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Waqas A, Correia JC, Ahmad M, Akhtar TN, Meraj H, Angelakis I, Pataky Z. Therapeutic patient education for severe mental disorders: A systematic review. Glob Ment Health (Camb) 2024; 11:e78. [PMID: 39464569 PMCID: PMC11504939 DOI: 10.1017/gmh.2024.68] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/22/2024] [Accepted: 05/22/2024] [Indexed: 10/29/2024] Open
Abstract
Objective This systematic review aimed to review therapeutic patient education (TPE) programmes in managing psychiatric disorders, considering the diversity in delivering agents, intervention formats, targeted skills, and therapeutic outcomes. Methods Comprehensive database searches, including Web of Science, PubMed, and COCHRANE, were conducted from September 2019 to January 2023, yielding 514 unique records, with 33 making it through rigorous evaluation for full-text review. Eleven studies met the inclusion criteria, focusing on various psychiatric disorders such as depression, bipolar disorder, psychosis, and multiple serious mental illnesses. A total of 38 studies were included from our previous review to supplement the current database search. Results TPE programmes exhibited diversity in delivering agents and intervention formats, with a notable presence of multidisciplinary teams and various professionals. The interventions prioritized coping strategies and disease management techniques, though the extent varied based on the disorder. Effectiveness was heterogeneous across studies; some interventions showed significant benefits in areas such as symptom management, coping, and functional improvement, while others reported no significant outcomes. Conclusion The findings underscore the potential of TPE in psychiatric care, revealing its multifaceted nature and varied impact. TPE not only addresses deficits but also leverages patients' existing strengths and capabilities. Despite the reported benefits, a portion of the interventions lacked statistical significance, indicating the necessity for continuous refinement and evaluation.
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Affiliation(s)
- Ahmed Waqas
- Department of Primary Care & Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Jorge Cesar Correia
- Unit of Therapeutic Patient Education, WHO Collaborating Centre, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland
- Faculty Diabetes Centre, University of Geneva, Geneva, Switzerland
| | - Maaz Ahmad
- Sharif Medical and Dental College, Lahore, Pakistan
| | - Tooba Nadeem Akhtar
- School of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity Centre for Global Health, Trinity College Dublin, Dublin, Ireland
| | - Hafsa Meraj
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Ioannis Angelakis
- Department of Primary Care & Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Zoltan Pataky
- Unit of Therapeutic Patient Education, WHO Collaborating Centre, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland
- Faculty Diabetes Centre, University of Geneva, Geneva, Switzerland
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Renes JW, Metz MJ, Nolen WA, Hoogendoorn AW, Kupka RW, Regeer EJ. Shared decision-making in the treatment of bipolar disorder: findings from a nationwide naturalistic cohort study in everyday clinical practice. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02761-8. [PMID: 39377952 DOI: 10.1007/s00127-024-02761-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/28/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Shared decision-making (SDM) is of increasing importance in mental health care, however, large studies on the effects of SDM in bipolar disorder (BD) are scarce. AIM To gain insight into the relationships between SDM, guideline concordance of treatments in everyday practice, satisfaction with care, and medication adherence in BD. METHOD In a nationwide observational study on the treatment of BD, patients were asked questions about their involvement in treatment. These questions were clustered according to the three-talk model (TTM) for SDM, which involves team talk, option talk, and decision talk. A composite concordance score for multimodal treatments was made, and satisfaction with care (score 1 to 10) and medication adherence (DAI-10) were measured. RESULTS 839 patients with BD from various outpatient treatment centers were included. Patients were highly involved in decision-making. In multiple regression, team talk was significantly positively associated with guideline concordance (b = 5.10, p = .045), and decision talk was positively associated with satisfaction with care (b = 0.82, p < .001) and medication adherence (b = 1.18, p = .003). CONCLUSION Positive associations were found between SDM, guideline concordance, satisfaction with care, and medication adherence, suggesting that investing in these steps of the decision-making process together with patients and their significant others, will help to improve quality of care.
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Affiliation(s)
- Joannes W Renes
- Altrecht Institute for Mental Health Care, Utrecht, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands.
| | - Margot J Metz
- GGz Breburg, Postbus 770, Tilburg, 5000 AT, The Netherlands
- Tranzo, Scientific Center for Care and Wellbeing, Tilburg School of Social and Behavioral Sciences, Tilburg University, Postbus 90153, Tilburg, 5000 LE, The Netherlands
| | - Willem A Nolen
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands
| | - Adriaan W Hoogendoorn
- Department of Psychiatry & Amsterdam Public Health Research Institute, Amsterdam University Medical Center / Vrije Universiteit, Oldenaller 1, Amsterdam, 1081 HJ, The Netherlands
| | - Ralph W Kupka
- Altrecht Institute for Mental Health Care, Utrecht, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands
- Department of Psychiatry & Amsterdam Public Health Research Institute, Amsterdam University Medical Center / Vrije Universiteit, Oldenaller 1, Amsterdam, 1081 HJ, The Netherlands
- GGZ inGeest Specialized Mental Health Care, Amstelveenseweg 589, Amsterdam, 1081 JC, The Netherlands
| | - Eline J Regeer
- Altrecht Institute for Mental Health Care, Utrecht, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands
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Smith AM, Prom MC, Ng LC. A Qualitative Investigation of Characteristics Impacting Clinical Decision-Making in Integrated Behavioral Health Care. J Behav Health Serv Res 2024; 51:561-587. [PMID: 38982024 PMCID: PMC11445319 DOI: 10.1007/s11414-024-09891-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2024] [Indexed: 07/11/2024]
Abstract
To support implementation of integrated behavioral health care (IBHC) models in local settings, providers may benefit from clinical decision-making support. The present analysis examines perspectives on patient characteristics appropriate or inappropriate for, and currently managed within, IBHC at a large medical center to inform recommendations for provider decision-making. Twenty-four participants (n = 13 primary care providers; n = 6 behavioral health providers; n = 5 administrators) in an IBHC setting were interviewed. Thematic analysis was conducted with acceptable interrater reliability (κ = 0.75). Responses indicated behavioral health symptom and patient characteristics that impact perceptions of appropriateness for management in IBHC, with high variability between providers. Many patients with characteristics identified as inappropriate for IBHC were nonetheless currently managed in IBHC. Interactions between patient ability to engage in care and provider ability to manage patient needs guided decisions to refer a patient to IBHC or specialty care. A heuristic representing this dimensional approach to clinical decision-making is presented to suggest provider decision-making guidance informed by both patient and provider ability.
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Affiliation(s)
- Ash M Smith
- Boston Medical Center, 720 Harrison Ave, Boston, MA, 02118, USA
- Psychology Department, The Graduate Center, City University of New York, New York, NY, USA
| | - Maria C Prom
- Boston Medical Center, 720 Harrison Ave, Boston, MA, 02118, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Lauren C Ng
- Boston Medical Center, 720 Harrison Ave, Boston, MA, 02118, USA.
- Psychiatry Department, Boston University School of Medicine, Boston, MA, USA.
- Department of Psychology, University of California Los Angeles, Psychology Building 1285, Box 951563, Los Angeles, CA, 90095, USA.
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Miller CJ, Bailey HM, Abel EA, Burgess CM, Connolly SL, Franz A, Smith E, Bauer MS. Efficacy of life goals collaborative care for bipolar disorder: A systematic review. J Affect Disord 2024; 359:356-363. [PMID: 38754598 DOI: 10.1016/j.jad.2024.05.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 04/17/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Bipolar disorder remains a disabling mental health condition despite the availability of effective treatments. Collaborative chronic care models (CCMs) represent an evidence-based way to structure care for conditions like bipolar disorder. Life Goals Collaborative Care (LGCC) was designed specifically for bipolar disorder, featuring psychoeducation alongside collaborative components (e.g. nurse care management or expert psychiatric consultation). Despite the use of Life Goals across health systems, a systematic review summarizing its effectiveness has never been conducted. METHODS We conducted a systematic review of randomized controlled trials (RCTs) of LGCC through December 2023 to help guide the field in treating bipolar disorder (PROSPERO: #404581). We evaluated study quality and outcomes in several symptom and quality of life domains. RESULTS Ten articles describing eight studies met inclusion criteria. All studies featured group-based LGCC; most were compared to treatment as usual (TAU). Three of eight studies found LGCC to be associated with statistically significant effects for the prevention of manic episodes. Most studies finding positive effects featured additional collaborative care components beyond psychoeducation and were conducted in capitated healthcare systems. LIMITATIONS Limitations include: several types of potential bias in included studies; exclusion of observational studies of LGCC; lack of generalizability to pediatric populations; insufficient studies to conduct subgroup analyses; and low confidence in the quality of the evidence. CONCLUSIONS In this systematic review, group-based LGCC demonstrated some positive effects for reducing mania recurrence; results for other outcome domains were equivocal. Future studies should investigate one-on-one LGCC, both in person and virtually, to enhance well-being for people with bipolar disorder.
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Affiliation(s)
- Christopher J Miller
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA; National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA.
| | - Hannah M Bailey
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA
| | - Erica A Abel
- National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Claire M Burgess
- Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA; National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; Department of Mental Health, VA Boston Healthcare System, Boston, MA, USA
| | - Samantha L Connolly
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA
| | - Aleda Franz
- National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Eric Smith
- VA Bedford Healthcare System, Bedford, MA, USA; Departments of Psychiatry and Population and Quantitative Health Sciences, U Mass Chan Medical School, Worcester, MA, USA
| | - Mark S Bauer
- Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA
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Reilly S, Hobson-Merrett C, Gibbons B, Jones B, Richards D, Plappert H, Gibson J, Green M, Gask L, Huxley PJ, Druss BG, Planner CL. Collaborative care approaches for people with severe mental illness. Cochrane Database Syst Rev 2024; 5:CD009531. [PMID: 38712709 PMCID: PMC11075124 DOI: 10.1002/14651858.cd009531.pub3] [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] [Indexed: 05/08/2024]
Abstract
BACKGROUND Collaborative care for severe mental illness (SMI) is a community-based intervention that promotes interdisciplinary working across primary and secondary care. Collaborative care interventions aim to improve the physical and/or mental health care of individuals with SMI. This is an update of a 2013 Cochrane review, based on new searches of the literature, which includes an additional seven studies. OBJECTIVES To assess the effectiveness of collaborative care approaches in comparison with standard care (or other non-collaborative care interventions) for people with diagnoses of SMI who are living in the community. SEARCH METHODS We searched the Cochrane Schizophrenia Study-Based Register of Trials (10 February 2021). We searched the Cochrane Common Mental Disorders (CCMD) controlled trials register (all available years to 6 June 2016). Subsequent searches on Ovid MEDLINE, Embase and PsycINFO together with the Cochrane Central Register of Controlled Trials (with an overlap) were run on 17 December 2021. SELECTION CRITERIA Randomised controlled trials (RCTs) where interventions described as 'collaborative care' were compared with 'standard care' for adults (18+ years) living in the community with a diagnosis of SMI. SMI was defined as schizophrenia, other types of schizophrenia-like psychosis or bipolar affective disorder. The primary outcomes of interest were: quality of life, mental state and psychiatric admissions at 12 months follow-up. DATA COLLECTION AND ANALYSIS Pairs of authors independently extracted data. We assessed the quality and certainty of the evidence using RoB 2 (for the primary outcomes) and GRADE. We compared treatment effects between collaborative care and standard care. We divided outcomes into short-term (up to six months), medium-term (seven to 12 months) and long-term (over 12 months). For dichotomous data we calculated the risk ratio (RR) and for continuous data we calculated the standardised mean difference (SMD), with 95% confidence intervals (CIs). We used random-effects meta-analyses due to substantial levels of heterogeneity across trials. We created a summary of findings table using GRADEpro. MAIN RESULTS Eight RCTs (1165 participants) are included in this review. Two met the criteria for type A collaborative care (intervention comprised of the four core components). The remaining six met the criteria for type B (described as collaborative care by the trialists, but not comprised of the four core components). The composition and purpose of the interventions varied across studies. For most outcomes there was low- or very low-certainty evidence. We found three studies that assessed the quality of life of participants at 12 months. Quality of life was measured using the SF-12 and the WHOQOL-BREF and the mean endpoint mental health component scores were reported at 12 months. Very low-certainty evidence did not show a difference in quality of life (mental health domain) between collaborative care and standard care in the medium term (at 12 months) (SMD 0.03, 95% CI -0.26 to 0.32; 3 RCTs, 227 participants). Very low-certainty evidence did not show a difference in quality of life (physical health domain) between collaborative care and standard care in the medium term (at 12 months) (SMD 0.08, 95% CI -0.18 to 0.33; 3 RCTs, 237 participants). Furthermore, in the medium term (at 12 months) low-certainty evidence did not show a difference between collaborative care and standard care in mental state (binary) (RR 0.99, 95% CI 0.77 to 1.28; 1 RCT, 253 participants) or in the risk of being admitted to a psychiatric hospital at 12 months (RR 5.15, 95% CI 0.67 to 39.57; 1 RCT, 253 participants). One study indicated an improvement in disability (proxy for social functioning) at 12 months in the collaborative care arm compared to usual care (RR 1.38, 95% CI 0.97 to 1.95; 1 RCT, 253 participants); we deemed this low-certainty evidence. Personal recovery and satisfaction/experience of care outcomes were not reported in any of the included studies. The data from one study indicated that the collaborative care treatment was more expensive than standard care (mean difference (MD) international dollars (Int$) 493.00, 95% CI 345.41 to 640.59) in the short term. Another study found the collaborative care intervention to be slightly less expensive at three years. AUTHORS' CONCLUSIONS This review does not provide evidence to indicate that collaborative care is more effective than standard care in the medium term (at 12 months) in relation to our primary outcomes (quality of life, mental state and psychiatric admissions). The evidence would be improved by better reporting, higher-quality RCTs and the assessment of underlying mechanisms of collaborative care. We advise caution in utilising the information in this review to assess the effectiveness of collaborative care.
