Medication-related Readmissions Research Articles

Developing indicators for medication-related readmissions based on a Delphi consensus study

BackgroundMedication-related readmissions challenge healthcare systems by burdening patients, increasing costs and straining resources. However, to date, there has been no consensus study on indicators for medication-related readmissions. ObjectivesThis Delphi study aimed to develop a consensus-based set of indicators for detecting patients at risk of medication-related readmission. MethodsAn expert panel of clinical pharmacists, physicians and nursing experts participated in a two-round Delphi study. In round 1, 31 indicators taken from the literature were rated for relevance on a scale from 1 to 9, with a median rating of 7 or higher suggesting relevance. The RAND/UCLA method was used to determine consensus. In round 2, indicators lacking consensus were re-rated together with a series of new indicators generated by the experts. Additional details were sought for some indicators. The main outcomes were the relevance of, consensus on, and completeness of the proposed indicators for identifying risks of 30-day medication-related readmission. ResultsThirty-eight experts participated in round 1. Consensus was found for all the indicators, with 25 included and 6 excluded. Thirty-four experts participated in round 2. Consensus was found for all 5 newly suggested indicators, and 4 were included. The expert panel prioritized the following indicators: (1) insufficient communication between different healthcare providers, (2) polypharmacy (≥7 medications), (3) low rates of medication adherence (twice-weekly mistakes or missing administration), (4) complex medication regimens (≥3 doses, ≥2 dosage forms and ≥2 administration routes per day), and (5) multimorbidity (≥3 chronic conditions). The final set comprised 29 indicators. ConclusionsThe indicator set developed for flagging potential medication-related readmissions could guide priorities for clinical pharmacy services at hospital discharge, improving patient outcomes and resource use. A validation study of these indicators is planned.

Risk factors for medication-related short-term readmissions in adults – a scoping review

BackgroundHospital readmissions due to medication-related problems occur frequently, burdening patients and caregivers emotionally and straining health care systems economically. In times of limited health care resources, interventions to mitigate the risk of medication-related readmissions should be prioritized to patients most likely to benefit. Focusing on general internal medicine patients, this scoping review aims to identify risk factors associated with drug-related 30-day hospital readmissions.MethodsWe began by searching the Medline, Embase, and CINAHL databases from their inception dates to May 17, 2022 for studies reporting risk factors for 30-day drug-related readmissions. We included all peer-reviewed studies, while excluding literature reviews, conference abstracts, proceeding papers, editorials, and expert opinions. We also conducted backward citation searches of the included articles. Within the final sample, we analyzed the types and frequencies of risk factors mentioned.ResultsAfter deduplication of the initial search results, 1159 titles and abstracts were screened for full-text adjudication. We read 101 full articles, of which we included 37. Thirteen more were collected via backward citation searches, resulting in a final sample of 50 articles. We identified five risk factor categories: (1) patient characteristics, (2) medication groups, (3) medication therapy problems, (4) adverse drug reactions, and (5) readmission diagnoses. The most commonly mentioned risk factors were polypharmacy, prescribing problems—especially underprescribing and suboptimal drug selection—and adherence issues. Medication groups associated with the highest risk of 30-day readmissions (mostly following adverse drug reactions) were antithrombotic agents, insulin, opioid analgesics, and diuretics. Preventable medication-related readmissions most often reflected prescribing problems and/or adherence issues.ConclusionsThis study’s findings will help care teams prioritize patients for interventions to reduce medication-related hospital readmissions, which should increase patient safety. Further research is needed to analyze surrogate social parameters for the most common drug-related factors and their predictive value regarding medication-related readmissions.

Identifying older adults at increased risk of medication-related readmission to hospital within 30 days of discharge: development and validation of a risk assessment tool

ObjectiveDeveloping and validating a risk assessment tool aiming to identify older adults (≥65 years) at increased risk of possibly medication-related readmission to hospital within 30 days of discharge.DesignRetrospective cohort study.SettingThe...

