A mixed method study of the merits of e-prescribing drug alerts in primary care.
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ABSTRACT:
SUBMITTER: Lapane KL
PROVIDER: S-EPMC2359504 | biostudies-other | 2008 Apr
REPOSITORIES: biostudies-other
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Project description:Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. Our objective was to improve clinician acceptance of drug alerts by designing a selective set of drug alerts for the ambulatory care setting and minimizing workflow disruptions by designating only critical to high-severity alerts to be interruptive to clinician workflow. The alerts were presented to clinicians using computerized prescribing within an electronic medical record in 31 Boston-area practices. There were 18,115 drug alerts generated during our six-month study period. Of these, 12,933 (71%) were noninterruptive and 5,182 (29%) interruptive. Of the 5,182 interruptive alerts, 67% were accepted. Reasons for overrides varied for each drug alert category and provided potentially useful information for future alert improvement. These data suggest that it is possible to design computerized prescribing decision support with high rates of alert recommendation acceptance by clinicians.
| S-EPMC1380196 | biostudies-literature
Project description:BACKGROUND:The prescribing of psychotropic drugs, i.e. antidepressants, sedatives (anxiolytics, hypnotics), and antipsychotics is considerable and a large proportion is prescribed by general practitioners (GPs). There are concerns about dependency and medicalisation, and treatment decisions in psychiatry may appear arbitrary. Increased knowledge of GPs' opinions on the prescribing of psychotropics may lead to more rational use of these drugs. We aimed to quantify GPs' attitudes, beliefs and behaviour towards various aspects of psychotropic drug prescribing. METHODS:A questionnaire was distributed to physicians in all 199 GP practices in Region Västra Götaland, Sweden. The questions concerned determinants of psychotropic drug prescribing that had been identified in a previous, qualitative study. RESULTS:Questionnaires from 516 physicians (64% of whom were specialists in family medicine, 21% interns in family medicine, 15% others) at 152 GP practices (59% of which were state owned, 72% in an urban area, with a median of 7808 registered patients) were returned (estimated response rate: 48%). A majority - 62% - of GPs found it easier to start prescribing psychotropic drugs than to stop (95% confidence interval, 57%, 66%) vs. 8% (6%, 10%). Most GPs considered psychotherapy more suitable than psychotropic drugs in cases of mild psychiatric disease: 81% (77%, 84%) vs. 4% (3%, 6%). The problems treated with psychotropic drugs were considered to be mostly socioeconomic, or mostly medical, by similar proportions of physicians: 38% (34%, 42%) vs. 40% (36%, 45%). GPs were on average satisfied with their levels of antidepressant and sedative prescribing in relation to medical needs. More GPs regarded their prescribing of antipsychotics as being too low rather than too high: 33% (28%, 39%) vs. 7% (4%, 10%). CONCLUSIONS:This study illustrates the complexities of psychiatric drug treatment in primary care and identifies potential drivers of increased prescribing of psychotropics. The manifold factors, medical and non-medical, that affect prescribing decisions may explain a sense of arbitrariness surrounding psychotropic drug treatment. This notwithstanding, GPs seem mostly content with their prescribing.
| S-EPMC6321667 | biostudies-other
Project description:ObjectiveThis study aims to describe the primary care services carried out by Oral Health Teams (OHTs) in Brazil, and to understand the nuances that lead to different levels of OHT performance.Material & methodsA mixed-methods study with a sequential explanatory design was developed. In the quantitative phase, secondary data from a national survey (PMAQ-AB) was used to describe the work of 12,403 OHTs. Item response theory (IRT) was applied, to evaluate the psychometric qualities of 20 oral health questions from PMAQ-AB and to identify the performance of OHT. The quantitative results guided the selection of the qualitative sample. An extreme case sampling strategy was used (opposite results). OHTs were selected from Belo Horizonte metropolitan region in Brazil using scores measured by IRT. Data were collected through semi-structured interviews. Data analysis was conducted using deductive and inductive thematic analysis.ResultsQuantitative results showed that there are OHT with high and low performance in Brazil. The IRT analysis showed that items related to prostheses and oral cancer tend to discriminate high-performance OHTs from other OHTs. Qualitative results deepened the understanding of accessing oral health services and found several access barriers, such as the insufficient number of OHTs for the population, and a very long waiting time for dental consultations other than urgency. The qualitative results confirmed that high-performance OHTs tend to emphasize oral cancer surveillance and deliver prostheses in PHC services.ConclusionDespite the expansion of oral health in PHC in Brazil in recent years, OHTs still face many challenges such as: access barriers; failures in prevention, early diagnosis and follow-up of oral cancer cases; and insufficient rehabilitation with prostheses.
