Evidence map›Paper›PMID 31686790›Full record

ArticlePatient preference and adherence2019

Drug Non-Adherence And Reasons Among Multidrug-Resistant Tuberculosis Patients In Guizhou, China: A Cross-Sectional Study.

Yun Wang, Huijuan Chen, Zhongfeng Huang, Edward B McNeil, Xiaolong Lu, Virasakdi Chongsuvivatwong

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Treatment Adherence With an Oral 9-Month Regimen for Rifampicin-Resistant Tuberculosis in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Observational
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  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in microbiology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Costs Associated with Adverse Drug Reactions Among HIV/TB Patients in Thailand.ClinicoEconomics and outcomes research : CEOR · 2022
    Article
  18. Article
  19. Article
  20. Review
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

6 authors at 4 institutions in 2 countries.

Yun WangSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou, People's Republic of China.
Huijuan ChenDepartment of Tuberculosis Prevention and Control, Guizhou Center for Disease Prevention and Control, Guiyang, Guizhou, People's Republic of China.
Zhongfeng HuangDepartment of Tuberculosis, Guiyang Public Health Clinical Center, Guiyang, Guizhou, People's Republic of China.
Edward B McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9492-1040
Xiaolong LuSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou, People's Republic of China.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9850-4463
Prince of Songkla University · THGuiyang Medical University · CNGuizhou Center for Disease Control and Prevention · CNShanghai Public Health Clinical Center · CN

Funding

TB/MDR-TB Research training and Capacity Strengthening for LMIC in Southeast Asia Phase II: Promotion of Diversity, Equity and Inclusion (DEI)D43TW009522 · FIC · PRINCE OF SONGKLA UNIVERSITY · PI Virasakdi Chongsuvivatwong · 2015 to 2026
$3.0M
FIC NIH HHS D43 TW009522
6 · The paper itself

Abstract

purposeTreatment interruption and incorrect dosage for measuring drug non-adherence have seldom been studied in multidrug-resistant tuberculosis (MDR-TB) treatment. This study aimed to 1) estimate the overall and drug-specific incidence of short (≤14 days) and serious (>14 days) treatment interruption among MDR-TB patients, 2) identify main reasons and predictors for serious interruption, and 3) document the level of agreement of classification for incorrect drug dosage between self-report and pill count. PATIENTS AND

methodsA cross-sectional study combining hospital-based interviews and home-based pill count was conducted from January to June 2018. Treatment interruption was determined from patient's medical records and interviews using a structured questionnaire among 202 patients treated at one designated hospital for MDR-TB treatment. Concordance of pills counted with self-reports for each drug use within one month was assessed for a subgroup of patients at their homes using kappa statistics.

resultsOf 202 patients, the incidence of short and serious treatment interruption was 37.6% and 28.7%, respectively. Adverse drug reactions (ADRs) and financial hardship were the top two reasons for serious interruption. Amikacin and cycloserine had the highest rate of specific drug interruption (18.3% and 10.2%, respectively). ADRs (OR

conclusionClose monitoring of ADRs, revision of drug regimens, and financial support for MDR-TB in this study population are needed. Self-report on drug under-use and over-use should be monitored monthly in clinical settings.

Indexed as

adherenceGuizhoumultidrug-resistant tuberculosistreatment interruption

Identifiers

PMID31686790
PMCPMC6777430
OpenAlexW2976328707

What OpenQuestion holds

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LicenceCC BY-NC
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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.