Evaluating trends in pharmacist e-prescribing: 2019-2022.

BACKGROUND: Pharmacists have some prescriptive authority in all fifty states through dependent and independent prescribing. Data describing the volume and characteristics of pharmacist prescribing are not widely available, and these insights are critical to gauge the impact of regulations supporting pharmacist prescriptive authority. OBJECTIVE: To identify trends in pharmacist prescribing and compare them to primary care provider (PCP) prescribing trends by analyzing e-prescriptions initiated from electronic health records systems from 2019 through 2022. METHODS: This cross-sectional study used e-prescriptions from a national health information network to identify e-prescriptions ordered by pharmacists and PCPs from January 7, 2019, to January 1, 2023. E-prescriptions ordered by pharmacists and PCPs were analyzed to identify annual volume by prescriber type and most prescribed therapeutic classes. States with the highest volume of e-prescriptions ordered by pharmacists were identified. RESULTS: The number of e-prescriptions prescribed by a pharmacist increased 47% from 2019 (n = 814,726) to 2022 (n = 1,199,601). The number of pharmacists prescribing in 2019 was 1650, and this increased by 122% to 3664 in 2022. The number of e-prescriptions prescribed by PCPs increased by 4% from 2019 (n = 927,890,123) to 2022 (n = 965,803,376) while the number of PCPs prescribing increased by 8% from 2019 (n = 364,995) to 2022 (n = 394,753). CONCLUSION: Pharmacist e-prescribing increased across the 4 years studied while PCP e-prescribing modestly increased. Factors like access to technology, such as electronic health records, state regulations, and reimbursement impact a pharmacist's ability to prescribe.

E-prescribing and access to prescription medicines during lockdown: experience of patients in Aotearoa/New Zealand.

BACKGROUND: Health services internationally have been compelled to change their methods of service delivery in response to the global COVID-19 pandemic, to mitigate the spread of infection amongst health professionals and patients. In Aotearoa/New Zealand, widespread electronic delivery of prescriptions (e-prescribing) was enabled. The aim of the research was to explore patients' experiences of how lockdown, changes to prescribing and the interface between general practices and community pharmacy affected access to prescription medications. METHOD: The research employed a mixed-method approach. This included an online survey (n = 1,010) and in-depth interviews with a subset of survey respondents (n = 38) during the first COVID-19 lockdown (March-May 2020). Respondents were recruited through a snowballing approach, starting with social media and email list contacts of the research team. In keeping with the approach, descriptive statistics of survey data and thematic analysis of qualitative interview and open-ended questions in survey data were combined. RESULTS: For most respondents who received a prescription during lockdown, this was sent directly to the pharmacy. Most people picked up their medication from the pharmacy; home delivery of medication was rare (4%). Survey and interview respondents wanted e-prescribing to continue post-lockdown and described where things worked well and where they encountered delays in the process of acquiring prescription medication. CONCLUSIONS: E-prescribing has the potential to improve access to prescription medication and is convenient for patients. The increase in e-prescribing during lockdown highlighted how the system could be improved, through better feedback about errors, more consistency across practices and pharmacies, more proactive communication with patients, and equitable prescribing costs.

Strategies to reduce insulin prescribing errors in UK hospitals: results from a national survey.

AIM: To describe insulin prescribing practice in National Health Service hospitals in the UK and the current use of interventions and strategies to reduce insulin prescribing errors. METHODS: We sent a cross-sectional questionnaire to chief pharmacists in all National Health Service hospital trusts in the UK in January 2019. Questions concerned the use and functionality of electronic and paper systems used to prescribe subcutaneous insulin, along with features and interventions designed to reduce insulin prescribing errors. RESULTS: Ninety-five hospital trusts responded (54%). Electronic prescribing of insulin was reported in 40% of hospitals, most of which were teaching hospitals in England. We found a wide variation in the functionality of both electronic prescribing and paper-based systems to enable the safe prescribing of insulin for inpatients. The availability of specialist diabetes pharmacists to support the safe prescribing of insulin was low (29%), but was positively associated with the use of a greater number of insulin prescribing error reduction strategies (P=0.002). The use of specific interventions to improve insulin prescribing quality (e.g. self-administration policies) varied greatly between respondent hospitals. CONCLUSIONS: There is potential to optimize the functionality of both electronic and paper-based prescribing systems to improve the safe prescribing of insulin in hospitals in the UK. The wide variation in the use of insulin error reduction strategies may be improved by the availability of specialist diabetes pharmacists who can support the implementation of insulin-prescribing interventions.

