ArticleBMC psychology2019
"It all needs to be a full jigsaw, not just bits": exploration of healthcare professionals' beliefs towards supported self-management for long-term conditions.
Article in BMC psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Experiences of living with long COVID and of accessing healthcare services: a qualitative systematic review.BMJ open · 2022Pooled it
- Pooled it
- Use of the behaviour change wheel to improve everyday person-centred conversations on physical activity across healthcare.BMC public health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLong-Term Conditions are physical health issues which profoundly impact physical and psychological outcomes and have reached epidemic worldwide levels. An increasing evidence-base has developed for utilizing Supported Self-Management to ensure Health, Social Care & Voluntary staff are knowledgeable, skilled, and experienced to enable patients to have the confidence and capability to self-manage their conditions. However, despite Health Psychology theories underpinning chronic care models demonstrating beliefs are crucially associated with intention and behaviour, staff beliefs towards Supported Self-Management have received little attention. Therefore, the study aimed to explore healthcare professionals' beliefs towards Supported Self-Management for Long-Term Conditions using the Theory of Planned Behaviour.
methodsA mixed-methods approach was conducted within a single UK local government authority region in 2 phases: (1) Qualitative focus group of existing Supported Self-Management project staff (N = 6); (2) Quantitative online questionnaire of general Long-Term Conditions staff (N = 58).
results(1) Eighty two utterances over 20 theme sub-codes demonstrated beliefs that Supported Self-Management improves healthcare outcomes, but requires enhancements to patient and senior stakeholder buy-in, healthcare culture-specific tailoring, and organizational policy and resources; (2) Mean scores indicated moderate-strength beliefs that Supported Self-Management achieves positive healthcare outcomes, but weak-strength intentions to implement Supported Self-Management and beliefs it is socially normative and perceived control over implementing it. Crucially, regression analyses demonstrated intentions to implement Supported Self-Management were only associated with beliefs that important others supported it and perceived control over, or by whether it was socially encouraged.
conclusionsHealthcare professionals demonstrated positive attitudes towards Supported Self-Management improving healthcare outcomes. However, intentions towards implementing this approach were low with staff only slightly believing important others (including patients and clinicians) supported it and that they had control over using it. Future Supported Self-Management projects should seek to enhance intention (and consequently behaviour) through targeting beliefs that important others do indeed actually support this approach and that staff have control over implementing it, as well as enhancing social encouragement.
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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.