Converging global health agendas and universal health coverage: financing whole-of-government action through UHC.

UN member states have committed to universal health coverage (UHC) to ensure all individuals and communities receive the health services they need without suffering financial hardship. Although the pursuit of UHC should unify disparate global health challenges, it is too commonly seen as another standalone initiative with a singular focus on the health sector. Despite constituting the cornerstone of the health-related Sustainable Development Goals, UHC-related commitments, actions, and metrics do not engage with the major drivers and determinants of health, such as poverty, gender inequality, discriminatory laws and policies, environment, housing, education, sanitation, and employment. Given that all countries already face multiple competing health priorities, the global UHC agenda should be used to reconcile, rationalise, prioritise, and integrate investments and multisectoral actions that influence health. In this paper, we call for greater coordination and coherence using a UHC+ lens to suggest new approaches to funding that can extend beyond biomedical health services to include the cross-cutting determinants of health. The proposed intersectoral co-financing mechanisms aim to support the advancement of health for all, regardless of countries' income.

National routine data for low birthweight and preterm births: Systematic data quality assessment for United Nations member states (2000-2020).

OBJECTIVE: Low birthweight (<2500 g) and preterm birth (<37 weeks) are markers of newborn vulnerability. To facilitate informed decisions about investments in prevention and care, it is imperative to enhance data quality and use. Hence, the objective of this study is to systematically assess the quality of data concerning low birthweight and preterm births within routine administrative data sources. DESIGN: Systematic data quality assessment by adopting the WHO Data Quality Framework. SETTING: National routine data system from UN member states. POPULATION: Livebirths. METHODS: National routine administrative data on low birthweight and preterm births for 195 countries from 2000 to 2020 were systematically collated, totalling >700 million live births. The WHO data quality framework was adapted to undertake standardised data quality assessments. MAIN OUTCOME MEASURES: Availability, reporting quality, internal and external consistency of low birthweight and preterm data. RESULTS: Most United States Member States (64%: 124/195) had national data on low birthweight and (40%: 82/195) had data on preterm birth. Routine data system reporting was highest in North America, Australasia and Europe, where more than 95% live births had data on low birthweight and over 75% had data preterm births. In contrast, data reporting was lowest in sub-Saharan Africa (13% for low birthweight, 8% for preterm births) and Southern Asia (16% for low birthweight, 5% for preterm births). Most countries collect individual-level data; but, aggregate data reporting from hospital-based systems remain common in sub-Saharan Africa and Southern Asia. While data quality was generally high in North America, Australasia and Europe, gaps remain in the availability of gestational age metadata. Consistency between low birthweight and preterm rates were poor in Southern Asia and sub-Saharan Africa regions across time. There was high external consistency between low birthweight rates obtained from routine administrative data compared with low birthweight rates obtained from survey data for countries with high data quality. CONCLUSIONS: Sub-Saharan Africa and South Asia countries have data gaps but also opportunities for rapid progress. Most births occure in facilities, electronic health information systems already include low birthweight, and adding accurate gestational age including with ultrasound assessment is becoming increasingly attainable. Moving toward the collection of individual level data would enable monitoring of quality of care and longer-term outcomes. This is crucial for every child and family and essential for measuring progress towards relevant sustainable development goals. The assessment will inform countries' actions for data quality improvement at national level and use of data for impact.

National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis.