Analgesic Outcomes in a Danish Acute Care Hospital Following Electronic Prescribing and Analgesic Self-Administration.

BACKGROUND: Despite the long-term consequences of poorly controlled postoperative pain, inadequate pain control remains a problem. AIMS: To improve the quality of postoperative pain management, the study site, an acute care hospital in Denmark, introduced electronic prescribing with standard order-sets, and allowed patients to self-administer analgesia. This study aimed to describe analgesic prescribing, prescriptions for multimodal analgesia, analgesic administration, and patients' pain experience, in this context. DESIGN: Point-prevalence survey. SETTINGS: One Danish regional hospital. PARTICIPANTS: Consecutive sample of 286 surgical inpatients comprising 65 orthopaedic, 41 gynaecological, 57 urology and 123 gastrointestinal patients. METHODS: We evaluated the quality of postoperative pain management on four postoperative surgical wards using: (1) the Revised American Pain Society Patient Outcome Questionnaire; and (2) patient chart audit. RESULTS: Overall, 89.2% of patients were prescribed a fixed analgesic and 71.7% were prescribed fixed analgesics in multimodal combination. Patterns of multimodal prescribing and administration varied significantly across surgical groups. Patients received 87.7% of available fixed prescriptions and 22.5% of available analgesics prescribed 'as needed'. However, patients' worst pain intensity was high (mean = 5.8/10, SD = 2) and 73.4% reported moderate-to-severe worst pain during the previous 24-hours. Patients who self-administered medications used significantly more fixed-schedule paracetamol (p = .018), non-steroidal anti-inflammatory drugs (p = .001), weak (p = .035) and strong (p < .001) opioids. CONCLUSIONS: The availability of multimodal analgesia was high following the introduction of electronic prescribing. However, gaps remain in the administration of both fixed and 'as needed' analgesics for postoperative patients. Findings suggested that allowing patients to self-administer analgesia may increase compliance with fixed schedule prescriptions.

Exposure measurement error when assessing current glucocorticoid use using UK primary care electronic prescription data.

PURPOSE: To quantify misclassification in glucocorticoid (GC) exposure defined using UK primary care prescription data. METHODS: A cross-sectional study including patients with rheumatoid arthritis prescribed oral GCs in the past 2 years. Glucocorticoid exposure based on electronic prescription records was compared with participant-reported GC use captured using a paper diary. Prescription data (containing information about prescriptions issued but no dispensing information) was provided by the Clinical Practice Research Datalink. The following variables were defined: current use and dose of oral GCs and if (and when) participants had received a GC injection. For oral GCs, self-reported use was taken to represent "true" exposure. A dataset representing a hypothetical population was generated to assess the impact of the misclassification found for current use. RESULTS: A total of 67 of 78 study participants (86%) were correctly classified as currently on/off oral GCs; 32/38 (84.2%) participants reporting current GC use and 35/40 (87.5%) participants not reporting current use were correctly classified. Estimated values of current dose were imprecise (correlation coefficient 0.46). Concordance between reported and prescribed GC injections was poor (kappa statistic 0.14). Misclassification bias was demonstrated in the hypothetical population: For "true" relative risks of 1.5, 4, and 9, the "observed" relative risks were 1.33, 2.48, and 3.58, respectively. CONCLUSIONS: Misclassification of current use of oral GCs was low but sufficient to lead to significant bias. Researchers should take care to assess the likely impact of exposure misclassification on their analyses.

Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children's hospital.

BACKGROUND: Prescribing errors may, influenced by some risk factors, cause adverse drug events. Most studies in this field focus on errors in prescriptions for hospital inpatients, with only a few on those for outpatients. Our study aimed to explore the incidence of prescribing errors in electronic prescriptions and illustrate the trend of prescribing workload and error rate over time. METHODS: The cross-section study was performed between September, 2015 and November, 2015. Prescribing errors were intercepted by pharmacists using a prescription reviewing system under which prescriptions with errors were transferred to a specific computer and recorded by another pharmacist and the incidence of total prescribing errors and severe errors was then calculated. A subgroup analysis was conducted in accordance to the number of drug orders, the age group of patients, the seniority of physicians, the specialty of physicians, the working day when prescriptions were issued, and the prescribing workload of physicians. A time-series analysis was employed to analyze the trend of prescribing workload and error rate, and the correlation between them. RESULTS: Totally, 65,407 patients were included in this study and 150,611 prescriptions with 294,564 drug orders (including 584 different drugs) were reviewed for identification of errors. A total of 534 prescribing errors (an error rate of 0.34%) were identified. Severe errors accounted for 13.62% of total errors. The subgroup analysis showed prescriptions of multiple drug orders, for pediatric patients aged 29 days to 12 years, from physicians specializing in ophthalmology and otorhinolaryngology, or prescribing on weekdays were more susceptible to errors. A time-series analysis demonstrated no correlation between prescribing workload and error rate which increased at the end of each working shift while prescribing workload decreased. CONCLUSION: Less than 1% of the studied prescriptions came with errors among which one in seven were severe ones. But prescribing errors were in no relation to workloads. What's more, further studies are needed to investigate pharmacist-led intervention to reduce prescribing errors.

Effect of New York State Electronic Prescribing Mandate on Opioid Prescribing Patterns.

BACKGROUND: Drug overdose was the leading cause of injury and death in 2013, with drug misuse and abuse causing approximately 2.5 million emergency department (ED) visits in 2011. The Electronic Prescriptions for Controlled Substances (EPCS) program was created with the goal of decreasing rates of prescription opioid addiction, abuse, diversion, and death by making it more difficult to "doctor-shop" and alter prescriptions. OBJECTIVE: In this study, we describe the opioid-prescribing patterns of emergency physicians after the introduction of the New York State EPCS mandate. METHODS: We conducted a retrospective, single-center, descriptive study with a pre-/post-test design. The pre-implementation period used for comparison was April 1-July 31, 2015 and the post-implementation period was April 1-July 31, 2016. All ED discharge prescriptions for opioid medications prior to and after the initiation of New York State EPCS were identified. RESULTS: During the pre-implementation study period, 22,221 patient visits were identified with 1366 patients receiving an opioid prescription. During the post-implementation study period, 22,405 patient visits were identified with 642 patients receiving an opioid prescription. This represented an absolute decrease of 724 (53%) opioid prescriptions (p < 0.0001), which is an absolute difference of 2.3% (95% confidence interval 2.0-2.6%). CONCLUSIONS: There was a significant decline in the overall number of opioid prescriptions after implementation of the New York EPCS mandate.

Factors Affecting Rural Patients' Primary Compliance with e-Prescription: A Developing Country Perspective.

