Approaches to Optimize Medication Data Analysis in Clinical Cohort Studies.

OBJECTIVES: Methods for pharmacoepidemiologic studies of large-scale data repositories are established. Although clinical cohorts of older adults often contain critical information to advance our understanding of medication risk and benefit, the methods best suited to manage medication data in these samples are sometimes unclear and their degree of validation unknown. We sought to provide researchers, in the context of a clinical cohort study of delirium in older adults, with guidance on the methodological tools to use data from clinical cohorts to better understand medication risk factors and outcomes. DESIGN: Prospective cohort study. SETTING: The Successful Aging After Elective Surgery (SAGES) prospective cohort. PARTICIPANTS: A total of 560 older adults (aged ≥70 years) without dementia undergoing elective major surgery. MEASUREMENTS: Using the SAGES clinical cohort, methods used to characterize medications were identified, reviewed, analyzed, and distinguished by appropriateness and degree of validation for characterizing pharmacoepidemiologic data in smaller clinical data sets. RESULTS: Medication coding is essential; the American Hospital Formulary System, most often used in the United States, is not preferred over others. Use of equivalent dosing scales (e.g., morphine equivalents) for a single medication class (e.g., opioids) is preferred over multiclass analgesic equivalency scales. Medication aggregation from the same class (e.g., benzodiazepines) is well established; the optimal prevalence breakout for aggregation remains unclear. Validated scale(s) to combine structurally dissimilar medications (e.g., anticholinergics) should be used with caution; a lack of consensus exists regarding the optimal scale. Directed acyclic graph(s) are an accepted method to conceptualize causative frameworks when identifying potential confounders. Modeling-based strategies should be used with evidence-based, a priori variable-selection strategies. CONCLUSION: As highlighted in the SAGES cohort, the methods used to classify and analyze medication data in clinically rich cohort studies vary in the rigor by which they have been developed and validated.

Conversion from paper to electronic acute care chemotherapy orders.

PURPOSE: UNC Medical Center converted to an electronic health record (EHR) in 2014. This conversion allowed for the transition of paper chemotherapy orders to be managed electronically. This article describes the process for converting inpatient paper chemotherapy orders into the new EHR in a safe and effective manner. SUMMARY: A collaborative interdisciplinary approach to the EHR transition enabled our organization to move from using paper chemotherapy orders to fully electronic chemotherapy treatment plans in both ambulatory and acute care areas. Active chemotherapy orders for acute care inpatients were reviewed and transcribed by two oncology pharmacists in the cancer hospital prior to being signed by an attending physician. The newly input orders were independently verified by two pharmacists in the cancer hospital inpatient pharmacy. Nurse review of the signed and verified treatment plans, along with reconciliation of the medication administration record ensured a safe transition to the new EHR workflow. Providers benefit from the ability to review treatment plans remotely, track changes, and include supportive medications in one consolidated location. The coordinated team effort allowed for a smooth transition with minimal interruptions to patient care. CONCLUSION: The pharmacist-led, multidisciplinary conversion to electronic chemotherapy orders was safe, accurate, and occurred ahead of schedule for the EHR go-live. Advance communication and planning around scheduled inpatient admissions helped to minimize the impact of the transition from paper to electronic treatment plans. Both pharmacist and physician engagement were necessary to ensure a smooth transition for active inpatient treatment plans.

Impact of a specialist mental health pharmacy team on medicines optimisation in primary care for patients on a severe mental illness register: a pilot study.