Effect of a Pharmacist-Led Discharge Counseling Service at a Children's Hospital.

To evaluate the effect of a pharmacist-led discharge counseling service at a pediatric hospital. This was a prospective observational cohort study. Patients in the pre-implementation phase were identified by the pharmacist at the time of admission medication reconciliation, whereas patients in the pos-timplementation phase were identified at the time of pharmacist discharge medication counselling. Caregivers were contacted within 2 weeks of the patients' discharge date to complete a 7-question telephone survey. The primary objective was to measure the effect of the pharmacist-led service on caregiver satisfaction, using a pre- and post- implementation telephone survey. The secondary objectives were to evaluate the effect of the service on 90-day medication-related readmissions and determine the change in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey response (Question 25) regarding discharge medications following implementation of the new service. A total of 32 caregivers were included in both the pre- and post-implementation groups. The most common reason for inclusion was high-risk medications (84%) in the pre-implementation group and device teaching (62.5%) in the post-implementation group. The primary outcome, the average composite score on the telephone survey, was 30.94 ± 3.50 (average ± SD) in the pre-implementation group and 32.5 ± 2.26 in the post-implementation group (p = 0.038). There were no medication-related readmissions within 90 days in either group. The score on HCAHPS Question 25 was not different between groups (p = 0.761). Implementation of a pharmacist-led discharge counseling service in pediatric patients improved caregiver satisfaction and understanding as shown by a postdischarge telephone survey.

Results of a Pilot Study for a Pharmacy Discharge Review in Neurosurgical Patients: A Quality-Safety Initiative.

Objective A multidisciplinary collaboration between the neurosurgical team and the pharmacy was established to conduct a pilot study in which discharged neurosurgical patients from a community hospital would receive medication reconciliation services and counseling by a pharmacy specialist to determine the impact on patient safety, readmission rates, and medication compliance. Methods Pharmacists reviewed discharge medication reconciliations of neurosurgical patients to address any discrepancies with the nurse practitioners or physicians prior to discharge and provided discharge medication counseling to the patient/families at the bedside. The service was provided on weekdays during the eight-hour pharmacist shiftin addition to other daily responsibilities. Data were analyzed by type and the total number of pharmacy interventions encountered during the discharge medication reconciliation process, time to complete services, and readmission rates. Lastly, the discharged neurosurgical patients that were not seen by pharmacists during the one-month pilot study were reviewed retrospectively to determine potential interventions. Results A total of 48 neurosurgical patients were discharged during the one-month pilot study; 27 patients received discharge medication reconciliation services and counseling from the pharmacy specialists. Sixty-three pharmacy interventions were accepted with prevention of medication errors/adverse drug reactions (21%, n=21) and addition of missing medication (21%, n=21) being the most common intervention types. The mean time to complete the services was 27 minutes and there was one non-medication-related readmission of the 27 patients seen. Twenty-one neurosurgical patients who were discharged without receiving services were reviewed retrospectively. It was determined that there was a potential for another 64 pharmacy interventions in which clarification of indication (33%, n=21) was the most common intervention type, followed by prevention of medication errors/adverse drug reactions (25%, n=16) and addition of missing medication (22%, n=14). There was a total of one medication-related readmission of the 21 patients not seen by the pharmacist during the pilot study. Conclusion The collaboration of pharmacists in the discharge process benefits neurosurgical patients by reducing the number of discrepancies when transitioning home and provides an additional layer of safety to reduce medication errors and/or prevent adverse events.

Medication-Related Readmissions: Documentation of the Medication Involved and Communication in the Care Continuum.

