High rates of undiagnosed and uncontrolled hypertension upon a screening campaign in rural Rwanda: a cross-sectional study.

BACKGROUND: Hypertension remains the major risk factor for cardiovascular diseases (CVDs) worldwide with a prevalence and mortality in low- and middle-income countries (LMICs) among the highest. The early detection of hypertension risk factors is a crucial pillar for CVD prevention. DESIGN AND METHOD: This cross-sectional study included 4284 subjects, mean age 46 ± 16SD, 56.4% females and mean BMI 26.6 ± 3.7 SD. Data were collected through a screening campaign in rural area of Kirehe District, Eastern of Rwanda, with the objective to characterize and examine the prevalence of elevated blood pressure (BP) and other CVD risk factors. An adapted tool from the World Health Organization STEPwise Approach was used for data collection. Elevated BP was defined as ≥ 140/90 mm/Hg and elevated blood glucose as blood glucose ≥ 100 mg/dL after a 6-h fast. RESULTS: Of the sampled population, 21.2% (n = 910) had an elevated BP at screening; BP was elevated among individuals not previously known to have HTN in 18.7% (n = 752). Among individuals with a prior diagnosis of HTN, 62.2% (n = 158 of 254) BP was uncontrolled. Age, weight, smoking, alcohol history and waist circumference were associated with BP in both univariate analyses and multivariate analysis. CONCLUSION: High rates of elevated BP identified through a health screening campaign in this Rwandan district were surprising given the rural characteristics of the district and relatively low population age. These data highlight the need to implement an adequate strategy for the prevention, diagnosis, and control of HTN that includes rural areas of Rwanda as part of a multicomponent strategy for CVD prevention.

The effect of a decision-support mHealth application on maternal and neonatal outcomes in two district hospitals in Rwanda: pre - post intervention study.

BACKGROUND: Globally, mobile health (mHealth) applications are known for their potential to improve healthcare providers' access to relevant and reliable health information. Besides, electronic decision support tools, such as the Safe Delivery mHealth Application (SDA), may help to reduce clinical errors and to ensure quality care at the point of service delivery. The current study investigated the use of the SDA and its relationship to basic emergency obstetric and newborn care (BEmONC) outcomes for the most frequent complications in Rwanda; post-partum haemorrhage (PPH) and newborn asphyxia. METHODS: The study adopted a pre-post intervention design. A pre-intervention record review of BEmONC outcomes: Apgar score and PPH progressions, was conducted for 6 months' period (February 2019 - July 2019). The intervention took place in two district hospitals in Rwanda and entails the implementation of the SDA for 6 months (October 2019- March 2020), and included 54 nurses and midwives using the SDA to manage PPH and neonatal resuscitation. Six months' post-SDA intervention, the effect of the SDA on BEmONC outcomes was evaluated. The study included 327 participants (114 cases of PPH and 213 cases of neonatal complications). The analysis compared the outcome variables between the baseline and the endline data. Fisher's exact test was used to compare the proportions and test between-group differences and significance level set at p < 0.05. RESULTS: Unstable newborn outcomes following neonatal resuscitation were recorded in 62% newborns cases at baseline and 28% newborns cases at endline, P-value = 0.000. Unstable maternal outcomes following PPH management were recorded in 19% maternal cases at baseline and 6% maternal cases at endline, P-value = 0.048. There was a significant association between the SDA intervention and newborns' and maternal' outcomes following neonatal resuscitation and PPH management, 6 months after baseline. CONCLUSION: The use of the SDA supported nurses and midwives in the management of PPH and neonatal resuscitation which may have contributed to improved maternal and neonatal outcomes during 6 months of the SDA intervention. The findings of this study are promising as they contribute to a broader knowledge about the effectiveness of SDA in low and middle income hospital settings.

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.

