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Patient and healthcare delays in critical and non-critical pulmonary tuberculosis incidence areas in Portugal: are there differences?

Title
Patient and healthcare delays in critical and non-critical pulmonary tuberculosis incidence areas in Portugal: are there differences?
Type
Article in International Scientific Journal
Year
2021
Authors
Santos, JA
(Author)
Other
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Soares, P
(Author)
Other
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Leite, A
(Author)
Other
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Nunes, C
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Title: Public HealthImported from Authenticus Search for Journal Publications
Vol. 201
Pages: 41-47
ISSN: 0033-3506
Publisher: Elsevier
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00V-NXF
Resumo (PT):
Abstract (EN): Objectives: To characterize patient, healthcare, and total delay in diagnosing pulmonary tuberculosis (PTB) in critical (higher PTB incidence) and non-critical (lower PTB incidence) areas and their determinants considering clinical and sociodemographic factors. Study design: Retrospective cohort study. Methods: Data was retrieved from the Portuguese National Tuberculosis Surveillance System (SVIG-TB). Were included in the study all active PTB patients (n = 11,762) notified between 2008 and 2017. Spatial analysis was used to define critical and non-critical areas. Kaplan-Meier estimator, logrank test, and Cox regression were conducted, stratified by area. Results: PTB cases in critical areas (n 1/4 6594, 56.1%) presented longer patient median delay (41 vs 31days), shorter healthcare median delay (7 vs 10 days), and longer total median delay (63 vs 61days) t.han non-critical areas. Patient and total delay increased in both areas over time, while healthcare delay only increased in non-critical areas. Icn both areas, being from a high TB incidence country and alcohol abuse were associated with longer patient delays. Being female, older age, and oncologic diseases were associated with longer healthcare delays. Respiratory diseases were only associated with a longer healthcare delay in non-critical areas. Being female, older, and from a high TB incidence country were associated with a longer total delay in both areas. Conclusions: Patient delay was significantly longer in critical areas, and healthcare delay was significantly longer in non-critical areas. Several factors associated with longer delays have been identified, most of which are shared by critical and non-critical areas. Differences in patient and healthcare delay, for example, by sex, age, or country of birth, highlight the need for targeted public health interventions to help reduce these differences.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 7
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