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Affiliation(s)
- Siobhan Reilly
- Centre for Applied Dementia Studies, Faculty of Health Studies, University of Bradford, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
- Division of Health Research, Lancaster University, Lancaster, UK
| | - Charley Hobson-Merrett
- Primary Care Plymouth, University of Plymouth, Plymouth, UK
- National Institute for Health Research Applied Research Collaboration South West Peninsula, Plymouth, UK
| | | | - Ben Jones
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Debra Richards
- Primary Care Plymouth, University of Plymouth, Plymouth, UK
| | - Humera Plappert
- Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK
| | | | - Maria Green
- Pennine Health Care NHS Foundation Trust, Bury, UK
| | - Linda Gask
- Health Sciences Research Group, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Peter J Huxley
- Centre for Mental Health and Society, School of Health Sciences, Bangor University, Bangor, UK
| | - Benjamin G Druss
- Department of Health Policy and Management, Emory University, Atlanta, USA
| | - Claire L Planner
- Centre for Primary Care and Health Services Research, University of Manchester, Manchester, UK
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Levrat V, Favre S, Richard-Lepouriel H. Current practices of psychoeducation interventions with persons with bipolar disorders: a literature review. Front Psychiatry 2024; 14:1320654. [PMID: 38250257 PMCID: PMC10797008 DOI: 10.3389/fpsyt.2023.1320654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
This review sought to summarize the literature on current practices and forms of psychoeducation in the management of patients with bipolar disorder (BD), including only randomized controlled trials to ensure the best level of evidence. An extensive review of the available literature was conducted using PubMed/MEDLINE, Embase, and PsychInfo databases from inception to April 28th, 2022. The search yielded 381 studies. Seventy articles were included after removing duplicates and applying the inclusion/exclusion criteria. A best-evidence synthesis was used to identify the key results of each study and summarize the outcomes. Eleven descriptive categories were made. They encompass different forms of psychoeducation compared or combined with other psychosocial interventions, varying in setting (individual or group), with or without family members, structured or unstructured, mediated or not by digital tools (smartphone, internet). Globally, these studies show that psychoeducation is important in the treatment of BD, as it leads to a decrease in relapses, mood episodes, hospitalizations, and improved functioning or quality of life. Some studies also showed the benefits of psychoeducation on the patient's level of knowledge of pharmacological treatment and the disorder or compliance with medication, as well as reduced self-stigma. The limitations of this review are linked to the selection of only RCTs and the reliance on their post-hoc analyses. This review confirms the benefit of psychoeducation and psychosocial interventions on the evolution of BD (in different outcomes, including quality of life, relapse, and rehospitalization rates, for example). More recent interventions, such as mindfulness or online psychoeducation, represent an interesting option but more evidence is needed.
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Affiliation(s)
- Vanessa Levrat
- Mood Disorder and Anxiety Unit, Psychiatric Specialties Service, Geneva University Hospital, Geneva, Switzerland
| | - Sophie Favre
- Mood Disorder and Anxiety Unit, Psychiatric Specialties Service, Geneva University Hospital, Geneva, Switzerland
| | - Hélène Richard-Lepouriel
- Mood Disorder and Anxiety Unit, Psychiatric Specialties Service, Geneva University Hospital, Geneva, Switzerland
- Department of Psychiatry, University of Geneva, Geneva, Switzerland
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Validation of the Longitudinal Interval Follow-Up Evaluation for the Long-Term Measurement of Mood Symptoms in Bipolar Disorder. Brain Sci 2022; 12:brainsci12121717. [PMID: 36552176 PMCID: PMC9776034 DOI: 10.3390/brainsci12121717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022] Open
Abstract
The long-term burden of symptoms is an important outcome in bipolar disorder (BD). A method which has minimal burden of assessment uses a retrospective interview, the Longitudinal Interval Follow-up Examination (LIFE), although this may be subject to problems with recall. This study examines the relationship between the retrospective LIFE scale and concurrently-rated mood rating scales in two clinical trials of 18 months of psychotherapy for patients with BD. The Montgomery-Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were administered every eight to nine weeks and the LIFE was carried out every 6 months. Correlations between scores on mood rating scales and at equivalent times on the LIFE were examined, as well as of potential clinical moderators. There were significant correlations between LIFE depression ratings and concurrent MADRS score (r = 0.57) and between LIFE mania ratings and YMRS score (r = 0.40). In determining "mild depression" on the MADRS, a receiver operating characteristics (ROC) analysis showed an AUC of 0.78 for LIFE scores. Correlations, particularly for depression scores, were high even when the LIFE rating was several months before the interview, suggesting that the LIFE has validity in examining the burden of mood symptoms over time, with relatively little burden of assessment. Future research should examine the relationship between symptom burden and quality of life measured in this way.
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Hoeft TJ, Hall JD, Solberg LI, Takamine LH, Danna MN, Fortney JC, Shushan S, Cohen DJ. Clinician Experiences With Telepsychiatry Collaborative Care for Posttraumatic Stress Disorder and Bipolar Disorder. Psychiatr Serv 2022:appips202100595. [PMID: 36444528 DOI: 10.1176/appi.ps.202100595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Posttraumatic stress disorder (PTSD) and bipolar disorder are common in primary care. Evidence supports collaborative care in primary care settings to treat depression and anxiety, and recent studies have evaluated its effectiveness in treating complex conditions such as PTSD and bipolar disorder. This study aimed to examine how primary care clinicians experience collaborative care for patients with these more complex psychiatric disorders. METHODS The authors conducted semistructured interviews with 22 primary care clinicians participating in a pragmatic trial that included telepsychiatry collaborative care (TCC) to treat patients with PTSD or bipolar disorder in rural or underserved areas. Analysis utilized a constant comparative method to identify recurring themes. RESULTS Clinicians reported that TCC improved their confidence in managing medications for patients with PTSD or bipolar disorder and supported their ongoing learning and skill development. Clinicians also reported improvements in patient engagement in care. Care managers were crucial to realizing these benefits by fostering communication within the clinical team while engaging patients through regular outreach. Clinicians valued TCC because it included and supported them in improving the care of patients' mental health conditions, which opened opportunities for clinicians to enhance care and address co-occurring general medical conditions. Overall, benefits of the TCC model outweighed its minimal burdens. CONCLUSIONS Clinicians found that TCC supported their care of patients with PTSD or bipolar disorder. This approach has the potential to extend the reach of specialty mental health care and to support primary care clinicians treating patients with these more complex psychiatric disorders.
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Affiliation(s)
- Theresa J Hoeft
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Jennifer D Hall
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Leif I Solberg
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Linda H Takamine
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Maria N Danna
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - John C Fortney
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Stephanie Shushan
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
| | - Deborah J Cohen
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Hoeft, Fortney); Department of Family Medicine, Oregon Health & Science University, Portland (Hall, Danna, Cohen); HealthPartners Institute, Bloomington, Minnesota (Solberg); Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor (Takamine); Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound Health Care System, Seattle (Fortney); Community Health Plan of Washington, Seattle (Shushan)
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9
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LaRocco-Cockburn A, Jakupcak M, Bauer AM, Bowen DJ, Bechtel J, Koconis N, Fortney JC. Care managers' experiences in a collaborative care program for the treatment of bipolar disorder and PTSD in underserved communities. Gen Hosp Psychiatry 2022; 76:16-24. [PMID: 35313202 DOI: 10.1016/j.genhosppsych.2022.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 02/17/2022] [Accepted: 03/03/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES To understand care managers' experiences treating primary care patients with bipolar disorder and PTSD in a telepsychiatry collaborative care (TCC) program, as part of a large pragmatic trial. METHODS We conducted individual qualitative interviews with 12 care managers to evaluate barriers and facilitators to implementation of a previously completed TCC intervention for patients with bipolar disorder and/or PTSD. We used directed and conventional content analysis and Consolidated Framework for Implementation Research (CFIR) constructs to organize care manager experiences. RESULTS Participants described clinical and medication management support from telepsychiatrists and satisfaction with the TCC model as facilitators of success for patients with bipolar disorder and PTSD in underserved communities. Participants also described onboarding of primary care providers and clinic leadership as keys to successful team-care and credited satisfaction with providing Behavioral Activation as essential to sustained delivery of the psychotherapy component of TCC. CONCLUSIONS Participants described high satisfaction with TCC for patients with bipolar disorder and PTSD. Challenges included lack of clinic leadership and PCP engagement. Early and ongoing promotion of integrated care and prioritizing telepsychiatry consultation with patients, behavioral health professionals and PCPs, may improve patient care, provide ongoing training and improve workforce satisfaction.
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Affiliation(s)
- Anna LaRocco-Cockburn
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America; LaRocco Counseling, PLLC, 2366 Eastlake Ave E, Suite 234, Seattle, WA 98102, United States of America.
| | - Matthew Jakupcak
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America; Lyra Health, 287 Lorton Ave, Burlingame, CA 94010, United States of America.
| | - Amy M Bauer
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America.
| | - Deborah J Bowen
- Department of Bioethics and Humanities, University of Washington, Box 357120, Seattle, WA, United States of America.
| | - Jared Bechtel
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America.
| | - Natalie Koconis
- University of Washington, Institute for Public Health Genetics, in association with the Department of Psychiatry and Behavioral Sciences, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America.
| | - John C Fortney
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA 98195-6560, United States of America; Department of Veterans Affairs, HSR&D Center of Innovation for Veteran-Centered and Values-Driven Care, VA Puget Sound Health Care System, Seattle, WA, United States of America.
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10
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Lim CT, Caan MP, Kim CH, Chow CM, Leff HS, Tepper MC. Care Management for Serious Mental Illness: A Systematic Review and Meta-Analysis. Psychiatr Serv 2022; 73:180-187. [PMID: 34253036 DOI: 10.1176/appi.ps.202000473] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Persons with serious mental illness face adverse psychiatric and medical outcomes, and their care is associated with a large burden of health care costs. Care management, in which assessment, care planning, and care coordination are provided, is a common model of support, yet the evidence supporting its use among psychiatric populations is mixed. A systematic review and a meta-analysis were undertaken to determine the impact of care management on clinical outcomes, acute care utilization, cost, and satisfaction among adults with serious mental illness. METHODS A multidatabase literature search was performed. Articles were included if they compared standard outpatient care plus care management with standard outpatient care alone for adults with serious mental illness and reported on one or more predefined outcomes. Randomized controlled trials (RCTs) and other study designs were permitted for inclusion in the systematic review. The meta-analysis included only RCTs. RESULTS For the systematic review, 34 articles representing 28 unique studies were included. Fifteen of these articles, representing 12 unique studies, were included in the meta-analysis, which indicated that care management was associated with small, statistically significant improvements in psychiatric symptoms, overall quality of life (QOL), and mental QOL (Hedges' g range 0.13-0.26). In addition, care management was associated with a small, statistically significant reduction in inpatient psychiatric hospital days (Hedges' g=0.16, p=0.02). CONCLUSIONS Care management is associated with fewer psychiatric symptoms and greater QOL for persons with serious mental illness. Further work is needed to determine which components of the intervention are associated with effectiveness.
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Affiliation(s)
- Christopher T Lim
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
| | - Marissa P Caan
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
| | - Clara H Kim
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
| | - Clifton M Chow
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
| | - H Stephen Leff
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
| | - Miriam C Tepper
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston
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11
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The influence of childhood trauma on the treatment outcomes of pharmacological and/or psychological interventions for adolescents and adults with bipolar disorder: A systematic review and meta-analysis. J Affect Disord 2022; 296:350-362. [PMID: 34606813 DOI: 10.1016/j.jad.2021.09.103] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/03/2021] [Accepted: 09/26/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE The influence of childhood trauma on the treatment outcomes of pharmacological and/or psychological interventions for adolescents and adults with bipolar disorder was systematically reviewed. METHODS Randomised and non-randomised studies of interventions for bipolar disorder that included an assessment of childhood trauma were eligible. MEDLINE Complete, Embase, PsycINFO, and the Cochrane Central Register of Controlled Trials were searched. Two independent reviewers completed the screening and extraction process. Two independent reviewers assessed the risk of bias in the included studies using the Cochrane Collaboration's Risk of Bias tool and the Newcastle-Ottawa Scale. Alongside a narrative synthesis, random-effects meta-analyses were performed. RESULTS Twelve studies (1175 participants) were included. The narrative review highlighted differential treatment outcomes among individuals with a history of childhood trauma. The meta-analyses suggested that childhood trauma was unrelated to treatment response (five studies, 426 participants; odds ratio 0.58, 95% CI 0.27-1.25, p = .164) but may be associated with greater improvement in global functioning (three studies, 210 participants; Hedge's g 0.65, 95% CI 0.04-1.26, p = .037). LIMITATIONS The impact of childhood trauma on the effectiveness of specific pharmacological/psychological interventions could not be explored due to the small body of research identified. CONCLUSION The overall quality of the extant evidence is low, which precludes definitive comment on the role of childhood trauma in the treatment of bipolar disorder. Additional research that uses large and representative samples is required to ascertain whether a history of childhood trauma affects the treatment outcomes of interventions for individuals with bipolar disorder.