Objective: Medication arrangements for patients with severe mental illness (SMI), including schizophrenia and bipolar disorder, can be complex. Some have shared care between primary and secondary services while others have little specialist input. This study investigated the contribution a specialist mental health clinical pharmacy team could make to medicines optimisation for patients on the SMI register in primary care. Research shows that specialist mental health pharmacists improve care in inpatient settings. However, little is known about their potential impact in primary care. Method: Five general practice surgeries were allocated half a day per week of a specialist pharmacist and technician for 12 months. The technician reviewed primary and secondary care records for discrepancies. Records were audited for high-dose or multiple antipsychotics, physical health monitoring and adherence. Issues were referred to the pharmacist for review. Surgery staff were encouraged to refer psychotropic medication queries to the team. Interventions were recorded and graded. Results: 316/472 patients on the SMI register were prescribed antipsychotics or mood stabilisers. 23 (7%) records were updated with missing clozapine and depot information. Interventions by the pharmacist included clarifying discharge information (12/104), reviewing high-dose and multiple antipsychotic prescribing (18/104), correcting errors (10/104), investigating adherence issues (16/104), following up missing health checks (22/104) and answering queries from surgery staff (23/104). Five out of six interventions possibly preventing hospital admission were for referral of non-adherent patients. Conclusion: The pharmacy team found a variety of issues including incomplete medicines reconciliation, adherence issues, poor communication, drug errors and the need for specialist advice. The expertise of the team enabled timely resolution of issues and bridges were built between primary and secondary care.

Improving patient safety through a pharmacist-led medication reconciliation programme in nursing homes for the elderly in Spain.

Background Medication errors frequently occur during transitions of care and may have damaging consequences, especially amongst the elderly. Some studies show that quality improvement initiatives with a focus on medication reconciliation have resulted in better health outcomes and a reduced number of readmissions. Objective The primary objective of this study was to quantify and classify medication reconciliation errors detected by a pharmacist and taking place during transitions of care between nursing homes and the health system. Secondary objectives were to assess the relation between error frequency and polypharmacy or between error frequency and the transition type and to describe the medication concerned by this error. Setting Five elderly nursing homes of the health care area in Ferrol (Spain) between January 2013 and December 2017 Method A prospective descriptive study on medication discrepancies found during pharmacist's medication reconciliation. This was performed at first admission and after every transition of care upon the patient's return to the nursing home. Interventions were categorized according to the consensus terminology. Main outcome measure Number and type of medication errors, percentage of transitions of care and percentage of patients who suffered at least one reconciliation error were measured. Results At least one medication error was found in 16% of the 2123 studied care transitions, summing up 417 reconciliation errors in 273/981 patients (28%). Wrong dosing (48%) and medication omissions (31%) were the most frequently detected errors. High-risk medication was involved in 40% of the cases. A positive association between polypharmacy (≥ 5 chronic medications) and the frequency of reconciliation errors was found. On the other hand, different transition types did not show a difference in error frequency. Conclusion Reconciliation errors were found in almost 30% of our patients. Unlike other studies, visits to outpatient specialist clinics were included as another type of healthcare transition, encompassing an important percentage of reconciliation errors. The pharmacist helped to reduce these errors in a particularly fragile population such as institutionalized patients.

Polypharmacy in older patients: identifying the need for support by a community pharmacist.

BACKGROUND: The community pharmacist is a key player in medication reviews of older outpatients. However, it is not always clear which individuals require a medication review. The objective of the present study was to identify high-priority older patients for intervention by a community pharmacist. METHODS: As part of their final-year placement in a community pharmacy, pharmacy students conducted 10 interviews each with older adults (aged 65 or over) taking at least five medications daily. The student interviewer also offered to examine the patient's home medicine cabinet. An interview guide was developed by an expert group to assess the difficulties in managing and taking medications encountered by older patients. RESULTS: The 141 students interviewed a total of 1370 patients (mean age: 81.5; mean number of medications taken daily: 9.3). Of the 1370 interviews, 743 (54.2%) were performed in the patient's home, and thus also included an examination of the home medicine cabinet. Adverse events were reported by 566 (42.0%) patients. A total of 378 patients (27.6%) reported difficulties in preparing, administering and/or swallowing medications. The inspections of medicine cabinets identified a variety of shortcomings: poorly located cabinets (in 15.0% of inspections), medication storage problems (21.7%), expired medications (40.7%), potentially inappropriate medications (15.0%), several different generic versions of the same drug (19.9%), and redundant medications (20.4%). CONCLUSIONS: In a community pharmacy setting, high-priority older patients for intervention by a community pharmacist can be identified by asking simple questions about difficulties in managing, administering, taking or storing medications.

