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Hoffman JM, Curran M, Barber J, Lucas S, Fann JR, Zumsteg JM. Collaborative Care for Chronic Pain After Traumatic Brain Injury: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2413459. [PMID: 38829619 PMCID: PMC11148690 DOI: 10.1001/jamanetworkopen.2024.13459] [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: 11/16/2023] [Accepted: 03/26/2024] [Indexed: 06/05/2024] Open
Abstract
Importance Chronic pain after traumatic brain injury (TBI) is prevalent and associated with poor outcomes. By providing multidisciplinary care through expert consultation, a collaborative care (CC) treatment approach may reduce pain interference. Objective To compare CC with usual care (UC) in decreasing pain interference. Design, Setting, and Participants This randomized clinical trial was conducted from July 2018 through April 2021 at 2 hospital-based academic rehabilitation medicine clinics in Seattle, Washington. Participants included adults with mild-to-severe TBI (at least 6 months before enrollment) and chronic pain. Data analysis was performed from March 30, 2022, to August 30, 2023. Intervention The CC intervention (called TBI Care) included up to 12 in-person or telephone visits over 16 weeks with a care manager (CM) who provided person-centered cognitive behavioral treatment. The CM met weekly with members of the expert team to review participants and discuss recommendations to optimize treatment. Main Outcomes and Measures The primary outcome was pain interference on the Brief Pain Inventory at treatment conclusion (4 months after randomization). Secondary outcomes included pain interference at 8 months; pain severity; symptoms of depression, anxiety, and sleep disturbance; pain-related emergency department visits; community participation; and participant satisfaction. Linear mixed-effects regression was used for analysis. Results A total of 1379 individuals were screened for eligibility, and 158 were randomized (79 to CC and 79 to UC). The participants were mostly women (92 participants [58%]) with a mean (SD) age of 46.8 (13.2) years and a mean (SD) of 15.3 (3.0) years of education. TBI occurred a mean (SD) of 4.0 (5.9) years (median [IQR], 1.9 [0.8-4.5] years) before enrollment. All TBI severities were included, and of 149 participants for whom TBI severity was known, the majority (97 participants [65%]) had mild TBI. In the CC group, 71 participants (90%) completed at least 11 sessions, and, at 4 months, this group had significantly lower pain interference scores compared with the UC group (mean [SD], 3.46 [2.17] vs 5.03 [2.28]). This difference was maintained at 8 months after randomization, with mean (SD) TBI care pain interference scores of 3.61 (2.22) for CC vs 4.68 (2.51) for UC. At 4 months, there was significantly lower pain severity in the CC group vs UC group (mean [SD] score, 3.63 [1.95] vs 4.90 [1.96]), as well as symptoms of depression (mean [SD] score, 8.07 [5.34] vs 11.31 [6.37]) and anxiety (mean [SD], 6.20 [5.17] vs 9.58 [6.00]). Satisfaction with pain treatment (mean [SD] score, 2.99 [1.23] vs 2.52 [1.25]), clinical care (mean [SD] score, 3.28 [1.00] vs 2.84 [1.26]), and overall health care (mean [SD] score, 3.25 [0.88] vs 2.82 [1.00]) were significantly higher in the CC group vs the UC group; global impression of change was significantly lower in the CC group vs the UC group (mean [SD] score, 2.74 [1.02] vs 3.47 [1.26]) (lower scores denote a better impression of change). Conclusions and Relevance In this randomized clinical trial of CC compared with UC for patients with TBI, CC was effective at reducing pain interference and was sustained at 8-month follow-up. Further research is needed to examine the implementation and cost-effectiveness of CC for TBI in other health care settings. Trial Registration ClinicalTrials.gov Identifier: NCT03523923.
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Affiliation(s)
- Jeanne M. Hoffman
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle
| | - Mary Curran
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle
| | - Jason Barber
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle
| | - Sylvia Lucas
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle
- Department of Neurology, University of Washington School of Medicine, Seattle
| | - Jesse R. Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle
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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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Turk F, Sweetman J, Allsopp G, Crooks M, Cuthbertson DJ, Gabbay M, Hishmeh L, Lip GYH, Strain WD, Williams N, Wootton D, Banerjee A, van der Feltz-Cornelis C. Pathways to care for Long COVID and for long-term conditions from patients' and clinicians' perspective. J Evid Based Med 2023; 16:435-437. [PMID: 38037477 DOI: 10.1111/jebm.12563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 10/04/2023] [Accepted: 11/22/2023] [Indexed: 12/02/2023]
Affiliation(s)
- Fidan Turk
- Department of Health Sciences, University of York, York, UK
| | | | - Gail Allsopp
- CCG, NHS Derby and Derbyshire Foundation Trust, London, UK
| | - Michael Crooks
- Hull York Medical School, (HYMS), University of Hull, Hull, UK
- Department of Respiratory Medicine, Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Dan J Cuthbertson
- Institute of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
| | - Mark Gabbay
- Department of Primary Care & Mental Health, University of Liverpool, Liverpool, UK
- NWC, NIHR ARC NWC, Liverpool, UK
| | - Lyth Hishmeh
- Expert Advisor on the NICE Long Covid Panel, Oxford, UK
- PPI Member STIMULATE-ICP, London, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, Liverpool John Moores University Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Danish Center for Clinical Health Services Research, Aalborg University, Aalborg, Denmark
| | - W David Strain
- Diabetes and Vascular Medicine Research Centre, Institute of Biomedical and Clinical Science and College of Medicine and Health, University of Exeter, Exeter, UK
| | - Nefyn Williams
- Department of Primary Care & Mental Health, University of Liverpool, Liverpool, UK
| | - Dan Wootton
- Institute of Infection Veterinary and Ecological Sciences and NIHR HPRU in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, UK
- Institute of Infection, Veterinary and Ecological Sciences (IVES), Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Amitava Banerjee
- Department of Cardiology, University College London Hospitals NHS Trust, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Christina van der Feltz-Cornelis
- Department of Health Sciences, University of York, York, UK
- Institute of Health Informatics, University College London, London, UK
- Hull York Medical School, (HYMS), University of York, York, UK
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Meinlschmidt G, Frick A, Baenteli I, Karpf C, Studer A, Bachmann M, Dörner A, Tschudin S, Trost S, Wyss K, Fink G, Schwenkglenks M, Caviezel S, Rocco T, Schaefert R. Prevention of psychosocial distress consequences in somatic hospital inpatients via a stepped and collaborative care model: protocol of SomPsyNet, a stepped wedge cluster randomised trial. BMJ Open 2023; 13:e076814. [PMID: 37996236 PMCID: PMC10668178 DOI: 10.1136/bmjopen-2023-076814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/16/2023] [Indexed: 11/25/2023] Open
Abstract
INTRODUCTION Approximately 30% of somatic hospital inpatients experience psychosocial distress, contributing to increased (re-)hospitalisation rates, treatment resistance, morbidity, and direct and indirect costs. However, such distress often remains unrecognised and unaddressed. We established 'SomPsyNet', a 'stepped and collaborative care model' (SCCM) for somatic hospital inpatients, aiming at alleviating this issue through early identification of distress and provision of appropriate care, providing problem-focused pathways and strengthening collaborative care. We report the protocol of the 'SomPsyNet' study, aiming to evaluate implementation and impact of the SCCM on distressed patients' health-related quality of life. Secondary objectives include assessing efficacy of the screening procedures, influence of SCCM on other health outcomes and associated costs. METHODS AND ANALYSIS Our stepped wedge cluster randomised trial conducted at three tertiary hospitals comprises three conditions: treatment as usual (TAU) without screening for distress (phase 0), TAU with screening but without consequences (phase I, main comparator) and TAU with screening and psychosomatic-psychiatric consultations for those distressed (phase II). The time-of-transition between phases I and II was randomised. Sample size target is N=2200-2500 participants, with 6 month follow-up for distressed (anticipated n=640-700) and a subsample of non-distressed (anticipated n=200) patients. Primary outcome is mental health-related quality of life (SF-36 'Mental Health Component Summary score'); secondary outcomes include psychosocial distress, anxiety, depressive and somatic symptoms, symptom burden and distress, resilience, social support and qualitative of life, assessed by internationally accepted instruments, with good psychometric properties. Further, health claims data will be used to assess SCCM's impact on direct and indirect costs. ETHICS AND DISSEMINATION SomPsyNet adheres to the Helsinki Declaration and is approved by the 'Ethikkommission Nordwest- und Zentralschweiz' (2019-01724). Findings will be published in peer-reviewed journals and communicated to participants, healthcare professionals and the public. TRIAL REGISTRATION NUMBER Swiss National Clinical Trials Portal; ClinicalTrials.gov (NCT04269005, updated 19.09.2023).
