Evidence map›Paper›PMID 32565426›Full record

ArticleBMJ global health2020

Patient pathways of tuberculosis care-seeking and treatment: an individual-level analysis of National Health Insurance data in Taiwan.

Chu-Chang Ku, Chien-Chou Chen, Simon Dixon, Hsien Ho Lin, Peter J Dodd

Abstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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  16. Patient-Pathway Analysis of Tuberculosis Services in Cameroon.Tropical medicine and infectious disease · 2021
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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

5 authors.

Chu-Chang KuSchool of Health and Related Research, The University of Sheffield, Sheffield, UK jeffku77@gmail.com.ORCID 0000-0002-4719-117X
Chien-Chou ChenCenter for Applied Artificial Intelligence Research, Soochow University, Taipei, Taiwan.
Simon DixonSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.
Hsien Ho LinInstitute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
Peter J DoddSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID 0000-0001-5825-9347

Funding

Medical Research Council MR/P022081/1
6 · The paper itself

Abstract

introductionPatients with tuberculosis (TB) often experience difficulties in accessing diagnosis and treatment. Patient pathway analysis identifies mismatches between TB patient care-seeking patterns and service coverage, but to date, studies have only employed cross-sectional aggregate data.

methodsWe developed an algorithmic approach to analyse and interpret patient-level routine data on healthcare use and to construct patients' pathways from initial care-seeking to treatment outcome. We applied this to patients with TB in a simple random sample of one million patients' records in the Taiwan National Health Insurance database. We analysed heterogeneity in pathway patterns, delays, service coverage and patient flows between different health system levels.

resultsWe constructed 7255 pathways for 6258 patients. Patients most commonly initially sought care at the primary clinic level, where the capacity for diagnosing TB patients was 12%, before eventually initiating treatment at higher levels. Patient pathways are extremely heterogeneous prior to diagnosis, with the 10% most complex pathways accounting for 48% of all clinical encounters, and 55% of those pathways yet to initiate treatment after a year. Extended consideration of alternative diagnoses was more common for patients aged 65 years or older and for patients with chronic lung disease.

conclusionOur study demonstrates that longitudinal analysis of routine individual-level healthcare data can be used to generate a detailed picture of TB care-seeking pathways. This allows an understanding of several temporal aspects of care pathways, including lead times to care and the variability in patient pathways.

Indexed as

TuberculosisCross-Sectional StudiesHumansNational Health ProgramsPatient Acceptance of Health CareTaiwancohort studyhealth economicshealth systems evaluationpublic healthtuberculosis

Identifiers

PMID32565426
PMCPMC7307534

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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.