decision model to estimate cost-effectiveness of different hypothetical strategies for implementing optimal primary care for patients with OA. Workstream 2 used mixed methods to (1) develop and test a ‘model OA consultation’ for primary care health-care professionals (qualitative interviews, consensus, training and evaluation) and (2) evaluate the combined effect of a computerised ‘pop-up’ guideline for general practitioners (GPs) in the consultation and implementing the model OA consultation on practice and patient outcomes (parallel group intervention study). Workstream 3 developed and investigated in a randomised controlled trial (RCT) how to optimise the effect of exercise in persons with knee OA by tailoring it to the individual and improving adherence. Workstream 4 developed and investigated in a cluster RCT the extent to which screening patients for comorbid anxiety and depression can improve OA outcomes. Public and patient involvement included proposal development, project steering and analysis. An OA forum involved public, patient, health professional, social care and researcher representatives to debate the results and formulate proposals for wider implementation and dissemination.ResultsThis programme provides evidence (1) that economic modelling can be used in OA to extrapolate findings of cost-effectiveness beyond the short-term outcomes of clinical trials, (2) about ways of implementing support for self-management and models of optimal primary care informed by National Institute for Health and Care Excellence recommendations, including the beneficial effects of training in a model OA consultation on GP behaviour and of pop-up screens in GP consultations on the quality of prescribing, (3) against adding enhanced interventions to current effective physiotherapy-led exercise for knee OA and (4) against screening for anxiety and depression in patients with musculoskeletal pain as an addition to current best practice for OA.ConclusionsImplementation of evidence-based care for patients with OA is feasible in general practice and has an immediate impact on improving the quality of care delivered to patients. However, improved levels of quality of care, changes to current best practice physiotherapy and successful introduction of psychological screening, as achieved by this programme, did not substantially reduce patients’ pain and disability. This poses important challenges for clinical practice and OA research.LimitationsThe key limitation in this work is the lack of improvement in patient-reported pain and disability despite clear evidence of enhanced delivery of evidence-based care.Future work recommendations(1) New thinking and research is needed into the achievable and desirable long-term goals of care for people with OA, (2) continuing investigation into the resources needed to properly implement clinical guidelines for management of OA as a long-term condition, such as regular monitoring to maintain exercise and physical activity and (3) new research to identify subgroups of patients with OA as a basis for stratified primary care including (i) those with good prognosis who can self-manage with minimal investigation or specialist treatment, (ii) those who will respond to, and benefit from, specific interventions in primary care, such as physiotherapy-led exercise, and (iii) develop research into effective identification and treatment of clinically important anxiety and depression in patients with OA and into the effects of pain management on psychological outcomes in patients with OA.Trial registrationCurrent Controlled Trials ISRCTN06984617, ISRCTN93634563 and ISRCTN40721988.FundingThis project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research Programme and will be published in full inProgramme Grants for Applied Research Programme; Vol. 6, No. 4. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Elaine Hay
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Krysia Dziedzic
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Nadine Foster
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - George Peat
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Danielle van der Windt
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Bernadette Bartlam
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Milisa Blagojevic-Bucknall
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - John Edwards
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Emma Healey
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Melanie Holden
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Rhian Hughes
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Clare Jinks
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Kelvin Jordan
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Sue Jowett
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Martyn Lewis
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Christian Mallen
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Andrew Morden
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Elaine Nicholls
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Bie Nio Ong
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Mark Porcheret
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Jerome Wulff
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Jesse Kigozi
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Raymond Oppong
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Zoe Paskins
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
| | - Peter Croft
- Arthritis Research UK Primary Care Centre, Institute of Primary Care and Health Sciences, Keele University, Keele, UK
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Hay JW, Lee PJ, Jin H, Guterman JJ, Gross-Schulman S, Ell K, Wu S. Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2018; 21:561-568. [PMID: 29753353 PMCID: PMC5953558 DOI: 10.1016/j.jval.2017.11.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 11/02/2017] [Accepted: 11/11/2017] [Indexed: 05/16/2023]
Abstract
BACKGROUND The Diabetes-Depression Care-Management Adoption Trial is a translational study of safety-net primary care predominantly Hispanic/Latino patients with type 2 diabetes in collaboration with the Los Angeles County Department of Health Services. OBJECTIVES To evaluate the cost-effectiveness of an information and communication technology (ICT)-facilitated depression care management program. METHODS Cost-effectiveness of the ICT-facilitated care (TC) delivery model was evaluated relative to a usual care (UC) and a supported care (SC) model. TC added automated low-intensity periodic depression assessment calls to patients. Patient-reported outcomes included the 12-Item Short Form Health Survey converted into quality-adjusted life-years (QALYs) and the 9-Item Patient Health Questionnaire-calculated depression-free days (DFDs). Costs and outcomes data were collected over a 24-month period (-6 to 0 months baseline, 0 to 18 months study intervention). RESULTS A sample of 1406 patients (484 in UC, 480 in SC, and 442 in TC) was enrolled in the nonrandomized trial. TC had a significant improvement in DFDs (17.3; P = 0.011) and significantly greater 12-Item Short Form Health Survey utility improvement (2.1%; P = 0.031) compared with UC. Medical costs were statistically significantly lower for TC (-$2328; P = 0.001) relative to UC but not significantly lower than for SC. TC had more than a 50% probability of being cost-effective relative to SC at willingness-to-pay thresholds of more than $50,000/QALY. CONCLUSIONS An ICT-facilitated depression care (TC) delivery model improved QALYs, DFDs, and medical costs. It was cost-effective compared with SC and dominant compared with UC.
