Application of decision analytical models to diabetes in low- and middle-income countries: a systematic review.

ABSTRACT:

Background

Decision analytical models (DAMs) are used to develop an evidence base for impact and health economic evaluations, including evaluating interventions to improve diabetes care and health services-an increasingly important area in low- and middle-income countries (LMICs), where the disease burden is high, health systems are weak, and resources are constrained. This study examines how DAMs-in particular, Markov, system dynamic, agent-based, discrete event simulation, and hybrid models-have been applied to investigate non-pharmacological population-based (NP) interventions and how to advance their adoption in diabetes research in LMICs.

Methods

We systematically searched peer-reviewed articles published in English from inception to 8th August 2022 in PubMed, Cochrane,

SUBMITTER: Twumwaa TE 

PROVIDER: S-EPMC9684986 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature