Nonparticipation in a Digital Health Intervention Study Among Older Adults: Uneven Involvement, Biased Outcomes, and the Effect of Weighting
Arianna Poli, Ingemar Kåreholt, Susanne Kelfve, Katarina Berg, Andreas Motel-Klingebiel, Lewis A Lipsitz · 2024
Read Nonparticipation in a Digital Health Intervention Study Among Older Adults: Uneven Involvement, Biased Outcomes, and the Effect of Weighting by Arianna Poli, Ingemar Kåreholt, Susanne Kelfve, Katarina Berg, Andreas Motel-Klingebiel, Lewis A Lipsitz (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11662210.txt.
Description
Arianna Poli and co-authors study who skips digital health studies among older adults in a 2024 paper. Older adults join such research unevenly, by age, sex, health, and digital skill. Little was known about how that uneven mix bends study results, or how to correct it, so the team used data from a Swedish day surgery monitoring study.
First, effects were tested in a sample of 281 people aged fifty and older with two standard unweighted methods. Then the team weighted the effects using known chances of joining at each selection step. Effects proved too high, due to over joining by groups that gained most. The weighting method offers a fix for future digital health trials.
Catalog record
| CREATOR | Arianna Poli, Ingemar Kåreholt, Susanne Kelfve, Katarina Berg, Andreas Motel-Klingebiel, Lewis A Lipsitz |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |