Dataset Information

A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.

ABSTRACT:

Background

Electronic prescribing (e-prescribing) technology was introduced as an alternative to handwritten prescriptions allowing health care professionals to send prescriptions directly to pharmacies. While the technology has many advantages, such as improving pharmacy workflow and reducing medication errors, some limitations have been realized.

Objective

The objective of this study was to examine the frequency, type, and contributing factors of e-prescribing quality-related incidents reported to two national error-reporting databases in the United States.

Methods

This was a retrospective analysis of voluntarily reports of e-prescribing quality-related incidents. A quantitative and qualitative analysis was conducted of incidents reported between 2011 and 2015 to the Pharmacy Quality Commitment (PQC) and the Pharmacy Provider e-prescribing Experience Reporting Portal (PEER) databases. For the qualitative analysis, events were combined from the PQC and PEER portal and a 10% random sample of events were analyzed.

Results

A total of 589 events were reported to the PEER Portal. Of these, problems with patient directions were the most frequent incident type (n?=?210) of which 10% (n?=?21) reached the patient. Quantity selection (n?=?158) and drug selection (n?=?96) were the next most frequently reported events, 20% of which reached the patient. The PQC system received 550 reports. The most frequent event type reported to this system was incorrect directions (23.3%, n?=?128) followed by incorrect prescriber (17%), incorrect drug (15%), and incorrect strength (12%). The most common theme in the qualitative analysis was a perceived increased likelihood of patient receiving incorrect drug therapy due to e-prescribing. Another theme identified included confusion and frustration of pharmacy personnel as result of e-prescription quality-related events.

Conclusion

The use of qualitative and quantitative incident data revealed that patient directions and quantity selection were the most common quality issues with e-prescribing. In turn, this may increase the likelihood of patients receiving incorrect drug therapy.

SUBMITTER: Hincapie AL

PROVIDER: S-EPMC6551211 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.

Hincapie Ana L AL Alamer Ahmad A Sears Julie J Warholak Terri L TL Goins Semin S Weinstein Sara Danielle SD

Applied clinical informatics 20190501 3

<h4>Background</h4>Electronic prescribing (e-prescribing) technology was introduced as an alternative to handwritten prescriptions allowing health care professionals to send prescriptions directly to pharmacies. While the technology has many advantages, such as improving pharmacy workflow and reducing medication errors, some limitations have been realized.<h4>Objective</h4>The objective of this study was to examine the frequency, type, and contributing factors of e-prescribing quality-related in ...[more]

PMID: 31167250

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Project description:BackgroundThe Electronic Prescription Service Release 2 (EPS2) in England has been designed to provide electronic transmission of digitally-signed prescriptions between primary care providers, with the intent on removing the large amounts of paper currently exchanged. As part of a wider evaluation of the EPS service, we wished to explore pharmacists' experience with the new system and their perceptions of its benefits and any associated problems.MethodsWe conducted semi-structured telephone interviews with community pharmacists using EPS2. We used a purposive sampling technique to obtain views from pharmacists working in pharmacies with a range of sizes and locations and to include both independent pharmacies and multiples. Interviews were transcribed verbatim and coded using grounded theory to identify the main factors that have influenced deployment and implementation in the eyes of respondents. QSR Nvivo was used as to aid in this process.ResultsIt became apparent from the analysis that respondents perceived a wide range of advantages of EPS including improved safety, stock control, time management and improved relationships between pharmacy and General Practice staff. Respondents did not perceive a large difference in terms of work processes or development of their professional role. A large number of problems had been experienced in relation to both the technology itself and the way it was used by General Practices. It became apparent that work-around procedures had been developed for dealing with these issues but that not all these problems were perceived as having been addressed sufficiently at source. This sometimes had implications for the extent of EPS2 use and also limited some of the potential advantages of the EPS2 system, such as reduced effort in the management of prescription reimbursement. Respondents made suggestions for future improvements to EPS2. While interview data demonstrated that there were some feedback procedures in place, these were not regarded as being sufficient by the majority of respondents.ConclusionsWhilst pharmacists perceived a wide range of benefits of EPS, a large number of problems had been experienced. Despite these difficulties, no pharmacists expressed an overall negative view.

Project description:Objectives(1) To describe the epidemiology of patient safety (PS) incidents registered in an electronic notification system in primary care (PC) health centres; (2) to define a risk map; and (3) to identify the critical areas where intervention is needed.DesignDescriptive analytical study of incidents reported from 1 January to 31 December 2018, on the TPSC Cloud™ platform (The Patient Safety Company) accessible from the corporate website (Intranet) of the regional public health service.Setting24 Catalan Institute of Health PC health centres of the Tarragona region (Spain).ParticipantsProfessionals from the PC health centres and a Patient Safety Functional Unit.MeasurementsData obtained from records voluntarily submitted to an electronic, standardised and anonymised form. Data recorded: healthcare unit, notifier, type of incident, risk matrix, causal and contributing factors, preventability, level of resolution and improvement actions.ResultsA total of 1544 reports were reviewed and 1129 PS incidents were analysed: 25.0% of incidents did not reach the patient; 66.5% reached the patient without causing harm, and 8.5% caused adverse events. Nurses provided half of the reports (48.5%), while doctors reported more adverse events (70.8%; p < 0.01). Of the 96 adverse events, 46.9% only required observation, 34.4% caused temporary damage that required treatment, 13.5% required (or prolonged) hospitalization, and 5.2% caused severe permanent damage and/or a situation close to death. Notably, 99.2% were considered preventable. The main critical areas were: communication (27.8%), clinical-administrative management (25.1%), care delivery (23.5%) and medicines (18.4%); few incidents were related to diagnosis (3.6%).ConclusionsPS incident notification applications are adequate for reporting incidents and adverse events associated with healthcare. Approximately 75% and 10% of incidents reach the patient and cause some damage, respectively, and most cases are considered preventable. Adequate and strengthened risk management of critical areas is required to improve PS.

Project description:Electronic prescribing (e-prescribing) has the potential to improve the safety and efficiency of medication use, but uptake of e-prescribing in community-based settings has been limited to date. In April 2004, 2 large insurers in Massachusetts began a program to fund e-prescribing systems for targeted clinicians and practices. We studied the adoption and uptake of e-prescribing by the targeted prescribers.We obtained data on all e-prescriptions written from April 2004 to March 2005. We tabulated the number of clinicians using the e-prescribing system and the number of prescriptions written. We also obtained claims data from the 2 insurance companies and calculated the proportion of each clinician's prescriptions that were written electronically. We developed multivariable models to estimate the impact of different clinician characteristics on the proportional rate of e-prescribing.During the first 12 months of the e-prescribing program, 1,217 prescribers began using the e-prescribing system. In the final month of the study, over 55,000 e-prescriptions were written for patients covered by the 2 included insurance plans. The proportion of total reimbursed claims per clinician written electronically increased slowly during the study period and was still below 30% by the end of the study period. This number increased to 42% when we restricted the sample to medications normally used for acute indications. Multivariable models showed that younger clinicians, pediatricians, and prescribers in larger practices exhibited higher uptake rates as a proportion of total prescriptions.Clinician use of e-prescribing increased steadily in the first 12 months of an initiative sponsoring e-prescribing systems. Uptake of e-prescribing was only partial, with younger clinicians and pediatricians more likely to use the system. Research to understand why prescribers vary in their use of e-prescribing and to develop techniques to encourage more wide-spread adoption will be an important priority for future studies.

Project description:Although electronic prescribing (e-prescribing) holds promise for preventing prescription errors in the ambulatory setting, research on its effectiveness is inconclusive.To assess the impact of a stand-alone e-prescribing system on the rates and types of ambulatory prescribing errors.Prospective, non-randomized study using pre-post design of 15 providers who adopted e-prescribing with concurrent controls of 15 paper-based providers from September 2005 through June 2007.Use of a commercial, stand-alone e-prescribing system with clinical decision support including dosing recommendations and checks for drug-allergy interactions, drug-drug interactions, and duplicate therapies.Prescribing errors were identified by a standardized prescription and chart review.We analyzed 3684 paper-based prescriptions at baseline and 3848 paper-based and electronic prescriptions at one year of follow-up. For e-prescribing adopters, error rates decreased nearly sevenfold, from 42.5 per 100 prescriptions (95% confidence interval (CI), 36.7-49.3) at baseline to 6.6 per 100 prescriptions (95% CI, 5.1-8.3) one year after adoption (p < 0.001). For non-adopters, error rates remained high at 37.3 per 100 prescriptions (95% CI, 27.6-50.2) at baseline and 38.4 per 100 prescriptions (95% CI, 27.4-53.9) at one year (p = 0.54). At one year, the error rate for e-prescribing adopters was significantly lower than for non-adopters (p < 0.001). Illegibility errors were very high at baseline and were completely eliminated by e-prescribing (87.6 per 100 prescriptions at baseline for e-prescribing adopters, 0 at one year).Prescribing errors may occur much more frequently in community-based practices than previously reported. Our preliminary findings suggest that stand-alone e-prescribing with clinical decision support may significantly improve ambulatory medication safety.ClinicalTrials.gov, Taconic Health Information Network and Community (THINC), NCT00225563, http://clinicaltrials.gov/ct2/show/NCT00225563?term=Kaushal&rank=6 .

Project description:BackgroundMost available quality indicators for hospitals are represented by simple ratios or proportions, and are limited to specific events. A generalized method that can be applied to diverse clinical events has not been developed. The aim of this study was to develop a simple method of evaluating physicians' prescription patterns for diverse events and their level of awareness of clinical practice guidelines.Methods and findingsWe developed a quantitative method called Prescription pattern Around Clinical Event (PACE), which is applicable to electronic health records (EHRs). Three discrete prescription patterns (intervention, maintenance, and discontinuation) were determined based on the prescription change index (PCI), which was calculated by means of the increase or decrease in the prescription rate after a clinical event. Hyperkalemia and Clostridium difficile-associated diarrhea (CDAD) were used as example cases. We calculated the PCIs of 10 drugs related to hyperkalemia, categorized them into prescription patterns, and then compared the resulting prescription patterns with the known standards for hyperkalemia treatment. The hyperkalemia knowledge of physicians was estimated using a questionnaire and compared to the prescription pattern. Prescriptions for CDAD were also determined and compared to clinical knowledge. Clinical data of 1698, 348, and 1288 patients were collected from EHR data. The physicians prescribing behaviors for hyperkalemia and CDAD were concordant with the standard knowledge. Prescription patterns were well correlated with individual physicians' knowledge of hyperkalemia (κ = 0.714). Prescribing behaviors according to event severity or clinical condition were plotted as a simple summary graph.ConclusionThe algorithm successfully assessed the prescribing patterns from the EHR data. The prescription patterns were well correlated with physicians' knowledge. We expect that this algorithm will enable quantification of prescribers' adherence to clinical guidelines and be used to facilitate improved prescribing practices.

Project description:BACKGROUND:In England, since 2015, there has been a formal drive to integrate pharmacists into general practice as a new healthcare service. Research efforts have offered insights into how general practice-based professionals and patients view the service, however, they took no account of community pharmacy teams' opinions. There have been anecdotal statements about opposition from community pharmacies to the service, due to fears of losing business. The aim of the current study was to identify the experiences and perceptions of community pharmacy teams regarding pharmacists' presence in general practice. METHODS:The National Health Service Choices website was used to identify community pharmacies within a radius of two miles from eight West London general practices. The search resulted in 104 community pharmacies which were all contacted via telephone. Pharmacy staff who verbally expressed their interest to participate were then provided with the study's documents. Qualitative, face-to-face, semi-structured interviews were conducted inside the pharmacy from which each participant was recruited. Interviews lasted 30 to 45?min and were audio-recorded. Audio-recordings were transcribed verbatim and transcripts analysed thematically. RESULTS:Forty-eight community pharmacy staff participated. Four themes were discerned: awareness ("I knew that [pharmacists] have already been implemented [in general practice] but I haven't really followed it … where does the pharmacist role come?"); interactions ("I'm just so pleased that there's a pharmacist professional in the general practice … because we speak the same language!"); patient care ("if I was a patient knowing that there is a general practitioner and a pharmacist [in general practice], I would … think 'nothing can go wrong at the moment'"); and funding challenges ("if general practices take on the extra responsibility of stop smoking or flu vaccination campaigns … financially, this would affect this pharmacy"). CONCLUSIONS:The current study revealed the perceived impact of general practice-based pharmacists on community pharmacies would be improved communication between pharmacies and practices. Findings will inform policy so that any future framing of pharmacists' presence in general practice considers the needs of community pharmacies.

Dataset Information

A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.

Background

Objective

Methods

Results

Conclusion

Publications

A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.

Similar Datasets

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