Barriers to health in women of reproductive age living with or at risk of non-communicable diseases in Nigeria: a Photovoice study.

BACKGROUND: Nigeria has one of the highest maternal mortality ratios (MMR) globally with an MMR of 512 (per 100,000 live births) and the proportion of maternal deaths due to non-communicable diseases (NCDs) is increasing. While evidence shows that many of these deaths are preventable, limited attention is being paid to the unique vulnerabilities and experiences of women of reproductive age (WRA) with NCDs and their risk factors, as well as the barriers to the screening, diagnosis, and management of these diseases in Nigeria. METHODS: This study explored the lives of WRA in Lagos and Federal Capital Territory in Nigeria from May to June 2019 using a community-based participatory research (CBPR) methodology called Photovoice which is aligned with CBPR as it includes procedures such as the identification of important community issues, discussion of photo assignments and data analysis. Twenty-four women of reproductive age were provided with digital cameras and trained on how to capture photos that conveyed their current health, healthcare utilization and engagement, and experience journeys. Individual interviews with the women were held for an in-depth exploration of the photographs. The data was then analysed thematically. RESULTS: Six distinct themes were identified across the barriers highlighted by the women: food and nutrition, home and family, neighborhood-built environment, economic instability, religion and spirituality and low prioritization of self-care. These themes captured the challenge of reduced agency, limited contribution and participation, and a complex relationship between visible and invisible illness. CONCLUSION: The perspectives of WRA in Nigeria obtained through this qualitative research provided a strong substratum for understanding the environmental barriers that predispose WRA to NCDs in Nigeria. The results of the study are useful for the improvement of woman-centred services of prevention, diagnosis, and management of NCD risk factors across the maternal and reproductive health care continuum in Nigeria.

Prevalence of non-communicable diseases and risk factors of pre-eclampsia/eclampsia in four local government areas in Nigeria: a cross-sectional study.

OBJECTIVES: To assess the prevalence of non-communicable diseases (NCDs) and risk factors associated with pre-eclampsia and eclampsia (PE/E) in women of reproductive age (WRA) in Nigeria. DESIGN: A cross-sectional survey was administered to the entire study population. In the point-of-care testing, physical and biochemical measurements were taken in a subset of the participants. SETTING: The study was conducted in the Ikorodu and Alimosho local government areas (LGAs) in Lagos and the Abuja Municipal Area Council and Bwari LGAs in the Federal Capital Territory. PARTICIPANTS: Systematic random sampling was used to randomly select and recruit 639 WRA (aged 18-49 years) between May 2019 and June 2019. OUTCOME MEASURES: Prevalence of select NCDs (hypertension or raised blood pressure, diabetes or raised blood sugar levels, anaemia, truncal obesity and overweight/obesity) and risk factors associated with PE/E (physical activity, fruit and vegetable consumption, alcohol consumption and smoking). RESULTS: The prevalence of raised blood pressure measured among the WRA was 36.0% (95% CI 31.3% to 40.9%). Approximately 10% (95% CI 7.2% to 13.4%) of participants had raised blood sugar levels. About 19.0% (95% CI 15.3% to 23.2%) of the women had moderate or severe anaemia. Excluding WRA who were pregnant, 51.9% (95% CI 45.7% to 58.0%) of the women were either overweight or obese based on their body mass index. Approximately 58.8% (95% CI 53.8% to 63.6%) of WRA surveyed reported three to five risk factors for developing NCDs and PE/E in future pregnancies. CONCLUSIONS: The study identified a high prevalence of NCDs and associated PE/E risk factors in surveyed women, signifying the importance of early detection and intervention for modifiable NCD and associated PE/E risk factors in WRA. Further research is necessary to assess the national prevalence of NCDs.

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria.

Background: Quality of health service delivery data remains sub-optimal in many Low and middle-income countries (LMICs) despite over a decade of progress in digitization and Health Management Information Systems (HMIS) improvements. Identifying everyone residing in a country utilizing universal civil registration and/or national unique identification number systems especially for vulnerable patients seeking care within the care continuum is an essential part of pursuing universal health coverage (UHC). Many different strategies or candidate digital technologies exist for uniquely identifying and tracking patients within a health system, and the different strategies also have their advantages and trade-offs. The recent approval of Decentralized identifier (DID) core specification by World Wide Web Consortium (W3C) heralds the search for consensus on standard interoperable DID methods. Objective: This paper aims to: (1) assess how candidate Patient Identification Systems fit the digital Patient ID desirable attributes framework in literature; and (2) use insights from Nigeria to propose the scale-up of an offline, interoperable decentralized Patient ID generation and a matching model for addressing network reliability challenges of centralized electronic registries in LMICs. Methods: We combined: (i) systematic review of the literature to identify the characteristics of leading candidates for Patient ID systems, with (ii) review of policies and (iii) quantitative survey of 14 general hospitals in Nigeria's Federal Capital Territory to understand the model(s) of patient ID strategies currently implemented by public hospitals. Results: Evidence from the literature review and quantitative survey showed that no current Patient ID strategy in Nigeria simultaneously meets the six attributes of uniqueness, unchanging, uncontroversial, inexpensive, ubiquitous, and uncomplicated required for ensuring the reliability of unique patient identification systems and of the HMIS more generally. Conclusions: The findings are used to propose a model of algorithms for universal-offline Patient ID generation and matching models that is cost effective and can be easily scaled-up throughout Nigeria. The prototype has promise for generating and validating a universally unique Patient ID given a set of patient characteristics without a central rigid authority. The model can also help to fast-track the implementation of a Master Patient Index (MPI) and interoperability of existing digital health platforms in LMICs.

COVID-19 Mobile Positioning Data Contact Tracing and Patient Privacy Regulations: Exploratory Search of Global Response Strategies and the Use of Digital Tools in Nigeria.

BACKGROUND: The coronavirus disease (COVID-19) pandemic is the biggest global economic and health challenge of the century. Its effect and impact are still evolving, with deaths estimated to reach 40 million if unchecked. One effective and complementary strategy to slow the spread and reduce the impact is to trace the primary and secondary contacts of confirmed COVID-19 cases using contact tracing technology. OBJECTIVE: The objective of this paper is to survey strategies for digital contact tracing for the COVID-19 pandemic and to present how using mobile positioning data conforms with Nigeria's data privacy regulations. METHODS: We conducted an exploratory review of current measures for COVID-19 contact tracing implemented around the world. We then analyzed how countries are using mobile positioning data technology to reduce the spread of COVID-19. We made recommendations on how Nigeria can adopt this approach while adhering to the guidelines provided by the National Data Protection Regulation (NDPR). RESULTS: Despite the potential of digital contact tracing, it always conflicts with patient data privacy regulations. We found that Nigeria's response complies with the NDPR, and that it is possible to leverage call detail records to complement current strategies within the NDPR. CONCLUSIONS: Our study shows that mobile position data contact tracing is important for epidemic control as long as it conforms to relevant data privacy regulations. Implementation guidelines will limit data misuse.