The EMITT study: development and evaluation of a medication information transfer tool

BACKGROUND: Continuity of care is required as patients move from the care of one pharmacist to another. The appropriate transfer of medication information between pharmacists as well as to patients at these times is essential in order to prevent drug-related problems (DRPs). OBJECTIVE: To develop a tool to transfer medication information between various pharmacists caring for the same patients. Secondary objectives were to evaluate the tool based on utility in practice and satisfaction of pharmacists. METHODS: The project consisted of a needs assessment involving in-depth interviews with patients and pharmacists and a literature review. These data were used to develop an optimal tool for medication information transfer between pharmacists in different practice settings. The tool was evaluated in a feasibility pilot for potential utility and pharmacist satisfaction. RESULTS: The tool created called EMITT (electronic medication information transfer tool) facilitates the communication of information to outpatient pharmacists including a letter and an up-to-date list of the patient's drugs. A total of 187 medication issues were communicated within 40 transferred letters, 61 of which required active follow-up, which potentially prevented 348 DRPs if the receiver of the information acted on the information that was provided. The 3 most common issues that required follow-up were restarting a held medication (n = 13), adjustment of doses based on laboratory results (n = 11), and starting a new indicated medication in the future (n = 7). CONCLUSIONS: A tool can be created to help address the gap in communication between pharmacists when patients move between interfaces of care by evaluating the needs of healthcare professionals involved in the information transfer process. It is envisioned that the elements of our tool can be easily adapted to other institutions to improve medication information transfer.     

Identification of medication-related attendances at an A & E department

BACKGROUND: The use of medication is the most common medical intervention, but it has associated risks. These have been described as drug-related problems (DRPs). Other non-UK studies have reported DRPs to be the cause of 3-16% of hospital admissions and around 4% of attendances at emergency departments. The size of the problem in the UK has not been quantified. AIM: The aim of this study was to identify the number of patients attending a central London accident and emergency (A & E) department with symptoms or conditions caused by DRPs. METHOD: A 2-week retrospective, case-review study was conducted in the A & E department of St Thomas' Hospital, London, during March 1999. DRPs were identified using recognized criteria. Statistical analysis identified patient characteristics which could be associated with the incidence of DRPs. The types of DRP and the drugs involved were identified. RESULTS: During the study period, 106 patients attended the A & E department with a DRP. This equates to 4% of the A & E population. During this period the demographics of the A & E attenders were no different to the annual A & E cohort. The most common DRPs were adverse drug reactions and overdose. The most frequently involved drugs included analgesics, antibiotics, those with narrow therapeutic indices and illegal drugs. The mean age of this patient group was 38 years (non-significant). They attended significantly more frequently during the early hours of the morning and on Saturdays than the A & E general population (chi-squared P = 0.004 and P = 0.003, respectively). DISCUSSION: The incidence of DRP as a cause of attendance at A & E reflects that in the literature. No statistical association with a specific age group of patients could be made, but the mean age of 38 years is younger than previously reported. The demographic differences which were statistically significant can be explained by the increased incidence of DRP associated with the use of illegal drugs than reported in other studies. Other drug groups identified by this study are representative of other reports. CONCLUSION: DRPs account for 4% of attendances at a central London A & E Department.     

The impact of medication therapy management in older oncology patients

Purpose

This project aimed to identify common drug-related problems (DRP) among elderly cancer patients, to determine the effectiveness of medication therapy management (MTM) service in resolving DRP, to determine the clinical significance of pharmacist interventions, and to determine patients’ satisfaction level of MTM service.

Method

Elderly cancer patients (age ≥65) who were at least on one chronic medication would be eligible for the MTM service. Any DRP that was detected would be recorded and steps to resolve it were taken. Pre- and post-service patient satisfaction surveys (PSS) were conducted before and after MTM. All interventions performed by MTM pharmacists were subjected to independent evaluation by a panel of three judges.

Results

One hundred eighteen patients received at least one session of MTM. We identified and attempted to resolve 361 DRPs, and the most common DRPs were drug interactions (117 cases, 32.4 %), adverse effects (114 cases, 31.6 %), and non-adherence (48 cases, 13.3 %). Forty-four interventions were performed by pharmacists and forty cases (91 %) were accepted by physicians. Almost two third of these interventions were deemed significant (or higher) by the judges. Seventy-two patients completed PSS. There was statistically significant improvement in patients’ satisfaction level after the service was provided.

