Evidence map›Paper›PMID 33910944›Full record

ArticleBMJ open2021

Protocol for establishing an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) for integrating care of communicable and non-communicable diseases using tuberculosis and diabetes as a case study.

Stellah G Mpagama, Kaushik Ramaiya, Troels Lillebæk, Blandina T Mmbaga, Marion Sumari-de Boer, Nyanda Elias Ntinginya, Jan-Willem Alffenaar, Scott K Heysell, Ib C Bygbjerg, Dirk L Christensen

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. A complexity theory-informed COPC approach to evaluation of mining health programmes.African journal of primary health care & family medicine · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 at 8 institutions in 5 countries.

Stellah G MpagamaMedical, Kibong'oto Infectious Diseases Hospital, Sanya Juu, Tanzania sempagama@yahoo.com.ORCID 0000-0002-0660-6930
Kaushik RamaiyaDepartment of Internal Medicine, Shree Hindu Mandal Hospital, Dar es Salaam, Tanzania.
Troels LillebækStatens Serum Institut, Kobenhavn, Denmark.
Blandina T MmbagaKilimanjaro Clinical Research Institute (KCRI), Moshi, Tanzania.
Marion Sumari-de BoerKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Nyanda Elias NtinginyaNational Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania.
Jan-Willem AlffenaarRijksuniversiteit Groningen, Groningen, The Netherlands.ORCID 0000-0001-6703-0288
Scott K HeysellDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Ib C BygbjergGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Dirk L ChristensenGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Kilimanjaro Christian Medical Centre · TZUniversity of Copenhagen · DKAga Khan Hospital Dar es Salaam · TZMbeya University of Science and Technology · TZStatens Serum Institut · DKUniversity of Groningen · NLUniversity of Virginia · USYahoo (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMost sub-Saharan African countries endure a high burden of communicable infections but also face a rise of non-communicable diseases (NCDs). Interventions targeting particular epidemics are often executed within vertical programmes. We establish an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) model with three domains; stepwise training approach, integration of communicable and NCDs and a learning system. The model aims to shift traditional vertical programmes to an adaptive diseases management approach through integrating communicable and NCDs using the tuberculosis (TB) and diabetes mellitus (DM) dual epidemic as a case study. We aim to describe the ADEPT protocol with underpinned implementation and operational research on TB/DM. METHODS AND ANALYSIS: The model implement a collaborative TB and DM services protocol as endorsed by WHO in Tanzania. Evaluation of the process and outcomes will follow the logic framework. A mixed research design with both qualitative and quantitative approaches will be used in applied research action. Anticipated implementation research outcomes include at the health facilities level for organising TB/DM services, pathways of patients with TB/DM seeking care in different health facilities, factors in service delivery that need deimplementation and the ADEPT model implementation feasibility, acceptability and fidelity. Expected operational research outcomes include additional identified patients with dual TB/DM, the prevalence of comorbidities like hypertension in patients with TB/DM and final treatment outcomes of TB/DM including treatment-related complications. Findings will inform the future policies and practices for integrating communicable and NCDs services. ETHICS AND DISSEMINATION: Ethical approval was granted by The National Research Health Ethical Committee (Ref-No. NIMR/HQ/R.8a/Vol.IX/2988) and the implementation endorsed by the government authorities. Findings will be proactively disseminated through multiple mechanisms including peer-reviewed journals, and engagement with various stakeholders' example in conferences and social media.

Indexed as

Diabetes MellitusNoncommunicable DiseasesTuberculosisHealth FacilitiesHumansTanzaniadiabetes & endocrinologypublic healthtuberculosis

Identifiers

PMID33910944
PMCPMC8094344
OpenAlexW3159778571

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.