Advanced prescription of injectable anticancer drugs: Safety assessment in a European Comprehensive Cancer Centre using the risk matrix approach.

AIMS: The purpose of this work was to assess failures in the advanced prescription of parenteral anticancer agents in an adult day oncology care unit with more than 100 patients per day. METHODS: An a priori descriptive analysis was carried out by using the risk matrix approach. After defining the scope in a multidisciplinary meeting, we determined at each step the failure modes (FMs), their effects (E) and their associated causes (C). A severity score (S) was assigned to all effects and a probability of occurrence (O) to all causes. These S and O indicators, were used to obtain a criticality index (CI) matrix. We assessed the risk control (RC) of each failure in order to define a residual criticality index (rCI) matrix. RESULTS: During risk analysis, 14 FMs were detected, and 61 scenarios were identified considering all possible effects and causes. Nine situations (15%) were highlighted with the maximum CI, 18 (30%) with a medium CI, and 34 (55%) with a negligible CI. Nevertheless, among all these critical situations, only three (5%) had an rCI to process (i.e., missed dose adjustment, multiple prescriptions and abnormal biology data); the others required monitoring only. Clinicians' and pharmacists' knowledge of these critical situations enables them to manage the associated risks. CONCLUSIONS: Advanced prescription of injectable anticancer drugs appears to be a safe practice for patients when combined with risk management. The major risks identified concerned missed dose adjustment, prescription duplication and lack of consideration for abnormal biology data.

Individual Circadian Preference, Shift Work, and Risk of Medication Errors: A Cross-Sectional Web Survey among Italian Midwives.

BACKGROUND: In order to explore the possible association between chronotype and risk of medication errors and chronotype in Italian midwives, we conducted a web-based survey. The questionnaire comprised three main components: (1) demographic information, previous working experience, actual working schedule; (2) individual chronotype, either calculated by Morningness-Eveningness Questionnaire (MEQ); (3) self-perception of risk of medication error. RESULTS: Midwives (n = 401) responded "yes, at least once" to the question dealing with self-perception of risk of medication error in 48.1% of cases. Cluster analysis showed that perception of risk of medication errors was associated with class of age 31-35 years, shift work schedule, working experience 6-10 years, and Intermediate-type MEQ score. CONCLUSIONS: Perception of the risk of medication errors is present in near one out of two midwives in Italy. In particular, younger midwives with lower working experience, engaged in shift work, and belonging to an Intermediate chronotype, seem to be at higher risk of potential medication error. Since early morning hours seem to represent highest risk frame for female healthcare workers, shift work is not always aligned with individual circadian preference. Assessment of chronotype could represent a method to identify healthcare personnel at higher risk of circadian disruption.

Characteristics of Reported Pediatric Medication Errors in Northern Ireland and Use in Quality Improvement.

BACKGROUND: To protect children from harm, clinicians, educators, and patient safety champions need information to direct improvement efforts. Critical incident data could provide this but are often disregarded as a source of evidence because under-reporting makes them an inaccurate measure of error rates. OBJECTIVE: Our aim was to identify key targets for pediatric healthcare quality improvement. The objective was to evaluate the types, characteristics, and areas of risk within reported medication errors in pediatric patients. METHODS: We conducted a retrospective study of a large regional dataset of 1522 pediatric medication errors reported from secondary care between 2011 and 2015, including all hospitals and community pediatric settings in Northern Ireland. The following characteristics were included: error severity, patient age, drug involved, error type, and area of practice. Two academic pediatricians, a senior medicines governance pharmacist, a Reader in Pharmacy Practice, and a Professor of Medical Education analyzed the data. Validity checks included comparing the findings against key published literature and discussion by a practitioner panel representing five multidisciplinary stakeholder groups. RESULTS: Neonates, particularly in intensive care, were implicated in 19% of all errors. The medications most represented in risk were antimicrobials, paracetamol, vaccines, and intravenous fluids. The error types most implicated were dosing errors (32%) and omissions (21%). CONCLUSIONS: Incident reports identified neonates, a shortlist of drugs, and specific error types, associated with modifiable behaviors, as priority improvement targets. These findings direct further study and inform intervention development, such as specific training in calculations to prevent dosing errors. Involving experienced practitioners both endorsed the findings and engaged the practice community in their future implementation. The utility of incident reports to direct improvement efforts may offset the limitations in their representativeness.

