Assessing multilevel barriers to hydroxyurea adherence in youth with sickle cell disease using pharmacy-based refill records

BACKGROUND

Suboptimal medication adherence is common across youth with chronic health conditions and may contribute to health disparities and adverse health outcomes, especially in underserved communities.

METHODS

Using pharmacy prescription records and guided by the World Health Organization Multidimensional Adherence Model, we examined patient-, treatment-, and health system-related factors that may affect hydroxyurea adherence in 72 youth with sickle cell disease (SCD), 10-18 years who had participated in the multisite "Hydroxyurea Adherence for Personal Best in SCD" (HABIT) feasibility (6 months) and efficacy (12 months) trials. Pharmacy data were collected from the year prior to study entry through the duration of each trial. We also examined hydroxyurea dose at baseline, prescribing patterns (hydroxyurea formulation and dose prescribed), quantity of hydroxyurea dispensed, and number of daily capsules/tablets prescribed. Data were analyzed using descriptive statistics.

RESULTS

On average, youth were prescribed 1095 ± 402 mg hydroxyurea per day, requiring ingestion of 3 or more capsules for 39.4% of youth. Frequently identified potential barriers were complex medication regimens in which dose of hydroxyurea differed by day of week (47.2%); receipt of an inadequate (< 30 days) supply of hydroxyurea from the pharmacy ≥ 3 times during record collection period (29.2%); and prescription of hydroxyurea suspension suggesting problems swallowing capsules (22.2%). In this sample, most youth were exclusively prescribed 500 mg capsules (62.5%), which was associated with complex medication regimens (RR 3.0, 95% CI 1.4-6.7). Potential barriers were common, occurred at all levels and are potentially modifiable with targeted interventions at the treatment- and health system-related levels.

Cross-sectional study to evaluate patients' medication management with a new model of care: incorporating a pharmacist into a community specialist palliative care telehealth service

BACKGROUND

Patients receiving palliative care are often on complex medication regimes to manage their symptoms and comorbidities and at high risk of medication-related problems. The aim of this cross-sectional study was to evaluate the involvement of a pharmacist to an existing community specialist palliative care telehealth service on patients' medication management.

METHOD

The specialist palliative care pharmacist attended two palliative care telehealth sessions per week over a six-month period (October 2020 to March 2021). Attendance was allocated based on funding received. Data collected from the medication management reviews included prevalence of polypharmacy, number of inappropriate medication according to the Screening Tool of Older Persons Prescriptions in Frail adults with limited life expectancy criteria (STOPP/FRAIL) and recommendations on deprescribing, symptom control and medication management.

RESULTS

In total 95 patients participated in the pharmaceutical telehealth service with a mean age of 75.2 years (SD 10.67). Whilst 81 (85.3%) patients had a cancer diagnosis, 14 (14.7%) had a non-cancer diagnosis. At referral, 84 (88.4%, SD 4.57) patients were taking ≥ 5 medications with 51 (53.7%, SD 5.03) taking ≥ 10 medications. According to STOPP/FRAIL criteria, 142 potentially inappropriate medications were taken by 54 (56.8%) patients, with a mean of 2.6 (SD 1.16) inappropriate medications per person. Overall, 142 recommendations were accepted from the pharmaceutical medication management review including 49 (34.5%) related to deprescribing, 20 (14.0%) to medication-related problems, 35 (24.7%) to symptom management and 38 (26.8%) to medication administration.

CONCLUSION

This study provided evidence regarding the value of including a pharmacist in palliative care telehealth services. Input from the pharmacist resulted in improved symptom management of community palliative care patients and their overall medication management.

Factors Associated with Hyperpolypharmacy and Complex Medication Regimens in Kidney Transplant Recipients

Background: Kidney transplantation is considered the best modality for renal replacement therapy. The use of immunosuppressive therapy and pre-existing and newly developed comorbidities predispose these patients to the use of a large number of medications. (Hyper)polypharmacy is associated with worse adherence and negative outcomes. This study aims to explore the factors correlated with hyperpolypharmacy and complex medication regimens in kidney transplant recipients. Methods: This is a cross-sectional study of outpatient kidney transplant recipients. Collected data include demographic data, complete chronic medication lists, medical history, and graft function. Linear and logistic regression were used to identify factors associated with hyperpolypharmacy and complex medication regimens. Medication regimen complexity was quantified by the Medication Regimen Complexity Index (MRCI). Results: Overall, 224 kidney transplant recipients were included, with an average time since transplantation of 8 years. Hyperpolypharmacy was present in more than two-thirds of patients; the average number of different medications was 12; and the mean MRCI score was 21.4, ranging from 6 to 50. Hypertension was almost universally present, while other frequently prescribed medication groups were hypolipemics, medication for bone-mineral metabolism disorders, gout, and antihyperglycemics. Conclusions: Factors independently associated with hyperpolypharmacy and complex medication regimens were found to be age and graft function. Studies investigating interventions aimed at reducing medication complexity and increasing adherence should focus on older patients with worse graft function.

Persistence in the Methadone Maintenance Program and Its Relationship with the Medication Regimen Complexity Index in Opioid-Dependent Patients

It has been shown that the Medication Regimen Complexity Index (MRCI) is a useful and reliable tool for calculating the complexity of the pharmacotherapeutic regimen (CPR). Furthermore, a high MRCI is associated with lower adherence. However, the MRCI of opioid-dependent patients (ODP) has not been studied. The aim of this study is to calculate the Methadone Maintenance Program (MMP) persistence and the MRCI score in a ODP cohort. Second, to analyze its relationship and association with other variables. To accomplish this research, an observational study including adults with a confirmed diagnosis of opiate-dependency according to the DSM-5 in a MMP center was carried out. To define MMP-persistence, a group was created by the researchers who defined five weighted items according to their agreed importance. Our first contribution was to create a new definition of MMP-persistence. This study also identified age, comorbidities, and received methadone maintenance doses as successful predictors for MMP-persistence. We have also shown that the MRCI does not seem to be a useful tool to determine MMP-persistence, probably because there are multiple factors that influence it in addition to the CPR. It is necessary to continue searching for more precise selection and stratification tools for ODP to improve their persistence.

Development of oral oncolytic nonadherence estimator (ORACLE): A pretreatment nonadherence risk assessment for oral oncolytics

INTRODUCTION

To date, there is no adherence estimator to identify risk of nonadherence prior to initiating oral oncolytics.

METHODS

A workgroup was assembled through the National Community Oncology Dispensing Association and tasked with creating a tool to meet this need. Tool constructs were defined after a review of the literature identifying top barriers to adherence. A second literature search was conducted to identify questions targeting specific barriers from validated adherence questionnaires. Once a finalized draft was complete, the risk assessment tool was built into an electronic survey where a risk category can be automatically calculated for the patient.

RESULTS

The six most impactful factors affecting compliance to oral oncolytics were identified as patient's confidence, health literacy, perception of treatment, quality of life, social support, and complexity of chemotherapy regimen. A six-item questionnaire was created with five patient-directed questions and one clinician-directed question. Examples and descriptions were provided for clinicians to consider when categorizing complexity of a regimen. The tool was designed for responses to each question to be indexed into categories through a 10-point system. Results will be stratified into low, moderate, or high risk for nonadherence.

CONCLUSION

The creation of a tool to predict nonadherence prior to starting therapy is an unmet need for patients initiating oral oncolytics. The aim of this tool is to meet those needs and better guide clinicians to provide patients with strategies to better manage nonadherence. Next steps include tool validation and piloting in clinical practice.

[Cardiovascular pharmacotherapy in old age]

Cardiovascular diseases are the most frequent cause of disability and death. Evidence-based pharmacotherapy is the basis for successful treatment of common diseases, such as hypertension, heart failure, coronary artery disease, and atrial fibrillation. The proportion of older people with several diseases (multimorbidity) who need five or more drugs daily (polypharmacy) is steadily increasing. Evidence on the efficacy and safety of drugs in these patients is, however, limited because they are often excluded or underrepresented in clinical trials. In addition, clinical guidelines mostly focus on single diseases and only occasionally deal with the challenges in the pharmacotherapy of older multimorbid patients with polypharmacy. This article describes the options and special features of pharmacotherapy for hypertension, chronic heart failure and dyslipidemia, as well as antithrombotic treatment in (very) old people.

Implications of the medication regimen complexity index score on hospital readmissions in elderly patients with heart failure: a retrospective cohort study

BACKGROUND

The likelihood of elderly patients with heart failure (HF) being readmitted to the hospital is higher if they have a higher medication regimen complexity index (MRCI) compared to those with a lower MRCI. The objective of this study was to investigate whether there is a correlation between the MRCI score and the frequency of hospital readmissions (30-day, 90-day, and 1-year) among elderly patients with HF.

METHODS

In this single-center retrospective cohort study, MRCI scores were calculated using a well-established tool. Patients were categorized into high (≥ 15) or low (< 15) MRCI score groups. The primary outcome examined the association between MRCI scores and 30-day hospital readmission rates. Secondary outcomes included the relationships between MRCI scores and 90-day readmission, one-year readmission, and mortality rates. Multivariate logistic regression was employed to assess the 30- and 90-day readmission rates, while Kaplan-Meier analysis was utilized to plot mortality.

RESULTS

A total of 150 patients were included. The mean MRCI score for all patients was 33.43. 90% of patients had a high score. There was no link between a high MCRI score and a high 30-day readmission rate (OR 1.02; 95% CI 0.99-1.05; p < 0.13). A high MCRI score was associated with an initial significant increase in the 90-day readmission rate (odd ratio, 1.03; 95% CI, 1.00-1.07; p < 0.022), but not after adjusting for independent factors (odd ratio, 0.99; 95% CI, 0.95-1.03; p < 0.487). There was no significant difference between high and low MRCI scores in their one-year readmission rate.

CONCLUSION

The study's results indicate that there is no correlation between a higher MRCI score and the rates of hospital readmission or mortality among elderly patients with HF. Therefore, it can be concluded that the medication regimen complexity index does not appear to be a significant predictor of hospital readmission or mortality in this population.

Formulary & benefit and real-time pharmacy Benefit: Electronic standards delivering value to prescribers and pharmacists

The use of standard transactions in the electronic sharing of prescription-related information among payers, prescribers and pharmacists aids in the delivery of effective, safe, and affordable medication therapy to patients. Integral to electronic medication management (eMM) in this environment is the availability of data to aid in the determination of the most appropriate medication for a patient considering benefits coverage restrictions, therapeutic effectiveness, and cost. Key elements of this formulary decision support are the National Council for Prescription Drug Programs Formulary & Benefit (F&B) standard and the related Real-time Pharmacy Benefit (RTPB) standard. In this article, we review the foundational role of F&B in the electronic prescribing of medications, the value it delivers to prescribers, and dispensing pharmacists. The combination of F&B and RTPB to enhance the quality of information available in eMM is also discussed with evidence presented on how these standards help to minimize manual tasks and rework in the pharmacy, optimize time to therapy, lower patient out-of-pocket costs, and result in the dispensing of prescriptions less likely to be abandoned. We conclude with a view of the future of F&B to support new eMM requirements.

Medication regimen complexity and its impact on medication adherence and asthma control among patients with asthma in Ethiopian referral hospitals

BACKGROUND

Various studies have found that medication adherence is generally low among patients with asthma, and that the complexity of the regimen may be a potential factor. However, there is no information on the complexity of the regimen and its relationship to adherence and asthma outcomes in Ethiopian asthma patients. Therefore, this study assessed how complex medication regimens affected medication adherence and asthma control in patients with asthma.

METHOD

From February 1 to May 30, 2022, a multicenter cross-sectional study was conducted in three public referral hospitals in northwestern Ethiopia. The Medication Complexity Index (MRCI), a 65-item validated instrument, was used to represent the complexity of medication regimens The Medication Adherence Rating Scale for Asthma (MARS-A) was used to assess medication adherence, and the ACT was used to measure the level of asthma control. The association between predictor and outcome variables was determined using multivariable logistic regression analysis. P-values of < 0.05 were declared as a significant association.

RESULT

Patients with asthma (n = 396) who met the inclusion criteria were included in the final analysis. About 21.2% and 24.5% of the participants had high asthma-specific MRCI and patient-level MRCI, respectively. The majority (84.4%) of the participants did not adhere to their medication, and 71% of the participants were classified as having uncontrolled asthma. According to the result of the multivariable analysis, moving from a high asthma-specific MRCI to a moderate asthma MRCI enhances the likelihood of medication adherence by 2.51 times (AOR = 2.51, 95%CI: (1.27, 7.71). Likewise, patients who have low asthma MRCI were four times more likely to adhere to the medication compared with high asthma MRCI (AOR = 3.80, 95%CI: (2.0, 11.1). Similarly, patients having low patient-level MRCI were eight times more likely their asthma level had been controlled (AOR = 7.84, 95%CI: 1.46 to 21.3) and patients who had moderate patient-level MRCI were three times (AOR = 2.83, 95%CI: 1.05 to 8.25) more controlled asthma compared with patients who had high patient level MRCI.

CONCLUSION

The majority of asthma patients had low and moderate complexity of MRCI. Patients with low and moderate regimen complexity demonstrated high adherence and had well-controlled asthma. Therefore, future researchers should consider MRCI as one factor for adherence and asthma control levels.

HIOPP-6 – a pilot study on the evaluation of an electronic tool to assess and reduce the complexity of drug treatment considering patients’ views

Background

A complex drug treatment might pose a barrier to safe and reliable drug administration for patients. Therefore, a novel tool automatically analyzes structured medication data for factors possibly contributing to complexity and subsequently personalizes the results by evaluating the relevance of each identified factor for the patient by means of key questions. Hence, tailor-made optimization measures can be proposed.

Methods

In this controlled, prospective, exploratory trial the tool was evaluated with nine general practitioners (GP) in three study groups: In the two intervention groups the tool was applied in a version with (G_{I_with}) and a version without (G_{I_without}) integrated key questions for the personalization of the analysis, while the control group (G_C) did not use any tools (routine care). Four to eight weeks after application of the tool, the benefits of the optimization measures to reduce or mitigate complexity of drug treatment were evaluated from the patient perspective.

Results

A total of 126 patients regularly using more than five drugs could be included for analysis. GP suggested 117 optimization measures in G_{I_with}, 83 in G_{I_without}, and 2 in G_C. Patients in G_{I_with} were more likely to rate an optimization measure as helpful than patients in G_{I_without} (IRR: 3.5; 95% CI: 1.2—10.3). Thereby, the number of optimization measures recommended by the GP had no significant influence (P = 0.167).

Conclusions

The study suggests that an automated analysis considering patient perspectives results in more helpful optimization measures than an automated analysis alone – a result which should be further assessed in confirmatory studies.

Trial registration

The trial was registered retrospectively at the German Clinical Trials register under DRKS-ID DRKS00025257 (17/05/2021).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01757-0.

Medication regimen complexity index and rehabilitation outcomes in post-acute hip fracture patients study: a retrospective study

BACKGROUND

Polypharmacy is a common problem amongst the elderly population. The complexity of the drug regimen refers not only to a simple medication count, but also to the number of daily doses, frequency, and special instructions given for their use. Medication regimen complexity may affect health outcomes, including an increase in hospitalization rates, drug non-adherence, and mortality rates.

AIM

To assess whether the admission medication regimen complexity index score is associated with rehabilitation outcomes in hip fracture patients; secondary- to assess whether changes in the medication regimen complexity index scores during rehabilitation are associated with rehabilitation outcomes.

METHOD

A retrospective study of 336 hip fracture patients admitted to a post-acute rehabilitation hospital. Primary rehabilitation outcome was assessed via the discharge functional independence measure score. Secondary outcomes included functional independence measure score changes, length of stay and discharge destination.

RESULTS

Patients with low admission medication regimen complexity index scores attained significantly higher admission and discharge motor functional independence measure scores (40.1 vs. 37.1, p = 0.044; 57.1 vs. 52.9, p = 0.014, respectively), a higher motor functional independence measure score effectiveness (36.1 vs. 31.3, p = 0.030) and a higher rate of favorable motor functional independence measure effectiveness score (58.1% vs. 42.0%, p = 0.004). A multiple linear regression analysis revealed that the admission medication regimen complexity index score was not associated with the discharge functional independence measure score (standardized coefficient = - 0.058; p = 0.079).

CONCLUSION

A high medication regimen complexity which usually implies severe comorbidity should not be considered a barrier for the rehabilitation of older patients.

