Evidence map›Paper›PMID 37423624›Full record

ArticleBMJ open2023

Smartphone-based versus traditional face-to-face collaborative care for community-dwelling older adults living with dementia in China: protocol for an implementation science-based sequential multiple assignment randomised trial.

Yang Wan, Yan Cai, Shiyi Liao, Qin Zhao, Yangyang Wang, Xiaozhen Song, Steven Siyao Meng, Xiaoyi Ji, Yue Wu, Peiyuan Qiu

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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

10 authors at 2 institutions in 2 countries.

Yang Wan *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yan Cai *Evidence-Based Nursing Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shiyi LiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Qin ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yangyang WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaozhen SongMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Steven Siyao MengDepartment of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA.
Xiaoyi JiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yue WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Peiyuan QiuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China qiupeiyuan@scu.edu.cn.ORCID 0000-0002-6485-1459
Sichuan University · CNUniversity of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe high costs of institutional care and the burdensome demands of home care are challenging for families of adults with dementia. The collaborative care model (CCM) provides a potential solution to these challenges. Leveraging advancements in mobile technologies, smartphone-based management could offer a feasible means of providing collaborative care in a community setting. Therefore, this study aims to establish a CCM for home-cared older adults with dementia to determine the best strategy to deliver collaborative care, including both the channel and frequency of delivery. METHODS AND ANALYSIS: This study will be conducted in the communities of Chengdu city, Sichuan province, China. It is designed under the framework of implementation science. In the first stage, intervention strategies for community-dwelling older adults with dementia and their caregivers will be developed using Delphi methods and focus group interviews. The second stage will involve designing a sequential multiple assignment randomised trial to compare the effectiveness of face-to-face intervention versus a WeChat mini program-based intervention. This comparison will involve 358 pairs of older adults with dementia and their caregivers, with the frequency of intervention also assessed. Follow-up evaluations will be implemented at the 6th, 12th and 18th months post-intervention initiation. Primary outcomes encompass the proportion of patients demonstrating an improvement in quality of life and the proportion of caregivers exhibiting a reduction in caregiver burden. Analysis will be based on the intention-to-treat principle, and the generalised estimating equation approach will be used. Incremental cost-effectiveness ratios will be used to evaluate the cost-effectiveness of different delivery methods and frequencies. ETHICS AND DISSEMINATION: This study has received approval from the Ethics Committee of West China Fourth Hospital/School of Public Health, Sichuan University (Gwll2022004). Informed consent will be obtained for all participants. The findings of the study will be disseminated through peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: ChiCTR2200057945.

Indexed as

DementiaIndependent LivingAgedChinaCost-Benefit AnalysisHumansImplementation ScienceQuality of LifeRandomized Controlled Trials as TopicSmartphoneDementiaPRIMARY CAREProtocols & guidelines

Identifiers

PMID37423624
PMCPMC10335512
OpenAlexW4383682566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.