Publications des scientifiques de l'IRD

Dossa N.I., Philibert A., Dumont Alexandre. (2016). Using routine health data and intermittent community surveys to assess the impact of maternal and neonatal health interventions in low-income countries : a systematic review. In : Kouanda S. (ed.), Kabra R. (ed.), Dumont Alexandre (ed.). Maternal and neonatal helath in Africa at MDG end : availabiliy of and access to maternal health services, and outcomes of intervention strategies. International Journal of Gynecology and Obstetrics, 135 (No spécial S1), p. S64-S71. ISSN 0020-7292.

Titre du document
Using routine health data and intermittent community surveys to assess the impact of maternal and neonatal health interventions in low-income countries : a systematic review
Année de publication
2016
Type de document
Article référencé dans le Web of Science WOS:000398387500013
Auteurs
Dossa N.I., Philibert A., Dumont Alexandre
In
Kouanda S. (ed.), Kabra R. (ed.), Dumont Alexandre (ed.) Maternal and neonatal helath in Africa at MDG end : availabiliy of and access to maternal health services, and outcomes of intervention strategies
Source
International Journal of Gynecology and Obstetrics, 2016, 135 (No spécial S1), p. S64-S71 ISSN 0020-7292
Background: There is a need to provide increased evidence on effective interventions to reduce maternal and neonatal mortality in low- and middle-income countries (LMICs). Objectives: To summarize the breadth of knowledge on using routine data (Routine Health Information Systems [RHIS] and Intermittent Community Surveys [ICS]) forwell-designed maternal and neonatal health evaluations inLMICs. Search strategy:We searched reports and articles published inEmbase, Medline, and Google scholar. Selection criteria Studieswere considered for inclusion if they were carried out in LMICs, using RHIS or ICS data with experimental or quasi-experimental design. Data collection and analysis: A form was used to collect information on indicators used for interventions’ impact assessment. Descriptive statistics and multiple correspondence analyses were then performed. Main results: Of the 1201 publications identified, 46 studies met the inclusion criteria. Most of these were using RHIS data (n=40), mainly extracted from health facility registers (n=34), and non-controlled before and after design (n=30). The indicators, which were mostly reported, were related to the use of healthcare services (n=36) and maternal/neonatal health outcomes (n=31). Few studies used ICS data (n=6) or indicators of severity (n=2). Conclusion: RHIS and ICS data should be increasingly used for impact studies on maternal and neonatal health in LMICs.
Plan de classement
Santé : généralités [050]
Localisation
Fonds IRD [F B010069015]
Identifiant IRD
fdi:010069015
Contact