BACKGROUND: Preterm birth is the leading cause of neonatal mortality and is associated with long-term physical, neurodevelopmental, and socioeconomic effects. This study updated national preterm birth rates and trends, plus novel estimates by gestational age subgroups, to inform progress towards global health goals and targets, and aimed to update country, regional, and global estimates of preterm birth for 2020 in addition to trends between 2010 and 2020. METHODS: We systematically searched population-based, nationally representative data on preterm birth from Jan 1, 2010, to Dec 31, 2020 and study data (26 March-14 April, 2021) for countries and areas with no national-level data. The analysis included 679 data points (86% nationally representative administrative data [582 of 679 data points]) from 103 countries and areas (62% of countries and areas having nationally representative administrative data [64 of 103 data points]). A Bayesian hierarchical regression was used for estimating country-level preterm rates, which incoporated country-specific intercepts, low birthweight as a covariate, non-linear time trends, and bias adjustments based on a data quality categorisation, and other indicators such as method of gestational age estimation. FINDINGS: An estimated 13·4 million (95% credible interval [CrI] 12·3-15·2 million) newborn babies were born preterm (<37 weeks) in 2020 (9·9% of all births [95% CrI 9·1-11·2]) compared with 13·8 million (12·7-15·5 million) in 2010 (9·8% of all births [9·0-11·0]) worldwide. The global annual rate of reduction was estimated at -0·14% from 2010 to 2020. In total, 55·6% of total livebirths are in southern Asia (26·8% [36 099 000 of 134 767 000]) and sub-Saharan Africa (28·7% [38 819 300 of 134 767 000]), yet these two regions accounted for approximately 65% (8 692 000 of 13 376 200) of all preterm births globally in 2020. Of the 33 countries and areas in the highest data quality category, none were in southern Asia or sub-Saharan Africa compared with 94% (30 of 32 countries) in high-income countries and areas. Worldwide from 2010 to 2020, approximately 15% of all preterm births occurred at less than 32 weeks of gestation, requiring more neonatal care (<28 weeks: 4·2%, 95% CI 3·1-5·0, 567 800 [410 200-663 200 newborn babies]); 28-32 weeks: 10·4% [9·5-10·6], 1 392 500 [1 274 800-1 422 600 newborn babies]). INTERPRETATION: There has been no measurable change in preterm birth rates over the last decade at global level. Despite increasing facility birth rates and substantial focus on routine health data systems, there remain many missed opportunities to improve preterm birth data. Gaps in national routine data for preterm birth are most marked in regions of southern Asia and sub-Saharan Africa, which also have the highest estimated burden of preterm births. Countries need to prioritise programmatic investments to prevent preterm birth and to ensure evidence-based quality care when preterm birth occurs. Investments in improving data quality are crucial so that preterm birth data can be improved and used for action and accountability processes. FUNDING: The Children's Investment Fund Foundation and the UNDP, United Nations Population Fund-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction.

A scoping review, mapping, and prioritisation process for emergency obstetric and neonatal quality of care indicators: Focus on provision and experience of care.

Background: Globally, approximately 800 women and 6400 newborns die around the time of childbirth each day. Many of these deaths could be prevented with high-quality emergency obstetric and newborn care (EmONC). The Monitoring Emergency Obstetric Care: A handbook guides strengthening EmONC services. However, the handbook contains limited quality of care measures. Our study identified and prioritised quality of care indicators for potential inclusion in the handbook, which is undergoing revision. Methods: We conducted a consultative scoping review, mapping, and prioritisation exercise to select a short list of indicators on facility-based maternal and newborn quality of care. Indicators were identified from literature searches and expert suggestions and organised by the categories of structure, process, and outcomes as defined in the World Health Organization's Standards for Improving Quality of Maternal and Newborn Care in Health Facilities. We focused on process indicators, encompassing the provision of care and experience of care during the intrapartum period, and developed a priority list of indicators using the selection criteria of relevance and feasibility. Experience of care indicators were also mapped against the Person-Centered Maternity Care (PCMC) scale. Results: We extracted a total of 3023 quality of care indicators. After removing out-of-scope and duplicate indicators and applying our selection criteria, we identified 20 provision of care indicators for possible inclusion in the revised EmONC handbook. We recommend including a score for experience of care that could be measured with the 30-item or the 13-item PCMC scale. We also identified 29 experience of care items not covered by the PCMC scale that could be used. Provider experience, patient safety, and quality of abortion care were identified as areas for which no or few indicators were found through our scoping review. Conclusions: Through a rigorous, consultative, and multi-step process, we selected a short list of process-related, facility-based quality of care indicators for emergency obstetric and newborn care. This list could be included in the EmONC handbook or used for other monitoring purposes. Country consultations to assess the utility and feasibility of the proposed indicators and their adaptation to local contexts will support their refinement and uptake. Registration: https://osf.io/msxbd (Open Science Framework).

Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting.