Evaluating the Medication Regimen Complexity Score as a Predictor of Clinical Outcomes in the Critically Ill

Background: Medication Regimen Complexity (MRC) refers to the combination of medication classes, dosages, and frequencies. The objective of this study was to examine the relationship between the scores of different MRC tools and the clinical outcomes. Methods: We conducted a retrospective cohort study at Roger William Medical Center, Providence, Rhode Island, which included 317 adult patients admitted to the intensive care unit (ICU) between 1 February 2020 and 30 August 2020. MRC was assessed using the MRC Index (MRCI) and MRC for the Intensive Care Unit (MRC-ICU). A multivariable logistic regression model was used to identify associations among MRC scores, clinical outcomes, and a logistic classifier to predict clinical outcomes. Results: Higher MRC scores were associated with increased mortality, a longer ICU length of stay (LOS), and the need for mechanical ventilation (MV). MRC-ICU scores at 24 h were significantly (p < 0.001) associated with increased ICU mortality, LOS, and MV, with ORs of 1.12 (95% CI: 1.06−1.19), 1.17 (1.1−1.24), and 1.21 (1.14−1.29), respectively. Mortality prediction was similar using both scoring tools (AUC: 0.88 [0.75−0.97] vs. 0.88 [0.76−0.97]. The model with 15 medication classes outperformed others in predicting the ICU LOS and the need for MV with AUCs of 0.82 (0.71−0.93) and 0.87 (0.77−0.96), respectively. Conclusion: Our results demonstrated that both MRC scores were associated with poorer clinical outcomes. The incorporation of MRC scores in real-time therapeutic decision making can aid clinicians to prescribe safer alternatives.

Clinical Utility of Medication-Based Risk Scores to Reduce Polypharmacy and Potentially Avoidable Healthcare Utilization

The management of multiple chronic health conditions often requires patients to be exposed to polypharmacy to improve their health and enhance their quality of life. However, exposure to polypharmacy has been associated with an increased risk for adverse effects, drug-drug interactions, inappropriate prescribing, medication nonadherence, increased healthcare utilization such as emergency department visits and hospitalizations, and costs. Medication-based risk scores have been utilized to identify patients who may benefit from deprescribing interventions and reduce rates of inappropriate prescribing. These risk scores may also be utilized to prompt targeted discussions between patients and providers regarding medications or medication classes contributing to an individual’s risk for harm, eventually leading to the deprescribing of the offending medication(s). This opinion will describe existing medication-based risk scores in the literature, their utility in identifying patients at risk for specific adverse events, and how they may be incorporated in healthcare settings to reduce rates of potentially inappropriate polypharmacy and avoidable healthcare utilization and costs.

Prevalence and patient-rated relevance of complexity factors in medication regimens of community-dwelling patients with polypharmacy

Purpose

To describe the prevalence of complexity factors in the medication regimens of community-dwelling patients with more than five drugs and to evaluate the relevance of these factors for individual patients.

Methods

Data were derived from the HIOPP-6 trial, a controlled study conducted in 9 general practices which evaluated an electronic tool to detect and reduce complexity of drug treatment. The prevalence of complexity factors was based on the results of the automated analysis of 139 patients’ medication data. The relevance assessment was based on the patients’ rating of each factor in an interview (48 patients included for analysis).

Results

A median of 5 (range 0–21) complexity factors per medication regimen were detected and at least one factor was observed in 131 of 139 patients. Almost half of these patients found no complexity factor in their medication regimen relevant.

Conclusion

In most medication regimens, complexity factors could be identified automatically, yet less than 15% of factors were indeed relevant for patients as judged by themselves. When assessing complexity of medication regimens, one should especially consider factors that are both particularly frequent and often challenging for patients, such as use of inhalers or tablet splitting.

Trial registration

The HIOPP-6 trial was registered retrospectively on May 17, 2021, in the German Clinical Trials register under DRKS-ID DRKS00025257.

Supplementary information

The online version contains supplementary material available at 10.1007/s00228-022-03314-1.

Comparing and validating medication complexity from insurance claims against electronic health records

BACKGROUND: Patient effort to comply with complex medication instructions is known to be related to nonadherence and subsequent medical complications or health care costs. A widely used Medication Regimen Complexity Index (MRCI) has been used with electronic health records (EHRs) to identify patients who could benefit from pharmacist intervention. A similar claims-derived measure may be better suited for clinical decision support, since claims offer a more complete view of patient care and health utilization. OBJECTIVE: To define and validate a novel insurance claims-based medication complexity score (MCS) patterned after the widely used MRCI, derived from EHRs. METHODS: Insurance claims and EHR data were provided by HealthPartners (N = 54,988) (Bloomington, Minnesota) and The Johns Hopkins Health System (N = 28,589) (Baltimore, Maryland) for years 2013 and 2017, respectively. Yearly measures of medication complexity were developed for each patient and evaluated with one another using rank correlation within different clinical subgroupings. Indicators for the presence of individually complex prescriptions were also developed and assessed using exact agreement. Complexity measures were then correlated with select covariates to further validate the concordance between MCS and MRCI with respect to clinical metrics. These included demographic, comorbidity, and health care utilization markers. Prescribed medications in each system's EHR were coded using the previously validated MRCI weighting rules. Insurance claims for retail pharmacy medications were coded using our novel MCS, which closely followed MRCI scoring rules. RESULTS: EHR-based MRCI and claims-based MCS were significantly correlated with one another for most clinical subgroupings. Likewise, both measures were correlated with several covariates, including count of active medications and chronic conditions. The MCS was, in most cases, more associated with key health covariates than was MRCI, although both were consistently significant. We found that the highest correlation between MCS and MRCI is obtained with patients who have similar counts of pharmacy records between EHRs and claims (HealthPartners: P = 0.796; Johns Hopkins Health System: P = 0.779). CONCLUSIONS: The findings suggest good correspondence between MCS and MRCI and that claims data represent a useful resource for assessing medication complexity. Claims data also have major practical advantages, such as interoperability across health care systems, although they lack the detailed clinical context of EHRs. DISCLOSURES: The Johns Hopkins University holds the copyright to the Adjusted Clinical Groups (ACG) system and receives royalties from the global distribution of the ACG system. This revenue supports a portion of the authors' salary. No additional or external funding supported this work. The authors have no conflict of interest to disclose.

Optimizing Older Adults' Medication Use

This article is the third in a series, Supporting Family Caregivers in the 4Ms of an Age-Friendly Health System, published in collaboration with the AARP Public Policy Institute as part of the ongoing Supporting Family Caregivers: No Longer Home Alone series. The 4Ms of an Age-Friendly Health System (What Matters, Medication, Mentation, and Mobility) is an evidence-based framework for assessing and acting on critical issues in the care of older adults across settings and transitions of care. Engaging the health care team, including older adults and their family caregivers, with the 4Ms framework can help to ensure that every older adult gets the best care possible, is not harmed by health care, and is satisfied with the care they receive. The articles in this series present considerations for implementing the 4Ms framework in the inpatient hospital setting and incorporating family caregivers in doing so. Resources for both nurses and family caregivers, including a series of accompanying videos developed by AARP and the Rush Center for Excellence in Aging and funded by The John A. Hartford Foundation, are also provided. Nurses should read the articles first, so they understand how best to help family caregivers. Then they can refer caregivers to the informational tear sheet-Information for Family Caregivers-and instructional videos, encouraging them to ask questions. For additional information, see Resources for Nurses.

Ineffective health management: A systematic review and meta-analysis of related factors

PURPOSE

A standardized language system can support the elaboration of clinical guidelines by matching information from similar patterns of response to people. To identify the factors that are related to a higher likelihood of an ineffective health management nursing diagnosis.

METHODS

We conduct a systematic review and meta-analysis. An electronic search was conducted in MEDLINE databases via PubMed, Web of Science, SciELO, CINAHL, SCOPUS, and Embase between October and November 2020. Descriptive data were extracted from each article. The odds ratios for each etiological factor related to ineffective health management were directly extracted from the articles or calculated from the data described in the articles. The analysis of the measurements of exposure and the magnitude of the effect was performed using the statistical software R, and a forest plot was constructed for each etiological factor.

FINDINGS

Ten studies were included, and 15 related factors were recovered from the primary studies. The factors that significantly increased the likelihood of an ineffective health management nursing diagnosis were insufficient knowledge of the therapeutic regimen, perceived barriers, powerlessness, economic disadvantage, and difficulty managing complex treatment regimens. No effect was verified with the following factors: decision conflict, family pattern of healthcare, and inadequate number of cues to action.

