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Community workers contribution for data quality improvement in routine health information system: Live births number estimation by capture recapture method

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DOI: 10.4236/ojepi.2014.41008    2,809 Downloads   4,384 Views  

ABSTRACT

The lack of reliable vital statistics raises questions about the role of the health information system in acquiring such data, which are essential for planning health services and for the general management of the population’s needs. This study analyzed completeness of the vital data registration system and assessed the potential contribution of a community worker net-work to this system in rural Benin. The capture-recapture method was used in this interventional study to estimate the number of live births from three sources: the Routine Health Information System, the municipality, and community workers in two groups of villages. Log linear modelling was carried out with a Bayesian Information Criterion-weighted estimate of the number of live births. The exhaustiveness of the Routine Health Information System was improved by the contribution of the community workers from 29.3% to 42.5% in the first group, and from 61.7% to 77.5% in the second group. Estimating live births by the capture method in rural settings based on the contribution of community workers could be a more efficient alternative to censuses in acquiring reliable vital statistics.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Glèlè Ahanhanzo, Y. , Kpozèhouen, A. , Moussiliou Paraïso, N. , Levêque, A. , Makoutodé, M. and Dramaix-Wilmet, M. (2014) Community workers contribution for data quality improvement in routine health information system: Live births number estimation by capture recapture method. Open Journal of Epidemiology, 4, 39-45. doi: 10.4236/ojepi.2014.41008.

