Literature DB >> 21151345

Can we count on global health estimates?

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Year:  2010        PMID: 21151345      PMCID: PMC2994661          DOI: 10.1371/journal.pmed.1001002

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


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Byass P (2010) The Imperfect World of Global Health Estimates. PLoS Med 7: e1006. doi:10.1371/journal.pmed.1001006 Boerma T, Mathers C, Abouzahr C (2010) WHO and Global Health Monitoring: The Way Forward. PLoS Med 7: e373. doi:10.1371/journal.pmed.1000373 Murray C, Lopez A (2010) Production and Analysis of Health Indicators: The Role of Academia. PLoS Med 7: e1004. doi:10.1371/journal.pmed.1001004 Sankoh O (2010) Global Health Estimates: Stronger Collaboration Needed With Low- and Middle-Income Countries. PLoS Med 7: e1005. doi:10.1371/journal.pmed.1001005 Graham W, Adjei S (2010) A Call for Responsible Estimation of Global Health. PLoS Med 7: 1003. doi:10.1371/journal.pmed.1001003 This week PLoS Medicine publishes a cluster of articles discussing the current state of global health estimates and debating the way into the future [1]–[5]. Estimates of global health indicators—which give insight into death and disease rates, document advances in health and development, and help policymakers monitor progress—are a necessary evil. They are absolutely essential to improving global health, but they are always unsatisfyingly imperfect. Estimates are estimates—that is, they are not true measurements of health and death. They rely on often inadequate data to create a best guess. Some estimates are undoubtedly better than others, but even with advanced statistical techniques and complex modeling tools it is often frustratingly difficult to interpret and judge the estimates that result and to have complete confidence in their accuracy. As such, estimates are often debated, sometimes fiercely. The idea for a cluster of articles on this topic came from Ties Boerma and Colin Mathers at WHO, who submitted an article to PLoS Medicine laying out their reflections on WHO's estimate work following the high-profile publication of maternal and child mortality estimates by an academic group in advance of the UN's own release of estimates. We felt that a range of viewpoints on the burning issues in health indicator estimates, and on the future of the field, would serve readers best, so we commissioned a group of articles to accompany the piece by Boerma and colleagues [2]. That academic institutions are now in the game of estimate-making, introducing competition in an area that was once the dominion of UN agencies, provides some impetus for the cluster. But the fact that so much has been made of the differences between different estimates is another driver. On the one hand, why does it matter that either 380,000 [6] or 500,000 [7] women die every year trying to give birth—these are both astonishing and deplorable numbers. On the other hand, that national authorities and policymakers working for decades with one set of (UN) numbers might be blind-sided by new, “improved” estimates tracking their country's health and development [8],[9] means something important is lost in translation and must be explored. We commissioned articles from several experts to provide insights and opinion on what the estimates mean for global health, how their generation can be improved, and how to move forward with better data, measurement, and coordination. Representing very different institutional and political orientations, the experts nevertheless agree that the debate about health estimates highlights the relative importance of “the global” and “the local.” For example, each commentator emphasizes the importance of improving the quantity and quality of individual health data and of improving the role of local experts at the country level. This suggests that contentiousness about health indicator estimates operates too much at the level of the global and political, and not enough at levels where real data are generated and interpreted. Medical journals would serve the field best by equally considering original research of both country and global data estimates (following the quality of the science rather than any specific policy agenda), and by publishing incisive commentary and analysis on how these estimates are shaped, fueled, and improved. Since at the very core of the debate about health estimates is the issue of quality, availability, and transparency of data, medical journals could also continue to advocate for data sharing (as PLoS often has), and to support initiatives that call for action on health data—such as the H8 position paper from the eight leading global health agencies published in PLoS Medicine earlier this year [10]. The last thing the field needs is yet more divisions.
  10 in total

1.  Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5.

