ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024
Nonparticipation in a Digital Health Intervention Study Among Older Adults: Uneven Involvement, Biased Outcomes, and the Effect of Weighting.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThe involvement of older adults in research on digital health is uneven with respect to, for example, age, gender, health status, and digital skills. However, little is known regarding the effect of the uneven involvement of older adults in digital health research on researched outcomes. This study helps to fill this knowledge gap, identifies the effects of uneven involvement of older adults in digital health research on researched outcomes, and also develops a correction for this.
methodsData are retrieved from a digital health intervention for postoperative monitoring of people who underwent day surgery in Sweden. Based on field information on the recruitment process and researched outcomes for the intervention, this study (i) tested intervention effects by using 2 standard unweighted procedures in a sample of 281 individuals aged 50 years or older, and then (ii) used the information on participants, nonparticipants, and their respective probabilities to be involved in the intervention study to perform a weighting of the intervention effects for each step of selection and for the study group membership.
resultsThe intervention effects were found to be overestimated due to overrepresentation of groups that gained from receiving the intervention. No intervention effects were found after adjustment for participation bias.
conclusionsSelective participation of older adults in digital health research biases research outcomes and can lead to overestimation of intervention effects. Weighting allows researchers to correct and describe the effect of selective participation on researched outcomes.
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.