Evidence map›Paper›PMID 39725926›Full record

SynthesisBMC geriatrics2024

Barriers and facilitators to participation in electronic health interventions in older adults with cognitive impairment: an umbrella review.

Chunyi Zhou, Yating Ai, Sixue Wang, Yue Yuan, Ailin Zhang, Hui Hu, Yuncui Wang

Abstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
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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

7 authors.

Chunyi Zhou *School of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Yating Ai *School of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Sixue WangSchool of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Yue YuanSchool of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Ailin ZhangSchool of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Hui HuSchool of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China. zhongyi90@163.com.
Yuncui WangSchool of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China. yuncui_wang@hbucm.edu.cn.

Funding

the Institute of Philosophy and Social Science of Hubei Provincial Department of Education 22Q098the National Natural Science Foundation of China under 72374068
6 · The paper itself

Abstract

backgroundResearch increasingly supports the role of electronic health technology in improving cognitive function. However, individuals with mild cognitive impairment or dementia often show low compliance with electronic health technology. To understand the barriers and facilitators for this group, this study was conducted.

methodsThis study used the Joanna Briggs Institute (JBI) umbrella review method, searching relevant English articles in PubMed, Embase, Cochrane, Scopus, MEDLINE, Web of Science, and CINAHL from inception to May 2023. Two researchers independently selected articles based on predefined criteria, assessed study quality using Meta-QAT and A Measurement Tool to Assess Systematic Reviews (AMSTAR), and determined confidence in the evidence using GRADE-CERQual. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed to analyze factors related to electronic health technology, and Behavior Change Techniques (BCTs) were used to develop implementation strategies.

resultsThis study included 21 reviews, covering 535 primary studies, identifying 13 factors. The three most impactful factors on engagement were Perceived Behavioral Control, Relative Advantage, and Social Factors. Six implementation strategies were formulated based on BCT: enhancing targeted approaches, adapting to existing contexts, involving care organizations, accommodating family involvement, accessing virtual community resources, and recognizing patient variability.

conclusionsThis umbrella review underscores the need for a multi-level stakeholder approach and a holistic perspective in developing targeted implementation strategies. Using the UTAUT framework, key influential factors have been identified, offering valuable insights for future interventions and enhancing participation in electronic health interventions. REGISTRATION: This study was registered with the PROSPERO (CRD42023429410).

Indexed as

Cognitive DysfunctionTelemedicineAgedDementiaHumansPatient ParticipationBarriersDementiaElectronic healthFacilitatorsMild cognitive impairmentUmbrella review

Identifiers

PMID39725926
PMCPMC11670401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.