Background: The number of outpatients visiting large university teaching hospitals has increased drastically with the introduction of a nationwide health care insurcnce in 1989 and the improvement of the socio-economic status of the population. This r...
Background: The number of outpatients visiting large university teaching hospitals has increased drastically with the introduction of a nationwide health care insurcnce in 1989 and the improvement of the socio-economic status of the population. This resulted in long waiting times for services, parlicularly prescribed drugs, which have been patients chief complaints. Hospitals have tried to solve the problem with limited success because their approach lacked comprehansive research. The objective of this study is to investigate associations between waiting times and variables defining a total work system.
Methods: Data for the outpatient pharmacy department in a tertiary care university teaching hospital located in Seoul was analyzed to achieve the study objective. Associations of pharmacy system variables -work load, work force, pharmacist work schedule, machine problems, and inventory control- with mean and 99th percentile of waiting times were examined by the hierarchical stepwise regression method. Day was a unit of the analyses.
Results: The regression models explained 65.8% of variance in the mean waiting time and 61.34% in the 99th percentile of waiting times. The break-down of the printer for drug envelops, Automatic Tablet Counters (ATCs), and main compute system lasted longer than 30 minutes increased the mean for 7.7 minutes, 4.5 minutes, and 7.0 minutes, respectively and the 99th percentile for 14.8 minutes, 9.0 minutes, and 15.7 minutes, respectively. Concerning the work force, study results showed that there were significant differences in the productivity of pharmacists with work experience more than three years, one to three years, and less than one year, and showed that peak time aid work by pharmacists at job assignments other than the outpatient pharmacy, part-time pharmacists, and the installation of ATCs were effective in reducing waiting times. Finally, study findings indicated that the operational policy of work assignment and rotation schedule, supply and inventory of drugs at work tables, and readiness for undisrupted work during the work hours could have a significant effect on waiting times.
Conclusion: The study results indicated that efforts to reduce waiting times for prescribed drugs should be geared toward every components of the pharmacy work system ranging from work schedule of pharmacists and supply of drugs at work tables. These findings should provide hospital managers with right directions in battling the problem.