Evidence map›Paper›PMID 34327397›Full record

ArticleThe Lancet regional health. Western Pacific2020

Patient pathways and delays to diagnosis and treatment of tuberculosis in an urban setting in Indonesia.

Bony Wiem Lestari, Susan McAllister, Panji Fortuna Hadisoemarto, Nur Afifah, Ira Dewi Jani, Megan Murray, Reinout van Crevel, Philip C Hill, Bachti Alisjahbana

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07293455 (Evaluation and Demonstration of New Tuberculosis Diagnostics for Indonesia; Work Package 3), which is not on this map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
0.9field-weighted citation impact, top 14% 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.

NCT07293455 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation and Demonstration of New Tuberculosis Diagnostics for Indonesia; Work Package 3: Cluster Randomised Controlled Trial of A Diagnostic Package to Increase the Number of Tuberculosis Cases Notified

TypeinterventionalSponsorUniversitas PadjadjaranRan2026 to 2027Enrolled40,000ConditionsTuberculosisArmsnPOC Testing Intervention Package
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 73 citations in OpenAlex.

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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

9 authors at 5 institutions in 5 countries.

Bony Wiem LestariDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Susan McAllisterCenter for International Health, University of Otago, Dunedin, New Zealand.
Panji Fortuna HadisoemartoDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Nur AfifahTuberculosis Working Group, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Ira Dewi JaniCommunicable Disease Control Unit, City Health Office, Bandung, Indonesia.
Megan MurrayDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, United States.
Reinout van CrevelDepartment of Internal Medicine, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
Philip C HillCenter for International Health, University of Otago, Dunedin, New Zealand.
Bachti AlisjahbanaTuberculosis Working Group, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Padjadjaran University · IDRadboud University Nijmegen · NLUniversity of Otago · NZDr. Hasan Sadikin General Hospital · IDHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding patient pathways can help align patient preferences and tuberculosis (TB) related services. We investigated patient pathways, and diagnostic and treatment delays among TB patients in Indonesia, which has one of the highest proportions of non-notified TB cases globally.

methodsWe conducted a study of TB patients recruited from Community Health Centers (CHCs), public and private hospitals, and private practitioners from 2017 to 2019 in Bandung City, regarding general characteristics and symptoms, and health-seeking, diagnostic and treatment pathways.

findingsWe recruited 414 TB patients: 138 (33%) in CHCs, 210 (51%) in hospitals, 66 (20%) in private practitioners. Most patients (74·6%) first sought care at an informal or private provider and experienced a complex pathway visiting both public and private providers to obtain a diagnosis. The median number of health provider visits pre-diagnosis was 6 (IQR 4-8). From start of symptoms, it took a median 30 days (IQR 14-61) to present to a health provider, 62 days (IQR 35-113) to reach a TB diagnosis, and 65 days (IQR 37-119) to start treatment. Patient delay was longer among male, lowly-educated and uninsured individuals. There were longer diagnostic delays among uninsured individuals, those who initially visited private providers, and those with multiple visits prior to diagnosis. Longer treatment delays were found in those with multiple pre-diagnosis visits or diagnosed by private practitioners.

interpretationPatient pathways in Indonesia are complex, involving the public and private sector, with multiple visits and long delays, especially to diagnosis. A widely available accurate diagnostic test for TB could have a dramatic effect on reducing delays, onward transmission and mortality.

fundingThis project was funded by the Partnership for Enhanced Engagement in Research (PEER) grant under Prime Agreement Number AID-OAA-A-11-00,012 by National Academy of Sciences (NAS); the United States Agency for International Development (USAID); University of Otago, New Zealand, and the Indonesian Endowment Fund for Education (LPDP).

Indexed as

Diagnostic delayPatient delayPrivate practitionersTBTreatment delay

Identifiers

PMID34327397
PMCPMC8315599
OpenAlexW3108612683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.