Evaluation of Mobile Application for the Management of Tuberculosis Patients in Tianjin During 2019-2020.

Abstract

PURPOSE:

Poor tuberculosis (TB) medication adherence increases the risk of treatment failure and development of drug-resistant TB, while universal implementation of directly observed therapy (DOT) is not feasible in China. EHealth technologies were reported to be promising patient-centered tools for improving adherence. However, only pilot studies have assessed patients' experiences, and the results were discrepant.

PATIENTS AND METHODS:

This prospective-cohort study was conducted among TB patients at the outpatient department from 3 March 2019 to 30 May 2020 in Tianjin, China. Data were downloaded from the Tuberculosis Doctor App and TB Information Management System (TBIMS) and merged them by the TBIMS notification number. Logistic regression analysis was used to analyze the factors associated with regular drug-intake. Odds ratios and 95% confidence intervals were estimated with and without adjustment for age, gender, ethnicity and occupation.

RESULTS:

Revisit examination was more regularly and frequently in APP group than non-APP group. In APP group, 33.28% patients were regular drug-intake. The whole drug-intake rate was 84.84%. Tuberculosis pleurisy (aOR: 0.42, 95CI%=0.26-0.69) and retreated patients (aOR: 0.40, 95CI% =0.27-0.59) were more likely to have poor medication compliance. Local residents tend to have better medication compliance (aOR: 1.80, 95CI% =1.16-2.79).

CONCLUSION:

APP could improve TB patients' revisit examination adherence. Medication adherence was poor in tuberculosis pleuritis and retreated patients, while local residents tend to have better medication adherence. To make full use of the mobile application in TB patient management, more incentive measures should be adopted for patients and doctors, respectively.

• Authors: Xiaorong Li, Xuewen Pang, Fan Zhang
• Journal: Patient preference and adherence (Patient Prefer Adherence) Vol. 16 Pg. 321-329 ( 2022) ISSN: 1177-889X [Print] New Zealand
• PMID: 35173417 (Publication Type: Journal Article)
• Copyright: © 2022 Li et al.