Small newborns are vulnerable to mortality and lifelong loss of human capital. Measures of vulnerability previously focused on liveborn low-birthweight (LBW) babies, yet LBW reduction targets are off-track. There are two pathways to LBW, preterm birth and fetal growth restriction (FGR), with the FGR pathway resulting in the baby being small for gestational age (SGA). Data on LBW babies are available from 158 (81%) of 194 WHO member states and the occupied Palestinian territory, including east Jerusalem, with 113 (58%) having national administrative data, whereas data on preterm births are available from 103 (53%) of 195 countries and areas, with only 64 (33%) providing national administrative data. National administrative data on SGA are available for only eight countries. Global estimates for 2020 suggest 13·4 million livebirths were preterm, with rates over the past decade remaining static, and 23·4 million were SGA. In this Series paper, we estimated prevalence in 2020 for three mutually exclusive types of small vulnerable newborns (SVNs; preterm non-SGA, term SGA, and preterm SGA) using individual-level data (2010-20) from 23 national datasets (∼110 million livebirths) and 31 studies in 18 countries (∼0·4 million livebirths). We found 11·9 million (50% credible interval [Crl] 9·1-12·2 million; 8·8%, 50% Crl 6·8-9·0%) of global livebirths were preterm non-SGA, 21·9 million (50% Crl 20·1-25·5 million; 16·3%, 14·9-18·9%) were term SGA, and 1·5 million (50% Crl 1·2-4·2 million; 1·1%, 50% Crl 0·9-3·1%) were preterm SGA. Over half (55·3%) of the 2·4 million neonatal deaths worldwide in 2020 were attributed to one of the SVN types, of which 73·4% were preterm and the remainder were term SGA. Analyses from 12 of the 23 countries with national data (0·6 million stillbirths at ≥22 weeks gestation) showed around 74% of stillbirths were preterm, including 16·0% preterm SGA and approximately one-fifth of term stillbirths were SGA. There are an estimated 1·9 million stillbirths per year associated with similar vulnerability pathways; hence integrating stillbirths to burden assessments and relevant indicators is crucial. Data can be improved by counting, weighing, and assessing the gestational age of every newborn, whether liveborn or stillborn, and classifying small newborns by the three vulnerability types. The use of these more specific types could accelerate prevention and help target care for the most vulnerable babies.

Associations between self-reported obstetric complications and experience of care: a secondary analysis of survey data from Ghana, Kenya, and India.

BACKGROUND: Although several indicators have been proposed to measure women's experience of care in health facilities during the intrapartum period, it is unknown if these indicators perform differently in the context of obstetric emergencies. We examined the relationship between experience of care indicators from the Person-Centered Maternity Care (PCMC) scale and obstetric complications. METHODS: We used data from four cross-sectional surveys conducted in Kenya (rural: N = 873; urban: N = 531), Ghana (N = 531), and India (N = 2018) between August 2016 and October 2017. The pooled sample included 3953 women aged 15-49 years who gave birth within 9 weeks prior to the survey. Experience of care was measured using the PCMC scale. Univariate, bivariate, and multivariable analyses were conducted to examine the associations between the composite and 31 individual PCMC indicators with (1) obstetric complications; (2) severity of complications; and (3) delivery by cesarean section (c-section). RESULTS: 16% (632) of women in the pooled sample reported obstetric complications; and 4% (132) reported having given birth via c-Sect. (10.5% among those with complications). The average standardized PCMC scores (range 0-100) were 63.5 (SD = 14.1) for the full scale, 43.2 (SD = 20.6) for communication and autonomy, 67.8 (SD = 14.1) for supportive care, and 80.1 (SD = 18.2) for dignity and respect sub-scales. Women with complications had higher communication and autonomy scores (45.6 [SD = 20.2]) on average compared to those without complications (42.7 [SD = 20.6]) (p < 0.001), but lower supportive care scores, and about the same scores for dignity and respect and for the overall PCMC. 18 out of 31 experience of care indicators showed statistically significant differences by complications, but the magnitudes of the differences were generally small, and the direction of the associations were inconsistent. In general, women who delivered by c-section reported better experiences. CONCLUSIONS: There is insufficient evidence based on our analysis to suggest that women with obstetric complications report consistently better or worse experiences of care than women without. Women with complications appear to experience better care on some indicators and worse care on others. More studies are needed to understand the relationship between obstetric complications and women's experience of care and to explore why women who deliver by c-section may report better experience of care.