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Affiliation(s)
- Gunther Meinlschmidt
- Department of Digital and Blended Psychosomatics and Psychotherapy, Psychosomatic Medicine, University of Basel, Basel, Switzerland
- Clinical Psychology and Psychotherapy (focus CBT), International Psychoanalytic University Berlin gGmbH, Berlin, Germany
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Alexander Frick
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
| | - Iris Baenteli
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Christina Karpf
- Division of Prevention, Department of Health Canton Basel-Stadt, Basel, Switzerland
| | - Anja Studer
- Division of Prevention, Department of Health Canton Basel-Stadt, Basel, Switzerland
| | - Marco Bachmann
- Department of Psychosomatic Medicine and Psychotherapy, Klinik Barmelweid AG, Barmelweid, Switzerland
| | | | - Sibil Tschudin
- Department of Obstetrics and Gynecology, University Hospital Basel, Basel, Switzerland
- Department of Obstetrics and Gynecology, University of Basel, Basel, Switzerland
| | - Sarah Trost
- Department of Geriatric Medicine, Universitäre Altersmedizin FELIX PLATTER, Basel, Switzerland
| | - Kaspar Wyss
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Günther Fink
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Matthias Schwenkglenks
- Health Economics Facility, Department of Public Health, University of Basel, Basel, Switzerland
| | - Seraina Caviezel
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Tabea Rocco
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
| | - Rainer Schaefert
- Department of Psychosomatic Medicine, University Hospital Basel, Basel, Switzerland
- Department of Psychosomatic Medicine, University of Basel, Basel, Switzerland
- Department of Psychosomatics and Psychiatry, Bethesda Hospital Basel, Basel, Switzerland
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Msosa YJ, Grauslys A, Zhou Y, Wang T, Buchan I, Langan P, Foster S, Walker M, Pearson M, Folarin A, Roberts A, Maskell S, Dobson R, Kullu C, Kehoe D. Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. IEEE J Biomed Health Inform 2023; 27:5588-5598. [PMID: 37669205 DOI: 10.1109/jbhi.2023.3312011] [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] [Indexed: 09/07/2023]
Abstract
Depression is a common mental health condition that often occurs in association with other chronic illnesses, and varies considerably in severity. Electronic Health Records (EHRs) contain rich information about a patient's medical history and can be used to train, test and maintain predictive models to support and improve patient care. This work evaluated the feasibility of implementing an environment for predicting mental health crisis among people living with depression based on both structured and unstructured EHRs. A large EHR from a mental health provider, Mersey Care, was pseudonymised and ingested into the Natural Language Processing (NLP) platform CogStack, allowing text content in binary clinical notes to be extracted. All unstructured clinical notes and summaries were semantically annotated by MedCAT and BioYODIE NLP services. Cases of crisis in patients with depression were then identified. Random forest models, gradient boosting trees, and Long Short-Term Memory (LSTM) networks, with varying feature arrangement, were trained to predict the occurrence of crisis. The results showed that all the prediction models can use a combination of structured and unstructured EHR information to predict crisis in patients with depression with good and useful accuracy. The LSTM network that was trained on a modified dataset with only 1000 most-important features from the random forest model with temporality showed the best performance with a mean AUC of 0.901 and a standard deviation of 0.006 using a training dataset and a mean AUC of 0.810 and 0.01 using a hold-out test dataset. Comparing the results from the technical evaluation with the views of psychiatrists shows that there are now opportunities to refine and integrate such prediction models into pragmatic point-of-care clinical decision support tools for supporting mental healthcare delivery.
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Berk M, Köhler-Forsberg O, Turner M, Penninx BWJH, Wrobel A, Firth J, Loughman A, Reavley NJ, McGrath JJ, Momen NC, Plana-Ripoll O, O'Neil A, Siskind D, Williams LJ, Carvalho AF, Schmaal L, Walker AJ, Dean O, Walder K, Berk L, Dodd S, Yung AR, Marx W. Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management. World Psychiatry 2023; 22:366-387. [PMID: 37713568 PMCID: PMC10503929 DOI: 10.1002/wps.21110] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
Populations with common physical diseases - such as cardiovascular diseases, cancer and neurodegenerative disorders - experience substantially higher rates of major depressive disorder (MDD) than the general population. On the other hand, people living with MDD have a greater risk for many physical diseases. This high level of comorbidity is associated with worse outcomes, reduced adherence to treatment, increased mortality, and greater health care utilization and costs. Comorbidity can also result in a range of clinical challenges, such as a more complicated therapeutic alliance, issues pertaining to adaptive health behaviors, drug-drug interactions and adverse events induced by medications used for physical and mental disorders. Potential explanations for the high prevalence of the above comorbidity involve shared genetic and biological pathways. These latter include inflammation, the gut microbiome, mitochondrial function and energy metabolism, hypothalamic-pituitary-adrenal axis dysregulation, and brain structure and function. Furthermore, MDD and physical diseases have in common several antecedents related to social factors (e.g., socioeconomic status), lifestyle variables (e.g., physical activity, diet, sleep), and stressful live events (e.g., childhood trauma). Pharmacotherapies and psychotherapies are effective treatments for comorbid MDD, and the introduction of lifestyle interventions as well as collaborative care models and digital technologies provide promising strategies for improving management. This paper aims to provide a detailed overview of the epidemiology of the comorbidity of MDD and specific physical diseases, including prevalence and bidirectional risk; of shared biological pathways potentially implicated in the pathogenesis of MDD and common physical diseases; of socio-environmental factors that serve as both shared risk and protective factors; and of management of MDD and physical diseases, including prevention and treatment. We conclude with future directions and emerging research related to optimal care of people with comorbid MDD and physical diseases.
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Affiliation(s)
- Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Megan Turner
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Brenda W J H Penninx
- Department of Psychiatry and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Anna Wrobel
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Amy Loughman
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Nicola J Reavley
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - John J McGrath
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Natalie C Momen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Oleguer Plana-Ripoll
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Dan Siskind
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Lana J Williams
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Andre F Carvalho
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lianne Schmaal
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Adam J Walker
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Olivia Dean
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ken Walder
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lesley Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Seetal Dodd
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Wolfgang Marx
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
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van der Feltz-Cornelis C, Attree E, Heightman M, Gabbay M, Allsopp G. Integrated care pathways: a new approach for integrated care systems. Br J Gen Pract 2023; 73:422. [PMID: 37652731 PMCID: PMC10471334 DOI: 10.3399/bjgp23x734925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
Affiliation(s)
- Christina van der Feltz-Cornelis
- Department of Health Sciences, Hull York Medical School, University of York, York; Institute of Health Informatics, University College London, London
| | - Emily Attree
- Ridgmount Practice and the Lawson Practice, London; Quality Improvement Clinical Lead, Central Camden Primary Care Network, PPI STIMULATE-ICP, London
| | - Mel Heightman
- Consultant Respiratory Physician and Deputy Clinical Divisional Director for Medical Specialities, University College London Hospital, London
| | - Mark Gabbay
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool; Academic Associate GP, Brownlow Health, Liverpool; National Institute of Health and Care Research Applied Research Collaboration North West Coast, Liverpool
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Rohwer A, Toews I, Uwimana-Nicol J, Nyirenda JLZ, Niyibizi JB, Akiteng AR, Meerpohl JJ, Bavuma CM, Kredo T, Young T. Models of integrated care for multi-morbidity assessed in systematic reviews: a scoping review. BMC Health Serv Res 2023; 23:894. [PMID: 37612604 PMCID: PMC10463690 DOI: 10.1186/s12913-023-09894-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/10/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND The prevalence of multi-morbidity is increasing globally. Integrated models of care present a potential intervention to improve patient and health system outcomes. However, the intervention components and concepts within different models of care vary widely and their effectiveness remains unclear. We aimed to describe and map the definitions, characteristics, components, and reported effects of integrated models of care in systematic reviews (SRs). METHODS We conducted a scoping review of SRs according to pre-specified methods (PROSPERO 2019 CRD42019119265). Eligible SRs assessed integrated models of care at primary health care level for adults and children with multi-morbidity. We searched in PubMed (MEDLINE), Embase, Cochrane Database of Systematic Reviews, Epistemonikos, and Health Systems Evidence up to 3 May 2022. Two authors independently assessed eligibility of SRs and extracted data. We identified and described common components of integrated care across SRs. We extracted findings of the SRs as presented in the conclusions and reported on these verbatim. RESULTS We included 22 SRs, examining data from randomised controlled trials and observational studies conducted across the world. Definitions and descriptions of models of integrated care varied considerably. However, across SRs, we identified and described six common components of integrated care: (1) chronic conditions addressed, (2) where services were provided, (3) the type of services provided, (4) healthcare professionals involved in care, (5) coordination and organisation of care and (6) patient involvement in care. We observed differences in the components of integrated care according to the income setting of the included studies. Some SRs reported that integrated care was beneficial for health and process outcomes, while others found no difference in effect when comparing integrated care to other models of care. CONCLUSIONS Integrated models of care were heterogeneous within and across SRs. Information that allows the identification of effective components of integrated care was lacking. Detailed, standardised and transparent reporting of the intervention components and their effectiveness on health and process outcomes is needed.