CONCLUSION

Factors related to a higher likelihood of ineffective health management may be the focus of early and targeted nursing interventions, contributing to an improved quality of care.

CLINICAL RELEVANCE

Understanding exposure to these factors can improve diagnostic reasoning at different population levels.

A pilot study to identify elderly patients with cognitive impairment for clinical pharmacist polypharmacy review in General Practice

Background

Polypharmacy in elderly patients is common with potential for harm. Cognitive impairment is postulated as the biggest contributor to poor medication management with increased risk of hospital admission. There is limited information about approaches to identify high risk patients for polypharmacy review.

Objective

Pilot study to determine if a new patient prioritisation tool would identify appropriate patients for pharmacist polypharmacy review.

Method

Prioritisation tool developed to rank community-dwelling elderly patients prescribed 10 or more medications with cognitive impairment for pharmacist polypharmacy review. Tool used General Practice (GP) appointments, Emergency Department attendances, repeat medications and cognitive impairment to create a score to prioritise review invitations. Reviews were completed by GP clinical pharmacists who recorded interventions and measured outcome assessments using the adapted RiO scoring tool.

Results

Polypharmacy reviews completed for 34 patients from three GP practices. Demographic results were 62% female (n = 21), median 78 years [IQR 72–80], median 3 comorbidities [IQR 2–4] with most reviews conducted face-to-face (n = 29; 85%). Pharmaceutical care interventions were hospital admission possible or likely prevention for the majority of patients (85%, n = 29) which contrasts with the historical level of 33% (n = 228) patients with traditional processes.

Conclusion

Pilot study demonstrated that the new tool identified appropriate patients for review prioritisation as patients had complex pharmaceutical care needs.

Pharmacists' Role in Older Adults' Medication Regimen Complexity: A Systematic Review

Medication regimen complexity (MRC) may influence health outcomes, such as hospitalisation, hospital readmission and medication adherence. Pharmacists have been referred to as health professionals with the opportunity to act on MRC reduction. This study aimed to investigate pharmacists' role in studies about older adults' medication regimen complexity. A literature search was performed in PubMed, Web of Science and the Cochrane Library-CENTRAL-up to October 2019. Out of 653 potentially relevant studies, 17 articles met the inclusion criteria for this review. Most studies used the 65-item medication regimen complexity index (MRCI) to assess medication complexity. Pharmacists' role was mainly confined to data collection. It seems that pharmacists' active role in older adults' medication complexity has not been studied in depth so far. However, the few existing interventional ones suggest that, after previous training, regimen simplification is feasible.

Associations of Medication Regimen Complexity with COPD Medication Adherence and Control

Introduction

Medication adherence is often low among people with chronic obstructive pulmonary disease (COPD) and medication regimen complexity may be a contributing factor. In this study, we sought to examine the role of medication regimen complexity in COPD medication adherence among patients with multimorbidity.

Methods

We performed cross-sectional analysis of data on COPD patients in primary care and pulmonary practices in New York City and Chicago (n=400). Regimen complexity was represented by the medication regimen complexity index (MRCI) and simple medication count. Adherence was measured by self-report and inhaler dose counts. Disease control measures included the COPD severity score (COPDSS) and the Medical Research Council (MRC) severity index.

Results

Mean age of study participants was 69 years, 66% had MRC grades 4 or 5, and 45% had low medication adherence. MRCI scores did not differ significantly between those with and without adequate medication adherence. Patients with higher MRCI scores were more likely to have severe COPD (OR 5.00, 95% CI 1.46-17.1, p=0.01) and dyspnea grades 3 or 4 (OR 2.27, 95% CI 1.03-5.03, p=0.04). Significant associations of medication count with COPD severity were also observed.

Discussion

These findings demonstrate that among patients with COPD and comorbid hypertension and diabetes, higher medication regimen complexity is associated with worse COPD control but not with COPD medication adherence.

Does drug dispensing improve the health outcomes of patients attending community pharmacies? A systematic review

BACKGROUND

Drug dispensing is a clinical pharmacy service that promotes access to medicines and their rational use. However, there is a lack of evidence for the impact of drug dispensing on patients' health outcomes. Thus, the purpose of this study was to assess the influence of drug dispensing on the clinical, humanistic, and economic outcomes of patients attending community pharmacies.

METHODS

A systematic literature search was performed in April 2021 using PubMed, Web of Science, Cochrane Library, LILACS, and Open Thesis. Two reviewers screened titles, abstracts, and full-text articles according to the eligibility criteria. Methodological quality was assessed using tools from the Joanna Briggs Institute, and the literature was synthesized narratively.

RESULTS

We retrieved 3,685 articles and included nine studies that presented 13 different outcomes. Regarding the design, they were cross-sectional (n = 4), randomized clinical trials (n = 4), and quasi-experimental (n = 1). A positive influence of drug dispensing on health outcomes was demonstrated through six clinical, four humanistic and three economic outcomes. Eight studies (88,9 %) used intermediate outcomes. The assessment of methodological quality was characterized by a lack of clarity and/or lack of information in primary studies.

CONCLUSIONS

Most articles included in this review reported a positive influence of drug dispensing performed by community pharmacists on patients' health outcomes. The findings of this study may be of interest to patients, pharmacists, decision makers, and healthcare systems, since they may contribute to evidence-based decision-making, strengthening the contribution of community pharmacists to health care.

TRIAL REGISTRATION

Registration: PROSPERO CRD42020191701 .

Complexity of Medication Regimens for Children With Neurological Impairment

IMPORTANCE

Parents of children with severe neurological impairment (SNI) manage complex medication regimens (CMRs) at home, and clinicians can help support parents and simplify CMRs.

OBJECTIVE

To measure the complexity and potentially modifiable aspects of CMRs using the Medication Regimen Complexity Index (MRCI) and to examine the association between MRCI scores and subsequent acute visits.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study was conducted between April 1, 2019, and December 31, 2020, at a single-center, large, hospital-based, complex care clinic. Participants were children with SNI aged 1 to 18 years and 5 or more prescribed medications.

EXPOSURE

Home medication regimen complexity was assessed using MRCI scores. The total MRCI score is composed of 3 subscores (dosage form, dose frequency, and specialized instructions).

MAIN OUTCOMES AND MEASURES

Patient-level counts of subscore characteristics and additional safety variables (total doses per day, high-alert medications, and potential drug-drug interactions) were analyzed by MRCI score groups (low, medium, and high score tertiles). Associations between MRCI score groups and acute visits were tested using Poisson regression, adjusted for age, complex chronic conditions, and recent health care use.

RESULTS

Of 123 patients, 73 (59.3%) were male with a median (interquartile range [IQR]) age of 9 (5-13) years. The median (IQR) MRCI scores were 46 (35-61 [range, 8-139]) overall, 29 (24-35) for the low MRCI group, 46 (42-50) for the medium MRCI group, and 69 (61-78) for the high MRCI group. The median (IQR) counts for the subscores were 6 (4-7) dosage forms per patient, 7 (5-9) dose frequencies per patient, and 5 (4-8) instructions per patient, with counts increasing significantly across higher MRCI groups. Similar trends occurred for total daily doses (median [IQR], 31 [20-45] doses), high-alert medications (median [IQR], 3 [1-5] medications), and potential drug-drug interactions (median [IQR], 3 [0-6] interactions). Incidence rate ratios of 30-day acute visits were 1.26 times greater (95% CI, 0.57-2.78) in the medium MRCI group vs the low MRCI group and 2.42 times greater (95% CI, 1.10-5.35) in the high MRCI group vs the low MRCI group.

CONCLUSIONS AND RELEVANCE

Higher MRCI scores were associated with multiple dose frequencies, complicated by different dosage forms and instructions, and associated with subsequent acute visits. These findings suggest that clinical interventions to manage CMRs could target various aspects of these regimens, such as the simplification of dosing schedules.

