ArticleHeliyon2023
Who benefits from self-management support? Results from a randomized controlled trial.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- Comparing TCIM use and patient satisfaction in germany: impact of health self-management across migration backgrounds.Journal of health, population, and nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Self-management support models adapted to accommodate the needs of each patient are complex interventions that should be evaluated for intervention mechanisms. In a national randomized controlled trial (RCT), we evaluated the efficacy of telephone-based self-management support that demonstrated improved health-related quality of life (HRQoL), no reduction in hospital admissions, and an unexpected increase in primary healthcare services. Objective: The objective of this study is to identify RCT impact mechanisms and explore which participants could benefit the most from the PaHS intervention. Methods: This study evaluates intervention mechanisms through interaction analyses of predefined intervention moderators (sex, age, education, chronic disease, risk of hospital admissions, and coping) and post-hoc intervention mediators (contacts in primary care and anxiety medication). The one co-primary outcome HRQoL was assessed with SF26v2 and analyzed with generalized linear mixed models and the other co-primary hospital admissions was analyzed with poisson regression. Results: PaHS interacted with diabetes, multimorbidity, coping, and anxiety medication on the outcome hospital admissions. PaHS led to a significant reduction in hospital admissions in participants with diabetes or multimorbidity and an increase in hospital admissions in participants with higher baseline coping and participants using anxiety medication. The interaction analyses revealed significant intervention mediation in the outcome HRQoL by sex and diabetes. Conclusions: Participants with diabetes, multimorbidity, and women could benefit the most from telephone-based self-management support, but the intervention involves the risk of over-treatment.
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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.