Evidence map›Paper›PMID 35797100›Full record

ArticleJournal of medical Internet research2022

Behavioral Change Factors and Retention in Web-Based Interventions for Informal Caregivers of People Living With Dementia: Scoping Review.

Kuan-Ching Wu, Yan Su, Frances Chu, Annie T Chen, Oleg Zaslavsky

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kuan-Ching WuSchool of Nursing, University of Washington, Seattle, WA, United States.ORCID 0000-0002-0296-1409
Yan SuSchool of Nursing, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5502-5043
Frances ChuSchool of Nursing, University of Washington, Seattle, WA, United States.ORCID 0000-0002-9584-9642
Annie T ChenDepartment of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0003-3070-8336
Oleg ZaslavskyBiobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, United States.ORCID 0000-0002-6724-9252
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeb-based interventions aimed at supporting informal caregivers of people living with dementia have the potential to improve caregivers' well-being and psychological health. However, few interventions are widely implemented for this population, and none of the prior reviews have systematically examined the use of behavior change techniques (BCTs), theories, and agents in web-based interventions for informal caregivers of people living with dementia. To better understand this implementation gap, we reviewed the literature to map behavioral factors (BCTs, theories, and agents) deployed in the studies. Furthermore, because there is an emerging consensus that retention could be shaped by participant characteristics and behavioral factors, we explored relationships between these features and retention rates across studies.

objectiveWe pursued 3 objectives: to map behavioral factors involved in the web-based interventions for informal caregivers of people living with dementia; to examine the relationship between behavioral change elements and retention in the studies; and to examine the relationship between participant characteristics (gender, age, and spouse or adult children caregiver proportion) and study retention.

methodsWe conducted a literature review using the following keywords and their corresponding Medical Subject Headings terms: dementia, caregivers, and web-based intervention. The time limits were January 1998 to March 2022. Using the BCTv1 taxonomy, which specifies active behavioral components in interventions, 2 coders collected, summarized, and analyzed the frequency distributions of BCTs. Similarly, they abstracted and analyzed participant characteristics, behavior change theories, behavior change agents, and retention rates in the studies.

resultsThe average age was 61.5 (SD 7.4) years, and the average proportion of spousal informal caregivers, adult children informal caregivers, and retention rates were 51.2% (SD 24.8%), 44.8% (SD 22%), and 70.4% (SD 17%), respectively. Only 53% (17/32) of the studies used behavior change theories, but 81% (26/32) included behavior change agents. The most common BCTv1 clusters were shaping knowledge and social support. The median number of BCTv1 clusters was 5 (IQR 3). We observed a negative correlation between the proportion of spousal informal caregivers and the retention rate (r=-0.45; P=.02) and between the number of BCTv1 clusters and retention rates (r=-0.47; P=.01). We also found that the proportion of adult children informal caregivers in the study was significantly and positively correlated with the retention rate (r=0.5; P=.03). No other participant characteristics or behavioral factors were associated with retention rates.

conclusionsWe found that almost half of the studies were not informed by behavior change theories. In addition, spousal involvement and a higher number of BCTs were each associated with lower retention rates, while the involvement of adult children caregivers in the study was associated with higher retention. In planning future studies, researchers should consider matching participant characteristics with their intended intervention as the alignment might improve their retention rates.

Indexed as

DementiaInternet-Based InterventionAdultAdult ChildrenAgedCaregiversHumansMental HealthMiddle AgedSocial SupportagingBCTbehaviorbehavior change techniquecaregivercaregivingchange techniquecognitiondementiadigital healthgerontologyhealth interventioninformal careinformal caregiversinternetinterventionneurological disorderolder adult populationpeer supportpsychological healthretentionreviewscopingtaxonomyweb-basedweb-based intervention

Identifiers

PMID35797100
PMCPMC9305400
OpenAlexW4282595733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.