Evidence map›Paper›PMID 36935730›Full record

ArticleFrontiers in public health2023

Digitizing tuberculosis treatment monitoring in Wuhan city, China, 2020-2021: Impact on medication adherence.

Mengxian Zhang, Guiyang Wang, Hina Najmi, Aashifa Yaqoob, Tao Li, Yinyin Xia, Jianjun Ye, Shuangyi Hou, Ye Xiao, Liping Zhou and 1 more

Erratum issuedOpen access · goldFull text read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Mengxian ZhangInstitute for Tuberculosis Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Guiyang WangWuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, Hubei, China.
Hina NajmiHealth Services Academy, Islamabad, Pakistan.
Aashifa YaqoobCommon Management Unit (TB, HIV/AIDS & Malaria), Islamabad, Pakistan.
Tao LiNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yinyin XiaNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianjun YeInstitute for Tuberculosis Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Shuangyi HouInstitute for Tuberculosis Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Ye XiaoBeijing SINOVO Power Technology LTD., Beijing, China.
Liping ZhouInstitute for Tuberculosis Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Yuehua LiWuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, Hubei, China.
Hubei Provincial Center for Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNWuhan Pulmonary Hospital · CNHealth Services Academy · PKUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital technologies can improve adherence to tuberculosis (TB) treatment. We studied the impact of digitizing TB treatment monitoring on adherence among TB patients in Wuhan, China, during 2020-2021. Methods: We compared an electronic system introduced to monitor TB medication adherence (e-Patient Service System; e-PSS) with the p paper-based standard of care (TB Control Information System; TCIS) in terms of prescribed TB treatment doses taken by patients and patient outcome after six months of follow up. We designed a cross sectional study using retrospective data for all drug susceptible pulmonary TB patients recorded on both systems. The main indicators were: compliant first follow up visit (within 3 days of start of treatment); medication adherence (80% or more of monthly doses taken); and end of treatment success ratio. Results: A total of 1,576 TB patients were recorded in TCIS in July September, 2020 and 1,145 TB cases were included in e-PSS in January March, 2021. The distribution of patient demographic and clinical features was similar between the two groups. A larger proportion from the e-PSS group visited the community doctor in the first three days compared with the TCIS group (48.91 versus 29. 76 % respectively). Medication adherence was also higher in the e-PSS group during the 6 months of treatment than in the TCIS group (84. 28 versus 80.3 3 % respectively). Treatment success was 92.52% in the e-PSS group and 92.07% in the TCIS group. Multivariate logistic regress ion analysis demonstrated that adjusted odds ratios for compliant first follow up visit, medication adherence and favorable treatment outcome in the e-PSS versus TCIS groups were 2.94 (95% 2.47 3.50), 1.33 (95% 1.08 1.63), and 1. 12 (95% CL: 0.79 1.57) respectively. Discussion: This study revealed improvements in TB care following an intervention to monitor treatment digitally in patients in Wuhan, China.

Indexed as

Antitubercular AgentsTuberculosis, PulmonaryChinaCross-Sectional StudiesHumansMedication AdherenceRetrospective StudiesAntitubercular AgentsChinadigital adherence technologymedication adherence and treatment outcomeoperational researchtuberculosis

Identifiers

PMID36935730
PMCPMC10014893
OpenAlexW4322743997

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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Read underepoch 390

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.