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Affiliation(s)
- Anke Rohwer
- Centre for Evidence-based Health Care, Division Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Ingrid Toews
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Jeannine Uwimana-Nicol
- Centre for Evidence-based Health Care, Division Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - John L Z Nyirenda
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | | | - Ann R Akiteng
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Joerg J Meerpohl
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Charlotte M Bavuma
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
- Kigali University Teaching Hospital, Kigali, Rwanda
| | - Tamara Kredo
- South African Medical Research Council, Cochrane South Africa, Cape Town, South Africa
- Division of Clinical Pharmacology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Taryn Young
- Centre for Evidence-based Health Care, Division Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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9
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Felez-Nobrega M, Koyanagi A. Health status and quality of life in comorbid physical multimorbidity and depression among adults aged ⩾50 years from low- and middle-income countries. Int J Soc Psychiatry 2023; 69:1250-1259. [PMID: 36825661 DOI: 10.1177/00207640231157253] [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: 02/25/2023]
Abstract
BACKGROUND Data on the clinical and functional significance of comorbid depression in physical multimorbidity in middle-aged and older adults and from low- and middle-income countries (LMICs) are lacking. AIMS This study aims to determine the association of comorbid depression in physical multimorbidity with health outcomes and quality of life among adults aged ⩾50 years from six LMICs. METHODS Cross-sectional, nationally representative data from the Study on Global Ageing and Adult Health were analyzed. DSM-IV Depression was based on past 12-month symptoms. Eleven chronic physical conditions were assessed. Health status was based on scales ranging from 0 (best) to 100 (worse). The quality of life (8-item WHO Quality of Life) scale ranged from 0 (worse) to 100 (best). Multivariable linear regression analyses were conducted. RESULTS Data on 34,129 individuals aged ⩾50 years [mean (SD) age 62.4 (16.0) years; 52.1% females] were analyzed. Among people with physical multimorbidity, having comorbid depression was associated with significantly worse health status in terms of sleep/energy (β = 14.71: 95% CI [12.23, 17.20]), self-care (13.23: [8.66, 17.82]), pain/discomfort (13.03: [9.59, 16.47]), mobility (11.06: [6.91, 15.21]), cognition (10.41: [7.31, 13.50]), perceived stress (8.35: [4.71, 11.99]), interpersonal activities (7.81: [3.71, 11.91]), and lower quality of life (-8.81: [-10.74, -6.88]). CONCLUSIONS Comorbid depression in physical multimorbidity was associated with lower quality of life and poorer scores in multiple domains of health status. Treatment of depression in people with physical multimorbidity may potentially lead to better clinical outcomes, but future studies are needed to determine the most effective intervention to address this comorbidity in LMICs.
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Affiliation(s)
- Mireia Felez-Nobrega
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
- Centre for Biomedical Research on Mental Health (CIBERSAM), ISCIII, Spain
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
- Centre for Biomedical Research on Mental Health (CIBERSAM), ISCIII, Spain
- ICREA, Pg. Lluis Companys 23, Barcelona, Spain
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Aebi NJ, Baenteli I, Fink G, Meinlschmidt G, Schaefert R, Schwenkglenks M, Studer A, Trost S, Tschudin S, Wyss K. Facilitators and barriers of routine psychosocial distress assessment within a stepped and collaborative care model in a Swiss hospital setting. PLoS One 2023; 18:e0285395. [PMID: 37390066 PMCID: PMC10313032 DOI: 10.1371/journal.pone.0285395] [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: 06/08/2022] [Accepted: 04/24/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Stepped and Collaborative Care Models (SCCMs) have shown potential for improving mental health care. Most SCCMs have been used in primary care settings. At the core of such models are initial psychosocial distress assessments commonly in form of patient screening. We aimed to assess the feasibility of such assessments in a general hospital setting in Switzerland. METHODS We conducted and analyzed eighteen semi-structured interviews with nurses and physicians involved in a recent introduction of a SCCM model in a hospital setting, as part of the SomPsyNet project in Basel-Stadt. Following an implementation research approach, we used the Tailored Implementation for Chronic Diseases (TICD) framework for analysis. The TICD distinguishes seven domains: guideline factors, individual healthcare professional factors, patient factors, professional interactions, incentives and resources, capacity for organizational change, and social, political, and legal factors. Domains were split into themes and subthemes, which were used for line-by-line coding. RESULTS Nurses and physicians reported factors belonging to all seven TICD domains. An appropriate integration of the psychosocial distress assessment into preexisting hospital processes and information technology systems was the most important facilitator. Subjectivity of the assessment, lack of awareness about the assessment, and time constraints, particularly among physicians, were factors undermining and limiting the implementation of the psychosocial distress assessment. CONCLUSIONS Awareness raising through regular training of new employees, feedback on performance and patient benefits, and working with champions and opinion leaders can likely support a successful implementation of routine psychosocial distress assessments. Additionally, aligning psychosocial distress assessments with workflows is essential to assure the sustainability of the procedure in a working context with commonly limited time.