Development of measurable criteria to identify and prioritize patients for inclusion in comprehensive medication management programs within primary care settings

BACKGROUND: Pharmacists optimize medication use and ensure the safe and effective delivery of pharmacotherapy to patients using comprehensive medication management (CMM). Identifying and prioritizing individual patients who will most likely benefit from CMM can be challenging. Health systems have far more candidates for CMM than there are clinical pharmacists to provide this service. Furthermore, current evidence lacks widely accepted standards or automated mechanisms for identifying patients who would likely benefit from a pharmacist consultation. Existing tools to prioritize patients for pharmacist review often require manual chart review by a pharmacist or other clinicians or data collection by patient survey. OBJECTIVES: To (1) create new medication risk markers for identifying and prioritizing patients within a population and (2) identify patients who met these new markers, assess their clinical characteristics, and compare them with criteria that are widely used for medication therapy management (MTM). METHODS: Along with published literature, a panel of subject matter experts informed the development of 3 medication risk markers. To assess the prevalence of markers developed, we used Multum, a medication database, for medication-level characteristics, and for patient-level characteristics, we used QuintilesIMS, an administrative claims database derived from health plans across the United States, with data for 1,541,873 eligible individuals from 2014-2015. We compared the health care costs, utilization, and medication gap among patients identified through MTM criteria (both broad and narrow, as these are provided as ranges) and our new medication management score markers. RESULTS: We developed 3 claims-derivable markers: (1) instances when a patient filled a medication with high complexity that could affect adherence, (2) instances where a patient filled a medication defined as costly within a therapeutic category that could affect access, and (3) instances when a patient filled a medication defined as risky that could increase incidence of adverse drug events. In the QuintilesIMS database, individuals with 2 new medication risk markers plus at least 3 conditions and more than $3,017 in medication costs when compared with individuals meeting narrow MTM eligibility criteria (≥ 8 medications, ≥ 3 conditions, and > $3,017 medication costs) had increased costs ($36,000 vs $26,100 total; $24,800 vs 21,400 medical; $11,300 vs $4,800 pharmacy); acute care utilization (0.328 vs 0.256 inpatient admissions and 0.627 vs 0.579 emergency department visits); and 1 or more gaps in medication adherence(41.5% vs 34.7%). CONCLUSIONS: We identified novel markers of medication use risk that can be determined using insurance claims and can be useful to identify patients for CMM programs and prioritize patients who would benefit from clinical pharmacist intervention. These markers were associated with higher costs, acute care utilization, and gaps in medication use compared with the overall population and within certain subgroups. Providing CMM to these patients may improve health system performance in relevant quality measures. Evaluation of CMM services delivered by a pharmacist using these markers requires further investigation. DISCLOSURES: No outside funding supported this study. All authors are Johns Hopkins employees. The Johns Hopkins University receives royalties for nonacademic use of software based on the Johns Hopkins Adjusted Clinical Group (ACG) methodology. Chang, Kitchen, Weiner, and Kharrazi receive a portion of their salary support from this revenue. The authors have no conflicts of interests relevant to this study.

Effect of number of medications and complexity of regimens on medication adherence and blood pressure management in hospitalized patients with hypertension

INTRODUCTION

Good adherence of antihypertensives is recommended for the accomplishment of hypertension therapy. The number of medications and characteristics contributing to medication regimen complexity, such as dosage forms and dosing frequency, are known to influence medication adherence. However, the effect of medication regimen complexity on the therapeutic efficacy of medicines remains to be clarified. In the present study, we retrospectively investigated the effect of number of medications and medication regimen complexity on medication adherence and therapeutic efficacy in patients with hypertension.

METHODS

According to the inclusion and exclusion criteria, 1,057 patients, who were on medications including antihypertensives on admission at the Mie University Hospital between July 2018 and December 2018, were enrolled in this study. Poor blood pressure management was defined if the systolic or diastolic blood pressure were ≥140 mmHg or ≥ 90 mmHg. Medication regimen complexity was quantified using the medication regimen complexity index (MRCI) score.

RESULTS

Among 1,057 patients, 164 and 893 patients were categorized into poor and good adherence groups, respectively. The multivariate analyses revealed that age ≥ 71 years and oral MRCI score ≥ 19.5 but not number of oral medications were extracted as risk factors for poor medication adherence. Medication adherence and blood pressure management were poor in the group with oral MRCI score ≥ 19.5, regardless of the age. The rate of readmission was similar.

CONCLUSION

Our study is the first to demonstrate that medication regimen complexity rather than number of medications is closely related to medication adherence and blood pressure management. Hence, physicians and/or pharmacists should consider the complexity of medication regimens while modifying them.

A multidimensional measure of polypharmacy for older adults using the Health and Retirement Study

Polypharmacy is commonly defined based on the number of medications taken concurrently using standard cut-offs, but several studies have highlighted the need for a multidimensional assessment. We developed a multidimensional measure of polypharmacy and compared with standard cut-offs. Data were extracted for 2141 respondents of the 2007 Prescription Drug Survey, a sub-study of the Health Retirement Study. Latent classes were identified based on multiple indicators of polypharmacy, including quantity, temporality and risk profile. A four-class model was selected based on fit statistics and clinical interpretability: 'High risk, long-term' (Class 1), 'Low risk, long-term' (Class 2), 'High risk, short-term' (Class 3), and 'High risk for drug interactions, medium-term, regular' (Class 4). Classes differed regarding sex, cohabitation, disability and multimorbidity. Participants in the 'low risk' class tended to be male, cohabitating, and reported fewer health conditions, compared to 'high risk' classes. Polypharmacy classes were compared to standard cut-offs (5+ or 9+ medications) in terms of overlap and mortality risk. The three 'high risk' classes overlapped with the groups concurrently taking 5+ and 9+ medications per month. However, the multidimensional measure further differentiated individuals in terms of risk profile and temporality of medication taking, thus offering a richer assessment of polypharmacy.

Primary Care Records of Chronic-Disease Patient Adherence to Treatment

The goal of managing adherence (AD) is to achieve better medication use by patients in order to maximize benefits and reduce risks. With the aim of improving treatment adherence by patients, we carried out a descriptive study to obtain information related to adherence management in primary care. Inclusion criteria were as follows: patients that had at least one record of any treatment adherence assessment variable. For those that had more than one recorded variable, we analyzed consistency across test results. For the comparative analysis of adherence records, patients were categorized into three groups on the basis of the healthcare unit that recorded the data: case management (CM), home care (HC), and primary care team (PCT). A total of 32,137 subjects met inclusion criteria; 79.56% of subjects were older than 65. As for the analysis of assessment records across care units, 69.73% of CM patients, 67.17% of HC patients, and 2.33% of PCT patients had adherence assessment records. CM units made a significantly greater number of records than HC units. We observed low adherence at a rate of 49.3% in the CM group, 31.91% in the HC group, and 17.58% in the PCT group. When more than one adherence variable was recorded, analysis revealed inconsistent test results or recorded variables in 9.06% of PCT cases, 14.83% of HC cases, and 20.47% of CM cases. The inconsistencies observed in records of adherence assessment and management across different care units reveal the huge variability that exists in managing and selecting a tool to assess adherence.

Higher medication complexity in persons with HIV is associated with lower tenofovir diphosphate in dried blood spots

STUDY OBJECTIVE

To assess the association between tenofovir diphosphate (TFV-DP) in dried blood spots (DBS), a measure of cumulative tenofovir-based antiretroviral (ART) adherence, with medication regimen complexity in persons with human immunodeficiency virus (PWH).

DESIGN

Prospective clinical cohort (up to three visits over 48 weeks).

SETTING

Academic-based HIV clinic.

PATIENTS

PWH receiving tenofovir disoproxil fumarate (TDF)-based ART.

MEASUREMENTS

DBS for TFV-DP were collected at every study visit. Baseline patient-level medication regimen complexity index (pMRCI) scores were calculated and categorized into three sub-scores (disease-specific [ART], non-ART, and over-the-counter [OTC]). The pMRCI scores were evaluated to assess the association with TFV-DP in DBS <350 fmol/punch after adjusting for clinical covariates. pMRCI scores were also categorized to estimate the adjusted relative risk (aRR) of having a TFV-DP <350 fmol/punch between pMRCI quartiles.

MAIN RESULTS

Data from 525 participants (1,146 person-visits) were analyzed. Baseline median (interquartile range [IQR]) pMRCI scores for participants with TFV-DP in DBS <350 vs. ≥350 fmol/punch were 4 (3, 8) vs. 4 (2, 6) for ART, 27 (12, 31) vs. 12 (5, 22) for non-ART, and 0 (0, 1) vs. 0 (0, 2) for OTC, respectively. For the non-ART scores, the aRR for having a TFV-DP in DBS <350 fmol/punch was 6.4 (95% CI: 2.0, 20.6; P=0.002) when comparing participants in the highest pMRCI quartile with those in the lowest quartile.

