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Wireless handheld computers and voluntary utilization of computerized prescribing systems in the emergency department.

Illegible or invalid hand-written prescriptions can result in avoidable medical errors. Computer-based prescribing can mitigate the problem. An observational study was performed to examine the effect of wireless handheld computers (handhelds) on voluntary utilization of computerized prescribing within an Emergency Department. Handhelds with prescription-writing software were provided to physicians and the numbers of hand-written and computer-generated prescriptions were compared before and after the introduction of the handhelds. The resulting increase in computer-based prescribing was statistically significant and was observed largely among physicians who already used desktop computers for prescribing. The study concluded that handhelds increased voluntary utilization of computerized prescribing, but that the physicians most likely to use handhelds were those who already used desktop-based prescribing.

Attitude to Computers↗

[A project for the implementation of a unit-dose drug dispensation system in an intensive care unit].

OBJECTIVE: To describe the implementation of a unitary dose drug dispensation system (UDDDS) with computerized medical orders in an intensive care unit (ICU) including 10 multi-purpose offices, and to obtain a medication error index as an indicator of the process quality. METHOD: A UDDDS with computerized medical orders for intensive care was defined. By consensus among nurses, intensivists and pharmacists, the administration of high-risk drugs by perfusion or through a gastric tube was protocolized, and computerized medical orders were adapted to ICU dynamics, with both fluid therapy and enteral and parenteral nutrition becoming fully integrated. A prospective observational 8-month study with 15 cross-sectional time points was performed to estimate the overall error index and mean error per drug use process stage. The error index is estimated by dividing the number of errors into error opportunities, and is expressed as a percentage. RESULTS: Computerized medical orders favored compliance with consensus protocols defined in software programs at the pharmacy department, even though the degree of adhesion degree was not quantitized. They also allowed a validation of all medical prescriptions by a pharmacist before dispensation. The total number of errors detected during the study period was 86. Error opportunities were 26,695, and the overall error index was 0.32%. During the study an error occurred every 312.5 error opportunities.

Intensive Care Units↗

Impact of computerised chemotherapy prescriptions on the prevention of medication errors.

OBJECTIVES: The authors sought to evaluate the impact of computerised chemotherapy prescription on the reduction of medication errors. The purpose of this study was to assess the incidence of errors present in electronic versus manual prescription. MATERIAL AND METHODS: The data gathered from computerised chemotherapy prescription sheets were submitted to a prospective analysis as cases of the intervention groups. The control group was comprised of the handwritten chemotherapy prescription sheets. Chemotherapy prescriptions for consecutive oncology patients were analysed by 2 independent examiners, who investigated errors of omission, commission, interpretation of dates, abbreviations and illegible handwriting. The proportion of treatment prescriptions containing one or more errors and the median of errors were calculated in order in both groups. RESULTS: At least one error was detected in 100% of the manual prescriptions and in 13% of computerised prescriptions (p < 0.001). The median of errors per computerised prescription was 0 (range: 0- 1), whereas in manual prescriptions the median was 5 (range: 1-12) (p < 0.001). Errors of omission were predominant in manual prescriptions. Errors of commission were limited to 1 case of unjustified cytostatic agent infra-dosage in a computerised prescription. This error was present in 3 cases in handwritten prescriptions and, in addition, 1 case of premedication drug substitution was detected. Errors of interpretation of the date, use of abbreviations and illegible handwriting were frequent among manual prescriptions and were absent from computerised prescriptions. CONCLUSIONS: Electronic chemotherapy prescription is a powerful tool. In this study it has been shown to decrease chemotherapy-related medication errors and ensure that safe chemotherapy practices were followed.

Antineoplastic Agents↗

Evaluation of the quality of radiology requisitions for intensive care unit patients.