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Affiliation(s)
- Nicola Julia Aebi
- Swiss Center for International Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Iris Baenteli
- Department of Psychosomatic Medicine, University Hospital and University of Basel, Basel, Switzerland
| | - Günther Fink
- University of Basel, Basel, Switzerland
- Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Gunther Meinlschmidt
- Department of Psychosomatic Medicine, University Hospital and University of Basel, Basel, Switzerland
- Division of Clinical Psychology and Cognitive Behavioural Therapy, International Psychoanalytic University Berlin, Berlin, Germany
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland
| | - Rainer Schaefert
- Department of Psychosomatic Medicine, University Hospital and University of Basel, Basel, Switzerland
| | | | - Anja Studer
- Division of Prevention, Department of Health Canton Basel-Stadt, Basel, Switzerland
| | - Sarah Trost
- Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
| | - Sibil Tschudin
- Department of Obstetrics and Gynecology, University Hospital and University of Basel, Basel, Switzerland
| | - Kaspar Wyss
- Swiss Center for International Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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11
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af Winklerfelt Hammarberg S, Björkelund C, Nejati S, Magnil M, Hange D, Svenningsson I, Petersson EL, André M, Udo C, Ariai N, Wallin L, Wikberg C, Westman J. Clinical effectiveness of care managers in collaborative primary health care for patients with depression: 12- and 24-month follow-up of a pragmatic cluster randomized controlled trial. BMC PRIMARY CARE 2022; 23:198. [PMID: 35945493 PMCID: PMC9361666 DOI: 10.1186/s12875-022-01803-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 07/18/2022] [Indexed: 11/16/2022]
Abstract
Background In previous studies, we investigated the effects of a care manager intervention for patients with depression treated in primary health care. At 6 months, care management improved depressive symptoms, remission, return to work, and adherence to anti-depressive medication more than care as usual. The aim of this study was to compare the long-term effectiveness of care management and usual care for primary care patients with depression on depressive symptoms, remission, quality of life, self-efficacy, confidence in care, and quality of care 12 and 24 months after the start of the intervention. Methods Cluster randomized controlled trial that included 23 primary care centers (11 intervention, 12 control) in the regions of Västra Götaland and Dalarna, Sweden. Patients ≥18 years with newly diagnosed mild to moderate depression (n = 376: 192 intervention, 184 control) were included. Patients at intervention centers co-developed a structured depression care plan with a care manager. Via 6 to 8 telephone contacts over 12 weeks, the care manager followed up symptoms and treatment, encouraged behavioral activation, provided education, and communicated with the patient’s general practitioner as needed. Patients at control centers received usual care. Adjusted mixed model repeated measure analysis was conducted on data gathered at 12 and 24 months on depressive symptoms and remission (MADRS-S); quality of life (EQ5D); and self-efficacy, confidence in care, and quality of care (study-specific questionnaire). Results The intervention group had less severe depressive symptoms than the control group at 12 (P = 0.02) but not 24 months (P = 0.83). They reported higher quality of life at 12 (P = 0.01) but not 24 months (P = 0.88). Differences in remission and self-efficacy were not significant, but patients in the intervention group were more confident that they could get information (53% vs 38%; P = 0.02) and professional emotional support (51% vs 40%; P = 0.05) from the primary care center. Conclusions Patients with depression who had a care manager maintained their 6-month improvements in symptoms at the 12- and 24-month follow-ups. Without a care manager, recovery could take up to 24 months. Patients with care managers also had significantly more confidence in primary care and belief in future support than controls. Trial registration ClinicalTrials.gov identifier: NCT02378272. Submitted 2/2/2015. Posted 4/3/2015. Supplementary Information The online version contains supplementary material available at 10.1186/s12875-022-01803-x.
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12
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Freedland KE, Skala JA, Carney RM, Steinmeyer BC, Rubin EH, Rich MW. Sequential Interventions for Major Depression and Heart Failure Self-Care: A Randomized Clinical Trial. Circ Heart Fail 2022; 15:e009422. [PMID: 35973032 PMCID: PMC9389592 DOI: 10.1161/circheartfailure.121.009422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Major depression and inadequate self-care are common in patients with heart failure (HF). Little is known about how to intervene when both problems are present. This study examined the efficacy of a sequential approach to treating these problems. METHODS Stepped Care for Depression in HF was a single-site, single-blind, randomized controlled trial of cognitive behavior therapy (CBT) versus usual care (UC) for major depression in patients with HF. The intensive phase of the CBT intervention lasted between 8 and 16 weeks, depending upon the rate of improvement in depression. All participants received a tailored HF self-care intervention that began 8 weeks after randomization. The intensive phase of the self-care intervention ended at 16 weeks post-randomization. The coprimary outcome measures were the Beck Depression Inventory (version 2) and the Maintenance scale of the Self-Care of HF Index (v6.2) at week 16. RESULTS One hundred thirty-nine patients with HF and major depression were enrolled; 70 were randomized to UC and 69 to CBT. At week 16, the patients in the CBT arm scored 4.0 points ([95% CI, -7.3 to -0.8]; P=0.02) lower on the Beck Depression Inventory, version 2 than those in the usual care arm. Mean scores on the Self-Care of HF Index Maintenance scale were not significantly different between the groups ([95% CI, -6.5 to 1.5]; P=0.22). CONCLUSIONS CBT is more effective than usual care for major depression in patients with HF. However, initiating CBT before starting a tailored HF self-care intervention does not increase the benefit of the self-care intervention. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT02997865.
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Affiliation(s)
- Kenneth E. Freedland
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Judith A. Skala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Robert M. Carney
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Brian C. Steinmeyer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Eugene H. Rubin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Michael W. Rich
- Cardiovascular Division of the Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
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13
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Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P, Furukawa TA, Kessler RC, Kohrt BA, Maj M, McGorry P, Reynolds CF, Weissman MM, Chibanda D, Dowrick C, Howard LM, Hoven CW, Knapp M, Mayberg HS, Penninx BWJH, Xiao S, Trivedi M, Uher R, Vijayakumar L, Wolpert M. Time for united action on depression: a Lancet-World Psychiatric Association Commission. Lancet 2022; 399:957-1022. [PMID: 35180424 DOI: 10.1016/s0140-6736(21)02141-3] [Citation(s) in RCA: 301] [Impact Index Per Article: 150.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 09/15/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Helen Herrman
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Sangath, Goa, India; Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Christian Kieling
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Michael Berk
- Deakin University, IMPACT Institute, Geelong, VIC, Australia
| | - Claudia Buchweitz
- Graduate Program in Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Toshiaki A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Brandon A Kohrt
- Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
| | - Mario Maj
- Department of Psychiatry, University of Campania L Vanvitelli, Naples, Italy
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Charles F Reynolds
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Myrna M Weissman
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Dixon Chibanda
- Department of Psychiatry, University of Zimbabwe, Harare, Zimbabwe; Centre for Global Mental Health, The London School of Hygiene and Tropical Medicine, London, UK
| | - Christopher Dowrick
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Louise M Howard
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christina W Hoven
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Martin Knapp
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Helen S Mayberg
- Departments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Shuiyuan Xiao
- Central South University Xiangya School of Public Health, Changsha, China
| | - Madhukar Trivedi
- Peter O'Donnell Jr Brain Institute and the Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - Lakshmi Vijayakumar
- Sneha, Suicide Prevention Centre and Voluntary Health Services, Chennai, India
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14
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Howland M, Tennant M, Bowen DJ, Bauer AM, Fortney JC, Pyne JM, Shore J, Cerimele JM. Psychiatrist and Psychologist Experiences with Telehealth and Remote Collaborative Care in Primary Care: A Qualitative Study. J Rural Health 2021; 37:780-787. [PMID: 33022079 PMCID: PMC8518862 DOI: 10.1111/jrh.12523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE Availability of mental health services is limited in the rural United States. Two promising models to reach patients with limited access to care are telehealth referral and collaborative care. The objective of this study was to assess telepsychiatrist- and telepsychologist-level facilitators and barriers to satisfaction with and implementation of these 2 telehealth models in rural settings. METHODS Focus groups were held in 2019 using a semistructured interview guide. Participants were off-site telepsychiatrists (N = 10) and telepsychologists (N = 4) for primary care clinics across 3 states (Washington, Michigan, and Arkansas) involved in a recent pragmatic comparative effectiveness trial. Qualitative analysis occurred inductively by 2 independent coders. FINDINGS Participants were satisfied with the models partly owing to good patient rapport and expanding access to care. Teamwork was highlighted as a facilitator in collaborative care and was often related to work with care managers. However, participants described communication with primary care providers as a challenge, especially in the telehealth referral arm. Barriers centered on variability of logistical processes (eg, symptom monitoring, scheduling, electronic medical record processes, and credentialing) among sites. Staff turnover, variable clinic investment, and inadequacy of training were possible explanations for these barriers. CONCLUSIONS Participants described high motivation to provide team-based, remote care for patients, though they experienced operational challenges. Centralized credentialing, scheduling, and record keeping are possible solutions. These findings are important because consulting psychiatrists and psychologists may play a leadership role in the dissemination of these models.