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Affiliation(s)
- Joel W Hay
- Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA.
| | - Pey-Jiuan Lee
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Haomiao Jin
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Jeffrey J Guterman
- Los Angeles County Department of Health Services, Los Angeles, CA, USA; David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | | | - Kathleen Ell
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Shinyi Wu
- Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA; Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA; Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
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Wu S, Ell K, Jin H, Vidyanti I, Chou CP, Lee PJ, Gross-Schulman S, Sklaroff LM, Belson D, Nezu AM, Hay J, Wang CJ, Scheib G, Di Capua P, Hawkins C, Liu P, Ramirez M, Wu BW, Richman M, Myers C, Agustines D, Dasher R, Kopelowicz A, Allevato J, Roybal M, Ipp E, Haider U, Graham S, Mahabadi V, Guterman J. Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial. J Med Internet Res 2018; 20:e147. [PMID: 29685872 PMCID: PMC5938593 DOI: 10.2196/jmir.7692] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 12/10/2017] [Accepted: 01/13/2018] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Comorbid depression is a significant challenge for safety-net primary care systems. Team-based collaborative depression care is effective, but complex system factors in safety-net organizations impede adoption and result in persistent disparities in outcomes. Diabetes-Depression Care-management Adoption Trial (DCAT) evaluated whether depression care could be significantly improved by harnessing information and communication technologies to automate routine screening and monitoring of patient symptoms and treatment adherence and allow timely communication with providers. OBJECTIVE The aim of this study was to compare 6-month outcomes of a technology-facilitated care model with a usual care model and a supported care model that involved team-based collaborative depression care for safety-net primary care adult patients with type 2 diabetes. METHODS DCAT is a translational study in collaboration with Los Angeles County Department of Health Services, the second largest safety-net care system in the United States. A comparative effectiveness study with quasi-experimental design was conducted in three groups of adult patients with type 2 diabetes to compare three delivery models: usual care, supported care, and technology-facilitated care. Six-month outcomes included depression and diabetes care measures and patient-reported outcomes. Comparative treatment effects were estimated by linear or logistic regression models that used generalized propensity scores to adjust for sampling bias inherent in the nonrandomized design. RESULTS DCAT enrolled 1406 patients (484 in usual care, 480 in supported care, and 442 in technology-facilitated care), most of whom were Hispanic or Latino and female. Compared with usual care, both the supported care and technology-facilitated care groups were associated with significant reduction in depressive symptoms measured by scores on the 9-item Patient Health Questionnaire (least squares estimate, LSE: usual care=6.35, supported care=5.05, technology-facilitated care=5.16; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.02); decreased prevalence of major depression (odds ratio, OR: supported care vs usual care=0.45, technology-facilitated care vs usual care=0.33; P value: supported care vs usual care=.02, technology-facilitated care vs usual care=.007); and reduced functional disability as measured by Sheehan Disability Scale scores (LSE: usual care=3.21, supported care=2.61, technology-facilitated care=2.59; P value: supported care vs usual care=.04, technology-facilitated care vs usual care=.03). Technology-facilitated care was significantly associated with depression remission (technology-facilitated care vs usual care: OR=2.98, P=.04); increased satisfaction with care for emotional problems among depressed patients (LSE: usual care=3.20, technology-facilitated care=3.70; P=.05); reduced total cholesterol level (LSE: usual care=176.40, technology-facilitated care=160.46; P=.01); improved satisfaction with diabetes care (LSE: usual care=4.01, technology-facilitated care=4.20; P=.05); and increased odds of taking an glycated hemoglobin test (technology-facilitated care vs usual care: OR=3.40, P<.001). CONCLUSIONS Both the technology-facilitated care and supported care delivery models showed potential to improve 6-month depression and functional disability outcomes. The technology-facilitated care model has a greater likelihood to improve depression remission, patient satisfaction, and diabetes care quality.
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Affiliation(s)
- Shinyi Wu
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States.,Roybal Institute on Aging, University of Southern California, Los Angeles, CA, United States.,Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.,Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, United States
| | - Kathleen Ell
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States
| | - Haomiao Jin
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States.,Roybal Institute on Aging, University of Southern California, Los Angeles, CA, United States.,Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
| | - Irene Vidyanti
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.,Policy Analysis Unit, Los Angeles County Department of Public Health, Los Angeles, CA, United States
| | - Chih-Ping Chou
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Pey-Jiuan Lee
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States
| | | | - Laura Myerchin Sklaroff
- Los Angeles County Department of Health Services, Los Angeles, CA, United States.,College of Social and Behavioral Sciences, California State University, Northridge, Los Angeles, CA, United States
| | - David Belson
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
| | - Arthur M Nezu
- Department of Psychology, Drexel University, Philadelphia, PA, United States
| | - Joel Hay
- Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, United States
| | - Chien-Ju Wang
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Geoffrey Scheib
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Paul Di Capua
- Caremore Medical Group, East Haven, CT, United States.,Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Caitlin Hawkins
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
| | - Pai Liu
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
| | - Magaly Ramirez
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.,Department of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States
| | - Brian W Wu
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Mark Richman
- Department of Emergency Medicine, Northwell Health Long Island Jewish Medical Center, New Hyde Park, NY, United States
| | - Caitlin Myers
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Davin Agustines
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Robert Dasher
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Alex Kopelowicz
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Joseph Allevato
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Mike Roybal
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Eli Ipp
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.,Harbor-UCLA Medical Center, University of California Los Angeles, Los Angeles, CA, United States.,Los Angeles Biomedical Research Institute, Los Angeles, CA, United States
| | - Uzma Haider
- Harbor-UCLA Medical Center, University of California Los Angeles, Los Angeles, CA, United States
| | - Sharon Graham
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Vahid Mahabadi
- Los Angeles County Department of Health Services, Los Angeles, CA, United States
| | - Jeffrey Guterman
- Los Angeles County Department of Health Services, Los Angeles, CA, United States.,David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
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Molife C. Is Depression a Modifiable Risk Factor for Diabetes Burden? J Prim Care Community Health 2018; 1:55-61. [DOI: 10.1177/2150131909359633] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The purpose of this review article was to examine the empirical evidence supporting depression as a risk factor for diabetes complications and associated burden. A database search using keywords located recent clinical and population studies addressing the association between depression and type 2 diabetes. Both cross-sectional and cohort studies were reviewed. Depression appears to exacerbate the progression of type 2 diabetes. The evidence is strong supporting the hypothesis that depression in persons with diabetes increases the risk of diabetes-related burden, including suboptimal glycemic control, complications, functionality, mortality, and health care utilization. Screening for depression among patients with diabetes should be increased in primary care. Newer approaches to diabetes care management may help to slow the progression of diabetes.