Comparison of the effects of simulation training and problem-based scenarios on the improvement of graduating nursing students to speak up about medication errors: A quasi-experimental study.

BACKGROUND: Medication administration errors are common among new nurses. Nursing students might be less willing to speak up about errors because of a lack of knowledge and experience. OBJECTIVES: To examine the effects of simulation training and problem-based scenarios on speaking up about medication errors among graduating nursing students. DESIGN: Prospective, controlled experimental study design. SETTING: A university four-year nursing program in Taiwan. PARTICIPANTS: In total, 93 graduating nursing students in their last semester were recruited. Sixty-six students who received both a problem-based scenario and medication administration simulation training comprised the experimental group, while 27 students who received problem-based scenarios alone comprised the control group. METHODS: Experimental group students underwent 2 h of simulation training. This training class was designed based on Kolb's experiential learning theory for knowledge development and speaking up about errors. Students in both groups administered medications in problem-based scenarios with eight embedded errors. Students' performance in speaking up about medication errors was directly observed and graded using an objective structured checklist. The McNeamer Chi-squared test, paired t-test, Z test, t-test, and Hedges' g effect size were conducted. RESULTS: The number of times participants spoke up about medication errors significantly improved in both the experimental group (pre-test: 2.05 ± 1.12 and post-test 6.14 ± 1.25, t = 22.85, p<0.001) and control group (pretest: 2.04 ± 1.16 and post-test: 4.26 ± 1.63, t = 6.33, p<0.001). However, after the intervention, the mean number of times participants spoke up about medication errors in the experimental group was significantly higher than that in the control group (t = 5.99, p<0.001) in the post-test. CONCLUSIONS: Simulation training exhibited more-significant improvements than problem-based scenarios. Nursing schools and hospitals should incorporate simulation training or at least problem-based scenarios to improve medication safety.

Development of an algorithm to detect methotrexate wrong frequency error using computerized health care data.

PURPOSE: We validated an algorithm to detect frequency errors in computerized healthcare data and estimated the incidence of these errors in an integrated healthcare system. METHODS: We applied Sentinel System analytic tools on the electronic health records of Kaiser Permanente, Northern California, January 1, 2010, through May 30, 2015,to identify rheumatoid arthritis (RA) patients with new use of methotrexate (365-day baseline period). We identified potential methotrexate frequency errors using ICD-9 code 995.20 (adverse drug event), Current Procedural Terminology (CPT) code 96409 for injection of leucovorin and prescription refill patterns. We performed chart review to confirm the frequency errors, assessed performance for detecting frequency errors, and estimated the incidence of chart-confirmed errors. RESULTS: The study included 24,529 methotrexate dispensings among 3,668 RA patients. Among these, 722 (3%) had one dispensing and 23,807 (97.1%) had ≥2 dispensings during 1-year follow-up period. We flagged 653 (2.7%) with a potential medication error (46 with one dispensing and 607 with ≥2 dispensings). We sampled 94 for chart review, and confirmed three methotrexate errors. All three confirmed frequency errors involved a first methotrexate dispensing followed by injected rescue therapy, leucovorin, (positive predictive value, 60%; 95% confidence interval [CI], 15-95%). No potential errors were found among patients with ≥2 dispensings. We estimated the frequency error incidence among one methotrexate dispensing to be 0.4% (95%CI, 0.1% to 1.2%). CONCLUSION: Rescue therapy is a specific indicator of methotrexate overdose among first methotrexate dispensings. This method is generalizable to other medications with serious adverse events treated with antidotes.

Development of a multivariable prediction model for identification of patients at risk for medication transfer errors at ICU discharge.