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Affiliation(s)
- Molly Howland
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashington
| | - McKenna Tennant
- Department of Public Health GeneticsUniversity of Washington School of Public HealthSeattleWashington
| | - Deborah J. Bowen
- Department of Bioethics and HumanitiesUniversity of WashingtonSeattleWashington
| | - Amy M. Bauer
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashington
| | - John C. Fortney
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashington
- Department of Veterans Affairs, HSR&D Center of Innovation for Veteran‐Centered and Value‐Driven CareVA Puget Sound Health Care SystemSeattleWashington
- Department of Health ServicesUniversity of Washington School of Public HealthSeattleWashington
| | - Jeffrey M. Pyne
- Department of Psychiatry and Behavioral Sciences, College of MedicineUniversity of Arkansas for Medical SciencesLittle RockArkansas
| | - Jay Shore
- Helen and Arthur E. Johnson Depression Center, Anschutz Medical Campus, Departments of Psychiatry and Family MedicineUniversity of Colorado School of MedicineAuroraColorado
- Centers for American Indian and Alaska Native Health, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColorado
| | - Joseph M. Cerimele
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashington
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15
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Swietek KE, Domino ME, Grove LR, Beadles C, Ellis AR, Farley JF, Jackson C, Lichstein JC, DuBard CA. Duration of medical home participation and quality of care for patients with chronic conditions. Health Serv Res 2021; 56 Suppl 1:1069-1079. [DOI: 10.1111/1475-6773.13710] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 11/30/2022] Open
Affiliation(s)
| | - Marisa Elena Domino
- Department of Health Policy and Management, The Gillings School of Global Public Health The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
- Cecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | - Lexie R. Grove
- Department of Health Policy and Management, The Gillings School of Global Public Health The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | - Chris Beadles
- Health Care Quality and Outcomes Program RTI International Research Triangle Park North Carolina USA
| | - Alan R. Ellis
- School of Social Work North Carolina State University Raleigh North Carolina USA
| | - Joel F. Farley
- College of Pharmacy University of Minnesota Minneapolis Minnesota USA
| | - Carlos Jackson
- Community Care of North Carolina, Inc. Cary North Carolina USA
| | - Jesse C. Lichstein
- Department of Health Policy and Management, The Gillings School of Global Public Health The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
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Association of Depression and Anxiety With Expectations and Satisfaction in Foot and Ankle Surgery. J Am Acad Orthop Surg 2021; 29:714-722. [PMID: 34142981 DOI: 10.5435/jaaos-d-20-01394] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 05/23/2021] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Mental health diagnoses involving depression or anxiety are common and can have a dramatic effect on patients with musculoskeletal pathologies. In orthopaedics, depression/anxiety (D/A) is associated with worse postoperative patient-reported outcomes. However, few studies have assessed the effect of D/A on expectations and satisfaction in foot and ankle patients. METHODS Adult patients undergoing elective foot and ankle surgery were prospectively enrolled. Preoperatively, patients completed the eight-item Patient Health Questionnaire Depression Scale, Generalized Anxiety Disorder Screener-7, Foot and Ankle Outcome Score (FAOS), and Expectations Survey. At 2 years postoperatively, surveys including satisfaction, improvement, and fulfillment of expectations were administered. Fulfillment of expectations (fulfillment proportion) and FAOS scores were compared between patients with D/A and non-D/A patients. RESULTS Of 340 patients initially surveyed, 271 (80%) completed 2-year postoperative expectations surveys. One in five patients had D/A symptoms. Preoperatively, D/A patients had greater expectations of surgery (P = 0.015). After adjusting for measured confounders, the average 2-year postoperative fulfillment proportion was not significantly lower among D/A compared with non-D/A (0.86 versus 0.78, P = 0.2284). Although FAOS scores improved postoperatively for both groups, D/A patients had significantly lower preoperative and postoperative FAOS scores for domains of symptoms, activity, and quality of life (P < 0.05 for all). D/A patients reported less improvement (P = 0.036) and less satisfaction (P = 0.005) and were less likely willing to recommend surgery to others (P = 0.011). DISCUSSION Patients with D/A symptoms had higher preoperative expectations of surgery. Although D/A patients had statistically similar rates of fulfillment of expectations compared with non-D/A patients, they had markedly lower FAOS scores for domains of symptoms, activity, and quality of life. D/A patients also perceived less improvement and were more often dissatisfied with their outcomes. These findings should not dissuade providers from treating these patients surgically but rather emphasize the importance of careful patient selection and preoperative expectation management. LEVEL OF EVIDENCE Level III; retrospective review of prospective cohort study.
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Grigoroglou C, van der Feltz-Cornelis C, Hodkinson A, Coventry PA, Zghebi SS, Kontopantelis E, Bower P, Lovell K, Gilbody S, Waheed W, Dickens C, Archer J, Blakemore A, Adler DA, Aragones E, Björkelund C, Bruce ML, Buszewicz M, Carney RM, Cole MG, Davidson KW, Gensichen J, Grote NK, Russo J, Huijbregts K, Huffman JC, Menchetti M, Patel V, Richards DA, Rollman B, Smit A, Zijlstra-Vlasveld MC, Wells KB, Zimmermann T, Unutzer J, Panagioti M. Effectiveness of collaborative care in reducing suicidal ideation: An individual participant data meta-analysis. Gen Hosp Psychiatry 2021; 71:27-35. [PMID: 33915444 DOI: 10.1016/j.genhosppsych.2021.04.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/15/2021] [Accepted: 04/18/2021] [Indexed: 10/21/2022]
Abstract
UNLABELLED To assess whether CC is more effective at reducing suicidal ideation in people with depression compared with usual care, and whether study and patient factors moderate treatment effects. METHOD We searched Medline, Embase, PubMed, PsycINFO, CINAHL, CENTRAL from inception to March 2020 for Randomised Controlled Trials (RCTs) that compared the effectiveness of CC with usual care in depressed adults, and reported changes in suicidal ideation at 4 to 6 months post-randomisation. Mixed-effects models accounted for clustering of participants within trials and heterogeneity across trials. This study is registered with PROSPERO, CRD42020201747. RESULTS We extracted data from 28 RCTs (11,165 patients) of 83 eligible studies. We observed a small significant clinical improvement of CC on suicidal ideation, compared with usual care (SMD, -0.11 [95%CI, -0.15 to -0.08]; I2, 0·47% [95%CI 0.04% to 4.90%]). CC interventions with a recognised psychological treatment were associated with small reductions in suicidal ideation (SMD, -0.15 [95%CI -0.19 to -0.11]). CC was more effective for reducing suicidal ideation among patients aged over 65 years (SMD, - 0.18 [95%CI -0.25 to -0.11]). CONCLUSION Primary care based CC with an embedded psychological intervention is the most effective CC framework for reducing suicidal ideation and older patients may benefit the most.
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Affiliation(s)
- Christos Grigoroglou
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England.
