Control variables in the regression model were health facility rural urban location, gender of health facility manager/owner, and presence of complaint system.
Age, gender, type of facility, level of education and occupation were found to be significant predictors of the total income lost (by patients and household) due to TB disease.
Essential indicators such as bed occupancy rates, average length of stay, bed turnover rates, utilization by age, gender, type of facility-central hospital, district hospital, health centres are not reported to HMIS.
The shape of the fundamental diagram is characterised by type of facility, gender, age, space requirements for the pedestrians and so on.
Gender, marital status, type of facility and health worker category were not significantly associated with actively seeking alternative employment.
Type of facility, gender, referral, duration of enrolment, educational status, income level, and type of marital status were most related with responsiveness domains.
Summary statistics were generated with gender, type of provider, type of facility, working status and reasons for leaving as the categorical variable.
Age, gender, facility of diagnosis, level of education and occupation were significant (p-values <0.05) associated with total (both patients and their households) income lost.
Univariate General Linear Model showed that age, gender, facility of diagnosis, level of education and occupation were statistically significant (p-values <0.05) predictors of the total (both patients and their households) income lost.
Data were then prepared for entry into ATLAS Ti by filing transcripts using identifiers such as district, ownership, type of facility, cadre and gender.
