ABSTRACT
Aims: The aims of this study were to identify and understand the factors underlying prescribing errors in order to determine how to prevent them. Materials and Methods: A prospective qualitative study that involved face-to-face interviews and human factor analysis in a Tertiary Referral Hospital in Central Nigeria; from July 2011 to December 2011. Pharmacists in the study hospital prospectively reviewed prescription orders generated by doctors in selected wards (male and female medical; pediatric and the private wing wards) and identified prescribing errors. The 22 prescribers involved in the errors were interviewed; and given questionnaires to discover factors causing the errors. A model of human error theory was used to analyze the responses. Results: Responses from the doctors suggest that most errors were made because of slips in attention. Lack of drug knowledge was not the single causative factor in any incident. Risk factors identified included individual; team; environment; and task factors. Junior doctors were affected by the prescribing habits of their seniors. Organizational factors identified included inadequate training/experience; absence of reference materials and absence of self-awareness of errors. Defenses against error such as other clinicians and guidelines were absent or deficient; and supervision was inadequate. Conclusions: To reduce the risk of prescribing errors; a number of strategies addressing individual; task; team; and environmental factors such as training of junior doctors; enforcing good practice in prescription writing; supervision; and reviewing the workload of junior doctors must be established. Aims: The aims of this study were to identify and understand the factors underlying prescribing errors in order to determine how to prevent them. Materials and Methods: A prospective qualitative study that involved face-to-face interviews and human factor analysis in a Tertiary Referral Hospital in Central Nigeria; from July 2011 to December 2011. Pharmacists in the study hospital prospectively reviewed prescription orders generated by doctors in selected wards (male and female medical; pediatric and the private wing wards) and identified prescribing errors. The 22 prescribers involved in the errors were interviewed; and given questionnaires to discover factors causing the errors. A model of human error theory was used to analyze the responses. Results: Responses from the doctors suggest that most errors were made because of slips in attention. Lack of drug knowledge was not the single causative factor in any incident. Risk factors identified included individual; team; environment; and task factors. Junior doctors were affected by the prescribing habits of their seniors. Organizational factors identified included inadequate training/experience; absence of reference materials and absence of self-awareness of errors. Defenses against error such as other clinicians and guidelines were absent or deficient; and supervision was inadequate. Conclusions: To reduce the risk of prescribing errors; a number of strategies addressing individual; task; team; and environmental factors such as training of junior doctors; enforcing good practice in prescription writing; supervision; and reviewing the workload of junior doctors must be established
Subject(s)
Drug Prescriptions , Hospitals , Medical Staff , Medication Errors , Nigeria , PhysiciansABSTRACT
PURPOSE : To identify the dispensing procedure at a pharmacy; investigate the possible operational problems that may lead to excessive patient waiting times as prescriptions are filled and to examine patient disposition to perceived delays at the pharmacy. METHODS : The study was carried out in a 574-bed university teaching hospital in Ile - Ife; Nigeria. The subjects were out-patients who gave their consent to participate in the study. Data were collected using the techniques of workflow analysis and time study in observing the dispensing process. A validated questionnaire was administered on the out-patients to measure their responses to waiting in the pharmacy as well as their level of satisfaction with pharmaceutical services rendered. RESULTS: The workflow analysis revealed considerable delay in the dispensing procedure as a result of extended process components. The total waiting time for a dispensing process averaged 17.09 min; and 89.5 percent of this was due to delay components. Specifically; the major delay components included patient queues for billing prescription sheets and subsequent payment to the cashier. Operational problems identified included patients' indirect access to dispensing pharmacist and the tortuous procedure for prescription billing and payments. Generally; patients were not satisfied with undue delay caused by the dispensing procedure at the pharmacy. CONCLUSION: Most of the patient waiting time in the hospital studied can be accounted for by delay components of the dispensing procedure. Attempts should therefore be made to reduce the time on these components of the dispensing process so that more time could be devoted to counseling while reducing the total time spent by the patient in having their prescriptions sheets filled