Evaluation of an electronic clinical decision support algorithm to improve primary care management of acute febrile illness in rural Cambodia: protocol for a cluster-randomised trial.

ABSTRACT:

Introduction

Acute febrile illness (AFI), traditionally attributed to malaria, is a common reason for seeking primary healthcare in rural South and Southeast Asia. However, malaria transmission has declined while health workers are often poorly equipped to manage non-malarial AFIs. This results in indiscriminate antibiotic prescribing and care escalation, which promotes antibiotic resistance and may increase healthcare costs. To address this problem, an electronic clinical decision support algorithm (eCDSA) called 'Electronic clinical Decision support for Acute fever Management (EDAM)' has been developed for primary health workers which integrates clinical, epidemiological and vital sign data with simple point-of-care tests to produce a diagnosis and management plan.

Methods and

SUBMITTER: Chew R 

PROVIDER: S-EPMC11492946 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature