Dataset Information

Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.

ABSTRACT: Background: Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection. Objectives: This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and research areas that may be of interest to RMNH stakeholders. Methods: Annual data on family planning are gathered from a nationally representative, cross-sectional survey of women age 15-49. Data on maternal and newborn health are gathered from a cohort of women who were pregnant or recently postpartum at the time of enrollment. Women are followed at 6-weeks, 6-months, and 1-year to understand health seeking behavior, utilization, and quality. Data from service delivery points (SDPs) are gathered annually to assess service quality and availability. Households and SDPs can be linked at the enumeration area level to improve estimates of effective coverage. Discussion: Data from PMA-Ethiopia will be available at www.pmadata.org. PMA-Ethiopia is a unique data source that includes multiple, simultaneously fielded data collection activities. Data are available partner dynamics, experience with contraceptive use, unintended pregnancy, empowerment, and detailed information on components of services that are not available from other large-scale surveys. Additionally, we highlight the unique contribution of PMA Ethiopia data in assessing the impact of coronavirus disease 2019 (COVID-19) on RMNH.

SUBMITTER: Zimmerman L

PROVIDER: S-EPMC7593701 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.

Zimmerman Linnea L Desta Selam S Yihdego Mahari M Rogers Ann A Amogne Ayanaw A Karp Celia C Wood Shannon N SN Creanga Andreea A Ahmed Saifuddin S Seme Assefa A Shiferaw Solomon S

Gates open research 20200909

<b>Background:</b> Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection. <b>Objectives: </b>This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and rese ...[more]

PMID: 33150302

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Project description:BackgroundDespite reports of universal access to and modest utilization of maternal and newborn health services in Ethiopia, mothers and newborns continue to die from preventable causes. Studies indicate this could be due to poor quality of care provided in health systems. Evidences show that high quality health care prevents more than half of all maternal deaths. In Ethiopia, there is limited knowledge surrounding the status of the quality of maternal and newborn health care in health facilities. This study aims to assess the quality of maternal and neonatal health care provision at the health facility level in four regions in Ethiopia.MethodologyThis study employed a facility-based cross-sectional study design. It included 32 health facilities which were part of the facilities for prototyping maternal and neonatal health quality improvement interventions. Data was collected using a structured questionnaire, key informant interviews and record reviews. Data was entered in Microsoft Excel and exported to STATA for analysis. Descriptive analysis results are presented in texts, tables and graphs. Quality of maternal and neonatal health care was measured by input, process and outputs components. The components were developed by computing scores using standards used to measure the three components of the quality of maternal and neonatal health care.ResultThe study was done in a total of 32 health facilities: 5 hospitals and 27 health centers in four regions. The study revealed that the average value of the quality of the maternal and neonatal health care input component among health facilities was 62%, while the quality of the process component was 43%. The quality of the maternal and neonatal health output component was 48%. According to the standard cut-off point for MNH quality of care, only 5 (15.6%), 3 (9.3%) and 3 (10.7%) of health facilities met the expected input, process and output maternal and neonatal health care quality standards, respectively.ConclusionThis study revealed that the majority of health facilities did not meet the national MNH quality of care standards. Focus should be directed towards improving the input, process and output standards of the maternal and neonatal health care quality, with the strongest focus on process improvement.

