Canada and the United States (USA) are top destinations for women travelling abroad for childbirth. However, end-to-end experiences of non-resident women travelling to seek childbirth and birthright citizenship in these destination countries are not fully understood, more so amongst Nigerian women, amongst whom the practice is particularly common. This study sought to address this gap in the literature. Twenty-five Nigerian women who had children in Canada or the USA were recruited via social media. In-depth interviews were conducted remotely, audio-recorded, transcribed, and analysed thematically. Five key themes emerged from this study including that the experience of visa application to travel abroad for childbirth was mixed; and the travel itself has recognised risks and can be stressful. Further, being pregnant did not mean women were treated well when they arrived at the entry port in the destination country. However, childbirth abroad was highly satisfactory for most, and obtaining birth certificates and passports for the babies was generally straightforward. Our findings underscore the necessity of clarifying the legality of seeking childbirth abroad and birthright citizenship. If deemed legal, the voices of women who opt to travel abroad for childbirth need to be elevated, their vulnerability recognised, and the quality of care they receive guaranteed.

IntroductionHealth insurance is a key instrument for a health system on its path to achieving universal health coverage (UHC) and protects individuals from catastrophic health expenditures, especially in health emergencies. However, there are other dimensions to care access beyond financial accessibility. In this study, we assess the geographical accessibility of comprehensive emergency obstetric care (CEmOC) within the Lagos State Health Insurance Scheme.MethodsWe geocoded functional public and private CEmOC facilities, established facilities registered on the insurance panel as of December 2022, and assembled population distribution for women of childbearing age. We used Google Maps Platform's internal directions application programming interface to obtain driving times to facilities. State- and local government area (LGA)-level median travel time (MTT) and a number of CEmOC facilities reachable within 30 min were obtained for peak travel hours.ResultsAcross Lagos State, MTT to the nearest public CEmOC was 25 min, reduced to 17 min with private facilities added to the insurance panel. MTT to the nearest public facility in LGAs ranged from 9 min (Lagos Island) to 51 min (Ojo) (median = 25 min). With private facilities added, MTT ranged from 5 min (Agege and Ajeromi-Ifelodun) to 36 min (Ibeju-Lekki) (median = 13 min). On average, no public CEmOC facility was reachable within 30 min of driving for women living in 6 of 20 LGAs. With private facilities included in the scheme, reachable facilities within 30 min remained zero in one LGA (Ibeju-Lekki).ConclusionsOur innovative approach offers policy-relevant evidence to optimise insurance coverage, support efforts in advancing UHC, ensure coverage for CEmOC, and improve health system performance.

Background Better geographical accessibility to comprehensive emergency obstetric care (CEmOC) facilities can significantly improve pregnancy outcomes. However, with other factors, such as affordability critical for care access, it is important to explore accessibility across groups. We assessed CEmOC geographical accessibility by wealth status in the 15 most-populated Nigerian cities. Methods We mapped city boundaries, verified and geocoded functional CEmOC facilities, and assembled population distribution for women of childbearing age and Meta’s Relative Wealth Index (RWI). We used the Google Maps Platform’s internal Directions Application Programming Interface to obtain driving times to public and private facilities. City-level median travel time (MTT) and number of CEmOC facilities reachable within 60 min were summarised for peak and non-peak hours per wealth quintile. The correlation between RWI and MTT to the nearest public CEmOC was calculated. Results We show that MTT to the nearest public CEmOC facility is lowest in the wealthiest 20% in all cities, with the largest difference in MTT between the wealthiest 20% and least wealthy 20% seen in Onitsha (26 vs 81 min) and the smallest in Warri (20 vs 30 min). Similarly, the average number of public CEmOC facilities reachable within 60 min varies (11 among the wealthiest 20% and six among the least wealthy in Kano). In five cities, zero facilities are reachable under 60 min for the least wealthy 20%. Those who live in the suburbs particularly have poor accessibility to CEmOC facilities. Conclusions Our findings show that the least wealthy mostly have poor accessibility to care. Interventions addressing CEmOC geographical accessibility targeting poor people are needed to address inequities in urban settings.