Background:The electronic prescription system has emerged to reduce the ambiguity and misunderstanding associated with handwritten prescriptions. The opportunities and challenges of e-prescription system, its impact on reducing medication error, and improving patient's safety have been widely studied. However, not enough studies were conducted to explore and quantify the factors that affect rural patients' compliance with e-prescription, especially from the perspective of Asian developing countries where most of the world's population resides.Objective:The objective of this study is to explore and assess the factors that affect rural patients' primary compliance with e-prescription in Bangladesh.Methods:Data were collected from 95 randomly selected rural patients who received e-prescription through a field survey with a structured questionnaire from Bheramara subdistrict, Bangladesh, during June and July 2016. Logistic regression analysis was performed to test the research hypotheses.Results:The study found patients' gender as the most significantly influential factor (regression coefficient [Coef.] = 2.02, odds ratio [OR] = 7.51, p < 0.05) followed by visiting frequency (Coef. = 0.99, OR = 2.70, p < 0.05); education (Coef. = 0.92, OR = 2.51, p < 0.05); and distance to healthcare facility (Coef. = 0.82, OR = 2.26, p < 0.01). However, patients' age, monthly family expenditure, and use of cell phone were found insignificant. The model explains 59.40% deviance (R2 = 0.5940) in the response variable with its constructs. And the "Hosmer-Lemeshow" goodness-of-fit score (0.99) is also above the standard threshold (0.05), which indicates the data fit well with the model.Conclusions:The findings of this study are expected to be helpful for e-health service providers to gain a better understanding of the factors that influence their patients to comply with e-prescriptions.

Assessing the accuracy of using diagnostic codes from administrative data to infer antidepressant treatment indications: a validation study.

PURPOSE: To assess the accuracy of using diagnostic codes from administrative data to infer treatment indications for antidepressants prescribed in primary care. METHODS: Validation study of administrative diagnostic codes for 13 plausible indications for antidepressants compared with physician-documented treatment indications from an indication-based electronic prescribing system in Quebec, Canada. The analysis included all antidepressant prescriptions written by primary care physicians between January 1, 2003 and December 31, 2012 using the electronic prescribing system. Patient prescribed antidepressants were linked to physician claims and hospitalization data to obtain all diagnoses recorded in the past year. RESULTS: Diagnostic codes had poor sensitivity for all treatment indications, ranging from a high of only 31.2% (95% CI, 26.8%-35.9%) for anxiety/stress disorders to as low as 1.3% (95% CI, 0.0%-5.2%) for sexual dysfunction. Sensitivity was notably worse among older patients and patients with more chronic comorbidities. Physician claims data were a better source of diagnostic codes for antidepressant treatment indications than hospitalization data. CONCLUSIONS: Administrative diagnostic codes are poor proxies for antidepressant treatment indications. Future work should determine whether the use of other variables in administrative data besides diagnostic codes can improve the ability to predict antidepressant treatment indications.

Qualitative study exploring the phenomenon of multiple electronic prescribing systems within single hospital organisations.

BACKGROUND: A previous census of electronic prescribing (EP) systems in England showed that more than half of hospitals with EP reported more than one EP system within the same hospital. Our objectives were to describe the rationale for having multiple EP systems within a single hospital, and to explore perceptions of stakeholders about the advantages and disadvantages of multiple systems including any impact on patient safety. METHODS: Hospitals were selected from previous census respondents. A decision matrix was developed to achieve a maximum variation sample, and snowball sampling used to recruit stakeholders of different professional backgrounds. We then used an a priori framework to guide and analyse semi-structured interviews. RESULTS: Ten participants, comprising pharmacists and doctors and a nurse, were interviewed from four hospitals. The findings suggest that use of multiple EP systems was not strategically planned. Three co-existing models of EP systems adoption in hospitals were identified: organisation-led, clinician-led and clinical network-led, which may have contributed to multiple systems use. Although there were some perceived benefits of multiple EP systems, particularly in niche specialities, many disadvantages were described. These included issues related to access, staff training, workflow, work duplication, and system interfacing. Fragmentation of documentation of the patient's journey was a major safety concern. DISCUSSION: The complexity of EP systems' adoption and deficiencies in IT strategic planning may have contributed to multiple EP systems use in the NHS. In the near to mid-term, multiple EP systems may remain in place in many English hospitals, which may create challenges to quality and patient safety.

Evaluation of the frequency of dispensing electronically discontinued medications and associated outcomes.

