Influence of Private Health Workers’ Attributes on Uptake of Pensions in Nairobi County

Abstract

The purpose of this study is to determine the influence of private health workers attributes on uptake of pensions in Nairobi County. The study was guided by these specific objectives: to establish how the education of private health workers in Nairobi County influences their uptake of pension; to determine the influence of the culture of private health workers in Nairobi influences uptake of pension and finally to establish how the incomes of private health workers in Nairobi influences the uptake of pension. This study applied causal research design as the most effective research design tool to address the research problem. The population of this study was made up of 2,184 private health workers working in the 11 private hospitals who are registered members of the KAPH in Nairobi County. A sample size of 338 private health workers was obtained using the Yamane (1967). Simple random sampling was adopted in getting the respondents who took part in the study. The study collected primary data using close ended questionnaires and responses from the questionnaire were documented, collated and entered into Statistical Package for the Social Sciences (SPSS) for analysis. Causal research design was used where means and standard deviation were obtained. The findings were presented in tables and figures. The first objective sought to establish how the education of private health workers in Nairobi County influenced the uptake of pension. From correlation results, education is a strong and positive correlate of uptake of pension (r=0.829, p<0.05). In view of regression results, it emerged that education is a significant predictor of uptake of pension (β=.373, p<0.05). Furthermore, 68.5% change in uptake of pension is explained by education (Adjusted R2=0.685). The second objective sought to determine how the culture of private health workers in Nairobi County influence uptake of pension. The findings from correlation analysis were that culture has a strong and positive relationship with the uptake of pension (r=0.925, p<0.05). As per regression results, culture had significant effect on uptake of pension (β=0.274, p<0.05). Besides, 85.5% change in uptake of pension is explained by culture (Adjusted R2=0.855). The last objective aimed at establishing how the private health workers in Nairobi County incomes influence the uptake of pension. The findings of correlation analysis were that incomes are positive predictors of uptake of pension (r=0.917, p<0.05). The findings on regression analysis were that incomes have a strong significant effect on uptake of pension (β=1.020, p<0.05). Regression analysis further pointed out that 84.0% change in uptake of pension is scheme is explained by incomes (Adjusted R2=0.840). Multiple regression analysis points out that all the three variables are significant predictors of uptake of pension in Nairobi County with education (β=0.073, p<0.05), culture (β=0.190, p<0.05) and income (β=0.499, p<0.05) with an overall adjusted R2 =0.869. All the three factors that is education, culture and incomes have positive and significant relationship with pension uptake. Furthermore, all the three factors are able to explain between 68.5% to 85.5% of the variation of pension uptake. The study recommends that the management team of Retirement Benefit Authority should organize for more workshops and seminars for private healthcare workers in Nairobi County so as to enhance their level of education and this was found to have significant effect on uptake of pension. The human resource managers working in private health facilities in Nairobi should invest more in modifying the social influence and beliefs of the employees as far as the uptake of pension is concerned. Private health workers with irregular earnings should also be encouraged to set aside a proportion of their salaries on retirement. The salary structure should be enhanced to improve the rate of pension uptake.