Explore the vast range of titles available.

Background Women’s childbirth experience can have immediate as well as long-term positive or negative effects on their life, well-being and health. When evaluating and drawing conclusions from research results, women’s experiences of childbirth should be one aspect to consider. Researchers and clinicians need help in finding and selecting the most suitable instrument for their purpose. The aim of this study was therefore to systematically identify and present validated instruments measuring women’s childbirth experience. Methods A systematic review was conducted in January 2016 with a comprehensive search in the bibliographic databases PubMed, CINAHL, Scopus, The Cochrane Library and PsycINFO. Included instruments measured women’s childbirth experiences. Papers were assessed independently by two reviewers for inclusion, and quality assessment of included instruments was made by two reviewers independently and in pairs using Terwee et al’s criteria for evaluation of psychometric properties. Results In total 5189 citations were screened, of which 5106 were excluded by title and abstract. Eighty-three full-text papers were reviewed, and 37 papers were excluded, resulting in 46 included papers representing 36 instruments. These instruments demonstrated a wide range in purpose and content as well as in the quality of psychometric properties. Conclusions This systematic review provides an overview of existing instruments measuring women’s childbirth experiences and can support researchers to identify appropriate instruments to be used, and maybe adapted, in their specific contexts and research purpose.

Background: A woman's satisfaction with childbirth services can have a significant impact on her mental health and ability to bond with her neonate. Knowing postnatal women's opinions and satisfaction with services makes the services more women-friendly. Indian women's satisfaction with childbirth services has been explored qualitatively, or by using non-standard local questionnaires, but scientific data gathered with standardised questionnaires are extremely limited. Objective: To measure postnatal Indian women's satisfaction with childbirth services at selected public health facilities in Chhattisgarh, India. Methods: Cross-sectional survey using consecutive sampling (n = 1004) was conducted from March to May 2015. Hindi-translated and validated versions of the Scale for Measuring Maternal Satisfaction for Vaginal Births (VB) and Caesarean Births (CB) were used for data collection. Results: Although most of the women (VB 68.7%; CB 79.2%) were satisfied with the overall childbirth services received, those who had VB were least satisfied with the processes around meeting their neonates (mean subscale score 1.8, SD 1.3), while women having CB were least satisfied with postpartum care received (mean subscale score 2.7, SD 1.2). Regression analyses revealed that among women having VB, interacting with care providers, being able to maintain privacy, and being free from fear of childbirth had a positive influence on overall satisfaction with the childbirth. Among women having CB, earning their own salary and having a positive perception of self-health had associations with overall birth satisfaction. Conclusions: Improving interpersonal interaction with nurse-midwives, and ensuring privacy during childbirth and hospital stay, are recommended first steps to improve women's childbirth satisfaction, until the supply gap is eliminated.

Under-five and maternal mortality were halved in the Millennium Development Goals (MDG) era, with slower reductions for 2.6 million neonatal deaths and 2.6 million stillbirths. The Every Newborn Action Plan aims to accelerate progress towards national targets, and includes an ambitious Measurement Improvement Roadmap. Population-based household surveys, notably Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys, are major sources of population-level data on child mortality in countries with weaker civil registration and vital statistics systems, where over two-thirds of global child deaths occur. To estimate neonatal/child mortality and pregnancy outcomes (stillbirths, miscarriages, birthweight, gestational age) the most common direct methods are: (1) the standard DHS-7 with Full Birth History with additional questions on pregnancy losses in the past 5 years (FBH ) or (2) a Full Pregnancy History (FPH). No direct comparison of these two methods has been undertaken, although descriptive analyses suggest that the FBH may underestimate mortality rates particularly for stillbirths. This is the protocol paper for the Every Newborn-INDEPTH study (INDEPTH Network, International Network for the Demographic Evaluation of Populations and their Health Every Newborn, Every Newborn Action Plan), aiming to undertake a randomised comparison of FBH and FPH to measure pregnancy outcomes in a household survey in five selected INDEPTH Network sites in Africa and South Asia (Bandim in urban and rural Guinea-Bissau; Dabat in Ethiopia; IgangaMayuge in Uganda; Kintampo in Ghana; Matlab in Bangladesh). The survey will reach >68 000 pregnancies to assess if there is ≥15% difference in stillbirth rates. Additional questions will capture birthweight, gestational age, birth/death certification, termination of pregnancy and fertility intentions. The World Bank's Survey Solutions platform will be tailored for data collection, including recording paradata to evaluate timing. A mixed methods assessment of barriers and enablers to reporting of pregnancy and adverse pregnancy outcomes will be undertaken. This large-scale study is the first randomised comparison of these two methods to capture pregnancy outcomes. Results are expected to inform the evidence base for survey methodology, especially in DHS, regarding capture of stillbirths and other outcomes, notably neonatal deaths, abortions (spontaneous and induced), birthweight and gestational age. In addition, this study will inform strategies to improve health and demographic surveillance capture of neonatal/child mortality and pregnancy outcomes.

