Evidence map›Paper›PMID 37579406›Full record

ArticleInternational journal of health policy and management2023

Challenges and Strategic Solutions to Guarantee Last Mile Reach for an Indian TB Patient's Nikshay Poshan Yojana; A Conditional Cash Transfer Scheme Comment on "Does Direct Benefit Transfer Improve Outcomes Among People With Tuberculosis? - A Mixed-Methods Study on the Need for a Review of the Cash Transfer Policy in India".

Harsh Shah

Open access · diamondAbstract readComment
In one paragraph

Article in International journal of health policy and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Assessing the Role of Pradhan Mantri TB Mukt Bharat Abhiyaan in India's Fight against TB: A National-level Data-based Research Investigation.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Harsh ShahDepartment of Public Health Science, Indian Institute of Public Health - Gandhinagar, Gujarat, India.ORCID 0000-0003-3349-7562
Indian Institute of Public Health Gandhinagar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India has put efforts into the prevention and control of tuberculosis (TB) for more than 50 years. Nikshay Poshan Yojna (NPY) is one of the schemes of conditional cash transfers (CCTs) by the Government of India. The CCT schemes mostly address the demand side constraints. Governments could use this in developing nations as a tool to divert financial resources toward societal development. In India, NPY is more directed toward providing monetary support for a nutritional diet and reducing the catastrophic expenditure of TB patients. Several studies highlighted challenges in implementing cash transfer schemes and provided different operational models. A country like India should address the challenges with defined strategies to ensure its last-mile reach. A present commentary discussing challenges and possible solutions that policy-makers can adapt and set up a support structure to ensure that supportive actions are implemented in response to patient and system side issues.

Indexed as

TuberculosisGovernmentHealth ExpendituresHumansIndiaPolicyConditional Cash TransferHealth System StrengtheningIndiaNikshay Poshan YojnaTB Control ProgramTuberculosis

Identifiers

PMID37579406
PMCPMC10461863
OpenAlexW4366179107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.