Conclusion

MTM is an important platform in identifying and managing DRPs. Patients are generally satisfied with MTM services.     

Comparison of drug-related problems in different patient groups

BACKGROUND: There is a lack of knowledge concerning how drug-related problems (DRPs) vary in different patient groups. Possible dissimilarities need to be taken into consideration when guidelines for detecting and preventing DRPs are compiled. OBJECTIVE: To characterize and compare the frequency and categories of DRPs in different groups of hospitalized patients. METHODS: Patients admitted to 4 different types of departments at 5 hospitals in Norway were included consecutively. Medical records and information acquired at multidisciplinary morning meetings were sources for assessing the patients' DRPs. RESULTS: A total of 827 patients were included. Mean age was 70.8 years, 58.6% were female, and 81% had at least one DRP. An average of 1.9, 2.0, 2.1, and 2.3 DRPs per patient were found in the departments of cardiology, geriatrics, respiratory medicine, and rheumatology, respectively. Significant differences in the type of DRPs between the patient groups were found. The most frequent DRPs and the patient group in which they most often occurred were nonoptimal dose (cardiology, respiratory, geriatric) and need for additional drug (rheumatology). CONCLUSIONS: DRPs occurred in the majority of the patients in all departments. The type of DRP differed markedly between the patient groups. Knowledge of these differences is clinically valuable by enabling us to guide efforts toward prevention of DRPs. Antithrombotic agents, loop diuretics, angiotensin-converting enzyme inhibitors, penicillins, antiinflammatory drugs, and opioid analgesics commonly caused DRPs, even in departments where knowledge of these drugs is assumed to be extensive.     

Drug-related Problems in Home-dwelling Older Adults: A Systematic Review

PurposeThe complex combination of medicines associated with age-related physiological alterations leads older adults to experience drug-related problems (DRPs). The goal of this study was to review the frequency and type of DRPs and DRP risk factors in home-dwelling older adults.MethodsA MEDLINE PubMed and EMBASE scientific databases search was performed. Articles published from January 2000 through December 2018 reporting DRPs in home-dwelling older adults were included.FindingsFrom 668 articles screened, 13 met the inclusion criteria and were included in this study. Overall, the studies included 8935 home-dwelling patients. The mean number of DRPs per patient observed was 4.16 (1.37–10). The main causes of DRPs were “drug selection” (51.41%), “dose selection” (11.62%), and “patient related” (10.70%) problems. The drug classes more frequently associated with DRPs were “cardiovascular system,” “alimentary tract and metabolism,” and “nervous system,” and they represented 32.1%, 29.4%, and 16.5% of all drug selection problems, respectively. Respiratory system medicines accounted for 6.65% of all DRPs, of which “patient related” problems accounted for 97.28%.ImplicationsDespite the heterogeneity of methodology of the included studies and the heterogeneity of tools used to identify DRPs, this analysis clearly shows the high prevalence of DRPs in home-dwelling older adults and highlights the need for interventions to improve medicine use in this population. This work also provides useful information for the development of strategies to improve medication use in home-dwelling older adults.     

The contribution of patient interviews to the identification of drug‐related problems in home medication review

What is known and Objective: To determine to what extent patient interviews contribute to the identification of drug‐related problems (DRPs) in home medication reviews, in terms of number, type and clinical relevance. Methods: We performed a cross‐sectional study within the intervention arm of a randomized controlled trial. Patients were recruited from 10 Dutch community pharmacies. Patients were eligible if they were home‐dwelling, aged 65 years and over and used five or more different drugs, including at least one cardiovascular or antidiabetic drug. The community pharmacist interviewed the patient at home about the medicines and identified potential DRPs in combination with medication and clinical records. This medication review was assessed and modified by an independent pharmacist reviewers’ panel. Outcomes were the number and type of DRPs and recommendations and percentage of clinical relevant DRPs. Clinical relevance of DRPs was assessed by DRPs assigned a high priority, DRPs followed by recommendations for drug change and DRPs followed by implemented recommendations for drug change. Results: A total of 1565 potential DRPs and recommendations (10 per patient).were identified for 155 patients (median age, 76 years; 54% women). Fifty‐eight per cent of all recommendations involved a drug change; 27% of all DRPs were identified during patient interviews and 74% from medication and clinical records. Compared to DRPs identified from patient medication and clinical records, DRPs identified during patient interviews were more frequently assigned a high priority (OR = 1·8 [1·4–2·2]), were more frequently associated with recommendations for drug change (OR = 2·4 [1·9–3·1]) and were implemented recommendations for drug change (OR = 2·8 [2·1–3·7]). What is new and Conclusion: This study shows that more than a quarter of all DRPs were identified during patient interviews. DRPs identified during patient interviews were more frequently assigned a higher clinical relevance.     