Impact of training and structured medication review on medication appropriateness and patient-related outcomes in nursing homes: results from the interventional study InTherAKT.

BACKGROUND: Uncoordinated interprofessional communication in nursing homes increases the risk of polypharmacy and inappropriate medication use. This may lead to augmented frequency of adverse drug events, hospitalizations and mortality. The aims of this study were (1) to improve interprofessional communication and medication safety using a combined intervention and thus, (2) to improve medication appropriateness and health-related outcomes of the included residents. METHODS: The single-arm interventional study (2014-2017) was conducted in Muenster, Germany and involved healthcare professionals and residents of nursing homes. The intervention consisted of systematic education of participating healthcare professionals and of a structured interprofessional medication review which was performed via an online communication platform. The primary endpoint was assessed using the Medication Appropriateness Index MAI. Secondary endpoints were: cognitive performance, delirium, agitation, mobility, number of drugs, number of severe drug-drug interactions and appropriateness of analgesics. Outcomes were measured before, during and after the intervention. Data were analyzed using descriptive and inference-statistical methods. RESULTS: Fourteen general practitioners, 11 pharmacists, 9 nursing homes and 120 residents (n = 83 at all testing times) participated. Overall MAI sum-score decreased significantly over time (mean reduction: -7.1, CI95% -11.4 - - 2.8; median = - 3.0; dCohen = 0.39), especially in cases with baseline sum-score ≥ 24 points (mean reduction: -17.4, CI95% -27.6 - - 7.2; median = - 15.0; dCohen = 0.86). MAI sum-score of analgesics also decreased (dCohen = 0.45). Mean number of severe drug-drug interactions rose slightly over time (dCohen = 0.17). The proportion of residents showing agitated behavior diminished from 83.9 to 67.8%. Remaining secondary outcomes were without substantial change. CONCLUSION: Medication appropriateness increased particularly in residents with high baseline MAI sum-scores. Cognitive decline of participating residents was seemingly decelerated when compared with epidemiologic studies. A controlled trial is required to confirm these effects. Interprofessional interaction was structured and performance of medication reviews was facilitated as the online communication platform provided unlimited and consistent access to all relevant and updated information. TRIAL REGISTRATION: DRKS Data Management, ID: DRKS00007900 , date of registration: 2015-09-02 (retrospectively registered i.e. 6 weeks after commencement of the first data collection).

The Daniel K. Inouye College of Pharmacy Scripts: Improving the Accuracy of Patient Medication Lists: Performing Medication Reconciliation by Phone Prior to Appointments.

The purpose of this project was to utilize pharmacists and pharmacy students to perform comprehensive medication reconciliation by telephone prior to a patient's office visit with their primary care physician, to address any medication issues. The project's aims were to decrease polypharmacy, improve the accuracy of medication reconciliation, and to allow more time for the physician to meet with the patient. Patients were called prior to appointment and a thorough medication reconciliation was conducted including verification of current prescription medications, over-the-counter medications, and herbal supplements. A total of 21 patients were enrolled in the study, and in 36% of patients, the number of medications decreased after the intervention. However, overall, the average number of medications used by patients increased from an average of 8.9 to 9.5 medications (P = .39). All patients included in the study had at least one medication change in the electronic medical record system. Most of the changes were to add medications that were not on the medication list or to remove medications on the list that the patient was no longer taking. This study demonstrated improved accuracy with pharmacist/pharmacy student involvement in the medication reconciliation process.

Medications and patient safety in the trauma setting: a systematic review.