BACKGROUND: Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data. Unfortunately, those data are fragmented in silos with different data structures or formats and cannot be used to improve understanding of the disease, monitor its progress, and generate evidence to guide prevention measures. The objective of this project is to leverage the artificial intelligence (AI) and data science techniques in harmonizing datasets to support Rwandan government needs in monitoring and predicting the COVID-19 burden, including the hospital admissions and overall infection rates. METHODS: The project will gather the existing data including hospital electronic health records (EHRs), the COVID-19 testing data and will link with longitudinal data from community surveys. The open-source tools from Observational Health Data Sciences and Informatics (OHDSI) will be used to harmonize hospital EHRs through the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The project will also leverage other OHDSI tools for data analytics and network integration, as well as R Studio and Python. The network will include up to 15 health facilities in Rwanda, whose EHR data will be harmonized to OMOP CDM. EXPECTED RESULTS: This study will yield a technical infrastructure where the 15 participating hospitals and health centres will have EHR data in OMOP CDM format on a local Mac Mini ("data node"), together with a set of OHDSI open-source tools. A central server, or portal, will contain a data catalogue of participating sites, as well as the OHDSI tools that are used to define and manage distributed studies. The central server will also integrate the information from the national Covid-19 registry, as well as the results of the community surveys. The ultimate project outcome is the dynamic prediction modelling for COVID-19 pandemic in Rwanda. DISCUSSION: The project is the first on the African continent leveraging AI and implementation of an OMOP CDM based federated data network for data harmonization. Such infrastructure is scalable for other pandemics monitoring, outcomes predictions, and tailored response planning.

Context specific realities and experiences of nurses and midwives in basic emergency obstetric and newborn care services in two district hospitals in Rwanda: a qualitative study.

BACKGROUND: In low and middle-income countries, nurses and midwives are the frontline healthcare workers in obstetric care. Insights into experiences of these healthcare workers in managing obstetric emergencies are critical for improving the quality of care. This article presents such insights, from the nurses and midwives working in Rwandan district hospitals, who reflected on their experiences of managing the most common birth-related complications; postpartum hemorrhage (PPH) and newborn asphyxia. Rwanda has made remarkable progress in obstetric care. However, challenges remain in the provision of high-quality basic emergency obstetric and newborn care (BEmONC). This study is a qualitative part of a broader research project about implementation of an mLearning and mHealth decision support tool in BEmONC services in Rwanda. METHODS: In this exploratory qualitative aspect of the research, four focus group discussions (FGDs) with 26 nurses and midwives from two district hospitals in Rwanda were conducted. Each FGD was made up of two parts. The first part focused on the participants' reflections on the research results (from the previous study), while the second part explored their experiences of delivering obstetric care services. The research results included: survey results reflecting their knowledge and skills of PPH management and of neonatal resuscitation (NR); and findings from a six-month record review of PPH management and NR outcomes, from the district hospitals under study. Data were analyzed using hybrid thematic analysis. RESULTS: The analysis revealed three main themes: (1) reflections to the baseline research results, (2) self-reflection on the current practices, and (3) contextual factors influencing the delivery of BEmONC services. Nurses and midwives felt that the presented findings were a true reflection of the reality and offered diverse explanations for the results. The participants' narratives of lived experiences of providing BEmONC services are also presented. CONCLUSION: The insights of nurses and midwives regarding the management of birth-related complications revealed multi-faceted factors that influence the quality of their obstetric care. Even though the study was focused on PPH management and NR, the resulting recommendations to improve quality of care could benefit the broader field of maternal and child health, particularly in low and middle-income countries.

A mixed-method study exploring experiences, perceptions, and acceptability of using a safe delivery mHealth application in two district hospitals in Rwanda.