Are interventions recommended by pharmacists during Home Medicines Review evidence‐based?

Introduction Over the past decade medication review services have been implemented in many countries, including Australia, UK and USA. Although, the attitudes and barriers to the implementation of evidence‐based medicine have been investigated, the extent to which medication review recommendations are evidence‐based is not known. Objective To determine (1) the extent to which pharmacist's recommendations during medication review services were consistent with the evidence‐based guides at the time of the review; and (2) the nature and extent of drug‐related problems (DRPs) and the actions recommended by pharmacists to resolve DRPs. Method A retrospective review of Home Medicines Review cases performed on 224 community‐dwelling older people (65 years or older). The chi‐squared test for categorical variables was used to compare the proportion of recommendations that were evidence‐based and recommendations for which no evidence could be identified in the most common Australian information sources. DRPs and the actions recommended to resolve the DRPs were classified according to previously employed criteria. Results Pharmacists made a total of 1114 therapeutic recommendations to general practitioners, of which 964 required supporting pharmacotherapeutic evidence. The majority (94%) of the pharmacists' recommendations were in accordance with the evidence‐based guides, as compared with the recommendations for which no evidence could be identified (P < 0.001). Pharmacists reported that 98% of the patients had at least one problem with use of their medication detected. Conclusion The majority of the actions recommended by pharmacists during the medication review process were consistent with the literature embedded in key Australian information sources. Medication management in older people is complex and challenging, as highlighted by the DRPs identified in 98% of our patients. A suitably trained pharmacist, with full access to the patient, medical record and supporting resources, can help to improve the quality use of medicines in this at‐risk population.     

Characteristics of unplanned hospital admissions due to drug-related problems in cancer patients

Background

Studies have examined drug-related problems (DRPs) that have led to hospital admissions in the general population. However, there is a lack of information on the characteristics of DRPs in the cancer population.

Objective

The objective of this study was to investigate the type, causality, severity, and preventability of DRPs that result in unplanned hospitalizations among cancer patients.

Methods

This was a prospective, cohort study conducted in two oncology wards between July and December 2012. All patients who were diagnosed with solid tumor or lymphoma and required unplanned hospitalization were included. The incidence of DRPs among hospital admissions was captured, and the nature of the DRPs (causality, severity, and preventability) was characterized.

Results

There were 1,299 admissions and 1,275 were eligible for analysis. Among the 1,275 eligible admissions, 158 (12.4 %) were considered to be associated with a DRP. In the 158 admissions associated with DRPs, 164 DRPs were found. The majority of the DRP-related admissions were adverse drug reactions (ADRs) (n?=?155/164, 94.5 %), probable (n?=?98, 59.8 %), moderately severe (n?=?155, 94.5 %), and probably or definitely preventable (n?=?86, 52.4 %). Most patients with DRPs recovered and were discharged. Febrile neutropenia was the most common adverse drug reaction, and drug combinations involving antihypertensives and long-term corticosteroids raised the risks for potential drug-drug interactions among patients with cancer.

Conclusion

The incidence of DRP-induced unplanned hospital admissions was 12.4 % among cancer patients. Approximately half of these were preventable events.     