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Affiliation(s)
- Cliff Molife
- Walden University, College of Health Sciences, Baltimore, MD, USA
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Wilson C, Twigg G. Pharmacist-led depression screening and intervention in an underserved, rural, and multi-ethnic diabetic population. J Am Pharm Assoc (2003) 2018; 58:205-209. [DOI: 10.1016/j.japh.2017.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 07/08/2017] [Accepted: 11/09/2017] [Indexed: 01/30/2023]
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Davis MM, Gunn R, Gowen LK, Miller BF, Green LA, Cohen DJ. A qualitative study of patient experiences of care in integrated behavioral health and primary care settings: more similar than different. Transl Behav Med 2018; 8:649-659. [DOI: 10.1093/tbm/ibx001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Melinda M Davis
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
- Oregon Rural Practice-based Research Network, Portland, OR, USA
| | - Rose Gunn
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - L Kris Gowen
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Benjamin F Miller
- Eugene S. Farley, Jr. Health Policy Center, Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Larry A Green
- Eugene S. Farley, Jr. Health Policy Center, Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Deborah J Cohen
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
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Strauss SM, Rosedale MT, Rindskopf DM. Predictors of Depression Among Adult Women With Diabetes in the United States: An Analysis Using National Health and Nutrition Examination Survey Data From 2007 to 2012. DIABETES EDUCATOR 2017; 42:728-738. [PMID: 27831524 DOI: 10.1177/0145721716672339] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
PURPOSE The purpose of the study was to identify the sex-specific characteristics that predict depression among adult women with diabetes. METHODS Data from the 2007-2012 National Health and Nutrition Examination Survey in the United States were used to identify the predictors of depression in a large sample of women ages 20 years and older with diabetes (n = 946). RESULTS When extrapolated to almost 9 million women in the United States ≥ 20 years of age with diabetes, 19.0% had depression. Female-specific significant predictors of depression included younger age (< 65 years old), less than high school graduation, self-rated fair or poor health, inactivity due to poor health, and pain that interferes with usual activities. Marital status and diabetes-related factors (years living with diabetes, use of insulin, parent or sibling with diabetes) were not significant predictors of depression in adult women with diabetes. CONCLUSION When educating and counseling women with diabetes, diabetes educators should be aware that some of the predictors of depression in women with diabetes differ from those of populations that include both sexes. Depression screening, although important for all women with diabetes, should especially be performed among women with female-specific depression predictors.
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Affiliation(s)
- Shiela M Strauss
- New York University, Rory Meyers College of Nursing, New York, New York (Dr Strauss, Dr Rosedale)
| | - Mary T Rosedale
- New York University, Rory Meyers College of Nursing, New York, New York (Dr Strauss, Dr Rosedale)
| | - David M Rindskopf
- City University of New York, Graduate School and University Center, New York, New York (Dr Rindskopf)
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Egede LE, Walker RJ, Payne EH, Knapp RG, Acierno R, Frueh BC. Effect of psychotherapy for depression via home telehealth on glycemic control in adults with type 2 diabetes: Subgroup analysis of a randomized clinical trial. J Telemed Telecare 2017; 24:596-602. [PMID: 28945160 DOI: 10.1177/1357633x17730419] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objective We evaluated the impact of telemedicine-delivered behaviour activation treatment (BAT) on glycemic control in a subgroup of older adults with diabetes who participated in a randomized controlled trial for depression. Research design and methods We randomized older adults with major depression to same-room or telemedicine BAT. Each group received eight weekly sessions. For the subgroup analysis, we identified individuals with type 2 diabetes and obtained hemoglobin A1c at baseline and 12 months' follow-up. We used mixed-effects models (MEM) for repeated measures analysis to compare the longitudinal mean A1c. We estimated model-derived mean A1c values and considered an adjusted model to account for baseline health status. Results We included 90 individuals with type 2 diabetes of the original 241 in the subgroup analysis (43 in telemedicine and 47 in same room). Treatment groups were not significantly different at baseline for demographics, depression, anxiety or A1c levels (telemedicine 6.9 vs. same room 7.3, p = 0.19). Baseline mean A1c for the telemedicine group remained at 6.9 (55 mmol/mol) at 12 months, whereas baseline mean A1c for the same-room group increased to 7.7 (61 mmol/mol). Longitudinal trajectories of model-derived mean A1c indicated a significant main effect of treatment group on mean A1c value at study end (difference = -0.82, 95% CI -1.41, -0.24). Adjusted analyses gave comparable results. Conclusions Telemedicine-delivered BAT was superior to same room in achieving lower mean A1c values in participants with type 2 diabetes, suggesting BAT-delivered via telemedicine is a viable treatment option for adults with diabetes.