BackgroundBetter accessibility for emergency obstetric care facilities can substantially reduce maternal and perinatal deaths. However, pregnant women and girls living in urban settings face additional complex challenges travelling to facilities. We aimed to assess the geographical accessibility of the three nearest functional public and private comprehensive emergency obstetric care facilities in the 15 largest Nigerian cities via a novel approach that uses closer-to-reality travel time estimates than traditional model-based approaches.MethodsIn this population-based spatial analysis, we mapped city boundaries, verified and geocoded functional comprehensive emergency obstetric care facilities, and mapped the population distribution for girls and women aged 15–49 years (ie, of childbearing age). We used the Google Maps Platform's internal Directions Application Programming Interface to derive driving times to public and private facilities. Median travel time and the percentage of women aged 15–49 years able to reach care were summarised for eight traffic scenarios (peak and non-peak hours on weekdays and weekends) by city and within city under different travel time thresholds (≤15 min, ≤30 min, ≤60 min).FindingsAs of 2022, there were 11·5 million girls and women aged 15–49 years living in the 15 studied cities, and we identified the location and functionality of 2020 comprehensive emergency obstetric care facilities. City-level median travel time to the nearest comprehensive emergency obstetric care facility ranged from 18 min in Maiduguri to 46 min in Kaduna. Median travel time varied by location within a city. The between-ward IQR of median travel time to the nearest public comprehensive emergency obstetric care varied from the narrowest in Maiduguri (10 min) to the widest in Benin City (41 min). Informal settlements and peripheral areas tended to be worse off compared to the inner city. The percentages of girls and women aged 15–49 years within 60 min of their nearest public comprehensive emergency obstetric care ranged from 83% in Aba to 100% in Maiduguri, while the percentage within 30 min ranged from 33% in Aba to over 95% in Ilorin and Maiduguri. During peak traffic times, the median number of public comprehensive emergency obstetric care facilities reachable by women aged 15–49 years under 30 min was zero in eight (53%) of 15 cities.InterpretationBetter access to comprehensive emergency obstetric care is needed in Nigerian cities and solutions need to be tailored to context. The innovative approach used in this study provides more context-specific, finer, and policy-relevant evidence to support targeted efforts aimed at improving comprehensive emergency obstetric care geographical accessibility in urban Africa.FundingGoogle.

Birth tourism, the practice of a woman travelling out of her country of residence to another country to give birth, is common globally. Despite this, there is limited literature on the motivations and experiences of women who gave birth abroad. This study aims to address this gap by seeking to understand the motivations for and experiences of childbirth abroad among Nigerian women. Using purposive and snowball sampling, 27 Nigerian women who had children abroad were recruited via social media platforms. In-depth interviews were conducted remotely, audio-recorded, transcribed, and analysed thematically. Braun and Clarke’s six-step thematic analysis was used, which included data familiarisation, code generation, searching for themes, reviewing themes, defining themes, and producing the report. We found that motivations for seeking childbirth abroad varied based on the mother’s desires for their children, needs, and circumstances. These motivations were formed at different times before and after pregnancy and evolved over time. The experience of childbirth abroad is mostly good. However, there are also bad experiences, with some women feeling like they were treated differently because they were “self-paying” patients, “black”, or not country residents. The cost of care is deemed exorbitant, but most pay their bills. Support of loved ones around childbirth abroad was considered crucial, although not always available. Through it all, realising the expected and collateral benefits of childbirth abroad made it all worth it. In conclusion, motivation for childbirth abroad varies and evolves. While globalisation, broken health systems, and ongoing sustained economic challenges in Nigeria and similar settings continue to motivate women to seek childbirth abroad, their experiences of childbirth abroad suggest that though it might be greener on the other side, it is not necessarily dark green. Systems are needed to elevate their voices in the public discourse and safeguard them from bad experiences of childbirth abroad.

Travel time estimation accounting for on-the-ground realities between the location where a need for emergency obstetric care (EmOC) arises and the health facility capable of providing EmOC is essential for improving pregnancy outcomes. Current understanding of travel time to care is inadequate in many urban areas of Africa, where short distances obscure long travel times and travel times can vary by time of day and road conditions. Here, we describe a database of travel times to comprehensive EmOC facilities in the 15 most populated extended urban areas of Nigeria. The travel times from cells of approximately 0.6 × 0.6 km to facilities were derived from Google Maps Platform’s internal Directions Application Programming Interface, which incorporates traffic considerations to provide closer-to-reality travel time estimates. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

Geographic Information System (GIS) has become an effective and reliable tool for researchers, policymakers, and decision-makers to map health

