Objectives: The objectives were to assess the quality of health management information system (HMIS) data needed for assessment of local area variation in pregnancy-induced hypertension (PIH) incidence and to describe district and regional variations in PIH incidence.
Methods: A retrospective review of antenatal and delivery records of 2682 pregnant women in 10 district hospitals in the Greater Accra and Upper West regions of Ghana was conducted in 2013. Quality of HMIS data was assessed by completeness of reporting. The incidence of PIH was estimated for each district.
Results: Key variables for routine assessment of PIH such as blood pressure (BP) at antenatal visits, weight and height were 95-100% complete. Fundal height, gestational age and BP at delivery were not consistently reported. The incidence of PIH differed significantly between Greater Accra region (6.1%) and Upper West region (3.2%). Prevalence of obesity among pregnant women in Greater Accra region (13.9%) was significantly higher than that of women in Upper West region (2.2%).
Conclusions: More attention needs to be given to understanding local area variations in PIH and possible relationships with urbanisation and lifestyle changes that promote obesity, to inform maternal and newborn health policy. This can be done with good quality routine HMIS data.
Objectifs:
Les objectifs étaient d’évaluer la qualité des données du système d'information de gestion de la santé (
Méthodes:
Une analyse rétrospective des dossiers prénatals et des accouchements de 2.682 femmes enceintes dans dix hôpitaux de district dans les régions Greater Accra et Upper West au Ghana a été menée en 2013. La qualité des données
Résultats:
Les variables clés pour l’évaluation de routine de l’
Conclusions:
Une plus grande attention devrait être accordée à la compréhension des variations locales de l’
Objetivos:
Los objetivos eran evaluar la calidad de los datos de los sistemas de información para la gestión sanitaria (
Métodos:
Revisión retrospectiva de historias clínicas prenatales y de parto de 2,682 mujeres embarazadas en diez hospitales distritales de las regiones de Gran Accra y Alta Occidental de Ghana realizada en el 2013. La calidad de los datos de
Resultados:
Las variables clave para la evaluación rutinaria de
Conclusiones:
Es necesario prestar más atención a entender la variación entre áreas locales de la
Keywords: datos rutinarios; decision making; données de routine; hipertensión inducida por el embarazo; hypertension gravidique; local area variation; maternal and newborn health; pregnancy-induced hypertension; prise de décision; routine data; salud materno-infantil; santé maternelle et néonatale; toma de decisiones; variaciones locales; variation locale.
© 2015 The Authors. Tropical Medicine & International Health Published by John Wiley & Sons Ltd.