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Affiliation(s)
- Leonard E Egede
- 1 Department of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, USA.,2 Center for Patient Care and Outcomes Research (PCOR), Medical College of Wisconsin, USA
| | - Rebekah J Walker
- 1 Department of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, USA.,2 Center for Patient Care and Outcomes Research (PCOR), Medical College of Wisconsin, USA
| | | | - Rebecca G Knapp
- 4 Department of Public Health Sciences, Medical University of South Carolina, USA.,5 Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Veterans Affairs Medical Center, USA
| | - Ronald Acierno
- 6 College of Nursing, Medical University of South Carolina, USA
| | - B Christopher Frueh
- 7 Department of Psychology, University of Hawaii, USA.,8 Department of Psychology, The Menninger Clinic, USA
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Acharya B, Ekstrand M, Rimal P, Ali MK, Swar S, Srinivasan K, Mohan V, Unützer J, Chwastiak LA. Collaborative Care for Mental Health in Low- and Middle-Income Countries: A WHO Health Systems Framework Assessment of Three Programs. Psychiatr Serv 2017; 68:870-872. [PMID: 28760096 PMCID: PMC5790311 DOI: 10.1176/appi.ps.201700232] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The collaborative care model is an evidence-based intervention for behavioral and other chronic conditions that has the potential to address the large burden of mental illness globally. Using the World Health Organization Health Systems Framework, the authors present challenges in implementing this model in low- and middle-income countries (LMICs) and discuss strategies to address these challenges based on experiences with three large-scale programs: an implementation research study in a district-level government hospital in rural Nepal, one clinical trial in 50 primary health centers in rural India, and one study in four diabetes clinics in India. Several strategies can be utilized to address implementation challenges and enhance scalability in LMICs, including mobilizing community resources, engaging in advocacy, and strengthening the overall health care delivery system.
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Affiliation(s)
- Bibhav Acharya
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Maria Ekstrand
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Pragya Rimal
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Mohammed K Ali
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Sikhar Swar
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Krishnamachari Srinivasan
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Viswanathan Mohan
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Jürgen Unützer
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
| | - Lydia A Chwastiak
- Dr. Acharya, Ms. Rimal, and Dr. Swar are with Possible, Achham, Nepal. Dr. Acharya is also with the Department of Psychiatry, University of California, San Francisco (UCSF), where Dr. Ekstrand is with the Department of Medicine. Dr. Ali is with the Department of Global Health and Epidemiology, Emory University, Atlanta. Dr. Srinivasan is with St. Johns Research Institute, Bengaluru, Karnataka, India. Dr. Mohan is with the Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India. Dr. Unützer and Dr. Chwastiak are with the Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle
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Arigo D, Juth V, Trief P, Wallston K, Ulbrecht J, Smyth JM. Unique relations between post-traumatic stress disorder symptoms and patient functioning in type 2 diabetes. J Health Psychol 2017; 25:652-664. [PMID: 28859527 DOI: 10.1177/1359105317727839] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
This study examined reported post-traumatic stress disorder symptoms in adults with poorly controlled type 2 diabetes who had no history of psychiatric diagnosis or treatment (n = 184, MHbA1c = 9.13%, standard deviation = 1.68). Participants reported moderate to severe intensity of post-traumatic stress disorder symptoms (M = 19.17, SD = 17.58). Together, depressive and post-traumatic stress disorder symptoms accounted for 10-40 percent of the variance in type 2 diabetes outcomes; post-traumatic stress disorder symptoms were associated with elevated diabetes distress and more frequent exercise and self-blood glucose testing (unique R2 ~ 3%). Post-traumatic stress disorder symptoms may be overlooked in type 2 diabetes among patients without formal psychiatric diagnoses, and warrant increased attention.
