Dataset Information

"Every Newborn-BIRTH" protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania.

ABSTRACT: Background:To achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility births increase, monitoring using routine facility data in DHIS2 has potential, yet validation research has mainly focussed on maternal recall surveys. The Every Newborn - Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aims to validate selected newborn and maternal indicators for routine tracking of coverage and quality of facility-based care for use at district, national and global levels. Methods:EN-BIRTH is an observational study including >20 000 facility births in three countries (Tanzania, Bangladesh and Nepal) to validate selected indicators. Direct clinical observation will be compared with facility register data and a pre-discharge maternal recall survey for indicators including: uterotonic administration, immediate newborn care, neonatal resuscitation and Kangaroo mother care. Indicators including neonatal infection management and antenatal corticosteroid administration, which cannot be easily observed, will be validated using inpatient records. Trained clinical observers in Labour/Delivery ward, Operation theatre, and Kangaroo mother care ward/areas will collect data using a tablet-based customised data capturing application. Sensitivity will be calculated for numerators of all indicators and specificity for those numerators with adequate information. Other objectives include comparison of denominator options (ie, true target population or surrogates) and quality of care analyses, especially regarding intervention timing. Barriers and enablers to routine recording and data usage will be assessed by data flow assessments, quantitative and qualitative analyses. Conclusions:To our knowledge, this is the first large, multi-country study validating facility-based routine data compared to direct observation for maternal and newborn care, designed to provide evidence to inform selection of a core list of indicators recommended for inclusion in national DHIS2. Availability and use of such data are fundamental to drive progress towards ending the annual 5.5 million preventable stillbirths, maternal and newborn deaths.

SUBMITTER: Day LT

PROVIDER: S-EPMC6406050 | biostudies-other | 2019 Jun

REPOSITORIES: biostudies-other

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"<i>Every Newborn</i>-BIRTH" protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania.

Day Louise T LT Ruysen Harriet H Gordeev Vladimir S VS Gore-Langton Georgia R GR Boggs Dorothy D Cousens Simon S Moxon Sarah G SG Blencowe Hannah H Baschieri Angela A Rahman Ahmed Ehsanur AE Tahsina Tazeen T Zaman Sojib Bin SB Hossain Tanvir T Rahman Qazi Sadeq-Ur QS Ameen Shafiqul S El Arifeen Shams S Kc Ashish A Shrestha Shree Krishna SK Kc Naresh P NP Singh Dela D Jha Anjani Kumar AK Jha Bijay B Rana Nisha N Basnet Omkar O Joshi Elisha E Paudel Asmita A Shrestha Parashu Ram PR Jha Deepak D Bastola Ram Chandra RC Ghimire Jagat Jeevan JJ Paudel Rajendra R Salim Nahya N Shamb Donat D Manji Karim K Shabani Josephine J Shirima Kizito K Mkopi Namala N Mrisho Mwifadhi M Manzi Fatuma F Jaribu Jennie J Kija Edward E Assenga Evelyne E Kisenge Rodrick R Pembe Andrea A Hanson Claudia C Mbaruku Godfrey G Masanja Honorati H Amouzou Agbessi A Azim Tariq T Jackson Debra D Kabuteni Theopista John TJ Mathai Matthews M Monet Jean-Pierre JP Moran Allisyn A Ram Pavani P Rawlins Barbara B Sæbø Johan Ivar JI Serbanescu Florina F Vaz Lara L Zaka Nabila N Lawn Joy E JE

Journal of global health 20190601 1

<h4>Background</h4>To achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility birt ...[more]