Project description:BackgroundTo address the shortfall in human resources for health, Ethiopia launched the Health Extension Program (HEP) in 2004, establishing a health post with two female health extension workers (HEWs) in every kebele (community). In 2011, the Women's Development Army (WDA) strategy was added, using networks of neighboring women to increase the efficiency of HEWs in reaching every household, with one WDA team leader for every 30 households. Through the strategy, women in the community, in partnership with HEWs, share and learn about health practices and empower one another. This study assessed the association between the WDA strategy implementation strength and household reproductive, maternal, newborn and child health care behaviors and practices.MethodsUsing cross-sectional household surveys and community-level contextual data from 423 kebeles representing 145 rural districts, an internal comparison group design was applied to assess whether HEP outreach activity and household-level care practices were better in kebeles with a higher WDA density. The density of active WDA leaders was considered as WDA strategy implementation strength; higher WDA density in a kebele indicating relatively high implementation strength. Based on this, kebeles were classified as higher, moderate, or lower. Multilevel logit models, adjusted for respondents' individual, household and contextual characteristics, were used to assess the associations of WDA strategy implementation strength with outcome indicators of interest.ResultsAverage numbers of households per active WDA team leader in the 25th, 50th and 75th percentiles of the kebeles studied were respectively 41, 50 and 73. WDA density was associated with better service for six of 13 indicators considered (p <?0.05). For example, kebeles with one active WDA team leader for up to 40 households (higher category) had respectively 7 (95% CI, 2, 13), 11 (5, 17) and 9 (1, 17) percentage-points higher contraceptive prevalence rate, coverage of four or more antenatal care visits, and coverage of institutional deliveries respectively, compared with kebeles with one active WDA team leader for 60 or more households (lower category).ConclusionHigher WDA strategy implementation strength was associated with better health care behaviors and practices, suggesting that the WDA strategy supported HEWs in improving health care services delivery.

Project description:BackgroundMajority of causes of maternal and newborn mortalities are preventable. However, poor access to and low utilization of health services remain major barriers to optimum health of the mothers and newborns. The objectives of this study were to assess maternal and newborn health services utilization and factors affecting mothers' health service utilization.MethodsA community based cross-sectional survey was carried out on randomly selected mothers who gave birth within a year preceding the survey. The survey was supplemented with key informant interviews of experts/health professionals. Multivariable logistic model was used to identify factors associated with service utilization. Adjusted odds ratios (AORs) were used to assess the strength of the associations at p-value ≤0.05. The qualitative data were summarized thematically.ResultsA total of 789 (99.1% response rate) mothers participated in the study. The proportion of the mothers who got at least one antennal care (ANC) visit, institutional delivery and postnatal care (PNC) were 93.3, 77.4 and 92.0%, respectively. Three-forth (74.2%) of the mothers started ANC lately and only 47.5% of them completed ANC4+ visits. Medium (4-6) family size (AOR: 2.3; 95% CI: 1.1, 4.9), decision on ANC visits with husband (AOR: 30.9; 95% CI: 8.3, 115.4) or husband only (AOR: 15.3; 95%CI: 3.8, 62.3) and listening to radio (AOR: 2.5; 95%CI: 1.1, 5.6) were associated with ANC attendance. Mothers whose husbands read/write (AOR: 1.6; 95% CI: 1.1, 2.), attended formal education (AOR: 2.8; 95% CI: 1.1, 6.8), have positive attitudes (AOR: 10.2; 95% CI: 25.9), living in small (AOR: 3.0; 95% CI: 1.2, 7.6) and medium size family (AOR: 2.3; 95% CI: 1.2, 4.1) were more likely to give birth in-health facilities. The proportion of PNC checkups among mothers who delivered in health facilities and at home were 92.0 and 32.5%, respectively. The key informants mentioned that home delivery, delayed arrival of the mothers, unsafe delivery settings, shortage of skilled personnel and supplies were major obstacles to maternal health services utilization.ConclusionsHealth information communication targeting husbands may improve maternal and newborn health services utilization. In service training of personnel and equipping health facilities with essential supplies can improve the provider side barriers.

Project description:BackgroundCurrently many measures of intervention coverage obtained from household surveys do not measure actual health intervention/service delivery, resulting in a need for linking reports of care-seeking with assessments of the service environment in order to improve measurements. This systematic review aims to identify evidence of different methods used to link household surveys and service provision assessments, with a focus on reproductive, maternal, newborn and child health care, in low- and middle-income countries.MethodsUsing pre-defined search terms, articles published in peer-reviewed journals and the grey literature after 1990 were identified, their reference lists scanned and linking methods synthesized.FindingsA total of 59 articles and conference presentations were carefully reviewed and categorized into two groups based on the linking method used: 1) indirect/ecological linking that included studies in which health care-seeking behavior was linked to all or the nearest facilities or providers of certain types within a geographical area, and 2) direct linking/exact matching where individuals were linked with the exact provider or facility where they sought care. The former approach was employed in 51 of 59 included studies, and was particularly common among studies that were based on independent sources of household and facility data that were nationally representative. Only eight of the 59 reviewed studies employed direct linking methods, which were typically done at the sub-national level (eg, district level) and often in rural areas, where the number of providers was more limited compared to urban areas.ConclusionsDifferent linking methods have been reported in the literature, each category has its own set of advantages and limitations, in terms of both methodology and practicality for scale-up. Future studies that link household and provider/facility data should also take into account factors such as sources of data, the timing of surveys, the temporality of data points, the type of services and interventions, and the scale of the study in order to produce valid and reliable results.