Background: Medication errors account for the most common adverse events and a significant cause of mortality in the USA. The Joint Commission has required medication reconciliation since 2006. We aimed to survey the literature and determine the challenges and effectiveness of medication reconciliation in the trauma patient population. Materials and methods: We conducted a systematic review of the literature to determine the effectiveness of medication reconciliation in trauma patients. English language articles were retrieved from PubMed/Medline, CINAHL, and Cochrane Review databases with search terms "trauma OR injury, AND medication reconciliation OR med rec OR med rek, AND effectiveness OR errors OR intervention OR improvements." Results: The search resulted in 82 articles. After screening for relevance and duplicates, the 43 remaining were further reviewed, and only four articles, which presented results on medication reconciliation in 3041 trauma patients, were included. Two were retrospective and two were prospective. Two showed only 4% accuracy at time of admission with 48% of medication reconciliations having at least one medication discrepancy. There were major differences across the studies prohibiting comparative statistical analysis. Conclusions: Trauma medication reconciliation is important because of the potential for adverse outcomes given the emergent nature of the illness. The few articles published at this time on medication reconciliation in trauma suggest poor accuracy. Numerous strategies have been implemented in general medicine to improve its accuracy, but these have not yet been studied in trauma. This topic is an important but unrecognized area of research in this field.

Medication reconciliation and review for older emergency patients requires improvement in Finland.

BACKGROUND: 10-30% of hospital stays by older patients are drug-related. The admission phase is important for identifying drug-related problems, but taking an incorrect medication history often leads to medication errors. OBJECTIVES: To enhance medication history recording and identify drug-related problems (DRPs) of older patients admitted to emergency departments (EDs). METHODS: DRPs were identified by pharmacists-led medication reconciliation and review procedures in two EDs in Finland; Helsinki University Hospital (HUS), and Kuopio University Hospital (KUH). One-hundred-and-fifty patients aged ≥65-years, living at home and using ≥6 medicines were studied. RESULTS: 100% of patients (N = 75) in HUS and 99% in KUH (N = 75), had discrepancies in their admission-medication chart recorded by the nurse or physician. Associations between admission-diagnosis and drug-related problems were found in 12 patients (16%) in HUS and 22 patients (29%) in KUH. Of these, high-alert medications (e.g. antithrombotics, cytostatics, opioids) were linked to eight patients (11%) in HUS and six patients (8%) in KUH. Other acute DRPs were identified in 19 patients (25%) in HUS and 54 patients (72%) in KUH. Furthermore, 67 patients (89%) in HUS and all patients in KUH had non-acute DRPs. CONCLUSIONS: Medication reconciliation and review at admission of older ED patients requires improvement in Finland.

Evaluation of Targeted Pharmacist Interventions to Reduce Length of Stay in an Acute Care Practice Model.

BACKGROUND: Despite widespread recognition of the need for innovative pharmacy practice approaches, the development and implementation of value-based outcomes remains difficult to achieve. Furthermore, gaps in the literature persist because the majority of available literature is retrospective in nature and describes only the clinical impact of pharmacists' interventions. OBJECTIVE: Length of stay (LOS) is a clinical outcome metric used to represent efficiency in health care. The objective of this study was to evaluate the impact of pharmacist-driven interventions on LOS in the acute care setting. METHODS: A separate samples pretest-posttest design was utilized to compare the effect of pharmacist interventions across 3 practice areas (medicine, hematology/oncology, and pediatrics). Two time periods were evaluated: preimplementation (PRE) and a pilot period, postimplementation of interventions (POST). Interventions included targeted discharge services, such as discharge prescription writing (with provider cosignature). Participating pharmacists completed semistructured interviews following the pilot. RESULTS: A total of 924 patients (466 PRE and 458 POST) were included in the analysis. The median LOS decreased from 4.95 (interquartile range = 3.24-8.5) to 4.12 (2.21-7.96) days from the PRE versus POST groups, respectively ( P < 0.011). There was no difference in readmission rates between groups (21% vs 19.1%, P = 0.7). Interviews revealed several themes, including positive impact on professional development. Conclusion and Relevance: This pilot study demonstrated the ability of pharmacist interventions to reduce LOS. Pharmacists identified time as the primary barrier and acknowledged the importance of leaders prioritizing pharmacists' responsibilities. This study is novel in targeting LOS, providing a value-based outcome for clinical pharmacy services.