RATIONALE AND OBJECTIVES: The study aim is to evaluate the quality of radiology requisitions for plain film radiographs on intensive care unit (ICU) patients. MATERIALS AND METHODS: Radiology requisitions for 58 patients in ICU units at our children's hospital and the corresponding original orders for the study, written in patients' charts, were obtained. We reviewed each of the resident's written chart orders for completeness and then directly compared the information on the radiology requisition with the actual order written in the patient's chart by the ward resident physician. RESULTS: In 10% of cases, no "written order" was found in the patient's medical record for the imaging study. Clinical indications for the study were provided by the resident in only 71% (41/58) of cases. The resident's name was missing in the chart in eight of 58 cases (14%). The resident's name was provided in 50 cases, but was legible in only 28 of 50 cases (56%). In 84% of cases, the resident failed to provide his or her pager number. For one patient, the incorrect study was ordered. In only 73% (30/41) of cases did the ward clerk exactly copy the clinical indication that was handwritten in the chart by the resident. In 21% of cases, no resident's name was provided as the ordering resident on the radiology requisition. Inadequate or incomplete clinical information was provided in 24% of cases. CONCLUSION: Our study identifies a large number of problems in the quality of our radiology requisitions. Improving the process has been approved by our hospital as a major quality improvement project for this year.

Clinical Clerkship↗

[Comparative study of errors in electronic versus manual prescription].

OBJECTIVE: Electronic prescribing is considered a basic measure for the prevention and reduction of medications errors. The goal of this survey was to assess the incidence of errors occurring with electronic versus standard prescription. METHOD: A prospective, sequential, open-label study to assess errors with electronic prescribing as compared to traditional manual prescribing in two public hospitals in Balearic Islands. Errors regarding medication, diet and/or nursing orders were assesses along four process stages: medical prescription, pharmacy transcription/validation, nursing transcription, and dispensation. RESULTS: With manual prescription 1,576 errors/18,539 therapy orders (8.50%) were identified, whereas with electronic prescription 827 errors/18,885 therapy orders (4.38%) were detected, which represents a relative risk reduction by 48% and an absolute risk reduction by 4.12% (p < 0.0001). Pharmacy transcription/validation errors decreased (1.73 vs. 0.13%, p < 0.0001), as did nursing transcription errors (2.54 vs. 0.81%, p < 0.0001) and dispensation errors (2.13 vs. 0.96%, p < 0.0001); however, the number of prescription errors increased (2.10 vs. 2.40%, p = 0.0401). CONCLUSIONS: Electronic prescription is a powerful tool, and one that in this work was shown to decrease medication-, diet-, and nursing care-related errors in a highly significant way; however, it should be developed and maintained in order to achieve safety and effectiveness as required by drug usage.

Drug Prescriptions↗

Improving patient safety in hospitals: Contributions of high-reliability theory and normal accident theory.

OBJECTIVE: To identify the distinctive contributions of high-reliability theory (HRT) and normal accident theory (NAT) as frameworks for examining five patient safety practices. DATA SOURCES/STUDY SETTING: We reviewed and drew examples from studies of organization theory and health services research. STUDY DESIGN: After highlighting key differences between HRT and NAT, we applied the frames to five popular safety practices: double-checking medications, crew resource management (CRM), computerized physician order entry (CPOE), incident reporting, and root cause analysis (RCA). PRINCIPAL FINDINGS: HRT highlights how double checking, which is designed to prevent errors, can undermine mindfulness of risk. NAT emphasizes that social redundancy can diffuse and reduce responsibility for locating mistakes. CRM promotes high reliability organizations by fostering deference to expertise, rather than rank. However, HRT also suggests that effective CRM depends on fundamental changes in organizational culture. NAT directs attention to an underinvestigated feature of CPOE: it tightens the coupling of the medication ordering process, and tight coupling increases the chances of a rapid and hard-to-contain spread of infrequent, but harmful errors. CONCLUSIONS: Each frame can make a valuable contribution to improving patient safety. By applying the HRT and NAT frames, health care researchers and administrators can identify health care settings in which new and existing patient safety interventions are likely to be effective. Furthermore, they can learn how to improve patient safety, not only from analyzing mishaps, but also by studying the organizational consequences of implementing safety measures.

