ArticleInternet interventions2023
Incorporating technology in research with older bereaved adults: Lessons learned from conducting an internet-based randomized controlled trial.
Article in Internet interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- The role of technology-based interventions in older adults experiencing spousal bereavement: a systematic review of clinical trials.BMC psychology · 2026Pooled it
- Editorial for INVENT special issue of the ISRII 2022 meeting.Internet interventions · 2024Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Digital health interventions (DHI) involve multiple interactions between the user, technology platform, and study team, posing challenges for implementation. This paper describes the lessons learned while implementing an internet-based randomized controlled trial (RCT) for reducing depression symptom burden in older acutely-bereaved adults. Methods: The RCT was entitled "Widowed Elders' Lifestyle after Loss" (or WELL), which compared the efficacy of a DHI to an enhanced usual care (EUC) for reducing depression symptoms in adults 60+ years who lost their spouse/life partner within the previous 12 months. Participants randomized to the DHI used their own tablet, smartphone, or pc to record the timing and regularity of sleep, meals, and physical activity twice daily, for 12 weeks. The also received weekly health coaching sessions from a clinician certified in motivational interviewing. Participants randomized to the EUC arm received weekly calls from research staff and were assessed on the same schedule as intervention participants. All study procedures were conducted virtually. Methodological and procedural challenges were discussed weekly with study staff and the primary investigator. Results: Many challenges can be categorized as follows recruiting virtually, obtaining informed consent, training older adults to use technology, and establishing rapport with older adults. Solutions required researcher and interventionist flexibility in adapting to new strategies. For instance, we redesigned the informed consent process to include a user-friendly brochure that enhanced participants' understanding of the RCT and improved our enrollment rate. We also utilized user-engagement in refining an intervention protocol. Conclusion: We resolved implementation challenges without compromising internal validity via interdisciplinary collaborations with mobile programmers to ensure our technology met the unique and varied needs of aging users. The solutions from this study may promote the recruitment and retainment of older adults in research studies that use technology-based interventions.
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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.