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Guthrie E, Afzal C, Blakeley C, Blakemore A, Byford R, Camacho E, Chan T, Chew-Graham C, Davies L, de Lusignan S, Dickens C, Drinkwater J, Dunn G, Hunter C, Joy M, Kapur N, Langer S, Lovell K, Macklin J, Mackway-Jones K, Ntais D, Salmon P, Tomenson B, Watson J. CHOICE: Choosing Health Options In Chronic Care Emergencies. PROGRAMME GRANTS FOR APPLIED RESEARCH 2017. [DOI: 10.3310/pgfar05130] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BackgroundOver 70% of the health-care budget in England is spent on the care of people with long-term conditions (LTCs), and a major cost component is unscheduled health care. Psychological morbidity is high in people with LTCs and is associated with a range of adverse outcomes, including increased mortality, poorer physical health outcomes, increased health costs and service utilisation.ObjectivesThe aim of this programme of research was to examine the relationship between psychological morbidity and use of unscheduled care in people with LTCs, and to develop a psychosocial intervention that would have the potential to reduce unscheduled care use. We focused largely on emergency hospital admissions (EHAs) and attendances at emergency departments (EDs).DesignA three-phase mixed-methods study. Research methods included systematic reviews; a longitudinal prospective cohort study in primary care to identify people with LTCs at risk of EHA or ED admission; a replication study in primary care using routinely collected data; an exploratory and feasibility cluster randomised controlled trial in primary care; and qualitative studies to identify personal reasons for the use of unscheduled care and factors in routine consultations in primary care that may influence health-care use. People with lived experience of LTCs worked closely with the research team.SettingPrimary care. Manchester and London.ParticipantsPeople aged ≥ 18 years with at least one of four common LTCs: asthma, coronary heart disease, chronic obstructive pulmonary disease (COPD) and diabetes. Participants also included health-care staff.ResultsEvidence synthesis suggested that depression, but not anxiety, is a predictor of use of unscheduled care in patients with LTCs, and low-intensity complex interventions reduce unscheduled care use in people with asthma and COPD. The results of the prospective study were that depression, not having a partner and life stressors, in addition to prior use of unscheduled care, severity of illness and multimorbidity, were independent predictors of EHA and ED admission. Approximately half of the cost of health care for people with LTCs was accounted for by use of unscheduled care. The results of the replication study, carried out in London, broadly supported our findings for risk of ED attendances, but not EHAs. This was most likely due to low rates of detection of depression in general practitioner (GP) data sets. Qualitative work showed that patients were reluctant to use unscheduled care, deciding to do so when they perceived a serious and urgent need for care, and following previous experience that unscheduled care had successfully and unquestioningly met similar needs in the past. In general, emergency and primary care doctors did not regard unscheduled care as problematic. We found there are missed opportunities to identify and discuss psychosocial issues during routine consultations in primary care due to the ‘overmechanisation’ of routine health-care reviews. The feasibility trial examined two levels of an intervention for people with COPD: we tried to improve the way in which practices manage patients with COPD and developed a targeted psychosocial treatment for patients at risk of using unscheduled care. The former had low acceptability, whereas the latter had high acceptability. Exploratory health economic analyses suggested that the practice-level intervention would be unlikely to be cost-effective, limiting the value of detailed health economic modelling.LimitationsThe findings of this programme may not apply to all people with LTCs. It was conducted in an area of high social deprivation, which may limit the generalisability to more affluent areas. The response rate to the prospective longitudinal study was low. The feasibility trial focused solely on people with COPD.ConclusionsPrior use of unscheduled care is the most powerful predictor of unscheduled care use in people with LTCs. However, psychosocial factors, particularly depression, are important additional predictors of use of unscheduled care in patients with LTCs, independent of severity and multimorbidity. Patients and health-care practitioners are unaware that psychosocial factors influence health-care use, and such factors are rarely acknowledged or addressed in consultations or discussions about use of unscheduled care. A targeted patient intervention for people with LTCs and comorbid depression has shown high levels of acceptability when delivered in a primary care context. An intervention at the level of the GP practice showed little evidence of acceptability or cost-effectiveness.Future workThe potential benefits of case-finding for depression in patients with LTCs in primary care need to be evaluated, in addition to further evaluation of the targeted patient intervention.FundingThe National Institute for Health Research Programme Grants for Applied Research programme.
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Affiliation(s)
- Elspeth Guthrie
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Cara Afzal
- Manchester Mental Health and Social Care Trust, Manchester Royal Infirmary, Manchester, UK
- Greater Manchester Academic Health Science Network (GM AHSN), Manchester, UK
| | - Claire Blakeley
- Manchester Mental Health and Social Care Trust, Manchester Royal Infirmary, Manchester, UK
- Manchester Academic Health Science Centre, Manchester, UK
| | - Amy Blakemore
- Manchester Academic Health Science Centre, Manchester, UK
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, UK
| | - Rachel Byford
- Department of Health Care Management and Policy, University of Surrey, Guildford, UK
| | - Elizabeth Camacho
- Manchester Academic Health Science Centre, Manchester, UK
- Centre for Health Economics, Institute for Population Health, University of Manchester, Manchester, UK
| | - Tom Chan
- Department of Health Care Management and Policy, University of Surrey, Guildford, UK
| | - Carolyn Chew-Graham
- Research Institute, Primary Care and Health Sciences, Keele University, Keele, UK
| | - Linda Davies
- Centre for Health Economics, Institute for Population Health, University of Manchester, Manchester, UK
| | - Simon de Lusignan
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, UK
| | - Chris Dickens
- Institute of Health Research, Medical School, University of Exeter, Exeter, UK
- Peninsula Collaboration for Leadership in Health Research and Care (PenCLAHRC), University of Exeter, Exeter, UK
| | | | - Graham Dunn
- Manchester Academic Health Science Centre, Manchester, UK
- Centre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK
| | - Cheryl Hunter
- Health Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Mark Joy
- Faculty of Science, Engineering and Computing, Kingston University, London, UK
| | - Navneet Kapur
- Manchester Academic Health Science Centre, Manchester, UK
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Susanne Langer
- Department of Psychology, Manchester Metropolitan University, Manchester, UK
| | - Karina Lovell
- Manchester Academic Health Science Centre, Manchester, UK
- School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | | | - Kevin Mackway-Jones
- Manchester Academic Health Science Centre, Manchester, UK
- Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Dionysios Ntais
- Manchester Academic Health Science Centre, Manchester, UK
- Centre for Health Economics, Institute for Population Health, University of Manchester, Manchester, UK
| | - Peter Salmon
- Department of Psychological Sciences, University of Liverpool, Liverpool, UK
| | - Barbara Tomenson
- Manchester Academic Health Science Centre, Manchester, UK
- Centre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK
| | - Jennifer Watson
- Manchester Mental Health and Social Care Trust, Manchester Royal Infirmary, Manchester, UK
- Manchester Academic Health Science Centre, Manchester, UK
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Randall I, Mohr DC, Maynard C. VHA Patient-Centered Medical Home Associated With Lower Rate of Hospitalizations and Specialty Care Among Veterans With Posttraumatic Stress Disorder. J Healthc Qual 2017; 39:168-176. [PMID: 28481843 DOI: 10.1111/jhq.12092] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The Veterans Health Administration (VHA) implemented a patient-centered medical home (PCMH) model, termed Patient Aligned Care Teams (PACT), in 2010. We assessed the association between PACT and the use of health services among U.S. veterans with posttraumatic stress disorder (PTSD). METHODS VHA clinical and administrative data were obtained for the pre-PACT period of April 1, 2009 to March 31, 2010 and post-PACT period of June 1, 2011 to May 31, 2012. Outcomes included hospitalizations, primary, specialty and mental health visits, and emergency department and urgent care visits. We utilized negative binomial regression and extended estimating equation models for the full sample. The analysis contained 696,379 unique veterans in both pre- and post-PACT periods. We estimated the linear incremental effect of PACT on utilization outcomes. RESULTS PACT were associated with a decrease in hospitalizations (incremental effect [IE]: -0.02; 95% confidence interval [CI]: -0.03, -0.01), a decrease in specialty care visits (IE: -0.45; 95% CI: -0.07, -0.23), and an increase in primary care visits (IE: 0.96; 95% CI: 0.67, 1.25). CONCLUSIONS The period following PACT implementation was associated with a lower rate of hospitalizations and specialty care visits, and a higher rate of primary care visits for veterans with PTSD, indicating enhanced access to primary care.
