Evidence map›Paper›PMID 31013275›Full record

Trial reportPLoS medicine2019

Lay health supporters aided by mobile text messaging to improve adherence, symptoms, and functioning among people with schizophrenia in a resource-poor community in rural China (LEAN): A randomized controlled trial.

Dong Roman Xu, Shuiyuan Xiao, Hua He, Eric D Caine, Stephen Gloyd, Jane Simoni, James P Hughes, Juan Nie, Meijuan Lin, Wenjun He and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 7 pooled it
15.8field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 7 syntheses or guidelines pooled it, 78 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

12 authors at 6 institutions in 2 countries.

Dong Roman XuSun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0001-7438-632X
Shuiyuan XiaoXiangya School of Public Health, Central South University, Changsha, Hunan, China.
Hua HeDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America.ORCID 0000-0001-8989-0297
Eric D CaineDepartment of Psychiatry, University of Rochester Medical Center, Rochester, New York, United States of America.
Stephen GloydDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Jane SimoniDepartment of Psychology, University of Washington, Seattle, Washington, United States of America.
James P HughesDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Juan NieSun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China.
Meijuan LinXiangya School of Public Health, Central South University, Changsha, Hunan, China.
Wenjun HeSun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yeqing YuanSilver School of Social Work, New York University, New York, New York, United States of America.
Wenjie GongXiangya School of Public Health, Central South University, Changsha, Hunan, China.ORCID 0000-0002-7943-4041
Central South University · CNSun Yat-sen University · CNUniversity of Washington · USNew York University · USTulane University · USUniversity of Rochester Medical Center · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Northern/Pacific Universities Global Health Research Training ConsortiumR25TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI KOLARS, JOSEPH C., NERURKAR, VIVEK RAMCHANDRA · 2012 to 2016
$5.9M
FIC NIH HHS R25 TW009345NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

backgroundSchizophrenia is a leading cause of disability, and a shift from facility- to community-based care has been proposed to meet the resource challenges of mental healthcare in low- and middle-income countries. We hypothesized that the addition of mobile texting would improve schizophrenia care in a resource-poor community setting compared with a community-based free-medicine program alone. METHODS AND

findingsIn this 2-arm randomized controlled trial, 278 community-dwelling villagers (patient participants) were randomly selected from people with schizophrenia from 9 townships of Hunan, China, and were randomized 1:1 into 2 groups. The program participants were recruited between May 1, 2015, and August 31, 2015, and the intervention and follow-up took place between December 15, 2015, and July 1, 2016. Baseline characteristics of the 2 groups were similar. The patients were on average 46 years of age, had 7 years of education, had a duration of schizophrenia of 18 years with minimal to mild symptoms and nearly one-fifth loss of functioning, and were mostly living with family (95%) and had low incomes. Both the intervention and the control groups received a nationwide community-based mental health program that provided free antipsychotic medications. The patient participants in the intervention group also received LEAN (Lay health supporters, E-platform, Award, and iNtegration), a program that featured recruitment of a lay health supporter and text messages for medication reminders, health education, monitoring of early signs of relapses, and facilitated linkage to primary healthcare. The primary outcome was medication adherence (proportion of dosages taken) assessed by 2 unannounced home-based pill counts 30 days apart at the 6-month endpoint. The secondary and other outcomes included patient symptoms, functioning, relapses, re-hospitalizations, death for any reason, wandering away without notifying anyone, violence against others, damaging goods, and suicide. Intent-to-treat analysis was used. Missing data were handled with multiple imputations. In total, 271 out of 278 patient participants were successfully followed up for outcome assessment. Medication adherence was 0.48 in the control group and 0.61 in the intervention group (adjusted mean difference [AMD] 0.12 [95% CI 0.03 to 0.22]; p = 0.013; effect size 0.38). Among secondary and other outcomes we noted substantial reduction in the risk of relapse (26 [21.7%] of 120 interventional participants versus 40 [34.2%] of 117 controls; relative risk 0.63 [95% CI 0.42 to 0.97]; number needed to treat [NNT] 8.0) and re-hospitalization (9 [7.3%] of 123 interventional participants versus 25 [20.5%] of 122 controls; relative risk 0.36 [95% CI 0.17 to 0.73]; NNT 7.6). The program showed no statistical difference in all other outcomes. During the course of the program, 2 participants in the intervention group and 1 in the control group died. The limitations of the study include its lack of a full economic analysis, lack of individual tailoring of the text messages, the relatively short 6-month follow-up, and the generalizability constraint of the Chinese context.

conclusionsThe addition of texting to patients and their lay health supporters in a resource-poor community setting was more effective than a free-medicine program alone in improving medication adherence and reducing relapses and re-hospitalizations. Future studies may test the effectiveness of customization of the texting to individual patients.

trial registrationChinese Clinical Trial Registry ChiCTR-ICR-15006053.

Indexed as

Medication AdherencePsychosocial Support SystemsText MessagingAdultAllied Health PersonnelCell PhoneChinaFemaleHealth ResourcesHumansIndependent LivingMaleMiddle AgedPatient ParticipationPhysical Functional PerformancePoverty Areas

Identifiers

PMID31013275
PMCPMC6478272
OpenAlexW2940899144

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.