ArticleHealth & social care in the community2022
Examining the optimal factors that promote implementation and sustainability of a network intervention to alleviate loneliness in community contexts.
Article in Health & social care in the community, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Exploring the use of social network interventions for adults with mental health difficulties: a systematic review and narrative synthesis.BMC psychiatry · 2023Pooled it
- Assessing a facilitated social network intervention for health outcomes in lonely and socially isolated people: the pragmatic, cluster-randomized PALS trial.Frontiers in public health · 2026Trial
- Examining the optimal factors that promote implementation and sustainability of a network intervention to alleviate loneliness in community contexts.Health & social care in the community · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Community environments have the potential to alleviate loneliness and social isolation as they offer opportunity for sociality and to expand personal social network connections. Implementing a social network intervention in community environments to connect people to who are at risk of loneliness or social isolation could help alleviate these concerns. However, implementing interventions in community environments is made difficult by the interplay between the community context and intervention. Thus, to support implementation a detailed understanding of the types of community contexts is required. To examine the optimal factors that promote the implementation of a social network designed to alleviate loneliness and social isolation intervention in the community observations, interviews and documentary analysis were conducted. The Consolidated Framework for Implementation Research and a typology of community contexts were used to inform the data analysis and interpret the findings. Key factors were found to affect the implementation of the intervention in the different community contexts. These inter-related factors operated across three domains. Service User Needs affected intervention take up as its suitability varied. The stability of the workforce and nature of everyday work also impacted on implementation. Finally, the fluctuating capacity of organisations and the organisational culture were also influential. No single community environment was found to have all of the optimal factors required for implementation and sustainably. The UK policy agenda of austerity had negatively affected community environments' capacity to deliver such intervention through increasing service user needs and reducing available resources. Trial registration: ISRCTN19193075.
Indexed as
Identifiers
What OpenQuestion holds
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.