ArticleBMJ open2022
A search for relevant contextual factors in intervention studies: a stepwise approach with online information.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03168204 (Study Protocol of the D-SCOPE Project With a Randomized Controlled Trial, Evaluating the Efficacy of a Detection and Prevention Program for Frail Community-dwelling Older Adults), which is not on this map. Cited by 2 papers.
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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.
Study Protocol of the D-SCOPE Project With a Randomized Controlled Trial, Evaluating the Efficacy of a Detection and Prevention Program for Frail Community-dwelling Older Adults
Who cites it
2 citing papers in PubMed.
- A study on the application of the remote multidisciplinary team teaching model in clinical postgraduate education of urology.BMC medical education · 2026Trial
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of the present study is to describe a stepwise approach to study which contextual factors might moderate the effect of healthcare interventions and to test feasibility of this approach within the D-SCOPE project.
designExploratory case study.
settingIn the D-SCOPE project, a complex intervention by means of home visits was set up to improve access to tailored care in three municipalities (Ghent, Knokke-Heist and Tienen).
methodsOne designed and tested an approach including five steps: (1) a theoretical/conceptual discussion of relevant contextual factor domains was held; (2) a search was done to find appropriate web-based public datasets which covered these topics with standardised information; (3) a list of all identified contextual factors was made (inventory); (4) to reduce the long list of contextual factors, a concise list of most relevant contextual factors was developed based on the opinion of two independent reviewers and (5) a nominal grouping technique (NGT) was applied.
resultsThree public web-based datasets were found resulting in an inventory of 157 contextual factors. After the selection by two independent reviewers, 41 contextual factors were left over and presented in a NGT which selected 10 contextual factors. The NGT included seven researchers, all familiar with the D-SCOPE intervention, with various educational backgrounds and expertise and lasted approximately 1 hour.
conclusionThe present study shows that a five-step approach is feasible to determine relevant contextual factors that might affect the results of an intervention study. Such information may be used to correct for in the statistical analyses and for interpretation of the outcomes of intervention studies.NCT03168204.
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