Background: Of all readmissions, 21% are medication-related readmissions (MRRs). However, it is unknown whether MRRs are recognized at the time of readmission and are communicated in the care continuum. Objectives: To identify the prevalence of MRRs that contain a documentation on the medication involved (and therefore are regarded as recognized), and the proportion of communicated MRRs. Setting: The study was performed in a teaching hospital. Methods: In a previous study, a multidisciplinary team of physicians and pharmacists assessed the medication-relatedness, the medication involved and preventability of unplanned readmissions from seven departments. In the current cross-sectional study, two pharmacy team members evaluated the patient records independently. An MRR was regarded as recognized when the medication involved was documented in patient records. An MRR was regarded as communicated to the patient and/or the next healthcare provider when the medication involved or a description was mentioned in discharge letters or discharge prescriptions. The relationship between documented MRRs and whether the MRR was preventable as well as the relationship between (un)documented MRRs and the length of stay (LOS) were assessed. Descriptive data analysis was used. Results: Of 181 included MRRs, 72 (40%) were deemed preventable by the multidisciplinary team. For 159 of 181 MRRs (88%), a documentation on the medication involved was present. Of 159 documented MRRs, 93 (58%) were communicated to patients and/or caregivers, 137 (86%) to the general practitioner, and 4 (3%) to the community pharmacy. The medication involved was documented less often for potentially preventable MRRs than for non-preventable MRRs (78 vs. 95%; p = 0.002). The LOS was longer for MRRs where the medication involved was undocumented (median 8 vs. 5 days; p = 0.062). Conclusion: The results of this study imply that MRRs are not always recognized, which could impact patients’ well-being. In this study an increased LOS was observed with unrecognized MRRs. Communication of MRRs to the patients and/or the next healthcare providers should be improved.

Is a High Medication Risk Score Associated With Increased Risk of 30-Day Readmission? A Population-Based Cohort Study From CROSS-TRACKS.

The primary aim of this study was to evaluate whether a high Medication Risk Score (MERIS) upon admission to an emergency department is associated with increased risk of 30-day readmission in patients discharged directly home. Mortality, visit to general practitioner, and drug changes within 30 days were included as secondary outcomes. This is a historical cohort study with data from the Danish population-based open-cohort CROSS-TRACKS. Cox regression analyses were used to determine whether a high MERIS score was associated with increased risk of 30-day readmission and mortality. Visit to general practitioner and drug changes were tested with χ2 test and Wilcoxon rank sum test. A total of 2106 patients were eligible: 2017 had a MERIS score lower than 14 (low-risk group), and 89 had a score of 14 or higher (high-risk group). The proportion of patients in the high-risk group who were readmitted was 21.3% compared with 16.3% in the low-risk group, resulting in a hazard ratio for readmission of 1.43 (95% confidence interval, 0.9-1.3). The hazard ratio for mortality was 8.3 (95% confidence interval, 3.0-22.8). No statistical significant difference was found in general practitioner visits; however, significantly more drug changes were observed in the high-risk group. A high MERIS score was associated with increased risk of readmissions and can potentially assist healthcare professionals in the prioritizing of patients who may benefit from further exam, for example, additional medication review in acute care setting. Further investigation of MERIS and exploration of causal inferences between medication-related harm and medication-related readmissions are warranted.

Identifying medication-related readmissions: Two students using tools vs a multidisciplinary panel.

Polypharmacy may result in medication-related readmissions (MRRs). Identifying MRRs is time consuming. Screening of readmissions by students could increase efficiency for healthcare professionals. Recently, two screening tools have been published: the Assessment Tool for identifying Hospital Admissions Related to Medications (AT-HARM10) tool and the Drug-Related Admission (DRA) adjudication guide. It is unknown whether pharmacy students could identify MRRs with these tools. To compare the agreement between two pharmacy students applying the AT-HARM10 tool and DRA adjudication guide in identifying MRRs vs a multidisciplinary panel. A retrospective study was conducted from February to July 2020 at OLVG hospital. Readmissions within 30days after discharge from seven departments were reviewed by a multidisciplinary panel (pharmacists and physicians). MRRs were defined as readmission where medication was the main cause or medication significantly contributed to the readmission. Two 5th year pharmacy-students volunteered to blindly apply both tools individually on all MRRs and a random sample of non-MRRs. The consensus results of the students and the multidisciplinary panel were compared and displayed as a percentage and Cohen's kappa (κ). Three hundred sixty-six readmission cases were selected in total, consisting of 181 MRRs and 185 non-MRRs. The agreement between the students using the AT-HARM10 tool vs the multidisciplinary panel was moderate (80%, κ=0.60 (95% confidence interval (CI): 0.52-0.68)). The DRA adjudication guide had a moderate agreement (81%, κ=0.62 (CI: 0.54-0.70)). Students misclassified MRRs mainly because the multidisciplinary panel found disease progression more profound than a contribution of medication. Two students have an overall agreement of 80% in comparison with the multidisciplinary panel with a moderate Cohen's kappa. Students are more often overestimated, but they may be a good option to preselect potential MRRs to save time for healthcare professionals. However, some MRRs will be missed.

