BACKGROUND: There is very little published data assessing hospital pharmacy practice in Saudi Arabia. Hence, a comprehensive survey has been undertaken to evaluate hospital pharmacy services of the Kingdom of Saudi Arabia. Recently, we published the survey results on the prescribing and transcribing steps of the medication use process. This paper focuses on dispensing and administration. METHODS: A modified-American Society of Health-System Pharmacists (ASHP) survey questionnaire was personally delivered to the pharmacy directors of 48 hospitals in the Riyadh region. Three attempted follow-ups were made within 3 months to non-responders and the surveys were collected upon completion. The survey was conducted using similar methods to those of the ASHP surveys. RESULTS: Twenty-nine hospitals participated in the survey with a response rate of 60.4%. Centralized distribution (74%) is the most commonly used model for inpatient pharmacies. Overall, 21% of hospitals routinely use bar coding technology in medication dispensing. None of the hospitals are using a robotic distribution system to automate the dispensing of unit doses. Automated dispensing cabinets (ADCs) are used by 21% of hospitals as part of their decentralized distribution model. Sixty-one percent of hospital pharmacies have IV admixture preparation area in their facility. In the use of safety technology for medication administration, only one third of hospitals are using electronic medication administration records (eMARs), 7.4% had bar-code-assisted medication administration (BCMA) and 12% had smart infusion pumps. CONCLUSION: Hospital pharmacies in the Riyadh region are fairly well developed in providing dispensing and administration services. Further improvement can be achieved by increasing the use of new technologies such as bar-code technology, unit dose drug distribution systems, pharmacy-based IV admixture services, smart infusion pumps, and automated medication distribution.
BACKGROUND: There is very little published data assessing hospital pharmacy practice in Saudi Arabia. Hence, a comprehensive survey has been undertaken to evaluate hospital pharmacy services of the Kingdom of Saudi Arabia. Recently, we published the survey results on the prescribing and transcribing steps of the medication use process. This paper focuses on dispensing and administration. METHODS: A modified-American Society of Health-System Pharmacists (ASHP) survey questionnaire was personally delivered to the pharmacy directors of 48 hospitals in the Riyadh region. Three attempted follow-ups were made within 3 months to non-responders and the surveys were collected upon completion. The survey was conducted using similar methods to those of the ASHP surveys. RESULTS: Twenty-nine hospitals participated in the survey with a response rate of 60.4%. Centralized distribution (74%) is the most commonly used model for inpatient pharmacies. Overall, 21% of hospitals routinely use bar coding technology in medication dispensing. None of the hospitals are using a robotic distribution system to automate the dispensing of unit doses. Automated dispensing cabinets (ADCs) are used by 21% of hospitals as part of their decentralized distribution model. Sixty-one percent of hospital pharmacies have IV admixture preparation area in their facility. In the use of safety technology for medication administration, only one third of hospitals are using electronic medication administration records (eMARs), 7.4% had bar-code-assisted medication administration (BCMA) and 12% had smart infusion pumps. CONCLUSION: Hospital pharmacies in the Riyadh region are fairly well developed in providing dispensing and administration services. Further improvement can be achieved by increasing the use of new technologies such as bar-code technology, unit dose drug distribution systems, pharmacy-based IV admixture services, smart infusion pumps, and automated medication distribution.
Keywords:
Dispensing errors; Distribution system; Medication errors; Patient safety; Pharmacy automation; Practice model; Technology
Authors: Mohammed S Alsultan; Fowad Khurshid; Heba J Salamah; Ahmed Y Mayet; Ahmed H Al-Jedai Journal: Saudi Pharm J Date: 2011-11-10 Impact factor: 4.330
Authors: Kathleen A Skibinski; Barbara A White; Lawrence I-Kuei Lin; Yuping Dong; Wenting Wu Journal: Am J Health Syst Pharm Date: 2007-01-01 Impact factor: 2.637