ABSTRACT
The purpose of this study was to assess the efficiency of hospital pharmacy services and to determine the environmental factors affecting pharmacy service efficiency. The technical efficiency of a hospital pharmacy was assessed to evaluate the hospital's ability to use pharmacy manpower in order to produce the maximum output of the pharmacy service. Data Envelopment Analysis (DEA) was used as an efficiency measurement. The two labor inputs were pharmacists and support personnel and the ten outputs were from four pharmacy activities: drug dispensing, drug purchasing and inventory control, patient-oriented activities, and health consumer protection services. This was used to estimate technical efficiency. A Tobit regression model was used to determine the effect of the hospital size, location, input mix of pharmacy staff, working experience of pharmacists at the study hospitals, and use of technology on the pharmacy service efficiency. Data for pharmacy service input and output quantities were obtained from 155 respondents. Nineteen percent were found to have full efficiency with a technical efficiency score of 1.00. Thirty-six percent had a technical efficiency score of 0.80 or above and 27% had a low technical efficiency score (< 0.60). The average TE score increased in respect to the hospital size (0.60, 0.71, 0.75, and 0.83 in 10, 30, 60, and 90-120 bed hospitals, respectively). Hospital size and geographic location were significantly associated with pharmacy service efficiency.
Subject(s)
Efficiency, Organizational , Hospitals, District , Humans , Pharmacy Service, Hospital/methods , ThailandABSTRACT
OBJECTIVE: To assess reliability and validity of the Thai abbreviated version of World Health Organization quality of life (WHOQOL-BREF-THAI) in HIV/AIDS patients. MATERIAL AND METHOD: The present study is descriptive research. Data were purposefully collected from 120 HIV/AIDS outpatients at Bamrasnaradura Infectious Disease Institute, Thailand, during September-December 2004. RESULTS: Cronbach's alpha ranged from 0.61 to 0.81 across domains. Exploratory factor analysis identified four major domains: physical, psychological, social and environmental domains, corresponding to the four WHOQOL-BREF domains. The four domain scores correlated positively with general health satisfaction and overall quality of life questions (all p < 0.01 except general health & social domain p < 0.05), and correlated negatively with the frequency and severity of HIV symptoms (all p < 0.01). The four domain scores discriminated between patients with higher and lower frequency and severity of HIV symptoms (all p < 0.01). CONCLUSION: The present study shows that WHOQOL-BREF THAI can be a good generic health-related quality of life instrument in HIV/AIDS patients.