INTRODUCTION: Discharge from the intensive care unit (ICU) is a high-risk process, leading to numerous potentially harmful medication transfer errors (PH-MTE). PH-MTE could be prevented by medication reconciliation by ICU pharmacists, but resources are scarce, which renders the need for predicting which patients are at risk for PH-MTE. The aim of this study was to develop a prognostic multivariable model in patients discharged from the ICU to predict who is at increased risk for PH-MTE after ICU discharge, using predictors of PH-MTE that are readily available at the time of ICU discharge. MATERIAL AND METHODS: Data for this study were derived from the Transfer ICU Medication reconciliation study, which included ICU patients and scored MTE at discharge of the ICU. The potential harm of every MTE was estimated with a validated score, where after MTE with potential for harm were indicated as PH-MTE. Predictors for PH-MTE at ICU discharge were identified using LASSO regression. The c statisticprovided a measure of the overall discriminative ability of the prediction model and the prediction model was internally validated by bootstrap resampling. Based on sensitivity and specificity, the cut-off point of the prediction model was determined. RESULTS: The cohort contained 258 patients and six variables were identified as predictors for PH-MTE: length of ICU admission, number of home medications and patient taking one of the following medication groups at home: vitamin/mineral supplements, cardiovascular medication, psycholeptic/analeptic medication and medication for obstructive airway disease. The c of the final prediction model was 0.73 (95%CI 0.67-0.79) and decreased to 0.62 according to bootstrap resampling. At a cut-off score of two the prediction model yielded a sensitivity of 70% and a specificity of 61%. CONCLUSIONS: A multivariable prediction model was developed to identify patients at risk for PH-MTE after ICU discharge. The model contains predictors that are available on the day of ICU discharge. Once external validation and evaluation of this model in daily practice has been performed, its incorporation into clinical practice could potentially allow institutions to identify patients at risk for PH-MTE after ICU discharge, on the day of ICU discharge, thus allowing for efficient, patient-specific allocation of clinical pharmacy services. TRIAL REGISTRATION: Dutch trial register: NTR4159, 5 September 2013, retrospectively registered.

Patterns of Dementia Treatment and Frank Prescribing Errors in Older Adults With Parkinson Disease.

Importance: Dementia is common in Parkinson disease, but few data exist on dementia treatment patterns or the concurrent use of acetylcholinesterase inhibitors (ACHEIs) and anticholinergic medications, a frank prescribing error. Objectives: To describe dementia treatment patterns, and to determine the extent to which the concurrent use of ACHEIs and drugs with strong anticholinergic activity occurs among individuals with Parkinson disease in the United States. Design, Setting, and Participants: This cross-sectional analysis included adult Medicare beneficiaries (aged 65 years or older) with Parkinson disease diagnosis with 12 consecutive months of inpatient, outpatient, and prescription drug coverage from January 1, 2014, through December 31, 2014. Beneficiaries with other parkinsonian syndromes were excluded. Demographic, geographic, prescription claims, and other data were extracted from the 2014 Carrier, Beneficiary Summary, and Prescription Drug Event research identifiable files of the Centers for Medicare & Medicaid Services. Data analysis was conducted from August 1, 2017, to November 30, 2017. Main Outcomes and Measures: Primary outcomes were use of dementia drug, specific dementia medication, and concurrent exposure to a high-potency anticholinergic drug and an ACHEI. Descriptive analyses and multivariable logistic regression models determined the extent to which patient characteristics and comorbid conditions were associated with dementia treatment or with a high-potency anticholinergic and ACHEI never event. Results: Of 268 407 Medicare beneficiaries with Parkinson disease (mean [SD] age, 78.9 [7.5]; 134 575 male [50.1%]), most were identified in the files as white (232 831 [86.7%]), followed by black (14 629 [5.5%]), Hispanic (7176 [2.7%]), Asian (7115 [2.7%]), and Native American (874 [0.3%]). Among these beneficiaries, 73 093 (27.2%) were given a prescription for at least 1 antidementia medication. The most commonly prescribed medication was donepezil hydrochloride (46 027 [63.0%] users), followed by memantine hydrochloride (30 578 [41.8%] users) and rivastigmine tartrate (19 278 [26.4%] users). Dementia drugs were more likely to be prescribed to black (adjusted odds ratio [AOR], 1.33; 95% CI, 1.28-1.38) and Hispanic (AOR, 1.28; 95% CI, 1.22-1.35) beneficiaries and less likely for Native American beneficiaries (AOR, 0.62; 95% CI, 0.51-0.74). Women were less likely than men to be given a prescription for dementia medication (AOR, 0.85; 95% CI, 0.84-0.87). Of the 64 017 beneficiaries receiving an ACHEI, 28 495 (44.5%) experienced at least 1 high-potency anticholinergic-ACHEI event. Hispanic (AOR, 1.11; 95% CI, 1.00-1.23) and women (AOR, 1.30; 95% CI, 1.25-1.35) beneficiaries had greater odds of experiencing this never event. Statistically significant clusters of the prevalence of this prescribing error were observed across the United States (Moran I = 0.24; P < .001), with clusters of high prevalence in the southern and midwestern states. Conclusions and Relevance: Dementia medication use by persons with Parkinson disease varies by race/ethnicity and sex; potentially inappropriate prescribing is common among those being treated for cognitive impairment and varies by race/ethnicity, sex, and geography. These findings may serve as national and local targets for improving care quality and outcomes for persons with Parkinson disease.

