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Kroenke K, Corrigan JD, Ralston RK, Zafonte R, Brunner RC, Giacino JT, Hoffman JM, Esterov D, Cifu DX, Mellick DC, Bell K, Scott SG, Sander AM, Hammond FM. Effectiveness of care models for chronic disease management: A scoping review of systematic reviews. PM R 2024; 16:174-189. [PMID: 37329557 DOI: 10.1002/pmrj.13027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/14/2023] [Accepted: 05/31/2023] [Indexed: 06/19/2023]
Abstract
OBJECTIVE To conduct a scoping review of models of care for chronic disease management to identify potentially effective components for management of chronic traumatic brain injury (TBI). METHODS Information sources: Systematic searches of three databases (Ovid MEDLINE, Embase, and Cochrane Database of Systematic Reviews) from January 2010 to May 2021. ELIGIBILITY CRITERIA Systematic reviews and meta-analyses reporting on the effectiveness of the Chronic Care Model (CCM), collaborative/integrated care, and other chronic disease management models. DATA Target diseases, model components used (n = 11), and six outcomes (disease-specific, generic health-related quality of life and functioning, adherence, health knowledge, patient satisfaction, and cost/health care use). SYNTHESIS Narrative synthesis, including proportion of reviews documenting outcome benefits. RESULTS More than half (55%) of the 186 eligible reviews focused on collaborative/integrated care models, with 25% focusing on CCM and 20% focusing on other chronic disease management models. The most common health conditions were diabetes (n = 22), depression (n = 16), heart disease (n = 12), aging (n = 11), and kidney disease (n = 8). Other single medical conditions were the focus of 22 reviews, multiple medical conditions of 59 reviews, and other or mixed mental health/behavioral conditions of 20 reviews. Some type of quality rating for individual studies was conducted in 126 (68%) of the reviews. Of reviews that assessed particular outcomes, 80% reported disease-specific benefits, and 57% to 72% reported benefits for the other five types of outcomes. Outcomes did not differ by the model category, number or type of components, or target disease. CONCLUSIONS Although there is a paucity of evidence for TBI per se, care model components proven effective for other chronic diseases may be adaptable for chronic TBI care.
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Affiliation(s)
- Kurt Kroenke
- Department of Medicine, Indiana School of Medicine and Regenstrief Institute, Indianapolis, Indiana, USA
| | - John D Corrigan
- Department of Physical Medicine & Rehabilitation, The Ohio State University, Columbus, Ohio, USA
| | - Rick K Ralston
- Ruth Lilly Medical Library, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, and Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
| | - Robert C Brunner
- Department of Physical Medicine and Rehabilitation, University of Alabama, Birmingham, Alabama, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, and Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
| | - Jeanne M Hoffman
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Dmitry Esterov
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
| | - David X Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
- U.S. Department of Veterans Affairs, Washington, DC, USA
| | | | - Kathleen Bell
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern, Dallas, Texas, USA
| | - Steven G Scott
- Center of Innovation on Disability & Rehab Research (CINDRR), James A Haley Veterans' Hospital, Tampa, Florida, USA
| | - Angelle M Sander
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, and Brain Injury Research Center, TIRR Memorial Hermann, Houston, Texas, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Predictors and outcomes in primary depression care (POKAL) - a research training group develops an innovative approach to collaborative care. BMC PRIMARY CARE 2022; 23:309. [PMID: 36460965 PMCID: PMC9717547 DOI: 10.1186/s12875-022-01913-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 11/15/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The interdisciplinary research training group (POKAL) aims to improve care for patients with depression and multimorbidity in primary care. POKAL includes nine projects within the framework of the Chronic Care Model (CCM). In addition, POKAL will train young (mental) health professionals in research competences within primary care settings. POKAL will address specific challenges in diagnosis (reliability of diagnosis, ignoring suicidal risks), in treatment (insufficient patient involvement, highly fragmented care and inappropriate long-time anti-depressive medication) and in implementation of innovations (insufficient guideline adherence, use of irrelevant patient outcomes, ignoring relevant context factors) in primary depression care. METHODS In 2021 POKAL started with a first group of 16 trainees in general practice (GPs), pharmacy, psychology, public health, informatics, etc. The program is scheduled for at least 6 years, so a second group of trainees starting in 2024 will also have three years of research-time. Experienced principal investigators (PIs) supervise all trainees in their specific projects. All projects refer to the CCM and focus on the diagnostic, therapeutic, and implementation challenges. RESULTS The first cohort of the POKAL research training group will develop and test new depression-specific diagnostics (hermeneutical strategies, predicting models, screening for suicidal ideation), treatment (primary-care based psycho-education, modulating factors in depression monitoring, strategies of de-prescribing) and implementation in primary care (guideline implementation, use of patient-assessed data, identification of relevant context factors). Based on those results the second cohort of trainees and their PIs will run two major trials to proof innovations in primary care-based a) diagnostics and b) treatment for depression. CONCLUSION The research and training programme POKAL aims to provide appropriate approaches for depression diagnosis and treatment in primary care.
