Using routine health information systems for well-designed health evaluations in low- and middle-income countries

Health Policy and Planning

Volumn 31, Issue 1, 2016, Pages 129-135

  Wagenaar, Bradley H ^a,b   Sherr, Kenneth ^a,b   Fernandes, Quinhas ^c   Wagenaar, Alexander C ^d  

^a UNIVERSITY OF WASHINGTON   (United States)

^b HEALTH ALLIANCE INTERNATIONAL   (United States)

^c MINISTRY OF HEALTH   (Mozambique)

^d UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

Epidemiology; evaluation; health information systems; health policy; health systems research; impact; implementation; methods; research methods; survey methods

Indexed keywords

ATTENTION; COMMUNITY SAMPLE; CONTROL GROUP; CONTROLLED STUDY; DEPENDENT VARIABLE; EXPERIMENTAL DESIGN; HEALTH CARE FACILITY; HEALTH CARE PERSONNEL; HEALTH CARE POLICY; HEALTH PROGRAM; HUMAN; HUMAN EXPERIMENT; INVESTMENT; MEDICAL INFORMATION SYSTEM; MOZAMBIQUE; TIME SERIES ANALYSIS; VALIDITY; DEVELOPING COUNTRY; HEALTH CARE DELIVERY; HEALTH SURVEY; MEASUREMENT ACCURACY; POVERTY;

DATA ACCURACY; DELIVERY OF HEALTH CARE; DEVELOPING COUNTRIES; HEALTH INFORMATION SYSTEMS; HEALTH POLICY; POPULATION SURVEILLANCE; POVERTY;

EID: 84966277890     PISSN: 02681080     EISSN: 14602237     Source Type: Journal    
DOI: 10.1093/heapol/czv029     Document Type: Article

References (49)