Medication-related hospital readmissions within 30 days of discharge-A retrospective study of risk factors in older adults.

Previous studies have shown that approximately 20% of hospital readmissions can be medication-related and 70% of these readmissions are possibly preventable. This retrospective medical records study aimed to find risk factors associated with medication-related readmissions to hospital within 30 days of discharge in older adults (≥65 years). 30-day readmissions (n = 360) were assessed as being either possibly or unlikely medication-related after which selected variables were used to individually compare the two groups to a comparison group (n = 360). The aim was to find individual risk factors of possibly medication-related readmissions focusing on living arrangements, polypharmacy, potentially inappropriate medication therapy, and changes made to medication regimens at initial discharge. A total of 143 of the 360 readmissions (40%) were assessed as being possibly medication-related. Charlson Comorbidity Index (OR 1.15, 95%CI 1.5-1.25), excessive polypharmacy (OR 1.74, 95%CI 1.07-2.81), having adjustments made to medication dosages at initial discharge (OR 1.63, 95%CI 1.03-2.58) and living in your own home, alone, were variables identified as risk factors of such readmissions. Living in your own home, alone, increased the odds of a possibly medication-related readmission 1.69 times compared to living in your own home with someone (p-value 0.025) and 2.22 times compared to living in a nursing home (p-value 0.037). Possibly medication-related readmissions within 30 days of discharge, in patients 65 years and older, are common. The odds of such readmissions increase in comorbid, highly medicated patients living in their own home, alone, and if having medication dosages adjusted at initial discharge. These results indicate that care planning before discharge and the provision of help with, for example, managing medications after discharge, are factors especially important if aiming to reduce the amount of medication-related readmissions among this population. Further research is needed to confirm this hypothesis.

Medication-Related Hospital Readmissions Within 30 Days of Discharge: Prevalence, Preventability, Type of Medication Errors and Risk Factors.

Background: Hospital readmission rates are increasingly used as a measure of healthcare quality. Medicines are the most common therapeutic intervention but estimating the contribution of adverse drug events as a cause of readmissions is difficult. Objectives: To assess the prevalence and preventability of medication-related readmissions within 30 days after hospital discharge and to describe the risk factors, type of medication errors and types of medication involved in these preventable readmissions. Design: A cross-sectional observational study. Setting: The study took place across the cardiology, gastroenterology, internal medicine, neurology, psychiatry, pulmonology and general surgery departments in the OLVG teaching hospital, Netherlands. Participants: Patients with an unplanned readmission within 30 days after discharge from an earlier hospitalization (index hospitalization: IH) were reviewed. Measurements: The prevalence and preventability of medication-related readmissions were assessed by residents in multidisciplinary meetings. A senior internist and hospital pharmacist reassessed the prevalence and preventability of identified cases. Generalized estimating equation with logistic regression was performed to identify risk factors of potentially preventable medication-related readmissions. Results: Of 1,111 included readmissions, 181 (16%) were medication-related, of which 72 (40%) were potentially preventable. The number of medication changes at IH (Adjusted odds ratio [ORadj]: 1.14; 95% CI: 1.05–1.24) and having ≥3 hospitalizations 6 months before IH (ORadj: 2.11; 95% CI: 1.12–3.98) were risk factors of a preventable medication-related readmission. Of these preventable readmissions, 35% were due to prescribing errors, 35% by non-adherence and 30% by transition errors. Medications most frequently involved were diuretics and antidiabetics. Conclusion: This study shows that 16% of readmissions are medication-related, of which 40% are potentially preventable. If the results are confirmed in larger multicentre studies, this may indicate that more attention should be paid to medication-related harm in order to lower the overall readmission rates.