BACKGROUND: Innovative use of mobile health (mHealth) technology in timely management of childbirth complications is a promising strategy, but its evidence base is limited. The Safe Delivery mHealth Application (SDA) is one of the recent mhealth applications (loaded in smartphones) which is a clinical decision support and training tool for basic emergency obstetric and newborn care (BEmONC). This paper describes, the health providers' experiences, perceptions, and acceptability of using the SDA, as well as the perceptions of key stakeholders. METHODS: A mixed-methods approach was utilized. Quantitative methods consisted of a self-reported acceptability survey, administered to 54 nurses and midwives, including questions on their usage and perceptions of the SDA. Descriptive statistics were employed to analyze the survey data. Qualitative methods included two focus group discussions with 24 nurses and midwives, and six key informant interviews with stakeholders (maternity matrons, responsible for maternal and child health, and district hospital managers). Thematic analysis was performed and selected quotations used to illustrate themes. The study took place in two district hospitals in Rwanda. RESULTS: Quantitative results found that 31 (57.4%) participants used the SDA four to six times per week. Many participants felt more confident (53.7%) and better at their job (40.7%) since having the SDA. Likert scale survey responses (1-5, 1 = Strongly Disagree, 5 = Strongly Agree) indicated general agreement that SDA is easy to use (Mean = 4.46), is an effective decision support tool (4.63), and training tool (4.65). Qualitative results included themes on perceived usefulness; professional growth acquired through the use of the SDA; SDA, an empowering, intuitive, and user-friendly technology; desired SDA features and functions; benefits of SDA as perceived by key informants, and future use of the SDA. CONCLUSIONS: The nurses and midwives perceive the SDA as having improved their ability to manage childbirth complications. Key stakeholders also perceive the SDA as a useful tool with a reasonable cost and recommend its implementation in routine practices. This study deepens the understanding of the potential benefits of mHealth such as the SDA in low-income settings, like Rwanda. It also provides more evidence on the impact of mHealth in assuring quality BEmONC.

The effect of an mLearning application on nurses' and midwives' knowledge and skills for the management of postpartum hemorrhage and neonatal resuscitation: pre-post intervention study.

BACKGROUND: Globally, mobile learning (mLearning) tools have attracted considerable attention as a means of continuous training for healthcare workers. Rwanda like other low-resource settings with scarce in-service training opportunities requires innovative approaches that adapt technology to context to improve healthcare workers' knowledge and skills. One such innovation is the safe delivery application (SDA), a smartphone mLearning application for Basic Emergency Obstetric and Neonatal Care (BEmONC) content. This study assessed the effect of the SDA intervention on nurses' and midwives' knowledge and skills for the management of postpartum hemorrhage (PPH) and neonatal resuscitation (NR). METHODS: The study used a pre-post test design to compare knowledge and skills of nurses and midwives in the management of PPH and NR at two measurement points: immediately prior to SDA intervention and after 6 months of SDA intervention. The intervention took place in two district hospitals in Rwanda and included 54 participants. A paired-sample t-test was used to measure the pre-post intervention, mean knowledge and skills scores differences. Confidence intervals (CIs) and effect size were calculated. A t-test and a one-way Anova were used to test for potential confounders. RESULTS: The analysis included 54 participants. Knowledge scores and skills scores on PPH management and NR increased significantly from baseline to endline measurements. The mean difference for PPH knowledge is 17.1 out of 100; 95% CI 14.69 to 19.49 and 2.6% for PPH skills; 95% CI 1.01 to 4.25. The mean difference for NR knowledge is 19.1 out of 100; 95% CI 16.31 to 21.76 and 5.5% for NR skills; 95% CI 3.66 to 7.41. Increases were unaffected by participants' attendance to in-service training 6 months prior and during SDA intervention and previous smartphone use. However, pre- and post-intervention skills scores were significantly different by years of experience in obstetric care. CONCLUSION: The SDA intervention improved the knowledge and skills of nurses and midwives on the management of PPH and NR as long as 6 months after SDA introduction. The results are highly relevant in low-income countries like Rwanda, where quality of delivery care is challenged by a lack of in-service continuous training for healthcare providers.

Assessing factors associated with compliance to preventive measures of COVID-19 in Rwanda: a cross-sectional community survey.