Prospective Validation of a Risk Prediction Model to Identify High-Risk Patients for Medication Errors at Hospital Admission.

BACKGROUND: Pharmacy-led medication reconciliation in elective surgery patients is often performed at the preoperative screening (POS). Because of the time lag between POS and admission, changes in medication may lead to medication errors at admission (MEAs). In a previous study, a risk prediction model for MEA was developed. OBJECTIVE: To validate this risk prediction model to identify patients at risk for MEAs in a university hospital setting. METHODS: The risk prediction model was derived from a cohort of a Dutch general hospital and validated within a comparable cohort from a Dutch University Medical Centre. MEAs were assessed by comparing the POS medication list with the reconciled medication list at hospital admission. This was considered the gold standard. For every patient, a risk score using the risk prediction model was calculated and compared with the gold standard. The risk prediction model was assessed with receiver operating characteristic (ROC) analysis. RESULTS: Of 368 included patients, 167 (45.4%) had at least 1 MEA. ROC analysis revealed significant differences in the area under the curve of 0.535 ( P = 0.26; validation cohort) versus 0.752 ( P < 0.0001; derivation cohort). The sensitivity in this validating cohort was 66%, with a specificity of 40%. Conclusion and Relevance: The risk prediction model developed in a general hospital population is not suitable to identify patients at risk for MEA in a university hospital population. However, number of medications is a common risk factor in both patient populations and should, thus, form the basis of an adapted risk prediction model.

The scope of drug-related problems in the home care setting.

Introduction While drug-related problems (DRPs) in the inpatient setting are well known, the scope of these problems in home care has not been critically evaluated. Aim of the Review Our primary objective was to evaluate the incidence and demographics of DRPs in home care. Our specific aims were to characterize the rate of potentially inappropriate medications (PIMs), medication errors (MEs) and adverse drug events (ADEs) and to identify risk factors which contribute to DRPs in the home care setting. Methods Pubmed, Embase and CiNAHL databases were systematically searched from January 2000 to December 2016 for all publications which quantitatively characterized DRPs in the home care setting. Results The most commonly reported DRPs characterized in studies were PIMs (n = 16), MEs (n = 4) and the ME-subcategory medication-related discrepancies (n = 7). The frequency of PIMs ranged from 19.8 to 48.4%; up to 26% PIMs were considered severe. Polypharmacy (≥ 9 drugs) and increasing age were the most common risk factors for DRPs. Insufficient interdisciplinary teamwork and inconsistent performance of medication reviews were also risks factors for DRPs. Patients and/or caregivers were responsible for 42.3% of DRPs. Discussion Compared with acute inpatient care, DRPs are more frequently reported in home care. The rate of DRPs varies depending upon the reference used to define the problem. Conclusion Transfer of complete medical records and the use of an interdisciplinary team have the potential to reduce DRPs, including MEs, specifically when integrating a pharmacist providing regular medication review. Importantly, patients and informal caregivers must be significant partners with this interdisciplinary team.

Healthcare professionals' agreement on clinical relevance of drug-related problems among elderly patients.

Background Disagreement among healthcare professionals on the clinical relevance of drug-related problems can lead to suboptimal treatment and increased healthcare costs. Elderly patients with chronic non-cancer pain and comorbidity are at increased risk of drug related problems compared to other patient groups due to complex medication regimes and transition of care. Objective To investigate the agreement among healthcare professionals on their classification of clinical relevance of drug-related problems in elderly patients with chronic non-cancer pain and comorbidity. Setting Multidisciplinary Pain Centre, Rigshospitalet, Copenhagen, Denmark. Method A pharmacist performed medication review on elderly patients with chronic non-cancer pain and comorbidity, identified their drug-related problems and classified these problems in accordance with an existing categorization system. A five-member clinical panel rated the drug-related problems' clinical relevance in accordance with a five-level rating scale, and their agreement was compared using Fleiss' κ. Main outcome measure Healthcare professionals' agreement on clinical relevance of drug related problems, using Fleiss' κ. Results Thirty patients were included in the study. A total of 162 drug related problems were identified, out of which 54% were of lower clinical relevance (level 0-2) and 46% of higher clinical relevance (level 3-4). Only slight agreement (κ = 0.12) was found between the panellists' classifications of clinical relevance using a five-level rating scale. Conclusion The clinical pharmacist identified drug related problems of lower and higher clinical relevance. Poor overall agreement on the severity of the drug related problems was found among the panelists.