Hospital Administration↗

Use of a standardized protocol to decrease medication errors and adverse events related to sliding scale insulin.

PROBLEM: Sliding scale insulin (SSI) is frequently used for inpatient management of hyperglycemia and is associated with a large number of medication errors and adverse events including hypoglycemia and hyperglycemia. DESIGN: Observational before and after study evaluating the impact of implementation of a standardized SSI protocol and preprinted physician order form. SETTING: University Hospital in Pittsburgh, PA, USA. STRATEGY FOR CHANGE: Guidelines for the use of SSI were created by an interdisciplinary committee and implemented in non-intensive care units. In addition, a preprinted physician order sheet was developed which included the guidelines and an option for ordering one of three standardized insulin sliding scales or a patient specific scale. EFFECT OF CHANGE: One year after implementation the physician order form was used for 91% of orders and, overall, 86% of SSI orders followed the guidelines. The number of prescribing errors found on chart review was reduced from 10.3 per 100 SSI patient-days at baseline to 1.2 at 1 year (p = 0.03). The number of hyperglycemia episodes 1 year after implementation decreased from 55.9 to 16.3 per 100 SSI patient-days. LESSONS LEARNT: The protocol was readily accepted by hospital staff and was associated with decreased prescribing errors and decreased frequency of hyperglycemia.

Blood Glucose↗

Impact of workflow-integrated corollary orders on aminoglycoside monitoring in children.

Computerized provider order entry (CPOE) and clinical decision support improve medication prescribing safety in adults. However, effective therapy for children requires dosing based on circulating medication levels. We examined the introduction of a computerized corollary order for aminoglycoside blood level monitoring. The study was divided into baseline (BP) and corollary order (CP) periods. In the CP, we implemented a workflow-integrated reminder to order blood levels and presented this to the clinician during each aminoglycoside ordering session. Appropriate laboratory monitoring was 128/159 (80.5%) courses in the BP and 146/177 (82.5%) courses in the CP. Thus introduction of the order did not significantly improve laboratory monitoring rates, nor did it result in a reduction in the rate of either toxic or subtherapeutic levels. However, aminoglycoside corollary orders may have an important role in institutions where pharmacists are not actively involved in monitoring therapy.

Aminoglycosides↗

Developing high-specificity anti-hypertensive alerts by therapeutic state analysis of electronic prescribing records.

OBJECTIVE: This paper presents a model for analysis of chronic disease prescribing action over time in terms of transitions in status of therapy as indicated in electronic prescribing records. The quality of alerts derived from these therapeutic state transitions is assessed in the context of antihypertensive prescribing. DESIGN: A set of alert criteria is developed based on analysis of state-transition in past antihypertensive prescribing of a rural Australian General Practice. Thirty active patients coded as hypertensive with alerts on six months of previously un-reviewed prescribing, and 30 hypertensive patients without alerts, are randomly sampled and independently reviewed by the practice's two main general practice physicians (GPs), each GP reviewing 20 alert and 20 non-alert cases (providing 10 alert and 10 non-alert cases for agreement assessment). MEASUREMENTS: GPs provide blind assessment of quality of hypertension management and retrospective assessment of alert relevance. RESULTS: Alerts were found on 66 of 611 cases with coded hypertension with 37 alerts on the 30 sampled alert cases. GPs assessed alerting sensitivity as 74% (CI 52% - 89%) and specificity as 61% (CI 45% - 74%) for the sample, which is estimated as 26% sensitivity and 93% specificity for the antihypertensive population. Agreement between the GPs on assessment of alert relevance was fair (kappa = 0.37). CONCLUSIONS: Data-driven development of alerts from electronic prescribing records using analysis of therapeutic state transition shows promise for derivation of high-specificity alerts to improve the quality of chronic disease management activities.

Antihypertensive Agents↗