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12
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Hack SM, Muralidharan A, Abraham CR. Between and within race differences in patient-centeredness and activation in mental health care. PATIENT EDUCATION AND COUNSELING 2022; 105:206-211. [PMID: 34045090 DOI: 10.1016/j.pec.2021.05.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/30/2021] [Accepted: 05/05/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES The aim of this study was to compare Black and White mental health care patients' perceptions of their providers' and their own participation in patient-centered mental health care. Perceptions of patient-centered care (PCC) in relation to the Multidimensional Model of Racial Identity were explored. METHODS Black and White veterans receiving mental health care (n = 82) completed surveys assessing patient activation, involvement in care, perceptions of PCC, and therapeutic alliance. Black participants (n = 40) also completed the Multidimensional Inventory of Black Identity. RESULTS There were no differences by race in perceived PCC, though Black participants had lower levels of therapeutic alliance with their mental health care provider and were less activated. Black identity centrality, private regard, and public regard were positively related to PCC and elements of PCC such as patient information seeking/sharing. CONCLUSIONS Intragroup identity variables such as racial centrality, regard, and ideology influenced perceived PCC among Black participants. Race identity variables should be explored in future research on racial disparities and PCC. PRACTICE IMPLICATIONS Mental health care providers serving Black patients should create opportunities to discuss racial identity and race-related experiences as part of their efforts to improve therapeutic alliance and increase the patient-centeredness of care.
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Affiliation(s)
- Samantha M Hack
- Veterans Affairs VISN 5 Mental Illness Research, Education, and Clinical Center, Baltimore, USA; School of Social Work, University of Maryland-Baltimore, Baltimore, USA.
| | - Anjana Muralidharan
- Veterans Affairs VISN 5 Mental Illness Research, Education, and Clinical Center, Baltimore, USA; Department of Psychiatry, University of Maryland-Baltimore, Baltimore, USA
| | - Carol R Abraham
- College of Arts and Sciences, University of Baltimore, Baltimore, USA
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13
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Howland M, Chang D, Ratzliff A, Palm-Cruz K. C-L Case Conference: Chronic Psychosis Managed in Collaborative Care. J Acad Consult Liaison Psychiatry 2021; 63:189-197. [PMID: 34902599 DOI: 10.1016/j.jaclp.2021.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 11/29/2021] [Accepted: 12/05/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Molly Howland
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA.
| | - Denise Chang
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA
| | - Anna Ratzliff
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA
| | - Katherine Palm-Cruz
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA
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14
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ÖZDEL K, KART A, TÜRKÇAPAR MH. Cognitive Behavioral Therapy in Treatment of Bipolar Disorder. Noro Psikiyatr Ars 2021; 58:S66-S76. [PMID: 34658638 PMCID: PMC8498810 DOI: 10.29399/npa.27419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 05/23/2021] [Indexed: 11/21/2022] Open
Abstract
Biological underpinnings (i.e., "bio" of bio-psycho-social approach) of Bipolar Disorder (BD) comes to the forefront when addressing its etiology and treatment. However, it is a condition that is challenging to manage with medication, and often the medication alone is insufficient since the symptoms of the disease have different episode characteristics. When the prevalence and inefficacy of drug treatments are considered together, the cruciality of psychosocial interventions in the treatment of the is undeniable. Moreover, treatment non-compliance is another problem that needs to be addressed psychosocially. Cognitive Behavioral Therapy (CBT) has its unique place among psychosocial interventions with numerous features such as being empirical and flexible, and it is recommended as an evidence-based adjuvant therapy in all stages of the disorder except acute mania. In this review, we discuss how CBT is used in specific domains of the disorder, following a general outlook on the evidence for CBT in BD. We focused on the essentials of psychotherapy practice with a pragmatic approach from the CBT point of view.
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Affiliation(s)
- Kadir ÖZDEL
- University of Health Science, Diskapi Yildirim Beyazit, Teaching and Research Hospital, Department of Psychiatry, Ankara, Turkey
| | - Ayşegül KART
- Bakırköy Mental Health and Neurological Diseases Education and Research Hospital, Department of Psychiatry, İstanbul, Turkey
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15
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Faurholt-Jepsen M, Lindbjerg Tønning M, Fros M, Martiny K, Tuxen N, Rosenberg N, Busk J, Winther O, Thaysen-Petersen D, Aamund KA, Tolderlund L, Bardram JE, Kessing LV. Reducing the rate of psychiatric re-admissions in bipolar disorder using smartphones-The RADMIS trial. Acta Psychiatr Scand 2021; 143:453-465. [PMID: 33354769 DOI: 10.1111/acps.13274] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/16/2020] [Accepted: 12/20/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVES The MONARCA I and II trials were negative but suggested that smartphone-based monitoring may increase quality of life and reduce perceived stress in bipolar disorder (BD). The present trial was the first to investigate the effect of smartphone-based monitoring on the rate and duration of readmissions in BD. METHODS This was a randomized controlled single-blind parallel-group trial. Patients with BD (ICD-10) discharged from hospitalization in the Mental Health Services, Capital Region of Denmark were randomized 1:1 to daily smartphone-based monitoring including a feedback loop (+ standard treatment) or to standard treatment for 6 months. Primary outcomes: the rate and duration of psychiatric readmissions. RESULTS We included 98 patients with BD. In ITT analyses, there was no statistically significant difference in rates (hazard rate: 1.05, 95% CI: 0.54; 1.91, p = 0.88) or duration of readmission between the two groups (B: 3.67, 95% CI: -4.77; 12.11, p = 0.39). There was no difference in scores on the Hamilton Depression Rating Scale (B = -0.11, 95% CI: -2.50; 2.29, p = 0.93). The intervention group had higher scores on the Young Mania Rating Scale (B: 1.89, 95% CI: 0.0078; 3.78, p = 0.050). The intervention group reported lower levels of perceived stress (B: -7.18, 95% CI: -13.50; -0.86, p = 0.026) and lower levels of rumination (B: -6.09, 95% CI: -11.19; -1.00, p = 0.019). CONCLUSIONS Smartphone-based monitoring did not reduce rate and duration of readmissions. There was no difference in levels of depressive symptoms. The intervention group had higher levels of manic symptoms, but lower perceived stress and rumination compared with the control group.
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Affiliation(s)
- Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Morten Lindbjerg Tønning
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | | | - Klaus Martiny
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Nanna Tuxen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Nicole Rosenberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Jonas Busk
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
| | - Ole Winther
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.,Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.,Centre for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | | | - Jakob Eyvind Bardram
- Monsenso Aps, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
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16
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Reverse Integration Pilot in a Public Safety-Net Hospital's Outpatient Behavioral Health Clinic. Community Ment Health J 2021; 57:262-267. [PMID: 32448933 DOI: 10.1007/s10597-020-00643-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 05/18/2020] [Indexed: 10/24/2022]
Abstract
Individuals with severe mental illness are at a higher risk for medical illness and premature death and yet receive poorer quality healthcare. Often mental healthcare is the only care this population receives, thus models of integration are being explored. This study examined medical outcomes and care utilization patterns among patients at an outpatient behavioral health center where primary care was integrated with psychiatric and behavioral healthcare. A retrospective chart review of patients seen at the clinic both for mental and primary healthcare was performed and 147 patients were monitored over the course of one year. While medical outcome changes were not significant in the year after enrollment, primary care visits did increase, and emergency department visits decreased over the year analyzed. Decreased emergency department visits and increased attendance at primary care visits suggests this model of integration allows patients access to continuity of care and primary care services.
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17
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Kraiss JT, Wijnen B, Kupka RW, Bohlmeijer ET, Lokkerbol J. Economic evaluations of non-pharmacological interventions and cost-of-illness studies in bipolar disorder: A systematic review. J Affect Disord 2020; 276:388-401. [PMID: 32871669 DOI: 10.1016/j.jad.2020.06.064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 05/16/2020] [Accepted: 06/14/2020] [Indexed: 11/25/2022]
Abstract
Background Bipolar disorder (BD) is associated with substantial societal burden. Therefore, economic studies in BD are becoming increasingly important. The goal of the current study is three-fold: (1) summarize the evidence regarding economic evaluations (EEs) of non-pharmacological interventions for BD, (2) summarize cost-of-illness studies (COIs) for BD published 2012 or later and (3) assess the quality of the identified studies. Methods A systematic search was conducted in MedLine, EMBASE and PsycINFO. For both EEs and COIs, quality assessments were conducted and general and methodological characteristics of the studies were extracted. Outcomes included incremental-cost-effectiveness ratios for EEs and direct and indirect costs for COIs. Results Eight EEs and ten COIs were identified. The included studies revealed high heterogeneity in general and methodological characteristics and study quality. All interventions resulted in improved clinical outcomes. Five studies additionally concluded decreased total costs. For COIs, we found a wide range of direct ($881-$27,617) and indirect cost estimates per capita per year ($1,568-$116,062). Limitations High heterogeneity in terms of interventions, study design and outcomes made it difficult to compare results across studies. Conclusions Interventions improved clinical outcomes in all studies and led to cost-savings in five studies. Findings suggest that non-pharmacological intervention for BD might be cost-effective. Studies on the costs of BD revealed that BD has a substantial economic burden. However, we also found that the number of EEs was relatively low and methodology was heterogenous and therefore encourage future research to widen the body of knowledge in this research field and use standardized methodology.
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Affiliation(s)
- Jannis T Kraiss
- Center for eHealth and Well-being Research, Department of Psychology, Health, and Technology, University of Twente, PO Box 217, 7500 AE, Enschede, Netherlands.
| | - Ben Wijnen
- Center for Economic Evaluation and Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, Netherlands; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, Netherlands.
| | - Ralph W Kupka
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Netherlands.
| | - Ernst T Bohlmeijer
- Center for eHealth and Well-being Research, Department of Psychology, Health, and Technology, University of Twente, PO Box 217, 7500 AE, Enschede, Netherlands.
| | - Joran Lokkerbol
- Center for Economic Evaluation and Machine Learning, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, Netherlands.
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18
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Smith SN, Liebrecht CM, Bauer MS, Kilbourne AM. Comparative effectiveness of external vs blended facilitation on collaborative care model implementation in slow-implementer community practices. Health Serv Res 2020; 55:954-965. [PMID: 33125166 DOI: 10.1111/1475-6773.13583] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To evaluate the comparative effectiveness of external facilitation (EF) vs external + internal facilitation (EF/IF), on uptake of a collaborative chronic care model (CCM) in community practices that were slower to implement under low-level implementation support. STUDY SETTING Primary data were collected from 43 community practices in Michigan and Colorado at baseline and for 12 months following randomization. STUDY DESIGN Sites that failed to meet a pre-established implementation benchmark after six months of low-level implementation support were randomized to add either EF or EF/IF support for up to 12 months. Key outcomes were change in number of patients receiving the CCM and number of patients receiving a clinically significant dose of the CCM. Moderators' analyses further examined whether comparative effectiveness was dependent on prerandomization adoption, number of providers trained or practice size. Facilitation log data were used for exploratory follow-up analyses. DATA COLLECTION Sites reported monthly on number of patients that had received the CCM. Facilitation logs were completed by study EF and site IFs and shared with the study team. PRINCIPAL FINDINGS N = 21 sites were randomized to EF and 22 to EF/IF. Overall, EF/IF practices saw more uptake than EF sites after 12 months (ΔEF/IF-EF = 4.4 patients, 95% CI = 1.87-6.87). Moderators' analyses, however, revealed that it was only sites with no prerandomization uptake of the CCM (nonadopter sites) that saw significantly more benefit from EF/IF (ΔEF/IF-EF = 9.2 patients, 95% CI: 5.72, 12.63). For sites with prerandomization uptake (adopter sites), EF/IF offered no additional benefit (ΔEF/IF-EF = -0.9; 95% CI: -4.40, 2.60). Number of providers trained and practice size were not significant moderators. CONCLUSIONS Although stepping up to the more intensive EF/IF did outperform EF overall, its benefit was limited to sites that failed to deliver any CCM under the low-level strategy. Once one or more providers were delivering the CCM, additional on-site personnel did not appear to add value to the implementation effort.
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Affiliation(s)
- Shawna N Smith
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.,Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Celeste M Liebrecht
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Mark S Bauer
- Center for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Amy M Kilbourne
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Quality Enhancement Research Initiative, U.S. Department of Veterans Affairs, Washington, District of Columbia, USA
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19
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A prospective longitudinal study searching for predictors of response to group psychoeducation in bipolar disorder. J Affect Disord 2020; 274:1113-1121. [PMID: 32663939 DOI: 10.1016/j.jad.2020.02.047] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 02/10/2020] [Accepted: 02/27/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND The efficacy of adjunctive group psychoeducation in bipolar disorder has been proven although treatment response differ among individuals. The aim of this study was to characterize responders and non-responders to group psychoeducation in order to identify baseline variables that could predict treatment response. METHODS The sample was composed of 103 medicated euthymic patients with bipolar disorder referred to 21 sessions of group psychoeducation (6 months). Sociodemographic and clinical variables, temperament, circadian rhythms, BDNF, cognitive and psychosocial functioning were collected. At the 18-month endpoint, the patients were split in two groups on the basis of having suffered any recurrence. Significant group differences were included in a logistic regression analysis. RESULTS Ninety patients out of 103 engaged in group psychoeducation, 47 of whom (52.2%) responded to psychoeducation and 43 (47.8%) did not. Recurrences occurred more often in the follow-up, the most common being depression. Responders and non-responders differed in gender, age at diagnosis, latency of diagnosis, temperament, attention composite score and BDNF. Lower age at diagnosis of bipolar disorder, lower cyclothimic temperament scores and being male -which was associated with bipolar type I and a trend to more previous manic episodes- were significantly related to a better response to psychoeducation in the regression analysis. LIMITATIONS No control group. CONCLUSIONS This study identifies age at diagnosis as a significant modifiable risk factor of treatment response, highlighting the need for early identification of bipolar disorder. Existing programs should be adjusted to the characteristics of specific subpopulations in the framework of a personalized approach.