Project description:BackgroundThe COVID-19 pandemic and response have the potential to disrupt access and use of reproductive, maternal, and newborn health (RMNH) services. Numerous initiatives aim to gauge the indirect impact of COVID-19 on RMNH.MethodsWe assessed the impact of COVID-19 on RMNH coverage in the early stages of the pandemic using panel survey data from PMA-Ethiopia. Enrolled pregnant women were surveyed 6-weeks post-birth. We compared the odds of service receipt, coverage of RMNCH service indicators, and health outcomes within the cohort of women who gave birth prior to the pandemic and the COVID-19 affected cohort. We calculated impacts nationally and by urbanicity.ResultsThis dataset shows little disruption of RMNH services in Ethiopia in the initial months of the pandemic. There were no significant reductions in women seeking health services or the content of services they received for either preventative or curative interventions. In rural areas, a greater proportion of women in the COVID-19 affected cohort sought care for peripartum complications, ANC, PNC, and care for sick newborns. Significant reductions in coverage of BCG vaccination and chlorohexidine use in urban areas were observed in the COVID-19 affected cohort. An increased proportion of women in Addis Ababa reported postpartum family planning in the COVID-19 affected cohort. Despite the lack of evidence of reduced health services, the data suggest increased stillbirths in the COVID-19 affected cohort.DiscussionThe government of Ethiopia's response to control the COVID-19 pandemic and ensure continuity of essential health services appears to have successfully averted most negative impacts on maternal and neonatal care. This analysis cannot address the later effects of the pandemic and may not capture more acute or geographically isolated reductions in coverage. Continued efforts are needed to ensure that essential health services are maintained and even strengthened to prevent indirect loss of life.

Project description:BackgroundReproductive, maternal, newborn, child health, and nutrition (RMNCH&N) data is an indispensable tool for program and policy decisions in low- and middle-income countries. However, being equipped with evidence doesn't necessarily translate to program and policy changes. This study aimed to characterize data visualization interpretation capacity and preferences among RMNCH&N Tanzanian program implementers and policymakers ("decision-makers") to design more effective approaches towards promoting evidence-based RMNCH&N decisions in Tanzania.MethodsWe conducted 25 semi-structured interviews in Kiswahili with junior, mid-level, and senior RMNCH&N decision-makers working in Tanzanian government institutions. We used snowball sampling to recruit participants with different rank and roles in RMNCH&N decision-making. Using semi-structured interviews, we probed participants on their statistical skills and data use, and asked participants to identify key messages and rank prepared RMNCH&N visualizations. We used a grounded theory approach to organize themes and identify findings.ResultsThe findings suggest that data literacy and statistical skills among RMNCH&N decision-makers in Tanzania varies. Most participants demonstrated awareness of many critical factors that should influence a visualization choice-audience, key message, simplicity-but assessments of data interpretation and preferences suggest that there may be weak knowledge of basic statistics. A majority of decision-makers have not had any statistical training since attending university. There appeared to be some discomfort with interpreting and using visualizations that are not bar charts, pie charts, and maps.ConclusionsDecision-makers must be able to understand and interpret RMNCH&N data they receive to be empowered to act. Addressing inadequate data literacy and presentation skills among decision-makers is vital to bridging gaps between evidence and policymaking. It would be beneficial to host basic data literacy and visualization training for RMNCH&N decision-makers at all levels in Tanzania, and to expand skills on developing key messages from visualizations.

Dataset Information

Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.

Publications

Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.

Similar Datasets

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