This paper examines the evaluation of two vital public health programs: the Tuberculosis (TB) Support Program in Lull County and the experiences of childbearing individuals during the COVID-19 pandemic. Both evaluations utilized mixed-method approaches, combining quantitative data like adherence ra...
The evaluation of public health programs, such as tuberculosis (TB) control initiatives
and studies on childbirth during the COVID-19 pandemic, necessitates the integration of both
quantitative and qualitative data to achieve a comprehensive assessment of their efficacy. This
discussion examines two distinct evaluations: the TB Support Program in Lull County and an
investigation into childbearing experiences during the COVID-19 pandemic in the United States.
Both evaluations employed a combination of quantitative data—such as patient adherence rates
and survey results—and qualitative insights derived from patient surveys and thematic content
analysis. These methodologies enabled a nuanced understanding of program outcomes and the
factors influencing these results. The evaluations underscore the significance of culturally
sensitive approaches, stakeholder involvement, and targeted outreach in enhancing health
outcomes and ensuring that healthcare services are responsive to the needs of diverse
populations.
Types of Data Used
Tuberculosis Program Evaluation
The evaluation employed a mixed-methods approach to comprehensively assess the
program's effectiveness. Quantitative data on patient adherence rates were integrated with
qualitative insights from patient surveys to explore not only adherence patterns but also the
underlying reasons for patients' trust or mistrust in the treatment process. Frequency counts were
conducted to quantify the number of Salvadoran individuals treated for tuberculosis (TB) or
latent TB infection (LTBI) and to assess the presence of qualified bilingual and bicultural staff
(Garcia, 2003). For instance, the evaluation team reviewed clinic records to track the monthly
treatment of Salvadoran patients and the recruitment of local health advisors (LHAs). Clinical
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