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20
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Valls È, Sánchez-Moreno J, Bonnín CM, Solé B, Prime-Tous M, Torres I, Brat M, Gavin P, Morilla I, Montejo L, Jiménez E, Varo C, Torrent C, Hidalgo-Mazzei D, Vieta E, Martínez-Arán A, Reinares M. Effects of an integrative approach to bipolar disorders combining psychoeducation, mindfulness-based cognitive therapy and functional remediation: Study protocol for a randomized controlled trial. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2020; 13:165-173. [DOI: 10.1016/j.rpsm.2020.05.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/09/2020] [Accepted: 05/16/2020] [Indexed: 01/28/2023]
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21
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Landry S, Provencher MD. Évaluation qualitative de l’implantation de groupes psychoéducatifs pour le trouble
bipolaire à Québec. SANTE MENTALE AU QUEBEC 2020. [DOI: 10.7202/1070240ar] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Le trouble bipolaire est une condition chronique ayant des conséquences tangibles
sur le fonctionnement et la qualité de vie des personnes atteintes. Des interventions
psychologiques reconnues efficaces, comme la psychoéducation, ont le potentiel de pallier
certaines lacunes observées lorsque la pharmacothérapie est utilisée comme seule modalité de
traitement. Toutefois, il semble que les personnes ayant un trouble bipolaire n’ont pas
facilement accès à ce type de programme fondé sur les données probantes. En effet, le
transfert des connaissances acquises dans la recherche vers le milieu clinique pose un défi.
Ainsi, au-delà de l’évaluation de l’efficacité des traitements en recherche, il est
nécessaire de considérer l’implantation de ces traitements dans la pratique clinique.
L’objectif de la présente étude est donc de décrire l’implantation d’un programme
psychoéducatif pour le traitement du trouble bipolaire, le Life Goals Program
(LGP), à l’intérieur de milieux cliniques québécois. Dix-sept groupes de
psychoéducation basés sur le LGP ont donc été offerts à l’intérieur de milieux cliniques
publics québécois. Les animateurs de ces groupes ont rempli des journaux de bord et
participé à une entrevue de groupe. Des analyses de contenu ont été réalisées pour
documenter la mise en place du LGP. L’analyse des données qualitatives a permis d’identifier
4 principaux domaines de facteurs qui pourraient être tributaires de la variabilité dans
l’implantation : les caractéristiques des intervenants, les caractéristiques des
participants, le contexte organisationnel et la facilitation. En particulier, les facteurs
déterminants dans les différences observées semblent être le soutien de l’équipe de
recherche, le roulement de personnel et la formation des intervenants.
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Affiliation(s)
| | - Martin D. Provencher
- Ph. D., Professeur titulaire, École de psychologie, Université Laval ; Chercheur
régulier, Centre de recherche sur les soins et les services de première ligne de
l’Université Laval et Centre de recherche CERVO
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22
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Faurholt-Jepsen M, Frost M, Christensen EM, Bardram JE, Vinberg M, Kessing LV. The effect of smartphone-based monitoring on illness activity in bipolar disorder: the MONARCA II randomized controlled single-blinded trial. Psychol Med 2020; 50:838-848. [PMID: 30944054 DOI: 10.1017/s0033291719000710] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Recently, the MONARCA I randomized controlled trial (RCT) was the first to investigate the effect of smartphone-based monitoring in bipolar disorder (BD). Findings suggested that smartphone-based monitoring sustained depressive but reduced manic symptoms. The present RCT investigated the effect of a new smartphone-based system on the severity of depressive and manic symptoms in BD. METHODS Randomized controlled single-blind parallel-group trial. Patients with BD, previously treated at The Copenhagen Clinic for Affective Disorder, Denmark and currently treated at community psychiatric centres, private psychiatrists or GPs were randomized to the use of a smartphone-based system or to standard treatment for 9 months. Primary outcomes: differences in depressive and manic symptoms between the groups. RESULTS A total of 129 patients with BD (ICD-10) were included. Intention-to-treat analyses showed no statistically significant effect of smartphone-based monitoring on depressive (B = 0.61, 95% CI -0.77 to 2.00, p = 0.38) and manic (B = -0.25, 95% CI -1.1 to 0.59, p = 0.56) symptoms. The intervention group reported higher quality of life and lower perceived stress compared with the control group. In sub-analyses, the intervention group had higher risk of depressive episodes, but lower risk of manic episodes compared with the control group. CONCLUSIONS There was no effect of smartphone-based monitoring. In patient-reported outcomes, patients in the intervention group reported improved quality of life and reduced perceived stress. Patients in the intervention group had higher risk of depressive episodes and reduced risk of manic episodes. Despite the widespread use and excitement of electronic monitoring, few studies have investigated possible effects. Further studies are needed.
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Affiliation(s)
- Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Mads Frost
- IT University of Copenhagen, Rued Langgaards Vej 7, 2300 Copenhagen, Denmark
| | - Ellen Margrethe Christensen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Jakob E Bardram
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
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Colizzi M, Lasalvia A, Ruggeri M. Prevention and early intervention in youth mental health: is it time for a multidisciplinary and trans-diagnostic model for care? Int J Ment Health Syst 2020; 14:23. [PMID: 32226481 PMCID: PMC7092613 DOI: 10.1186/s13033-020-00356-9] [Citation(s) in RCA: 214] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/16/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Similar to other health care sectors, mental health has moved towards the secondary prevention, with the effort to detect and treat mental disorders as early as possible. However, converging evidence sheds new light on the potential of primary preventive and promotion strategies for mental health of young people. We aimed to reappraise such evidence. METHODS We reviewed the current state of knowledge on delivering promotion and preventive interventions addressing youth mental health. RESULTS Half of all mental disorders start by 14 years and are usually preceded by non-specific psychosocial disturbances potentially evolving in any major mental disorder and accounting for 45% of the global burden of disease across the 0-25 age span. While some action has been taken to promote the implementation of services dedicated to young people, mental health needs during this critical period are still largely unmet. This urges redesigning preventive strategies in a youth-focused multidisciplinary and trans-diagnostic framework which might early modify possible psychopathological trajectories. CONCLUSIONS Evidence suggests that it would be unrealistic to consider promotion and prevention in mental health responsibility of mental health professionals alone. Integrated and multidisciplinary services are needed to increase the range of possible interventions and limit the risk of poor long-term outcome, with also potential benefits in terms of healthcare system costs. However, mental health professionals have the scientific, ethical, and moral responsibility to indicate the direction to all social, political, and other health care bodies involved in the process of meeting mental health needs during youth years.
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Affiliation(s)
- Marco Colizzi
- 1Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
- 2Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF UK
| | - Antonio Lasalvia
- 1Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Mirella Ruggeri
- 1Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
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Miller CJ, Smith SN, Pugatch M. Experimental and quasi-experimental designs in implementation research. Psychiatry Res 2020; 283:112452. [PMID: 31255320 PMCID: PMC6923620 DOI: 10.1016/j.psychres.2019.06.027] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 06/18/2019] [Accepted: 06/19/2019] [Indexed: 01/22/2023]
Abstract
Implementation science is focused on maximizing the adoption, appropriate use, and sustainability of effective clinical practices in real world clinical settings. Many implementation science questions can be feasibly answered by fully experimental designs, typically in the form of randomized controlled trials (RCTs). Implementation-focused RCTs, however, usually differ from traditional efficacy- or effectiveness-oriented RCTs on key parameters. Other implementation science questions are more suited to quasi-experimental designs, which are intended to estimate the effect of an intervention in the absence of randomization. These designs include pre-post designs with a non-equivalent control group, interrupted time series (ITS), and stepped wedges, the last of which require all participants to receive the intervention, but in a staggered fashion. In this article we review the use of experimental designs in implementation science, including recent methodological advances for implementation studies. We also review the use of quasi-experimental designs in implementation science, and discuss the strengths and weaknesses of these approaches. This article is therefore meant to be a practical guide for researchers who are interested in selecting the most appropriate study design to answer relevant implementation science questions, and thereby increase the rate at which effective clinical practices are adopted, spread, and sustained.
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Affiliation(s)
- Christopher J. Miller
- VA Boston Healthcare System, Center for Healthcare Organization and Implementation Research (CHOIR), United States Department of Veterans Affairs, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Corresponding Author: ; (p) 857-364-5688 (fax) 857-364-6140
| | - Shawna N. Smith
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Marianne Pugatch
- VA Boston Healthcare System, Center for Healthcare Organization and Implementation Research (CHOIR), United States Department of Veterans Affairs, Boston, MA, USA
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Bauer MS, Kirchner J. Implementation science: What is it and why should I care? Psychiatry Res 2020; 283:112376. [PMID: 31036287 DOI: 10.1016/j.psychres.2019.04.025] [Citation(s) in RCA: 497] [Impact Index Per Article: 99.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 04/22/2019] [Accepted: 04/22/2019] [Indexed: 11/16/2022]
Abstract
Centuries of experience make it clear that establishing the effectiveness of a clinical innovation is not sufficient to guarantee its uptake into routine use. The relatively new field of implementation science has developed to enhance the uptake of evidence-based practices and thereby increase their public health impact. Implementation science shares many characteristics, and the rigorous approach, of clinical research. However, it is distinct in that it attends to factors in addition to the effectiveness of the clinical innovation itself, to include identifying and addressing barriers and facilitators to the uptake of evidence-based clinical innovations. This article reviews the definition, history, and scope of implementation science, and places the field within the broader enterprise of biomedical research. It also provides an overview of this Special Issue of Psychiatry Research, which introduces the principles and methods of implementation science to mental health researchers.
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Affiliation(s)
- Mark S Bauer
- The Center for Healthcare Organization & Implementation Research (CHOIR), Veterans Affairs Boston Healthcare System, and the Harvard Medical School, Boston, MA, USA; The Department of Veterans Affairs Quality Enhancement Research Initiative (QUERI) for Team-Based Behavioral Health, Little Rock AR & Boston MA, USA.
| | - JoAnn Kirchner
- The Department of Veterans Affairs Quality Enhancement Research Initiative (QUERI) for Team-Based Behavioral Health, Little Rock AR & Boston MA, USA; The Central Arkansas Veterans Healthcare System, and the University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Smith SN, Almirall D, Prenovost K, Liebrecht C, Kyle J, Eisenberg D, Bauer MS, Kilbourne AM. Change in Patient Outcomes After Augmenting a Low-level Implementation Strategy in Community Practices That Are Slow to Adopt a Collaborative Chronic Care Model: A Cluster Randomized Implementation Trial. Med Care 2019; 57:503-511. [PMID: 31135692 PMCID: PMC6684247 DOI: 10.1097/mlr.0000000000001138] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Implementation strategies are essential for promoting the uptake of evidence-based practices and for patients to receive optimal care. Yet strategies differ substantially in their intensity and feasibility. Lower-intensity strategies (eg, training and technical support) are commonly used but may be insufficient for all clinics. Limited research has examined the comparative effectiveness of augmentations to low-level implementation strategies for nonresponding clinics. OBJECTIVES To compare 2 augmentation strategies for improving uptake of an evidence-based collaborative chronic care model (CCM) on 18-month outcomes for patients with depression at community-based clinics nonresponsive to lower-level implementation support. RESEARCH DESIGN Providers initially received support using a low-level implementation strategy, Replicating Effective Programs (REP). After 6 months, nonresponsive clinics were randomized to add either external facilitation (REP+EF) or external and internal facilitation (REP+EF/IF). MEASURES The primary outcome was patient 12-item short form survey (SF-12) mental health score at month 18. Secondary outcomes were patient health questionnaire (PHQ-9) depression score at month 18 and receipt of the CCM during months 6 through 18. RESULTS Twenty-seven clinics were nonresponsive after 6 months of REP. Thirteen clinics (N=77 patients) were randomized to REP+EF and 14 (N=92) to REP+EF/IF. At 18 months, patients in the REP+EF/IF arm had worse SF-12 [diff, 8.38; 95% confidence interval (CI), 3.59-13.18] and PHQ-9 scores (diff, 1.82; 95% CI, -0.14 to 3.79), and lower odds of CCM receipt (odds ratio, 0.67; 95% CI, 0.30-1.49) than REP+EF patients. CONCLUSIONS Patients at sites receiving the more intensive REP+EF/IF saw less improvement in mood symptoms at 18 months than those receiving REP+EF and were no more likely to receive the CCM. For community-based clinics, EF augmentation may be more feasible than EF/IF for implementing CCMs.
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Affiliation(s)
- Shawna N Smith
- Department of Psychiatry, University of Michigan Medical School
- Institute for Social Research
| | - Daniel Almirall
- Institute for Social Research
- Department of Statistics, University of Michigan
| | | | - Celeste Liebrecht
- Department of Psychiatry, University of Michigan Medical School
- Quality Enhancement Research Initiative (QUERI), US Department of Veterans Affairs
| | - Julia Kyle
- Department of Psychiatry, University of Michigan Medical School
| | - Daniel Eisenberg
- Department of Health Management and Policy, School of Public Health, University of Michigan Ann Arbor, MI
| | - Mark S Bauer
- US Department of Veterans Affairs, Center for Healthcare Organization and Implementation Research, US Department of Veterans Affairs, Boston Healthcare System and Harvard Medical School, Boston, MA
| | - Amy M Kilbourne
- Department of Psychiatry, University of Michigan Medical School
- Quality Enhancement Research Initiative (QUERI), US Department of Veterans Affairs
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Abstract
Bipolar II disorder causes significant suffering among patients and their families, some of which may be alleviated by psychotherapy alone or as an adjunct to pharmacotherapy. Psychotherapies may be more effective if modified to meet the specific needs of patients with bipolar II disorder.