Pharmacy-led initiative for improving peri-operative medication reconciliation among bariatric surgical patients: what is the role?

Multiple medication changes are common after bariatric surgery, but pharmacist assistance in this setting is not well described. This study evaluated the feasibility and effectiveness of a pharmacy-led initiative for facilitating discharge medicine reconciliation after bariatric surgery. A standardized post-operative pharmacy consult evaluationwas conducted on bariatric surgery inpatients at a single academic center starting 1/2/2019. Retrospective chart review evaluated patient characteristics, medication changes, and 30-day outcomes pre-intervention (7/2018-12/2018) and post-intervention (1/2019-12/2019). Two-sample t tests or binomial tests were used for continuous or categorical variables, respectively; a p-value of < 0.05 was deemed statistically significant. A total of 353 patients were identified for study inclusion (n = 158 pre-intervention, n = 195 post-intervention) with a mean age of 45years, 87% female, and 71% sleeve gastrectomy. Overall pharmacy consultation compliance was 94% with 77.0% of home medication recommendations followed. Non-narcotic pain medication prescription use significantly increased (39% pre- vs. 54% post-intervention; p < 0.001). At discharge, the average number of changed or new medications significantly increased (3.7 ± 1.2 pre- vs. 4.2 ± 1.8 post-intervention; p = 0.003) while the average number of stopped medications was similar (1.2 ± 1.5 pre- vs. 1.5 ± 1.9 post-intervention; p = 0.09). Anti-hypertensive medications were decreased or stopped substantially more often with pharmacist input (44.7% pre- vs. 85.4% post-intervention; p < 0.001). Three medication-related readmissions happened pre-intervention with none post-intervention. Outpatient medication-related phone calls did considerably increase (31% pre- vs. 39% post-intervention; p = 0.04), while overall 30-day readmissions significantly decreased (7.6% pre- vs. 1.5% post-intervention; p = 0.04). Inpatient pharmacy consultation facilitated rapid alteration to more appropriate therapy for hypertension management and significantly increased use of non-narcotic pain medications upon discharge among bariatric surgery patients. Improved protocol adherence is anticipated with program maturity and patient education interventions will be deployed to address outpatient phone calls.

Patients' and providers' perspectives on medication relatedness and potential preventability of hospital readmissions within 30 days of discharge.

BackgroundHospital readmissions are increasingly used as an indicator of quality in health care. One potential risk factor of readmissions is polypharmacy. No studies have explored the patients’ perspectives on the medication relatedness and potential preventability of their readmissions.ObjectiveTo compare the patients’ perspectives on the medication relatedness and potential preventability of their readmissions with the providers’ perspectives.MethodsPatients unplanned readmitted within 30 days after discharge at one of the participating departments of OLVG Hospital in Amsterdam were interviewed during their readmission. Patients’ perspectives regarding medication relatedness of their readmissions, the potential preventability, possible preventable interventions, and satisfaction with medication information were examined. Health‐care providers also reviewed files of these readmitted patients. Primary outcome was the percentage of medication‐related and potentially preventable readmissions according to the patient vs the provider. Descriptive data analysis was used.ResultsAccording to patients, 36 of 172 (21%) readmissions were medication‐related, and of these, 21 (58%) were potentially preventable. According to providers, 26 (15%) readmissions were medication‐related and 6 (23%) of these were potentially preventable. Patients and providers agreed on the medication relatedness in 11 of the 172 readmissions, and in two of these, agreement on the potential preventability existed. According to patients, preventive interventions belonged mostly to the hospital level, followed by the primary care level and patient level.ConclusionPatients and providers differ substantially on their perspectives regarding the medication relatedness and preventability of readmissions. Patients were more likely to view medication‐related readmissions as preventable.