Background: Caesarean section (CS) performed in an emergency can be life-saving for both the pregnant woman and her baby. In Nigeria, CS rates have been estimated to be 2.7% nationally, with the highest regional rate of 7.0% reported in the South-West of the country. Our objective in this facility-based retrospective cross-sectional study was to describe patterns and assess factors, obstetric indications, and outcomes of emergency CS in Lagos, Nigeria. Methods: Socio-demographic, travel, and obstetric data of pregnant women were extracted from case notes. Travel data was inputted in Google Maps to extract travel time from the pregnant women’ home to the hospital. Univariate, bivariate and multivariable logistic regression analyses were conducted. Results: Of the 3,134 included pregnant women, 1,923 (61%) delivered via emergency CS. The odds of an emergency CS were significantly higher among women who were booked (OR=1.97, 95%CI 1.64–2.35), presented with obstructed labour (OR=2.59, 95%CI 1.68–3.99), pre-eclampsia/eclampsia (OR=1.67, 95%CI 1.08–2.56), multiple gestations (OR=2.71, 95%CI 1.72–4.28) and travelled from suburban areas (OR=1.43, 95%CI 1.15–1.78). There was an increasing dose-effect response between travel time to the hospital and emergency CS. Conclusion: Optimisation of CS rates requires a multi-pronged approach during pregnancy and childbirth, with particular emphasis on supporting pregnant women living in the suburbs. Keywords: Caesarean section; emergency obstetric care; prevalence; factors; urban; Nigeria.

Background Dashboards are increasingly being used in sub-Saharan Africa (SSA) to support health policymaking and governance. However, their use has been mostly limited to routine care, not emergency services like emergency obstetric care (EmOC). To ensure a fit-for-purpose dashboard, we conducted an online survey with policymakers and researchers to understand key considerations needed for developing a policy-ready dashboard of geospatial access to EmOC in SSA. Methods Questionnaires targeting both stakeholder groups were pre-tested and disseminated in English, French, and Portuguese across SSA. We collected data on participants’ awareness of concern areas for geographic accessibility of EmOC and existing technological resources used for planning of EmOC services, the dynamic dashboard features preferences, and the dashboard's potential to tackle lack of geographic access to EmOC. Questions were asked as multiple-choice, Likert-scale, or open-ended. Descriptive statistics were used to summarise findings using frequencies or proportions. Free-text responses were recoded into themes where applicable. Results Among the 206 participants (88 policymakers and 118 researchers), 90% reported that rural areas and 23% that urban areas in their countries were affected by issues of geographic accessibility to EmOC. Five percent of policymakers and 38% of researchers were aware of the use of maps of EmOC facilities to guide planning of EmOC facility location. Regarding dashboard design, most visual components such as location of EmOC facilities had almost universal desirability; however, there were some exceptions. Nearly 70% of policymakers considered the socio-economic status of the population and households relevant to the dashboard. The desirability for a heatmap showing travel time to care was lower among policymakers (53%) than researchers (72%). Nearly 90% of participants considered three to four data updates per year or less frequent updates adequate for the dashboard. The potential usability of a dynamic dashboard was high amongst both policymakers (60%) and researchers (82%). Conclusion This study provides key considerations for developing a policy-ready dashboard for EmOC geographical accessibility in SSA. Efforts should now be targeted at establishing robust estimation of geographical accessibility metrics, integrated with existing health system data, and developing and maintaining the dashboard with up-to-date data to maximise impact in these settings.

BACKGROUND:Over 80,000 pregnant women died in Nigeria due to pregnancy-related complications in 2020. Evidence shows that if appropriately conducted, caesarean section (CS) reduces the odds of maternal death. In 2015, the World Health Organization (WHO), in a statement, proposed an optimal national prevalence of CS and recommended the use of Robson classification for classifying and determining intra-facility CS rates. We conducted this systematic review and meta-analysis to synthesise evidence on prevalence, indications, and complications of intra-facility CS in Nigeria. METHODS:Four databases (African Journals Online, Directory of Open Access Journals, EBSCOhost, and PubMed) were systematically searched for relevant articles published from 2000 to 2022. Articles were screened following the PRISMA guidelines, and those meeting the study's inclusion criteria were retained for review. Quality assessment of included studies was conducted using a modified Joanna Briggs Institute's Critical Appraisal Checklist. Narrative synthesis of CS prevalence, indications, and complications as well as a meta-analysis of CS prevalence using R were conducted. RESULTS:We retrieved 45 articles, with most (33 (64.4%)) being assessed as high quality. The overall prevalence of CS in facilities across Nigeria was 17.6%. We identified a higher prevalence of emergency CS (75.9%) compared to elective CS (24.3%). We also identified a significantly higher CS prevalence in facilities in the south (25.5%) compared to the north (10.6%). Furthermore, we observed a 10.7% increase in intra-facility CS prevalence following the implementation of the WHO statement. However, none of the studies adopted the Robson classification of CS to determine intra-facility CS rates. In addition, neither hierarchy of care (tertiary or secondary) nor type of facility (public or private) significantly influenced intra-facility CS prevalence. The commonest indications for a CS were previous scar/CS (3.5-33.5%) and pregnancy-related hypertensive disorders (5.5-30.0%), while anaemia (6.4-57.1%) was the most reported complication. CONCLUSION:There are disparities in the prevalence, indications, and complications of CS in facilities across the geopolitical zones of Nigeria, suggestive of concurrent overuse and underuse. There is a need for comprehensive solutions to optimise CS provision tailor-made for zones in Nigeria. Furthermore, future research needs to adopt current guidelines to improve comparison of CS rates.

