| Literature DB >> 33910944 |
Stellah G Mpagama1, Kaushik Ramaiya2, Troels Lillebæk3, Blandina T Mmbaga4, Marion Sumari-de Boer5, Nyanda Elias Ntinginya6, Jan-Willem Alffenaar7, Scott K Heysell8, Ib C Bygbjerg9, Dirk L Christensen9.
Abstract
INTRODUCTION: Most 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. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: diabetes & endocrinology; public health; tuberculosis
Mesh:
Year: 2021 PMID: 33910944 PMCID: PMC8094344 DOI: 10.1136/bmjopen-2020-041521
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The ADEPT model includes three essential domains. The performance domain is identified as integration of communicable and non-communicable diseases. For effective delivery of adaptive service, the performance domain requires support by the second and third domains called a stepwise training approach and learning systems. The stepwise training approach will ensure the front-line healthcare providers acquire knowledge and skills necessary for integrating communicable and NCDs. The learning system domain should be continuously operating by including processes like implementation research and clinical audits which serves as a system lens to continuously inform the operation of the performance domain. Information flow including clinical guidelines and new practices will go through the stepwise training approach. The three functioning domains create an adaptive service delivery model for the health system. ADEPT, Adaptive Diseases control Expert Programme in Tanzania; NCDs, non-communicable diseases.
Figure 2Logic framework model for measuring outcomes and impact.
Figure 3Hierarchy of needs for strengthening the health system as described by Potter and Brough.33
Figure 4Introduction of integration of TB/DM services thereafter stepwise introduction of packages comprises of susceptibility, therapeutic drug monitoring, HbA1c for optimal TB/DM case management at all levels of health facilities. DM, diabetes mellitus; TB, tuberculosis.