Authors:  Margaret C Hogan; Kyle J Foreman; Mohsen Naghavi; Stephanie Y Ahn; Mengru Wang; Susanna M Makela; Alan D Lopez; Rafael Lozano; Christopher J L Murray
Journal:  Lancet       Date:  2010-04-09       Impact factor: 79.321

2.  New modelled estimates of maternal mortality.

Authors:  Siti Nurul Qomariyah; Trisari Anggondowati
Journal:  Lancet       Date:  2010-06-05       Impact factor: 79.321

3.  New modelled estimates of maternal mortality.

Authors:  Junice Demeterio Melgar; Alfredo R Melgar
Journal:  Lancet       Date:  2010-06-05       Impact factor: 79.321

4.  Estimates of maternal mortality worldwide between 1990 and 2005: an assessment of available data.

Authors:  Kenneth Hill; Kevin Thomas; Carla AbouZahr; Neff Walker; Lale Say; Mie Inoue; Emi Suzuki
Journal:  Lancet       Date:  2007-10-13       Impact factor: 79.321

5.  Meeting the demand for results and accountability: a call for action on health data from eight global health agencies.

Authors:  Margaret Chan; Michel Kazatchkine; Julian Lob-Levyt; Thoraya Obaid; Julian Schweizer; Michel Sidibe; Ann Veneman; Tadataka Yamada
Journal:  PLoS Med       Date:  2010-01-26       Impact factor: 11.069

6.  The imperfect world of global health estimates.

Authors:  Peter Byass
Journal:  PLoS Med       Date:  2010-11-30       Impact factor: 11.069

7.  A call for responsible estimation of global health.

Authors:  Wendy J Graham; Sam Adjei
Journal:  PLoS Med       Date:  2010-11-30       Impact factor: 11.069

8.  Production and analysis of health indicators: the role of academia.

Authors:  Christopher J L Murray; Alan D Lopez
Journal:  PLoS Med       Date:  2010-11-30       Impact factor: 11.069

9.  WHO and global health monitoring: the way forward.

Authors:  J Ties Boerma; Colin Mathers; Carla Abou-Zahr
Journal:  PLoS Med       Date:  2010-11-30       Impact factor: 11.069

10.  Global health estimates: stronger collaboration needed with low- and middle-income countries.

Authors:  Osman Sankoh
Journal:  PLoS Med       Date:  2010-11-30       Impact factor: 11.069

  10 in total
  5 in total

1.  Lessons from history for designing and validating epidemiological surveillance in uncounted populations.

Authors:  Peter Byass; Osman Sankoh; Stephen M Tollman; Ulf Högberg; Stig Wall
Journal:  PLoS One       Date:  2011-08-03       Impact factor: 3.240

2.  Neonatal mortality levels for 193 countries in 2009 with trends since 1990: a systematic analysis of progress, projections, and priorities.

Authors:  Mikkel Zahle Oestergaard; Mie Inoue; Sachiyo Yoshida; Wahyu Retno Mahanani; Fiona M Gore; Simon Cousens; Joy E Lawn; Colin Douglas Mathers
Journal:  PLoS Med       Date:  2011-08-30       Impact factor: 11.069

Review 3.  Global estimates of country health indicators: useful, unnecessary, inevitable?

Authors:  Carla AbouZahr; Ties Boerma; Daniel Hogan
Journal:  Glob Health Action       Date:  2017 Jan-Dec       Impact factor: 2.640

4.  A flexible urban health index for small area disparities.

Authors:  Richard Rothenberg; Scott R Weaver; Dajun Dai; Christine Stauber; Amit Prasad; Megumi Kano
Journal:  J Urban Health       Date:  2014-10       Impact factor: 3.671

5.  Completeness of birth registration in Brazil: an overview of methods and data sources.

Authors:  Everton E C Lima; Bernardo Lanza Queiroz; Krystof Zeman
Journal:  Genus       Date:  2018-08-09
  5 in total

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