CONCLUSIONS

Higher pMRCI for non-ART medications is associated with lower adherence as measured by TFV-DP in DBS. Future research should investigate whether reducing non-ART medication complexity improves ART adherence and exposure in PWH.

Development and Pilot-Testing of Key Questions to Identify Patients' Difficulties in Medication Administration

PURPOSE

The development and testing of key questions suitable to identify patients' difficulties with medication administration.

MATERIALS AND METHODS

We used a consecutive five-step process to draft key questions regarding 43 aspects of medication administration that can be difficult for patients who manage a complex drug treatment: Step 1) Identification of potentially error-prone characteristics of drug treatment (such as certain dosage forms) and initial draft of key questions. Step 2) Assessment of how comprehensible the questions are for patients. Step 3) Pre-testing of exemplary key questions with patients and monitoring of patient's actual medication administration behavior. Step 4) Evaluation by general practitioners of how well the questions may be integrated into actual patient visits. Step 5) Final approval of the questions in an expert panel. Thereafter, we pilot-tested exemplary questions with 36 patients (43 tests). In the course of this pilot-testing, the patients' answers to the key questions were tested against both their actual behavior during medication administration and against their answers to more general questions regarding potential difficulties with medication administration.

RESULTS

More than half of the key questions (N = 24/43) were revised at least once during the development process. During the pilot-testing, 55.8% of the pilot-tests (N = 24/43) revealed medication administration difficulties. It was observed that the key questions identified significantly more difficulties (N = 17) than the general questions (N = 8; P = 0.021, positive predictive value = 94.4% vs 88.9%). In one case, both a key question and a general question identified difficulties, which, however, was not confirmed during the drug administration demonstration, indicating a false positive rate of 5.3% in both cases.

CONCLUSION

We developed key questions aimed at detecting administration errors with a high specificity and a significantly higher sensitivity than general questions, suggesting that the resource-intensive demonstration of medication administration can be reserved for the detection of rarer and uncommon administration errors.

Development of medication regimen complexity index: Japanese version and application in elderly patients

Background Medication regimen complexity includes various aspects of a regimen, including the dosage form, number of medications and need for additional information for use. Complicated medication regimens cause non-adherence to prescribed medications, making it essential to evaluate medication regimen complexity in older adults to improve adherence to prescribed medications and clinical outcomes. The medication regimen complexity index is currently the most widely used scale for quantifying regimen complexity; however, it has yet to be adopted in Japan. Objective This study aimed to translate the medication regimen complexity index to Japanese and assess its reliability and validity for application in elderly patients in Japan. Setting This study was conducted in a clinic that provides home medical care to patients in the southern part of Ibaraki prefecture, Japan. Method The validation process consisted of translation of the original English version of the medication regimen complexity index to Japanese followed by back-translation to English, comparison of the back-translated and original versions, pilot testing, and assessment of the Japanese version by two raters using the medication regimens of 72 patients with chronic diseases. Main outcome measure The psychometric properties of the index were evaluated according to inter-rater and test-retest reliability, and convergent and discriminant validity. Results The mean age of the 72 patients was 84.3 years. The scale showed high inter-rater reliability (intraclass correlation coefficient 0.946) and test-retest reliability (intraclass correlation coefficient 0.991) for total scores. The number of medications was positively correlated with total medication regimen complexity index score (r_s = 0.930, P < 0.001). There were no statistically significant differences between age, sex and Charlson Comorbidity Index and medication regimen complexity index score (P > 0.05). Conclusions The Japanese version of the medication regimen complexity index is a reliable and valid tool for assessing the complexity of medication regimen in Japanese elderly patients.

Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients

INTRODUCTION

The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship between medication regimen complexity and patient outcomes.

METHODS

This study was a single-center, retrospective observational evaluation of 130 adults admitted to the medical ICU. The MRC-ICU score was utilized to improve the inpatient model's prediction accuracy. Three models were proposed: model I, demographic data without medication data; model II, demographic data and medication regimen complexity variables; and model III: demographic data and the MRC-ICU score. A total of 6 ML classifiers was developed: k-nearest neighbor (KNN), naïve Bayes (NB), random forest, support vector machine, neural network, and logistic classifier (LC). They were developed and tested using electronic health record data to predict inpatient mortality.

RESULTS

The results demonstrated that adding medication regimen complexity variables (model II) and the MRC-ICU score (model III) improved inpatient mortality prediction.. The LC outperformed the other classifiers (KNN and NB), with an overall accuracy of 83%, sensitivity (Se) of 87%, specificity of 67%, positive predictive value of 93%, and negative predictive value of 46%. The APACHE III score and the MRC-ICU score at the 24-hour interval were the 2 most important variables.

CONCLUSION AND RELEVANCE

Inclusion of the MRC-ICU score improved the prediction of patient outcomes on the previously established APACHE III score. This novel, proof-of-concept methodology shows promise for future application of the MRC-ICU scoring tool for patient outcome predictions.

Medication use, renin-angiotensin system inhibitors, and acute care utilization after hospitalization in patients with chronic kidney disease

Objectives:

The aims of this secondary analysis were to: (a) characterize medication use following hospital discharge for patients with chronic kidney disease (CKD), and (b) investigate relationships of medication use with the primary composite outcome of acute care utilization 90 days after hospitalization.

Methods:

The CKD-Medication Intervention Trial (CKD-MIT) enrolled acutely ill hospitalized patients with CKD stages 3–5 not dialyzed (CKD 3–5 ND). In this post hoc analysis, data for medication use were characterized, and the relationship of medication use with the primary outcome was evaluated using Cox proportional hazards models.

Results:

Participants were taking a mean of 12.6 (standard deviation=5.1) medications, including medications from a wide variety of medication classes. Nearly half of study participants were taking angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARB). ACE inhibitor/ARB use was associated with decreased risk of the primary outcome (hazard ratio=0.51; 95% confidence interval 0.28–0.95; p=0.03) after adjustment for baseline estimated glomerular filtration rate, age, sex, race, blood pressure, albuminuria, and potential nephrotoxin use.

Conclusions:

A large number, variety, and complexity of medications were used by hospitalized patients with CKD 3–5 ND. ACE inhibitor or ARB use at hospital discharge was associated with a decreased risk of 90-day acute care utilization.

Chronic Medication Burden and Complexity for US Patients with Type 2 Diabetes Treated with Glucose-Lowering Agents

INTRODUCTION

Most adults with type 2 diabetes (T2D) have several chronic conditions treated with complex regimens and multiple medications. The burden and complexity of multiple medication use are associated with worse patient outcomes, including reduced adherence and increased costs, hospitalizations, mortality rates, and HbA1c. This study quantifies the chronic medication burden, regimen complexity, and potential medication interactions in patients with T2D using a nationwide claims database in the USA.

METHODS

Adults with T2D treated for greater than half of the year with at least one glucose-lowering agent (GLA) in 2017 were included in this descriptive study. Chronic medications were defined as all GLAs and non-GLA medications prescribed for at least 90 days in 2017 to at least 2% of the cohort. Medication burden, defined as the number of medications prescribed, was examined. Medication complexity, proxied by the Medication Regimen Complexity Index (MRCI), and potential use of interacting medications were also examined. Results were investigated for all chronic medications and were reported on the basis of the disease treated (diabetes or other condition) and the route of administration (oral or other).

RESULTS

On average, in 2017, the 814,156 patients included in the study filled prescriptions for 4.1 chronic medications (standard deviation [SD] = 2.0), 3.7 oral chronic medications (SD = 1.9), 1.5 GLAs (SD = 0.8), and 1.1 oral GLAs (SD = 0.7). The average MRCI was 14.7 for all chronic medications (SD = 7.4), with a mean of 12.4 for all oral chronic medications (SD = 6.3), 6.6 for all GLAs (SD = 3.8), and 4.9 for oral GLAs (SD = 2.6).

CONCLUSION

On average, patients with T2D used multiple medications, had a complex medication regimen, and were at potential risk of medication interactions. These findings suggest that patients, practitioners, pharmacists, and payers may benefit from interventions which decrease medication burden, complexity, and/or adverse events related to the treatment of T2D.

Assessing the Population-Level Correlation of Medication Regimen Complexity and Adherence Indices Using Electronic Health Records and Insurance Claims

BACKGROUND

Nonadherence to medication regimens can lead to adverse health care outcomes and increasing costs.

OBJECTIVES

To (a) assess the level of medication complexity at an outpatient setting using population-level electronic health record (EHR) data and (b) evaluate its association with medication adherence measures derived from medication-dispensing claims.

