Evidence map›Paper›PMID 39982952›Full record

ArticlePloS one2025

Enhancing programmatic scale-up: Applying the consolidated framework for implementation research to evaluate decentralized drug-resistant tuberculosis services in Southern Nigeria.

Ngozi Murphy-Okpala, Chinwe Eze, Edmund Ndudi Ossai, Chibuike Innocent Agu, Ifeyinwa Ezenwosu, Charles Nwafor, Ngozi Ekeke, Anthony Meka, Sode Matiku, Beatrice Kirubi and 7 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Ngozi Murphy-OkpalaPrograms Department, RedAid Nigeria, Enugu, Nigeria.
Chinwe EzePrograms Department, RedAid Nigeria, Enugu, Nigeria.ORCID https://orcid.org/0000-0002-2704-6952
Edmund Ndudi OssaiDepartment of Community Medicine, Ebonyi State University, Abakaliki, Nigeria.
Chibuike Innocent AguDepartment of Community Medicine, Alex-Ekwueme Federal University Ndufu-Alike, Abakaliki, Ebonyi State, Nigeria.ORCID https://orcid.org/0000-0002-9248-7877
Ifeyinwa EzenwosuDepartment of Community Medicine, University of Nigeria Teaching Hospital, Nsukka, Nigeria.
Charles NwaforPrograms Department, RedAid Nigeria, Enugu, Nigeria.
Ngozi EkekePrograms Department, RedAid Nigeria, Enugu, Nigeria.
Anthony MekaPrograms Department, RedAid Nigeria, Enugu, Nigeria.
Sode MatikuNew Dimension Consulting, Dar es Salaam, Tanzania.
Beatrice KirubiSTOP TB Partnership, Geneva, Switzerland.
Okechukwu EzeakilePrograms Department, RedAid Nigeria, Enugu, Nigeria.
Martin NjokuPrograms Department, RedAid Nigeria, Enugu, Nigeria.
Francis S IyamaPrograms Department, RedAid Nigeria, Enugu, Nigeria.ORCID https://orcid.org/0009-0007-7600-4533
Jacob CreswellSTOP TB Partnership, Geneva, Switzerland.
Victor BabawaleNational TB, Leprosy and Buruli ulcer Control Program, Abuja, Nigeria.
Chukwuma AnyaikeNational TB, Leprosy and Buruli ulcer Control Program, Abuja, Nigeria.
Joseph ChukwuPrograms Department, RedAid Nigeria, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecentralization of Drug-Resistant Tuberculosis (DR-TB) services using multilevel interventions was piloted in Akwa-Ibom and Oyo States of Nigeria, which had high rates of pre-treatment loss-to-follow-up in 2021. The varying outcomes of the intervention strategies necessitated understanding what worked well and why. This study aimed to identify enablers and barriers shaping the implementation of decentralized DR-TB services in these states and provide actionable strategies for programmatic scale-up.

methodsSemi-structured key informant interviews were conducted with 40 stakeholders involved in the pilot implementation of decentralized DR-TB services in southern Nigeria. Interviews were audio-recorded, transcribed verbatim, and template analysis done using NVivo statistical software, adapting the Consolidated Framework for Implementation Research (CFIR) constructs and sub-constructs as priori codes for data synthesis and analysis.

resultsThe study identified enablers and barriers across the five CFIR domains. Intervention characteristics facilitators stemmed from its relative advantage and design enabling faster notification of diagnosed DR-TB patients, enhanced patient tracking, ease of conducting baseline investigations, bringing treatment closer by reducing transportation challenges, unique role of the Volunteer Liaison Officer, utility of WhatsApp platform, private sector engagement, and DR-TB survivors as peer counsellors. Critical incidents such as the removal of fuel subsidies and economic difficulties; and inner setting factors like existing infrastructure and health workforce, culture, available resources and tension for change from high pre-treatment loss to follow-up, and intervention's alignment with workflow; all facilitated implementation. Barriers identified included: challenges with verbal autopsy, low adoption of Unstructured Supplementary Service Data (USSD) innovation, pricing of baseline tests, poor power supply, inadequate laboratory facilities and insufficient DR-TB expertise in rural areas, and fear of TB infection among health workers.

conclusionThe findings demonstrate the ease of implementing decentralized DR-TB services and their advantages over a centralized approach. Key enablers centered on innovation and individual characteristics, and inner setting dynamics within the TB program. There were more facilitators than barriers, with most barriers being modifiable despite some outer setting factors like fiscal policy and geographic access. These insights can guide nationwide adoption and scale-up of decentralized DR-TB services in Nigeria and similar settings in low-and middle-income countries.

trial registrationPan African Clinical Trial Registry PACTR202309676675265.

Indexed as

Tuberculosis, Multidrug-ResistantFemaleHumansNigeriaPolitics

Identifiers

PMID39982952
PMCPMC11844838

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.