| S-EPMC6542530 | biostudies-literature
Project description:BackgroundHealthcare costs attributable to obesity have previously involved estimations based on costs of diseases commonly considered as having obesity as an underlying factor.AimTo quantify the impact of obesity on total primary care drug prescribing.Design of studyReview of computer generated and handwritten prescriptions to determine total prescribing volume for all drug classes.SettingTwenty-three general practice surgeries in the UK.MethodStratified random selection of 1150 patients who were obese (body mass index [BMI]>30 kg/m(2)) and 1150 age and sex-matched controls of normal weight (BMI 18.5-<25 kg/m(2)). Retrospective review of medical records over an 18-month period.ResultsA higher percentage of patients who were obese, compared with those of normal weight, were prescribed at least one drug in the following disease categories: cardiovascular (36% versus 20%), central nervous system (46% versus 35%), endocrine (26% versus 18%), and musculoskeletal and joint disease (30% versus 22%). All of these categories had a P-value of <0.001. Other categories, such as gastrointestinal (24% versus 18%), infections (42% versus 35%), skin (24% versus 19%) had a P-value of <0.01, while respiratory diseases (18% versus 21%) had a P-value of <0.05. Total prescribing volume was significantly higher for the group with obesity and was increased in the region of two- to fourfold in a wide range of prescribing categories: ulcer healing drugs, lipid regulators, beta-adrenoreceptor drugs, drugs affecting the rennin angiotensin system, calcium channel blockers, antibacterial drugs, sulphonylureas, biguanides, non-steroidal anti-inflammatories (NSAIDs) (P<0.001) and fibrates, angiotensin II antagonists, and thyroid drugs (P<0.05). The main impact on prescribing volumes is from numbers of patients treated, although in some areas there is an effect from greater dosage or longer treatment in those who are obese including calcium channel blockers, antihistamines, hypnotics, drugs used in the treatment of nausea and vertigo, biguanides, and NSAIDs (P<0.05) reflected in significantly increased defined daily dose prescribing.ConclusionsThis large study of contemporary practice indicates that obesity more than doubled prescribing in most drug categories.
| S-EPMC1562331 | biostudies-literature
Project description:To assess the risk of medication errors in subjects with renal impairment (defined as an estimated glomerular filtration rate (eGFR) ?40 ml/min/1.73 m(2)) and the effectiveness of automatic eGFR ?40-alerts relayed to community pharmacists.Clinical survey.The city of Zwolle, The Netherlands, in a primary care setting including 22 community pharmacists and 65 general practitioners.All adults who underwent ambulatory creatine measurements which triggered an eGFR ?40-alert.The total number of ambulatory subjects with an eGFR ?40-alert during the study period of 1 year and the number of medication errors related to renal impairment. The type and number of proposed drug adjustments recommended by the community pharmacist and acceptance rate by the prescribing physicians. Classification of all medication errors on their potential to cause an adverse drug event (ADE) and the actual occurrence of ADEs (limited to those identified through hospital record reviews) 1 year after the introduction of the alerts.Creatine measurements were performed in 25 929 adults. An eGFR ?40-alert was indicated for 5.3% (n=1369). This group had a median (IQR) age of 78 (69, 84) years, and in 73% polypharmacy (?5 drugs) was present. In 15% (n=211) of these subjects, a medication error was detected. The proportion of errors increased with age. Pharmacists recommended 342 medication adjustments, mainly concerning diuretics (22%) and antibiotics (21%). The physicians' acceptance rate was 66%. Of all the medication errors, 88% were regarded as potential ADEs, with most classified as significant or serious. At follow-up, the ADE risk (n=40) appeared highest when the proposed medication adjustments were not implemented (38% vs 6%).The introduction of automatic eGFR-alerts identified a considerable number of subjects who are at risk for ADEs due to renal impairment in an ambulatory setting. The nationwide implementation of this simple protocol could identify many potential ADEs, thereby substantially reducing iatrogenic complications in subjects with impaired renal function.
| S-EPMC3563134 | biostudies-literature
Project description:Objectives(A) To measure the extent to which different candidate outcome measures identified high-risk prescribing that is potentially changeable by the data-driven quality improvement in primary care (DQIP) intervention.(B) To explore the value of reviewing identified high-risk prescribing to clinicians.(C) To optimise the components of the DQIP intervention.DesignMixed method study.SettingGeneral practices in two Scottish Health boards.Participants4 purposively sampled general practices of varying size and socioeconomic deprivation.Outcome measuresPrescribing measures targeting (1) high-risk use of the non-steroidal anti-inflammatory drugs (NSAIDs) and antiplatelets; (2) 'Asthma control' and (3) 'Antithrombotics in atrial fibrillation (AF)'.InterventionThe prescribing measures were used to identify patients for review by general practices. The ability of the measures to identify potentially changeable high-risk prescribing was measured as the proportion of patients reviewed where practices identified a need for action. Field notes were recorded from meetings between researchers and staff and key staff participated in semistructured interviews exploring their experience of the piloted intervention processes.ResultsPractices identified a need for action in 68%, 25% and 18% of patients reviewed for prescribing measures (1), (2) and (3), respectively. General practitioners valued being prompted to review patients, and perceived that (1) 'NSAID and antiplatelet' and (2) 'antithrombotics in AF' were the most important to act on. Barriers to initial and ongoing engagement and to sustaining improvements in prescribing were identified.Conclusions'NSAIDs and antiplatelets' measures were selected as the most suitable outcome measures for the DQIP trial, based on evidence of this prescribing being more easily changeable. In response to the barriers identified, the intervention was designed to include a financial incentive, additional ongoing feedback on progress and reprompting review of patients, whose high-risk prescribing was restarted after a decision to stop.Trial registration numberClinicaltrials.gov NCT01425502.