METHODS

We linked EHR data with insurance claims of 70,054 patients who had an encounter with a U.S. midwestern health system between 2012 and 2013. We constructed 3 medication-derived indices: medication regimen complexity index (MRCI) using EHR data; medication possession ratio (MPR) using insurance pharmacy claims; and prescription fill rates (PFR; 7 and 30 days) using both data sources. We estimated the partial correlation between indices using Spearman's coefficient (SC) after adjusting for age and sex.

RESULTS

The mean age (SD) of 70,054 patients was 37.9 (18.0) years, with an average Charlson Comorbidity Index of 0.308 (0.778). The 2012 data showed mean (SD) MRCI, MPR, and 30-day PFR of 14.6 (17.8), 0.624 (0.310), and 81.0 (27.0), respectively. Patients with previous inpatient stays were likely to have high MRCI scores (36.3 [37.9], P < 0.001) and were less adherent to outpatient prescriptions (MPR = 50.3 [27.6%], P < 0.001; 30-day PFR = 75.7 [23.6%], P < 0.001). However, MRCI did not show a negative correlation with MPR (SC = -0.31, P < 0.001) or with 30-day PFR (SC = -0.17, P < 0.001) at significant levels.

CONCLUSIONS

Medication complexity and adherence indices can be calculated on a population level using linked EHR and claims data. Regimen complexity affects patient adherence to outpatient medication, and strength of correlations vary modestly across populations. Future studies should assess the added values of MRCI, MPR, and PFR to population health management efforts.

DISCLOSURES

No outside funding supported this study. The authors have nothing to disclose. The abstract of this work was presented at INFORMS Healthcare Conference, held on July 27-29, 2019, in Cambridge, MA.

Risk factors associated with drug therapy among elderly people with Alzheimer's disease: a cross-sectional study

BACKGROUND

Improving knowledge and establishing strategies and policies for better patient safety are worldwide priorities.

OBJECTIVE

To evaluate drug safety among elderly people with Alzheimer's disease (AD).

DESIGN AND SETTING

Cross-sectional study among elderly people within the National AD Assistance Protocol (PCDTDA/MS) who were living in the municipality of Araraquara, Brazil, in 2017.

METHODS

Through interviews conducted with relatives/caregivers of elderly people with diagnoses of AD, the following variables were evaluated: comorbidities, drug therapy used, use of potentially inappropriate medications for the elderly (PIMs), presence of potentially inappropriate interactions (PIIs) and medication regimen complexity index. Factors associated with AD severity were also evaluated. Multivariate and simple logistic regressions were applied.

RESULTS

143 elderly people enrolled in PCDTDA/MS were analyzed. The majority were women (67.1%); assisted only through the public healthcare system (75.5%); polymedicated (57.4%); using at least one PIM (63.6%); presenting at least one PII (63.6%); and under drug therapy of low to medium complexity (92.2%). No semi-annual monitoring of the effectiveness of PCDTDA/MS drugs was identified. The proportion using AD drug therapy at daily doses differing from those recommended by the World Health Organization was 75.6%. However, these doses were not associated with drug risk.

CONCLUSION

The data from this study raise the hypothesis that use of polypharmacy might show a correlation with severity of AD. The drug safety risk may be associated with comorbidities of the metabolic syndrome, anxiety and off-label use of PIMs, such as risperidone and quetiapine, and benzodiazepines (i.e. clonazepam and flunitrazepam).

Medication Complexity among Disadvantaged African American Seniors in Los Angeles

Background. Several publications highlight data concerning multiple chronic conditions and the medication regimen complexity (MRC) used in managing these conditions as well as MRCs’ association with polypharmacy and medication non-adherence. However, there is a paucity of literature that specifically details the correlates of MRC with multimorbidity, socioeconomic, physical and mental health factors in disadvantaged (medically underserved, low income) African American (AA) seniors. Aims. In a local sample in South Los Angeles, we investigated correlates of MRC in African American older adults with chronic disease(s). Methods. This was a community-based survey in South Los Angeles with 709 African American senior participants (55 years and older). Age, gender, continuity of care, educational attainment, multimorbidity, financial constraints, marital status, and MRC (outcome) were measured. Data were analyzed using linear regression. Results. Higher MRC correlated with female gender, a higher number of healthcare providers, hospitalization events and multimorbidity. However, there were no associations between MRC and age, level of education, financial constraint, living arrangements or health maintenance organization (HMO) membership. Conclusions. Disadvantaged African Americans, particularly female older adults with multimorbidity, who also have multiple healthcare providers and medications, use the most complex medication regimens. It is imperative that MRC is reduced particularly in African American older adults with multimorbidity.

Medication Regimen Complexity Index Prediction of Adverse Drug Reaction-Related Hospital Admissions

BACKGROUND

The relationship between the medication regimen complexity index (MRCI) and adverse drug reaction (ADR)-related hospital admissions has not yet specifically been investigated.

OBJECTIVE

To evaluate the MRCI and compare with medication count for prediction of ADR-related hospital admissions in older patients.

METHODS

This was a retrospective analysis of a prospectively collected convenience sample of 768 unplanned medical admissions of Australians aged 65 years old and older. The sample consisted of 115 (15.0%) ADR-related unplanned hospital admissions and 653 (85.0%) non-ADR-related unplanned medical admissions. The MRCI score was calculated from the medical records and analyzed to predict ADR-related hospital admissions.

RESULTS

The cohort had a median age of 81 years, 5 comorbidities, and 11 medications, with a slight majority of women. The MRCI score was not significantly different in patients who had ADR-related admissions compared with other medical admissions-38.5 versus 34.0, respectively; Wilcoxon Rank Sum test W = 33 522; P = 0.067. The medication count was significantly different between the ADR-related admissions compared with other medical admissions: 12 versus 10; W = 32 508; P = 0.021. However, the medication count was not a strong predictor of ADR-related admissions; unadjusted odds ratio = 1.044; 95% CI = 1.006-1.084.

CONCLUSION AND RELEVANCE

The MRCI score did not discriminate between ADR-related admissions and other medical admissions despite taking time to calculate with potential for inconsistent application. Medication count is more readily applicable with marginally greater relevance in this cohort; however, both measures do not appear to be useful when used alone for clinicians to identify patients at risk of ADRs.

Are Clinical Outcomes Associated With Medication Regimen Complexity? A Systematic Review and Meta-analysis

Background: Current evidence of the influence of the medication regimen complexity (MRC) on the patients’ clinical outcomes are not conclusive. Objective: To systematically and analytically assess the association between MRC measured by the Medication Regimen Complexity Index (MRCI) and clinical outcomes. Methods: A search was carried out in the databases Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science to identify studies evaluating the association between MRC and clinical outcomes that were published from January 1, 2004, to April 2, 2018. The search terms included outcome assessment, drug therapy, and medication regimen complexity index and their synonyms in different combinations for case-control and cohort studies that used the MRCI to measure MRC and related the MRCI with clinical outcomes. Odds ratios (ORs), hazard ratios (HRs), and mean differences (WMDs) were calculated, and heterogeneity was assessed using the I2 test. Results: A total of 12 studies met the eligibility criteria. The meta-analysis showed that MRC is associated with the following clinical outcomes: hospitalization (HR = 1.20; 95% CI = 1.14 to 1.27; I2 = 0%) in cohort studies, hospital readmissions (WMD = 7.72; 95% CI = 1.19 to 14.25; I2 = 84%) in case-control studies, and medication nonadherence (adjusted OR = 1.05; 95% CI = 1.02 to 1.07; I2 = 0%) in cohort studies. Conclusion and Relevance: This systematic review and meta-analysis gathered relevant scientific evidence and quantified the combined estimates to show the association of MRC with clinical outcomes: hospitalization, hospital readmission, and medication adherence.

Emergency department visits of older adults within 30 days of discharge: analysis from the pharmacotherapy perspective

OBJECTIVE

To analyze, from the pharmacotherapy perspective, the factors associated to visits of older adults to the emergency department within 30 days after discharge.

METHODS

A cross-sectional study carried out in a general public hospital with older adults. Emergency department visit was defined as the stay of the older adult in this service for up to 24 hours. The complexity of drug therapy was determined using the Medication Regimen Complexity Index. Potentially inappropriate drugs for use in older adults were classified according to the American Geriatric Society/Beers criteria of 2015. The outcome investigated was the frequency of visits to the emergency department within 30 days of discharge. Multivariate logistic regression was performed to identify the factors associated with the emergency department visit.