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Affiliation(s)
- Danielle M Novick
- Outpatient Mood Disorders Clinic and Clinical Training Committee, VA Pittsburgh Healthcare System (Novick); Department of Psychiatry, University of Pittsburgh School of Medicine (Swartz)
| | - Holly A Swartz
- Outpatient Mood Disorders Clinic and Clinical Training Committee, VA Pittsburgh Healthcare System (Novick); Department of Psychiatry, University of Pittsburgh School of Medicine (Swartz)
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Cerimele JM, Goldberg SB, Miller CJ, Gabrielson SW, Fortney JC. Systematic Review of Symptom Assessment Measures for Use in Measurement-Based Care of Bipolar Disorders. Psychiatr Serv 2019; 70:396-408. [PMID: 30717645 PMCID: PMC6543835 DOI: 10.1176/appi.ps.201800383] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Utilization of measurement-based care (MBC) for bipolar disorders is limited, in part because of uncertainty regarding the utility of available measures. The aim of this study was to synthesize the literature on patient-reported and clinician-observed measures of symptoms of bipolar disorder and the potential use of these measures in MBC. METHODS A systematic review of multiple databases (PubMed, Embase, PsycINFO, Cochrane Library, and other gray literature) was conducted in June 2017 to identify validated measures. Data on the psychometric properties of each measure were extracted and used to assess the measure's clinical utility on the basis of established guidelines. RESULTS Twenty-eight unique measures were identified in 39 studies, including four patient-reported and six clinician-observed measures assessing manic symptoms, three patient-reported and five clinician-observed measures of depressive symptoms, and six patient-reported and four clinician-observed measures of both symptom types. Patient-reported measures with the highest clinical utility included the Altman Self-Rating Mania Scale for assessment of manic symptoms, the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) (depressive symptoms), and the Internal State Scale (both types). Highly rated clinician (C)-observed scales were the Bech-Rafaelsen Mania Rating Scale (mania), the QIDS-C (depressive symptoms), and the Bipolar Inventory of Symptoms Scale (both types). CONCLUSIONS Suitable choices are available for MBC of bipolar disorders. The choice of a measure could be informed by clinical utility score and may also depend on how clinicians or practices weigh each category of the clinical utility scale and on the clinical setting and presenting problem.
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Affiliation(s)
- Joseph M Cerimele
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Simon B Goldberg
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Christopher J Miller
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Stephen W Gabrielson
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - John C Fortney
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
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Kilbourne AM, Prenovost KM, Liebrecht C, Eisenberg D, Kim HM, Un H, Bauer MS. Randomized Controlled Trial of a Collaborative Care Intervention for Mood Disorders by a National Commercial Health Plan. Psychiatr Serv 2019; 70:219-224. [PMID: 30602344 PMCID: PMC6522242 DOI: 10.1176/appi.ps.201800336] [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: 12/26/2022]
Abstract
OBJECTIVE Few individuals with mood disorders have access to evidence-based collaborative chronic care models (CCMs) because most patients are seen in small-group practices (<20 providers) with limited capacity to deliver CCMs. In this single-blind randomized controlled trial, we determined whether a CCM delivered nationally in a U.S. health plan improved 12-month outcomes among enrollees with mood disorders compared with usual care. METHODS Aetna insurance enrollees (N=238), mostly females (66.1%) with a mean age of 41.1 years, who were recently hospitalized for unipolar major depression or bipolar disorder provided informed consent, completed baseline assessments, and were randomly assigned to usual care or CCM. The CCM included 10 sessions of the Life Goals self-management program and brief contacts by phone by a care manager to determine symptom status. Primary outcomes were changes over 12 months in depression symptoms (nine-item Patient Health Questionnaire [PHQ-9]) and mental health-related quality of life (Short Form-12). RESULTS Adjusted mean PHQ-9 scores were lower by 2.34 points (95% confidence level [CL]=-4.18 to -0.50, p=0.01), indicating improved symptoms, and adjusted mean SF-12 mental health scores were higher by 3.21 points (CL=-.97 to 7.38, p=0.10), indicating better quality of life, among participants receiving CCM versus usual care. CONCLUSIONS Individuals receiving CCM compared with usual care had improved clinical outcomes, although substantial attrition may limit the impact of health plan-level delivery of CCMs. Further research on the use of health plan-level interventions, such as CCMs, as alternatives to practice-based models is warranted.
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Affiliation(s)
- Amy M Kilbourne
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Katherine M Prenovost
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Celeste Liebrecht
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Daniel Eisenberg
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Hyungjin Myra Kim
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Hyong Un
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Mark S Bauer
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
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Cerimele JM, Fortney JC, Pyne JM, Curran GM. Bipolar disorder in primary care: a qualitative study of clinician and patient experiences with diagnosis and treatment. Fam Pract 2019; 36:32-37. [PMID: 29659789 PMCID: PMC6346633 DOI: 10.1093/fampra/cmy019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE To understand primary care patients' and clinicians' experiences with diagnosis and treatment of patients with bipolar disorder in primary care. METHODS We conducted a qualitative study using thematic content analysis of individual interviews with nine primary care clinicians and six patients from Federally Qualified Health Centers to understand their experiences with the diagnosis and treatment of bipolar disorder. RESULTS Themes of bipolar disorder detection, referral to specialty mental health care and medication treatment emerged from individual interviews with primary care patients and clinicians. Clinicians and patients faced challenges deciding to continue with care in primary care that is easier to access, but less intensive, than specialty care that can be harder to access but at times of higher quality. CONCLUSIONS Potential next steps in research include identifying ways to support primary care clinicians in detection of patients with bipolar disorder, and strategies to support treatment of patients in primary care with easier access to specialty care including consultation in primary care or co-management with specialty care.
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Affiliation(s)
- Joseph M Cerimele
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - John C Fortney
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.,Department of Veterans Affairs HSR&D, Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Jeffrey M Pyne
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Veterans Affairs, Center for Mental Health Care and Outcomes Research, Central Arkansas Veterans Health Care System, North Little Rock, AR, USA
| | - Geoffrey M Curran
- Department of Veterans Affairs, Center for Mental Health Care and Outcomes Research, Central Arkansas Veterans Health Care System, North Little Rock, AR, USA.,Department of Pharmacy Practice, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Baker AL, Turner A, Beck A, Berry K, Haddock G, Kelly PJ, Bucci S. Telephone-delivered psychosocial interventions targeting key health priorities in adults with a psychotic disorder: systematic review. Psychol Med 2018; 48:2637-2657. [PMID: 29798730 PMCID: PMC6236444 DOI: 10.1017/s0033291718001125] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 03/04/2018] [Accepted: 04/06/2018] [Indexed: 01/19/2023]
Abstract
BACKGROUND The mental and physical health of individuals with a psychotic illness are typically poor. Access to psychosocial interventions is important but currently limited. Telephone-delivered interventions may assist. In the current systematic review, we aim to summarise and critically analyse evidence for telephone-delivered psychosocial interventions targeting key health priorities in adults with a psychotic disorder, including (i) relapse, (ii) adherence to psychiatric medication and/or (iii) modifiable cardiovascular disease risk behaviours. METHODS Ten peer-reviewed and four grey literature databases were searched for English-language studies examining psychosocial telephone-delivered interventions targeting relapse, medication adherence and/or health behaviours in adults with a psychotic disorder. Study heterogeneity precluded meta-analyses. RESULTS Twenty trials [13 randomised controlled trials (RCTs)] were included, involving 2473 participants (relapse prevention = 867; medication adherence = 1273; and health behaviour = 333). Five of eight RCTs targeting relapse prevention and one of three targeting medication adherence reported at least 50% of outcomes in favour of the telephone-delivered intervention. The two health-behaviour RCTs found comparable levels of improvement across treatment conditions. CONCLUSIONS Although most interventions combined telephone and face-to-face delivery, there was evidence to support the benefit of entirely telephone-delivered interventions. Telephone interventions represent a potentially feasible and effective option for improving key health priorities among people with psychotic disorders. Further methodologically rigorous evaluations are warranted.
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Affiliation(s)
- Amanda L. Baker
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Alison Beck
- School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Katherine Berry
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Gillian Haddock
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Peter J. Kelly
- Illawarra Institute for Mental Health, School of Psychology and the Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Lawes-Wickwar S, McBain H, Mulligan K. Application and Effectiveness of Telehealth to Support Severe Mental Illness Management: Systematic Review. JMIR Ment Health 2018; 5:e62. [PMID: 30463836 PMCID: PMC6314801 DOI: 10.2196/mental.8816] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 02/15/2018] [Accepted: 06/08/2018] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND People with severe mental illness (SMI) must receive early interventions to prevent mental health deterioration or relapse. Telecommunications and other technologies are increasingly being used to assist in health care delivery using "telehealth," which includes telephones and mobile phones, computers, remote sensors, the internet, and other devices, to provide immediate real-time information to service users to improve the management of chronic health conditions. Some initial findings have suggested that technology could improve the quality of life of people with SMI. OBJECTIVE In this systematic review, we aimed to identify the various uses and efficacy of telehealth technology for SMI. METHODS We systematically searched electronic databases from inception to March 2016 (MEDLINE, EMBASE, PsycINFO, Cochrane Central Register of Controlled Trials, Allied and Complementary Medicine Database, Health Technology Assessment, CINAHL Plus, and NHS Economic Evaluations Database) to identify randomized controlled trials evaluating telehealth for adults with SMI published in English. Additional literature was identified through searching reference lists of key articles. The articles meeting the inclusion criteria were systematically reviewed and assessed for quality and risk of bias. RESULTS Our search identified 31 articles describing 29 trials as eligible for the review. The included studies evaluated the use of computers to deliver cognitive rehabilitation (15 trials), patient education (3 trials), and Web-based self-management interventions (2 trials) and to support consultations (1 trial). Virtual reality was used to simulate work and social situations (2 trials) and to deliver cognitive training (1 trial). Telephones were used to prompt service users to take medications (3 trials) and to report symptoms to their health care team (1 trial). Remote sensors were used to monitor medication use (1 trial). Telephone support was found effective in improving medication adherence and reducing the severity of symptoms and inpatient days. Computer-assisted cognitive rehabilitation was effective in improving cognitive function. The impact of telehealth on other outcomes was inconsistent. The results of this review should be taken in the context of varied quality in study design, with only 5 studies demonstrating a low risk of bias. CONCLUSIONS A growing variety of telehealth technologies are being used to support the management of SMI. Specific technology types have been found to be effective for some outcomes (eg, telephone and remote medication monitoring for adherence to treatment), while other types of telehealth technologies (eg, delivery of patient education using computers) had no benefit over traditional nurse-based methods and were less acceptable to patients. Further research is warranted to establish the full potential benefits of telehealth for improving the quality of life in people with SMI, acceptability from the service user perspective, and cost-effectiveness. The findings of this review are limited by the poor quality of many of the studies reviewed.
