Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa.

Although digital health promotion (DHP) technologies for young people are increasingly available in low- and middle-income countries (LMICs), there has been insufficient research investigating whether existing ethical and policy frameworks are adequate to address the challenges and promote the technological opportunities in these settings. In an effort to fill this gap and as part of a larger research project, in November 2022, we conducted a workshop in Cape Town, South Africa, entitled 'Unlocking the Potential of Digital Health Promotion for Young People in Low- and Middle-Income Countries'. The workshop brought together 25 experts from the areas of digital health ethics, youth health and engagement, health policy and promotion and technology development, predominantly from sub-Saharan Africa (SSA), to explore their views on the ethics and governance and potential policy pathways of DHP for young people in LMICs. Using the World Café method, participants contributed their views on (i) the advantages and barriers associated with DHP for youth in LMICs, (ii) the availability and relevance of ethical and regulatory frameworks for DHP and (iii) the translation of ethical principles into policies and implementation practices required by these policies, within the context of SSA. Our thematic analysis of the ensuing discussion revealed a willingness to foster such technologies if they prove safe, do not exacerbate inequalities, put youth at the center and are subject to appropriate oversight. In addition, our work has led to the potential translation of fundamental ethical principles into the form of a policy roadmap for ethically aligned DHP for youth in SSA.

Determinants of Mortality from Cardiovascular Disease in the Slums of Nairobi, Kenya.

Background: Cardiovascular diseases (CVD) comprise eighty percent of non-communicable disease (NCD) burden in low- and middle-income countries and are increasingly impacting the poor inequitably. Traditional and socioeconomic factors were analyzed for their association with CVD mortality over 10 years of baseline assessment in an urban slum of Nairobi, Kenya. Methods and results: A 2008 survey on CVD risk factors was linked to cause of death data collected between 2008 and 2018. Cox proportional hazards on relative risk of dying from CVD over a 10-year period following the assessment of cardiovascular disease risk factors were computed. Population attributable fraction (PAF) of incident CVD death was estimated for key risk factors. In total, 4,290 individuals, 44.0% female, mean age 48.4 years in 2008 were included in the analysis. Diabetes and hypertension were 7.8% and 24.9% respectively in 2008. Of 385 deaths recorded between 2008 and 2018, 101 (26%) were caused by CVD. Age (hazard ratio (HR) 1.11; 95% confidence interval (CI) 1.03-1.20, p = 0.005) and hypertension (HR 2.19, 95% CI 1.44-3.33, p <0.001) were positively associated with CVD mortality. Primary school education and higher (HR 0.57, 95% CI 0.33-0.99, p = 0.044) and formal employment (HR 0.22, 95% CI 0.06-0.75, p = 0.015) were negatively associated with CVD mortality. Controlling hypertension would avert 27% (95% CI 9%-42%, p = 0.004) CVD deaths, while if every member of the community attained primary school education and unemployment was eradicated, 39% (95% CI 5% - 60%, p = 0.026), and 17% (95% CI 5%-27%, p = 0.030) of CVD deaths, would be averted respectively. Conclusions: A holistic approach in addressing socioeconomic factors in the broader context of social determinants of health at the policy, population and individual level will enhance prevention and treatment-adherence for CVD in underserved settings.

Comparative performance of pooled cohort equations and Framingham risk scores in cardiovascular disease risk classification in a slum setting in Nairobi Kenya.