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Robiner WN, Petrik ML. Managing Difficult Patients: Roles of Psychologists in the Age of Interdisciplinary Care. J Clin Psychol Med Settings 2017; 24:27-36. [DOI: 10.1007/s10880-017-9490-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Fisher EB, Thorpe CT, McEvoy DeVellis B, DeVellis RF. Healthy Coping, Negative Emotions, and Diabetes Management. DIABETES EDUCATOR 2016; 33:1080-103; discussion 1104-6. [DOI: 10.1177/0145721707309808] [Citation(s) in RCA: 162] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Edwin B. Fisher
- Department of Health Behavior and Health Education,
School of Public Health, University of North Carolina at Chapel Hill,
| | - Carolyn T. Thorpe
- Center for Health Services Research in Primary Care,
Durham Veterans Affairs Medical Center, Durham, North Carolina
| | - Brenda McEvoy DeVellis
- Department of Health Behavior and Health Education,
School of Public Health, University of North Carolina at Chapel Hill
| | - Robert F. DeVellis
- Department of Health Behavior and Health Education,
School of Public Health, University of North Carolina at Chapel Hill
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Abstract
Mounting evidence supports the value of integrated healthcare and the need for interprofessional practice within patient-centered medical homes (PCMH). Incorporating behavioral health services is key to fully implementing the PCMH concept. Unfortunately, psychologists have not been front and center in this integrative and interprofessional care movement nor have they typically received adequate training or experience to work effectively in these integrated care programs. This article builds the case for the value of PCMHs, particularly those that incorporate behavioral health services. Attention is paid to the diverse roles psychologists play in these settings, including as direct service providers, consultants, teachers/supervisors, scholars/program evaluators, and leaders. There is a discussion of the competencies psychologists must possess to play these roles effectively. Future directions are discussed, with a focus on ways psychologists can bolster the PCMH model by engaging in interprofessional partnerships related to education and training, practice, research, and leadership.
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Abstract
Depression is among the most prevalent and debilitating psychiatric disorders in the world. A striking feature of this disorder is that women are twice as likely to experience depression compared with men. Research indicates that genetic, biological and environmental factors contribute to the gender differences noted in depression. Women are more likely to suffer a greater number of and more severe stressful life events compared with men, although no gender difference has been found to explain the genetic vulnerability. As individuals with depression most frequently present to general practitioners, healthcare providers should consider screening for depression and using rigorous treatment strategies for depressed patients with comorbid medical illnesses.
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Affiliation(s)
- Denise M Sloan
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA, Tel.: +1 1 215 204 1571; Fax: +1 215 204 5539
| | - Arthur R Sandt
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA, Tel.: +1 1 215 204 1571; Fax: +1 215 204 5539
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Bhattacharya R, Shen C, Wachholtz AB, Dwibedi N, Sambamoorthi U. Depression treatment decreases healthcare expenditures among working age patients with comorbid conditions and type 2 diabetes mellitus along with newly-diagnosed depression. BMC Psychiatry 2016; 16:247. [PMID: 27431801 PMCID: PMC4950075 DOI: 10.1186/s12888-016-0964-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 07/08/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There are many studies in the literature on the association between depression treatment and health expenditures. However, there is a knowledge gap in examining this relationship taking into account coexisting chronic conditions among patients with diabetes. We aim to analyze the association between depression treatment and healthcare expenditures among adults with Type 2 Diabetes Mellitus (T2DM) and newly-diagnosed depression, with consideration of coexisting chronic physical conditions. METHODS We used multi-state Medicaid data (2000-2008) and adopted a retrospective longitudinal cohort design. Medical conditions were identified using diagnosis codes (ICD-9-CM and CPT systems). Healthcare expenditures were aggregated for each month for 12 months. Types of coexisting chronic physical conditions were hierarchically grouped into: dominant, concordant, discordant, and both concordant and discordant. Depression treatment categories were as follows: antidepressants or psychotherapy, both antidepressants and psychotherapy, and no treatment. We used linear mixed-effects models on log-transformed expenditures (total and T2DM-related) to examine the relationship between depression treatment and health expenditures. The analyses were conducted on the overall study population and also on subgroups that had coexisting chronic physical conditions. RESULTS Total healthcare expenditures were reduced by treatment with antidepressants (16 % reduction), psychotherapy (22 %), and both therapy types in combination (28 %) compared to no depression treatment. Treatment with both antidepressants and psychotherapy was associated with reductions in total healthcare expenditures among all groups that had a coexisting chronic physical condition. CONCLUSIONS Among adults with T2DM and chronic conditions, treatment with both antidepressants and psychotherapy may result in economic benefits.