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Weijers A, Rasing S, Creemers D, Vermulst A, Schellekens AFA, Westerhof GJ. Deconstructing recovery: A prospective study on well-being, symptom severity and acceptance in patients with major depressive disorders. J Affect Disord 2022; 296:653-659. [PMID: 34579968 DOI: 10.1016/j.jad.2021.09.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 09/12/2021] [Accepted: 09/14/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Perceived well-being is key in the recovery from major depressive disorder (MDD). It is however unclear how well-being relates to other aspects of recovery, like depressive symptom severity, acceptance, disease identification and social participation. In patients with MDD we investigated 1) changes in these five concepts over time, 2) which concepts associate with well-being, and 3) whether a relationship between depressive symptoms and well-being is moderated by acceptance, disease identification and social participation. METHODS Adult outpatients with MDD (n=77) were administered the Mental Health Continuum-Short Form, the Inventory of Depressive Symptomatology, the Acceptance and Action Questionnaire-II, the Pictorial Representation of Illness and Self Measure, and the Scale Functional Remission before treatment and six months later. Changes over time were tested using paired samples t-tests, associations between concepts were tested with correlations. Regression analyses were used to test moderation effects. RESULTS Participants improved on all outcome measures. Well-being correlated moderately with depressive symptom severity (negative correlation) and acceptance at baseline, and strongly at follow-up. At follow-up well-being also correlated moderately with disease identification and social participation. No evidence for moderation was found. LIMITATIONS Recruitment in one regional mental health center might limit generalizability. Furthermore, confounding effects of psychiatric comorbidity on recovery and well-being cannot be ruled out. CONCLUSION Recovery in patients with MDD is associated with improvement on multiple outcome domains. Symptom severity and acceptance showed the strongest association with perceived well-being. Future studies should explore whether treatments targeting symptom severity and acceptance have the strongest impact on recovery.
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Affiliation(s)
| | - Sanne Rasing
- GGZ Oost Brabant, Netherlands; Radboud University, Nijmegen, Netherlands
| | - Daan Creemers
- GGZ Oost Brabant, Netherlands; Radboud University, Nijmegen, Netherlands
| | | | - Arnt F A Schellekens
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, The Netherlands; Nijmegen Institute for Science Practitioners in Addiction (NISPA), Netherlands
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Yang H, Gao S, Li J, Yu H, Xu J, Lin C, Yang H, Teng C, Ma H, Zhang N. Remission of symptoms is not equal to functional recovery: Psychosocial functioning impairment in major depression. Front Psychiatry 2022; 13:915689. [PMID: 35958633 PMCID: PMC9360322 DOI: 10.3389/fpsyt.2022.915689] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
The ultimate goal of depression treatment is to achieve functional recovery. Psychosocial functioning is the main component of functional impairment in depressed patients. The concept of psychosocial functioning has an early origin; however, its concept and connotation are still ambiguous, which is the basic and key problem faced by the relevant research and clinical application. In this study, we start from the paradox of symptoms remission and functional recovery, describe the concept, connotation, and characteristics of psychosocial functioning impairment in depressed patients, and re-emphasize its importance in depression treatment to promote research and clinical applications related to psychosocial functioning impairment in depressed patients to achieve functional recovery.
