Evidence map›Paper›PMID 32611391›Full record

SynthesisBMC family practice2020

General practitioner strategies for managing patients with multimorbidity: a systematic review and thematic synthesis of qualitative research.

Raechel A Damarell, Deidre D Morgan, Jennifer J Tieman

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05593835 (Protocol for a Cluster Randomised Trial of a Goal-Oriented Care Approach for Multimorbidity Patients Supported by a Digital Platform), which is not on this map. Cited by 94 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05593835 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Protocol for a Cluster Randomised Trial of a Goal-Oriented Care Approach for Multimorbidity Patients Supported by a Digital Platform

TypeinterventionalSponsorUniversidade Nova de LisboaRan2025 to 2027Enrolled1,380ConditionsChronic DiseaseArmsMETHIS Platform, Goal-Oriented Care Training Program
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  12. Navigating the complexities of multimorbidity in primary health care.Scandinavian journal of primary health care · 2026
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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Raechel A DamarellResearch Centre for Palliative Care, Death and Dying, College of Nursing and Health Sciences, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001. raechel.damarell@flinders.edu.au.ORCID 0000-0002-6737-7537
Deidre D MorganResearch Centre for Palliative Care, Death and Dying, College of Nursing and Health Sciences, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001.
Jennifer J TiemanResearch Centre for Palliative Care, Death and Dying, College of Nursing and Health Sciences, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeneral practitioners (GPs) increasingly manage patients with multimorbidity but report challenges in doing so. Patients describe poor experiences with health care systems that treat each of their health conditions separately, resulting in fragmented, uncoordinated care. For GPs to provide the patient-centred, coordinated care patients need and want, research agendas and health system structures and policies will need to adapt to address this epidemiologic transition. This systematic review seeks to understand if and how multimorbidity impacts on the work of GPs, the strategies they employ to manage challenges, and what they believe still needs addressing to ensure quality patient care.

methodsSystematic review and thematic synthesis of qualitative studies reporting GP experiences of managing patients with multimorbidity. The search included nine major databases, grey literature sources, Google and Google Scholar, a hand search of Journal of Comorbidity, and the reference lists of included studies.

resultsThirty-three studies from fourteen countries were included. Three major challenges were identified: practising without supportive evidence; working within a fragmented health care system whose policies and structures remain organised around single condition care and specialisation; and the clinical uncertainty associated with multimorbidity complexity and general practitioner perceptions of decisional risk. GPs revealed three approaches to mitigating these challenges: prioritising patient-centredness and relational continuity; relying on knowledge of patient preferences and unique circumstances to individualise care; and structuring the consultation to create a sense of time and minimise patient risk.

conclusionsGPs described an ongoing tension between applying single condition guidelines to patients with multimorbidity as security against uncertainty or penalty, and potentially causing patients harm. Above all, they chose to prioritise their long-term relationships for the numerous gains this brought such as mutual trust, deeper insight into a patient's unique circumstances, and useable knowledge of each individual's capacity for the work of illness and goals for life. GPs described a need for better multimorbidity management guidance. Perhaps more than this, they require policies and models of practice that provide remunerated time and space for nurturing trustful therapeutic partnerships.

Indexed as

General PracticePatient-Centered CareEvidence-Based PracticeHealth TransitionHumansMultimorbidityNeeds AssessmentPatient Care ManagementEvidence-based practiceGeneral practiceMeta-synthesisMultimorbidityPatient-centred careQualitative

Identifiers

PMID32611391
PMCPMC7331183

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.