In several studies and reports, women have described mistreatment by health providers during childbirth in health facilities. Particularly in low- and middle-income countries, such mistreatment has negative effects on women's decisions to seek maternity care in health facilities. It is unclear if women with complications are more or less likely to experience some forms of mistreatment compared to women without complications. In this study, we examined 31 experience of care indicators in three domains: (1) Supportive Care; (2) Respect and Dignity; and (3) Communication and Autonomy from the validated Person-Centered Maternity Care (PCMC) questionnaire. We compare these experience of care indicators between women who report obstetric complications and those who don't report complications, by the reported severity of the complications, and by their mode of delivery. The study included data from three countries: Ghana, Kenya, and India. The results showed that the experience of care among women who reported obstetric complications was not consistently better or worse than that of those who did not have complications. Therefore, efforts should be made to improve the experience of care in health facilities for every birthing woman. Additionally, women who delivered via c-section had consistently better experiences than women who delivered vaginally. More studies are needed to understand the relationship between mode of delivery and women's experience of care.

Detecting Depression and Anxiety Among Adolescents in South Africa: Validity of the isiXhosa Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7.

PURPOSE: Screening tools such as the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) could potentially be used in resource-limited settings to identify adolescents who need mental health support. We examined the criterion validity of the isiXhosa versions of the PHQ-9 and GAD-7 in detecting depression and anxiety among adolescents (10-19 years) in South Africa. METHODS: Adolescents were recruited from the general population and from nongovernmental organizations working with adolescents in need of mental health support. The PHQ-9 and GAD-7 were culturally adapted and translated into isiXhosa and administered to 302 adolescents (56.9% female). The Kiddie Schedule for Affective Disorders and Schizophrenia was administered by trained clinicians as the gold standard diagnostic measure for depression and anxiety. RESULTS: For the PHQ-9, the area under the curve was 0.88 for the full sample of adolescents (10-19 years old). A score of ≥10 had 91% sensitivity and 76% specificity for detecting adolescents with depression. For the GAD-7, the area under the curve was 0.78, and cutoff scores with an optimal sensitivity-specificity balance were low (≥6). A score of ≥6 had 67% sensitivity and 75% specificity for detecting adolescents with anxiety. DISCUSSION: The culturally adapted isiXhosa version of the PHQ-9 can be used as a valid measure for depression in adolescents. Further research on the GAD-7 for use with adolescents is recommended.

Toward a Demand-Driven, Collaborative Data Agenda for Adolescent Mental Health.

PURPOSE: Existing datasets and research in the field of adolescent mental health do not always meet the needs of practitioners, policymakers, and program implementers, particularly in the context of vulnerable populations. Here, we introduce a collaborative, demand-driven methodology for the development of a strategic adolescent mental health research agenda. Ultimately, this agenda aims to guide future data sharing and collection efforts that meet the most pressing data needs of key stakeholders. METHODS: We conducted a rapid literature search to summarize common themes in adolescent mental health research into a "topic map". We then hosted two virtual workshops with a range of international experts to discuss the topic map and identify shared priorities for future collaboration and research. RESULTS: Our topic map identifies 10 major themes in adolescent mental health, organized into system-level, community-level, and individual-level categories. The engagement of cross-sectoral experts resulted in the validation of the mapping exercise, critical insights for refining the topic map, and a collaborative list of priorities for future research. DISCUSSION: This innovative agile methodology enables a focused deliberation with diverse stakeholders and can serve as the starting point for data generation and collaboration practices, both in the field of adolescent mental health and other topics.

Translation and Adaptation of the Revised Children's Anxiety and Depression Scale: A Qualitative Study in Belize.

