Objective:To explore the application of plan–do–check–action(PDCA)cycle in the management of the naked medicine dispensing about the automatic package and to analyze the practice improved in the quality of naked me...Objective:To explore the application of plan–do–check–action(PDCA)cycle in the management of the naked medicine dispensing about the automatic package and to analyze the practice improved in the quality of naked medicine dispensing medicine management.Methods:The PDCA theory was used to analyze the data,to find out the causes of the problem,and to formulate the corresponding countermeasures to intervene.The data of the naked medicine/adverse drug events satisfaction degree of the inpatients in 18 inpatient departments given for the adoption of PDCA cycle in January 2017 were set as the observation group.The number of the naked medicine/adverse drug events satisfaction degree of patients in 18 inpatient departments before adoption of PDCA cycle in December 2016 was set as the control group.The number of the naked medicine/adverse drug events satisfaction degree of patients in 18 inpatient departments before and after adoption of PDCA cycle was observed and analyzed.Results:The number of the naked medicine/adverse drug events after implementing the method of PDCA cycle management rate was significantly lower than before the implementation method of PDCA cycle management,and the difference had statistical significance(P<0.05).The satisfaction degree of the inpatients after implementing the method of PDCA cycle management rate was significantly higher than that before the implementation method of PDCA cycle management,and the difference had statistical significance(P<0.05).Conclusion:Application of PDCA cycle in the management of the naked medicine dispensing about the automatic package can help to reduce the adverse drug events,to improve the safety of drug treatment,and to increase the patients’satisfaction degree.展开更多
Correct drug labelling is central for ensuring proper drug dispensing and thus for patient safety. Labelling errors may result in adverse health outcomes. The objective of this study was, therefore, to assess the effe...Correct drug labelling is central for ensuring proper drug dispensing and thus for patient safety. Labelling errors may result in adverse health outcomes. The objective of this study was, therefore, to assess the effect of labelling on the quality of drug dispensing and patient knowledge about dispensed drugs in Jimma University model and specialized hospital outpatient Pharmacies. Individual packages with prescribed drugs were examined using pretested questionnaire and observational check lists during the dispensing process. Patients’ knowledge about drugs dispensed to them was assessed at the exit interview using a pretested questionnaire. Out of 743 prescribed drugs, 682 (91.8%) were dispensed to 426 patients. The average labelling score (range from 0 to 6) of dispensed drugs in Model and Outpatient pharmacy was 2.00 (95% CI 1.97 to 2.04) and 1.73 (95% CI 1.6 to 1.8) respectively, with overall average labelling score of 1.90 (95% CI 1.84 to 1.91). The average patient knowledge score (range from 0 t0 5) was 3.45 (95% CI 3.31 to 3.59) and 3.5 (95% CI 3.35 to 3.64) for model and outpatient pharmacy, respectively, while the overall average knowledge score was 3.46 (95% CI 3.37 to 3.57). Major labelling problems were absence of patient’s name and dose followed by frequency of administration, duration of treatment, and the reason for prescription. Literacy status of patients had a significant effect on their knowledge (p 0.05). We recommend that corrective measures targeting both, labelling and patients’ knowledge should be implemented to improve the patients’ safety and drug therapy adherence.展开更多
To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing th...To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing the failure mode and effect analysis(FMEA)management method,we identified potential risks in four critical steps of the non-integral-dosage drug dispensing process within PIVAS drug management:prescription verification,mixed allocation,and verification.For each step,we assigned scores for severity,incidence,and detectability,subsequently calculating the Risk Priority Number(RPN)to prioritize identified risks.Targeted measures for improvement were developed for steps with the highest RPN values.A total of 31 risk factors were documented in the management of non-integral-dosage drugs,with the dispensing process being particularly vulnerable.Specific measures were devised for eight high RPN risks.Following a 3-month optimization and improvement period,RPN values and incidences of internal differences were significantly reduced.The implemented measures demonstrated effective risk control.Notably,we established a comprehensive conversion system for partial-dose drug dispensing,directly translating into a volume of suction fluid for dispensing personnel based on doctor orders.This eliminated the need for manual secondary calculations,thereby standardizing and automating the dispensing of non-integral-dosage drugs in PIVAS.Simultaneously,our project team conducted a dissolution test on 23 types of drugs with non-integral dosage,revealing that the solvent volume increased for 11 types after dissolution.The dosage conversion for partial dosage was recalibrated based on the volume of the final solution to ensure dosage accuracy.Through the application of failure mode and effect analysis,we systematically managed the risks associated with non-integral-dosage drugs in PIVAS.This approach addressed safety concerns in the dispensing process,reduced errors,and ensured the safe and precise administration of medication to patients.展开更多
文摘Objective:To explore the application of plan–do–check–action(PDCA)cycle in the management of the naked medicine dispensing about the automatic package and to analyze the practice improved in the quality of naked medicine dispensing medicine management.Methods:The PDCA theory was used to analyze the data,to find out the causes of the problem,and to formulate the corresponding countermeasures to intervene.The data of the naked medicine/adverse drug events satisfaction degree of the inpatients in 18 inpatient departments given for the adoption of PDCA cycle in January 2017 were set as the observation group.The number of the naked medicine/adverse drug events satisfaction degree of patients in 18 inpatient departments before adoption of PDCA cycle in December 2016 was set as the control group.The number of the naked medicine/adverse drug events satisfaction degree of patients in 18 inpatient departments before and after adoption of PDCA cycle was observed and analyzed.Results:The number of the naked medicine/adverse drug events after implementing the method of PDCA cycle management rate was significantly lower than before the implementation method of PDCA cycle management,and the difference had statistical significance(P<0.05).The satisfaction degree of the inpatients after implementing the method of PDCA cycle management rate was significantly higher than that before the implementation method of PDCA cycle management,and the difference had statistical significance(P<0.05).Conclusion:Application of PDCA cycle in the management of the naked medicine dispensing about the automatic package can help to reduce the adverse drug events,to improve the safety of drug treatment,and to increase the patients’satisfaction degree.