OBJECTIVES: To determine if outpatient pharmacies of an academic medical center inadvertently dispense discontinued medications and, if so, if these inadvertently dispensed prescriptions contribute to subsequent hospital admissions and patient harm. METHODS: This was a single-center retrospective chart review. Prescription billing data were analyzed for electronic prescriptions for hypotensives, hypoglycemics, anticoagulants, antiplatelets, and statins picked up from 3 outpatient pharmacies within the health system over a period of 1 year. Prescriptions must have been written by a Michigan Medicine health system provider and were excluded if they were written, faxed, or phoned in. Timestamp of pick-up from the pharmacy was compared with timestamp of prescription discontinuation within the electronic health record (EHR). If the prescription was discontinued before pick-up, timestamps were also assessed to determine if the prescription order was discontinued in the EHR before final pharmacist verification. If a prescription was found to be picked up after it was discontinued, the patient chart was reviewed to determine if he or she was admitted within 30 days of the pick-up date. RESULTS: Overall, 10,649 individual electronic prescriptions met inclusion criteria. Of these, 526 (4.94%) were picked up after the prescription order was discontinued in the EHR. The prescription was discontinued before final pharmacist verification for 287 (54.56%) of these prescriptions. Three of these inadvertently dispensed prescriptions could have contributed to hospital admission 30 days after pick-up for 3 individual patients. CONCLUSION: Electronic prescriptions that have been discontinued within the EHR continue to be dispensed to patients in the outpatient pharmacy setting. These inadvertently dispensed prescriptions have the potential to cause patient harm.

E-Prescribing and Adverse Drug Events: An Observational Study of the Medicare Part D Population With Diabetes.

BACKGROUND: Although the adoption of e-prescriptions among physicians has increased substantially under the Medicare Improvements for Patients and Providers Act and Meaningful Use programs, little is known of its impact on patient outcomes. OBJECTIVE: To examine the impact of e-prescribing on emergency visits or hospitalizations for diabetes-related adverse drug events (ADEs) including hypoglycemia. DESIGN: This is a prospective, observational cohort study with patient fixed effects. SETTING: 2011-2013 fee for service Medicare. PATIENTS: In total, 3.1 million Medicare fee for service, Part D enrolled beneficiaries over age 66 with diabetes mellitus and at least 90 days of antidiabetic medications. MEASUREMENTS: E-prescribing was measured as the percentage of all prescriptions a person received transmitted to the pharmacy electronically. The outcome measure was the occurrence of an emergency department (ED) visit or hospitalization for hypoglycemia or diabetes-related ADE. RESULTS: Unadjusted results show that there were 21 ADEs per 1000 beneficiaries that had ≥75% of their medications e-prescribed. Beneficiaries with lower e-prescribing levels had significantly higher numbers of ADEs. We found a robust association between the greater use of electronic prescriptions in the outpatient setting and the lower risk of an inpatient or ED visit for an ADE event among Medicare beneficiaries with diabetes in our adjusted analysis. At the e-prescribing threshold of 75% and above, significant reductions in ADE risk can be seen. LIMITATIONS: As an observational study, the results show an association but do not prove causation. CONCLUSIONS: Use of e-prescribing is associated with lower risk of an ED visit or hospitalization for diabetes-related ADE.

Decision support during electronic prescription to stem antibiotic overuse for acute respiratory infections: a long-term, quasi-experimental study.