Interventions to address medication-related causes of hospital readmissions: A scoping review

Unplanned readmissions pose a tremendous burden on patients, providers, and payers. A significant proportion of readmissions are medication-related. Despite the availability of literature regarding hospital-level strategies to reduce readmissions, little has been written about strategies aimed at medication-related readmissions. We sought to identify successful readmission reduction strategies by performing a scoping literature review of research published between 2000 and 2017. We identified 21 studies that met our inclusion criteria. From these studies, we identified 7 components frequently employed as a part of interventions to reduce medication-related readmissions: discharge planning, discharge education, post-discharge telephone calls, the use of a professional coordinator with clinical training to administer the intervention, patient education efforts, provider training efforts, and medication reconciliation. Thirty-eight percent of all the interventions identified were associated with a statistically significant reduction in readmissions. Of the 7 common intervention components we identified, none were consistently associated with intervention success in the full sample. However, interventions implemented by inpatient hospitals, in particular academic medical centers, had a higher success rate than interventions implemented by other providers. We examined a subsample of larger studies and found that discharge planning and medication reconciliation components were included in most of the successful interventions. Future research should look beyond simply identifying components included in an intervention and should instead seek to identify contextual factors that enable or inhibit the success of these components. Research examining discharge planning and medication reconciliation efforts will be particularly important.

Effect of a medicines management model on medication-related readmissions in older patients admitted to a medical acute admission unit-A randomized controlled trial.

Medication-related problems are frequent and can lead to serious adverse events resulting in increased morbidity, mortality, and costs. Medication use in frail older patients is even more complex. The aim of this study was to investigate the effect of a pharmacist-led medicines management model among older patients at admission, during inpatient stay and at discharge on medication-related readmissions. A randomized controlled trial conducted at the acute admission unit in a Danish hospital with acutely admitted medical patients, randomized to either a control group or one of two intervention groups. The intervention consisted of pharmacist-led medication review and patient interview upon admission (intervention ED) or pharmacist-led medication review and patient interview upon admission, medication review during inpatient stay, and medication report and patient counselling at discharge (intervention STAY). In total, 600 patients were included. The pharmacist identified 920 medication-related problems with 57% of the recommendations accepted by the physician. After 30days, 25 patients had a medication-related readmission, with no statistical significant difference between the groups on either primary or secondary outcomes. This study showed that a clinical pharmacist can be used to identify and solve medication-related problems, but this study did not find any effect on the selected outcomes. The frequency of medication-related readmissions was low, leaving little room for improvement. Future research should consider other study designs or outcome measures.

Potentially preventable medication-related hospitalizations: A clinical pharmacist approach to assessment, categorization, and quality improvement

ObjectivesThe primary objective of this report is to describe a quality improvement practice designed to identify and categorize potentially preventable medication-related hospital admissions. The secondary objective is to present data collected from this practice and describe how it was used to improve a pharmacist intervention focused on reducing medication-related readmissions. SettingThis practice was developed as part of the quality improvement system supporting a pharmacist-led care transition model that was implemented across rural and urban counties in Hawaii. Practice descriptionPharmacists systematically assessed readmissions of the high-risk patients who were enrolled in the care transition model to determine the reasons for the admission and whether each was potentially preventable and medication related. This information was then used to improve the care transition model. Practice innovationThis admission categorization system is the first based on best practice in pharmaceutical care and identifies indication, effectiveness, safety, and adherence problems, as well as subcategories within each of those domains. EvaluationThis quality improvement practice was applied to 401 readmissions. A chi-square test was used to determine if there were differences between urban and more rural areas regarding percentage of readmissions that were potentially preventable and medication related. ResultsTwenty-six percent of the readmissions were determined to be potentially preventable and medication related. The most common categories were nonadherence due to patient choice (23.8%), untreated condition for which medication is indicated (13.3%), dose too high (10.5%), and dose too low (10.5%). The percentage of readmissions that were potentially preventable and medication related was significantly higher in more rural areas (30%) compared with urban areas (17%). There were no significant rural–urban differences by major category of potentially preventable medication-related admissions. ConclusionThis systematic and actionable approach to reviewing and categorizing potentially preventable medication-related admissions can facilitate improvement in care and document the value of pharmacists serving in patient care roles.

