TY - JOUR
T1 - Peut-on utiliser les données de routine pour la prise de décision stratégique? Une comparaison des tendances temporelles entre les données d'enquête et de routine au Mali
AU - Sawadogo-Lewis, Talata
AU - Keita, Youssouf
AU - Wilson, Emily
AU - Sawadogo, Souleymane
AU - Téréra, Ibrahim
AU - Sangho, Hamadoun
AU - Munos, Melinda
N1 - Funding Information:
Funding: This work was funded by the “National Evaluation Platform Approach for Accountabilityin Women’sandChildren’sHealth”project(grant number 7059904) from Global Affairs Canada to the Institute for International Programs at the Johns Hopkins Bloomberg School of Public Health.
Funding Information:
This work was funded by the ?National Evaluation Platform Approach for Accountability in Women's and Children's Health? project (grant number 7059904) from Global Affairs Canada to the Institute for International Programs at the Johns Hopkins Bloomberg School of Public Health.
Publisher Copyright:
© Sawadogo-Lewis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit https://creativecommons.org/licenses/by/4.0/.
PY - 2021
Y1 - 2021
N2 - Background: Countries with scarce resources need timely and high-quality data on coverage of health interventions to make strategic decisions about where to allocate investments in health. Household survey data are generally regarded as “gold standard,” high-quality data. This study assessed the comparability of intervention coverage time trends from routine and survey data at national and subnational levels in Mali. Methods: We compared 3 coverage indicators: contraceptive prevalence rate, institutional delivery, and 3 doses of diphtheria, pertussis, and tetanus (DPT3) vaccine, using 3 Mali Demographic and Health Surveys (DHS 2001, 2006, and 2012-2013) and routine health system data covering 2001-2012. For routine data, we used local health information system (HIS) annual reports and an HIS database. To compare time trends between the data sources, we calculated the percentage point change and 95% confidence interval from 2001-2006 and 2006-2012. We then computed the absolute and relative differences between the 2 data sources for each indicator over time at national and regional levels and assessed their level of significance. Results: The direction and magnitude of the time trends of contraceptive prevalence rate, institutional delivery, and DPT3 vaccine from 2001 to 2012 were similar at the national level between data sources. At the regional level, there were significant differences in the magnitude and direction of time trends for institutional delivery and the DPT3 vaccine; contraceptive prevalence trends were more consistent. Routine data tended to overestimate DPT3 coverage, and underestimate institutional delivery and contraceptive prevalence relative to survey data. Conclusion: Routine data in Mali-particularly at the national level-appear to be appropriate for use to inform program planning and prioritization, but routine time trends should be interpreted with caution at the subnational level. For program evaluations, routine data may not be appropriate to draw accurate inferences about program impact.
AB - Background: Countries with scarce resources need timely and high-quality data on coverage of health interventions to make strategic decisions about where to allocate investments in health. Household survey data are generally regarded as “gold standard,” high-quality data. This study assessed the comparability of intervention coverage time trends from routine and survey data at national and subnational levels in Mali. Methods: We compared 3 coverage indicators: contraceptive prevalence rate, institutional delivery, and 3 doses of diphtheria, pertussis, and tetanus (DPT3) vaccine, using 3 Mali Demographic and Health Surveys (DHS 2001, 2006, and 2012-2013) and routine health system data covering 2001-2012. For routine data, we used local health information system (HIS) annual reports and an HIS database. To compare time trends between the data sources, we calculated the percentage point change and 95% confidence interval from 2001-2006 and 2006-2012. We then computed the absolute and relative differences between the 2 data sources for each indicator over time at national and regional levels and assessed their level of significance. Results: The direction and magnitude of the time trends of contraceptive prevalence rate, institutional delivery, and DPT3 vaccine from 2001 to 2012 were similar at the national level between data sources. At the regional level, there were significant differences in the magnitude and direction of time trends for institutional delivery and the DPT3 vaccine; contraceptive prevalence trends were more consistent. Routine data tended to overestimate DPT3 coverage, and underestimate institutional delivery and contraceptive prevalence relative to survey data. Conclusion: Routine data in Mali-particularly at the national level-appear to be appropriate for use to inform program planning and prioritization, but routine time trends should be interpreted with caution at the subnational level. For program evaluations, routine data may not be appropriate to draw accurate inferences about program impact.
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U2 - 10.9745/GHSP-D-21-00281
DO - 10.9745/GHSP-D-21-00281
M3 - Article
C2 - 34933982
AN - SCOPUS:85122560516
SN - 2169-575X
VL - 9
SP - 869
EP - 880
JO - Global Health Science and Practice
JF - Global Health Science and Practice
IS - 4
ER -