BackgroundTo 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.MethodsEN-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.ConclusionsTo 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.

Thermal care of newborns is one of the recommended strategies to reduce hypothermia, which contributes to neonatal morbidity and mortality. However, data on these two topics have not been collected at the national level in many surveys. In this study, we examine two elements of thermal care: drying and delayed bathing of newborns after birth with the objectives of examining how two countries collected such data and then looking at various associations of these outcomes with key characteristics. Further, we examine the data for potential data quality issues as this is one of the first times that such data are available at the national level. We use data from two nationally-representative household surveys: the Malawi Multiple Indicator Cluster Survey 2014 and the Bangladesh Demographic and Health Survey 2014. We conduct descriptive analysis of the prevalence of these two newborn practices by various socio-demographic, economic and health indicators. Our results indicate high levels of immediate drying/drying within 1 hour in Malawi (87%). In Bangladesh, 84% were dried within the first 10 minutes of birth. Bathing practices varied in the two settings; in Malawi, only 26% were bathed after 24 hours but in Bangladesh, 87% were bathed after the same period. While in Bangladesh there were few newborns who were never bathed (less than 5%), in Malawi, over 10% were never bathed. Newborns delivered by a skilled provider tended to have better thermal care than those delivered by unskilled providers. These findings reveal gaps in coverage of thermal care and indicate the need to further develop the role of unskilled providers who can give unspecialized care as a means to improve thermal care for newborns. Further work to harmonize data collection methods on these topics is needed to ensure comparable data across countries.

Frailty is a dynamic process in which there is a reduction in the physical, psychological and/or social function associated with aging. The aim of this study was to identify instruments for the detection of frailty in older adults, characterizing their components, application scenarios, ability to identify pre-frailty and clinimetric properties evaluated. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), under registration number CRD42017039318. A total of 14 electronic sources were searched to identify studies that investigated instruments for the detection of frailty or that presented the construction and/or clinimetric evaluation of the instrument, according to criteria established by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). 96 studies were included in the qualitative synthesis: 51 instruments for the detection of frailty were identified, with predominantly physical domains; 40 were constructed and/or validated for use in the older adult community population, 28 only highlighted the distinction between frail and non-frail individuals and 23 presented three or more levels of frailty. The FRAGIRE, FRAIL Scale, Edmonton Frail Scale and IVCF-20 instruments were the most frequently analyzed in relation to clinimetric properties. It was concluded that: (I) there is a large number of instruments for measuring the same construct, which makes it difficult for researchers and clinicians to choose the most appropriate; (II) the FRAGIRE and CFAI stand out due to their multidimensional aspects, including an environmental assessment; however, (III) the need for standardization of the scales was identified, since the use of different instruments in clinical trials may prevent the comparability of the results in systematic reviews and; (IV) considering the different instruments identified in this review, the choice of researchers/clinicians should be guided by the issues related to the translation and validation for their location and the suitability for their context.

Proper implementation of interventions by health professionals has a critical effect on their effectiveness and the quality of care provided, especially in the case of vulnerable pregnant women. It is important, therefore, to assess the implementation of interventions in care settings to serve as input to improve implementation. The aim of this study is to identify factors that influence the implementation of interventions for vulnerable pregnant women in the North of the Netherlands from the perspective of health professionals. In this region, an intergenerational transfer of poverty is apparent, leading to many health problems and the transfer of unhealthy lifestyles and the associated diseases to subsequent generations. We used a qualitative research design. Semi-structured interviews with 39 health professionals were conducted between February 2019 and April 2020. To analyse the findings, the MIDI (Measurement Instrument for Determinants of Innovations) was used, an instrument designed to identify what determinants influence the actual use of a new or existing innovation. We found two themes that influence the implementation of interventions: 1. The attitude of health professionals towards vulnerable pregnant women: stereotyped remarks and words expressing the homogenization of vulnerable pregnant women. 2. A theme related to the MIDI determinants, under which we added six determinants. Our research showed that many factors influence the implementation of interventions for vulnerable pregnant women, making the optimal implementation of interventions very complex. We highlight the need to challenge stereotypical views and attitudes towards specific groups in order to provide relation-centred care, which is extremely important to provide culturally appropriate care. Health professionals need to reflect on their own significant influence on access to and the use of care by vulnerable groups. They hold the key to creating partnerships with women to obtain the best health for mothers and their babies.