PMID: 30863542

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Project description:BackgroundThe persistence of preventable maternal and newborn deaths highlights the importance of quality of care as an essential element in coverage interventions. Moving beyond the conventional measurement of crude coverage, we estimated effective coverage of facility delivery by adjusting for facility preparedness to provide delivery services in Bangladesh, Haiti, Malawi, Nepal, Senegal, and Tanzania.MethodsThe study uses data from Demographic and Health Surveys (DHS) and Service Provision Assessments (SPA) in Bangladesh (2014 DHS and 2014 SPA), Haiti (2012 DHS and 2013 SPA), Malawi (2015-16 DHS and 2013-14 SPA), Nepal (2016 DHS and 2015 SPA), Senegal (2016 DHS and 2015 SPA), and Tanzania (2015-16 DHS and 2014-15 SPA). We defined effective coverage as the mathematical product of crude coverage and quality of care. The coverage of facility delivery was measured with DHS data and quality of care was measured with facility data from SPA. We estimated effective coverage at both the regional and the national level and accounted for type of facility where delivery care was sought.FindingsThe findings from the six countries indicate the effective coverage ranges from 24% in Haiti to 66% in Malawi, representing substantial reductions (20% to 39%) from crude coverage rates. Although Malawi has achieved almost universal coverage of facility delivery (93%), effective coverage was only 66%.vSuch gaps between the crude coverage and the effective coverage suggest that women delivered in health facility but did not necessarily receive an adequate quality of care. In all countries except Malawi, effective coverage differed substantially among the country's regions of the country, primarily due to regional variability in coverage.InterpretationOur findings reinforce the importance of quality of obstetric and newborn care to achieve further reduction of maternal and newborn mortality. Continued efforts are needed to increase the use of facility delivery service in countries or regions where coverage remains low.

Project description:BackgroundThe intrapartum period is a time of high mortality risk for newborns and mothers. Numerous interventions exist to minimize risk during this period. Data on intervention coverage are needed for health system improvement. Maternal report of intrapartum interventions through surveys is the primary source of coverage data, but they may be invalid or unreliable.MethodsWe assessed the reliability of maternal report of delivery and immediate newborn care for a sample of home and health facility births in Sarlahi, Nepal. Mothers were visited as soon as possible following delivery (< 72 h) and asked to report circumstances of labor and delivery. A subset was revisited 1-24 months after delivery and asked to recall interventions received using standard household survey questions. We assessed the reliability of each indicator by comparing what mothers reported immediately after delivery against what they reported at the follow-up survey. We assessed potential variation in reliability of maternal report by characteristics of the mother, birth event, or intervention prevalence.ResultsOne thousand five hundred two mother/child pairs were included in the reliability study, with approximately half of births occurring at home. A higher proportion of women who delivered in facilities reported "don't know" when asked to recall specific interventions both initially and at follow-up. Most indicators had high observed percent agreement, but kappa values were below 0.4, indicating agreement was primarily due to chance. Only "received any injection during delivery" demonstrated high reliability among all births (kappa: 0.737). The reliability of maternal report was typically lower among women who delivered at a facility. There was no difference in reliability based on time since birth of the follow-up interview. We observed over-reporting of interventions at follow-up that were more common in the population and under-reporting of less common interventions.ConclusionsThis study reinforces previous findings that mothers are unable to report reliably on many interventions within the peripartum period. Household surveys which rely on maternal report, therefore, may not be an appropriate method for collecting data on coverage of many interventions during the peripartum period. This is particularly true among facility births, where many interventions may occur without the mother's full knowledge.

Project description:BackgroundRespectful maternal and newborn care (RMNC) is an important component of high-quality care but progress is impeded by critical measurement gaps for women and newborns. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study was an observational study with mixed methods assessing measurement validity for coverage and quality of maternal and newborn indicators. This paper reports results regarding the measurement of respectful care for women and newborns.MethodsAt one EN-BIRTH study site in Pokhara, Nepal, we included additional questions during exit-survey interviews with women about their experiences (July 2017-July 2018). The questionnaire was based on seven mistreatment typologies: Physical; Sexual; or Verbal abuse; Stigma/discrimination; Failure to meet professional standards of care; Poor rapport between women and providers; and Health care denied due to inability to pay. We calculated associations between these typologies and potential determinants of health - ethnicity, age, sex, mode of birth - as possible predictors for reporting poor care.ResultsAmong 4296 women interviewed, none reported physical, sexual, or verbal abuse. 15.7% of women were dissatisfied with privacy, and 13.0% of women reported their birth experience did not meet their religious and cultural needs. In descriptive analysis, adjusted odds ratios and multivariate analysis showed primiparous women were less likely to report respectful care (β = 0.23, p-value < 0.0001). Women from Madeshi (a disadvantaged ethnic group) were more likely to report poor care (β = - 0.34; p-value 0.037) than women identifying as Chettri/Brahmin. Women who had caesarean section were less likely to report poor care during childbirth (β = - 0.42; p-value < 0.0001) than women with a vaginal birth. However, babies born by caesarean had a 98% decrease in the odds (aOR = 0.02, 95% CI, 0.01-0.05) of receiving skin-to-skin contact than those with vaginal births.ConclusionsMeasurement of respectful care at exit interview after hospital birth is challenging, and women generally reported 100% respectful care for themselves and their baby. Specific questions, with stratification by mode of birth, women's age and ethnicity, are important to identify those mistreated during care and to prioritise action. More research is needed to develop evidence-based measures to track experience of care, including zero separation for the mother-newborn pair, and to improve monitoring.