OBJECTIVE: To assess the level of compliance with COVID-19 preventive measures and compliance-associated factors in the Rwanda community. DESIGN: Cross-sectional study. SETTINGS: Country-wide community survey in Rwanda. PARTICIPANTS: 4763 participants were randomly sampled following the sampling frame used for the recent Rwanda Demographic Health Survey. Participants were aged between 22 years and 94 years. OUTCOMES: The participants' compliance with three preventive measures (wearing a face mask, washing hands and social distancing) was the main outcome. METHODS: From 14 February 2022 to 27 February 2022, a cross-sectional survey using telephone calls was conducted. Study questionnaires included different questions such as participants' demographics and compliance with COVID-19 preventives measures. Verbal consent was obtained from each participant. The compliance on three main preventive measures (wearing a mask, washing hands and social distancing) were the main outcomes. Univariate and multivariable logistic regression analyses were performed to evaluate factors associated with compliance (age, gender, level of education, socioeconomic status). RESULTS: Compliance with the three primary preventive measures (washing hands 98%, wearing a mask 97% and observing social distance 98%) was at a rate of 95%. The respondents' mean age was 46±11 SD (range 22-98) years. In addition, 69% were female and 86% had attended primary education. Bivariate and regression analyses indicated a significant association among the three primary preventive measures (p<0.05). The results showed factors associated significantly between the different models (p<0.05): proper mask use and social distancing in the hand washing model; hand washing, social distancing, avoiding handshakes and not attending gatherings in the proper mask use model; hand washing and avoiding handshakes in the social distancing model. CONCLUSION: Compliance with the three key preventive measures against COVID-19 was high in the Rwandan community and these measures were interdependent. Therefore, the importance of all three measures should be emphasised for effective disease control.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision.

BACKGROUND: The purpose of educational recommendations is to assist in establishing courses and programs in a discipline, to further develop existing educational activities in the various nations, and to support international initiatives for collaboration and sharing of courseware. The International Medical Informatics Association (IMIA) has published two versions of its international recommendations in biomedical and health informatics (BMHI) education, initially in 2000 and revised in 2010. Given the recent changes to the science, technology, the needs of the healthcare systems, and the workforce of BMHI, a revision of the recommendations is necessary. OBJECTIVE: The aim of these updated recommendations is to support educators in developing BMHI curricula at different education levels, to identify essential skills and competencies for certification of healthcare professionals and those working in the field of BMHI, to provide a tool for evaluators of academic BMHI programs to compare and accredit the quality of delivered programs, and to motivate universities, organizations, and health authorities to recognize the need for establishing and further developing BMHI educational programs. METHOD: An IMIA taskforce, established in 2017, updated the recommendations. The taskforce included representatives from all IMIA regions, with several having been involved in the development of the previous version. Workshops were held at different IMIA conferences, and an international Delphi study was performed to collect expert input on new and revised competencies. RESULTS: Recommendations are provided for courses/course tracks in BMHI as part of educational programs in biomedical and health sciences, health information management, and informatics/computer science, as well as for dedicated programs in BMHI (leading to bachelor's, master's, or doctoral degree). The educational needs are described for the roles of BMHI user, BMHI generalist, and BMHI specialist across six domain areas - BMHI core principles; health sciences and services; computer, data and information sciences; social and behavioral sciences; management science; and BMHI specialization. Furthermore, recommendations are provided for dedicated educational programs in BMHI at the level of bachelor's, master's, and doctoral degrees. These are the mainstream academic programs in BMHI. In addition, recommendations for continuing education, certification, and accreditation procedures are provided. CONCLUSION: The IMIA recommendations reflect societal changes related to globalization, digitalization, and digital transformation in general and in healthcare specifically, and center on educational needs for the healthcare workforce, computer scientists, and decision makers to acquire BMHI knowledge and skills at various levels. To support education in BMHI, IMIA offers accreditation of quality BMHI education programs. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

Clinical decision making in basic emergency obstetric and newborn care among nurses and midwives: the role of the safe delivery mhealth application_pre-post-intervention study (research protocol).

Most maternal and newborn deaths in low-income countries, including Rwanda, are attributable to preventable causes. Timely access to Basic Emergency Obstetric and Newborn Care (BEmONC) guidelines to support clinical decisions could lead to better obstetric care thus reduction of maternal and newborn deaths. Besides, innovative methods such as the usage and reference to healthcare guidelines using mobile devices (mhealth) may support clinical decision making. However, there is little evidence about mhealth that focuses on the clinical decision support process. This proposal aims to investigate the effect of the Safe Delivery mhealth Application(SDA) on nurses' and midwives' clinical decision making, so as to inform mhealth interventions for work in specific contexts. The study adopts a quasi-experimental design. Convergent parallel mixed - methods will be used to collect, analyze and interpret data. A pre-intervention assessment of the BEmONC outcomes: Apgar score and PPH progressions, and related knowledge, skills, and perceptions of nurses and midwives will be conducted. The intervention will take place in two district hospitals in Rwanda and entails the implementation of the SDA for six months. Six months' post-intervention, the effect of the SDA on BEmONC outcomes and the nurses' and midwives' knowledge and skills will be evaluated.

