Evidence map›Paper›PMID 32348351›Full record

Observational studyPloS one2020

Electronic medication monitor for people with tuberculosis: Implementation experience from thirty counties in China.

Ni Wang, Hemant Deepak Shewade, Pruthu Thekkur, Fei Huang, Yanli Yuan, Xiaomeng Wang, Xiaolin Wang, Miaomiao Sun, Hui Zhang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 50 citations in OpenAlex.

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  3. A randomised controlled trial to evaluate a medication monitoring system for TB treatment.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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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

9 authors at 4 institutions in 3 countries.

Ni WangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hemant Deepak ShewadeInternational Union against Tuberculosis and Lung Disease (The Union), Paris, France.ORCID 0000-0002-8242-1911
Pruthu ThekkurInternational Union against Tuberculosis and Lung Disease (The Union), Paris, France.
Fei HuangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yanli YuanJilin Research Institute of Tuberculosis Control, Changchun, China.
Xiaomeng WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiaolin WangThe Fourth People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Miaomiao SunPATH China Program, Beijing, China.
Hui ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-3989-2304
Chinese Center For Disease Control and Prevention · CNWorld Health Organization Regional Office for South-East Asia · INZhejiang Center for Disease Control and Prevention · CNCenter for Tuberculosis Control of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina piloted a digital adherence technology called electronic medication monitor (EMM) to support self-administered treatment for tuberculosis. EMM is a portable plastic box that records each time the device is opened, offering an indirect measure of treatment adherence. During the monthly patient visits to tuberculosis designated hospitals, the doctors access the data from the EMM.

objectivesAmong people with tuberculosis notified in 30 counties in China (July-December 2018) where EMM supported self-administered treatment was suggested to all those eligible (no communication impairment, ambulatory care), we assessed the i) proportion eligible for using EMM ii) uptake of EMM and factors associated and iii) treatment adherence, including the proportion shifted to DOT.

methodsThis was an observational study using secondary programme data. Single instance of ≥50% or continued instance of 20-49% monthly missed doses was the eligibility criteria to shift to DOT. We used log binomial regression to identify factors associated with not using EMM within first month.

resultsOf 2227 with EMM eligibility data, 1810 (81%) were eligible for EMM. Of 1810 people, 1314 (73%) ever used EMM anytime during treatment, among them, 134 (10%) were eligible for shift to DOT (based on EMM data), and 29 (22%) were shifted. In addition, 70 were shifted while the EMM data was missing. Of 1047 people who started using EMM within first month, we observed 6381 person-months of follow up and there were 1526(25%) instances of missing EMM data. Children (<15 years), elderly (≥65 years), semi-skilled or unemployed people, people with tuberculosis pleurisy and previous tuberculosis treatment were less likely to use EMM within first month.

conclusionThe EMM uptake was satisfactory but shift to DOT has to be ensured based on adherence data from EMM. The subsequent follow-up action when EMM data is missing has to be clarified in the guidelines.

Indexed as

Medication AdherenceAdolescentAdultAgedAntitubercular AgentsChinaDirectly Observed TherapyFemaleHumansMaleMiddle AgedSelf AdministrationTuberculosisYoung AdultAntitubercular Agents

Identifiers

PMID32348351
PMCPMC7190174
OpenAlexW3019594055

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.