| | | | - Alexander Hodkinson
- National Institute of Health Research School for Primary Care Research, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England
| | - Peter A Coventry
- Department of Health Sciences, University of York, York, England
| | - Salwa S Zghebi
- National Institute of Health Research School for Primary Care Research, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England
| | - Evangelos Kontopantelis
- Faculty of Biology, Medicine and Health, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, England
| | - Peter Bower
- National Institute of Health Research School for Primary Care Research, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, England; Greater Manchester Mental Health NHS Foundation Trust, Manchester, England
| | - Simon Gilbody
- Department of Health Sciences, Hull York Medical School, HYMS, University of York, York, England
| | - Waquas Waheed
- National Institute of Health Research School for Primary Care Research, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England
| | | | - Janine Archer
- School of Health and Society, School of Health and Society, University of Salford, England
| | - Amy Blakemore
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, England
| | - David A Adler
- Departments of Psychiatry and Medicine, Tufts Medical Center and Tufts University School of Medicine, England
| | - Enric Aragones
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), Barcelona, Spain
| | - Cecilia Björkelund
- Primary Health Care School of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Martha L Bruce
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Marta Buszewicz
- Institute of Epidemiology and Health, Faculty of Population and Health Sciences, University College London, London, England
| | - Robert M Carney
- Department of Psychiatry, Washington University in St. Louis (WUSTL), St. Louis, Missouri, USA
| | - Martin G Cole
- Department of Psychiatry, St. Mary's Hospital Center, McGill University, Montreal, Quebec, Canada
| | - Karina W Davidson
- Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Jochen Gensichen
- Institute of General Practice and Family Medicine, LMU Klinikum, Ludwig-Maximilians, University Munich Pettenkoferstr. 10, 80336 Munich, Germany
| | - Nancy K Grote
- School of Social Work, University of Washington, Seattle, USA
| | - Joan Russo
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, USA
| | - Klaas Huijbregts
- Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Jeff C Huffman
- Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Vikram Patel
- The Pershing Square Professor of Global Health, Harvard Medical School, Boston, MA, USA
| | - David A Richards
- Institute of Health Research, University of Exeter College of Medicine and Health, Exeter, England; Western University of Norway, Bergen, Norway
| | - Bruce Rollman
- Center for Behavioral Health, Media and Technology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Annet Smit
- HAN University of Applied Sciences, Nijmegen, Netherlands
| | | | - Kenneth B Wells
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA; Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, USA
| | - Thomas Zimmermann
- Department of General Practice / Primary Care, Centre for Psychosocial Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jurgen Unutzer
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, USA
| | - Maria Panagioti
- National Institute of Health Research School for Primary Care Research, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England
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18
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Dominiak M, Antosik-Wójcińska AZ, Baron M, Mierzejewski P. Screening and treatment of depression - recommendations for Polish health professionals. PRZEGLAD MENOPAUZALNY = MENOPAUSE REVIEW 2021; 20:1-13. [PMID: 33935614 PMCID: PMC8077808 DOI: 10.5114/pm.2021.104207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 01/07/2021] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Epidemiological data clearly indicate that depression is becoming an increasingly important health and social problem today. Depressive disorders occur at all ages, in men and women, in different cultures, affecting individuals, their families, and, more broadly, the social and economic system of the country. The gap between the recorded number of treated patients and the prevalence of depression highlights the scale of unmet needs. With limited availability of specialists in psychiatric care, the most appropriate measures seem to be those aimed at increasing the competence of other health professionals in the diagnosis and treatment of depression. MATERIAL AND METHODS An overview of the literature and available recommendations for the prevention, screening, and treatment of depression was performed. This work was commissioned by the Polish Ministry of Health under the Depression Prevention Program 2016-2020. RESULTS Based on the literature review, we compiled the recommendations for Polish health professionals. These recommendations focus on the management of depression in the primary care setting and provide guidelines for health professionals other than psychiatrists concerning the prevention, screening, and treatment of depression. CONCLUSIONS We developed a clear recommendation for non-psychiatrists concerning the screening, treatment, and further management of patients with depression. Early detection of depression and implementation of treatment improves the outcomes and prognosis and reduces the mortality rate.
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Affiliation(s)
- Monika Dominiak
- Department of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | | | - Marta Baron
- Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Paweł Mierzejewski
- Department of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland
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19
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van der Feltz‐Cornelis C, Allen SF, Holt RIG, Roberts R, Nouwen A, Sartorius N. Treatment for comorbid depressive disorder or subthreshold depression in diabetes mellitus: Systematic review and meta-analysis. Brain Behav 2021; 11:e01981. [PMID: 33274609 PMCID: PMC7882189 DOI: 10.1002/brb3.1981] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/02/2020] [Accepted: 11/16/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To provide an estimate of the effect of interventions on comorbid depressive disorder (MDD) or subthreshold depression in type 1 and type 2 diabetes. METHODS Systematic review and meta-analysis. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomized controlled trials evaluating the outcome of depression treatments in diabetes and comorbid MDD or subthreshold symptoms published before August 2019 compared to care as usual (CAU), placebo, waiting list (WL), or active comparator treatment as in a comparative effectiveness trial (CET). Primary outcomes were depressive symptom severity and glycemic control. Cohen's d is reported. RESULTS Forty-three randomized controlled trials (RCTs) were selected, and 32 RCTs comprising 3,543 patients were included in the meta-analysis. Our meta-analysis showed that, compared to CAU, placebo or WL, all interventions showed a significant effect on combined outcome 0,485 (95% CI 0.360; 0.609). All interventions showed a significant effect on depression. Pharmacological treatment, group therapy, psychotherapy, and collaborative care had a significant effect on glycemic control. High baseline depression score was associated with a greater reduction in HbA1 c and depressive outcome. High baseline HbA1 c was associated with a greater reduction in HbA1 c. CONCLUSION All treatments are effective for comorbid depression in type 1 diabetes and type 2 diabetes. Over the last decade, new interventions with large effect sizes have been introduced, such as group-based therapy, online treatment, and exercise. Although all interventions were effective for depression, not all treatments were effective for glycemic control. Effective interventions in comorbid depressive disorder may not be as effective in comorbid subthreshold depression. Baseline depression and HbA1 c scores modify the treatment effect. Based on the findings, we provide guidance for treatment depending on patient profile and desired outcome, and discuss possible avenues for further research.
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Affiliation(s)
| | - Sarah F. Allen
- Department of Health SciencesHull York Medical SchoolUniversity of YorkYorkUK
| | - Richard I. G. Holt
- Human Development and HealthFaculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Richard Roberts
- Department of Family Medicine & Community HealthUniversity of WisconsinMadisonWIUSA
| | - Arie Nouwen
- Department of PsychologyMiddlesex UniversityLondonUK
| | - Norman Sartorius
- Association for the Improvement of Mental Health ProgrammesGenevaSwitzerland
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20
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Frost R, Rait G, Wheatley A, Wilcock J, Robinson L, Harrison Dening K, Allan L, Banerjee S, Manthorpe J, Walters K. What works in managing complex conditions in older people in primary and community care? A state-of-the-art review. HEALTH & SOCIAL CARE IN THE COMMUNITY 2020; 28:1915-1927. [PMID: 32671922 DOI: 10.1111/hsc.13085] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/05/2020] [Accepted: 06/16/2020] [Indexed: 06/11/2023]
Abstract
The number of older people living with complex health conditions is increasing, with the majority of these managed in primary and community settings. Many models of care have been developed to support them, however, there is mixed evidence on their value and they include multiple overlapping components. We aimed to synthesise the evidence to learn what works for managing complex conditions in older people in primary and community care. We carried out a state-of-the-art review of systematic reviews. We searched three databases (January 2009 to July 2019) for models of primary and community care for long-term conditions, frailty, multimorbidity and complex neurological conditions common to older people such as dementia. We narratively synthesised review findings to summarise the evidence for each model type and identify components which influenced effectiveness. Out of 2,129 unique titles and abstracts, 178 full texts were reviewed and 54 systematic reviews were included. We found that the models of care were more likely to improve depressive symptoms and mental health outcomes than physical health or service use outcomes. Interventions including self-management, patient education, assessment with follow-up care procedures, and structured care processes or pathways had greater evidence of effectiveness. The level of healthcare service integration appeared to be more important than inclusion of specific professional types within a team. However, more experienced and qualified nurses were associated with better outcomes. These conclusions are limited by the overlap between reviews, reliance on vote counting within some included reviews and the quality of study reports. In conclusion, primary and community care interventions for complex conditions in older people should include: (a) clear intervention targets; (b) explicit theoretical underpinnings; and (c) elements of self-management and patient education, structured collaboration between healthcare professionals and professional support. Further work needs to determine the optimal intensity, length, team composition and role of technology in interventions.
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Affiliation(s)
- Rachael Frost
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Greta Rait
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Alison Wheatley
- Population Health Sciences Institute, University of Newcastle, Newcastle upon Tyne, UK
| | - Jane Wilcock
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Louise Robinson
- Population Health Sciences Institute, University of Newcastle, Newcastle upon Tyne, UK
| | | | - Louise Allan
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Sube Banerjee
- Faculty of Health, University of Plymouth, Plymouth, UK
| | - Jill Manthorpe
- NIHR Health and Social Care Workforce Research Unit, King's College London, London, UK
| | - Kate Walters
- Research Department of Primary Care and Population Health, University College London, London, UK
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21
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Almeida SS, Zizzi FB, Cattaneo A, Comandini A, Di Dato G, Lubrano E, Pellicano C, Spallone V, Tongiani S, Torta R. Management and Treatment of Patients With Major Depressive Disorder and Chronic Diseases: A Multidisciplinary Approach. Front Psychol 2020; 11:542444. [PMID: 33101117 PMCID: PMC7546762 DOI: 10.3389/fpsyg.2020.542444] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 09/01/2020] [Indexed: 12/26/2022] Open
Abstract
In patients with physical chronic diseases, the prevalence of major depressive disorder (MDD) is approximately 2- to 3-fold higher than in the general population, and it can reach up to 20-40%. The comorbidity of MDD with chronic medical diseases is associated with poorer quality of life, increased medical symptom burden, poor adherence to self-care regimens, increased risk of functional impairment, morbidity, and mortality, and also higher medical costs. Despite this evidence, in routine practice, psychological issues and concerns are frequently inadequately managed. This consensus document proposes that a proper diagnosis, a multidisciplinary approach, and a personalized treatment plan would allow patients with MDD and chronic comorbidities to be more compliant, to improve the outcomes, to reduce possible relapses in the long term, and to prevent or better manage complications and adverse events. This proposal might be useful for any health professionals who deal with patients with chronic diseases, as it can help to pay more attention to the emotional impact of these conditions, in particular in terms of depressive symptoms.
