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

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Abstract

Background

Many people with chronic disease have more than one chronic condition, which is referred to as multimorbidity. 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 for multimorbidity.

Objectives

To determine the effectiveness of interventions designed to improve outcomes in patients 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, CAB Health, AMED, HealthStar, The Cochrane Central Register of Controlled Trials (CENTRAL), the EPOC Register and the Database of Abstracts of Reviews of Effectiveness (DARE), and the EPOC Register in April 2011.

Selection criteria

We considered randomised controlled trials (RCTs), controlled clinical trials (CCTs), controlled before and after studies (CBAs), and interrupted time series analyses (ITS) reporting on interventions to improve outcomes for people with multimorbidity in primary care and community settings. The outcomes included any validated measure of physical or mental health, psychosocial status including quality of life outcomes, well‐being, and measures of disability or functional status. We also included measures of patient and provider behaviour including measures of medication adherence, utilisation of health services, and acceptability of services and costs.

Data collection and analysis

Two review authors independently assessed studies for eligibility, extracted data, and assessed study quality. Meta‐analysis of results was not possible so we carried out a narrative synthesis of the results from the included studies.

Main results

Ten studies examining a range of complex interventions for patients with multimorbidity were identified. All were RCTs and there was low risk of bias. Two of the nine studies focused on specific co‐morbidities. The remaining studies focused on multimorbidity, generally in older patients. All studies involved complex interventions with multiple elements. In six of the ten studies, the predominant intervention element was a change to the organisation of care delivery, usually through case management or enhanced multidisciplinary team work. In the remaining four studies, the interventions were predominantly patient oriented. Overall the results were mixed with a trend towards improved prescribing and medication adherence. The results indicate that it is difficult to improve outcomes in this population but that interventions focusing on particular risk factors or functional difficulties in patients with co‐morbid conditions or multimorbidity may be more effective. Cost data were limited with no economic analyses included, though the improvements in prescribing and risk factor management in some studies provided potentially significant cost savings.

Authors' conclusions

This review highlights the paucity of research into interventions to improve outcomes for multimorbidity with the focus to date being on co‐morbid conditions or multimorbidity in older patients. The limited results suggest that interventions to date have had mixed effects but have shown a tendency to improve prescribing and medication adherence, particularly if interventions can be targeted at risk factors or specific functional difficulties in people with co‐morbid conditions or multimorbidity. There is a need for clear definitions of participants, consideration of appropriate outcomes, and further pragmatic studies based in primary care settings.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Plain language summary

Improving outcomes for people with multiple chronic conditions

Many people with chronic disease have more than one chronic condition, which is referred to as multimorbidity. This review aimed to identify and summarise the existing information about the effectiveness of any healthcare programmes or interventions to improve outcomes for people with multimorbidity in community settings. We identified ten studies, some of which focused on specific combinations of conditions, whereas others focused on multiple conditions in general, particularly in elderly patients. The majority of interventions involved changes to the organisation of care delivery though some studies had more patient focused interventions. There were mixed effects on physical health status but some improvements in prescribing and taking medication. Overall the results indicate that it is difficult to improve outcomes in this population, but that focusing on particular risk factors or functional difficulties in patients with co‐morbid conditions or multimorbidity may be more effective. There is a need for further studies on this topic.