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Mortality measurement in transition: proof of principle for standardised multi‐country comparisons
Author(s) -
Fottrell Edward,
Kahn Kathleen,
Ng Nawi,
Sartorius Benn,
Huong Dao Lan,
Van Minh Hoang,
Fantahun Mesganaw,
Byass Peter
Publication year - 2010
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1111/j.1365-3156.2010.02601.x
Subject(s) - demography , population , cause of death , medicine , mortality rate , geography , environmental health , disease , pathology , sociology
Summary Objective To demonstrate the viability and value of comparing cause‐specific mortality across four socioeconomically and culturally diverse settings using a completely standardised approach to VA interpretation. Methods Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (South Africa), FilaBavi (Vietnam) and Purworejo (Indonesia) health and socio‐demographic surveillance sites were identified. VA interviews were successfully conducted with the caregivers of the deceased to elicit information on signs and symptoms preceding death. The information gathered was interpreted using the InterVA method to derive population cause‐specific mortality fractions for each of the four settings. Results The mortality profiles derived from 4784 deaths using InterVA illustrate the potential of the method to characterise sub‐national profiles well. The derived mortality patterns illustrate four populations with plausible, markedly different disease profiles, apparently at different stages of health transition. Conclusions Given the standardised method of VA interpretation, the observed differences in mortality cannot be because of local differences in assigning cause of death. Standardised, fit‐for‐purpose methods are needed to measure population health and changes in mortality patterns so that appropriate health policy and programmes can be designed, implemented and evaluated over time and place. The InterVA approach overcomes several longstanding limitations of existing methods and represents a valuable tool for health planners and researchers in resource‐poor settings.