BMJ Open (Oct 2024)

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

  • Arjun Chandna,
  • Greg Fegan,
  • Abhijit Mishra,
  • Yoel Lubell,
  • Marco Liverani,
  • Bipin Adhikari,
  • Rusheng Chew,
  • Nicholas P J Day,
  • Naomi Waithira,
  • Richard James Maude,
  • Rupam Tripura,
  • Thomas Julian Peto,
  • James John Callery,
  • Lek Dysoley,
  • Moul Vanna,
  • Elke Wynberg,
  • Huy Rekol,
  • Chea Nguon

DOI
https://doi.org/10.1136/bmjopen-2024-089616
Journal volume & issue
Vol. 14, no. 10

Abstract

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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 analysis This is a pragmatic cluster-randomised trial aiming to assess the effect of EDAM and related training on antibiotic prescribing rates in rural Cambodian primary health centres (PHCs) as the primary outcome, along with a range of secondary outcomes including safety. Patients with AFI are eligible for recruitment if they are aged ≥1 year. A cluster is defined as a PHC and PHCs will be randomised to control (standard of care) and intervention (EDAM and associated training) arms, with 15 PHCs per arm. Patients will be followed up after 7 days to ascertain the safety profile of EDAM. Each PHC will recruit 152 patients (total 4560), based on a baseline antibiotic prescription rate of 25% and expected reduction to 17.5% with EDAM.Ethics and dissemination Results will be published in international peer-reviewed journals to inform the design of future versions of EDAM and of future trials of similar eCDSAs and other digital health interventions targeted towards rural populations. This study was approved by the Oxford University Tropical Research Ethics Committee (550-23) and the Cambodian National Ethics Committee for Health Research (395-NECHR).Trial registration number International Standard Randomized Controlled Trial Number Registry (ISRCTN15157105).