Evidence map›Paper›PMID 35438649›Full record

Trial reportJMIR mHealth and uHealth2022

Residual Effect of Texting to Promote Medication Adherence for Villagers with Schizophrenia in China: 18-Month Follow-up Survey After the Randomized Controlled Trial Discontinuation.

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

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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 *Department of Epidemiology and Health Statistic, School of Public Health, Guizhou Medical University, Guiyang, China.ORCID 0000-0002-8845-7309
Wenjie Gong *HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7943-4041
Wenjun HeCenter for World Health Organization (WHO) Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China.ORCID 0000-0002-6993-1837
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 Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, 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
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 XuCenter for World Health Organization (WHO) Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China.ORCID 0000-0001-7438-632X

Funding

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
NIA NIH HHS P30 AG047845World Health Organization 001
6 · The paper itself

Abstract

backgroundReducing the treatment gap for mental health in low- and middle-income countries is a high priority. Even with treatment, adherence to antipsychotics is rather low. Our integrated intervention package significantly improved medication adherence within 6 months for villagers with schizophrenia in resource-poor communities in rural China. However, considering the resource constraint, we need to test whether the effect of those behavior-shaping interventions may be maintained even after the suspension of the intervention.

objectiveThe aim of this study is to explore the primary outcome of adherence and other outcomes at an 18-month follow-up after the intervention had been suspended.

methodsIn a 6-month randomized trial, 277 villagers with schizophrenia were randomized to receive either a government community mental health program (686 Program) or the 686 Program plus Lay health supporters, e-platform, award, and integration (LEAN), which included health supporters for medication or care supervision, e-platform access for sending mobile SMS text messaging reminders and education message, a token gift for positive behavior changes (eg, continuing taking medicine), and integrating the e-platform with the existing 686 Program. After the 6-month intervention, both groups received only the 686 Program for 18 months (phase 2). Outcomes at both phases included antipsychotic medication adherence, functioning, symptoms, number of rehospitalization, suicide, and violent behaviors. The adherence and functioning were assessed at the home visit by trained assessors. We calculated the adherence in the past 30 days by counting the percentage of dosages taken from November to December 2018 by unannounced home-based pill counts. The functioning was assessed using the World Health Organization Disability Assessment Schedule 2.0. The symptoms were evaluated using the Clinical Global Impression-Schizophrenia during their visits to the 686 Program psychiatrists. Other outcomes were routinely collected in the 686 Program system. We used intention-to-treat analysis, and missing data were dealt with using multiple imputation. The generalized estimating equation model was used to assess program effects on adherence, functioning, and symptoms.

resultsIn phase 1, antipsychotic adherence and rehospitalization incidence improved significantly. However, in phase 2, the difference of the mean of antipsychotic adherence (adjusted mean difference 0.05, 95% CI -0.06 to 0.16; P=.41; Cohen d effect size=0.11) and rehospitalization incidence (relative risk 0.65, 95% CI 0.32-1.33; P=.24; number needed to treat 21.83, 95% CI 8.30-34.69) was no longer statistically significant, and there was no improvement in other outcomes in either phase (P≥.05).

conclusionsThe simple community-based LEAN intervention could not continually improve adherence and reduce the rehospitalization of people with schizophrenia. Our study inclined to suggest that prompts for medication may be necessary to maintain medication adherence for people with schizophrenia, although we cannot definitively exclude other alternative interpretations.

Indexed as

Antipsychotic AgentsSchizophreniaText MessagingChinaFollow-Up StudiesHumansMedication AdherenceAntipsychotic Agentslay health workermaintenancemedication adherencemental healthmHealthmobile textingpatient outcomesprimary health carequality of careresidual effectresource-poor communityschizophrenia

Identifiers

PMID35438649
PMCPMC9066323

What OpenQuestion holds

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LicenceCC BY
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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.