文摘Correct drug labelling is central for ensuring proper drug dispensing and thus for patient safety. Labelling errors may result in adverse health outcomes. The objective of this study was, therefore, to assess the effect of labelling on the quality of drug dispensing and patient knowledge about dispensed drugs in Jimma University model and specialized hospital outpatient Pharmacies. Individual packages with prescribed drugs were examined using pretested questionnaire and observational check lists during the dispensing process. Patients’ knowledge about drugs dispensed to them was assessed at the exit interview using a pretested questionnaire. Out of 743 prescribed drugs, 682 (91.8%) were dispensed to 426 patients. The average labelling score (range from 0 to 6) of dispensed drugs in Model and Outpatient pharmacy was 2.00 (95% CI 1.97 to 2.04) and 1.73 (95% CI 1.6 to 1.8) respectively, with overall average labelling score of 1.90 (95% CI 1.84 to 1.91). The average patient knowledge score (range from 0 t0 5) was 3.45 (95% CI 3.31 to 3.59) and 3.5 (95% CI 3.35 to 3.64) for model and outpatient pharmacy, respectively, while the overall average knowledge score was 3.46 (95% CI 3.37 to 3.57). Major labelling problems were absence of patient’s name and dose followed by frequency of administration, duration of treatment, and the reason for prescription. Literacy status of patients had a significant effect on their knowledge (p 0.05). We recommend that corrective measures targeting both, labelling and patients’ knowledge should be implemented to improve the patients’ safety and drug therapy adherence.
基金Anhui Provincial Health Research Project Fund(Grant No.AHWJ2023-BAc20143)Pharmaceutical Research Exploration Fund of the First Affiliated Hospital of University of Science and Technology of China(Grant No.YJKJJ04)14th Five Year Plan Anhui Province Medical and Health Clinical Key Specialty Construction Project Support.
文摘To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing the failure mode and effect analysis(FMEA)management method,we identified potential risks in four critical steps of the non-integral-dosage drug dispensing process within PIVAS drug management:prescription verification,mixed allocation,and verification.For each step,we assigned scores for severity,incidence,and detectability,subsequently calculating the Risk Priority Number(RPN)to prioritize identified risks.Targeted measures for improvement were developed for steps with the highest RPN values.A total of 31 risk factors were documented in the management of non-integral-dosage drugs,with the dispensing process being particularly vulnerable.Specific measures were devised for eight high RPN risks.Following a 3-month optimization and improvement period,RPN values and incidences of internal differences were significantly reduced.The implemented measures demonstrated effective risk control.Notably,we established a comprehensive conversion system for partial-dose drug dispensing,directly translating into a volume of suction fluid for dispensing personnel based on doctor orders.This eliminated the need for manual secondary calculations,thereby standardizing and automating the dispensing of non-integral-dosage drugs in PIVAS.Simultaneously,our project team conducted a dissolution test on 23 types of drugs with non-integral dosage,revealing that the solvent volume increased for 11 types after dissolution.The dosage conversion for partial dosage was recalibrated based on the volume of the final solution to ensure dosage accuracy.Through the application of failure mode and effect analysis,we systematically managed the risks associated with non-integral-dosage drugs in PIVAS.This approach addressed safety concerns in the dispensing process,reduced errors,and ensured the safe and precise administration of medication to patients.
