|Type||Journal Article - Journal of Global Health|
|Title||Can surveys of women accurately track indicators of maternal and newborn care? A validity and reliability study in Kenya|
Tracking progress on maternal and newborn survival requires accurate information on the coverage of essential interventions. Despite widespread use, most indicators measuring maternal and newborn intervention coverage have not been validated. This study assessed the ability of women delivering in two Kenyan hospitals to recall critical elements of care received during the intrapartum and immediate postnatal period at two time points: hospital discharge and 13–15 months following delivery.
Women’s reports of received care were compared against observations by trained third party observers. Indicators selected for validation were either currently in use or have the potential to be included in population–based surveys. We used a mixed–methods approach to validate women’s reporting ability. We calculated individual–reporting accuracy using the area under the receiver operating curve (AUC), population–level accuracy using the inflation factor (IF), and compared the accuracy of women’s reporting at baseline and follow–up. We also assessed the consistency of women’s reporting over time. We used in–depth interviews with a sub–set of women (n = 20) to assess their understanding of key survey terms.
Of 606 women who participated at baseline and agreed to follow–up, 515 were re–interviewed. Thirty–eight indicators had sufficient sample size for validation analysis; ten met criteria for high or moderate reporting accuracy (0.60
The few indicators that women reported accurately at baseline were consistently recalled with accuracy at 13–15 months follow–up. Although there is deterioration in women’s recall in some indicators over time, the extent of deterioration does not appreciably compromise reporting accuracy for indicators with high baseline validity. Indicators related to initial client assessment and the immediate postnatal period have generally low accuracy and poor reporting consistency over time.
|»||Kenya - Demographic and Health Survey 2014|