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Affiliation(s)
| | - Chan Shen
- />Department of Health Services Research and Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX USA
- />Departments of Health Services Research, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1444, Houston, TX 77030 USA
| | - Amy B. Wachholtz
- />Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA USA
| | - Nilanjana Dwibedi
- />Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV USA
| | - Usha Sambamoorthi
- />Department of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, WV USA
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McBain H, Mulligan K, Haddad M, Flood C, Jones J, Simpson A. Self management interventions for type 2 diabetes in adult people with severe mental illness. Cochrane Database Syst Rev 2016; 4:CD011361. [PMID: 27120555 PMCID: PMC10201333 DOI: 10.1002/14651858.cd011361.pub2] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND People with severe mental illness are twice as likely to develop type 2 diabetes as those without severe mental illness. Treatment guidelines for type 2 diabetes recommend that structured education should be integrated into routine care and should be offered to all. However, for people with severe mental illness, physical health may be a low priority, and motivation to change may be limited. These additional challenges mean that the findings reported in previous systematic reviews of diabetes self management interventions may not be generalised to those with severe mental illness, and that tailored approaches to effective diabetes education may be required for this population. OBJECTIVES To assess the effects of diabetes self management interventions specifically tailored for people with type 2 diabetes and severe mental illness. SEARCH METHODS We searched the Cochrane Library, MEDLINE, EMBASE, PsycINFO, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the International Clinical Trials Registry Platform (ICTRP) Search Portal, ClinicalTrials.gov and grey literature. The date of the last search of all databases was 07 March 2016. SELECTION CRITERIA Randomised controlled trials of diabetes self management interventions for people with type 2 diabetes and severe mental illness. DATA COLLECTION AND ANALYSIS Two review authors independently screened abstracts and full-text articles, extracted data and conducted the risk of bias assessment. We used a taxonomy of behaviour change techniques and the framework for behaviour change theory to describe the theoretical basis of the interventions and active ingredients. We used the GRADE method (Grades of Recommendation, Assessment, Development and Evaluation Working Group) to assess trials for overall quality of evidence. MAIN RESULTS We included one randomised controlled trial involving 64 participants with schizophrenia or schizoaffective disorder. The average age of participants was 54 years; participants had been living with type 2 diabetes for on average nine years, and with their psychiatric diagnosis since they were on average 28 years of age. Investigators evaluated the 24-week Diabetes Awareness and Rehabilitation Training (DART) programme in comparison with usual care plus information (UCI). Follow-up after trial completion was six months. Risk of bias was mostly unclear but was high for selective reporting. Trial authors did not report on diabetes-related complications, all-cause mortality, adverse events, health-related quality of life nor socioeconomic effects. Twelve months of data on self care behaviours as measured by total energy expenditure showed a mean of 2148 kcal for DART and 1496 kcal for UCI (52 participants; very low-quality evidence), indicating no substantial improvement. The intervention did not have a substantial effect on glycosylated haemoglobin A1c (HbA1c) at 6 or 12 months of follow-up (12-month HbA1c data 7.9% for DART vs 6.9% for UCI; 52 participants; very low-quality evidence). Researchers noted small improvements in body mass index immediately after the intervention was provided and at six months, along with improved weight post intervention. Diabetes knowledge and self efficacy improved immediately following receipt of the intervention, and knowledge also at six months. The intervention did not improve blood pressure. AUTHORS' CONCLUSIONS Evidence is insufficient to show whether type 2 diabetes self management interventions for people with severe mental illness are effective in improving outcomes. Researchers must conduct additional trials to establish efficacy, and to identify the active ingredients in these interventions and the people most likely to benefit from them.
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Affiliation(s)
- Hayley McBain
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
- East London NHS Foundation TrustLondonUK
| | - Kathleen Mulligan
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
- East London NHS Foundation TrustLondonUK
| | - Mark Haddad
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
- East London NHS Foundation TrustLondonUK
| | - Chris Flood
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
- East London NHS Foundation TrustLondonUK
| | - Julia Jones
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
| | - Alan Simpson
- City University LondonSchool of Health SciencesNorthampton SquareLondonUKEC1V 0HB
- East London NHS Foundation TrustLondonUK
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Angstman KB, Doganer YC, DeJesus RS, Rohrer JE. Increased medical cost metrics for patients 50 years of age and older in the collaborate care model of treatment for depression. Psychogeriatrics 2016; 16:102-6. [PMID: 25919415 DOI: 10.1111/psyg.12129] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Revised: 02/02/2015] [Accepted: 03/12/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND The collaborative care model (CCM) has been consistently shown to achieve effectiveness in depression management compared to usual care. In the present study, we aimed to determine the impact of age on cost metrics in patients who were treated with CCM for 6 months after a diagnosis of depression. METHODS The upper quartile of age was 50 years and older (n = 56), and the comparison group was composed of patients in the three younger quartiles, aged 18-49 years (n = 163). RESULTS Patients in the older age group had an elevated median Current Procedure Terminology cost rank of 255.5 compared to 168.0 for the younger patients (P < 0.001). Multiple logistic regression analysis revealed that being in the upper quartile of age (≥ 50 years) (odds ratio = 2.272, 95% confidence interval: 1.064-4.851; P = 0.034) and having higher numbers of clinical visits 6 months prior to index (odds ratio = 1.209, 95% confidence interval: 1.118-1.307; P < 0.001) were significant predictor variables of being cost rank outliers (>80th percentile) in patients with CCM. CONCLUSION Medical cost utilization in the 6 months after diagnosis of depression was significantly higher in patients in the upper age quartile (≥ 50 years) enrolled in CCM than those in the lower quartiles (age < 50).