BACKGROUND: Interventions to support decision-making can reduce inappropriate antibiotic use for acute respiratory infections (ARI), but they may not be sustainable. The objective of the study is to evaluate the long-term effectiveness of a clinical decision-support system (CDSS) interposed at the time of electronic (e-) prescriptions for selected antibiotics. METHODS: This is a retrospective, observational intervention study, conducted within a large, statewide Veterans Affairs health system. Participants are outpatients with an initial visit for ARI. A CDSS was deployed upon e-prescription of selected antibiotics during the study period. From 01/2004 to 05/2006 (pre-withdrawal period), the CDSS targeted azithromycin and the fluoroquinolone gatifloxacin. From 05/2006 to 12/2011 (post-withdrawal period), the CDSS was retained for azithromycin but withdrawn for the fluoroquinolone. A manual record review was conducted to determine concordance of antibiotic prescription with ARI treatment guidelines. RESULTS: Of 1131 included ARI visits, 380 (33.6%) were guideline-concordant. For azithromycin, concordance did not change between the pre- and post-withdrawal periods, and adjusted odds of concordance was 8.8 for the full study period, compared to unrestricted antibiotics. For fluoroquinolones, guideline concordance decreased from 88.6% (39 of 44 visits) to 51.3% (59 of 115 visits), pre- vs. post-withdrawal periods (p < 0.005). The adjusted odds of concordance compared to "All Other Antibiotics" visits decreased from 24.4 (95% CI 9.0-66.3) pre-withdrawal to 5.5 (95% CI 3.5-8.8) post-withdrawal (p = .008). Concordance did not change between those same time periods for antibiotics that were never subjected to the intervention ("All Other Antibiotics"). CONCLUSIONS: A CDSS interposed at the time of e-prescription of selected antibiotics can shift their use toward ARI treatment guidelines, and this effect can be maintained over the long term as long as the CDSS remains in place. Removal of the CDSS after 3.5 years of implementation resulted in a rise in guideline-discordant antibiotic use.

Adherence of psychopharmacological prescriptions to clinical practice guidelines in patients with eating behavior disorders.

PURPOSE: The purpose of this study was to analyze the adherence of psychopharmacological prescriptions to clinical practice guidelines (CPGs) for patients with eating behavior disorders (EDs) and to compare the effectiveness, safety, and cost of treatment according to adherence. METHODS: This retrospective observational study included ED patients admitted to the eating disorders unit (EDU) of Ciudad Real Hospital (Spain) between January 2006 and December 2009 and followed until December 2014. Psychopharmaceuticals prescribed during EDU stay(s) were compared with guidelines published by American Psychiatric Association (APA), National Institute for Clinical Excellence (NICE), and Spanish Ministry of Health and Consumption (SMHC). Adherence was considered as the percentage of patients whose prescription followed all recommendations. RESULTS: The study included 113 ED patients. Adherence to APA and NICE/SMHC was 30.1% and 45.1%, respectively. Weekly weight gain during hospital stay was higher (p = 0.037) in the APA "adherence" (807.6 g) versus "non-adherence" (544.4 g) group. An association was found between CPG adherence and higher 5-year full recovery rate (p < 0.040). Adherence to NICE/SMHC was associated with lower incidence (p = 0.001) of adverse effects (33.3% in adherence vs. 66.1% in non-adherence group). CPG adherence was associated with lower medication costs (p < 0.020). The age was higher and there was a greater frequency of self-harm behavior and psychiatric comorbidities in the non-adherence than adherence group (p ≤ 0.040). CONCLUSIONS: CPG adherence was low in EDU-admitted patients. Long-term follow-up showed that clinical outcomes were better and medication costs lower in patients with versus without CPG-adherent prescriptions, likely influenced by the apparently greater severity of illness in those with non-CPG-adherent prescriptions.

Clinical indications for antibiotic use in Danish general practice: results from a nationwide electronic prescription database.

OBJECTIVE: To assess the availability and applicability of clinical indications from electronic prescriptions on antibiotic use in Danish general practice. DESIGN: Retrospective cohort register-based study including the Danish National Prescription Register. SETTING: Population-based study of routine electronic antibiotic prescriptions from Danish general practice. SUBJECTS: All 975,626 patients who redeemed an antibiotic prescription at outpatient pharmacies during the 1-year study period (July 2012 to June 2013). MAIN OUTCOME MEASURES: Number of prescriptions per clinical indication. Number of antibiotic prescriptions per 1000 inhabitants by age and gender. Logistic regression analysis estimated the association between patient and provider factors and missing clinical indications on antibiotic prescriptions. RESULTS: A total of 2.381.083 systemic antibiotic prescriptions were issued by Danish general practitioners in the study period. We identified three main clinical entities: urinary tract infections (n = 506.634), respiratory tract infections (n = 456.354) and unspecified infections (n = 416.354). Women were more exposed to antibiotics than men. Antibiotic use was high in children under 5 years and even higher in elderly people. In 32% of the issued prescriptions, the clinical indication was missing. This was mainly associated with antibiotic types. We found that a prescription for a urinary tract agent without a specific clinical indication was uncommon. CONCLUSION: Clinical indications from electronic prescriptions are accessible and available to provide an overview of drug use, in casu antibiotic prescriptions, in Danish general practice. These clinical indications may be further explored in detail to assess rational drug use and congruence with guidelines, but validation and optimisation of the system is preferable.