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Affiliation(s)
- Hao Yang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shuzhan Gao
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiawei Li
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Haoran Yu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingren Xu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chenchen Lin
- School of Psychology, Nanjing Normal University, Nanjing, China
| | - Hua Yang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Changjun Teng
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Ma
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ning Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Finney Rutten LJ, Ruddy KJ, Chlan LL, Griffin JM, Herrin J, Leppin AL, Pachman DR, Ridgeway JL, Rahman PA, Storlie CB, Wilson PM, Cheville AL. Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2). Trials 2020; 21:480. [PMID: 32503661 PMCID: PMC7275300 DOI: 10.1186/s13063-020-04335-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 04/21/2020] [Indexed: 01/01/2023] Open
Abstract
Background The prevalence of inadequate symptom control among cancer patients is quite high despite the availability of definitive care guidelines and accurate and efficient assessment tools. Methods We will conduct a hybrid type 2 stepped wedge pragmatic cluster randomized clinical trial to evaluate a guideline-informed enhanced, electronic health record (EHR)-facilitated cancer symptom control (E2C2) care model. Teams of clinicians at five hospitals that care for patients with various cancers will be randomly assigned in steps to the E2C2 intervention. The E2C2 intervention will have two levels of care: level 1 will offer low-touch, automated self-management support for patients reporting moderate sleep disturbance, pain, anxiety, depression, and energy deficit symptoms or limitations in physical function (or both). Level 2 will offer nurse-managed collaborative care for patients reporting more intense (severe) symptoms or functional limitations (or both). By surveying and interviewing clinical staff, we will also evaluate whether the use of a multifaceted, evidence-based implementation strategy to support adoption and use of the E2C2 technologies improves patient and clinical outcomes. Finally, we will conduct a mixed methods evaluation to identify disparities in the adoption and implementation of the E2C2 intervention among elderly and rural-dwelling patients with cancer. Discussion The E2C2 intervention offers a pragmatic, scalable approach to delivering guideline-based symptom and function management for cancer patients. Since discrete EHR-imbedded algorithms drive defining aspects of the intervention, the approach can be efficiently disseminated and updated by specifying and modifying these centralized EHR algorithms. Trial registration ClinicalTrials.gov, NCT03892967. Registered on 25 March 2019.
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Affiliation(s)
- Lila J Finney Rutten
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. .,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
| | - Kathryn J Ruddy
- Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Linda L Chlan
- Department of Nursing, Mayo Clinic, Rochester, MN, USA
| | - Joan M Griffin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Jeph Herrin
- Yale University School of Medicine, New Haven, CT, USA
| | - Aaron L Leppin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | | | - Jennifer L Ridgeway
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Parvez A Rahman
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Curtis B Storlie
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Patrick M Wilson
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Andrea L Cheville
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.,Division of Community Palliative Medicine, Mayo Clinic, Rochester, MN, USA
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Moriarty AS, Coventry PA, Hudson JL, Cook N, Fenton OJ, Bower P, Lovell K, Archer J, Clarke R, Richards DA, Dickens C, Gask L, Waheed W, Huijbregts KM, van der Feltz-Cornelis C, Ali S, Gilbody S, McMillan D. The role of relapse prevention for depression in collaborative care: A systematic review. J Affect Disord 2020; 265:618-644. [PMID: 31791677 DOI: 10.1016/j.jad.2019.11.105] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 10/01/2019] [Accepted: 11/21/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Relapse (the re-emergence of depression symptoms before full recovery) is common in depression and relapse prevention strategies are not well researched in primary care settings. Collaborative care is effective for treating acute phase depression but little is known about the use of relapse prevention strategies in collaborative care. We undertook a systematic review to identify and characterise relapse prevention strategies in the context of collaborative care. METHODS We searched for Randomised Controlled Trials (RCTs) of collaborative care for depression. In addition to published material, we obtained provider and patient manuals from authors to provide more detail on intervention content. We reported the extent to which collaborative care interventions addressed four relapse prevention components. RESULTS 93 RCTs were identified. 31 included a formal relapse prevention plan; 42 had proactive monitoring and follow-up after the acute phase; 39 reported strategies for optimising sustained medication adherence; and 20 of the trials reported psychological or psycho-educational treatments persisting beyond the acute phase or focussing on long-term health/relapse prevention. 30 (32.3%) did not report relapse prevention approaches. LIMITATIONS We did not receive trial materials for approximately half of the trials, which limited our ability to identify relevant features of intervention content. CONCLUSION Relapse is a significant risk amongst people treated for depression and interventions are needed that specifically address and minimise this risk. Given the advantages of collaborative care as a delivery system for depression care, there is scope for more consistency and increased effort to implement and evaluate relapse prevention strategies.