Investigating health information systems-induced errors.

PURPOSE: The purpose of this paper is to present a review of health information system (HIS)-induced errors and its management. This paper concludes that the occurrence of errors is inevitable but it can be minimised with preventive measures. The review of classifications can be used to evaluate medical errors related to HISs using a socio-technical approach. The evaluation could provide an understanding of errors as a learning process in managing medical errors. DESIGN/METHODOLOGY/APPROACH: A literature review was performed on issues, sources, management and approaches to HISs-induced errors. A critical review of selected models was performed in order to identify medical error dimensions and elements based on human, process, technology and organisation factors. FINDINGS: Various error classifications have resulted in the difficulty to understand the overall error incidents. Most classifications are based on clinical processes and settings. Medical errors are attributed to human, process, technology and organisation factors that influenced and need to be aligned with each other. Although most medical errors are caused by humans, they also originate from other latent factors such as poor system design and training. Existing evaluation models emphasise different aspects of medical errors and could be combined into a comprehensive evaluation model. RESEARCH LIMITATIONS/IMPLICATIONS: Overview of the issues and discourses in HIS-induced errors could divulge its complexity and enable its causal analysis. PRACTICAL IMPLICATIONS: This paper helps in understanding various types of HIS-induced errors and promising prevention and management approaches that call for further studies and improvement leading to good practices that help prevent medical errors. ORIGINALITY/VALUE: Classification of HIS-induced errors and its management, which incorporates a socio-technical and multi-disciplinary approach, could guide researchers and practitioners to conduct a holistic and systematic evaluation.

What causes medication administration errors in a mental health hospital? A qualitative study with nursing staff.

OBJECTIVE: Medication administration errors (MAEs) are a common risk to patient safety in mental health hospitals, but an absence of in-depth studies to understand the underlying causes of these errors limits the development of effective remedial interventions. This study aimed to investigate the causes of MAEs affecting inpatients in a mental health National Health Service (NHS) hospital in the North West of England. METHODS: Registered and student mental health nurses working in inpatient psychiatric units were identified using a combination of direct advertisement and incident reports and invited to participate in semi-structured interviews utilising the critical incident technique. Interviews were designed to capture the participants' experiences of inpatient MAEs. All interviews were transcribed verbatim and subject to framework analysis to illuminate the underlying active failures, error/violation-provoking conditions and latent failures according to Reason's model of accident causation. RESULTS: A total of 20 participants described 26 MAEs (including 5 near misses) during the interviews. The majority of MAEs were skill-based slips and lapses (n = 16) or mistakes (n = 5), and were caused by a variety of interconnecting error/violation-provoking conditions relating to the patient, medicines used, medicines administration task, health care team, individual nurse and working environment. Some of these local conditions had origins in wider organisational latent failures. Recurrent and influential themes included inadequate staffing levels, unbalanced staff skill mix, interruptions/distractions, concerns with how the medicines administration task was approached and problems with communication. CONCLUSIONS: To our knowledge this is the first published in-depth qualitative study to investigate the underlying causes of specific MAEs in a mental health hospital. Our findings revealed that MAEs may arise due to multiple interacting error and violation provoking conditions and latent 'system' failures, which emphasises the complexity of this everyday task facing practitioners in clinical practice. Future research should focus on developing and testing interventions which address key local and wider organisational 'systems' failures to reduce error.

Factors contributing to serious adverse events in nursing homes.