Drug-related problem classification systems

OBJECTIVE: To provide an overview of and critically appraise classifications of drug-related problems (DRPs) for use during the pharmaceutical care process and research in pharmacy. DATA SOURCES: A literature search was conducted using MEDLINE and Yahoo (January 2003) and manually. The search terms included DRP, drug-related problem, drug-therapy problem, and medicine-related problem. STUDY SELECTION AND DATA EXTRACTION: English- and German-language articles on pharmaceutical care and DRPs were reviewed. DATA SYNTHESIS: Most classifications of DRPs were identified through searching publications on pharmaceutical care and DRPs. Fourteen classifications with different focuses were found. Some classifications were hierarchical, categorized into main groups and subgroups. Various terminologies and definitions for DRPs were revealed, as well as guidelines for an optimal DRP classification. Classifications were assessed according to a clear definition, published validation method, and results reflecting process and outcomes, usability in pharmaceutical care practice, and a hierarchical structure with main groups and subgroups. CONCLUSIONS: Finding DRP classifications by computerized search of the biomedical literature with the help of PubMed proved to be difficult. No classification could be found that met all of our criteria for an optimal system. Few classifications have been validated. Three have been tested as to their usability in practice and internal consistency. The Pharmaceutical Care Network Europe system Version 4 comes closest to the defined requirements.     

Inpatient medication reconciliation at admission and discharge: A retrospective cohort study of age and other risk factors for medication discrepancies

Background: Medication discrepancies are unintended differences between medication regimens (ie, between a patient's home regimen and medications prescribed on admission to the hospital).Objective: The goal of this study was to describe the incidence, drug classes, and probable importance of hospital admission medication discrepancies and discharge regimen differences, and to determine whether factors such as age and specific hospital services were associated with greater frequency of medication discrepancies and differences.Methods: This was a retrospective cohort study of a random sample of adult patients admitted to the general medicine, cardiology, or general surgery services of a tertiary care academic teaching hospital between July 1, 2006, and August 31, 2006. A chart review was performed to collect the following information: patient demographic characteristics, comorbid conditions, number of preadmission medications, discrepant medications identified by the hospital's reconciliation process, reasons for the discrepancies, and discharge medications that differed from the home regimen. Potentially high-risk discrepancies and differences were identified by determining if the medications were included on either the Institute for Safe Medication Practices high-alert list or the North Carolina Narrow Therapeutic Index list. Univariate and multivariate logistic regression analyses were used to identify factors associated with medication discrepancies and differences.Results: Of the 205 patients (mean age, 59.9 years; 116 men, 89 women; 60% white) included in the study, 27 did not have any medications recorded on admission. Of the 178 patients who did have medications listed, 41 had ≥1 discrepancy identified by the reconciliation process on admission (23%; 95% CI, 17–29); 19% (95% CI, 11–31) of these medications were considered to be potentially high risk. In the multivariate logistic regression model, age (odds ratio [OR] per 5-year increase = 1.16; 95% CI, 1.01–1.33; P = 0.035), presence of high-risk medications on admission (OR = 76.68; 95% CI, 9.13–643.76; P < 0.001), and general surgery service (OR = 3.31; 95% CI, 1.40–7.87; P < 0.007) were associated with a higher proportion of patients with discrepancies on admission. At discharge, 196 patients (96% [95% CI, 93<98]) had ≥1 medication change from their home regimen, with 1102 total differences for 205 patients. Less than half (44% [95% CI, 37–51]) of these patients were explicitly alerted at discharge to new medications or dose changes; 12% (95% CI, 7–18) were given written instructions to stop taking discontinued home medications. Cardiovascular drugs were the most frequent class involved at both admission (31%) and discharge (27%) in medication discrepancies or differences.Conclusions: Medication discrepancies on admission and medication differences at discharge were prevalent for adult patients admitted to the general medicine, cardiology, and general surgery services in this academic teaching hospital. Medication reconciliation processes have a high potential to identify clinically important discrepancies for all patients.     

Pharmacy data identify poorly adherent patients with schizophrenia at increased risk for admission