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Affiliation(s)
- Susana Sousa Almeida
- Portuguese Institute of Oncology Porto (IPO Porto), Hospital Cuf Porto (HCuf Porto), University of Porto (FMUP), Porto, Portugal
| | | | - Agnese Cattaneo
- Angelini RR&D (Research, Regulatory & Development) - Angelini S.p.A, Rome, Italy
| | - Alessandro Comandini
- Angelini RR&D (Research, Regulatory & Development) - Angelini S.p.A, Rome, Italy
| | - Giorgio Di Dato
- Angelini RR&D (Research, Regulatory & Development) - Angelini S.p.A, Rome, Italy
| | - Ennio Lubrano
- Academic Rheumatology Unit, Dipartimento di Medicina e Scienze della salute "Vincenzo Tiberio", Università degli Studi del Molise, Campobasso, Italy
| | - Clelia Pellicano
- Laboratory of Neuropsychiatry, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Vincenza Spallone
- Division of Endocrinology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Serena Tongiani
- Angelini RR&D (Research, Regulatory & Development) - Angelini S.p.A, Rome, Italy
| | - Riccardo Torta
- Clinical Psychology and Psycho-Oncology Unit, Department of Neuroscience "Rita Levi Montalcini", University of Turin, A.O.U. "Città della Salute e della Scienza" Hospital, Turin, Italy
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22
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Rochlin DH, Lee CM, Scheuter C, Platchek T, Kaplan RM, Milstein A. Health Care Is Failing the Most Vulnerable Patients: Three Underused Solutions. Public Health Rep 2020; 135:711-716. [PMID: 32962512 DOI: 10.1177/0033354920954496] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Affiliation(s)
- Danielle H Rochlin
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA.,Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Chuan-Mei Lee
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA
| | - Claudia Scheuter
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA.,Division of General Internal Medicine, Inselspital Bern University Hospital, Bern, Switzerland
| | - Terry Platchek
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA
| | - Robert M Kaplan
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA
| | - Arnold Milstein
- 6429 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA
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23
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Abstract
Depression is one of the most common comorbidities of many chronic medical diseases including cancer and cardiovascular, metabolic, inflammatory and neurological disorders. Indeed, the prevalence of depression in these patient groups is often substantially higher than in the general population, and depression accounts for a substantial part of the psychosocial burden of these disorders. Many factors can contribute to the occurrence of comorbid depression, such as shared genetic factors, converging biological pathways, social factors, health behaviours and psychological factors. Diagnosis of depression in patients with a medical disorder can be particularly challenging owing to symptomatic overlap. Although pharmacological and psychological treatments can be effective, adjustments may need to be made for patients with a comorbid medical disorder. In addition, symptoms or treatments of medical disorders may interfere with the treatment of depression. Conversely, symptoms of depression may decrease adherence to treatment of both disorders. Thus, comprehensive treatment plans are necessary to optimize care.
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24
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Suh J, Williams S, Fann JR, Fogarty J, Bauer AM, Hsieh G. Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care. ACTA ACUST UNITED AC 2020; 4. [PMID: 32656502 DOI: 10.1145/3392843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Depression is common but under-treated in patients with cancer, despite being a major modifiable contributor to morbidity and early mortality. Integrating psychosocial care into cancer services through the team-based Collaborative Care Management (CoCM) model has been proven to be effective in improving patient outcomes in cancer centers. However, there is currently a gap in understanding the challenges that patients and their care team encounter in managing co-morbid cancer and depression in integrated psycho-oncology care settings. Our formative study examines the challenges and needs of CoCM in cancer settings with perspectives from patients, care managers, oncologists, psychiatrists, and administrators, with a focus on technology opportunities to support CoCM. We find that: (1) patients with co-morbid cancer and depression struggle to navigate between their cancer and psychosocial care journeys, and (2) conceptualizing co-morbidities as separate and independent care journeys is insufficient for characterizing this complex care context. We then propose the parallel journeys framework as a conceptual design framework for characterizing challenges that patients and their care team encounter when cancer and psychosocial care journeys interact. We use the challenges discovered through the lens of this framework to highlight and prioritize technology design opportunities for supporting whole-person care for patients with co-morbid cancer and depression.
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Affiliation(s)
- Jina Suh
- University of Washington, USA and Microsoft Research, USA
| | | | - Jesse R Fann
- University of Washington, USA and Seattle Cancer Care Alliance, USA
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25
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Leue C, van Schijndel M, Keszthelyi D, van Koeveringe G, Ponds R, Kathol R, Rutten B. The multi-disciplinary arena of psychosomatic medicine – Time for a transitional network approach. EUROPEAN JOURNAL OF PSYCHIATRY 2020. [DOI: 10.1016/j.ejpsy.2020.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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26
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Rosenblat JD, Kurdyak P, Cosci F, Berk M, Maes M, Brunoni AR, Li M, Rodin G, McIntyre RS, Carvalho AF. Depression in the medically ill. Aust N Z J Psychiatry 2020; 54:346-366. [PMID: 31749372 DOI: 10.1177/0004867419888576] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Depressive disorders are significantly more common in the medically ill compared to the general population. Depression is associated with worsening of physical symptoms, greater healthcare utilization and poorer treatment adherence. The present paper provides a critical review on the assessment and management of depression in the medically ill. METHODS Relevant articles pertaining to depression in the medically ill were identified, reviewed and synthesized qualitatively. A systematic review was not performed due to the large breadth of this topic, making a meaningful summary of all published and unpublished studies not feasible. Notable studies were reviewed and synthesized by a diverse set of experts to provide a balanced summary. RESULTS Depression is frequently under-recognized in medical settings. Differential diagnoses include delirium, personality disorders and depressive disorders secondary to substances, medications or another medical condition. Depressive symptoms in the context of an adjustment disorder should be initially managed by supportive psychological approaches. Once a mild to moderate major depressive episode is identified, a stepped care approach should be implemented, starting with general psychoeducation, psychosocial interventions and ongoing monitoring. For moderate to severe symptoms, or mild symptoms that are not responding to low-intensity interventions, the use of antidepressants or higher intensity psychotherapeutic interventions should be considered. Psychotherapeutic interventions have demonstrated benefits with small to moderate effect sizes. Antidepressant medications have also demonstrated benefits with moderate effect sizes; however, special caution is needed in evaluating side effects, drug-drug interactions as well as dose adjustments due to impairment in hepatic metabolism and/or renal clearance. Novel interventions for the treatment of depression and other illness-related psychological symptoms (e.g. death anxiety, loss of dignity) are under investigation. LIMITATIONS Non-systematic review of the literature. CONCLUSION Replicated evidence has demonstrated a bidirectional interaction between depression and medical illness. Screening and stepped care using pharmacological and non-pharmacological interventions is merited.