Evaluation of unplanned medication related readmissions within 28 days of discharge

Evaluation of unplanned medication related readmissions within 28 days of discharge

Clustering of elderly patient subgroups to identify medication-related readmission risks

IntroductionHigh Risk Medication Regimen (HRMR) scores are weakly predictive of hospital readmissions for elderly home health care patients. HRMR is composed of three elements related to drug risks: polypharmacy (number of medications); Potentially Inappropriate Medications (PIM) known to be harmful to the elderly; and the Medication Regimen Complexity Index (MRCI) that weighs drugs by the complexity of their dosing and instructions. In this paper, we hypothesized that HRMR scores are more predictive for demographic subgroups of elderly patients. The study used Outcome and Assessment Information Set (OASIS) variables to identify subgroups of patients for whom the HRMR measures appeared more predictive for hospital readmissions. MethodsOASIS and medication data were reused from a study of 911 patients (355 males, 556 females; mean age 78.9) from 15 Medicare-certified home health care agencies that established the relationship between HRMR and hospital readmissions. Hierarchical agglomerative clustering using the Jaccard distance measure and average-link method identified patient subgroups based on the OASIS data. Receiver operating curve (ROC) analyses evaluated the predictive strength of the HRMR variables for each subgroup. Additional False Discovery Rate (FDR) analyses assessed whether the clustered relationships were chance. ResultsClustering of OASIS data for 911 patients identified six subgroups: patients with Good Functional Status (n=382); Females with Moderate to Severe Pain (n=354); patients with poor prognosis needing functional status assistance (n=419); patients with Poor Functional Status (n=287); Males with Adult Children as Caregiver (n=198); adults living alone with spouses as primary caregiver (n=127). ROC results relating these subgroups to HRMR risks were strongest for Males with Adult Children as Caregivers (AUC: polypharmacy, 0.73; PIM, 0.64; MRCI, 0.77). The findings for this subgroup also met the FDR analysis threshold (<=0.20). ConclusionsA risk of medication-related readmissions in elderly men with adult children as caregivers is consistent with research showing problems in medication adherence when seniors are supported by informal caregivers. The results from clustering analysis present a hypothesis for research on HRMR and on the relationship between adult caregivers and their fathers.

Medication Regimen Complexity and Unplanned Hospital Readmissions in Older People.

Medication-related problems and adverse drug events are leading causes of preventable hospitalizations. Few previous studies have investigated the possible association between medication regimen complexity and unplanned rehospitalization. To investigate the association between discharge medication regimen complexity and unplanned rehospitalization over a 12-month period. The prospective study comprised patients aged ≥70 years old consecutively admitted to a Geriatrics Evaluation and Management (GEM) unit between October 2010 and December 2011. Medication regimen complexity at discharge was calculated using the 65-item validated Medication Regimen Complexity Index (MRCI). Cox proportional-hazards regression was used to compute unadjusted and adjusted hazard ratios (HRs) with 95% CIs for factors associated with rehospitalization over a 12-month follow-up period. Of 163 eligible patients, 99 patients had one or more unplanned hospital readmissions. When adjusting for age, sex, activities of daily living, depression, comorbidity, cognitive status, and discharge destination, MRCI (HR = 1.01; 95% CI = 0.81-1.26), number of discharge medications (HR = 1.01; 95% CI = 0.94-1.08), and polypharmacy (≥9 medications; HR = 1.12; 95% CI = 0.69-1.80) were not associated with rehospitalization. In patients discharged to nonhome settings, there was an association between rehospitalization and the number of discharge medications (HR = 1.12; 95% CI = 1.01-1.25) and polypharmacy (HR = 2.24; 95% CI = 1.02-4.94) but not between rehospitalization and MRCI (HR = 1.32; 95% CI = 0.98-1.78). Medication regimen complexity was not associated with unplanned hospital readmission in older people. However, in patients discharged to nonhome settings, the number of discharge medications and polypharmacy predicted rehospitalization. A patient's discharge destination is an important factor in unplanned medication-related readmissions.