References

[1] [1] UN (2001) Principles and recommendations for a vital statistics system. United Nations, New York.
[2] AbouZahr, C. and Boerma, T. (2005) Health information systems: The foundations of public health. Bulletin of the World Health Organization, 83, 578-583.
[3] Setel, P.W., Macfarlane, S.B., Szreter, S., Mikkelsen, L., Jha, P., Stout, S., AbouZahr, C. and Monitoring of Vital, E. (2007) A scandal of invisibility: Making everyone count by counting everyone. The Lancet, 370, 1569-1577. http://dx.doi.org/10.1016/S0140-6736(07)61307-5
[4] Zachariah, R., Mwagomba, B., Misinde, D., Mandere, B.C., Bemeyani, A., Ginindza, T., Cortier, H., Bissel, K., Jahn, A. and Harries, A.D. (2011) Vital registration in rural Africa: Is there a way forward to report on health targets of the Millennium Development Goals? Transactions of the Royal Society of Tropical Medicine and Hygiene, 105, 301-309. http://dx.doi.org/10.1016/j.trstmh.2011.03.002
[5] Bhalla, K., Harrison, J.E., Shahraz, S., Fingerhut, L.A. and Global Burden of Disease Injury Expert, G. (2010) Availability and quality of cause-of-death data for estimating the global burden of injuries. Bulletin of the World Health Organization, 88, 831C-838C. http://dx.doi.org/10.2471/BLT.09.068809
[6] Hill, K., Lopez, A.D., Shibuya, K., Jha, P. and Monitoring of Vital, E. (2007) Interim measures for meeting needs for health sector data: Births, deaths, and causes of death. The Lancet, 370, 1726-1735. http://dx.doi.org/10.1016/S0140-6736(07)61309-9
[7] Hogan, M.C., Foreman, K.J., Naghavi, M., Ahn, S.Y., Wang, M., Makela, S.M., Lopez, A.D., Lozano, R. and Murray, C.J. (2010) Maternal mortality for 181 countries, 1980-2008: A systematic analysis of progress towards Millennium Development Goal 5. The Lancet, 375, 1609-1623. http://dx.doi.org/10.1016/S0140-6736(10)60518-1
[8] Mahapatra, P., Shibuya, K., Lopez, A.D., Coullare, F., Notzon, F.C., Rao, C., Szreter, S. and Monitoring Vital, E. (2007) Civil registration systems and vital statistics: Successes and missed opportunities. The Lancet, 370, 1653-1663. http://dx.doi.org/10.1016/S0140-6736(07)61308-7
[9] HMN (2007) Rapport d’évaluation du système national d’information et de gestion sanitaires du benin. World Health Organisation, Geneva.
[10] HMN (2007) Rapport d’evaluation du systeme d’information sanitaire du senegal. World Health Organisation, Geneva.
[11] HMN (2008) Rapport d’évaluation du système d’information sanitaire du Burkina Faso. World Health Organisation, Geneva.
[12] HMN (2009) Rapport d’évaluation du système national d’information ivoirien par l’outil du réseau de métrologie sanitaire RMS/HMN. World Health Organization, Geneva.
[13] Adeya, G., Bigirimana, A., Cavanaugh, K. and Miller Franco, L. (2007) Rapid assessment of the health system in benin, 2006. US Agency for International Development, Washington DC.
[14] HS20/20 (2012) Health system assessment in Bénin. Health Systems 20/20 Project, Abt Associates Bethesda.
[15] WHO (2013) Statistiques sanitaires mondiales. World Health Organisation, Genève.
[16] AbouZahr, C., Cleland, J., Coullare, F., Macfarlane, S.B., Notzon, F.C., Setel, P., et al. (2007) The way forward. The Lancet, 370, 1791-1799. http://dx.doi.org/10.1016/S0140-6736(07)61310-5
[17] Bisimwa, B.G., Mambo, M.T., Mitangala, N.P., Schirvel, C., Porignon, D., Dramaix, W.M. and Donnen, P. (2009) [The effectiveness of community volunteers in counting populations and assessing their nutritional vulnerability during armed conflict: District health in D.R. Congo, Central Africa]. Sante (Montrouge, France), 19, 81-86.
[18] Qomariyah, S.N., Braunholtz, D., Achadi, E.L., Witten, K.H., Pambudi, E.S., Anggondowati, T., Latief, K. and Graham, W.J. (2010) An option for measuring maternal mortality in developing countries: A survey using community informants. BMC Pregnancy Childbirth, 10, 74. http://dx.doi.org/10.1186/1471-2393-10-74
[19] Singogo, E., Kanike, E., van Lettow, M., Cataldo, F., Zachariah, R., Bissell, K. and Harries, A.D. (2013) Village registers for vital registration in rural Malawi. Tropical Medicine and International Health, 18, 1021-1024. http://dx.doi.org/10.1111/tmi.12132
[20] Ludwick, T., Brenner, J.L., Kyomuhangi, T., Wotton, K.A. and Kabakyenga, J.K. (2013) Poor retention does not have to be the rule: Retention of volunteer community health workers in Uganda. Health Policy and Planning. http://dx.doi.org/10.1093/heapol/czt025
[21] Takasugi, T. and Lee, A.C. (2012) Why do community health workers volunteer? A qualitative study in Kenya. Public Health, 126, 839-845. http://dx.doi.org/10.1016/j.puhe.2012.06.005
[22] Gallay, A., Nardone, A., Vaillant, V. and Desenclos, J.C. (2002) The capture-recapture applied to epidemiology: principles, limits and application. Revue d’ Epidemiologie et de Sante Publique, 50, 219-232
[23] Hook, E.B. and Regal, R.R. (1995) Capture-recapture estimation. Epidemiology, 6, 569-570. http://dx.doi.org/10.1097/00001648-199509000-00023
[24] Hook, E.B. and Regal, R.R. (1999) Recommendations for presentation and evaluation of capture-recapture estimates in epidemiology. Journal of Clinical Epidemiology, 52, 917-926; Discussion 929-933.
[25] Hook, E.B. and Regal, R.R. (1995) Capture-recapture methods in epidemiology: Methods and limitations. Epidemiologic Reviews, 17, 243-264
[26] MOH (2013) Rapport du monitoring des activités du 1er semestre 2013: Zone sanitaire de ouidah. Ministry of Health, Ouidah.
[27] OSN (2003) Statistiques démographiques: Définition et méthodes de collecte dans 31 pays européens. Office Statistique Néerlandais, Luxembourg.
[28] Wittes, J. and Sidel, V.W. (1968) A generalization of the simple capture-recapture model with applications to epidemiological research. Journal of Chronic Diseases, 21, 287-301. http://dx.doi.org/10.1016/0021-9681(68)90038-6
[29] Wittes, J.T., Colton, T. and Sidel, V.W. (1974) Capture-recapture methods for assessing the completeness of case ascertainment when using multiple information sources. Journal of Chronic Diseases, 27, 25-36. http://dx.doi.org/10.1016/0021-9681(74)90005-8
[30] Draper, D. (1995) Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society: Series B, 57, 45-70.
[31] Hook, E.B. and Regal, R.R. (1997) Validity of methods for model selection, weighting for model uncertainty, and small sample adjustment in capture-recapture estimation. American Journal of Epidemiology, 145, 1138-1144. http://dx.doi.org/10.1093/oxfordjournals.aje.a009077
[32] Wittes, J.T. (1972) On the bias and estimated variance of Chapman’s two sample capture recapture population estimate. Biometrics, 28, 592-597. http://dx.doi.org/10.2307/2556173
[33] Debrock, C., Preux, P.M., Houinato, D., Druet-Cabanac, M., Kassa, F., Adjien, C., Avode, G., Denis, F., Boutros-Toni, F. and Dumas, M. (2000) Estimation of the prevalence of epilepsy in the Benin region of Zinvie using the capture-recapture method. International Journal of Epidemiology, 29, 330-335. http://dx.doi.org/10.1093/ije/29.2.330
[34] Schmid, B. and Silva, N.N. (2011) Estimation of live birth underreporting with a capture-recapture method, Sergipe, Northeastern Brazil. Revista de Saude Publica, 45, 1088-1098. http://dx.doi.org/10.1590/S0034-89102011000600011
[35] Vaissade, L. and Legleye, S. (2009) Capture-recapture estimates of the local prevalence of problem drug use in six French cities. European Journal of Public Health, 19, 32-37. http://dx.doi.org/10.1093/eurpub/ckn126
[36] Black, J.F., McLarty, D. and Mtasiwa, D.E. (1994) Capture-recapture techniques. Difficult to use in developing countries. British Medical Journal, 308, 531
[37] Drumond Ede, F., Machado, C.J. and Franca, E. (2008) Underreporting of live births: Measurement procedures using the Hospital Information System. Revista de Saude Publica, 42, 55-63.

  
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