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Affiliation(s)
- Sadie Lawes-Wickwar
- Centre for Health Services Research, School of Health Sciences, City, University of London, London, United Kingdom
| | - Hayley McBain
- Centre for Health Services Research, School of Health Sciences, City, University of London, London, United Kingdom.,East London National Health Service Foundation Trust, London, United Kingdom
| | - Kathleen Mulligan
- Centre for Health Services Research, School of Health Sciences, City, University of London, London, United Kingdom.,East London National Health Service Foundation Trust, London, United Kingdom
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Black WE, Nagarkatti-Gude DR, Jetmalani A, Keepers G. Harnessing Technology to Implement Measurement-Based Care. ACADEMIC PSYCHIATRY : THE JOURNAL OF THE AMERICAN ASSOCIATION OF DIRECTORS OF PSYCHIATRIC RESIDENCY TRAINING AND THE ASSOCIATION FOR ACADEMIC PSYCHIATRY 2018; 42:711-716. [PMID: 29700798 DOI: 10.1007/s40596-018-0929-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 04/18/2018] [Indexed: 06/08/2023]
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Jones S, Riste L, Barrowclough C, Bartlett P, Clements C, Davies L, Holland F, Kapur N, Lobban F, Long R, Morriss R, Peters S, Roberts C, Camacho E, Gregg L, Ntais D. Reducing relapse and suicide in bipolar disorder: practical clinical approaches to identifying risk, reducing harm and engaging service users in planning and delivery of care – the PARADES (Psychoeducation, Anxiety, Relapse, Advance Directive Evaluation and Suicidality) programme. PROGRAMME GRANTS FOR APPLIED RESEARCH 2018. [DOI: 10.3310/pgfar06060] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BackgroundBipolar disorder (BD) costs £5.2B annually, largely as a result of incomplete recovery after inadequate treatment.ObjectivesA programme of linked studies to reduce relapse and suicide in BD.DesignThere were five workstreams (WSs): a pragmatic randomised controlled trial (RCT) of group psychoeducation (PEd) versus group peer support (PS) in the maintenance of BD (WS1); development and feasibility RCTs of integrated psychological therapy for anxiety in bipolar disorder (AIBD) and integrated for problematic alcohol use in BD (WS2 and WS3); survey and qualitative investigations of suicide and self-harm in BD (WS4); and survey and qualitative investigation of service users’ (SUs) and psychiatrists’ experience of the Mental Capacity Act 2005 (MCA), with reference to advance planning (WS5).SettingParticipants were from England; recruitment into RCTs was limited to certain sites [East Midlands and North West (WS1); North West (WS2 and WS3)].ParticipantsAged ≥ 18 years. In WS1–3, participants had their diagnosis of BD confirmed by the Structural Clinical Interview for theDiagnostic and Statistical Manual of Mental Disorders.InterventionsIn WS1, group PEd/PS; in WS3 and WS4, individual psychological therapy for comorbid anxiety and alcohol use, respectively.Main outcome measuresIn WS1, time to relapse of bipolar episode; in WS2 and WS3, feasibility and acceptability of interventions; in WS4, prevalence and determinants of suicide and self-harm; and in WS5, professional training and support of advance planning in MCA, and SU awareness and implementation.ResultsGroup PEd and PS could be routinely delivered in the NHS. The estimated median time to first bipolar relapse was 67.1 [95% confidence interval (CI) 37.3 to 90.9] weeks in PEd, compared with 48.0 (95% CI 30.6 to 65.9) weeks in PS. The adjusted hazard ratio was 0.83 (95% CI 0.62 to 1.11; likelihood ratio testp = 0.217). The interaction between the number of previous bipolar episodes (1–7 and 8–19, relative to 20+) and treatment arm was significant (χ2 = 6.80, degrees of freedom = 2;p = 0.034): PEd with one to seven episodes showed the greatest delay in time to episode. A primary economic analysis indicates that PEd is not cost-effective compared with PS. A sensitivity analysis suggests potential cost-effectiveness if decision-makers accept a cost of £37,500 per quality-adjusted life-year. AIBD and motivational interviewing (MI) cognitive–behavioural therapy (CBT) trials were feasible and acceptable in achieving recruitment and retention targets (AIBD:n = 72, 72% retention to follow-up; MI-CBT:n = 44, 75% retention) and in-depth qualitative interviews. There were no significant differences in clinical outcomes for either trial overall. The factors associated with risk of suicide and self-harm (longer duration of illness, large number of periods of inpatient care, and problems establishing diagnosis) could inform improved clinical care and specific interventions. Qualitative interviews suggested that suicide risk had been underestimated, that care needs to be more collaborative and that people need fast access to good-quality care. Despite SUs supporting advance planning and psychiatrists being trained in MCA, the use of MCA planning provisions was low, with confusion over informal and legally binding plans.LimitationsInferences for routine clinical practice from WS1 were limited by the absence of a ‘treatment as usual’ group.ConclusionThe programme has contributed significantly to understanding how to improve outcomes in BD. Group PEd is being implemented in the NHS influenced by SU support.Future workFuture work is needed to evaluate optimal approaches to psychological treatment of comorbidity in BD. In addition, work in improved risk detection in relation to suicide and self-harm in clinical services and improved training in MCA are indicated.Trial registrationCurrent Controlled Trials ISRCTN62761948, ISRCTN84288072 and ISRCTN14774583.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; Vol. 6, No. 6. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Steven Jones
- Spectrum Centre for Mental Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Lisa Riste
- School of Psychological Sciences, University of Manchester, Manchester, UK
| | | | - Peter Bartlett
- School of Law and Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Caroline Clements
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Linda Davies
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Fiona Holland
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Nav Kapur
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
- Manchester Mental Health & Social Care NHS Trust, Manchester, UK
| | - Fiona Lobban
- Spectrum Centre for Mental Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Rita Long
- Spectrum Centre for Mental Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Richard Morriss
- Institute of Mental Health, University of Nottingham, Nottingham, UK
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Sarah Peters
- School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Chris Roberts
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Elizabeth Camacho
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Lynsey Gregg
- School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Dionysios Ntais
- Institute of Population Health, University of Manchester, Manchester, UK
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Cerimele JM, Kern JS. Bipolar Disorder in Primary Care: Integrated Care Experiences. FOCUS: JOURNAL OF LIFE LONG LEARNING IN PSYCHIATRY 2018; 15:244-248. [PMID: 29333108 DOI: 10.1176/appi.focus.20170005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Primary care clinics are increasingly implementing collaborative care models to care for patients with psychiatric illnesses in primary care. The evidence base for the effectiveness of collaborative care has largely been derived from the care of patients with depression or anxiety disorders, although psychiatrists working in primary care may encounter patients with illnesses other than depression or anxiety disorder, notably bipolar disorder. Patients with bipolar disorder report having received treatment in primary care in equal proportions as those in specialty care settings over the past 12 months, although quality of care is lower in primary care than in specialty care settings. For patients already presenting to primary care, collaborative care is one population-based care model that may increase the proportion of individuals with bipolar disorder who are exposed to high-quality psychiatric care, such as appropriate medication treatment and laboratory monitoring. The primary care setting may even present unexpected strengths in caring for patients with bipolar disorder. Solutions to barriers to expanding the scope of collaborative care to include patients with bipolar disorder may apply to the care of patients with other complex disorders in the primary care setting.
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Affiliation(s)
- Joseph M Cerimele
- Assistant professor, Division of Population Health, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine
| | - John S Kern
- Clinical professor, Division of Population Health, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine
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Abstract
SummaryBipolar disorder is a complex disorder of mood and behaviour that requires a multimodal treatment approach. In the past 10 years there has been growing interest in psychoeducational interventions delivered as adjuncts to conventional management. Several studies have tested the effectiveness of psychoeducational treatments delivered in a variety of formats. In this article we assess the evidence for the efficacy of these interventions and consider the likely future role of structured psychoeducational treatments in clinical practice.
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Basu S, Landon BE, Williams JW, Bitton A, Song Z, Phillips RS. Behavioral Health Integration into Primary Care: a Microsimulation of Financial Implications for Practices. J Gen Intern Med 2017; 32:1330-1341. [PMID: 28900839 PMCID: PMC5698230 DOI: 10.1007/s11606-017-4177-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND New payments from Medicare encourage behavioral health services to be integrated into primary care practice activities. OBJECTIVE To evaluate the financial impact for primary care practices of integrating behavioral health services. DESIGN Microsimulation model. PARTICIPANTS We simulated patients and providers at federally qualified health centers (FQHCs), non-FQHCs in urban and rural high-poverty areas, and practices outside of high-poverty areas surveyed by the National Association of Community Health Centers, National Ambulatory Medical Care Survey, National Health and Nutrition Examination Survey, and National Health Interview Survey. INTERVENTIONS A collaborative care model (CoCM), involving telephone-based follow-up from a behaviorist care manager, or a primary care behaviorist model (PCBM), involving an in-clinic behaviorist. MAIN MEASURES Net revenue change per full-time physician. KEY RESULTS When behavioral health integration services were offered only to Medicare patients, net revenue was higher under CoCM (averaging $25,026 per MD in year 1 and $28,548/year in subsequent years) than PCBM (-$7052 in year 1 and -$3706/year in subsequent years). When behavioral health integration services were offered to all patients and were reimbursed by Medicare and private payers, only practices adopting the CoCM approach consistently gained net revenues. The outcomes of the model were sensitive to rates of patient referral acceptance, presentation, and therapy completion, but the CoCM approach remained consistently financially viable whereas PCBM would not be in the long-run across practice types. CONCLUSIONS New Medicare payments may offer financial viability for primary care practices to integrate behavioral health services, but this viability depends on the approach toward care integration.
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Affiliation(s)
- Sanjay Basu
- Center for Population Health Sciences and Center for Primary Care and Outcomes Research, Departments of Medicine and of Health Research and Policy, Stanford University, 1070 Arastradero Road, Office 282, Palo Alto, CA, 94304, USA.
- Center for Primary Care, Harvard Medical School, Boston, MA, USA.
| | - Bruce E Landon
- Center for Primary Care, Harvard Medical School, Boston, MA, USA
- Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - John W Williams
- Departments of Medicine and Psychiatry, Duke University School of Medicine and Center of Innovation for Health Services Research in Primary Care, Durham VA Health System, Durham, NC, USA
| | - Asaf Bitton
- Center for Primary Care, Harvard Medical School, Boston, MA, USA
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
- Division of General Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Ariadne Labs, Brigham and Women's Hospital and Harvard School of Public Health, Boston, MA, USA
| | - Zirui Song
- Center for Primary Care, Harvard Medical School, Boston, MA, USA
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Russell S Phillips
- Center for Primary Care, Harvard Medical School, Boston, MA, USA
- Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA, USA
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Nestsiarovich A, Hurwitz NG, Nelson SJ, Crisanti AS, Kerner B, Kuntz MJ, Smith AN, Volesky E, Schroeter QL, DeShaw JL, Young SS, Obenchain RL, Krall RL, Jordan K, Fawcett J, Tohen M, Perkins DJ, Lambert CG. Systemic challenges in bipolar disorder management: A patient-centered approach. Bipolar Disord 2017; 19:676-688. [PMID: 28901625 PMCID: PMC5763323 DOI: 10.1111/bdi.12547] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 08/08/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVES As part of a series of Patient-Centered Outcomes Research Institute-funded large-scale retrospective observational studies on bipolar disorder (BD) treatments and outcomes, we sought the input of patients with BD and their family members to develop research questions. We aimed to identify systemic root causes of patient-reported challenges with BD management in order to guide subsequent studies and initiatives. METHODS Three focus groups were conducted where patients and their family members (total n = 34) formulated questions around the central theme, "What do you wish you had known in advance or over the course of treatment for BD?" In an affinity mapping exercise, participants clustered their questions and ranked the resulting categories by importance. The research team and members of our patient partner advisory council further rated the questions by expected impact on patients. Using a Theory of Constraints systems thinking approach, several causal models of BD management challenges and their potential solution were developed with patients using the focus group data. RESULTS A total of 369 research questions were mapped to 33 categories revealing 10 broad themes. The top priorities for patient stakeholders involved pharmacotherapy and treatment alternatives. Analysis of causal relationships underlying 47 patient concerns revealed two core conflicts: for patients, whether or not to take pharmacotherapy, and for mental health services, the dilemma of care quality vs quantity. CONCLUSIONS To alleviate the core conflicts identified, BD management requires a coordinated multidisciplinary approach including: improved access to mental health services, objective diagnostics, sufficient provider visit time, evidence-based individualized treatment, and psychosocial support.
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Affiliation(s)
- Anastasiya Nestsiarovich
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | | | - Stuart J Nelson
- University of New Mexico Health Sciences Library and Informatics Center, Albuquerque, NM, USA.,Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Annette S Crisanti
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Berit Kerner
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Matt J Kuntz
- National Alliance on Mental Illness Montana, Helena, MN, USA
| | - Alicia N Smith
- National Alliance on Mental Illness Montana, Helena, MN, USA
| | - Emma Volesky
- National Alliance on Mental Illness Montana, Helena, MN, USA
| | | | - Jason L DeShaw
- National Alliance on Mental Illness Montana, Helena, MN, USA
| | | | | | - Ronald L Krall
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kimmie Jordan
- National Alliance on Mental Illness New Mexico, Albuquerque, NM, USA
| | - Jan Fawcett
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Douglas J Perkins
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Christophe G Lambert
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.,Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
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Miklowitz DJ, Cipriani A, Goodwin GM. Network meta-analysis: drawing conclusions regarding trials of psychosocial interventions for bipolar disorder. Br J Psychiatry 2017; 211:334-336. [PMID: 29196390 DOI: 10.1192/bjp.bp.117.202739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 06/09/2017] [Accepted: 06/27/2017] [Indexed: 11/23/2022]
Abstract
Network meta-analysis (NMA) is a statistical technique for making direct and indirect comparisons between different treatment and control groups. Despite its many advantages, NMA may be misleading when evaluating networks that are disconnected, inconsistent or of low reliability and validity. We review how well the analysis of trials of adjunctive psychosocial treatment in bipolar disorder is served by NMA. We conclude with recommendations for future treatment trials in bipolar disorder and guidelines for NMAs.
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Affiliation(s)
- David J Miklowitz
- David J. Miklowitz, PhD, Department of Psychiatry, University of California, Los Angeles (UCLA) School of Medicine, Los Angeles, California, USA and University Department of Psychiatry, University of Oxford, Oxford, UK; Andrea Cipriani, MD, PhD, Guy M. Goodwin, FMedSci, University Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Andrea Cipriani
- David J. Miklowitz, PhD, Department of Psychiatry, University of California, Los Angeles (UCLA) School of Medicine, Los Angeles, California, USA and University Department of Psychiatry, University of Oxford, Oxford, UK; Andrea Cipriani, MD, PhD, Guy M. Goodwin, FMedSci, University Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Guy M Goodwin
- David J. Miklowitz, PhD, Department of Psychiatry, University of California, Los Angeles (UCLA) School of Medicine, Los Angeles, California, USA and University Department of Psychiatry, University of Oxford, Oxford, UK; Andrea Cipriani, MD, PhD, Guy M. Goodwin, FMedSci, University Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
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Goldstein BI, Birmaher B, Carlson GA, DelBello MP, Findling RL, Fristad M, Kowatch RA, Miklowitz DJ, Nery FG, Perez‐Algorta G, Van Meter A, Zeni CP, Correll CU, Kim H, Wozniak J, Chang KD, Hillegers M, Youngstrom EA. The International Society for Bipolar Disorders Task Force report on pediatric bipolar disorder: Knowledge to date and directions for future research. Bipolar Disord 2017; 19:524-543. [PMID: 28944987 PMCID: PMC5716873 DOI: 10.1111/bdi.12556] [Citation(s) in RCA: 141] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 08/14/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Over the past two decades, there has been tremendous growth in research regarding bipolar disorder (BD) among children and adolescents (ie, pediatric BD [PBD]). The primary purpose of this article is to distill the extant literature, dispel myths or exaggerated assertions in the field, and disseminate clinically relevant findings. METHODS An international group of experts completed a selective review of the literature, emphasizing areas of consensus, identifying limitations and gaps in the literature, and highlighting future directions to mitigate these gaps. RESULTS Substantial, and increasingly international, research has accumulated regarding the phenomenology, differential diagnosis, course, treatment, and neurobiology of PBD. Prior division around the role of irritability and of screening tools in diagnosis has largely abated. Gold-standard pharmacologic trials inform treatment of manic/mixed episodes, whereas fewer data address bipolar depression and maintenance/continuation treatment. Adjunctive psychosocial treatment provides a forum for psychoeducation and targets primarily depressive symptoms. Numerous neurocognitive and neuroimaging studies, and increasing peripheral biomarker studies, largely converge with prior findings from adults with BD. CONCLUSIONS As data have accumulated and controversy has dissipated, the field has moved past existential questions about PBD toward defining and pursuing pressing clinical and scientific priorities that remain. The overall body of evidence supports the position that perceptions about marked international (US vs elsewhere) and developmental (pediatric vs adult) differences have been overstated, although additional research on these topics is warranted. Traction toward improved outcomes will be supported by continued emphasis on pathophysiology and novel therapeutics.