Exploring contextual factors influencing the implementation of evidence-based care for hypertension in Rwanda: a cross-sectional study using the COACH questionnaire.

IMPORTANCE: Hypertension is the largest contributor to the Global Burden of Disease. In Rwanda, as in most low-income and middle-income countries, an increasing prevalence of hypertension and its associated morbidity and mortality is causing major healthcare and economic impact. Understanding healthcare systems context in hypertension care is necessary. OBJECTIVE: To study the hypertension healthcare context as perceived by healthcare providers using the Context Assessment for Community Health (COACH) tool. DESIGN: A cross-sectional cohort responded to the COACH questionnaire and a survey about hypertension training. SETTING: Three tertiary care hospitals in Rwanda. PARTICIPANTS: Healthcare professionals (n=223). PRIMARY OUTCOMES AND MEASURES: The COACH tool consists of 49 items with eight subscales: resources, community engagement, commitment to work, informal payment, leadership, work culture, monitoring services for action (5-point Likert Scale) and sources of knowledge (on a 0-1 scale). Four questions surveyed training on hypertension. RESULTS: Responders (n=223, 75% women; 56% aged 20-35 years) included nurses (n=142, 64%, midwives (n=42, 19%), primary care physicians (n=28, 13%) and physician specialists (n=11, 5%)). The subscales commitment to work, leadership, work culture and informal payment scored between 4.7 and 4.1 and the community engagement, monitoring services for action and organizational resources scored between 3.1 and 3.5. Sources of knowledge had a mean score of 0.6±0.3. While 73% reported having attended a didactic hypertension seminar in the past year, only 28% had received long-term training and 51% had <3-year experience working with hypertension care delivery. The majority (99%) indicated a need for additional training in hypertension care. CONCLUSIONS: There is a need for increased and continuous training in Rwanda. Healthcare responders stated a commitment to work and reported supportive leadership, while acknowledging limited resources and no monitoring systems. The COACH tool provides contextual guidance to develop training strategies prior to the implementation of a sustainable hypertension care programme.

Dissemination and Implementation Program in Hypertension in Rwanda: Report on Initial Training and Evaluation.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide and in low- and middle-income countries, and hypertension (HTN) is a major risk factor for CVD. Although effective evidence-based interventions for control of HTN in high-income countries exist, implementation of these in low- and middle-income countries has been challenging due to limited capacity and infrastructure for late-phase translational research. In Rwanda, the 2015 STEPS NCD (STEPwise Approach to Surveillance of Noncommunicable Diseases) risk survey reported an overall prevalence of HTN of 15% (95% confidence interval [CI]: 13.8 to 16.3) for those ages 15 to 64 years; prevalence increased with increasing age to 39% (95% CI: 35.7 to 43.1) for those ages 55 to 64 years; CVD was the third most common cause of mortality (7%). Suboptimal infrastructure and capacity in Rwanda hinders research and community knowledge for HTN control. OBJECTIVES: To address the issue of suboptimal capacity to implement evidence-based interventions in HTN, this project was designed with the following objectives: 1) to develop a regional needs assessment of infrastructure for dissemination and implementation (D & I) strategies for HTN-CVD control; 2) to develop HTN-CVD research capacity through creation of countrywide resources such as core research facilities and training in the fields of HTN-CVD, D & I, and biostatistics; and 3) to engage and train multiple stakeholders in D & I and HTN-CVD evidence-based interventions. METHODS: A weeklong training program in HTN-CVD, biostatistics, and D & I was conducted in Rwanda in August 2018, and pre- and post-D & I training competency questionnaires were administered. RESULTS: Questionnaire results show a statistically significant increase in D & I knowledge and skills as a result of training (full scale pre- to post-test scores: 2.12 ± 0.78 vs. 3.94 ± 0.42; p < 0.0001). CONCLUSIONS: Using principles of community engagement and train-the-trainer methods, we will continue to adapt guidelines and treatments for HTN-CVD developed in high-income countries to the context of Rwanda with the goal of establishing a sustainable platform to address the burden of disease from HTN-CVD.