Evidence map›Paper›PMID 38128936›Full record

ArticleBMJ open2023

Cost of inaction: a framework to estimate the economic cost of missing a patient with tuberculosis in the Indian context.

Meredith B Brooks, Viswanath Pingali, Tom Nicholson, Salmaan Keshavjee

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Meredith B BrooksDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA mbbrooks@bu.edu.ORCID 0000-0003-1022-2515
Viswanath PingaliIndian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India.
Tom NicholsonCenter for International Development, Duke University Sanford School of Public Policy, Durham, North Carolina, USA.
Salmaan KeshavjeeDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the economic impact of failure to find and treat tuberculosis disease and prevent tuberculosis infection from progressing to active disease.

designEstimating the economic cost of not finding and treating a patient suffering from tuberculosis.

settingEstimation methodology is developed in the Indian context, as informed by local costs and reported tuberculosis epidemiology.

participantsNo individual participants were included. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure is the total cost of patients with drug-susceptible and drug-resistant tuberculosis who are and are not found and treated by tuberculosis programmes, including costs for medications, lost productivity, healthcare services and furthered transmission. We calculate the economic burdens by varying the number of individuals a person sick with tuberculosis infects (10 or 15 people) and the risk of progression to tuberculosis disease if infected (5 or 8%). The secondary outcome measure is the amount saved by finding a patient early or who would not have otherwise been found. All costs are presented in US dollars (exchange rate: 72 Indian rupees/1 US$).

resultsBy finding and treating a patient early before furthered transmission occurs-or stopping progression of tuberculosis infection to tuberculosis disease with preventive therapy-the Indian health system can save US$5502 to US$15 825 and US$5846 to US$25 575, for

conclusionsThese estimates provide crude, lower bounds for the potential costs of not appropriately diagnosing and treating a single patient with active tuberculosis in a timely manner, or preventing a patient with tuberculosis infection from progressing to active disease. The actual financial burden on society is far higher than estimated using this simple, short-term cost-effective analyses. Our results highlight the limitations of tuberculosis costing models to date, and demonstrate the importance of accounting for airborne transmission of tuberculosis.

Indexed as

Latent TuberculosisTuberculosisTuberculosis, Multidrug-ResistantCost-Benefit AnalysisHumansHealth economicsHEALTH ECONOMICSINFECTIOUS DISEASESPublic healthTuberculosis

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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.