Knowledge, Attitude and Perceptions of Village Residents on the Health Risks Posed by Kadhodeki Dumpsite in Nairobi, Kenya.

This study sought to assess the knowledge, attitude and perceptions of the residents of Kadhodeki village on the health risks posed by the Kadhodeki dumpsite. Using households as units of sampling, a descriptive cross sectional survey was carried out in June 2012. Random data were collected using a face-to-face researcher administered structured questionnaire and 323 participants were interviewed. Chi square was used to determine the association between the different variables. Findings indicate that residents possess a significantly low knowledge and a positive attitude (χ2 (1) = 224.03, p < 0.01; χ2 (1) = 8.697, p < 0.01) towards the Kadhodeki dumpsite. They were however no differences in risk perceptions. Participant’s age, duration one had lived in the village and their level of education, were proxy measures of knowledge, attitude and perception. Odds ratio analysis indicates that age and duration did not influence participant’s knowledge, attitude or perceptions. Rudimentary however, education accounted for a non significant 28% variation in respondents’ attitude towards the health risks of the dumpsite (OR= 1.282; CI 0.828- 1.997). Also adequate education significantly accounted for 67% variation in respondents’ health risk perception (OR= 1.671; CI 1.304-2.140). This study would recommend that the ministry of Health come up with health education programmes for the general population on the dangers of uncontrolled waste disposal sites

Helmet wearing in Kenya: prevalence, knowledge, attitude, practice and implications

© 2016 The Authors Objectives In light of the increasing prevalence of motorcycles on Kenyan roads, there is a need to address the safety of individuals using this mode of transport. Helmet use has been proven to be effective in preventing head injuries and fatalities in the event of a crash. This study aims to understand the prevalence of helmet use as well as knowledge, attitudes, and practices in two districts in Kenya over a 5-year period (2010–2014). Study design Observational studies on helmet use at randomly selected locations throughout each district were done every quarter to estimate the prevalence of helmet use. Roadside knowledge, attitude, and practice (KAP) surveys were done two times a year in each district. Methods Helmet use among motorcycle drivers and passengers in Thika and Naivasha was assessed through systematic observations at randomly selected locations in the two districts between August 2010 and December 2014. Roadside KAP surveys were administered in both sites to motorcyclists in areas where they stopped, including motorcycle bays, petrol stations and rest areas near the helmet observation sites. Secondary analysis of trauma registries was also used. Negative binomial regressions were used to assess trends of helmet wearing among motorcyclists over time, and logistic regressions were used to analyze associated risk factors as well as association with health outcomes among those admitted to the four hospitals. Results A total of 256,851 motorcycles were observed in the two target districts during the study period. Overall, prevalence of helmet use among motorcycle drivers in Thika and Naivasha across all periods was 35.12% (95% confidence interval [CI]: 34.87%–35.38%) and 37.42% (95% CI: 37.15%–37.69%) respectively. Prevalence of helmet wearing remained similar after the passage of a traffic amendment bill. These results were not statistically significant in either Thika or in Naivasha. Data from the KAP survey showed that respondents recognized the life-saving effect of wearing a helmet, but many did not always wear a helmet because they found it inconvenient/uncomfortable. Analysis of trauma registry data showed that helmet wearing was associated with a significant reduction in head injuries among motorcyclists (adjusted odds ratio: 0.472, 95% CI: 0.327–0.684). Conclusions This study highlights the low prevalence of helmet use and documents the potential reduction in the risk of head injuries to motorcyclists if this risk factor was addressed. The passage of a traffic amendment bill showed negligible impact on helmet use. This highlights the need for a multi-faceted strategy that includes media campaigns and widespread enforcement in addition to legislative change for improving helmet use

Attitudes towards vaccines and intention to vaccinate against COVID-19: a cross-sectional analysis - implications for public health communications in Australia

Objective To examine SARS-CoV-2 vaccine confidence, attitudes and intentions in Australian adults as part of the iCARE Study. Design and setting Cross-sectional online survey conducted when free COVID-19 vaccinations first became available in Australia in February 2021. Participants Total of 1166 Australians from general population aged 18-90 years (mean 52, SD of 19). Main outcome measures Primary outcome: responses to question € If a vaccine for COVID-19 were available today, what is the likelihood that you would get vaccinated?'. Secondary outcome: analyses of putative drivers of uptake, including vaccine confidence, socioeconomic status and sources of trust, derived from multiple survey questions. Results Seventy-eight per cent reported being likely to receive a SARS-CoV-2 vaccine. Higher SARS-CoV-2 vaccine intentions were associated with: increasing age (OR: 2.01 (95% CI 1.77 to 2.77)), being male (1.37 (95% CI 1.08 to 1.72)), residing in least disadvantaged area quintile (2.27 (95% CI 1.53 to 3.37)) and a self-perceived high risk of getting COVID-19 (1.52 (95% CI 1.08 to 2.14)). However, 72% did not believe they were at a high risk of getting COVID-19. Findings regarding vaccines in general were similar except there were no sex differences. For both the SARS-CoV-2 vaccine and vaccines in general, there were no differences in intentions to vaccinate as a function of education level, perceived income level and rurality. Knowing that the vaccine is safe and effective and that getting vaccinated will protect others, trusting the company that made it and vaccination recommended by a doctor were reported to influence a large proportion of the study cohort to uptake the SARS-CoV-2 vaccine. Seventy-eight per cent reported the intent to continue engaging in virus-protecting behaviours (mask wearing, social distancing, etc) postvaccine. Conclusions Most Australians are likely to receive a SARS-CoV-2 vaccine. Key influencing factors identified (eg, knowing vaccine is safe and effective, and doctor's recommendation to get vaccinated) can inform public health messaging to enhance vaccination rates

How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses

COVID-19 research has relied heavily on convenience-based samples, which—though often necessary—are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVID-19 surveys and evaluate the degree to which common statistical adjustments for demographic covariates successfully attenuate such bias. This registered study analysed responses to identical questions from three convenience and three largely representative samples (total N = 13,731) collected online in Canada within the International COVID-19 Awareness and Responses Evaluation Study (www.icarestudy.com). We compared samples on 11 behavioural and psychological outcomes (e.g., adherence to COVID-19 prevention measures, vaccine intentions) across three time points and employed multiverse-style analyses to examine how 512 combinations of demographic covariates (e.g., sex, age, education, income, ethnicity) impacted sampling discrepancies on these outcomes. Significant discrepancies emerged between samples on 73% of outcomes. Participants in the convenience samples held more positive thoughts towards and engaged in more COVID-19 prevention behaviours. Covariates attenuated sampling differences in only 55% of cases and increased differences in 45%. No covariate performed reliably well. Our results suggest that online convenience samples may display more positive dispositions towards COVID-19 prevention behaviours being studied than would samples drawn using more representative means. Adjusting results for demographic covariates frequently increased rather than decreased bias, suggesting that researchers should be cautious when interpreting adjusted findings. Using multiverse-style analyses as extended sensitivity analyses is recommended