AIMS AND OBJECTIVES: To identify the most common serious adverse events that occurred in nursing homes and their most frequent contributing factors to the improvement of safe nursing care. BACKGROUND: There is a need to improve safe nursing care in nursing homes. Residents are often frail and vulnerable with extensive needs for nursing care. A relatively minor adverse event in nursing care can cause serious injury that could have been preventable. DESIGN: This was a retrospective study, with a total sample of data regarding adverse events (n = 173) in nursing homes, concerning nursing care reported by healthcare providers in Sweden to the Health and Social Care Inspectorate. The reports were analysed with content analysis, and the frequencies of the adverse events, and their contributing factors, were described with descriptive statistics. RESULTS: Medication errors, falls, delayed or inappropriate intervention and missed nursing care contributed to the vast majority (89%) of the serious adverse events. A total of 693 possible contributing factors were identified. The most common contributing factors were (i) lack of competence, (ii) incomplete or lack of documentation, (iii) teamwork failure and (iv) inadequate communication. CONCLUSIONS: The contributing factors frequently interacted yet they varied between different groups of serious adverse events. The resident's safety depends on the availability of staff's competence as well as adequate documentation about the resident's condition. Lack of competence was underestimated by healthcare providers. RELEVANCE TO CLINICAL PRACTICE: Registered nurses and assistant nurses need to have awareness of contributing factors to adverse events in nursing care. A holistic approach to improve patient safety in nursing homes requires competence of the staff, safe environments as well as resident's and relative's participation.

Factors associated with medication administration errors and why nurses fail to report them.

BACKGROUND: Patient safety is a significant challenge facing healthcare systems. The administration of medication is pivotal to patient safety, and errors in drug administration are associated with mortality and morbidity. In this study, we assessed the factors contributing to the occurrence and reporting of medication errors from the nurse's perspective. METHODS: In this descriptive cross-sectional study, we distributed a validated questionnaire to 367 nurses at a large public hospital and obtained a response rate of 73.4%. The questionnaire comprised 65 questions, including 29 on the causes of medication errors, 16 on the reasons why medication errors are not reported and 20 that estimated the percentages of the different medication errors actually reported. Informed consent was obtained from all participants, and the anonymity and confidentiality of participants' information were preserved throughout the process. This study received institutional review board approval. Descriptive statistics were used for data analysis. RESULTS: The main factors associated with medication errors by nurses were related to medication packaging, nurse-physician communication, pharmacy processes, nurse staffing and transcribing issues. The main barriers to the reporting of errors by nurses were related to the administrative response, fear of reporting and disagreements regarding the definitions of errors. CONCLUSION: Medication errors by nurses are related to medication packaging, poor communication, unclear medication orders, workload and staff rotation. To prevent medication errors, teamwork must be improved. All healthcare settings should emphasise awareness of the culture of safety, provide support and guidance to nurses and improve communication skills. We also recommend the use of integrated health informatics, including computerised drug administration systems. The limitations of this study include the potential for nonresponse bias associated with the sampling method. Further research is required to explore the complex and multidimensional causes of medication errors and review the responses of nurses regarding the errors reported.

Patient safety incident reports related to traditional Japanese Kampo medicines: medication errors and adverse drug events in a university hospital for a ten-year period.

BACKGROUND: Kampo medicine is traditional Japanese medicine, which originated in ancient traditional Chinese medicine, but was introduced and developed uniquely in Japan. Today, Kampo medicines are integrated into the Japanese national health care system. Incident reporting systems are currently being widely used to collect information about patient safety incidents that occur in hospitals. However, no investigations have been conducted regarding patient safety incident reports related to Kampo medicines. The aim of this study was to survey and analyse incident reports related to Kampo medicines in a Japanese university hospital to improve future patient safety. METHODS: We selected incident reports related to Kampo medicines filed in Toyama University Hospital from May 2007 to April 2017, and investigated them in terms of medication errors and adverse drug events. RESULTS: Out of 21,324 total incident reports filed in the 10-year survey period, we discovered 108 Kampo medicine-related incident reports. However, five cases were redundantly reported; thus, the number of actual incidents was 103. Of those, 99 incidents were classified as medication errors (77 administration errors, 15 dispensing errors, and 7 prescribing errors), and four were adverse drug events, namely Kampo medicine-induced interstitial pneumonia. The Kampo medicine (crude drug) that was thought to induce interstitial pneumonia in all four cases was Scutellariae Radix, which is consistent with past reports. According to the incident severity classification system recommended by the National University Hospital Council of Japan, of the 99 medication errors, 10 incidents were classified as level 0 (an error occurred, but the patient was not affected) and 89 incidents were level 1 (an error occurred that affected the patient, but did not cause harm). Of the four adverse drug events, two incidents were classified as level 2 (patient was transiently harmed, but required no treatment), and two incidents were level 3b (patient was transiently harmed and required substantial treatment). CONCLUSIONS: There are many patient safety issues related to Kampo medicines. Patient safety awareness should be raised to prevent medication errors, especially administration errors, and adverse drug events in Kampo medicine.

Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews

Objective: The purpose of this overview (systematic review of systematic reviews) is to evaluate the impact of clinical decision support systems (CDSS) applied to medication use in the care process. Methods: A search for systematic reviews that address CDSS was performed on Medline following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane recommendations. Terms related to CDSS and systematic reviews were used in combination with Boolean operators and search field tags to build the electronic search strategy. There was no limitation of date or language for inclusion. We included revisions that investigated, as a main or secondary objective, changes in process outcomes. The Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) score was used to evaluate the quality of the studies. Results: The search retrieved 954 articles. Five articles were added through manual search, totaling an initial sample of 959 articles. After screening and reading in full, 44 systematic reviews met the inclusion criteria. In the medication-use processes where CDSS was used, the most common stages were prescribing (n=38 (86.36%) and administering (n=12 (27.27%)). Most of the systematic reviews demonstrated improvement in the health care process (30/44 - 68.2%). The main positive results were related to improvement of the quality of prescription by the physicians (14/30 - 46.6%) and reduction of errors in prescribing (5/30 - 16.6%). However, the quality of the studies was poor, according to the score used. Conclusion: CDSSs represent a promising technology to optimize the medication-use process, especially related to improvement in the quality of prescriptions and reduction of prescribing errors, although higher quality studies are needed to establish the predictors of success in these systems (AU)

No disponible

The impact of pharmacy services on opioid prescribing in dental practice.

OBJECTIVES: To compare rates of dental opioid prescribing between periods of full and partial integration of pharmacy services and periods of no integration. METHODS: This observational study used a retrospective chart review of opioid prescriptions written by dental providers practicing in a free dental clinic for the medically underserved over a period of 74 months. Pharmacy services were fully integrated into the practice model for 48 of the 74 months under study. During this time frame, all dental opioid orders required review by the pharmacy department before prescribing. Outcomes related to prescribing rates and errors were compared between groups, which were defined by the level of integrated pharmacy services. Demographic and prescription-specific data (drug name, dose, quantity, directions, professional designation of individual entering order) and clinic appointment data were collected and analyzed with the use of descriptive and inferential statistics. RESULTS: A total of 102 opioids were prescribed to 89 patients; hydrocodone-acetaminophen combination products were the most frequently used. Opioid prescribing rates were 5 times greater when pharmacy services were not integrated (P <0.001); and dentists were 81% less likely to prescribe opioids when pharmacy was fully integrated (odds ratio 0.19, 95% confidence interval 0.124-0.293; P <0.001). Frequency of hydrocodone use compared with other opioids did not decrease after the rescheduling of hydrocodone to a Schedule II controlled substance. The frequency of prescribing errors was not statistically different between groups, although there were numerically fewer errors with integrated pharmacy services. CONCLUSION: The literature reports that dentists are the third most frequent prescribers of opioids. The findings from this study suggest that collaboration between pharmacists and dentists has the potential to decrease opioid utilization in primary dental practice.

Prescription Errors with Chemotherapy: Quality Improvement through Standardized Order Templates.

BACKGROUND: Despite the existence of established guidelines advocating the use and value of chemotherapy order templates, chemotherapy orders are still handwritten in many hospitals in Lebanon. This manuscript describes the implementation of standardized chemotherapy order templates (COT) in a Lebanese tertiary teaching hospital through multiple steps. INITIAL ASSESSMENT: An initial assessment was conducted through a retrospective appraisal of completeness of handwritten chemotherapy orders for 100 adult patients to serve as a baseline for the project and identify parameters that might afford improvement. CHOICE OF SOLUTION: Development of over 300 standardized pre-printed COTs based on the National Comprehensive Cancer Network templates and adapted to the practice culture and patient population. IMPLEMENTATION: The COTs were implemented, using Kotter's 8-step model for leading change, by engaging health care providers, and identifying and removing barriers. EVALUATION: Assessment of physicians' compliance with the new practice (122 orders assessed) was completed through two phases and allowed for the identification of areas of improvement. LESSONS LEARNED: Overall, COT implementation showed an average improvement in order completion from 49.5% (handwritten orders) to 77.6% (phase 1-COT) to 87.6% (phase 2-COT) reflecting an increase of 38.1% between baseline and phase 2 and demonstrating that chemotherapy orders completeness was improved by pre-printed COT. As many of the hospitals in Lebanon are moving towards standardized COTs and computerized physician order entry (CPOE) in the next few years, this study provides a prototype for the successful implementation of COT and demonstrates their role in promoting quality improvement of cancer care.