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Affiliation(s)
- Benjamin I Goldstein
- Centre for Youth Bipolar DisorderSunnybrook Health Sciences CentreTorontoCanada,Departments of Psychiatry and PharmacologyUniversity of TorontoTorontoCanada
| | - Boris Birmaher
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Gabrielle A Carlson
- Department of PsychiatryStony Brook University School of MedicineStony BrookNYUSA
| | - Melissa P DelBello
- Department of Psychiatry & Behavioral NeuroscienceUniversity of CincinnatiCincinnatiOHUSA
| | - Robert L Findling
- Department of Psychiatry & Behavioral SciencesThe Johns Hopkins UniversityBaltimoreMDUSA
| | - Mary Fristad
- Ohio State University Wexner Medical Center/Nationwide Children's HospitalColumbusOHUSA
| | - Robert A Kowatch
- Ohio State University Wexner Medical Center/Nationwide Children's HospitalColumbusOHUSA
| | | | - Fabiano G Nery
- Department of Psychiatry & Behavioral NeuroscienceUniversity of CincinnatiCincinnatiOHUSA
| | | | - Anna Van Meter
- Ferkauf Graduate School of PsychologyYeshiva UniversityBronxNYUSA
| | | | - Christoph U Correll
- The Zucker Hillside HospitalDepartment of PsychiatryNorthwell HealthGlen OaksNYUSA,Department of Psychiatry and Molecular MedicineHofstra Northwell School of MedicineHempsteadNYUSA
| | - Hyo‐Won Kim
- Department of PsychiatryUniversity of Ulsan College of MedicineAsan Medical CenterSeoulKorea
| | - Janet Wozniak
- Clinical and Research Program in Pediatric PsychopharmacologyMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA
| | - Kiki D Chang
- Department of PsychiatryStanford UniversityPalo AltoCAUSA
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry and PsychologyErasmus Medical Center‐SophiaRotterdamThe Netherlands
| | - Eric A Youngstrom
- Department of Psychology and NeuroscienceUniversity of North CarolinaChapel HillNCUSA
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Simon J, Budge K, Price J, Goodwin GM, Geddes JR. Remote mood monitoring for adults with bipolar disorder: An explorative study of compliance and impact on mental health service use and costs. Eur Psychiatry 2017; 45:14-19. [PMID: 28728090 DOI: 10.1016/j.eurpsy.2017.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/14/2017] [Accepted: 06/16/2017] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Remote monitoring of mood disorders may be an effective and low resource option for patient follow-up, but relevant evidence remains very limited. This study explores real-life compliance and health services impacts of mood monitoring among patients with bipolar disorder in the UK. METHODS Patients with a diagnosis of bipolar disorder who were registered users of the True Colours monitoring system for at least 12months at study assessment were included in this retrospective cohort study (n=79). Compliance was measured as the proportion of valid depression and mania scale messages received in comparison to their expected numbers over the first 12months of monitoring. Mental health service use data were extracted from case notes, costed using national unit costs, and compared 12months before (pre-TC period) and 12months after (TC period) patients' engagement with monitoring. Associations with relevant patient factors were investigated in a multiple regression model. RESULTS Average compliance with monitoring was 82%. Significant increases in the annual use and costs of psychiatrist contacts and total mental health services were shown for patients newly referred to the clinic during the pre-TC period but not for long-term patients of the clinic. Psychiatric medication costs increased significantly between the pre-TC and TC periods (£235, P=0.005) unrelated to patients' referral status. CONCLUSIONS Remote mood monitoring has good compliance among consenting patients with bipolar disorder. We found no associations between observed changes in mental health service costs and the introduction of monitoring except for the increase in psychiatric medication costs.
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Affiliation(s)
- J Simon
- Department of Health Economics, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria; Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, OX3 7JX Oxford, UK; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, OX3 7LF Oxford, UK.
| | - K Budge
- Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, OX3 7JX Oxford, UK; North Essex Partnership NHS Foundation Trust, CO4 5HG Colchester, UK
| | - J Price
- Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, OX3 7JX Oxford, UK
| | - G M Goodwin
- Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, OX3 7JX Oxford, UK
| | - J R Geddes
- Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, OX3 7JX Oxford, UK
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Ward MC, Druss BG. Reverse Integration Initiatives for Individuals With Serious Mental Illness. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2017; 15:271-278. [PMID: 31975857 PMCID: PMC6519558 DOI: 10.1176/appi.focus.20170011] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Medical progress has greatly extended the life span of individuals living in the United States, yet certain groups have lagged behind in achieving wellness and longevity. Prominent among these are individuals with serious mental illness. Because of this, various initiatives have been launched at the community, state, and national level to improve the medical care of those with serious mental illness. Many of these initiatives promote "reverse integration," or the provision of collaborative care services in behavioral health locations. Despite significant barriers to implementation, these initiatives have shown moderate success in improving medical outcomes for those with serious mental illness, in both research and "real-life" settings. Additionally, the role of psychiatrists in addressing physical health has been explored, and there is a need for educational opportunities to optimize competency in this area. Overall, work still needs to be done before the mortality gap for those with serious mental illness dissipates.
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Affiliation(s)
- Martha C Ward
- Dr. Ward is with the Department of Psychiatry and Behavioral Sciences and the Department of Medicine, Emory University School of Medicine, Atlanta. Dr. Druss is the Rosalynn Carter Chair in Mental Health, Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta
| | - Benjamin G Druss
- Dr. Ward is with the Department of Psychiatry and Behavioral Sciences and the Department of Medicine, Emory University School of Medicine, Atlanta. Dr. Druss is the Rosalynn Carter Chair in Mental Health, Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta
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Bauer MS, Krawczyk L, Tuozzo K, Frigand C, Holmes S, Miller CJ, Abel E, Osser DN, Franz A, Brandt C, Rooney M, Fleming J, Smith E, Godleski L. Implementing and Sustaining Team-Based Telecare for Bipolar Disorder: Lessons Learned from a Model-Guided, Mixed Methods Analysis. Telemed J E Health 2017; 24:45-53. [PMID: 28665773 DOI: 10.1089/tmj.2017.0017] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Telemental health interventions have empirical support from clinical trials and structured demonstration projects. However, their implementation and sustainability under less structured clinical conditions are not well demonstrated. INTRODUCTION We conducted a follow-up analysis of the implementation and sustainability of a clinical video teleconference-based collaborative care model for individuals with bipolar disorder treated in the Department of Veterans Affairs to (a) characterize the extent of implementation and sustainability of the program after its establishment and (b) identify barriers and facilitators to implementation and sustainability. MATERIALS AND METHODS We conducted a mixed methods program evaluation, assessing quantitative aspects of implementation according to the Reach, Efficacy, Adoption, Implementation, and Maintenance implementation framework. We conducted qualitative analysis of semistructured interviews with 16 of the providers who submitted consults, utilizing the Integrated Promoting Action on Research Implementation in the Health Services implementation framework. RESULTS The program demonstrated linear growth in sites (n = 35) and consults (n = 915) from late 2011 through mid-2016. Site-based analysis indicated statistically significant sustainability beyond the first year of operation. Qualitative analysis identified key facilitators, including consult content, ease of use via electronic health record, and national infrastructure. Barriers included availability of telehealth space, equipment, and staff at the sites, as well as the labor-intensive nature of scheduling. DISCUSSION The program achieved continuous growth over almost 5 years due to (1) successfully filling a need perceived by providers, (2) developing in a supportive context, and (3) receiving effective facilitation by national and local infrastructure. CONCLUSION Clinical video teleconference-based interventions, even multicomponent collaborative care interventions for individuals with complex mental health conditions, can grow vigorously under appropriate conditions.
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Affiliation(s)
- Mark S Bauer
- 1 VA Center for Healthcare Organization and Implementation Research, Boston and Bedford, Massachusetts.,2 Harvard Medical School Department of Psychiatry and VA Boston Healthcare System , Boston, Massachusetts
| | - Lois Krawczyk
- 2 Harvard Medical School Department of Psychiatry and VA Boston Healthcare System , Boston, Massachusetts
| | - Kathy Tuozzo
- 3 Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System , West Haven, Connecticut.,6 VA Central Office, Office of Connected Care, West Haven, Connecticut
| | - Cara Frigand
- 1 VA Center for Healthcare Organization and Implementation Research, Boston and Bedford, Massachusetts
| | - Sally Holmes
- 1 VA Center for Healthcare Organization and Implementation Research, Boston and Bedford, Massachusetts
| | - Christopher J Miller
- 1 VA Center for Healthcare Organization and Implementation Research, Boston and Bedford, Massachusetts.,2 Harvard Medical School Department of Psychiatry and VA Boston Healthcare System , Boston, Massachusetts
| | - Erica Abel
- 3 Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System , West Haven, Connecticut
| | - David N Osser
- 2 Harvard Medical School Department of Psychiatry and VA Boston Healthcare System , Boston, Massachusetts
| | - Aleda Franz
- 3 Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System , West Haven, Connecticut
| | - Cynthia Brandt
- 3 Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System , West Haven, Connecticut
| | - Meghan Rooney
- 4 Hunter Holmes McGuire VA Medical Center , Richmond, Virginia
| | - Jerry Fleming
- 2 Harvard Medical School Department of Psychiatry and VA Boston Healthcare System , Boston, Massachusetts
| | - Eric Smith
- 1 VA Center for Healthcare Organization and Implementation Research, Boston and Bedford, Massachusetts.,5 Department of Psychiatry, University of Massachusetts School of Medicine , Boston, Massachusetts
| | - Linda Godleski
- 3 Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System , West Haven, Connecticut.,6 VA Central Office, Office of Connected Care, West Haven, Connecticut
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Reducing the rate and duration of Re-ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment - the RADMIS trials: study protocol for two randomized controlled trials. Trials 2017; 18:277. [PMID: 28619114 PMCID: PMC5472886 DOI: 10.1186/s13063-017-2015-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 05/23/2017] [Indexed: 01/11/2023] Open
Abstract
Background Unipolar and bipolar disorder combined account for nearly half of all morbidity and mortality due to mental and substance use disorders, and burden society with the highest health care costs of all psychiatric and neurological disorders. Among these, costs due to psychiatric hospitalization are a major burden. Smartphones comprise an innovative and unique platform for the monitoring and treatment of depression and mania. No prior trial has investigated whether the use of a smartphone-based system can prevent re-admission among patients discharged from hospital. The present RADMIS trials aim to investigate whether using a smartphone-based monitoring and treatment system, including an integrated clinical feedback loop, reduces the rate and duration of re-admissions more than standard treatment in unipolar disorder and bipolar disorder. Methods The RADMIS trials use a randomized controlled, single-blind, parallel-group design. Patients with unipolar disorder and patients with bipolar disorder are invited to participate in each trial when discharged from psychiatric hospitals in The Capital Region of Denmark following an affective episode and randomized to either (1) a smartphone-based monitoring system including (a) an integrated feedback loop between patients and clinicians and (b) context-aware cognitive behavioral therapy (CBT) modules (intervention group) or (2) standard treatment (control group) for a 6-month trial period. The trial started in May 2017. The outcomes are (1) number and duration of re-admissions (primary), (2) severity of depressive and manic (only for patients with bipolar disorder) symptoms; psychosocial functioning; number of affective episodes (secondary), and (3) perceived stress, quality of life, self-rated depressive symptoms, self-rated manic symptoms (only for patients with bipolar disorder), recovery, empowerment, adherence to medication, wellbeing, ruminations, worrying, and satisfaction (tertiary). A total of 400 patients (200 patients with unipolar disorder and 200 patients with bipolar disorder) will be included in the RADMIS trials. Discussion If the smartphone-based monitoring system proves effective in reducing the rate and duration of re-admissions, there will be basis for using a system of this kind in the treatment of unipolar and bipolar disorder in general and on a larger scale. Trial registration ClinicalTrials.gov, ID: NCT03033420. Registered 13 January 2017. Ethical approval has been obtained. Electronic supplementary material The online version of this article (doi:10.1186/s13063-017-2015-3) contains supplementary material, which is available to authorized users.
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Bradley KA, Ludman EJ, Chavez LJ, Bobb JF, Ruedebusch SJ, Achtmeyer CE, Merrill JO, Saxon AJ, Caldeiro RM, Greenberg DM, Lee AK, Richards JE, Thomas RM, Matson TE, Williams EC, Hawkins E, Lapham G, Kivlahan DR. Patient-centered primary care for adults at high risk for AUDs: the Choosing Healthier Drinking Options In primary CarE (CHOICE) trial. Addict Sci Clin Pract 2017; 12:15. [PMID: 28514963 PMCID: PMC5436432 DOI: 10.1186/s13722-017-0080-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 04/28/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Most patients with alcohol use disorders (AUDs) never receive alcohol treatment, and experts have recommended management of AUDs in primary care. The Choosing Healthier Drinking Options In primary CarE (CHOICE) trial was a randomized controlled effectiveness trial of a novel intervention for primary care patients at high risk for AUDs. This report describes the conceptual and scientific foundation of the CHOICE model of care, critical elements of the CHOICE trial design consistent with the Template for Intervention Description and Replication (TIDieR), results of recruitment, and baseline characteristics of the enrolled sample. METHODS The CHOICE intervention is a multi-contact, extended counseling intervention, based on the Chronic Care Model, shared decision-making, motivational interviewing, and evidence-based options for managing AUDs, designed to be practical in primary care. Outpatients who received care at 3 Veterans Affairs primary care sites in the Pacific Northwest and reported frequent heavy drinking (≥4 drinks/day for women; ≥5 for men) were recruited (2011-2014) into a trial in which half of the participants would be offered additional alcohol-related care from a nurse. CHOICE nurses offered 12 months of patient-centered care, including proactive outreach and engagement, repeated brief motivational interventions, monitoring with and without alcohol biomarkers, medications for AUDs, and/or specialty alcohol treatment as appropriate and per patient preference. A CHOICE nurse practitioner was available to prescribe medications for AUDs. RESULTS A total of 304 patients consented to participate in the CHOICE trial. Among consenting participants, 90% were men, the mean age was 51 (range 22-75), and most met DSM-IV criteria for alcohol abuse (14%) or dependence (59%). Many participants also screened positive for tobacco use (44%), depression (45%), anxiety disorders (30-41%) and non-tobacco drug use disorders (19%). At baseline, participants had a median AUDIT score of 18 [Interquartile range (IQR) 14-24] and a median readiness to change drinking score of 5 (IQR 2.75-6.25) on a 1-10 Likert scale. CONCLUSION The CHOICE trial tested a patient-centered intervention for AUDs and recruited primary care patients at high risk for AUDs, with a spectrum of severity, co-morbidity, and readiness to change drinking. Trial registration The trial is registered at clinicaltrial.gov (NCT01400581).
