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Journal Article

Citation

Pham BN, Jorry R, Silas VD, Okely AD, Maraga S, Pomat W. Int. J. Epidemiol. 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, International Epidemiological Association, Publisher Oxford University Press)

DOI

10.1093/ije/dyac232

PMID

36545754

Abstract

BACKGROUND: Changing causes of deaths in the mortality transition in Papua New Guinea (PNG) are poorly understood. This study analysed community-level data to identify leading causes of death in the population and variations across age groups and sexes, urban-rural sectors and provinces.

METHOD: Mortality surveillance data were collected from 2018-20 as part of the Comprehensive Health and Epidemiological Surveillance System (CHESS), using the World Health Organization 2016 verbal autopsy (VA) instrument. Data from 926 VA interviews were analysed, using the InterVA-5 cause of death analytical tool to assign specific causes of death among children (0-14 years), those of working age (15-64 years) and the elderly (65+ years).

RESULT: Nearly 50% of the total deaths were attributed to non-communicable diseases (NCDs), followed by infectious and parasitic diseases (35%), injuries and external causes (11%) and maternal and neonatal deaths (4%). Leading causes of death among children were acute respiratory tract infections (ARTIs) and diarrhoeal diseases, each contributing to 13% of total deaths. Among the working population, tuberculosis (TB) contributed to 12% of total deaths, followed by HIV/AIDS (11%). TB- and HIV/AIDS-attributed deaths were highest in the age group 25-34 years, at 20% and 18%, respectively. These diseases killed more females of working age (n = 79, 15%) than males (n = 52, 8%). Among the elderly, the leading causes of death were ARTIs (13%) followed by digestive neoplasms (10%) and acute cardiac diseases (9%).

CONCLUSION: The variations in leading causes of death across the populations in PNG suggest diversity in mortality transition. This requires different strategies to address specific causes of death in particular populations.


Language: en

Keywords

cause of death analysis; Comprehensive Health and Epidemiological Surveillance System; InterVA-5 cause of death analytical tool; mortality transition; Papua New Guinea; verbal autopsy interview; World Health Organization 2016 verbal autopsy instrument

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