Design of the POINT study: Pharmacotherapy Optimisation through Integration of a Non-dispensing pharmacist in a primary care Team (POINT).

BACKGROUND: In the Netherlands, 5.6 % of acute hospital admissions are medication-related. Almost half of these admissions are potentially preventable. Reviewing medication in patients at risk in primary care might prevent these hospital admissions. At present, implementation of medication reviews in primary care is suboptimal: pharmacists lack access to patient information, pharmacists are short of clinical knowledge and skills, and working processes of pharmacists (focus on dispensing) and general practitioners (focus on clinical practice) match poorly. Integration of the pharmacist in the primary health care team might improve pharmaceutical care outcomes. The aim of this study is to evaluate the effect of integration of a non-dispensing pharmacist in general practice on the safety of pharmacotherapy in the Netherlands. METHODS: The POINT study is a non-randomised controlled intervention study with pre-post comparison in an integrated primary care setting. We compare three different models of pharmaceutical care provision in primary care: 1) a non-dispensing pharmacist as an integral member of a primary care team, 2) a pharmacist in a community pharmacy with a predefined training in performing medication reviews and 3) a pharmacist in a community pharmacy (care as usual). In all models, GPs remain accountable for individual medication prescription. In the first model, ten non-dispensing clinical pharmacists are posted in ten primary care practices (including 5 - 10 000 patients each) for a period of 15 months. These non-dispensing pharmacists perform patient consultations, including medication reviews, and share responsibility for the pharmaceutical care provided in the practice. The two other groups consist of ten primary care practices with collaborating pharmacists. The main outcome measurement is the number of medication-related hospital admissions during follow-up. Secondary outcome measurements are potential medication errors, drug burden index and costs. Parallel to this study, a qualitative study is conducted to evaluate the feasibility of introducing a NDP in general practice. DISCUSSION: As the POINT study is a large-scale intervention study, it should provide evidence as to whether integration of a non-dispensing clinical pharmacist in primary care will result in safer pharmacotherapy. The qualitative study also generates knowledge on the optimal implementation of this model in primary care. Results are expected in 2016. TRIAL REGISTRATION NUMBER: NTR4389 , The Netherlands National Trial Register, 07-01-2014.

Study CAMBIMED: Effects of changes in medication appearance on safety of antihypertensive and hypolipidemic treatments in chronic patients older than 65 years in primary health care.

BACKGROUND: Different studies have investigated the effects that changes in drug appearance have on the control of chronic diseases and drug safety. The main objective of the proposed study is to evaluate if changes in the appearance of the packaging and presentation of drugs having the same active ingredient are related to a decrease in adherence and an increase in usage errors for chronic treatment using antihypertensive (enalapril and amlodipine) and hypolipidemic agents (simvastatin) in patients ≥65 years old, over a one-year follow-up period. METHODS/DESIGN: We propose a multicentric observational longitudinal cohort study with a one-year follow-up period in 8 primary health care centers (PHCC) in the Community of Madrid. 259 patients who are ≥65 years old, hypertensive and/or dyslipidemic, undergoing treatment with enalapril and/or amlodipine and/or simvastatin, and under formal follow-up of chronic patients in primary health care will be selected by simple random sampling. The main outcome variable will be a final combined variable (adherence and medication usage errors). Other included variables will be: sociodemographic and clinical variables of the patient, degree of disease control, drug taken, number of changes in the appearance of each drug by the pharmacy, and the type and frequency of both avoidable and non-avoidable adverse effects during the follow-up period. A descriptive and a multivariate analysis of the variables will be carried out by means of a logistic regression model, using the final combined variable as the dependent variable (error and/or inadequate usage of the drug), and variables shown to be related to it during the bivariate analysis as the independent variables. DISCUSSION: For drugs of the same active ingredient, the effect that different package appearances and presentation may have on the safety of patients undergoing chronic treatments is unknown under the new legislative framework. There are various initiatives that promote the iso-appearance of drugs: "If they are the same, make them look the same". It is to be expected that older, multi-medicated patients with chronic pathologies will be the ones under a greater risk of suffering from this problem.