Objective: To explore perspectives of public sector technocrats on the role of and considerations needed for implementing an innovative dashboard that leverages geographic information systems (GIS) in supporting optimisation of emergency obstetric care (EmOC) geographical accessibility in Nigeria.Methods: Twenty-three semi-structured interviews were conducted in person or virtually with six policymakers and 17 senior civil servants in Nigeria. Braun and Clarke's six-step approach to thematic analysis, which involved data familiarisation, initial code generation, searching for themes, reviewing themes, defining themes, and producing the report, was applied.Results: Despite recognising the ideal of data-driven needs assessment, in reality, factors such as political pres-sure, persistent community advocacy, and donor funding drive decisions on siting EmOC facilities. Irregular short-term political cycles and exigencies in health systems prevent new facilities from being established or motivate a focus on facility quality over quantity. There was a strong appetite for using GIS-enabled dashboards to support planning, with enthusiasm for such technology more apparent where innovation was already part of government's philosophy. A digital dashboard that is dynamic, reflective of reality, inclusive of public and private providers, incorporates facility characteristics, and can test accessibility scenarios, was deemed partic-ularly valuable. Its value proposition extended beyond EmOC and provider type. However, its success as a policy tool will depend on the veracity and currency of the data informing it.Conclusions: Technocrats welcome dynamic GIS-enabled dashboards as it offers a significant step-change compared to the current practice for EmOC service planning. Value-for-money of such innovations must be considered if implemented.Public Interest Summary: Planning and siting of emergency services used by pregnant women (EmOC) in many low-resource countries are mostly haphazard. However, there is increasing recognition that technology can refine this process. In this study, we explored perspectives of public sector technocrats in Nigeria on the role of and considerations needed for implementing an innovative digital dashboard that leverages geographic infor-mation systems in optimising EmOC geographical accessibility. We found that current planning is mainly driven by political pressure, community advocacy, and donor funding. However, there is a strong appetite in govern-ment for using GIS-enabled dashboards to inform service planning, with enthusiasm for such technology appearing to be more grounded in states where innovation was already part of the government's philosophy. Yet, concerns about data accuracy were expressed. Broadly, dashboards that are dynamic, reflective of reality, in-clusive of public and private providers, incorporate facility characteristics, and can test access scenarios, were deemed particularly valuable.

A geocoded list of facilities from both public and non-public sectors capable of providing comprehensive emergency obstetric care (EmOC) for 15 selected urban conurbations in Nigeria ( Aba, Abuja, Benin City, Ibadan, Ilorin, Jos, Kaduna, Kano, Lagos, Maiduguri, Onitsha, Owerri, Port Harcourt, Uyo, and Warri ). We proxied and defined the availability of comprehensive EmOC services as any health facility that can offer caesarean section (CS) services

Maternal and perinatal mortality remain huge challenges globally, particularly in low- and middle-income countries (LMICs) where >98% of these deaths occur. Emergency obstetric care (EmOC) provided by skilled health personnel is an evidence-based package of interventions effective in reducing these deaths associated with pregnancy and childbirth. Until recently, pregnant women residing in urban areas have been considered to have good access to care, including EmOC. However, emerging evidence shows that due to rapid urbanization, this so called “urban advantage” is shrinking and in some LMIC settings, it is almost non-existent. This poses a complex challenge for structuring an effective health service delivery system, which tend to have poor spatial planning especially in LMIC settings. To optimize access to EmOC and ultimately reduce preventable maternal deaths within the context of urbanization, it is imperative to accurately locate areas and population groups that are geographically marginalized. Underpinning such assessments is accurately estimating travel time to health facilities that provide EmOC. In this perspective, we discuss strengths and weaknesses of approaches commonly used to estimate travel times to EmOC in LMICs, broadly grouped as reported and modeled approaches, while contextualizing our discussion in urban areas. We then introduce the novel OnTIME project, which seeks to address some of the key limitations in these commonly used approaches by leveraging big data. The perspective concludes with a discussion on anticipated outcomes and potential policy applications of the OnTIME project.