Literature DB >> 33448337

Interventions for improving outcomes in patients with multimorbidity in primary care and community settings.

Susan M Smith1, Emma Wallace1, Tom O'Dowd2, Martin Fortin3.   

Abstract

BACKGROUND: Many people with chronic disease have more than one chronic condition, which is referred to as multimorbidity. The term comorbidity is also used but this is now taken to mean that there is a defined index condition with other linked conditions, for example diabetes and cardiovascular disease. It is also used when there are combinations of defined conditions that commonly co-exist, for example diabetes and depression. While this is not a new phenomenon, there is greater recognition of its impact and the importance of improving outcomes for individuals affected. Research in the area to date has focused mainly on descriptive epidemiology and impact assessment. There has been limited exploration of the effectiveness of interventions to improve outcomes for people with multimorbidity.
OBJECTIVES: To determine the effectiveness of health-service or patient-oriented interventions designed to improve outcomes in people with multimorbidity in primary care and community settings. Multimorbidity was defined as two or more chronic conditions in the same individual. SEARCH
METHODS: We searched MEDLINE, EMBASE, CINAHL and seven other databases to 28 September 2015. We also searched grey literature and consulted experts in the field for completed or ongoing studies. SELECTION CRITERIA: Two review authors independently screened and selected studies for inclusion. We considered randomised controlled trials (RCTs), non-randomised clinical trials (NRCTs), controlled before-after studies (CBAs), and interrupted time series analyses (ITS) evaluating interventions to improve outcomes for people with multimorbidity in primary care and community settings. Multimorbidity was defined as two or more chronic conditions in the same individual. This includes studies where participants can have combinations of any condition or have combinations of pre-specified common conditions (comorbidity), for example, hypertension and cardiovascular disease. The comparison was usual care as delivered in that setting. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data from the included studies, evaluated study quality, and judged the certainty of the evidence using the GRADE approach. We conducted a meta-analysis of the results where possible and carried out a narrative synthesis for the remainder of the results. We present the results in a 'Summary of findings' table and tabular format to show effect sizes across all outcome types. MAIN
RESULTS: We identified 17 RCTs examining a range of complex interventions for people with multimorbidity. Nine studies focused on defined comorbid conditions with an emphasis on depression, diabetes and cardiovascular disease. The remaining studies focused on multimorbidity, generally in older people. In 11 studies, the predominant intervention element was a change to the organisation of care delivery, usually through case management or enhanced multidisciplinary team work. In six studies, the interventions were predominantly patient-oriented, for example, educational or self-management support-type interventions delivered directly to participants. Overall our confidence in the results regarding the effectiveness of interventions ranged from low to high certainty. There was little or no difference in clinical outcomes (based on moderate certainty evidence). Mental health outcomes improved (based on high certainty evidence) and there were modest reductions in mean depression scores for the comorbidity studies that targeted participants with depression (standardized mean difference (SMD) -0.41, 95% confidence interval (CI) -0.63 to -0.2). There was probably a small improvement in patient-reported outcomes (moderate certainty evidence). The intervention may make little or no difference to health service use (low certainty evidence), may slightly improve medication adherence (low certainty evidence), probably slightly improves patient-related health behaviours (moderate certainty evidence), and probably improves provider behaviour in terms of prescribing behaviour and quality of care (moderate certainty evidence). Cost data were limited. AUTHORS'
CONCLUSIONS: This review identifies the emerging evidence to support policy for the management of people with multimorbidity and common comorbidities in primary care and community settings. There are remaining uncertainties about the effectiveness of interventions for people with multimorbidity in general due to the relatively small number of RCTs conducted in this area to date, with mixed findings overall. It is possible that the findings may change with the inclusion of large ongoing well-organised trials in future updates. The results suggest an improvement in health outcomes if interventions can be targeted at risk factors such as depression in people with co-morbidity.
Copyright © 2021 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2021        PMID: 33448337      PMCID: PMC8092473          DOI: 10.1002/14651858.CD006560.pub4

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  136 in total

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3.  Design and methods for a pilot randomized clinical trial involving exercise and behavioral activation to treat comorbid type 2 diabetes and major depressive disorder.

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Journal:  Ment Health Phys Act       Date:  2011-06-01

4.  Pharmacist-led group medical appointments for the management of type 2 diabetes with comorbid depression in older adults.

Authors:  Tracey H Taveira; Andrea G Dooley; Lisa B Cohen; Sameed Ahmed M Khatana; Wen-Chih Wu
Journal:  Ann Pharmacother       Date:  2011-10-25       Impact factor: 3.154

Review 5.  Interventions for improving outcomes in patients with multimorbidity in primary care and community settings.

Authors:  Susan M Smith; Hassan Soubhi; Martin Fortin; Catherine Hudon; Tom O'Dowd
Journal:  Cochrane Database Syst Rev       Date:  2012-04-18

Review 6.  Out of context: clinical practice guidelines and patients with multiple chronic conditions: a systematic review.

Authors:  Kirk D Wyatt; Louise M Stuart; Juan P Brito; Barbara Carranza Leon; Juan Pablo Domecq; Gabriela J Prutsky; Jason S Egginton; Andrew D Calvin; Nilay D Shah; Mohammad Hassan Murad; Victor M Montori
Journal:  Med Care       Date:  2014-03       Impact factor: 2.983

7.  Early effects of "Guided Care" on the quality of health care for multimorbid older persons: a cluster-randomized controlled trial.

Authors:  Chad Boult; Lisa Reider; Katherine Frey; Bruce Leff; Cynthia M Boyd; Jennifer L Wolff; Stephen Wegener; Jill Marsteller; Lya Karm; Daniel Scharfstein
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-03       Impact factor: 6.053

8.  Cost-effectiveness of a multicondition collaborative care intervention: a randomized controlled trial.

Authors:  Wayne Katon; Joan Russo; Elizabeth H B Lin; Julie Schmittdiel; Paul Ciechanowski; Evette Ludman; Do Peterson; Bessie Young; Michael Von Korff
Journal:  Arch Gen Psychiatry       Date:  2012-05

9.  Rationale and methods of a multicentre randomised controlled trial of the effectiveness of a Community Health Assessment Programme with Emergency Medical Services (CHAP-EMS) implemented on residents aged 55 years and older in subsidised seniors' housing buildings in Ontario, Canada.

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Journal:  BMJ Open       Date:  2015-06-11       Impact factor: 2.692

10.  Effect of a health coaching self-management program for older adults with multimorbidity in nursing homes.

Authors:  Yeon-Hwan Park; HeeKyung Chang
Journal:  Patient Prefer Adherence       Date:  2014-07-04       Impact factor: 2.711

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6.  Evaluating the implementation of interdisciplinary patient-centred care intervention for people with multimorbidity in primary care: a qualitative study.

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7.  Prevalence and pattern of acute and chronic multimorbidity across all body systems and age groups in primary health care.

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Review 8.  Preventing Multimorbidity with Lifestyle Interventions in Sub-Saharan Africa: A New Challenge for Public Health in Low and Middle-Income Countries.

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9.  Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability.

Authors:  Cecilie K Øverås; Tom I L Nilsen; Barbara I Nicholl; Guy Rughani; Karen Wood; Karen Søgaard; Frances S Mair; Jan Hartvigsen
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10.  The Quality of Health Apps and Their Potential to Promote Behavior Change in Patients With a Chronic Condition or Multimorbidity: Systematic Search in App Store and Google Play.

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