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Affiliation(s)
- Andrew S Moriarty
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Peter A Coventry
- Department of Health Sciences and Centre for Reviews and Dissemination, University of York, Heslington, York, YO10 5DD, UK.
| | - Joanna L Hudson
- King's College London, Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, 16 De Crespigny Park, London, SE5 8AF, UK.
| | - Natalie Cook
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Oliver J Fenton
- Tees, Esk and Wear Valleys NHS Foundation Trust, South and West Community Mental Health Team, Acomb Garth, 2 Oak Rise, York, YO24 4LJ, UK.
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Janine Archer
- School of Health and Society, University of Salford, Mary Seacole Building, Broad St, Frederick Road Campus, Salford, M6 6PU, UK.
| | - Rose Clarke
- Sheffield IAPT, St George's Community Health Centre, Winter Street, Sheffield, South Yorkshire, S3 7ND, UK.
| | - David A Richards
- Institute of Health Research, College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Chris Dickens
- Institute of Health Research, College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Linda Gask
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Waquas Waheed
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Klaas M Huijbregts
- GGNet, Mental Health, RGC SKB Winterswijk, Beatrixpark 1, 7101 BN Winterswijk, The Netherlands.
| | | | - Shehzad Ali
- Epidemiology and Biostatistics Department, Schulich School of Medicine & Dentistry, Western University, Kresge Building, Room K201, London, Ontario, N6A 5C1, Canada; Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
| | - Simon Gilbody
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Dean McMillan
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
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Hudson JL, Bower P, Kontopantelis E, Bee P, Archer J, Clarke R, Moriarty AS, Richards DA, Gilbody S, Lovell K, Dickens C, Gask L, Waheed W, Coventry PA. Impact of telephone delivered case-management on the effectiveness of collaborative care for depression and anti-depressant use: A systematic review and meta-regression. PLoS One 2019; 14:e0217948. [PMID: 31199827 PMCID: PMC6568394 DOI: 10.1371/journal.pone.0217948] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 05/21/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The health service delivery framework collaborative care is an effective intervention for depression. However, uncertainties remain about how to optimise its delivery at scale. Structured case management is a core component of collaborative care; its delivery via the telephone may improve access. AIMS To examine using meta-regression if telephone delivered case management diminishes the clinical effectiveness of collaborative care on depressive symptoms and anti-depressant use relative to face-to-face delivery methods. METHODS Randomised controlled trials were eligible if they included collaborative care interventions for adults with depression identified using self-report measures or diagnostic interviews and reported depression outcomes. Sociodemographics, intervention characteristics, depressive symptoms, and anti-depressant use were extracted. Random effects univariable and multivariable meta-regression analyses were used to examine the moderating effect of telephone delivered case-management on outcomes. RESULTS Ninety-four trials were identified comprising of 103 comparisons across 24, 132 participants with depression outcomes and 67 comparisons from 15,367 participants with anti-depressant use outcomes. Telephone delivered case management did not diminish the effects of collaborative care on depressive symptoms (β = -0.01, 95% CI -0.12 to 0.10; p = 0.86). Telephone delivered case management decreased anti-depressant medication use (relative risk 0.76, 95% CI 0.63 to 0.92; p = 0.005); this effect remained when assessed simultaneously alongside other study-level moderators of collaborative care. CONCLUSION Using remote platforms such as the telephone to deliver case management may be a feasible way to implement collaborative care with no loss of effectiveness on depressive symptoms. However, adherence to anti-depressant medication may decrease when telephone case management is used.
