Evidence map›Paper›PMID 32945774›Full record

Trial reportJournal of medical Internet research2020

New Path to Recovery and Well-Being: Cross-Sectional Study on WeChat Use and Endorsement of WeChat-Based mHealth Among People Living With Schizophrenia in China.

Yu Yu, Yilu Li, Tongxin Li, Shijun Xi, Xi Xiao, Shuiyuan Xiao, Jacob Kraemer Tebes

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Pooled it
  3. Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

7 authors.

Yu YuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-7657-720X
Yilu LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-2642-4579
Tongxin LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-5225-6716
Shijun XiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-6424-9302
Xi XiaoDepartment of Psychiatry, Changsha Psychiatric Hospital, Changsha, China.ORCID 0000-0003-2622-8751
Shuiyuan XiaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7770-3797
Jacob Kraemer TebesDivision of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0003-0118-289X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe past few decades have seen an exponential increase in using mobile phones to support medical care (mobile health [mHealth]) among people living with psychosis worldwide, yet little is known about WeChat use and WeChat-based mHealth among people living with schizophrenia (PLS) in China.

objectiveThis study aims to assess WeChat use, endorsement of WeChat-based mHealth programs, and health related to WeChat use among PLS.

methodsWe recruited a random sample of 400 PLS from 12 communities in Changsha City of Hunan Province, China. WeChat use was assessed using the adapted WeChat Use Intensity Questionnaire (WUIQ). We also compared psychiatric symptoms, functioning, disability, recovery, quality of life, and general well-being between WeChat users and nonusers using one-to-one propensity-score matching.

resultsThe WeChat use rate was 40.8% in this sample (163/400); 30.7% (50/163) had more than 50 WeChat friends and nearly half (81/163, 49.7%) spent more than half an hour on WeChat, a pattern similar to college students and the elderly. PLS also showed higher emotional connectedness to WeChat use than college students. About 80.4% (131/163) of PLS were willing to participate in a WeChat-based mHealth program, including psychoeducation (91/163, 55.8%), professional support (82/163, 50.3%), and peer support (67/163, 41.1%). Compared with nonusers, WeChat users were younger, better educated, and more likely to be employed. WeChat use was associated with improved health outcomes, including lower psychiatric symptoms, lower depression, higher functioning, better recovery, and higher quality of life.

conclusionsWeChat-based mHealth programs hold promise as an empowering tool to provide cost-effective interventions, to foster global recovery, and to improve both physical and mental well-being among PLS. WeChat and WeChat-based mHealth programs have the potential to offer a new path to recovery and well-being for PLS in China.

Indexed as

AdultCell PhoneChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeSchizophreniaTelemedicineChinafunctioningmHealthquality of liferecoveryschizophreniasymptomsWeChatwell-being

Identifiers

PMID32945774
PMCPMC7532456

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.