Estimating time-varying drug adherence using electronic records: extending the proportion of days covered (PDC) method.

PURPOSE: Accurate measurement of drug adherence is essential for valid risk-benefit assessments of pharmacologic interventions. To date, measures of drug adherence have almost exclusively been applied for a fixed-time interval and without considering changes over time. However, patients with irregular dosing behaviour commonly have a different prognosis than patients with stable dosing behaviour. METHODS: We propose a method, based on the proportion of days covered (PDC) method, to measure time-varying drug adherence and drug dosage using electronic records. We compare a time-fixed PDC method with the time-varying PDC method through detailed examples and through summary statistics of 100 randomly selected patients on statin therapy. RESULTS: We demonstrate that time-varying PDC method better distinguishes an irregularly dosing patient from a stably dosing patient and demonstrate how the time-fixed method can result in a biassed estimate of drug adherence. Furthermore, the time-varying PDC method may be better used to reduce certain types of confounding and misclassification of exposure. CONCLUSIONS: The time-varying PDC method may improve longitudinal and time-to-event studies that associate adherence with a clinical outcome or (intervention) studies that seek to describe changes in adherence over time.

Electronic Prescribing Usability: Reduction of Mental Workload and Prescribing Errors Among Community Physicians.

BACKGROUND: Medical errors are common in hospitals, and research is always needed to find ways of reducing these. This study attempts to address three gaps in this field. First, the factors leading to the reduction of mental workload and its relationship with the reduction of prescribing errors by improving electronic prescribing (e-prescribing) usability have not been empirically examined before. Second, the past research in the field of e-prescribing usability lacks robust theoretical models. Third, there are no existing studies to examine the direct influences of user interface consistency and error prevention with the reduction of mental workload and prescribing errors. MATERIALS AND METHODS: A quantitative survey method was used to collect data from 188 community physicians. The partial least squares path modeling technique was applied to analyze the data. RESULTS: Prescribing errors were reduced by improving the information quality, user interface consistency, system ease of use, and mental workload reduction. Mental workload is reduced by ease of use, error prevention, and consistency. No significant relationships between prescribing error reduction with error prevention and also between information quality with mental workload reduction were found. CONCLUSIONS: The designers of e-prescribing should improve the error prevention and consistency of the system and make it easy to use if they wish for the system to reduce users' mental workload. They should also improve the system information quality, ease of use, and consistency if they claim that their system reduces physicians' prescribing errors. The system should also reduce users' mental workload to meet this objective.

Model of Current Practice Regarding Prescriptions of Controlled Substances and the Perceived Benefits of E-Prescribing in an Academic Medical Center.

To review current practices regarding prescribing controlled substances at an academic medical center and describe possible advantages of electronic prescribing of controlled substances (EPCS). A 10-question multiple choice survey was sent electronically to all house staff at an academic medical center. Aggregated data was analyzed for trends. 193 surveys (18.8 %) were completed. Of all respondents, 46.6 % were not able to write their own prescriptions. 70.0 % have used another provider's prescription pad to write prescriptions. 53.4 % have had prescriptions rejected or not filled by a pharmacy for being written incorrectly. 59.6 % kept a patient as an inpatient for a longer period of time due to the inability to obtain a prescription, costing an estimated $3.28 million per year. 58.0 % needed to have a patient return to the hospital to pick up prescriptions for an estimated 1583 return trips to the hospital yearly. 35.1 % had a patient return to the emergency department due to uncontrolled pain, estimated at $139,000 in yearly emergency department patient charges. The authors' survey highlights some of the financial, legal, efficiency, and satisfaction disadvantages due to the inability to use EPCS. Implementing EPCS and making it ubiquitous may limit some inefficiencies in academic hospital systems.

Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.

To facilitate personalized drug dosing (PDD), this pilot study explored the communication effectiveness and clinical impact of using a prototype clinical decision support (CDS) system embedded in an electronic health record (EHR) to deliver pharmacogenomic (PGx) information to physicians. We employed a conceptual framework and measurement model to access the impact of physician characteristics (previous experience, awareness, relative advantage, perceived usefulness), technology characteristics (methods of implementation-semi-active/active, actionability-low/high) and a task characteristic (drug prescribed) on communication effectiveness (usefulness, confidence in prescribing decision), and clinical impact (uptake, prescribing intent, change in drug dosing). Physicians performed prescribing tasks using five simulated clinical case scenarios, presented in random order within the prototype PGx-CDS system. Twenty-two physicians completed the study. The proportion of physicians that saw a relative advantage to using PGx-CDS was 83% at the start and 94% at the conclusion of our study. Physicians used semi-active alerts 74-88% of the time. There was no association between previous experience with, awareness of, and belief in a relative advantage of using PGx-CDS and improved uptake. The proportion of physicians reporting confidence in their prescribing decisions decreased significantly after using the prototype PGx-CDS system (p=0.02). Despite decreases in confidence, physicians perceived a relative advantage to using PGx-CDS, viewed semi-active alerts on most occasions, and more frequently changed doses toward doses supported by published evidence. Specifically, sixty-five percent of physicians reduced their dosing, significantly for capecitabine (p=0.002) and mercaptopurine/thioguanine (p=0.03). These findings suggest a need to improve our prototype such that PGx CDS content is more useful and delivered in a way that improves physician's confidence in their prescribing decisions. The greatest increases in communication effectiveness and clinical impact of PGx-CDS are likely to be realized through continued focus on content, content delivery, and tailoring to physician characteristics.

Quick assessment of drug-related admissions over time (QUADRAT study).

PURPOSE: To develop a computerized prescreening procedure for the identification of possible/probably Hospital Admissions potential Related to Medications (HARMs). METHOD: Pairs of drugs and reasons for hospitalization (generated automatically from the PHARMO record linkage database by using two data mining techniques) were assessed manually to determine whether they represented pharmacologically plausible adverse drug events (PP-ADEs). Two crude samples of these PP-ADEs (from 2005 and 2008) were examined manually to establish causality and preventability on the basis of hospital discharge letters plus medication dispensing data. The results were used to calculate the positive predictive value (PPV) of the crude causality PP-ADEs, the net percentage of possible/probably HARMs, and their potential preventability. RESULTS: Data mining by Gamma Poisson Shrinkage and trend analysis produced 1330 and 2941 significant drug-event pairs, respectively. After manual assessment, 307 different PP-ADEs remained. The annual prevalence of these PP-ADEs was stable at approximately 8% throughout 2000-2009. Manual assessment of two samples of crude PP-ADEs showed that their causality PPV was 53.7% (95%CI: 52.7%-54.7%) in 2005 and 47.9% (95%CI: 46.9%-49.0%) in 2008. The net contribution of possible/probably HARMs to all acute admissions was 4.6% (95%CI: 4.5%-4.8%) in 2005 and 3.9% (95%CI: 3.8%-4.0%) in 2008. The potential preventability of all possible/probably HARMs in the two samples was 19.3% (95%CI: 18.5-20.1). CONCLUSION: Automated pre-selection of PP-ADEs is an efficient way to monitor crude trends. Further validation and manual assessment of the automatically selected hospitalizations is necessary to get a more detailed and precise picture.