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Affiliation(s)
- Joanna L. Hudson
- King’s College London, Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care and Centre for Health Informatics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Evangelos Kontopantelis
- NIHR School for Primary Care Research, Centre for Primary Care and Centre for Health Informatics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Penny Bee
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
| | - Janine Archer
- School of Health and Society, University of Salford, Salford, United Kingdom
| | - Rose Clarke
- Sheffield NHS Improving Access to Psychological Therapies (IAPT), St George’s Community Health Centre, Sheffield, United Kingdom
| | - Andrew S. Moriarty
- Department of Health Sciences and Hull York Medical School, University of York, York, United Kingdom
| | - David A. Richards
- Institute of Health Research, University of Exeter College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Simon Gilbody
- Department of Health Sciences and Hull York Medical School, University of York, York, United Kingdom
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
| | - Chris Dickens
- Institute of Health Research, University of Exeter College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Linda Gask
- NIHR School for Primary Care Research, Centre for Primary Care and Centre for Health Informatics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Waquas Waheed
- NIHR School for Primary Care Research, Centre for Primary Care and Centre for Health Informatics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Peter A. Coventry
- Department for Health Sciences and Centre for Reviews and Dissemination, University of York, York, United Kingdom
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Bosanquet K, Adamson J, Atherton K, Bailey D, Baxter C, Beresford-Dent J, Birtwistle J, Chew-Graham C, Clare E, Delgadillo J, Ekers D, Foster D, Gabe R, Gascoyne S, Haley L, Hamilton J, Hargate R, Hewitt C, Holmes J, Keding A, Lewis H, McMillan D, Meer S, Mitchell N, Nutbrown S, Overend K, Parrott S, Pervin J, Richards DA, Spilsbury K, Torgerson D, Traviss-Turner G, Trépel D, Woodhouse R, Gilbody S. CollAborative care for Screen-Positive EldeRs with major depression (CASPER plus): a multicentred randomised controlled trial of clinical effectiveness and cost-effectiveness. Health Technol Assess 2018; 21:1-252. [PMID: 29171379 DOI: 10.3310/hta21670] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Depression in older adults is common and is associated with poor quality of life, increased morbidity and early mortality, and increased health and social care use. Collaborative care, a low-intensity intervention for depression that is shown to be effective in working-age adults, has not yet been evaluated in older people with depression who are managed in UK primary care. The CollAborative care for Screen-Positive EldeRs (CASPER) plus trial fills the evidence gap identified by the most recent guidelines on depression management. OBJECTIVES To establish the clinical effectiveness and cost-effectiveness of collaborative care for older adults with major depressive disorder in primary care. DESIGN A pragmatic, multicentred, two-arm, parallel, individually randomised controlled trial with embedded qualitative study. Participants were automatically randomised by computer, by the York Trials Unit Randomisation Service, on a 1 : 1 basis using simple unstratified randomisation after informed consent and baseline measures were collected. Blinding was not possible. SETTING Sixty-nine general practices in the north of England. PARTICIPANTS A total of 485 participants aged ≥ 65 years with major depressive disorder. INTERVENTIONS A low-intensity intervention of collaborative care, including behavioural activation, delivered by a case manager for an average of six sessions over 7-8 weeks, alongside usual general practitioner (GP) care. The control arm received only usual GP care. MAIN OUTCOME MEASURES The primary outcome measure was Patient Health Questionnaire-9 items score at 4 months post randomisation. Secondary outcome measures included depression severity and caseness at 12 and 18 months, the EuroQol-5 Dimensions, Short Form questionnaire-12 items, Patient Health Questionnaire-15 items, Generalised Anxiety Disorder-7 items, Connor-Davidson Resilience Scale-2 items, a medication questionnaire, objective data and adverse events. Participants were followed up at 12 and 18 months. RESULTS In total, 485 participants were randomised (collaborative care, n = 249; usual care, n = 236), with 390 participants (80%: collaborative care, 75%; usual care, 86%) followed up at 4 months, 358 participants (74%: collaborative care, 70%; usual care, 78%) followed up at 12 months and 344 participants (71%: collaborative care, 67%; usual care, 75%) followed up at 18 months. A