Volume 23, Issue 1, May 2016, Pages 196–200
Lesego Selotlegeng1, Peter Twum2, and Lingzhong Xu3
1 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
2 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
3 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background: Over the preceding few years, the rate of individuals that have been living without health insurance has continued to increase exponentially. This paper the aim was on investigating the factors determining the demand for health insurance among migrants Botswana. Methods: A cross sectional study conducted between August 2013 to January 2014 in Gaborone and Francistown. Descriptive statistics and multivariate logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with participation in the health insurance. Results: The likelihood ratio chi-square of 42.09 with a p-value of 0.0000 indicated model as a whole fits significantly better than an empty model. We can say that for a one unit increase in employment category level, the odds in favour of owning insurance increases by a factor of 0.31. Conclusions: The results from the study revealed that gender of an individual was significant in determining the health insurance ownership among tuberculosis patients. A possible policy solution that would make health insurance compulsory would help to increase the demand for medical aid scheme.
Author Keywords: Health insurance, migrant workers, Botswana.
Lesego Selotlegeng1, Peter Twum2, and Lingzhong Xu3
1 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
2 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
3 Department of Social Medicine and Health Services Management, School of Public Health, Shandong University, Jinan, China
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background: Over the preceding few years, the rate of individuals that have been living without health insurance has continued to increase exponentially. This paper the aim was on investigating the factors determining the demand for health insurance among migrants Botswana. Methods: A cross sectional study conducted between August 2013 to January 2014 in Gaborone and Francistown. Descriptive statistics and multivariate logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with participation in the health insurance. Results: The likelihood ratio chi-square of 42.09 with a p-value of 0.0000 indicated model as a whole fits significantly better than an empty model. We can say that for a one unit increase in employment category level, the odds in favour of owning insurance increases by a factor of 0.31. Conclusions: The results from the study revealed that gender of an individual was significant in determining the health insurance ownership among tuberculosis patients. A possible policy solution that would make health insurance compulsory would help to increase the demand for medical aid scheme.
Author Keywords: Health insurance, migrant workers, Botswana.
How to Cite this Article
Lesego Selotlegeng, Peter Twum, and Lingzhong Xu, “Factors determining the demand for health insurance among the migrant workers,” International Journal of Innovation and Scientific Research, vol. 23, no. 1, pp. 196–200, May 2016.