Intervention to improve the appropriate use of polypharmacy for older patients with hip fractures: an observational study.

BACKGROUND: Polypharmacy is frequently observed in hip fracture patients. Although it is associated with an increased risk of hip fracture, polypharmacy often continues after hip fracture recovery. This study aimed to evaluate the effectiveness of an intervention to improve appropriate polypharmacy for elderly patients admitted to the hospital for hip fractures. METHODS: We conducted a retrospective observational study to compare the outcomes of patients receiving the intervention (n = 32) with those of patients who received usual care (n = 132). All hip fracture patients aged 65 years or older and prescribed 5 or more medications at admission from January 2015 to December 2016 were included in the study. The intervention consisted of an assessment by internal medicine physicians of the appropriateness of polypharmacy and the de-prescription of any unnecessary medications during the patients' hospital stay. The primary composite outcome was death or the first occurrence of any new fracture. Comparisons between the intervention and usual care groups were analyzed using binary logistic regression. RESULTS: A total of 164 patients were included in the study. The mean patient age was 84.8 years, and the mean numbers of prescribed medications and potentially inappropriate medications at admission were 8.0 and 1.3, respectively. The mean follow-up period was 8.0 months. The primary composite outcome occurred in 35 (21.3%) patients. The total number of potentially inappropriate medications at discharge was significantly lower in the intervention group than in the usual care group (0.8 ± 0.8 for the intervention group vs 1.1 ± 1.0 for the usual care group; p = 0.03). However, no significant differences in the primary composite outcome were found between the intervention and usual care groups (7 in the intervention group and 28 in the usual care group, odds ratio 1.04, 95% CI 0.41-2.65; p = 1.00). CONCLUSIONS: The intervention to improve appropriate polypharmacy was associated with a reduction in potentially inappropriate medications but not an improvement in clinical outcomes. This intervention, which focused only on polypharmacy, may not effectively improve outcomes for elderly patients with hip fractures. TRIAL REGISTRATION: UMIN-CTR UMIN000025495 . Retrospectively registered 2 January 2017.

Medication regimen complexity and prevalence of potentially inappropriate medicines in older patients after hospitalisation.

Background There is a relative paucity of information to characterise potential changes in medication regimen complexity and prevalence of prescribing of potentially inappropriate medications after hospitalisation, both in Australia and elsewhere. Objective To evaluate medication regimen complexity and the prevalence of potentially inappropriate medications before and after admission to hospital. Setting General medical units of a tertiary care hospital in Australia. Methods Retrospective cohort study of patients aged 65 years and above. Medication complexity was measured by using the Medication Regimen Complexity Index (MRCI). Main outcome measure The primary outcome was the change in the Medication Regimen Complexity Index for all prescribed medications after hospitalization. Results A convenience sample of 100 patients was included in the study. There was a significant change in the mean medication complexity score (as measured using the MRCI), increasing from 29 at the time of admission to 32 at the time of discharge (p < 0.05). Factors such as baseline medication regimen complexity (pre-admission MRCI) and length of stay in the hospitals appear to influence the change in medication complexity. However, the proportion of patients prescribed at least one potentially inappropriate medicine (PIM) decreased significantly, from 52% pre-hospitalization to 42% at discharge (p = 0.04). Conclusions Relative to the time of admission, overall medication complexity increased and the proportion of patients who were prescribed PIMs decreased after hospitalisation.

High Prevalence of Medication Discrepancies Between Home Health Referrals and Centers for Medicare and Medicaid Services Home Health Certification and Plan of Care and Their Potential to Affect Safety of Vulnerable Elderly Adults.

OBJECTIVES: To describe the prevalence of discrepancies between medication lists that referring providers and home healthcare (HH) nurses create. DESIGN: The active medication list from the hospital at time of HH initiation was compared with the HH agency's plan of care medication list. An electronic algorithm was developed to compare the two lists for discrepancies. SETTING: Single large hospital and HH agency in the western United States. PARTICIPANTS: Individuals referred for HH from the hospital in 2012 (N = 770, 96.3% male, median age 71). MEASUREMENTS: Prevalence was calculated for discrepancies, including medications missing from one list or the other and differences in dose, frequency, or route for medications contained on both lists. RESULTS: Participants had multiple medical problems (median 16 active problems) and were taking a median of 15 medications (range 1-93). Every participant had at least one discrepancy; 90.1% of HH lists were missing at least one medication that the referring provider had prescribed, 92.1% of HH lists contained medications not on the referring provider's list, 89.8% contained medication naming errors. 71.0% contained dosing discrepancies, and 76.3% contained frequency discrepancies. CONCLUSION: Discrepancies between HH and referring provider lists are common. Future work is needed to address possible safety and care coordination implications of discrepancies in this highly complex population.

Medication Reconciliation in Oncological Patients: A Randomized Clinical Trial.

BACKGROUND: Medication reconciliation is considered to be an important strategy for increasing the safety of medication use. However, few studies have been carried out showing the effect of a medication reconciliation program on the incidence of reconciliation errors (REs) in oncological patients treated in the outpatient setting. OBJECTIVE: To measure the effect of a medication reconciliation program on the incidence of reconciliation error that reached the patient (RERP) in cancer patients receiving chemotherapy as outpatients. METHODS: A randomized, prospective, controlled study was carried out to identify the proportion of patients with at least 1 RERP. Medication reconciliation (intervention group) was compared with standard practice (control group) in patients starting new chemotherapy and who were receiving at least 1 home medication before the start of chemotherapy. A prespecified analysis of factors capable of influencing the occurrence of RE in oncological patients was also carried out. RESULTS: A total of 147 patients were included (76 in the intervention group and 71 controls) in this study. There were 3 (4%) patients with RERP (primary endpoint) in the intervention group and 21 (30%) patients in the control group (relative risk [RR] = 0.13, 95% CI = 0.04-0.43; P = 0.0009). The prespecified analysis of the effects of the Eastern Cooperative Oncology Group performance status (ECOG), Charlson Comorbidity Index score, and degree of poly-medication upon the number of patients with RE showed the Charlson Comorbidity Index to be unrelated to RE occurrence. However, the risk of RE was greater in patients with ECOG ≥ 2 (RR = 2.18, 95% CI = 1.4-3.4; P = 0.018) and among patients with major poly-medication (RR = 2.49, 95% CI = 1.52-4.09; P <0.001). CONCLUSIONS: Medication reconciliation results in a marked decrease in RERP in cancer patients. The factors that may influence RE occurrence in oncological patients have not been fully established, although parameters such as the degree of poly-medication and performance status may play a role. DISCLOSURES: No outside funding supported this study. The authors declare that they have no affiliations with or financial interests in any company, product, or service described in the manuscript. Study concept and design were contributed by Sierra-Sánchez, Martínez-Bautista, Baena-Cañada, and González-Carrascosa Vega. Martínez-Bautista, García-Martín, Suárez-Carrascosa, and González-Carrascosa Vega collected the data, which was interpreted by Sierra-Sánchez, Martínez-Bautista, Baena-Cañada, and González-Carrascosa Vega. The manuscript was written by Sierra-Sánchez and González-Carrascosa Vega and revised by Sierra-Sánchez, Martínez-Bautista, Baena-Cañada, and González-Carrascosa Vega.