Browsing by Author "Oguya, Francis"

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Demographic Factors Associated with Health-Related Quality of Life Among Urban and Rural Tuberculosis Patients in Kenya
(Bilingual Publishing, 2019-12-31) Oguya, Francis; Mbuti, Humphrey; Mwaniki, Elizabeth
Background: Tuberculosis is one of the deadliest and disabling diseases in the world today. The infection exacts its greatest toll on individuals during their most productive years. TB patients record different perceived health related qualities of life(PHRQoL) which could be attributed to certain environmental,social and physical factors. The objective of the study was to determine the demographic factors associated with the PHRQoL among urban and rural Tuberculosis patients in Kenya. Cross sectional design was adopted. The study applied the multi-stage sampling technique. Random sampling method was used to select the TB clinics that participated in the study. Simple random sampling according to probability proportionate to TB patient’s population was preferred to select the study participants. Chisquare test determined association between the various demographic factors and the PHRQoL while ANOVA tests demonstrated the overall association of demographic factors and PHRQoL. Statistical Significance was evaluated at p<0.05. Descriptive statistics summarized and described the data. The study established that demographic factors are associated with PHRQoL (p=0.008). Specifically, age, levels of education, marital status and house hold size (P<0.05). Gender and Household head were not significantly associated with the PHRQoL (p>0.05). These findings will persuade the TB management policy towards developing an intervention programs directed at the social-demographic characteristics of the TB patients for improved treatment outcomes.
Factors associated with default from treatment among tuberculosis patients in Nairobi province, Kenya: A case control study
(BMC Public Health, 2011) Oguya, Francis; Keraka, Margaret N; Kimuu, Peter K
Background: Successful treatment of tuberculosis (TB) involves taking anti-tuberculosis drugs for at least six months. Poor adherence to treatment means patients remain infectious for longer, are more likely to relapse or succumb to tuberculosis and could result in treatment failure as well as foster emergence of drug resistant tuberculosis. Kenya is among countries with high tuberculosis burden globally. The purpose of this study was to determine the duration tuberculosis patients stay in treatment before defaulting and factors associated with default in Nairobi. Methods: A Case-Control study; Cases were those who defaulted from treatment and Controls those who completed treatment course between January 2006 and March 2008. All (945) defaulters and 1033 randomly selected controls from among 5659 patients who completed treatment course in 30 high volume sites were enrolled. Secondary data was collected using a facility questionnaire. From among the enrolled, 120 cases and 154 controls were randomly selected and interviewed to obtain primary data not routinely collected. Data was analyzed using SPSS and Epi Info statistical software. Univariate and multivariate logistic regression analysis to determine association and Kaplan-Meier method to determine probability of staying in treatment over time were applied. Results: Of 945 defaulters, 22.7% (215) and 20.4% (193) abandoned treatment within first and second months (intensive phase) of treatment respectively. Among 120 defaulters interviewed, 16.7% (20) attributed their default to ignorance, 12.5% (15) to traveling away from treatment site, 11.7% (14) to feeling better and 10.8% (13) to side effects. On multivariate analysis, inadequate knowledge on tuberculosis (OR 8.67; 95% CI 1.47-51.3), herbal medication use (OR 5.7; 95% CI 1.37-23.7), low income (OR 5.57, CI 1.07-30.0), alcohol abuse (OR 4.97; 95% CI 1.56-15.9), previous default (OR 2.33; 95% CI 1.16-4.68), co-infection with Human immune-deficient Virus (HIV) (OR 1.56; 95% CI 1.25-1.94) and male gender (OR 1.43; 95% CI 1.15-1.78) were independently associated with default. Conclusion: The rate of defaulting was highest during initial two months, the intensive phase of treatment. Multiple factors were attributed by defaulting patients as cause for abandoning treatment whereas several were independently associated with default. Enhanced patient pre-treatment counseling and education about TB is recommended.
Social Demographic Factors Associated with Adherence to Treatment Among Urban and Rural Tuberculosis Patients in Kenya.
(International Journal of Medical Science and Health Research, 2020) Oguya, Francis; Mbuti, Humphrey; Mwaniki, Elizabeth
Background: Tuberculosis is a Global Public Health concern with serious Economic and Social Burden to the Patient and the Household. Because of the long duration of Standard Treatment there is a Risk of Treatment Default by Patients. The Objective of the Study was to determine the Social Demographic Factors Associated with Adherence to Treatment among the Urban and Rural Tuberculosis Patients in Kenya. The Cross Sectional Study Design was adopted. The Study applied the Multi-Stage Sampling Technique. Random Sampling Method was used to select the TB Clinics that Participated in the Study. Simple Random Sampling according to Probability Proportionate to TB Patient’s Population was preferred to select the Study Participants. Chi-Square Test determined Association between the various Social Demographic factors and the Adherence to treatment while ANOVA Test demonstrated the overall Association of Social Demographic factors and Adherence to TB Treatment. Statistical Significance was evaluated at p<0.05. Descriptive Statistics summarized and described the data. The Study established that Demographic Factors were Associated with adherence to TB treatment. Specifically, Gender, Level of Education, Place of Residence were found to be Significant (P<0.05). Age, Marital Status, Primary Occupation and Household Head were not Significantly Associated with adherence to TB treatment (p>0.05). These Findings will persuade the TB Management Policy towards developing Intervention Programs directed at the Social-Demographic Characteristics of the TB patient for improved Treatment Outcomes.