BACKGROUND: Cardiovascular diseases (CVD) cause 18 million deaths annually. Low- and middle-income countries (LMICs) account for 80% of the CVD burden, and the burden is expected to grow in the region in the coming years. Screening for and identification of individuals at high risk for CVD in primary care settings can be accomplished using available CVD risk scores. However, few of these scores have been validated/recalibrated for use in sub-Saharan Africa (SSA). METHODS: Pooled cohort equations (PCE) and Framingham risk scores for 10-year CVD risk were applied on 1960 men and women aged 40 years and older from the AWI-Gen (Africa, Wits-INDEPTH Partnership for GENomic studies) study 2015. Low, moderate/intermediate or high CVD risk classifications correspond to <10%, 10-20% and >20% chance of developing CVD in 10 years respectively. Agreement between the risk scores was assessed using kappa and correlation coefficients. RESULTS: High CVD risk was 10.3% in PCE 2013, 0.4% in PCE 2018, 2.9% in Framingham and 3.6% in Framingham non-laboratory scores. Conversely, low CVD risk was 62.2% in PCE 2013 and 95.6% in PCE 2018, 84.0% and 80.1% in Framingham and Framingham non-laboratory scores, respectively. A moderate agreement existed between the Framingham functions (kappa = 0.64, 95% CI 0.59-0.68, correlation, rs = 0.711). There was no agreement between the PCE 2013 and 2018 functions (kappa = 0.05, 95% CI 0.04-0.06). CONCLUSIONS: Newer cohort-based data is necessary to validate and recalibrate existing CVD risk scores in order to develop appropriate functions for use in SSA.

Patterns of non-communicable disease and injury risk factors in Kenyan adult population: a cluster analysis.

BACKGROUND: Non-communicable diseases and unintentional injuries are emerging public health problems in sub-Saharan Africa. These threats have multiple risk factors with complex interactions. Though some studies have explored the magnitude and distribution of those risk factors in many populations in Kenya, an exploration of segmentation of population at a national level by risk profile, which is crucial for a differentiated approach, is currently lacking. The aim of this study was to examine patterns of non-communicable disease and injury risk through the identification of clusters and investigation of correlates of those clusters among Kenyan adult population. METHODS: We used data from the 2015 STEPs survey of non-communicable disease risk factors conducted among 4484 adults aged between 18 and 69 years in Kenya. A total of 12 risk factors for NCDs and 9 factors for injury were used as clustering variables. A K-medians Cluster Analysis was applied. We used matching as the measure of the similarity/dissimilarity among the clustering variables. While clusters were described using the risk factors, the predictors of the clustering were investigated using multinomial logistic regression. RESULTS: We have identified five clusters for NCDs and four clusters for injury based on the risk profile of the population. The NCD risk clusters were labelled as cluster hypertensives, harmful users, the hopefuls, the obese, and the fat lovers. The injury risk clusters were labelled as helmet users, jaywalkers, the defiant and the compliant. Among the possible predictors of clustering, age, gender, education and wealth index came out as strong predictors of the cluster variables. CONCLUSION: This cluster analysis has identified important clusters of adult Kenyan population for non-communicable disease and injury risk profiles. Risk reduction interventions could consider these clusters as potential target in the development and segmentation of a differentiated approach.

Individual and household level factors associated with presence of multiple non-communicable disease risk factors in Kenyan adults.

BACKGROUND: Non-communicable diseases (NCDs), are increasing globally, causing about 60% of disability-adjusted life years and 39.8 million deaths in 2015. Risk factors often cluster and interact multiplicatively in an individual and this is strongly associated with the development and severity of NCDs. We assessed the sociodemographic factors associated with the presence of multiple NCD risk factors among individuals aged 18 years and older in the Kenyan population. METHODS: We used national representative data from 4066 individuals out of 4500 who participated in the WHO STEPs study in 2015. NCD risk factor counts were derived by summing the risk factors present in an individual and categorising into 1-3, 4-6 and 7+ risk factors in any combination of the 12 assessed NCD risk factors (hypertension, diabetes mellitus, cholesterol, insufficient physical activity, excessive alcohol use, tobacco use and obesity, excess sugar intake, insufficient fruit and vegetables intake, high salt consumption, and use of unhealthy cooking fats and oils). Ordered logistic regression was used to investigate the sociodemographic factors associated with an individual possesing multiple NCD risk factors. RESULTS: Majority (75.8%) of the individuals in the study possesed 4-6 and 10% had ≥7 NCDs risk factors. Nearly everyone (99.8%) had insufficient fruits and vegetable intakes, 89.5% consumed high salt in their diet and 80.3% did not engage in sufficient physical activity. Apart from NCD risk count which increased with age among both men and women, associations with other socio-demographic factors differed between men and women. A woman of Akamba ethinicity had lower odds (0.43) while Meru women had higher odds (3.58) of higher NCD risk factor count, compared to the Kalenjin women. Among men, being a Kisii or Luo was associated with lower odds (0.48 and 0.25 respectively) of higher NCD risk factor count. Women in a marital union had higher odds (1.58) of a higher NCD risk factor count. CONCLUSION: Majority of Kenyan adults possess more than four NCD risk factors; a clear indication of an emerging epidemic of NCDs in this population. Effective and multi-sectoral interventions targeting multiple risk factors in individuals are required to mitigate especially the behavioural and modifiable NCD risk factors in Kenya.

