Evidence map›Paper›PMID 35271642›Full record

ArticlePloS one2022

Cost and affordability of scaling up tuberculosis diagnosis using Xpert MTB/RIF testing in West Java, Indonesia.

Mardiati Nadjib, Retno Kusuma Dewi, Ery Setiawan, Tri Yunis Miko, Septiara Putri, Panji Fortuna Hadisoemarto, Euis Ratna Sari, Pujiyanto, Rani Martina, Lusi Nursilawati Syamsi

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cost-effectiveness of Low-complexity Screening Tests in Community-based Case-finding for Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Cost to perform door-to-door universal sputum screening for TB in a high-burden community.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  11. Article
  12. Article
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

10 authors.

Mardiati NadjibDepartment of Health Policy and Administration, Faculty of Public Health Universitas Indonesia, Depok, Indonesia.ORCID 0000-0001-8676-7525
Retno Kusuma DewiNational TB Program, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.
Ery SetiawanCenter for Health Economics and Policy Studies, Universitas Indonesia, Depok, Indonesia.
Tri Yunis MikoDepartment of Epidemiology, Faculty of Public Health Universitas Indonesia, Depok, Indonesia.
Septiara PutriDepartment of Health Policy and Administration, Faculty of Public Health Universitas Indonesia, Depok, Indonesia.
Panji Fortuna HadisoemartoDepartment of Public Health/Tuberculosis Working Group, Faculty of Medicine Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0003-1372-9661
Euis Ratna SariCenter for Health Economics and Policy Studies, Universitas Indonesia, Depok, Indonesia.ORCID 0000-0002-1933-7960
PujiyantoDepartment of Health Policy and Administration, Faculty of Public Health Universitas Indonesia, Depok, Indonesia.
Rani MartinaDistrict Health Office, Depok Municipality, West Java, Indonesia.
Lusi Nursilawati SyamsiDepartment of Internal Medicine, Sentra Medika Hospital, Depok, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Indonesia, a significant number of tuberculosis (TB) cases may be missed, due to the low sensitivity and specificity of the currently used diagnostic algorithm. In this regard, the rapid molecular test using Xpert MTB/RIF, which has recently been introduced in Indonesia, can improve case detection. Thus, this study determined the cost and affordability of incorporating Xpert MTB/RIF testing for TB diagnosis. For this purpose, we estimated the costs (from the health system and societal perspectives) of reaching the TB detection target in Depok municipality, and applied the findings to the West Java province of Indonesia. The resources available for the health and TB program were also analyzed to support the decision to scale up the TB diagnosis using Xpert MTB/RIF testing. According to the results, the unit cost for TB diagnosis per person was USD 27.22 and USD 70.16 from the health system and societal perspectives, respectively. To reach the target of 109,843 TB cases for the 2020-2024 time period, Depok municipality would need USD 2,989,927 and USD 2,549,455 from the health system viewpoint, assuming the machine's lifespan of five and 10 years, respectively. Extrapolating these results to the West Java province, USD 56,353,833 would be necessary to test 2,076,413 cases from 2019 to 2024. However, in order to accelerate the case detection target up to 2024, West Java requires additional funds. The implication of the findings is that the central government must consider local capacity to accelerate TB case detection and ensure that the installation of Xpert MTB/RIF machines is included in the overall costs.

Indexed as

Mycobacterium tuberculosisTuberculosisCosts and Cost AnalysisHumansIndonesiaSensitivity and SpecificitySputum

Identifiers

PMID35271642
PMCPMC8912192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.