Project description:Tracking progress towards global newborn health targets depends largely on maternal reported data collected through large, nationally representative surveys. We evaluated the validity, across a range of recall period lengths (1 to 24 months post-delivery), of maternal report of birthweight, birth size and length of pregnancy.We compared maternal reports to reference standards of birthweights measured within 72 hours of delivery and gestational age generated from reported first day of the last menstrual period (LMP) prospectively collected as part of a population-based study (n?=?1502). We calculated sensitivity, specificity, area the under the receiver operating curve (AUC) as a measure of individual-level accuracy, and the inflation factor (IF) to quantify population-level bias for each indicator. We assessed if length of recall period modified accuracy by stratifying measurements across time bins and using a modified Poisson regression with robust error variance to estimate the relative risk (RR) of correctly classifying newborns as low birthweight (LBW) or preterm, adjusting for child sex, place of delivery, maternal age, maternal education, parity, and ethnicity.The LBW indicator using maternally reported birthweight in grams had low individual-level accuracy (AUC?=?0.69) and high population-level bias (inflation factor IF?=?0.62). LBW using maternally reported birth size and the preterm birth indicator had lower individual-level accuracy (AUC?=?0.58 and 0.56, respectively) and higher population-level bias (IF?=?0.28 and 0.35, respectively) up to 24 months following birth. Length of recall time did not affect accuracy of LBW indicators. For the preterm birth indicator, accuracy did not change with length of recall up to 20 months after birth and improved slightly beyond 20 months.The use of maternal reports may underestimate and bias indicators for LBW and preterm birth. In settings with high prevalence of LBW and preterm births, these indicators generated from maternal reports may be more vulnerable to misclassification. In populations where an important proportion of births occur at home or where weight is not routinely measured, mothers perhaps place less importance on remembering size at birth. Further work is needed to explore whether these conclusions on the validity of maternal reports hold in similar rural and low-income settings.

Project description:BackgroundIn Tanzania, maternal and newborn deaths can be prevented via quality facility-based antenatal care (ANC), delivery, and postnatal care (PNC). Scalable, integrated, and comprehensive interventions addressing demand and service-side care-seeking barriers are needed.ObjectiveAssess coverage survey indicators before and after a comprehensive maternal newborn health (MNH) intervention in Misungwi District, Tanzania.MethodsA prospective, single-arm, pre- (2016) and post-(2019) coverage survey (ClinicalTrials.gov #NCT02506413) was used to assess key maternal and newborn health (MNH) outcomes. The Mama na Mtoto intervention included district activities (planning, leadership training, supportive supervision), health facility activities (training, equipment, infrastructure upgrades), and plus community health worker mobilization. Implementation change strategies, a process model, and a motivational framework incorporated best practices from a similar Ugandan intervention. Cluster sampling randomized hamlets then used 'wedge sampling' protocol as an alternative to full household enumeration. Key outcomes included: four or more ANC visits (ANC4+); skilled birth attendant (SBA); PNC for mother within 48 hours (PNC-woman); health facility delivery (HFD); and PNC for newborn within 48 hours (PNC-baby). Trained interviewers administered the 'Real Accountability: Data Analysis for Results Coverage Survey to women 15-49 years old. Descriptive statistics incorporated design effect; the Lives Saved Tool estimated deaths averted based on ANC4+/HFD.ResultsBetween baseline (n = 2,431) and endline (n = 2,070), surveys revealed significant absolute percentage increases for ANC4+ (+11.6, 95% CI [5.4, 17.7], p < 0.001), SBA (+16.6, 95% CI [11.1, 22.0], p < 0.001), PNC-woman (+9.2, 95% CI [3.2, 15.2], p = 0.002), and HFD (+17.2%, 95% CI [11.3, 23.1], p < 0.001). A PNC-baby increase (+6.1%, 95% CI [-0.5, 12.8], p = 0.07) was not statistically significant. An estimated 121 neonatal and 20 maternal lives were saved between 2016 and 2019.ConclusionsFull-district scale-up of a comprehensive MNH package embedded government health system was successfully implemented over a short time and associated with significant maternal care-seeking improvements and potential for lives saved.