Social value of a nutritional counselling and support program for breastfeeding in urban poor settings, Nairobi.

BACKGROUND: In Kenya, poor maternal nutrition, suboptimal infant and young child feeding practices and high levels of malnutrition have been shown among the urban poor. An intervention aimed at promoting optimal maternal infant and young child nutrition (MIYCN) practices in urban poor settings in Nairobi, Kenya was implemented. The intervention involved home-based counselling of pregnant and breastfeeding women and mothers of young children by community health volunteers (CHVs) on optimal MIYCN practices. This study assesses the social impact of the intervention using a Social Return on Investment (SROI) approach. METHODS: Data collection was based on SROI methods and used a mixed methods approach (focus group discussions, key informant interviews, in-depth interviews, quantitative stakeholder surveys, and revealed preference approach for outcomes using value games). RESULTS: The SROI analysis revealed that the MIYCN intervention was assessed to be highly effective and created social value, particularly for mothers and their children. Positive changes that participants experienced included mothers being more confident in child care and children and mothers being healthier. Overall, the intervention had a negative social impact on daycare centers and on health care providers, by putting too much pressure on them to provide care without providing extra support. The study calculated that, after accounting for discounting factors, the input ($USD 419,716) generated $USD 8 million of social value at the end of the project. The net present value created by the project was estimated at $USD 29.5 million. $USD 1 invested in the project was estimated to bring USD$ 71 (sensitivity analysis: USD$ 34-136) of social value for the stakeholders. CONCLUSION: The MIYCN intervention showed an important social impact in which mothers and children benefited the most. The intervention resulted in better perceived health of mothers and children and increased confidence of mothers to provide care for their children, while it resulted in negative impacts for day care center owners and health care providers.

Effective non-drug interventions for improving outcomes and quality of maternal health care in sub-Saharan Africa: a systematic review.

BACKGROUND: Many interventions have been implemented to improve maternal health outcomes in sub-Saharan Africa (SSA). Currently, however, systematic information on the effectiveness of these interventions remains scarce. We conducted a systematic review of published evidence on non-drug interventions that reported effectiveness in improving outcomes and quality of care in maternal health in SSA. METHODS: African Journals Online, Bioline, MEDLINE, Ovid, Science Direct, and Scopus databases were searched for studies published in English between 2000 and 2015 and reporting on the effectiveness of interventions to improve quality and outcomes of maternal health care in SSA. Articles focusing on interventions that involved drug treatments, medications, or therapies were excluded. We present a narrative synthesis of the reported impact of these interventions on maternal morbidity and mortality outcomes as well as on other dimensions of the quality of maternal health care (as defined by the Institute of Medicine 2001 to comprise safety, effectiveness, efficiency, timeliness, patient centeredness, and equitability). RESULTS: Seventy-three studies were included in this review. Non-drug interventions that directly or indirectly improved quality of maternal health and morbidity and mortality outcomes in SSA assumed a variety of forms including mobile and electronic health, financial incentives on the demand and supply side, facility-based clinical audits and maternal death reviews, health systems strengthening interventions, community mobilization and/or peer-based programs, home-based visits, counseling and health educational and promotional programs conducted by health care providers, transportation and/or communication and referrals for emergency obstetric care, prevention of mother-to-child transmission of HIV, and task shifting interventions. There was a preponderance of single facility and community-based studies whose effectiveness was difficult to assess. CONCLUSIONS: Many non-drug interventions have been implemented to improve maternal health care in SSA. These interventions have largely been health facility and/or community based. While the evidence on the effectiveness of interventions to improve maternal health is varied, study findings underscore the importance of implementing comprehensive interventions that strengthen different components of the health care systems, both in the community and at the health facilities, coupled with a supportive policy environment. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015023750.