Evidence map›Paper›PMID 31231928›Full record

ReviewHealth & social care in the community2019

The role of collective efficacy in long-term condition management: A metasynthesis.

Ivaylo Vassilev, Rebecca Band, Anne Kennedy, Elizabeth James, Anne Rogers

Abstract readReview
In one paragraph

Review in Health & social care in the community, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Understanding the Meaning of Loneliness and Social Engagement for the Workings of a Social Network Intervention Connecting People to Resources and Valued Activities.Health expectations : an international journal of public participation in health care and health policy · 2024
    Trial
  5. Article
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  10. Using co-design methods to develop new personalised support for people living with Long Covid: The 'LISTEN' intervention.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  11. Understanding support systems for Parkinson's disease management in community settings: A cross-national qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
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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

5 authors.

Ivaylo VassilevNIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.ORCID 0000-0002-2206-8247
Rebecca BandNIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.ORCID 0000-0001-5403-1708
Anne KennedyNIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.
Elizabeth JamesNIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.ORCID 0000-0001-9355-0295
Anne RogersNIHR Collaboration for Leadership in Applied Health Research (CLAHRC), Wessex, University of Southampton, Southampton, UK.ORCID 0000-0002-7231-790X

Funding

Department of Health PHR/16/08/41NIHR CLAHRC Wessex
6 · The paper itself

Abstract

Social networks have been found to have a valuable role in supporting the management of long-term conditions. However, the focus on the quality and how well self-management interventions work focus on individualised behavioural outcomes such as self-efficacy and there is a need for understanding that focuses on the role of wider collective processes in self-management support. Collective efficacy presents a potentially useful candidate concept in the development and understanding of self-management support interventions. To date it has mainly been utilised in the context of organisations and neighbourhoods related to social phenomena such as community cohesion. Drawing on Bandura's original theorisation this meta-synthesis explores how studies of collective efficacy might illuminate collective elements operating within the personal communities of people with long-term conditions. A qualitative meta-synthesis was undertaken. Studies published between 1998 and 2018 that examined collective efficacy in relation to health and well-being using qualitative and mixed methods was eligible for inclusion. Timing of engagement with others, building trust in the group, and legitimising ongoing engagement with the group arised as central elements of collective efficacy. The two themes forming third order constructs were related to the presence of continuous interaction and ongoing relational work between members of the group. Collective efficacy can develop and be sustained over time in a range of situations where individuals may not have intense relationships with one another and have limited commitment and contact with one another. Extending this to the personal communities of people with long-term conditions it may be the case that collective efficacy enables a number of engagement opportunities which can be oriented towards assisting with support from networks over a sustained length of time. This may include negotiating acceptable connections to resources and activities which in turn may help change existing practice in ways that improve long-term condition management.

Indexed as

Social NetworkingSocial SupportChronic DiseaseDisease ManagementHumansLongitudinal StudiesSelf CareSelf EfficacySelf-ManagementTrustcollective efficacylong-term conditionsmeta-synthesisself-efficacyself-management

Identifiers

PMID31231928
PMCPMC6852408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.