Literature DB >> 17336655

Health statistics now: are we making the right investments?

J Ties Boerma1, Sally K Stansfield2.   

Abstract

Increases in international funding for health have been accompanied by accelerating demand for more and better statistics, which are needed to track performance and ensure accountability. Worldwide interest in the monitoring of development, as exemplified in the Millennium Development Goals (MDGs), generates pressure for high-quality and timely data for reporting on country progress. This rapid escalation of demand has exposed major gaps in the supply of health statistics for developing countries but also provides major opportunities to increase the supply and use of sound health statistics. First, the emphasis on monitoring and evaluation is leading to proliferation of indicators and excessive reporting requirements, and needs to be refocused on systematic investments in data generation and analysis. Second, the risk of inadequate or poorly targeted investments can be kept to a minimum by understanding the causes of poor availability of health statistics, including lack of accurate measurement instruments, application of suboptimum methods of data collection, and inadequate use of methods and analyses to produce comparable estimates. Third, the preoccupation with MDGs does not take into account the rapid health transition, which implies that health statistics should systematically include a much wider array of health issues from acute infectious diseases to chronic non-communicable diseases and injuries, disaggregated by socioeconomic position. Fourth, the growing number of national household surveys, which are the main source of most population health statistics, need to be streamlined into cohesive and comprehensive country health survey programmes. Now is the time to accelerate the production and use of accurate, complete, and timely health statistics for decision-making by investing in country health information systems that should be based on an efficient and effective mix of standardised methods of data collection and analysis that meet country and international needs.

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Year:  2007        PMID: 17336655     DOI: 10.1016/S0140-6736(07)60364-X

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  49 in total

1.  Local-level mortality surveillance in resource-limited settings: a case study of Cape Town highlights disparities in health.

Authors:  Pam Groenewald; Debbie Bradshaw; Johann Daniels; Nesbert Zinyakatira; Richard Matzopoulos; David Bourne; Najma Shaikh; Tracey Naledi
Journal:  Bull World Health Organ       Date:  2010-01-08       Impact factor: 9.408

2.  Health impact metrics for air pollution management strategies.

Authors:  Sheena E Martenies; Donele Wilkins; Stuart A Batterman
Journal:  Environ Int       Date:  2015-09-14       Impact factor: 9.621

Review 3.  Challenges of health measurement in studies of health disparities.

Authors:  Sarah A Burgard; Patricia V Chen
Journal:  Soc Sci Med       Date:  2014-01-31       Impact factor: 4.634

4.  Measuring the prevalence of chronic diseases using population surveys by pooling self-reported symptoms, diagnosis and treatments: results from the World Health Survey of 2003 for South Asia.

Authors:  J-F Levesque; S Mukherjee; D Grimard; A Boivin; S Mishra
Journal:  Int J Public Health       Date:  2013-02-23       Impact factor: 3.380

5.  Probabilistic Cause-of-death Assignment using Verbal Autopsies.

Authors:  Tyler H McCormick; Zehang Richard Li; Clara Calvert; Amelia C Crampin; Kathleen Kahn; Samuel J Clark
Journal:  J Am Stat Assoc       Date:  2016-10-18       Impact factor: 5.033

Review 6.  Essential health information available for India in the public domain on the internet.

Authors:  Magdalena Z Raban; Rakhi Dandona; Lalit Dandona
Journal:  BMC Public Health       Date:  2009-06-29       Impact factor: 3.295

7.  Regional spread of HIV-1 M subtype B in middle-aged patients by random env-C2V4 region sequencing.

Authors:  Martin Stürmer; Katrin Zimmermann; Carlos Fritzsche; Emil Reisinger; Gottfried Doelken; Annemarie Berger; Hans W Doerr; Josef Eberle; Lutz G Gürtler
Journal:  Med Microbiol Immunol       Date:  2010-03-09       Impact factor: 3.402

8.  How HIV/AIDS scale-up has impacted on non- HIV priority services in Zambia.

Authors:  Ruairí Brugha; Joseph Simbaya; Aisling Walsh; Patrick Dicker; Phillimon Ndubani
Journal:  BMC Public Health       Date:  2010-09-08       Impact factor: 3.295

9.  Scaling up integration: development and results of a participatory assessment of HIV/TB services, South Africa.

Authors:  Vera Scott; Mickey Chopra; Virginia Azevedo; Judy Caldwell; Pren Naidoo; Brenda Smuts
Journal:  Health Res Policy Syst       Date:  2010-07-13

10.  Mortality profiles in a country facing epidemiological transition: an analysis of registered data.

Authors:  Luis Huicho; Miguel Trelles; Fernando Gonzales; Walter Mendoza; Jaime Miranda
Journal:  BMC Public Health       Date:  2009-02-02       Impact factor: 3.295

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