1. AbouZahr C, Boerma T. 2005. Health information systems: The foundations of public health. Bulletin of theWorld Health Organization 83: 578-83.
2. Amouzou A, Kachaka W, Banda B et al. 2013. Monitoring child survival in 'real time' using routine health facility records: results from Malawi. Tropical Medicine and International Health. 18(10). doi: 10. 1111/tmi. 12167.
3. Biglan A, Ary D, Wagenaar AC. 2000. The value of interrupted time-series experiments for community intervention research. Prevention Science 1: 31-49.
4. Bosch-Capblanch X, Ronveau O, Doyle V, Remedios V, Bchir A. 2009. Accuracy and quality of immunization information systems in fourty-one low income countries. Tropical Medicine and International Health 14: 2-10.
5. Box GEP, Jenkins GM. 1970. Time Series Analysis: Forecasting and Control. San Francisco: Holden-Day.
6. Braa J, Heywood A, Sahay S. 2012. Improving quality and use of data through data-use workshops: Zanzibar, United Republic of Tanzania. Bulletin of the World Health Organization 90: 379-84.
7. Byass P. 2010. The imperfect world of global health estimates. PLoS Medicine 7: e1001006.
8. Chanda E, Coleman M, Kleinschmidt I et al. 2012. Impact assessment of malaria vector control using routine surveillance data in Zambia: implications for monitoring and evaluation. Malaria Journal 11: 437.
9. Chilundo B, Sundby J, Aanestad M. 2004. Analysing the quality of routine malaria data in Mozambique. Malaria Journal 3: 3.
10. Cibulskis RE, Hiawalyer G. 2002. Information systems for health sector monitoring in Papua New Guinea. Bulletin of the World Health Organization 80: 752-8.
11. Fernandes QF, Wagenaar BH, Anselmi L et al. 2014. Effects of health-system strengthening on under-5, infant, and neonatal mortality: 11-year provincial-level time-series analyses in Mozambique. Lancet Global Health 2(8) e468-e477.
12. Gimbel S, Micek M, Lambdin B et al. 2011. An assessment of routine primary care health information system data quality in Sofala Province, Mozambique. Population Health Metrics 13;9:12.
13. Glass VG, Willson VL, Gottman JM. 2008. Design and Analysis of Time-Series Experiments. Charlotte, NC: Information Age Publishing.
14. Goldstein H, Healy MJR, Rasbash J. 1994. Multilevel time series models with applications to repeated measures data. Statistics in Medicine 13: 1643-55.
15. Hazel E, Requeko J, David J, Bryce J. 2013. Measuring coverage in MNCH: evaluation of community-based treatment of childhood illness through household surveys. PLoS Medicine 10: e1001384.
16. Instituto Nacional de Estatistica. 2013. Mozambique 2011 DHS Final Report. Measure DHS. http://dhsprogram. com/publications/publication-fr266-dhsfinal-reports. cfm (accessed 3 March 2015).
17. Khuder S, Milz S, Jordan T et al. 2007. The impact of a smoking ban on hospital admissions for coronary heart disease. Preventive Medicine 45: 3-8.
18. Lambdin BH, Micek MA, Koepsell TD et al. 2012. An assessment of the accuracy and availability of data in electronic patient tracking systems for patients receiving HIV treatment in central Mozambique. BMC Health Services Research 2;12: 30.
19. Lim SS, David SB, Charrow A, Murray CJL. 2008. Tracking progress towards universal childhood immunisation and the impact of global initiatives: A systematic analyses of three-dose diphtheria, tetanus, and pertussis immunisation coverage. The Lancet 372: 2031-46.
20. London School of Hygeine & Tropical Medicine. 2012. Measuring Implementation Strength: Literature Review Draft Report 2012. http://ideas. lshtm. Ac. uk/sites/ideas. lshtm. Ac. uk/files/Report-implementation- strength-Final-0. pdf, accessed 29 October 2014.
21. Mate KS, Bennett B, Mphatswe W, Barker P, Rollins N. 2009. Challenges for routine health system data management in a large public programme to prevent mother-to-childHIV transmission in South Africa. PLoSOne 4: e5483.
22. McCarney R, Warner J, Iliffe S et al. 2007. The Hawthorne Effect: A randomized, controlled trial. BMC Medical Research Methodology 7: 30.
23. McCleary R, Hay R. 1980. Applied Time Series Analysis for the Social Sciences. Thousand Oaks: Sage.
24. MEASURE DHS. 2014. Demographic and Health Surveys. http:// www. dhsprogram. com/
25. Morrell S, Page AN, Taylor RJ. 2007. The decline in Australian young male suicide. Social Science and Medicine 64: 747-54.
26. Mphatswe W, Mate KS, Bennett B et al. 2012. Improving public health information: A data quality intervention in KwaZulu-Natal, South Africa. Bulletin of theWorld Health Organization 90: 176-182.
27. Mutale W, Chintu N, Amoroso C et al. 2013. Improving health information systems for decision making across five sub-Saharan African countries: implementation strategies from the African health initiative. BMC Health Services Research 13: 59.
28. O'Malley PM, Wagenaar AC. 1991. Effects of minimum drinking age laws on alcohol use, related behaviors and traffic crash involvement among american youth: 1976-1987. Journal of Studies on Alcohol 52: 478-491.
29. Pfeiffer J. 2003. International NGOs and primary health care in Mozambique: The need for a new model of collaboration. Social Science and Medicine 56: 725-38.
30. Ronveaux O, Rickert D, Hadler S et al. 2005. The immunization data quality audit: verifying the quality and consistency of immunization monitoring systems. Bulletin of theWorld Health Organization 83: 503-510.
31. Rothwell PM. 2005. External validity of randomised controlled trials: "to whom do the results of this trial apply?" The Lancet 365: 82-93.
32. Rowe AK. 2009. Potential of integrated continuous surveys and quality management to support monitoring, evaluation, and the scale-up of health interventions in developing countries. American Journal of Tropical Medicine and Hygeine 80: 971-9.
33. Rowe AK, Kachur PS, Yoon SS et al. 2009. Caution is required when using health facility-based data to evaluate the health impact of malaria control efforts in Africa. Malaria Journal 8: 209.
34. Rowe AK, Steketee RW, Arnold F et al. 2007. Evaluating the impact of malaria control efforts on mortality in sub-Saharan Africa. Tropical Medicine and International Health 12: 1524-39.
35. Shadish WR, Cook TD, Campbell DT. 2002. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Belmont, Wadsworth.
36. Sherr K, Cuembelo F, Michel C et al. 2013. Strengthening integrated primary health care in Sofala, Mozambique. BMC Health Services Research 13(Suppl 2): S4.
37. Short Fabic M, Choi Y, Bird S. 2013. A systematic review of demographic and health surveys: data availability and utilization for research. Bulletin of the World Health Organization 90: 604-612.
38. The Global Fund to Fight AIDS, Tuberculosis, and Malaria. 2009. Global Fund Five-Year Evaluation: Study Area 3-The Impact of Collective Efforts on the Reduction of the Disease Burden of AIDS, Tuberculosis, and Malaria. http://www. Theglobalfund. org/documents/terg/TERG-SA3- Report-en/, accessed 23 October 2014.
39. UNICEF. 2014. Statistics and Monitoring: Multiple Indicator Cluster Survey.
40. Verguet S, Jassat W, Bertram M et al. 2013. Impact of supplemental immunization activity (SIA) campaigns on health systems: findings from South Africa. Journal of Epidemiology and Community Health 67: 947-52.
41. Victora CG, Black RE, Boerma TJ, Bryce J. 2011. Measuring impact in the millennium development goal era and beyond: A new approach to largescale effectivness evaluations. The Lancet 377: 85-95.
42. Victora CG, Habicht J-P, Bryce J. 2004. Evidence-based public health: moving beyond randomzed trials. American Journal of Public Health 94: 400-405.
43. Wagenaar AC, Burris SC. 2013. Public Health Law Research: Theory and Methods. San Francisco: Jossey-Bass.
44. Wagenaar AC, Maldonado-Molina MM, Wagenaar BH. 2009. Effects of alcohol tax increases on alcohol-related disease mortality in Alaska: Time-series analyses from 1976-2004. American Journal of Public Health 99: 1464-70.
45. Wagenaar AC, Maybee RG, Sullivan KP. 1988. Mandatory seat belt laws in eight states: A time-series evaluation. Journal of Safety Research 19: 31-70.
46. Wagner AK, Soumerai SB, Zhang F, Ross-Degnan D. 2002. Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics 27: 299-309.
47. Wagner BH, Gimbel S, Hoek R, et al. 2015. Effects of a health information system data quality intervention on concordance in Mozambique: Time-series analyses from 2009-2012. Population Health Metrics 13, doi:10. 1186/ s12963-015-0043-3.
48. World Health Organization. 2008. Framework and standards for country health information systems. 2nd edition. Published by the Health metrics network and the world health organization, Geneva, Switzerland.
49. Zorn CJW. 2001. Generalized estimating equation models for correlated data: A review with applications. American Journal of Political Science 45: 470-490.