Notified dengue deaths in Myanmar (2017-18): profile and diagnosis delays

F1000Res. 2020 Jun 9:9:579. doi: 10.12688/f1000research.23699.1. eCollection 2020.

Abstract

Background: Complications in dengue usually occur between day four and day six after fever onset. Hence, early diagnosis and haematological monitoring are vital. Among all hospital reported dengue deaths in Myanmar in 2017-18, we assessed the i) patient profile, ii) proportion of patients who arrived with a dengue diagnosis at admission and iii) delays in diagnosis after fever onset. Methods: This was a descriptive study involving secondary data. For all the notified deaths, death investigation forms were not available in prescribed format and therefore, data were extracted from hospital case records. Results: Of 304 deaths, 184 (60.5%) were female and 233 (76.6%) were less than 10 years old. Township level hospitals or below reported 36 deaths (11.8%) and the remaining deaths were from higher level facilities. Dengue was diagnosed before admission in 26 (8.5%) people and 169 (55.6%) were in shock at admission. Of 208 with date of fever onset recorded, the median diagnosis delay was four (interquartile range-IQR: 3, 5) days. Patient level delay (median three days) was a major contributor to the diagnosis delay. Conclusions: Most of the patients who died did not have a diagnosis of dengue before admission. This calls for an urgent review of health system preparedness in peripheral health facilities to suspect, diagnose, monitor, refer and treat dengue in children and patient level factors for better understanding of the reasons of delay. Timely filling of death investigation forms in a prescribed format and quarterly death reviews based on these is recommended.

Keywords: Delay in diagnosis; Dengue fever; Mortality; Operational Research; SORT IT; Severe dengue.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Child
  • Child, Preschool
  • Delayed Diagnosis*
  • Dengue* / diagnosis
  • Dengue* / epidemiology
  • Disease Notification
  • Female
  • Fever
  • Hospitalization
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Middle Aged
  • Myanmar / epidemiology
  • Young Adult

Associated data

  • figshare/10.6084/m9.figshare.12355958.v1

Grants and funding

This research was conducted through the Structured Operational Research and Training Initiative (SORT IT), a global partnership led by the Special Programme for Research and Training in Tropical Diseases at the World Health Organization (WHO/TDR). The model is based on a course developed jointly by the International Union Against Tuberculosis and Lung Disease (The Union) and Medecins Sans Frontieres (MSF/Doctors Without Borders). The specific SORT IT programme which resulted in this publication was jointly organised and implemented by The Centre for Operational Research, The Union, Paris, France; Department of Medical Research, Ministry of Health and Sports, Yangon; Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw; The Union Country Office, Mandalay, Myanmar; The Union South-East Asia Office, New Delhi, India and London School of Hygiene and Tropical Medicine, London, UK. The training programme, within which this paper was developed, was funded by the Department for International Development (DFID), London, UK.