Evidence map›Paper›PMID 38827933›Full record

ReviewThe Lancet regional health. Western Pacific2024

Policy gaps in addressing market failures and intervention misalignments in tuberculosis control: prospects for improvement in China, India, and Indonesia.

Weixi Jiang, Di Dong, Esty Febriani, Olusoji Adeyi, Ahmad Fuady, Sapna Surendran, Shenglan Tang, Ronald Upenyu Mutasa

Abstract readReview
In one paragraph

Review in The Lancet regional health. Western Pacific, 2024. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Weixi JiangSchool of Public Health, Fudan University, Xuhui District, Shanghai, China.
Di DongHealth, Nutrition and Population Global Practice, World Bank, Washington, DC 20433, USA.
Esty FebrianiLecturer of Public Health Magister Heath Institute, STIKKU, West Java, Indonesia.
Olusoji AdeyiResilient Health Systems, Washington, DC, USA.
Ahmad FuadyDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Sapna SurendranHealth, Nutrition and Population Global Practice, World Bank, Washington, DC 20433, USA.
Shenglan TangDuke Global Health Institute, Duke University, Durham, NC, USA.
Ronald Upenyu MutasaHealth, Nutrition and Population Global Practice, World Bank, Washington, DC 20433, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India, Indonesia, and China are the top three countries with the highest tuberculosis (TB) burden. To achieve the end TB target, we analyzed policy gaps in addressing market failures as well as misalignments between National TB Programs (NTP) and health insurance policies in TB control in three countries. In India and Indonesia, we found insufficient incentives to engage private practitioners or to motivate them to improve service quality. In addition, ineffective supervision of practice and limited coverage of drugs or diagnostics was present in all three countries. The major policy misalignment identified in all three countries is that while treatment guidelines encourage outpatient treatment for drug-sensitive patients, the national health insurance scheme covers primarily inpatient services. We therefore advocate for better alignment of TB control programs and broader universal health coverage (UHC) programs to leverage additional resources from national health insurance programs to improve the effective coverage of TB care.

Indexed as

Market failurePolicy misalignmentsTuberculosis

Identifiers

PMID38827933
PMCPMC11143451

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.