Project description:BackgroundPopulation-based household surveys, notably the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), remain the main source of maternal and newborn health data for many low- and middle-income countries. As part of the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study, this paper focuses on testing validity of measurement of maternal and newborn indicators around the time of birth (intrapartum and postnatal) in survey-report.MethodsEN-BIRTH was an observational study testing the validity of measurement for selected maternal and newborn indicators in five secondary/tertiary hospitals in Bangladesh, Nepal and Tanzania, conducted from July 2017 to July 2018. We compared women's report at exit survey with the gold standard of direct observation or verification from clinical records for women with vaginal births. Population-level validity was assessed by validity ratios (survey-reported coverage: observer-assessed coverage). Individual-level accuracy was assessed by sensitivity, specificity and percent agreement. We tested indicators already in DHS/MICS as well as indicators with potential to be included in population-based surveys, notably the first validation for small and sick newborn care indicators.Results33 maternal and newborn indicators were evaluated. Amongst nine indicators already present in DHS/MICS, validity ratios for baby dried or wiped, birthweight measured, low birthweight, and sex of baby (female) were between 0.90-1.10. Instrumental birth, skin-to-skin contact, and early initiation of breastfeeding were highly overestimated by survey-report (2.04-4.83) while umbilical cord care indicators were massively underestimated (0.14-0.22). Amongst 24 indicators not currently in DHS/MICS, two newborn contact indicators (kangaroo mother care 1.00, admission to neonatal unit 1.01) had high survey-reported coverage amongst admitted newborns and high sensitivity. The remaining indicators did not perform well and some had very high "don't know" responses.ConclusionsOur study revealed low validity for collecting many maternal and newborn indicators through an exit survey instrument, even with short recall periods among women with vaginal births. Household surveys are already at risk of overload, and some specific clinical care indicators do not perform well and may be under-powered. Given that approximately 80% of births worldwide occur in facilities, routine registers should also be explored to track coverage of key maternal and newborn health interventions, particularly for clinical care.

Project description:BackgroundPersistent inequities in coverage of maternal and newborn health (MNH) services continue to pose a major challenge to the health-care system in Nepal. This paper uses a novel composite indicator of intersectional (dis) advantages to examine how different (in) equity markers intersect to create (in) equities in contact coverage of MNH services across the continuum of care (CoC) in Nepal.MethodsA secondary analysis was conducted among 1978 women aged 15-49 years who had a live birth in the two years preceding the survey. Data were derived from the Nepal Demographic and Health Survey (NDHS) 2016. The three outcome variables included were 1) at least four antenatal care (4ANC) visits, 2) institutional delivery, and 3) postnatal care (PNC) consult for newborns and mothers within 48 h of childbirth. Independent variables were wealth status, education, ethnicity, languages, residence, and marginalisation status. Intersectional (dis) advantages were created using three socioeconomic variables (wealth status, level of education and ethnicity of women). Binomial logistic regression analysis was employed to identify the patterns of (in) equities in contact coverage of MNH services across the CoC.ResultsThe contact coverage of 4ANC visits, institutional delivery, and PNC visit was 72, 64, and 51% respectively. Relative to women with triple disadvantage, the odds of contact coverage of 4ANC visits was more than five-fold higher (Adjusted Odds Ratio (aOR) = 5.51; 95% CI: 2.85, 10.64) among women with triple forms of advantages (literate and advantaged ethnicity and higher wealth status). Women with triple advantages were seven-fold more likely to give birth in a health institution (aOR = 7.32; 95% CI: 3.66, 14.63). They were also four times more likely (aOR = 4.18; 95% CI: 2.40, 7.28) to receive PNC visit compared to their triple disadvantaged counterparts.ConclusionsThe contact coverage of routine MNH visits was low among women with social disadvantages and lowest among women with multiple forms of socioeconomic disadvantages. Tracking health service coverage among women with multiple forms of (dis) advantage can provide crucial information for designing contextual and targeted approaches to actions towards universal coverage of MNH services and improving health equity.