Women's childbirth experience of interpersonal care is a significant aspect of quality of care. Due to the lack of a reliable Cambodian version of a measurement tool to assess person-centered maternity care, the present study aimed to adapt the \"Person-Centered Maternity Care (PCMC) scale\" to the Cambodian context and further determine its psychometric properties. The PCMC scale was translated into Khmer using the team translation approach. The Khmer version of PCMC (Kh-PCMC) scale was pretested among 20 Cambodian postpartum women using cognitive interviewing. Subsequently, the Kh-PCMC scale was administered in a survey with 300 Cambodian postpartum women at two governmental health facilities. According to the COnsensus-based Standards for the Selection of health status Measurement Instruments (COSMIN) standard, we performed psychometric analysis, including content validity, construct validity, criterion validity, cross-cultural validity, and internal consistency. The preliminary processes of Kh-PCMC scale development including cognitive interviewing and expert review ensured appropriate levels of content validity and acceptable levels of cross-cultural validity of the Kh-PCMC scale with four-point frequency responses. The Scale-level Content Validity Index, Average (S-CVI/Avg) of 30-item Kh-PCMC scale was 0.96. Twenty items, however, performed optimally in the psychometric analysis from the data in Cambodia. The 20-item Kh-PCMC scale produced Cronbach's alpha of 0.86 for the full scale and 0.76-0.91 for the subscales, indicating adequately high internal consistency. Hypothesis testing found positive correlations between the 20-item Kh-PCMC scale and reference measures, which implies acceptable criterion validity. The present study produced the Kh-PCMC scale that enables women's childbirth experiences to be quantitatively measured. The Kh-PCMC scale can identify intrapartum needs from women's perspectives for quality improvement in Cambodia. However, dynamic changes in and diverse differences of cultural context over time across provinces in Cambodia require the Kh-PCMC scale to be regularly reexamined and, when needed, to be further adjusted.

Background Green spaces exposure is known to improve health by reducing stress and promoting well-being. However, few studies have explored its prenatal effects on children's health. This study examines the association between maternal prenatal green space exposure and hair cortisol levels in children at 2 years, aiming to understand how early environmental factors may influence development. Methods Participants were selected from an ongoing cohort study, the Longitudinal Examination across Prenatal and Postpartum Health in Taiwan, conducted in five hospitals in Taipei. Women at early prenatal visits and their partners were recruited, with follow-up to 6 years postpartum. Mid-pregnancy and 2-year postpartum data collected between September 2019 and March 2025 were analyzed. Normalized difference vegetation index (NDVI) within 250 to 2000 meters of the residence and hair cortisol concentration (HCC) were used to measure green space exposure and stress levels, respectively. Covariates were measured using self-administered questionnaires. A generalized linear model was used for examination. Results A total of 46 children were included in the analysis. After adjusting for covariates, higher maternal NDVI values during mid-pregnancy were significantly associated with lower HCC within 750 m (β = -0.17, p < 0.05), 1000 m (β = -0.16, p < 0.05), 1500 m (β = -0.18, p < 0.05), and 2000 m (β = -0.20, p < 0.01) buffers, and marginally associated with lower HCC in children within a 500 m buffer (β = -0.16, p < 0.1). Conclusions This study found that higher maternal green space exposure within larger buffer zones during pregnancy was associated with lower HCC in children at 2 years, highlighting the potential stress-buffering effects of prenatal green space exposure and underscoring the importance of natural environments during pregnancy. Key messages • Higher maternal exposure to green spaces during pregnancy is associated with lower stress levels HCC in 2-year-old children, suggesting a potential long-term stress-buffering effect. • Incorporating natural environments into urban planning may support maternal and child health by reducing early-life stress through prenatal green space exposure.

Background There are limited existing approaches to generate estimates from Routine Health Information Systems (RHIS) data, despite the growing interest to these data. We calculated and assessed the consistency of maternal and child health service coverage estimates from RHIS data, using census-based and health service-based denominators in Sierra Leone. Methods We used Sierra Leone 2016 RHIS data to calculate coverage of first antenatal care contact (ANC1), institutional delivery and diphtheria-pertussis-tetanus 3 (DPT3) immunization service provision. For each indicator, national and district level coverages were calculated using denominators derived from two census-based and three health service-based methods. We compared the coverage estimates from RHIS data to estimates from MICS 2017. We considered the agreement adequate when estimates from RHIS fell within the 95% confidence interval of the survey estimate. Results We found an overall poor consistency of the coverage estimates calculated from the census-based methods. ANC1 and institutional delivery coverage estimates from these methods were greater than 100% in about half of the fourteen districts, and only 3 of the 14 districts had estimates consistent with the survey data. Health service-based methods generated better estimates. For institutional delivery coverage, five districts met the agreement criteria using BCG service-based method. We found better agreement for DPT3 coverage estimates using DPT1 service-based method as national coverage was close to survey data, and estimates were consistent for 8 out of 14 districts. DPT3 estimates were consistent in almost half of the districts (6/14) using ANC1 service-based method. Conclusion The study highlighted the challenge in determining an appropriate denominator for RHIS-based coverage estimates. Systematic and transparent data quality check and correction, as well as rigorous approaches to determining denominators are key considerations to generate accurate coverage statistics using RHIS data.