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Affiliation(s)
- Joshua D Rosenblat
- Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Paul Kurdyak
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.,Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy.,Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, VIC, Australia.,The University of Melbourne, Department of Psychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia.,Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Royal Melbourne Hospital, Parkville, VIC, Australia.,Centre of Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
| | - Michael Maes
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, VIC, Australia.,Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Andre R Brunoni
- Service of Interdisciplinary Neuromodulation (SIN), Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Neuropsychiatry (INBioN), Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.,Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Madeline Li
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Gary Rodin
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Roger S McIntyre
- Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Andre F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
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27
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Physical health among patients with common mental health disorders in primary care in Europe: a scoping review. Ir J Psychol Med 2020; 38:76-92. [DOI: 10.1017/ipm.2020.2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Introduction:Mental disorders are increasingly common among adults in both the developed and developing world and are predicted by the WHO to be the leading cause of disease burden by 2030. Many common physical conditions are more common among people who also have a common mental disorder. This scoping review aims to examine the current literature about the prevention, identification and treatment of physical problems among people with pre-existing mental health disorders in primary care in Europe.Methods:The scoping review framework comprised a five-stage process developed by Arksey & O’Malley (2005). The search process was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Both quantitative and qualitative studies were included, with no restriction on study design.Results:The initial search identified 299 studies, with a further 28 added from the hand-search (total n = 327) of which 19 were considered relevant to the review research question and included for full analysis. Depression was the mental health condition most commonly studied (nine studies), followed by depression and anxiety (seven studies), with three studies examining any mental disorder. Eleven studies examined the effects of various interventions to address physical and mental comorbidity, with the most commonly studied intervention being collaborative care.Conclusions:With just 19 studies meeting our criteria for inclusion, there is clearly a paucity of research in this area. Further research is essential in order to understand the pathophysiological mechanisms underlying the association between mental disorders and chronic conditions.
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28
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Validity of the Patient Health Questionnaire-9 (PHQ-9) for depression screening in adult primary care users in Bucaramanga, Colombia. ACTA ACUST UNITED AC 2020; 50:11-21. [PMID: 33648690 DOI: 10.1016/j.rcp.2019.09.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/01/2019] [Accepted: 09/20/2019] [Indexed: 02/08/2023]
Abstract
The patient health questionnaire-9 (PHQ-9) is one of the most widely used self-report instruments in primary care. There is no criterion validity of the PHQ-9 in Colombia. The objective was to validate the PHQ-9 as a screening tool in primary care. A cross-sectional, scale criterion validity study was performed using as reference criterion the mini neuropsychiatric interview (MINI) in male and female adult users of primary care centres. We calculated the internal consistency and convergent and criterion validity of the PHQ-9 by analysing the receiver operating characteristics (ROC) and the area under the curve (AUC). We analysed 243 participants; 184 (75.7%) were female. The average age was 34.05 (median of 31 and SD = 12.47). Cronbach's α was 0.80 and McDonald's ω was 0.81. Spearman's Rho was 0.64 for HADS-D (P <0.010) and 0.70 for PHQ-2 (P <0.010). The AUC was 0.92 (95% CI 0.880-0.963). The optimal cut-off point of PHQ-9 was ≥7: sensitivity of 90.38 (95% CI: 81.41-99.36); specificity of 81.68 (95% CI: 75.93-87.42); PPV 57.32 (95% CI: 46.00-68.63); NPV 96.89 (95% CI: 93.90-99.88); Youden index 0.72 (95% CI: 0.62-0.82); LR+ 4.93 (95% CI: 3.61-6.74); LR- 0.12 (95% CI: 0.005-0.270). In sum, the Colombian version of PHQ-9 is a valid and reliable instrument for depression screening in primary care in Bucaramanga, with a cut-off point ≥7.
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29
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Abstract
PURPOSE OF REVIEW This review discusses the role of the patient-centered medical home (PCMH) in treating depression, focusing on findings from primary care-based studies and their implications for the PCMH. RECENT FINDINGS Pharmacotherapy, psychotherapy, and collaborative care are evidence-based treatments for depression that can be delivered in primary care and extended to diverse populations. Recent research aligns with the core components of the PCMH model. The core components of the PCMH are critical elements of depression treatment. Comprehensive care within the PCMH addresses medical and behavioral health concerns, including depression. Psychiatric and psychological care must be flexibly delivered so services remain accessible yet patient-centered. To ensure the quality and safety of treatment, depression symptoms must be consistently monitored. Coordination within and occasionally outside of the PCMH is needed to ensure patients receive the appropriate level of care. More research is needed to empirically evaluate depression treatment within the PCMH.
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30
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Heart-Focused Anxiety Among Latinxs in Primary Care: Relations to Anxiety, Depression, Pain, and Functional Impairment. J Nerv Ment Dis 2019; 207:651-658. [PMID: 31318738 DOI: 10.1097/nmd.0000000000001020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
There is a public health need to better characterize the individual-based differences that may be involved in the expression and maintenance of psychological and related health problems among Latinx individuals. One individual difference factor that may be relevant to the nexus of psychological and physical concerns is heart-focused anxiety. The current study sought to evaluate the potential explanatory relevance of heart-focused anxiety as an important individual difference factor for anxiety, depression, pain experience, and functional impairment. Participants included 158 Latinx adults (Mage = 39.26, SD = 13.19; 85.4% female) from a primary health clinic. Results indicated that heart-focused anxiety was significantly related to anxious arousal, pain intensity, pain disability, and functional impairment. However, no significant effects were evident for depressive symptoms. These data indicate that heart-focused anxiety may be an underrecognized cognitive factor relevant to better understanding anxiety and pain among Latinx adults in primary care.
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31
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Maehder K, Löwe B, Härter M, Heddaeus D, Scherer M, Weigel A. Management of comorbid mental and somatic disorders in stepped care approaches in primary care: a systematic review. Fam Pract 2019; 36:38-52. [PMID: 30535053 DOI: 10.1093/fampra/cmy122] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Stepped care models comprise a graded treatment intensity and a systematic monitoring. For an effective implementation, stepped care models have to account for the high rates of mental and somatic comorbidity in primary care. OBJECTIVES The aim of the systematic review was to take stock of whether present stepped care models take comorbidities into consideration. A further aim was to give an overview on treatment components and involved health care professionals. METHODS A systematic literature search was performed using the databases PubMed, PsycINFO, Cochrane Library and Web of Science. Selection criteria were a randomized controlled trial of a primary-care-based stepped care intervention, adult samples, publication between 2000 and 2017 and English or German language. RESULTS Of 1009 search results, 39 studies were eligible. One-third of the trials were conceived for depressive disorders only, one-third for depression and further somatic and/or mental comorbidity and one-third for conditions other than depression. In 39% of the studies comorbidities were explicitly integrated in treatment, mainly via transdiagnostic self-management support, interprofessional collaboration and digital approaches for treatment, monitoring and communication. Most care teams were composed of a primary care physician, a care manager and a psychiatrist and/or psychologist. Due to the heterogeneity of the addressed disorders, no meta-analysis was performed. CONCLUSIONS Several stepped care models in primary care already account for comorbidities, with depression being the predominant target disorder. To determine their efficacy, the identified strategies to account for comorbidities should be investigated within stepped care models for a broader range of disorders.
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Affiliation(s)
- Kerstin Maehder
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Germany
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Germany
| | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Germany
| | - Daniela Heddaeus
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Germany
| | - Martin Scherer
- Department of General Practice/Primary Care, University Medical Center Hamburg-Eppendorf, Germany
| | - Angelika Weigel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Germany
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32
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Chibanda D. Programmes that bring mental health services to primary care populations in the international setting. Int Rev Psychiatry 2018; 30:170-181. [PMID: 30821529 DOI: 10.1080/09540261.2018.1564648] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The last decade has witnessed an exponential growth of evidence-based care packages for mental, neurological, and substance use disorders (MNS) aimed at primary care populations; however, few have been taken to scale. Several barriers to successful integration and scale-up, such as low acceptability, poor clinical engagement process, lack of targeted resources, and poor stakeholder and policy support have been cited. This review describes and highlights common features of some of the promising programmes that deliver mental health services through primary health clinics, communities, and digital platforms, with an emphasis on those that show some evidence of complete or partial scale-up. Three distinct overarching themes and initiatives are discussed in relation to the above; primary health facilities, community (outside of primary healthcare), and digital/internet-based platforms, with a focus on how the three may interact synergistically to enhance successful integration and scale-up.
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Affiliation(s)
- Dixon Chibanda
- a London School of Hygiene & Tropical Medicine , London , UK.,b University of Zimbabwe College of Health Sciences , Harare , Zimbabwe
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