Evidence map›Paper›PMID 33258788›Full record

Trial reportJournal of medical Internet research2020

Mobile Texting and Lay Health Supporters to Improve Schizophrenia Care in a Resource-Poor Community in Rural China (LEAN Trial): Randomized Controlled Trial Extended Implementation.

Yiyuan Cai, Wenjie Gong, Hua He, James P Hughes, Jane Simoni, Shuiyuan Xiao, Stephen Gloyd, Meijuan Lin, Xinlei Deng, Zichao Liang and 5 more

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 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

15 authors.

Yiyuan Cai *School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8845-7309
Wenjie Gong *Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7943-4041
Hua HeSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.ORCID 0000-0001-8989-0297
James P HughesDepartment of Biostatistics, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5034-3157
Jane SimoniDepartment of Psychology, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8711-1576
Shuiyuan XiaoXiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-2046-5564
Stephen GloydDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID 0000-0001-7017-8750
Meijuan LinSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-3646-6518
Xinlei DengSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-8129-6007
Zichao LiangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-1233-3385
Wenjun HeSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-6993-1837
Bofeng DaiSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-2520-4096
Jing LiaoSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-6370-3430
Yuantao HaoSchool of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-8024-5312
Dong Roman Xu *Acacia Lab for Health Systems Strengthening and Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7438-632X

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Manoj P Menon · 1988 to 2026
$104.9M
University of Washington Center for Demography and Economics of Aging-OverallP30AG047845 · NIA · UNIVERSITY OF WASHINGTON · PI MURRAY, CHRISTOPHER J.L. · 2014 to 2019
$3.8M
NIAID NIH HHS P30 AI027757NIA NIH HHS P30 AG047845
6 · The paper itself

Abstract

backgroundSchizophrenia is a severe and disabling condition that presents a dire health equity challenge. Our initial 6-month trial (previously reported) using mobile texting and lay health supporters, called LEAN, significantly improved medication adherence from 0.48 to 0.61 (adjusted mean 0.11, 95% CI 0.03 to 0.20, P=.007) for adults with schizophrenia living in a resource-poor village in rural China.

objectiveWe explored the effectiveness of our texting program in improving participants' medication adherence, functioning, and symptoms in an extended implementation of the intervention after its initial phase.

methodsIn an approximated stepped-wedge wait-list design randomized controlled trial, 277 community-dwelling villagers with schizophrenia were assigned 1:1 in phase 1 into intervention and wait-list control groups. The intervention group received (1) lay health supporters (medication or care supervisors), (2) e-platform (mobile-texting reminders and education message) access, (3) a token gift for positive behavioral changes, and (4) integration with the existing government community-mental health program (the 686 Program) while the wait-listed control group initially only received the 686 Program. Subsequently (in the extended period), both groups received the LEAN intervention plus the 686 Program. The primary outcome was antipsychotic medication adherence (percentage of dosages taken over the past month assessed by unannounced home-based pill counts). The secondary outcomes were symptoms measured during visits to 686 Program psychiatrists using the Clinical Global Impression scale for schizophrenia and functioning measured by trained student assessors using the World Health Organization Disability Assessment Schedule 2.0. Other outcomes included data routinely collected in the 686 Program system (refill records, rehospitalization due to schizophrenia, death for any reason, suicide, wandering, and violent behaviors). We used intention-to-treat analysis and missing data were imputed. A generalized estimating equation model was used to assess program effects on antipsychotics medication adherence, symptoms, and functioning.

resultsAntipsychotics medication adherence improved from 0.48 in the control period to 0.58 in the extended intervention period (adjusted mean difference 0.11, 95% CI 0.04 to 0.19; P=.004). We also noted an improvement in symptoms (adjusted mean difference -0.26, 95% CI -0.50 to -0.02; P=.04; Cohen d effect size 0.20) and a reduction in rehospitalization (0.37, 95% CI 0.18 to 0.76; P=.007; number-needed-to-treat 8.05, 95% CI 4.61 to 21.41). There was no improvement in functioning (adjusted mean difference 0.02, 95% CI -0.01 to 0.06; P=.18; Cohen d effect size 0.04).

conclusionsIn an extended implementation, our intervention featuring mobile texting messages and lay health workers in a resource-poor community setting was more effective than the 686 Program alone in improving medication adherence, improving symptoms, and reducing rehospitalization.

trial registrationChinese Clinical Trial Registry; ChiCTR-ICR-15006053 https://tinyurl.com/y5hk8vng.

Indexed as

ChinaFemaleHumansMalePublic HealthSchizophreniaText Messaginglay health workermedication adherencemHealthmobile textingprimary health carequality of careresource-poor communityschizophrenia

Identifiers

PMID33258788
PMCPMC7738261

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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.