Project description:BACKGROUND:A variety of global-level monitoring initiatives have recommended indicators for tracking progress in maternal and newborn health. As a first step supporting the work of WHO's Mother and Newborn Information for Tracking Outcomes and Results (MoNITOR) Technical Advisory Group, we aimed to compile and synthesize recommended indicators in order to document the landscape of maternal and newborn measurement and monitoring. METHODS:We conducted a scoping review of indicators proposed by global multi-stakeholder groups to suggest next steps to further support maternal and newborn measurement and monitoring. Indicators pertaining to pregnancy, childbirth, and postpartum/postnatal and newborn care were extracted and included in the indicator compilation, together with key indicator metadata. We examined patterns and relationships across the compiled indicators. RESULTS:We identified 140 indicators linked to maternal and newborn health topics across the continuum of service provision. Fifty-five indicators relate to inputs and processes, 30 indicators relate to outputs, outcomes comprise 37 indicators in the database, and 18 impact indicators. A quarter of indicators proposed by global groups is either under development/discussion or is considered "aspirational", highlighting the currently evolving monitoring landscape. Although considerable efforts have been made to harmonize indicator recommendations, there are still relatively few indicators shared across key monitoring initiatives and some of those that are shared may have definitional variation. CONCLUSION:Rapid, wide-ranging work by a number of multi-stakeholder groups has resulted in a substantial number of indicators, many of which partially overlap and many are not supported with adequate documentation or guidance. The volume of indicators, coupled with the number of initiatives promoting different indicator lists, highlight the need for strengthened coordination and technical leadership to harmonize recommendations for improved measurement and monitoring of data related to maternal and newborn heath.

Project description:BackgroundAntenatal care (ANC) visits, institutional delivery, and postnatal care (PNC) visits are vital to improve the health of mothers and newborns. Despite improved access to these routine maternal and newborn health (MNH) services in Nepal, little is known about the cascade of health service coverage, particularly contact coverage, intervention-specific coverage, and quality-adjusted coverage of MNH services. This study examined the cascade of MNH services coverage, as well as social determinants associated with uptake of quality MNH services in Nepal.MethodsWe conducted a secondary analysis of data derived from the Nepal Demographic and Health Survey (NDHS) 2016, taking 1978 women aged 15-49 years who had a live birth in the 2 years preceding the survey. Three outcome variables were (i) four or more (4+) ANC visits, (ii) institutional delivery, and (iii) first PNC visit for mothers and newborns within 48 h of childbirth. We applied a cascade of health services coverage, including contact coverage, intervention-specific and quality-adjusted coverage, using a list of specific intervention components for each outcome variable. Several social determinants of health were included as independent variables to identify determinants of uptake of quality MNH services. We generated a quality score for each outcome variable and dichotomised the scores into two categories of "poor" and "optimal" quality, considering > 0.8 as a cut-off point. Binomial logistic regression was conducted and odds ratios (OR) were reported with 95% confidence intervals (CIs) at the significance level of p < 0.05 (two-tailed).ResultsContact coverage was higher than intervention-specific coverage and quality-adjusted coverage across all MNH services. Women with advantaged ethnicities or who had access to bank accounts had higher odds of receiving optimal quality MNH services, while women who speak the Maithili language and who had high birth order (≥ 4) had lower odds of receiving optimal quality ANC services. Women who received better quality ANC services had higher odds of receiving optimal quality institutional delivery. Women received poor quality PNC services if they were from remote provinces, had higher birth order and perceived problems when not having access to female providers.ConclusionsWomen experiencing ethnic and social disadvantages, and from remote provinces received poor quality MNH services. The quality-adjusted coverage can be estimated using household survey data, such as demographic and health surveys, especially in countries with limited routine data. Policies and programs should focus on increasing quality of MNH services and targeting disadvantaged populations and those living in remote areas. Ensuring access to female health providers and improving the quality of earlier maternity visits could improve the quality of health care during the pregnancy-delivery-postnatal period.

Dataset Information

"Every Newborn-BIRTH" protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania.

Publications

"<i>Every Newborn</i>-BIRTH" protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania.

Similar Datasets

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