total of 415 participants were included in primary analysis (collaborative care, n = 198; usual care, n = 217), which revealed a statistically significant effect in favour of collaborative care at the primary end point at 4 months [8.98 vs. 10.90 score points, mean difference 1.92 score points, 95% confidence interval (CI) 0.85 to 2.99 score points; p < 0.001], equivalent to a standard effect size of 0.34. However, treatment differences were not maintained in the longer term (at 12 months: 0.19 score points, 95% CI -0.92 to 1.29 score points; p = 0.741; at 18 months: < 0.01 score points, 95% CI -1.12 to 1.12 score points; p = 0.997). The study recorded details of all serious adverse events (SAEs), which consisted of 'unscheduled hospitalisation', 'other medically important condition' and 'death'. No SAEs were related to the intervention. Collaborative care showed a small but non-significant increase in quality-adjusted life-years (QALYs) over the 18-month period, with a higher cost. Overall, the mean cost per incremental QALY for collaborative care compared with usual care was £26,016; however, for participants attending six or more sessions, collaborative care appears to represent better value for money (£9876/QALY). LIMITATIONS Study limitations are identified at different stages: design (blinding unfeasible, potential contamination), process (relatively low overall consent rate, differential attrition/retention rates) and analysis (no baseline health-care resource cost or secondary/social care data). CONCLUSION Collaborative care was effective for older people with case-level depression across a range of outcomes in the short term though the reduction in depression severity was not maintained over the longer term of 12 or 18 months. Participants who received six or more sessions of collaborative care did benefit substantially more than those who received fewer treatment sessions but this difference was not statistically significant. FUTURE WORK RECOMMENDATIONS Recommendations for future research include investigating the longer-term effect of the intervention. Depression is a recurrent disorder and it would be useful to assess its impact on relapse and the prevention of future case-level depression. TRIAL REGISTRATION Current Controlled Trials ISRCTN45842879. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 21, No. 67. See the NIHR Journals Library website for further project information.
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Affiliation(s)
| | - Joy Adamson
- Department of Health Sciences, University of York, York, UK
| | - Katie Atherton
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Della Bailey
- Department of Health Sciences, University of York, York, UK
| | | | | | | | - Carolyn Chew-Graham
- Research Institute, Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK
| | - Emily Clare
- Northumberland, Tyne and Wear NHS Foundation Trust, National Institute for Health Research Clinical Research Network (Mental Health) North East and North Cumbria, Newcastle upon Tyne, UK
| | - Jaime Delgadillo
- Department of Health Sciences, University of York, York, UK.,Primary Care Mental Health Service, Leeds Community Healthcare NHS Trust, Leeds, UK
| | - David Ekers
- Mental Health Research Group, Durham University, Durham, UK.,Research and Development Department, Tees, Esk & Wear Valleys NHS Foundation Trust, Middlesbrough, UK
| | - Deborah Foster
- Department of Health Sciences, University of York, York, UK
| | - Rhian Gabe
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | | | - Lesley Haley
- Research and Development Department, Tees, Esk & Wear Valleys NHS Foundation Trust, Middlesbrough, UK
| | - Jahnese Hamilton
- Northumberland, Tyne and Wear NHS Foundation Trust, National Institute for Health Research Clinical Research Network (Mental Health) North East and North Cumbria, Newcastle upon Tyne, UK
| | | | | | - John Holmes
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Ada Keding
- Department of Health Sciences, University of York, York, UK
| | - Helen Lewis
- Department of Health Sciences, University of York, York, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - Shaista Meer
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | | | - Sarah Nutbrown
- Department of Health Sciences, University of York, York, UK
| | - Karen Overend
- Department of Health Sciences, University of York, York, UK
| | - Steve Parrott
- Department of Health Sciences, University of York, York, UK
| | - Jodi Pervin
- Department of Health Sciences, University of York, York, UK
| | - David A Richards
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | | | | | | | - Dominic Trépel
- Department of Health Sciences, University of York, York, UK
| | | | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
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9
