학술논문

A global assessment of civil registration and vital statistics systems: monitoring data quality and progress
Document Type
Academic Journal
Source
The Lancet. Oct 3, 2015, Vol. 386 Issue 10001, p1395, 12 p.
Subject
Language
English
ISSN
0140-6736
Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/S0140-6736(15)60171-4 Byline: Lene Mikkelsen, David E Phillips, Carla AbouZahr, Philip W Setel, Don de Savigny, Rafael Lozano, Alan D Lopez Abstract: Increasing demand for better quality data and more investment to strengthen civil registration and vital statistics (CRVS) systems will require increased emphasis on objective, comparable, cost-effective monitoring and assessment methods to measure progress. We apply a composite index (the vital statistics performance index [VSPI]) to assess the performance of CRVS systems in 148 countries or territories during 1980-2012 and classify them into five distinct performance categories, ranging from rudimentary (with scores close to zero) to satisfactory (with scores close to one), with a mean VSPI score since 2005 of 0*61 (SD 0*31). As expected, the best performing systems were mostly in the European region, the Americas, and Australasia, with only two countries from east Asia and Latin America. Most low-scoring countries were in the African or Asian regions. Globally, only modest progress has been made since 2000, with the percentage of deaths registered increasing from 36% to 38%, and the percentage of children aged under 5 years whose birth has been registered increasing from 58% to 65%. However, several individual countries have made substantial improvements to their CRVS systems in the past 30 years by capturing more deaths and improving accuracy of cause-of-death information. Future monitoring of the effects of CRVS strengthening will greatly benefit from application of a metric like the VSPI, which is objective, costless to compute, and able to identify components of the system that make the largest contributions to good or poor performance. Author Affiliation: (a) LM Consulting, Brisbane, QLD, Australia (b) Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA (c) CAZ Consulting, Geneva, Switzerland (d) The Union North America, New York, NY, USA (e) Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland (f) National Institute of Public Health Mexico, Cuernavaca, Mexico (g) School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia