Gender differentials and old age survival in the Nairobi slums, Kenya

Predictors of quality of childcare centers in low-income settings: findings from a cross-sectional study in two Nairobi slums

Background

Rapid urbanization and increased women's involvement in paid work have contributed to the upsurge of informal childcare centers, especially in low-income settings where quality is a major issue. However, there are limited data on the factors associated with the quality of childcare centers in informal settlements in Africa.

Methods

We conducted a quantitative observation and questionnaire survey of 66 childcare centers to identify the factors associated with the quality of childcare services in two informal settlements (Korogocho and Viwandani) in Nairobi. The quality of the centers (outcome variable) was assessed using a locally developed tool. Data on center characteristics including type, size, location, length of operation, charges, and number of staff were collected. Center providers' knowledge, attitude, and practices (KAP) in childcare were assessed through a questionnaire, focusing on nurturing care and business management. Data were described using means and standard deviation or frequencies and percentages. Associations between quality center score (outcome variable) and other variables were examined using multivariable linear regression to identify potential predictors of the quality of the center environment.

Findings

A total of 129 childcare centers were identified and categorized as home-based (n = 45), center-based (n = 14), school-based (n = 61), and church-based (n = 9). The number of home-based centers was particularly high in Viwandani (n = 40; 52%). Only 9% of home-based centers reported any external support and 20% had any training on early childhood development. Of the 129 centers, 66 had complete detailed assessment of predictors of quality reported here. Unadjusted linear regressions revealed associations between quality of childcare center and center providers' education level, type of center, support received, caregiver-child ratio, number of children in the center, and center providers' KAP score (p < 0.05). However, in the multivariable regression, only higher levels of center provider KAP (β = 0.51; 95% CI: 0.18, 0.84; p = 0.003) and center type (β = 8.68; 95% CI: 2.32, 15.04; p = 0.008) were significantly associated with center quality score.

Implication

Our results show that center providers' knowledge and practices are a major driver of the quality of childcare centers in informal settlements in Nairobi. Interventions for improving the quality of childcare services in such settings should invest in equipping center providers with the necessary knowledge and skills through training and supportive supervision.

Coordinated support for local action: Modeling strategies to facilitate behavior adoption in urban-poor communities of Liberia for sustained COVID-19 suppression

BACKGROUND

Long-term suppression of SARS-CoV-2 transmission will involve strategies that recognize the heterogeneous capacity of communities to undertake public health recommendations. We highlight the epidemiological impact of barriers to adoption and the potential role of community-led coordination of support for cases and high-risk contacts in urban slums.

METHODS

A compartmental model representing transmission of SARS-CoV-2 in urban poor versus less socioeconomically vulnerable subpopulations was developed for Montserrado County, Liberia. Adoption of home-isolation behavior was assumed to be related to the proportion of each subpopulation residing in housing units with multiple rooms and with access to sanitation, water, and food. We evaluated the potential impact of increasing the maximum attainable proportion of adoption among urban poor following the scheduled lifting of the state of emergency.

RESULTS

Without intervention, the model estimated higher overall infection burden but fewer severe cases among urban poor versus the less socioeconomically vulnerable population. With self-isolation by mildly symptomatic individuals, median reductions in cumulative infections, severe cases, and maximum daily incidence were 7.6% (IQR: 2.2%-20.9%), 7.0% (2.0%-18.5%), and 9.9% (2.5%-31.4%), respectively, in the urban poor subpopulation and 16.8% (5.5%-29.3%), 15.0% (5.0%-26.4%), and 28.1% (9.3%-47.8%) in the less socioeconomically vulnerable population. An increase in the maximum attainable percentage of behavior adoption by the urban slum subpopulation was associated with median reductions of 19.2% (10.1%-34.0%), 21.1% (13.3%-34.2%), and 26.0% (11.5%-48.9%) relative to the status quo scenario.

CONCLUSIONS

Post-lockdown recommendations that prioritize home-isolation by confirmed cases are limited by resource constraints. Investing in community-based initiatives that coordinate support for self-identified cases and their contacts could more effectively suppress COVID-19 in settings with socioeconomic vulnerabilities.

Health, quality of life, and wellbeing of older slum dwellers in sub-Saharan Africa: A scoping review

A growing population of older adults resides in sub-Saharan Africa's urban slums. Although environmental conditions in slums are adversarial, there is limited knowledge on the wellbeing of older adults residing in these settings. This review sought to understand the scope, extent, and nature of current research on the health and wellbeing of older slum dwellers in sub-Saharan Africa. We searched 8 bibliographic databases for studies examining the health and wellbeing of older slum dwellers in the region. We also completed a grey literature search. The literature search together yielded 3,388 records, of which we selected 25 for review following a rigorous screening process. The included studies covered a variety of health issues of concern to older slum dwellers: (1) disease and injury prevalence; (2) self-assessed health and quality of life status; (3) physical/mental health impairment and disability; (4) healthcare access and utilisation; and (5) sociodemographic disparities in health and wellbeing. The gaps in this literature include a regional bias in research efforts, near absence of non-slum control samples, and limited research on the health impacts of the built environment of slums. Suggestions for future research are presented.

Quality of life of older adults in two contrasting neighbourhoods in Accra, Ghana

As is the case elsewhere in sub-Saharan Africa, Ghana is experiencing a rapid increase in the population of older adults. Despite their rising numbers, the living conditions and wellbeing of older Ghanaians remain woefully understudied. This paper presents the results of a study exploring the quality of life (QoL) of older adults in two contrasting neighbourhoods in Accra, Ghana. The objectives of the study were to: (1) explore and compare the QoL of older slum and non-slum dwellers in Ghana; and (2) determine the extent of QoL disparities between slum and non-slum older adults. To accomplish these objectives, we undertook a cross-sectional survey of older adults (N = 603) residing in a slum and non-slum neighbourhood. QoL was self-assessed in four domains - physical, psychological, social, and environment - using the World Health Organization (WHO) QoL assessment tool (WHOQoL-BREF). Multivariable linear regression analyses of the data revealed no statistically significant difference between the slum and non-slum respondents in physical (coeff: 0.5; 95% CI: -1.7, 2.8; p = 0.642) and psychological (coeff: -0.2; 95% CI: -3.0, 2.6; p = 0.893) QoL. However, the slum respondents reported significantly higher social QoL than the non-slum respondents (coeff: -3.2; 95% CI: -5.6, -0.8; p = 0.010), while the reverse was true in environmental QoL (coeff: 4.2; 95% CI: 2.3, 6.2; p < 0.001). The existence of strong social support systems in the slum and better housing and neighbourhood environmental conditions in the non-slum may have accounted for the observed variation in social and environmental QoL. Thus, contrary to popular discourses that vilify slums as health-damaging milieus, these findings offer a more nuanced picture, and suggest that some features of slums may constitute important health resources for older adults.

Community Drivers Affecting Adherence to WHO Guidelines Against COVID-19 Amongst Rural Ugandan Market Vendors

Background: Market vendors occupy a strategic position in the fight against the spread of SARS CoV-2 in rural Uganda. To successfully contain the spread of the virus, special attention needs to be given to this set of people by assessing the type of information, source of information, and practices they inculcate as regards adherence to WHO guidelines in the fight against COVID-19 in Uganda. The study aimed to assess the role of information sources, education level, and phone internet connectivity in influencing COVID-19 knowledge among the rural market vendors; and the relationship existing between knowledge, attitude, and practices among them. Methods: The study was a descriptive cross-sectional study among rural market vendors (n = 248) in southwestern Uganda. Information was collected using a questionnaire and descriptively presented as frequency and percentages. Results: The study showed that the majority of the rural market vendors had sufficient information regarding COVID-19 with the majority being female individuals and have attained a secondary level of education, The general percentage score for knowledge, attitude, and practices were (75.57, 82.6, and 76.50% respectively). There was a positive correlation between attitude and practices (r = 0.17, p = 0.007), as well as their knowledge with practices (r = 0.29, p < 0.001). The majority of the people in the population did not have their phones connected to the internet (OR = 1.96, 95%CI: 1.16-3.31, P = 0.01). The majority of people received their information regarding COVID-19 from one source (radio) (OR = 1.55). Conclusion: Where and how the rural market vendors get their information and education level are vital in breaking COVID 19 infection circle in line with WHO guidelines. Therefore, sources of information and education level played a key role in molding their knowledge and practices. However, the level of knowledge on COVID 19 among our respondents was not linked with phone internet connectivity.

A comparative analysis of disability measures in Cameroonian surveys

Background

Although identifying vulnerable groups is an important step in shaping appropriate and efficient policies for targeting populations of disabled people, it remains a challenge. This study aims to evaluate for the first time the comparability of the different disability measurements used in Cameroon. This is done by comparing them with the international standards proposed by the Washington Group (WG). It also evaluates the consistency of the association between the disability as measured by these surveys and the sociodemographic characteristics.

Method

We used data from the third Cameroonian Population and Housing Census (3RGPH) of 2005, the third Cameroonian Household survey (ECAM3) of 2007, the Demographic Health and Multiple Indicator Cluster Survey (DHS-MICS) of 2011 and a survey conducted on adults in Yaoundé (HandiVIH) in 2015 with the WG tool. The proportion and their confidence intervals, chi-square tests and multivariate logistic regressions are used for analyses.

Results

In the city of Yaoundé and for the 15–49 age group, disability prevalence was estimated at 3.6% (CI = [2.5, 5.1]), 2.7% CI = [2.1, 3.5]), 2.6% (CI = [2.4, 2.7]) and 1.0% (CI = [1.0, 1.10]), according to DHS-MICS, ECAM3, HandiVIH and 3RGPH, respectively. The prevalence of severe motor and mental disabilities in DHS-MICS (0.4% CI = [0.2, 0.8], 1.1% CI = [0.7, 1.8] and 0.5% CI = [0.2, 1.1], respectively) are not significantly different from the findings of HandiVIH (0.3% CI = [0.2, 0.3], 0.8% CI = [0.7, 0.9] and 0.5% CI = [0.5, 0.6], respectively). Only motor disability prevalence in ECAM3 (0.8%, CI = [0.5, 1.2]) is not different from that of HandiVIH. When the WG screening tool is used in HandiVIH, disability is positively associated with age, negatively associated with educational level, being in a union and socioeconomic status (SES) and it is not associated with sex. Severe disability, for its part, is not associated with SES and is positively associated with being a male. A different association trend is observed with 3RGPH, ECAM3 and DHS-MICS.

Conclusion

None of the instruments used in the nationally representative Cameroonian surveys produced both disability prevalence and association trends that are exactly similar to those obtained when using the WG disability screening tool, thus highlighting the necessity to include the WG questions in nationally representative surveys.