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Body mass index and mobility limitations: An analysis of middle-aged and older Black, Hispanic, and White women in the U.S. Obes Res Clin Pract 2018; 12:547-554. [PMID: 29921542 DOI: 10.1016/j.orcp.2018.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 11/24/2022]
Abstract
INTRODUCTION While the Body Mass Index (BMI) did not change significantly for men from 2005 to 2014 in the United States, women exhibited an upward linear trend. Hispanic and Black women, in particular, showed a dramatic increase. Therefore, the objective of this study was to examine the association between BMI and mobility limitations for non-institutionalised middle-aged and older Black, Hispanic, and White women. METHODS The International Classification of Functioning, Disability, and Health model was applied to a sample of 2865 Black, 1846 Hispanic, and 9721 White women categorised as middle-aged and older (i.e., at least 50 years of age) from the 2010 and 2014 Rand Health and Retirement Study. A random effects ordered logit was employed. RESULTS After accounting for personal/activity characteristics, the analyses revealed Black women with greater BMI were associated with a higher likelihood for mobility limitations with an odds ratio of 1.11 [1.06-1.16, 95% CI]. A significant association was also found for Hispanic women with an odds ratio of 1.16 [1.11-1.23, 95% CI] and White women with an odds ratio of 1.16 [1.13-1.19, 95% CI]. Even after accounting for the possibility of endogeneity, BMI remained robust. CONCLUSION Higher-levels of BMI were associated with an increased probability for mobility limitations for Black, Hispanic, and White middle-aged and older women. Those with a vigorous exercise regimen were less likely to be in this category across all ranges of BMI. These results are useful for prioritising minority health policy, particularly given the limited amount of existing research in this specific area.
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Federici S, Bracalenti M, Meloni F, Luciano JV. World Health Organization disability assessment schedule 2.0: An international systematic review. Disabil Rehabil 2016; 39:2347-2380. [PMID: 27820966 DOI: 10.1080/09638288.2016.1223177] [Citation(s) in RCA: 221] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
PURPOSE This systematic review examines research and practical applications of the World Health Organization Disability Assessment Schedule (WHODAS 2.0) as a basis for establishing specific criteria for evaluating relevant international scientific literature. The aims were to establish the extent of international dissemination and use of WHODAS 2.0 and analyze psychometric research on its various translations and adaptations. In particular, we wanted to highlight which psychometric features have been investigated, focusing on the factor structure, reliability, and validity of this instrument. METHOD Following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, we conducted a search for publications focused on "whodas" using the ProQuest, PubMed, and Google Scholar electronic databases. RESULTS We identified 810 studies from 94 countries published between 1999 and 2015. WHODAS 2.0 has been translated into 47 languages and dialects and used in 27 areas of research (40% in psychiatry). CONCLUSIONS The growing number of studies indicates increasing interest in the WHODAS 2.0 for assessing individual functioning and disability in different settings and individual health conditions. The WHODAS 2.0 shows strong correlations with several other measures of activity limitations; probably due to the fact that it shares the same disability latent variable with them. Implications for Rehabilitation WHODAS 2.0 seems to be a valid, reliable self-report instrument for the assessment of disability. The increasing interest in use of the WHODAS 2.0 extends to rehabilitation and life sciences rather than being limited to psychiatry. WHODAS 2.0 is suitable for assessing health status and disability in a variety of settings and populations. A critical issue for rehabilitation is that a single "minimal clinically important .difference" score for the WHODAS 2.0 has not yet been established.
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Affiliation(s)
- Stefano Federici
- a Department of Philosophy, Social & Human Sciences and Education , University of Perugia , Perugia , Italy
| | - Marco Bracalenti
- a Department of Philosophy, Social & Human Sciences and Education , University of Perugia , Perugia , Italy
| | - Fabio Meloni
- a Department of Philosophy, Social & Human Sciences and Education , University of Perugia , Perugia , Italy
| | - Juan V Luciano
- b Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan De Déu , St. Boi De Llobregat , Spain.,c Primary Care Prevention and Health Promotion Research Network (RedIAPP) , Madrid , Spain
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