RESULTS

A total of 255 elderly in the study, and 67 (26.3%) visited emergency department within 30 days of discharge. Polypharmacy and potentially inappropriate medications for older adults did not present a statistically significant association. The diagnosis of heart failure and Medication Regimen Complexity Index >16.5 were positively associated with emergency department visits (OR=2.3; 95%CI: 1.04-4.94; p=0.048; and OR=2.1; 95%CI: 1.11-4.02; p=0.011), respectively. Furthermore, the diagnosis of diabetes mellitus and chronic kidney disease were protection factors for the outcome (OR=0.4; 95%CI: 0.20-0.73; p=0.004; and OR=0.3; 95%CI: 0.13-0.86; p=0.023).

CONCLUSION

The diagnosis of heart failure and Medication Regimen Complexity Index >16.5 were positively associated with the occurrence of an emergency department visit within 30 days of discharge.

Medication Regimen Complexity In 8 Australian Residential Aged Care Facilities: Impact Of Age, Length Of Stay, Comorbidity, Frailty, And Dependence In Activities Of Daily Living

Objective

To explore variation in medication regimen complexity in residential aged care facilities (RACFs) according to resident age, length of stay, comorbidity, dementia severity, frailty, and dependence in activities of daily living (ADLs), and compare number of daily administration times and Medication Regimen Complexity Index (MRCI) as measures of regimen complexity.

Methods

This study was a cross-sectional analysis of baseline data from the SImplification of Medications Prescribed to Long-tErm care Residents (SIMPLER) cluster-randomized controlled trial. The SIMPLER study recruited 242 residents with at least one medication charted for regular administration from 8 RACFs in South Australia. Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Dementia severity was assessed using the Dementia Severity Rating Scale. Frailty was assessed using the FRAIL-NH scale. Dependence in ADLs was assessed using the Katz ADL scale.

Results

The median age of participants was 87 years (interquartile range 81–92). Over one-third of participants (n=86, 36%) had 5 or more daily medication administration times. The number of daily administration times and MRCI scores were positively correlated with resident length of stay (r_s=0.19; 0.27), FRAIL-NH score (r_s=0.23; 0.34) and dependence in ADLs (r_s=−0.21; −0.33) (all p<0.01). MRCI was weakly negatively correlated with CCI score (r_s=−0.16; p=0.013). Neither number of daily administration times nor MRCI score were correlated with age or dementia severity. In multivariate analysis, frailty was associated with number of daily administration times (OR: 1.13, 95% CI: 1.03–1.24) and MRCI score (OR: 1.26, 95% CI: 1.13–1.41). Dementia severity was inversely associated with both multiple medication administration times (OR: 0.97, 95% CI: 0.94–0.99) and high MRCI score (OR: 0.95, 95% CI: 0.92–0.98).

Conclusion

Residents with longer lengths of stay, more dependent in ADLs and most frail had the most complex medication regimens and, therefore, may benefit from targeted strategies to reduce medication regimen complexity.

Development and validation of the Korean version of the medication regimen complexity index

The medication regimen complexity index (MRCI), originally developed in English, is a reliable and valid tool to assess the complexity of pharmacotherapy. This study aimed to validate the Korean version of MRCI (MRCI-K). A cross-cultural methodological study comprising 335 discharged patients of a tertiary hospital in Korea was conducted. The translation process included translation into Korean by two clinical pharmacists, back translation by two native speakers, and a pretest of the tool, culminating in the Korean version of MRCI-K. Reliability analysis was assessed using inter-rater and test–retest reliability with 25 randomly selected patients. Convergent and discriminant validity analyses were conducted by correlating MRCI scores with medication number, age, sex, adverse drug reaction (ADR) reports, and length of stay. The criterion validity was confirmed through evaluation by a nine-member expert panel that subjectively ranked these regimens. The reliability analysis demonstrated excellent internal consistency (Cronbach’s α = 0.977), and the intraclass correlation coefficient exceeded 0.90 for all cases. The correlation coefficient for the number of medications was 0.955 (P < 0.001). Weak significant correlations were observed with age and length of stay. The MRCI-K group with ADR reports scored higher (mean, 31.8) than the group without ADR reports (mean, 27.3). The expert panel’s ranking had a stronger correlation with the MRCI ranking than the medication number ranking. MRCI-K has similar reliability and validity as MRCI and is useful for analyzing therapeutic regimens with potential applications in both practice and research in Korea.

Medication regimen complexity and medication adherence in elderly patients with chronic kidney disease

INTRODUCTION

Elderly patients with chronic kidney disease (CKD) stage 5 with or without dialysis treatment usually have concomitant comorbidities, which often result in multiple pharmacological therapies. This study aimed to identify factors associated with medication complexity and medication adherence, as well as the association between medication complexity and medication adherence, in elderly patients with CKD.

METHODS

This prospective study involved elderly patients with CKD stage 5 (estimated glomerular filtration rate < 15 ml/min/1.73m² ) recruited from three Norwegian hospitals. Most of the patients were receiving either hemodialysis or peritoneal dialysis. We used the Medication Regimen Complexity Index (MRCI) to assess the complexity of medication regimens, and the eight-item Morisky Medication Adherence Scale (MMAS-8) to assess medication adherence. Factors associated with the MRCI and MMAS-8 score were determined using either multivariable linear or ordinal logistic regression analysis.

FINDINGS

In total, 157 patients aged 76 ± 7.2 years (mean ± SD) were included in the analysis. Their overall MRCI score was 22.8 ± 7.7. In multivariable linear regression analyses, female sex (P = 0.044), Charlson Comorbidity Index of 4 or 5 (P = 0.029) and using several categories of phosphate binders (P < 0.001 to 0.04) were associated with the MRCI. Moderate or high adherence (MMAS-8 score ≥ 6) was demonstrated by 83% of the patients. The multivariable logistic regression analyses found no association of medication complexity, age or other variables with medication adherence as assessed using the MMAS-8.

DISCUSSION

Female sex, comorbidity and use of phosphate binders were associated with more-complex medication regimens in this population. No association was found between medication regimen complexity, phosphate binders or age and medication adherence. These findings are based on a homogeneous elderly group, and so future studies should test if they can be generalized to patients of all ages with CKD.

Patient-Level Medication Regimen Complexity in an Adolescent and Adult Population with Autism Spectrum Disorders

BACKGROUND

Adults with autism spectrum disorder (ASD) frequently experience polypharmacy. However, there is limited understanding of how to quantify medication complexity in this vulnerable population.

OBJECTIVES

This study examined medication administration difficulty using the Medication Regimen Complexity Index (MRCI) tool in adolescents and adults with ASD. The outcomes compared the mean total MRCI score with the medication count, described MRCI contributions for over-the-counter medication (OTC), and compared MRCI scores by patient characteristics.

METHODS

This was a retrospective chart review of patients aged 7-45 years (mean = 20.1) enrolled in a primary care ASD transitions program. Each patient's listed medications were counted and then scored using the validated MRCI tool.

RESULTS

For the 142 patients studied, mean total MRCI was 14.6 ± 14.6 (range 0-89) and mean medication count was 6.3 ± 5.4 (range 0-38). For patients on 0-4 medications (66 of 142; 46.5%), the mean MRCI was 5.5 ± 4.2, 5-9 medications (50 of 142; 35.2%) the mean MRCI was 15.2 ± 6.8, and 10-38 medications (26 of 142; 18.3%) the mean MRCI was 36.5 ± 18.9 (p<0.001). Sixty percent (85 of 142) reported OTC use, which contributed 26.6% to the mean total MRCI. Reported benzodiazepine (mean MRCI 25.8 ± 17.2), antiepileptic (mean MRCI 23.7 ± 16.9), antipsychotic (mean MRCI 19.7 ± 15.9), or antidepressant (mean MRCI 17.0 ± 14.8) use received higher MRCI scores compared to nonuse (p<0.001 for all except antidepressants [p=0.004]). Total MRCI did not differ significantly by age group, sex, or attention-deficit-hyperactivity disorder (ADHD) medication use (stimulant or nonstimulant).

CONCLUSIONS

Medication regimen complexity in adolescents and adults with ASD was increased significantly for individuals taking ≥ 5 medications. Central nervous system agent use, other than ADHD therapy, identified patients with higher regimen complexity. The related clinical effects of these findings warrant further investigation.