Medical error analysis in dermatology according to the reports of the North Rhine Medical Association from 2004-2013.

BACKGROUND: Patient safety is a central issue of health care provision. There are various approaches geared towards improving health care provision and patient safety. By conducting a systematic retrospective error analysis, the present article aims to identify the most common complaints brought forth within the field of dermatology over a period of ten years. METHODS: The reports of the Expert Committee for Medical Malpractice Claims of the North Rhine Medical Association (from 2004 to 2013) on dermatological procedures were analyzed (n =  247 reports in the field of dermatology). RESULTS: Expert medical assessments in the field of dermatology are most frequently commissioned for nonsurgical therapies (e.g. laser therapy, phototherapy). While suspected diagnostic errors constitute the second most common reason for complaints, presumed dermatosurgery-related errors represent the least common reason for commissioning expert medical assessments. CONCLUSIONS: The most common and easily avoidable sources of medical errors include failure to take a biopsy despite suspicious clinical findings, or incorrect clinicopathological correlations resulting in deleterious effects for the patient. Furthermore, given the potential for incorrect indications and the inadequate selection of devices to be used as well as their parameter settings, laser and phototherapies harbor an increased risk in the treatment of dermatological patients. The fourth major source of error leading to complaints relates to incorrect indications as well as incorrect dosage and administration of drugs. Analysis of expert medical assessment reports on treatment errors in dermatology as well as other medical specialties is helpful and provides an opportunity to identify common sources of error and error-prone structures.

Incidence of intravenous drug incompatibilities in intensive care units.

AIMS: Drug incompatibilities are relatively common in inpatients and this may result in increased morbidity/mortality as well as add to costs. The aim of this 12 month study was to identify real incidences of drug incompatibilities in intravenous lines in critically ill patients in two intensive care units (ICUs). METHODS: A prospective cross sectional study of 82 patients in 2 ICUs, one medical and one surgical in a 1500-bed university hospital. One monitor carried out observations during busy hours with frequent drug administration. Patients included in both ICUs were those receiving at least two different intravenous drugs. RESULTS: 6.82% and 2.16% of drug pairs were found to be incompatible in the two ICUs respectively. Among the most frequent incompatible drugs found were insulin, ranitidine and furosemide. CONCLUSIONS: The study showed that a significant number of drug incompatibilities occur in both medical and surgical ICUs. It follows that the incidence of incompatibilities could be diminished by adhering to a few simple rules for medication administration, following by recommendations for multiple lumen catheter use. Future prospective studies should demonstrate the effect of applying these policies in practice.

From adverse drug event detection to prevention. A novel clinical decision support framework for medication safety.

BACKGROUND: Errors related to medication seriously affect patient safety and the quality of healthcare. It has been widely argued that various types of such errors may be prevented by introducing Clinical Decision Support Systems (CDSSs) at the point of care. OBJECTIVES: Although significant research has been conducted in the field, still medication safety is a crucial issue, while few research outcomes are mature enough to be considered for use in actual clinical settings. In this paper, we present a clinical decision support framework targeting medication safety with major focus on adverse drug event (ADE) prevention. METHODS: The novelty of the framework lies in its design that approaches the problem holistically, i.e., starting from knowledge discovery to provide reliable numbers about ADEs per hospital or medical unit to describe their consequences and probable causes, and next employing the acquired knowledge for decision support services development and deployment. Major design features of the framework's services are: a) their adaptation to the context of care (i.e. patient characteristics, place of care, and significance of ADEs), and b) their straightforward integration in the healthcare information technologies (IT) infrastructure thanks to the adoption of a service-oriented architecture (SOA) and relevant standards. RESULTS: Our results illustrate the successful interoperability of the framework with two commercially available IT products, i.e., a Computerized Physician Order Entry (CPOE) and an Electronic Health Record (EHR) system, respectively, along with a Web prototype that is independent of existing healthcare IT products. The conducted clinical validation with domain experts and test cases illustrates that the impact of the framework is expected to be major, with respect to patient safety, and towards introducing the CDSS functionality in practical use. CONCLUSIONS: This study illustrates an important potential for the applicability of the presented framework in delivering contextualized decision support services at the point of care and for making a substantial contribution towards ADE prevention. Nonetheless, further research is required in order to quantitatively and thoroughly assess its impact in medication safety.