BACKGROUND: Adapting data collection instruments using transcultural translation and adaptation processes is essential to ensure that respondents comprehend the items and the original meaning is retained across languages and contexts. This approach is central to UNICEF's efforts to expand the use of standard data collection tools across settings and close the global data gap on adolescent mental health. METHODS: We conducted transcultural translation and adaptation processes in Belize using the Revised Children's Anxiety and Depression Scale (RCADS). Items from the original scale were translated into Belizean English and Kriol, reviewed by local mental health experts, and discussed in focus groups. Cognitive interviews were conducted with adolescents and parents. The information collected was analyzed with cultural equivalence domains: comprehensibility, acceptability, relevance, completeness, and technical equivalence. Bilingual discussions of findings informed the final item wordings, and the adapted tool was back-translated. RESULTS: Adaptation of terms and specific expressions were done to improve comprehensibility and to ensure the appropriate clinical meaning. For example, the expression 'feeling scared' was perceived to imply immaturity or threaten masculinity and was adapted to 'feeling afraid.' Expressions like "shaky" were modified to "trimble" in Kriol. Statements were reworded as questions to enhance acceptability and comprehensibility. DISCUSSION: A culturally adapted version of the RCADS was developed for use among adolescents in Belize in Belizean English and Kriol. The transcultural translation and adaptation procedure can be applied for other settings or tools to design contextual adaptations of mental health instruments prior to their validation or use in new settings.

Measurement of Mental Health Among Adolescents at the Population Level: A Multicountry Protocol for Adaptation and Validation of Mental Health Measures.

PURPOSE: Mental disorders are among the leading causes of disability among adolescents aged 10-19 years. However, data on prevalence of mental health conditions are extremely sparse across low- and middle-income countries, even though most adolescents live in these settings. This data gap is further exacerbated because few brief instruments for adolescent mental health are validated in these settings, making population-level measurement of adolescent mental health especially cumbersome to carry out. In response, the UNICEF has undertaken the Measurement of Mental Health Among Adolescents at the Population Level (MMAP) initiative, validating open-access brief measures and encouraging data collection in this area. METHODS: This protocol presents the MMAP mixed-methods approach for cultural adaptation and clinical validation of adolescent mental health data collection tools across settings. Qualitative activities include an initial translation and adaptation, review by mental health experts, focus-group discussions with adolescents, cognitive interviews, synthesis of findings, and back-translation. An enriched sample of adolescents with mental health problems is then interviewed with the adapted tool, followed by gold-standard semistructured diagnostic interviews. RESULTS: The study protocol is being implemented in Belize, Kenya, Nepal, and South Africa and includes measures for anxiety, depression, functional limitations, suicidality, care-seeking, and connectedness. Analyses, including psychometrics, will be conducted individually by country and combined across settings to assess the MMAP methodological process. DISCUSSION: This protocol contributes to closing the data gap on adolescent mental health conditions by providing a rigorous process of cross-cultural adaptation and validation of data collection approaches.

Validation of the Kriol and Belizean English Adaptation of the Revised Children's Anxiety and Depression Scale for Use With Adolescents in Belize.

PURPOSE: To validate a culturally-adapted Kriol and Belizean English version of the Revised Children's Anxiety and Depression Scale (RCADS) through comparison with clinical diagnoses made using the Kiddie Schedule of Affective Disorders and Schizophrenia. METHODS: Participants comprised of 256 adolescents aged 10-14 years and 15-19 years, who completed the adapted RCADS (10 depression items, 12 anxiety items) in one-on-one interviews, followed by a diagnostic assessment using Kiddie Schedule of Affective Disorders and Schizophrenia administered by trained clinicians. Sensitivity, specificity, positive predictive value, negative predictive value, diagnostic odds ratios, area under the curve (AUC), and Youden's Index were calculated for RCADS cutoffs and scores on the total scale and anxiety and depression subscales. RESULTS: For adolescents aged 10-14 years (n = 161), the AUC was 0.72 for the full scale, 0.67 for anxiety subscale, and 0.76 for depression subscale. For adolescents aged 15-19 years (n = 95), the AUCs were 0.82, 0.77, and 0.83. Most depression items performed well in discriminating those with and without diagnoses. Separation anxiety items performed poorly. "Thoughts of death" were common even among adolescents not meeting diagnostic criteria. The RCADS depression subscale presented the strongest psychometric properties with adolescents aged 15-19 years (at cutoff of 13, sensitivity = 0.83, specificity = 0.77, positive predictive value = 0.47, negative predictive value = 0.95, odds ratio = 15.96). CONCLUSION: The adapted RCADS-22 had acceptable categorization for adolescents aged 10-14 years and excellent categorization for adolescents aged 15-19 years; therefore, the tool is recommended for use among the latter age group. Based on sensitivity and specificity values at different cutoffs, guidance is provided to select different thresholds to suit clinical, public health, or other uses to detect and quantify adolescent depression and anxiety in Belize.