Optimization of decision support tool using medication regimens to assess rehospitalization risks.

Unnecessary hospital readmissions are costly for the U.S. health care system. An automated algorithm was developed to target this problem and proven to predict elderly patients at greater risk of rehospitalization based on their medication regimens. Improve the algorithm for predicting elderly patients' risks for readmission by optimizing the sensitivity of its medication criteria. Outcome and Assessment Information Set (OASIS) and medication data were reused from a study that defined and tested an algorithm for assessing rehospitalization risks of 911 patients from 15 Medicare-certified home health care agencies. Odds Ratio analyses, literature reviews and clinical judgments were used to adjust the scoring of patients' High Risk Medication Regimens (HRMRs). Receiver Operating Characteristic (ROC) analysis evaluated whether these adjustments improved the predictive strength of the algorithm's components. HRMR scores are composed of polypharmacy (number of drugs), potentially inappropriate medications (PIM) (drugs risky to the elderly), and Medication Regimen Complexity Index (MRCI) (complex dose forms, dose frequency, instructions or administration). Strongest ROC results for the HRMR components were Areas Under the Curve (AUC) of .68 for polypharmacy when excluding supplements; and .60 for PIM and .69 for MRCI using the original HRMR criteria. The "cut point" identifying MRCI scores as indicative of medication-related readmission risk was increased from 20 to 33. The automated algorithm can predict elderly patients at risk of hospital readmissions and its underlying criteria is improved by a modification to its polypharmacy definition and MRCI cut point.

Impact of Pharmacist-Conducted Medication Reconciliation at Discharge on Readmissions of Elderly Patients With COPD

Beginning in fiscal year 2015, the Centers for Medicare and Medicaid Services will measure all-cause readmissions for patients admitted for exacerbation of chronic obstructive pulmonary disease (COPD). Hospitals will incur a payment penalty for unplanned 30-day readmissions. Elderly patients frequently present a challenge because of polypharmacy, which contributes to a greater risk for medication-related readmissions. To determine whether pharmacist-conducted medication reconciliation at discharge decreased medication discrepancies and reduced 30-day readmissions for elderly patients with COPD. Patients aged 65 years and older admitted for a COPD exacerbation between January 31, 2012, and February 29, 2012, were included. The pharmacist reviewed the discharge form for discrepancies. Patients who were readmitted within 30 days of discharge were identified. The rate of 30-day readmission was compared with baseline data. Length of stay and cost for admission versus readmission were also assessed. A total of 29 patients were admitted for a COPD exacerbation; 6 medication discrepancies were identified and reported to prescribers. Four patients were readmitted within 30 days of discharge. The 30-day readmission rate was lower than the baseline rate (16.0% vs 22.2%). When comparing admissions with readmissions, a slight reduction in average length of stay and slight increase in cost was observed. Pharmacist-conducted medication reconciliation at discharge decreased discrepancies for elderly patients admitted for exacerbation of COPD. The 30-day readmission rate could be decreased further by expanding pharmacist responsibilities during transitions of care. This includes patient counseling, tracking outpatient adherence, selecting affordable medications, and expanding the process to include other chronic disease states.