BACKGROUND: Health care organizations may be able to use pharmacy data to identify patients with schizophrenia and poor antipsychotic adherence. OBJECTIVE: To determine whether a pharmacy-based measure of outpatient adherence, the medication possession ratio (MPR), is associated with adverse outcomes among patients with schizophrenia, as evidenced by increased psychiatric admission. RESEARCH DESIGN: Cohort study linking pharmacy and utilization data for veterans with schizophrenia. MPRs were calculated by dividing the number of days' supply of antipsychotic medication the veteran had received by the number of days' supply they needed to receive to take their antipsychotic continuously. Using multivariate regression, the relationship between MPRs and psychiatric admission was examined. SUBJECTS: Sixty-seven thousand seventy-nine veterans who received a diagnosis of schizophrenia and had outpatient antipsychotic medication fills between October 1, 1998 and September 30, 1999. RESULTS: Patients with MPRs close to 1.0 had the lowest rates of admission. As patients secured progressively smaller proportions of required antipsychotic medication (and had smaller MPRs), rates of admission climbed. Among patients on one antipsychotic (n = 49,003), patients with poor adherence (MPRs < 0.8) were 2.4 times as likely to be admitted as patients with good adherence (MPRs from 0.8-1.1). 23% of poorly adherent patients but only 10% of adherent patients were admitted. Once admitted, poorly adherent patients had more hospital days. Patients who received excess medication also had higher admission rates. CONCLUSIONS: Many health care systems may be able to use pharmacy data to identify poorly adherent patients with schizophrenia. These patients are at-risk for admission and may benefit from intervention.     

The potential for intelligent decision support systems to improve the quality and consistency of medication reviews

What is known and Objective: Drug‐related problems (DRPs) are of serious concern worldwide, particularly for the elderly who often take many medications simultaneously. Medication reviews have been demonstrated to improve medication usage, leading to reductions in DRPs and potential savings in healthcare costs. However, medication reviews are not always of a consistently high standard, and there is often room for improvement in the quality of their findings. Our aim was to produce computerized intelligent decision support software that can improve the consistency and quality of medication review reports, by helping to ensure that DRPs relevant to a patient are overlooked less frequently. A system that largely achieved this goal was previously published, but refinements have been made. This paper examines the results of both the earlier and newer systems. Methods: Two prototype multiple‐classification ripple‐down rules medication review systems were built, the second being a refinement of the first. Each of the systems was trained incrementally using a human medication review expert. The resultant knowledge bases were analysed and compared, showing factors such as accuracy, time taken to train, and potential errors avoided. Results and Discussion: The two systems performed well, achieving accuracies of approximately 80% and 90%, after being trained on only a small number of cases (126 and 244 cases, respectively). Through analysis of the available data, it was estimated that without the system intervening, the expert training the first prototype would have missed approximately 36% of potentially relevant DRPs, and the second 43%. However, the system appeared to prevent the majority of these potential expert errors by correctly identifying the DRPs for them, leaving only an estimated 8% error rate for the first expert and 4% for the second. What is new and conclusion: These intelligent decision support systems have shown a clear potential to substantially improve the quality and consistency of medication reviews, which should in turn translate into improved medication usage if they were implemented into routine use.     

Discrepancies between home medications listed at hospital admission and reported medical conditions

Background: One of the Joint Commission on Accreditation of Healthcare Organization's National Patient Safety Goals is for hospitals to accurately and completely reconcile patients' medications. Unfortunately, medication histories in charts might bc inaccurate and incomplete. In a thorough medication history, each medication should match a particular reported medical condition. The use of medications without a clear reported indication is of particular concern and has bccn associated with inappropriate use and polypharmacy.Objectives: The purposes of this study were to evaluate the occurrence of discrepancies between home medications listed in hospital admission notes and patients' reported medical conditions and to describe the types of medications most often identified as not having a corresponding indication.Methods: In this retrospective observational study, data were included from adult patients (≥18 years of age) who were receiving ≥3 home medications on admission to medical wards at a university hospital during a 6-month period. Each home medication listed in the admission note, together with any preadmission paperwork, was matched with an indication listed in the note. Medications were deemed unspecified if an indicated disease state or condition for the medication was not reported.Results: Data from 121 patients were included. The majority (91.7%) of the patients were admitted to an internal medicine service. Eighty-four patients (69.4%) had ≥1 unspecified medication listed in the admission note. Patients with ≥1 unspecified home medication reported taking a signifcantly higher number of home medications (10.2 [4.5] vs 7.5 [3.5] in those without unspecified medications; P = 0.007). Thirty-two patients (26.4%) were receiving proton pump inhibitors or histamine type 2 antagonists without a reported indication. Seventeen patients (14.0%) were receiving selective scrotonin rcuptakc inhibitors without a reported indication.Conclusions: Nearly 70% of patients admitted to a medical ward had ≥1 unspecified medication listed in the admission note. Based on these results, health care professionals must bc careful to obtain and document complete medication histories with matching indications.