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Affiliation(s)
- Katharine A. Bradley
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
- Department of Health Services, University of Washington, Seattle, WA USA
- Department of Medicine, University of Washington, Seattle, WA USA
| | - Evette Joy Ludman
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
| | - Laura J. Chavez
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH USA
- Center for Innovation in Pediatric Practice, Nationwide Children’s Hospital, Columbus, OH USA
| | - Jennifer F. Bobb
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
| | - Susan J. Ruedebusch
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
| | - Carol E. Achtmeyer
- General Medicine Service, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
| | | | - Andrew J. Saxon
- Center of Excellence in Substance Abuse Treatment and Education (CESATE), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA USA
| | - Ryan M. Caldeiro
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
| | - Diane M. Greenberg
- Center of Excellence in Substance Abuse Treatment and Education (CESATE), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA USA
- General Medicine Service, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
| | - Amy K. Lee
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
| | - Julie E. Richards
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
- Department of Health Services, University of Washington, Seattle, WA USA
| | - Rachel M. Thomas
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
| | - Theresa E. Matson
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
- Department of Health Services, University of Washington, Seattle, WA USA
| | - Emily C. Williams
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
- Department of Health Services, University of Washington, Seattle, WA USA
| | - Eric Hawkins
- Center of Excellence in Substance Abuse Treatment and Education (CESATE), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA USA
| | - Gwen Lapham
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, WA 98101-1466 USA
| | - Daniel R. Kivlahan
- Center of Excellence in Substance Abuse Treatment and Education (CESATE), Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA USA
- Health Services Research and Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA USA
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Kilbourne AM, Barbaresso MM, Lai Z, Nord KM, Bramlet M, Goodrich DE, Post EP, Almirall D, Bauer MS. Improving Physical Health in Patients With Chronic Mental Disorders: Twelve-Month Results From a Randomized Controlled Collaborative Care Trial. J Clin Psychiatry 2017; 78:129-137. [PMID: 27780336 PMCID: PMC5272777 DOI: 10.4088/jcp.15m10301] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 12/09/2015] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Persons with chronic mental disorders are disproportionately burdened with physical health conditions. We determined whether Life Goals Collaborative Care compared to usual care improves physical health in patients with mental disorders within 12 months. METHODS This single-blind randomized controlled effectiveness study of a collaborative care model was conducted at a midwestern Veterans Affairs urban outpatient mental health clinic. Patients (N = 293 out of 474 eligible approached) with an ICD-9-CM diagnosis of schizophrenia, bipolar disorder, or major depressive disorder and at least 1 cardiovascular disease risk factor provided informed consent and were randomized (February 24, 2010, to April 29, 2015) to Life Goals (n = 146) or usual care (n = 147). A total of 287 completed baseline assessments, and 245 completed 12-month follow-up assessments. Life Goals included 5 weekly sessions that provided semistructured guidance on managing physical and mental health symptoms through healthy behavior changes, augmented by ongoing care coordination. The primary outcome was change in physical health-related quality of life score (Veterans RAND 12-item Short Form Health Survey [VR-12] physical health component score). Secondary outcomes included control of cardiovascular risk factors from baseline to 12 months (blood pressure, lipids, weight), mental health-related quality of life, and mental health symptoms. RESULTS Among patients completing baseline and 12-month outcomes assessments (N = 245), the mean age was 55.3 years (SD = 10.8; range, 25-78 years), and 15.4% were female. Intent-to-treat analysis revealed that compared to those in usual care, patients randomized to Life Goals had slightly increased VR-12 physical health scores (coefficient = 3.21; P = .01). CONCLUSIONS Patients with chronic mental disorders and cardiovascular disease risk who received Life Goals had improved physical health-related quality of life. TRIAL REGISTRATION ClinicalTrials.gov identifiers: NCT01487668 and NCT01244854.
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Affiliation(s)
- Amy M. Kilbourne
- VA Center for Clinical Management Research, Ann Arbor, MI, USA, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA,Author for correspondence: Amy M. Kilbourne, PhD, MPH, VA Center for Clinical Management Research, 2215 Fuller Road, Mailstop 152, Ann Arbor, MI, 48105. Voice: 734-845-3452; fax: 734-222-7503,
| | | | - Zongshan Lai
- VA Center for Clinical Management Research, Ann Arbor, MI, USA, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Kristina M. Nord
- VA Center for Clinical Management Research, Ann Arbor, MI, USA, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | - David E. Goodrich
- VA Center for Clinical Management Research, Ann Arbor, MI, USA, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Edward P. Post
- VA Center for Clinical Management Research, Ann Arbor, MI, USA, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Daniel Almirall
- Institute for Social Research, University of Michigan, Ann Arbor, USA
| | - Mark S. Bauer
- VA Center for Healthcare Organization and Implementation Research, Boston, MA, USA, Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Fontanella CA, Hiance-Steelesmith DL, Gilchrist R, Bridge JA, Weston D, Campo JV. Quality of care for Medicaid-enrolled youth with bipolar disorders. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2016; 42:126-38. [PMID: 24729042 DOI: 10.1007/s10488-014-0553-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This study examined conformance to clinical practice guidelines for children and adolescents with bipolar disorders and identified patient and provider factors associated with guideline concordant care. Administrative records were examined for 4,047 Medicaid covered youth aged 5-18 years with new episodes of bipolar disorder during 2006-2010. Main outcome measures included 5 claims-based quality of care measures reflecting national treatment guidelines. Measures addressed appropriate pharmacotherapy, therapeutic drug monitoring, and psychosocial treatment. The results indicated that current treatment practices for youth diagnosed with bipolar disorder typically fall short of recommended practice guidelines. Although the majority of affected youth are treated with recommended first-line pharmacotherapy, only a minority receive therapeutic drug monitoring and/or psychotherapy of recommended duration, underscoring the need for quality improvement initiatives.
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Affiliation(s)
- Cynthia A Fontanella
- Department of Psychiatry, College of Medicine, The Ohio State University, 1670 Upham Road, Columbus, OH, 43210, USA,
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Waxmonsky J, Verchinina L, Kim HM, Lai Z, Eisenberg D, Kyle JT, Nord KM, Rementer JH, Goodrich DE, Bauer MS, Thomas MR, Kilbourne AM. Correlates of Emergency Department Use by Individuals With Bipolar Disorder Enrolled in a Collaborative Care Implementation Study. Psychiatr Serv 2016; 67:1265-1268. [PMID: 27247174 PMCID: PMC5089922 DOI: 10.1176/appi.ps.201500347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The study assessed correlates of emergency department use among participants in a collaborative care program for bipolar disorder. METHODS Community-based clinics from two states implemented Life Goals-Collaborative Care (LG-CC), an evidence-based model that includes self-management sessions and care management contacts. Logistic regression determined participant factors associated with emergency department use between six and 12 months after LG-CC implementation. RESULTS Of 219 participants with baseline and 12-month data, 24% reported at least one emergency department visit. Participants with a recent homelessness history (odds ratio [OR]=3.76, p=.01) or five or more care management contacts (OR=2.62, p=.05) had a higher probability of visiting an emergency department, after the analyses were adjusted for demographic and clinical factors, including physical health score and hospitalization history. CONCLUSIONS Participants in a collaborative care program who had a history of homelessness were more likely to use the emergency department, suggesting a greater need for more intensive care coordination.
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Affiliation(s)
- Jeanette Waxmonsky
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Lilia Verchinina
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Hyungjin Myra Kim
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Zongshan Lai
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Daniel Eisenberg
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Julia T Kyle
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Kristina M Nord
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Jenny H Rementer
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - David E Goodrich
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Mark S Bauer
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Marshall R Thomas
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
| | - Amy M Kilbourne
- Dr. Waxmonsky is with the Department of Family Medicine and Dr. Thomas is with the Department of Psychiatry, University of Colorado School of Medicine, Aurora. Dr. Waxmonsky is also with the Office of Healthcare Transformation, Jefferson Center for Mental Health, Wheat Ridge, Colorado. Dr. Thomas is also with Colorado Access, Denver, where Ms. Rementer is affiliated. Dr. Verchinina, Dr. Kim, Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are with the Center for Clinical Management Research, Ann Arbor U.S. Department of Veterans Affairs (VA) Healthcare System, Ann Arbor, Michigan. Dr. Kim is also with the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor. Mr. Lai, Ms. Kyle, Ms. Nord, Dr. Goodrich, and Dr. Kilbourne are also with the Department of Psychiatry, University of Michigan Medical School, Ann Arbor. Dr. Eisenberg is with the Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor. Dr. Bauer is with the Center for Healthcare Organization and Implementation Research, Boston VA Healthcare System, Jamaica Plain, Massachusetts, and with the Department of Psychiatry, Harvard Medical School, Boston. Send correspondence to Dr. Kilbourne (e-mail: )
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Goodwin GM, Haddad PM, Ferrier IN, Aronson JK, Barnes T, Cipriani A, Coghill DR, Fazel S, Geddes JR, Grunze H, Holmes EA, Howes O, Hudson S, Hunt N, Jones I, Macmillan IC, McAllister-Williams H, Miklowitz DR, Morriss R, Munafò M, Paton C, Saharkian BJ, Saunders K, Sinclair J, Taylor D, Vieta E, Young AH. Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology. J Psychopharmacol 2016; 30:495-553. [PMID: 26979387 PMCID: PMC4922419 DOI: 10.1177/0269881116636545] [Citation(s) in RCA: 499] [Impact Index Per Article: 55.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The British Association for Psychopharmacology guidelines specify the scope and targets of treatment for bipolar disorder. The third version is based explicitly on the available evidence and presented, like previous Clinical Practice Guidelines, as recommendations to aid clinical decision making for practitioners: it may also serve as a source of information for patients and carers, and assist audit. The recommendations are presented together with a more detailed review of the corresponding evidence. A consensus meeting, involving experts in bipolar disorder and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from these participants. The best evidence from randomized controlled trials and, where available, observational studies employing quasi-experimental designs was used to evaluate treatment options. The strength of recommendations has been described using the GRADE approach. The guidelines cover the diagnosis of bipolar disorder, clinical management, and strategies for the use of medicines in short-term treatment of episodes, relapse prevention and stopping treatment. The use of medication is integrated with a coherent approach to psychoeducation and behaviour change.
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Affiliation(s)
- G M Goodwin
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - P M Haddad
- Greater Manchester West Mental Health NHS Foundation Trust, Eccles, Manchester, UK
| | - I N Ferrier
- Institute of Neuroscience, Newcastle University, UK and Northumberland Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - J K Aronson
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Oxford, UK
| | - Trh Barnes
- The Centre for Mental Health, Imperial College London, Du Cane Road, London, UK
| | - A Cipriani
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - D R Coghill
- MACHS 2, Ninewells' Hospital and Medical School, Dundee, UK; now Departments of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Melbourne, VIC, Australia
| | - S Fazel
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - J R Geddes
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - H Grunze
- Univ. Klinik f. Psychiatrie u. Psychotherapie, Christian Doppler Klinik, Universitätsklinik der Paracelsus Medizinischen Privatuniversität (PMU), Salzburg, Christian Doppler Klinik Salzburg, Austria
| | - E A Holmes
- MRC Cognition & Brain Sciences Unit, Cambridge, UK
| | - O Howes
- Institute of Psychiatry (Box 67), London, UK
| | | | - N Hunt
- Fulbourn Hospital, Cambridge, UK
| | - I Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff, UK
| | - I C Macmillan
- Northumberland, Tyne and Wear NHS Foundation Trust, Queen Elizabeth Hospital, Gateshead, Tyne and Wear, UK
| | - H McAllister-Williams
- Institute of Neuroscience, Newcastle University, UK and Northumberland Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - D R Miklowitz
- UCLA Semel Institute for Neuroscience and Human Behavior, Division of Child and Adolescent Psychiatry, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - R Morriss
- Division of Psychiatry and Applied Psychology, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham, UK
| | - M Munafò
- MRC Integrative Epidemiology Unit, UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK
| | - C Paton
- Oxleas NHS Foundation Trust, Dartford, UK
| | - B J Saharkian
- Department of Psychiatry (Box 189), University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Kea Saunders
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Jma Sinclair
- University Department of Psychiatry, Southampton, UK
| | - D Taylor
- South London and Maudsley NHS Foundation Trust, Pharmacy Department, Maudsley Hospital, London, UK
| | - E Vieta
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - A H Young
- Centre for Affective Disorders, King's College London, London, UK
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