The Ghana Health Service has been implementing the Directly Observed Therapy Short Course (DOTS) strategy for decades now, to cure and reduce the transmission of tuberculosis. DOTS strategy requires TB patients and their treatment supporters to make multiple clinic visits in the course of treatment, and this may place financial burden on treatment supporters with low socio-economic status. However, the determinants of tuberculosis treatment support costs to treatment supporters are unknown in Ghana.
This study determined the costs associated with treatment support to the treatment supporters in Bono Region, Ghana.
In a cross-sectional study using cost-of-illness approach, 385 treatment supporters were selected and interviewed. A validated questionnaire for the direct and indirect costs incurred was used. Descriptive statistics and bivariate techniques were used for data analysis.
Averagely, each treatment supporter spent GHS 122.4 (US$ 21.1) on treatment support activities per month, which is about 19% of their monthly income. The findings also revealed that highest level of education, household size, monthly income and district of residence were significant predictors of the direct costs. On the other hand, gender of the respondents, highest level of education, ethnicity, household size, income level and relationship with patient were some of the factors that significantly influenced the indirect costs. The significance levels were set at a 95% confidence interval and p < 0.05.
The study concludes that the estimated cost associated with assisting tuberculosis patients with treatment is significant to treatment supporters. If these costs are not mitigated, they have the tendency of affecting the socio-economic status and welfare of individuals assisting tuberculosis patients with treatment.
Citation: Robert Bagngmen Bio, Patricia Akweongo, Augustine Adomah-Afari, Augustina Koduah. Determinants of tuberculosis treatment support costs to the treatment supporters in rural Ghana[J]. AIMS Public Health, 2023, 10(1): 78-93. doi: 10.3934/publichealth.2023007
The Ghana Health Service has been implementing the Directly Observed Therapy Short Course (DOTS) strategy for decades now, to cure and reduce the transmission of tuberculosis. DOTS strategy requires TB patients and their treatment supporters to make multiple clinic visits in the course of treatment, and this may place financial burden on treatment supporters with low socio-economic status. However, the determinants of tuberculosis treatment support costs to treatment supporters are unknown in Ghana.
This study determined the costs associated with treatment support to the treatment supporters in Bono Region, Ghana.
In a cross-sectional study using cost-of-illness approach, 385 treatment supporters were selected and interviewed. A validated questionnaire for the direct and indirect costs incurred was used. Descriptive statistics and bivariate techniques were used for data analysis.
Averagely, each treatment supporter spent GHS 122.4 (US$ 21.1) on treatment support activities per month, which is about 19% of their monthly income. The findings also revealed that highest level of education, household size, monthly income and district of residence were significant predictors of the direct costs. On the other hand, gender of the respondents, highest level of education, ethnicity, household size, income level and relationship with patient were some of the factors that significantly influenced the indirect costs. The significance levels were set at a 95% confidence interval and p < 0.05.
The study concludes that the estimated cost associated with assisting tuberculosis patients with treatment is significant to treatment supporters. If these costs are not mitigated, they have the tendency of affecting the socio-economic status and welfare of individuals assisting tuberculosis patients with treatment.
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Robert Bagngmen Bio, Patricia Akweongo, Augustine Adomah-Afari, Augustina Koduah. Determinants of tuberculosis treatment support costs to the treatment supporters in rural Ghana[J]. AIMS Public Health, 2023, 10(1): 78-93. doi: 10.3934/publichealth.2023007
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