Evidence map›Paper›PMID 37685361›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Experience of "One Stop TB Diagnostic Solution" Model in Engaging a Private Laboratory for End-to-End Diagnostic Services in the National TB Elimination Program in Hisar, India.

Rajesh Raju, Banuru Muralidhara Prasad, Umesh Alavadi, Sanjeev Saini, Mukesh Sabharwal, Akshay Duhan, Sridhar Anand, Manohar Lal, Harpreet Kaur, Neerja Arora and 5 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Rajesh RajuDirectorate of Health Services, Government of Haryana, Swasthya Bhavan, Sector 6, Panchkula 134109, India.
Banuru Muralidhara PrasadInfectious Disease Detection and Surveillance (IDDS), New Delhi 110058, India.
Umesh AlavadiUnited States Agency for International Development, New Delhi 110021, India.
Sanjeev SainiInfectious Disease Detection and Surveillance (IDDS), New Delhi 110058, India.
Mukesh SabharwalDirectorate of Health Services, Government of Haryana, Swasthya Bhavan, Sector 6, Panchkula 134109, India.
Akshay DuhanDirectorate of Health Services, Government of Haryana, Swasthya Bhavan, Sector 6, Panchkula 134109, India.
Sridhar AnandTB Support Network, Office of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi 110021, India.
Manohar LalInfectious Disease Detection and Surveillance (IDDS), New Delhi 110058, India.
Harpreet KaurInfectious Disease Detection and Surveillance (IDDS), New Delhi 110058, India.
Neerja AroraiDEFEAT Project, IQVIA, New Delhi 110021, India.
Jyoti JajuiDEFEAT Project, The International Union against Tuberculosis and Lung Disease (The Union), New Delhi 110016, India.
Moe MooreInfectious Disease Detection and Surveillance (IDDS), New Delhi 110058, India.
Ranjani RamachandranOffice of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi 110021, India.
Nishant KumarCentral TB Division, Ministry of Health and Family Welfare Government of India, New Delhi 110001, India.
Rajendra P JoshiCentral TB Division, Ministry of Health and Family Welfare Government of India, New Delhi 110001, India.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The complete diagnostic evaluation of tuberculosis based on its drug-resistance profile is critical for appropriate treatment decisions. The TB diagnostic landscape in India has been transformed with the scaling-up of WHO-recommended diagnostics, but challenges remain with specimen transportation, completing diagnostic assessment, turnaround time (TAT), and maintaining laboratories. Private laboratories have demonstrated efficiencies for specimen collection, transportation, and the timely testing and issue of results. A one-stop TB diagnostic model was designed to assess the feasibility of providing end-to-end diagnostic services in the Hisar district of Haryana state, India. A NTEP-certified private laboratory was engaged to provide the services, complementing the existing public sector diagnostic services. A total of 10,164 specimens were collected between May 2022 and January 2023 and these were followed for the complete diagnostic assessment of Drug-Susceptible TB (DS-TB) and Drug-Resistant TB (DR-TB) and the time taken for issuing results. A total of 2152 (21%) patients were detected with TB, 1996 (93%) Rifampicin-Sensitive and 134 (6%) with Rifampicin-Resistant TB. Nearly 99% of the patients completed the evaluation of DS-TB and DR-TB within the recommended TAT. The One-Stop TB/DR-TB Diagnostic Solution model has demonstrated that diagnostic efficiencies could be enhanced through the strategic purchase of private laboratory services.

Indexed as

diagnostic algorithmdrug-resistant tuberculosisone-stop modelprivate laboratorytuberculosisturnaround time

Identifiers

PMID37685361
PMCPMC10486804

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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.