| S-EPMC3902335 | biostudies-literature
Project description: Not available
| S-EPMC10712714 | biostudies-literature
Project description:BACKGROUND:Medication errors are a serious and complex problem in clinical practice, especially in intensive care units whose patients can suffer potentially very serious consequences because of the critical nature of their diseases and the pharmacotherapy programs implemented in these patients. The origins of these errors discussed in the literature are wide-ranging, although far-reaching variables are of particular special interest to those involved in training nurses. The main objective of this research was to study if the level of knowledge that critical-care nurses have about the use and administration of medications is related to the most common medication errors. METHODS:This was a mixed (multi-method) study with three phases that combined quantitative and qualitative techniques. In phase 1 patient medical records were reviewed; phase 2 consisted of an interview with a focus group; and an ad hoc questionnaire was carried out in phase 3. RESULTS:The global medication error index was 1.93%. The main risk areas were errors in the interval of administration of antibiotics (8.15% error rate); high-risk medication dilution, concentration, and infusion-rate errors (2.94% error rate); and errors in the administration of medications via nasogastric tubes (11.16% error rate). CONCLUSIONS:Nurses have a low level of knowledge of the drugs they use the most and with which a greater number of medication errors are committed in the ICU.
| S-EPMC6729050 | biostudies-literature
Project description:ImportancePolicy makers have sought to discourage concurrent prescribing of opioids and benzodiazepines (coprescribing) because it is associated with overdose. Email alerts sent by pharmacists may reduce coprescribing, but this intervention lacks randomized evidence.ObjectiveTo investigate whether pharmacist emails to practitioners caring for patients who recently received opioids and benzodiazepines reduce coprescribing of these medications.Design, setting, and participantsRandomized clinical trial (intention to treat) conducted in 2019-2021 of patients and their practitioners (prescribers and primary care managers) in the National Capital Region of the Military Health System. Participants were 2237 patients who were recently coprescribed opioids and benzodiazepines. These patients had 789 practitioners eligible for emails.InterventionsPatients were randomized to email alerts to their practitioners or as-usual care. Clinical pharmacists sent the email alert. Messages were standardized and designed to facilitate coordination between practitioners, increase awareness of guidelines, and provide action steps and resources.Main outcomes and measuresThe primary outcomes were patients' days received of opioids, benzodiazepines, and concurrent opioids and benzodiazepines during the 90 days following enrollment evaluated using 1-sided hypothesis tests. Secondary outcomes included total prescribing of opioids and benzodiazepines by patients' practitioners, including to patients outside the study, to test for broader outcomes on their prescribing.ResultsOf 2237 patients, 1187 were assigned to treatment and 1050 to control; 1275 (57%) were women. Patients received a mean (SD) of 31 (44) days of opioids and 33 (34) days of benzodiazepines in the 90 days before enrollment. There were no detected differences in the primary end points, including patients' receipt of opioids (adjusted difference, 1.1 days; 95% CI, -∞ to 3.0; P = .81), benzodiazepines (adjusted difference, -0.6 days; 95% CI, -∞ to 1.4; P = .30), and opioids and benzodiazepines together (adjusted difference, -0.1 days; 95% CI, -∞ to 0.7; P = .41). Of 789 practitioners, 429 were considered the treatment group, 325 were considered controls, and 35 were excluded. There were no detected differences in practitioners' total prescribing of opioids, benzodiazepines, or both drug classes together.Conclusions and relevanceIn this randomized clinical trial of pharmacist emails to practitioners, email alerts failed to detectably reduce coprescribing, highlighting the value of alternative approaches. Combining randomization with quality improvement activities may help stakeholders seeking evidence-based interventions to encourage guideline-concordant care.Trial registrationClinicalTrials.gov Identifier: NCT03887247.
| S-EPMC9526090 | biostudies-literature
Project description:To develop a simple, valid model to identify patients at high risk of opioid overdose-related hospitalization and mortality, Oregon prescription drug monitoring program, Vital Records, and Hospital Discharge data were linked to estimate 2 logistic models; a first model that included a broad range of risk factors from the literature and a second simplified model. Receiver operating characteristic curves, sensitivity, and specificity of the models were analyzed. Variables retained in the final model were categories such as older than 35 years, number of prescribers, number of pharmacies, and prescriptions for long-acting opioids, benzodiazepines or sedatives, or carisoprodol. The ability of the model to discriminate between patients who did and did not overdose was reasonably good (area under the receiver operating characteristic curve = 0.82, Nagelkerke R = 0.11). The positive predictive value of the model was low. Computationally simple models can identify high-risk patients based on prescription history alone, but improvement of the predictive value of models may require information from outside the prescription drug monitoring program. Patient or prescription features that predict opioid overdose may differ from those that predict diversion.
| S-EPMC5893429 | biostudies-literature