Skip to main content

Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study.

Publication ,  Journal Article
Jia, Y; Jiang, W; Xiao, X; Lou, Z; Tang, S; Chen, J; Long, Q
Published in: BMJ open
October 2024

This study aimed to examine patient delay, diagnosis delay and treatment performance among patients with tuberculosis (TB) in Shanghai, China in 2018-2020 focusing on disparities between migrant and local patients with TB.Mixed-method study.Quantitative data were collected from the TB information management system in Shanghai; 17 533 bacteriologically confirmed and clinically diagnosed patients with pulmonary TB registered in 2018-2020 were included. Qualitative interviews were conducted with TB administrators (n=3) and community healthcare providers (two groups, n=10 in total) from Shanghai.Patient delay, diagnosis delay and treatment completion were examined by resident type using descriptive analysis and logistic regressions. Qualitative interviews were conducted to understand factors associated with the disparities.From 2018 to 2020, migrant patients with TB accounted for 44.40% of total cases. There was no significant difference in patient delay between migrant and local patients (18.47 days on average). 22.12% of migrants and 16.52% of locals experienced diagnosis delays exceeding 14 days, respectively. After adjusting for all variables, migrant patients (OR 1.30, 95% CI 1.18 to 1.44) and initial care seeking at general hospitals (OR 3.76, 95% CI 3.45 to 4.09) were associated with a higher probability of diagnosis delay. 93.9% of migrant patients and 89.4% of the local patients had a successful TB treatment without statistically significant difference after adjusting for all variables. Qualitative interviews revealed a standard approach to managing patients with TB in Shanghai no matter their resident type. Young migrant patients who were able to maintain their jobs in Shanghai often had better treatment adherence. Despite patients' COVID-19 fear and limited care access in 2020, TB treatment minimally affected for both due to community-based case management.Migrant patients were more likely to experience diagnosis delay. It should improve awareness and knowledge of TB among healthcare professionals at general hospitals to mitigate the risk of diagnosis delay.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

BMJ open

DOI

EISSN

2044-6055

ISSN

2044-6055

Publication Date

October 2024

Volume

14

Issue

10

Start / End Page

e082430

Related Subject Headings

  • Young Adult
  • Tuberculosis, Pulmonary
  • Treatment Outcome
  • Transients and Migrants
  • Time-to-Treatment
  • Qualitative Research
  • Middle Aged
  • Male
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jia, Y., Jiang, W., Xiao, X., Lou, Z., Tang, S., Chen, J., & Long, Q. (2024). Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study. BMJ Open, 14(10), e082430. https://doi.org/10.1136/bmjopen-2023-082430
Jia, Yufei, Weixi Jiang, Xiao Xiao, Zhexun Lou, Shenglan Tang, Jing Chen, and Qian Long. “Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study.BMJ Open 14, no. 10 (October 2024): e082430. https://doi.org/10.1136/bmjopen-2023-082430.
Jia, Yufei, et al. “Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study.BMJ Open, vol. 14, no. 10, Oct. 2024, p. e082430. Epmc, doi:10.1136/bmjopen-2023-082430.

Published In

BMJ open

DOI

EISSN

2044-6055

ISSN

2044-6055

Publication Date

October 2024

Volume

14

Issue

10

Start / End Page

e082430

Related Subject Headings

  • Young Adult
  • Tuberculosis, Pulmonary
  • Treatment Outcome
  • Transients and Migrants
  • Time-to-Treatment
  • Qualitative Research
  • Middle Aged
  • Male
  • Humans
  • Female