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Affiliation(s)
- Kurt B Angstman
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Yusuf C Doganer
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Ramona S DeJesus
- Division of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - James E Rohrer
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Painter JT, Fortney JC, Gifford AL, Rimland D, Monson T, Rodriguez-Barradas MC, Pyne JM. Cost-Effectiveness of Collaborative Care for Depression in HIV Clinics. J Acquir Immune Defic Syndr 2015; 70:377-85. [PMID: 26102447 PMCID: PMC4626259 DOI: 10.1097/qai.0000000000000732] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To examine the cost-effectiveness of the HIV Translating Initiatives for Depression Into Effective Solutions (HITIDES) intervention. DESIGN Randomized controlled effectiveness and implementation trial comparing depression collaborative care with enhanced usual care. SETTING Three Veterans Health Administration HIV clinics in the Southern United States. SUBJECTS Two hundred forty-nine HIV-infected patients completed the baseline interview; 123 were randomized to the intervention and 126 to usual care. INTERVENTION HITIDES consisted of an offsite HIV depression care team that delivered up to 12 months of collaborative care. The intervention used a stepped-care model for depression treatment, and specific recommendations were based on the Texas Medication Algorithm Project and the VA/Department of Defense Depression Treatment Guidelines. MAIN OUTCOME MEASURES Quality-adjusted life years (QALYs) were calculated using the 12-Item Short Form Health Survey, the Quality of Well Being Scale, and by converting depression-free days to QALYs. The base case analysis used outpatient, pharmacy, patient, and intervention costs. Cost-effectiveness was calculated using incremental cost-effectiveness ratios (ICERs) and net health benefit. ICER distributions were generated using nonparametric bootstrap with replacement sampling. RESULTS The HITIDES intervention was more effective and cost saving compared with usual care in 78% of bootstrapped samples. The intervention net health benefit was positive and therefore deemed cost-effective using an ICER threshold of $50,000/QALY. CONCLUSIONS In HIV clinic settings, this intervention was more effective and cost saving compared with usual care. Implementation of offsite depression collaborative care programs in specialty care settings may be a strategy that not only improves outcomes for patients but also maximizes the efficient use of limited health care resources.
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Affiliation(s)
- Jacob T Painter
- Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System; Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences, 2200 Fort Roots Drive (152/NLR), North Little Rock, Arkansas 72114, Phone: 501-257-1740, Fax: 501-257-1707
| | - John C Fortney
- Center for Mental Healthcare and Outcomes Research &, South Central Mental Illness Research, Education and Clinical Centers, Central Arkansas Veterans Healthcare System &, Psychiatric Research Institute, University of Arkansas for Medical Sciences
| | - Allen L Gifford
- VA New England Healthcare System, Center for Healthcare Quality, Outcomes, and Economic Research, Bedford, Massachusetts
| | - David Rimland
- Atlanta VA Medical Center &, Department of Infectious Disease, Emory University, School of Medicine, Atlanta, Georgia
| | - Thomas Monson
- Department of Infectious Disease, Central Arkansas Veterans Healthcare System
| | - Maria C. Rodriguez-Barradas
- Michael E. DeBakey VA Medical Center &, Department of Medicine – Infectious Disease, Baylor College of Medicine
| | - Jeffrey M Pyne
- Center for Mental Healthcare and Outcomes Research &, South Central Mental Illness Research, Education and Clinical Centers, Central Arkansas Veterans Healthcare System;, Psychiatric Research Institute, University of Arkansas for Medical Sciences
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Yarbro JL, Mehlenbeck R. Financial Analysis of Behavioral Health Services in a Pediatric Endocrinology Clinic. J Pediatr Psychol 2015; 41:879-87. [DOI: 10.1093/jpepsy/jsv109] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 10/15/2015] [Indexed: 12/24/2022] Open
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Crowley RA, Kirschner N. The integration of care for mental health, substance abuse, and other behavioral health conditions into primary care: executive summary of an American College of Physicians position paper. Ann Intern Med 2015; 163:298-9. [PMID: 26121401 DOI: 10.7326/m15-0510] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Behavioral health care includes care for patients around mental health and substance abuse conditions, health behavior change, life stresses and crises, and stress-related physical symptoms. Mental and substance use disorders alone are estimated to surpass all physical diseases as a major cause of worldwide disability by 2020. The literature recognizes the importance of the health care system effectively addressing behavioral health conditions. Recently, there has been a call for the use of the primary care delivery platform and the related patient-centered medical home model to effectively address these conditions. This position paper focuses on the issue of better integration of behavioral health into the primary care setting. It provides an environmental scan of the current state of conditions included in the concept of behavioral health and examines the arguments for and barriers to increased integration into primary care. It also examines various approaches of integrated care delivery and offers a series of policy recommendations that are based on the reviewed information and evidence to inform the actions of the American College of Physicians and its members regarding advocacy, research, and practice.
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