Evidence map›Paper›PMID 29807806›Full record

Trial reportSchizophrenia research2018

Measuring adherence to antipsychotic medications for schizophrenia: Concordance and validity among a community sample in rural China.

Dong Roman Xu, Wenjie Gong, Steve Gloyd, Eric D Caine, Jane Simoni, James P Hughes, Shuiyuan Xiao, Wenjun He, Bofeng Dai, Meijuan Lin and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Schizophrenia research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Dong Roman XuSun Yat-sen Global Health Institute (SGHI), School of Public Health and Institute of National Governance of Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenjie GongXiangya School of Public Health, Central South University, Changsha, Hunan, China. Electronic address: gongwenjie@csu.edu.cn.
Steve GloydDepartment of Global Health, University of Washington, Seattle, WA, USA.
Eric D CaineDepartment of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA.
Jane SimoniDepartment of Phycology, University of Washington, Seattle, WA, USA.
James P HughesDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Shuiyuan XiaoXiangya School of Public Health, Central South University, Changsha, Hunan, China.
Wenjun HeDepartment of Statistics, School of Public Health of Sun Yat-sen University, Guangzhou, Guangdong, China.
Bofeng DaiDepartment of Statistics, School of Public Health of Sun Yat-sen University, Guangzhou, Guangdong, China.
Meijuan LinXiangya School of Public Health, Central South University, Changsha, Hunan, China.
Juan NieSun Yat-sen Global Health Institute (SGHI), School of Public Health and Institute of National Governance of Sun Yat-sen University, Guangzhou, Guangdong, China.
Hua HeDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

Funding

NPGH LEADERs YR12: OBSSR (Greenberg, Ngwafong Mukere) & NIBIB (Lee)D43TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI Dibyadyuti Datta, Chandy C. John · 2017 to 2026
$15.2M
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 D43 TW009345FIC NIH HHS R25 TW009345
6 · The paper itself

Abstract

backgroundDespite the abundance of measures to assess medication adherence by persons suffering schizophrenia, few studies have evaluated their concordance and validity against a reference standard in resource-poor community settings. We explored the concordance and validity of several measures to assess antipsychotic medication adherence in a resource-poor community.

methodBased on a random sample of 278 villagers diagnosed with schizophrenia from Liuyang, Hunan Province, China, we used a concordance correlation coefficient (r

resultsThe estimated proportion of adherent patients according to all measures (41% ~ 88%) was substantially higher than identified by UPC (35%). Concordance between any two measures was poor (r

conclusionIn resource-poor community settings, most measures assessed in this study should not be used alone as they overestimated adherence, underestimated program effect, and had poor validity. A combination of UPC and several other measures may provide more insight into clinical trials and programmatic management.

Indexed as

Medication AdherenceAdultAntipsychotic AgentsChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedModels, BiologicalRural PopulationSchizophreniaSensitivity and SpecificityAntipsychotic Agents“686 program”Antipsychotic medication adherenceConcordance of adherence measuresMedication adherencePill-count

Identifiers

PMID29807806
PMCPMC6252110

What OpenQuestion holds

Textmetadata
LicenceTDM
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.