Evidence map›Paper›PMID 38371243›Full record

ArticleFrontiers in public health2024

Assessing heterogeneity of patient and health system delay among TB in a population with internal migrants in China.

Ruoyao Sun, Zheyuan Wu, Hongyin Zhang, Jinrong Huang, Yueting Liu, Meiru Chen, Yixiao Lv, Fei Zhao, Yangyi Zhang, Minjuan Li and 9 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  3. Review
  4. Observational
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 4 countries.

Ruoyao Sun *School of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Zheyuan Wu *Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Hongyin Zhang *School of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Jinrong HuangSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Yueting LiuSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Meiru ChenSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Yixiao LvSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Fei ZhaoDepartment of Pharmacy, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), Beijing, China.
Yangyi ZhangDivision of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Minjuan LiSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Jiaqi YanSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Hongbing JiangSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Yiqiang ZhanSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Jimin XuSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Yanzi XuNanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong Province, China.
Jianhui YuanNanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong Province, China.
Yang ZhaoSchool of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Xin Shen *Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Chongguang Yang *School of Public Health (Shenzhen), Shenzhen Campus, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Sun Yat-sen University · CNShanghai Institute of Hematology · CNShenzhen Nanshan Center for Chronic Disease Control · CNBeijing Hospital · CNShanghai Municipal Center For Disease Control Prevention · CN

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Backgrounds: The diagnostic delay of tuberculosis (TB) contributes to further transmission and impedes the implementation of the End TB Strategy. Therefore, we aimed to describe the characteristics of patient delay, health system delay, and total delay among TB patients in Shanghai, identify areas at high risk for delay, and explore the potential factors of long delay at individual and spatial levels. Method: The study included TB patients among migrants and residents in Shanghai between January 2010 and December 2018. Patient and health system delays exceeding 14 days and total delays exceeding 28 days were defined as long delays. Time trends of long delays were evaluated by Joinpoint regression. Multivariable logistic regression analysis was employed to analyze influencing factors of long delays. Spatial analysis of delays was conducted using ArcGIS, and the hierarchical Bayesian spatial model was utilized to explore associated spatial factors. Results: Overall, 61,050 TB patients were notified during the study period. Median patient, health system, and total delays were 12 days (IQR: 3-26), 9 days (IQR: 4-18), and 27 days (IQR: 15-43), respectively. Migrants, females, older adults, symptomatic visits to TB-designated facilities, and pathogen-positive were associated with longer patient delays, while pathogen-negative, active case findings and symptomatic visits to non-TB-designated facilities were associated with long health system delays (LHD). Spatial analysis revealed Chongming Island was a hotspot for patient delay, while western areas of Shanghai, with a high proportion of internal migrants and industrial parks, were at high risk for LHD. The application of rapid molecular diagnostic methods was associated with reduced health system delays. Conclusion: Despite a relatively shorter diagnostic delay of TB than in the other regions in China, there was vital social-demographic and spatial heterogeneity in the occurrence of long delays in Shanghai. While the active case finding and rapid molecular diagnosis reduced the delay, novel targeted interventions are still required to address the challenges of TB diagnosis among both migrants and residents in this urban setting.

Indexed as

Transients and MigrantsTuberculosisAgedBayes TheoremChinaDelayed DiagnosisFemaleHumansBayesian spatial analysishealth system delaypatient delayTB diagnosis delaytuberculosis

Identifiers

PMID38371243
PMCPMC10869454
OpenAlexW4391482251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.