[Translated article] Pharmaceutical recommendations for therapeutic appropriateness in patients with multiple sclerosis

OBJECTIVE

To determine the prevalence of PIMDINAC criteria and to implement pharmacological interventions in a population with multiple sclerosis over 55 years of age.

METHODS

Retrospective, observational, open-label study, including patients with multiple sclerosis aged 55 years and older during December 2022 and February 2023. The main variable determined was the percentage of compliance with the PIMDINAC criteria.

RESULTS

Ninety-five patients were included, with the presence of PIMDINAC criteria detected in 67.4%. The most frequently detected criterion was non-adherence to concomitant treatment (84.4%), followed by drug-drug interactions (56.2%) and potentially inappropriate medication (25%). A total of 20 pharmaceutical interventions were performed in 17 patients (17.9%). Potentially inappropriate medication was responsible for 11 interventions, non-adherence for 7, and drug-drug interactions for 2. The 81.8% of interventions were accepted, resulting in the discontinuation of 15 inappropriately prescribed drugs. The prevalence of PIMDINAC criteria in this group of patients is high. The study revealed that PIMDINAC criteria were prevalent in 67.4% of the study population, with polypharmacy playing an important role, suggesting the potential for a multidisciplinary approach, through pharmaceutical interventions to address unnecessary or duplicate treatments.

Pharmaceutical recommendations for therapeutic appropriateness in multiple sclerosis patients

OBJECTIVE

To determine the prevalence of PIMDINAC criteria and to implement pharmacological interventions in a population with multiple sclerosis over 55 years of age.

METHODS

Retrospective observational open-label study including patients with multiple sclerosis aged 55 years and older between December 2022 and February 2023. The main variable determined was the percentage of compliance with the PIMDINAC criteria.

RESULTS

Ninety-five patients were included, with the presence of PIMDINAC criteria detected in 67.4%. The most frequently detected criterion was non-adherence to concomitant treatment (84,4%), followed by drug-drug interactions (56.2%) and potentially inappropriate medication (25%). A total of 20 pharmaceutical interventions were performed in 17 patients (17.9%). Potentially inappropriate medication was responsible for 11 interventions, non-adherence for 7 and drug-drug interactions for 2. The 81.8% of interventions were accepted, resulting in the discontinuation of 15 inappropriately prescribed drugs. The prevalence of PIMDINAC criteria in this group of patients is high. The study revealed that PIMDINAC criteria were prevalent in 67.4% of the study population, with polypharmacy playing an important role, suggesting the potential for a multidisciplinary approach, through pharmaceutical interventions to address unnecessary or duplicate treatments.

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.

An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study

Background: Inappropriate medication in older patients with multimorbidity results in a greater risk of adverse drug events. Clinical decision support systems (CDSSs) are intended to improve medication appropriateness. One approach to improving CDSSs is to use ontologies instead of relational databases. Previously, we developed OntoPharma-an ontology-based CDSS for reducing medication prescribing errors. Objective: The primary aim was to model a domain for improving medication appropriateness in older patients (chronic patient domain). The secondary aim was to implement the version of OntoPharma containing the chronic patient domain in a hospital setting. Methods: A 4-step process was proposed. The first step was defining the domain scope. The chronic patient domain focused on improving medication appropriateness in older patients. A group of experts selected the following three use cases: medication regimen complexity, anticholinergic and sedative drug burden, and the presence of triggers for identifying possible adverse events. The second step was domain model representation. The implementation was conducted by medical informatics specialists and clinical pharmacists using Protégé-OWL (Stanford Center for Biomedical Informatics Research). The third step was OntoPharma-driven alert module adaptation. We reused the existing framework based on SPARQL to query ontologies. The fourth step was implementing the version of OntoPharma containing the chronic patient domain in a hospital setting. Alerts generated from July to September 2022 were analyzed. Results: We proposed 6 new classes and 5 new properties, introducing the necessary changes in the ontologies previously created. An alert is shown if the Medication Regimen Complexity Index is ≥40, if the Drug Burden Index is ≥1, or if there is a trigger based on an abnormal laboratory value. A total of 364 alerts were generated for 107 patients; 154 (42.3%) alerts were accepted. Conclusions: We proposed an ontology-based approach to provide support for improving medication appropriateness in older patients with multimorbidity in a scalable, sustainable, and reusable way. The chronic patient domain was built based on our previous research, reusing the existing framework. OntoPharma has been implemented in clinical practice and generates alerts, considering the following use cases: medication regimen complexity, anticholinergic and sedative drug burden, and the presence of triggers for identifying possible adverse events.

[Translated Article] Disease-modifying treatments for patients with multiple sclerosis in Spain

Multiple sclerosis is a chronic demyelinating disease of the central nervous system and long-term disabling. Different disease-modifying treatments are available. These patients, despite being generally young, have high comorbidity and risk of polymedication due to their complex symptomatology and disability.

OBJECTIVE PRIMARY

To determine the type of disease-modifying treatment in patients seen in Spanish hospital pharmacy departments.

SECONDARY OBJECTIVES

to determine concomitant treatments, determine the prevalence of polypharmacy, identify the prevalence of interactions and analyze pharmacotherapeutic complexity.

METHOD

Observational, cross-sectional, multicentre study. All patients with a diagnosis of multiple sclerosis and active disease-modifying treatment who were seen in outpatient clinics or day hospitals during the second week of February 2021 were included. Modifying treatment, comorbidities and concomitant treatments were collected to determine multimorbidity pattern, polypharmacy, pharmacotherapeutic complexity (Medication Regimen Complexity Index) and drug-drug interactions.

RESULTS

1407 patients from 57 centres in 15 autonomous communities were included. The most frequent form of disease presentation was the relapsing remitting form (89.3%). The most prescribed disease-modifying treatment was dimethyl fumarate (19.1%), followed by teriflunomide (14.0%). Of the parenteral disease-modifying treatments, the two most prescribed were glatiramer acetate and natalizumab with 11.1% and 10.8%. 24.7% of the patients had 1 comorbidity and 39.8% had at least 2 comorbidities. 13.3% belonged to at least one of the defined patterns of multimorbidity and 16.5% belonged to 2 or more patterns. The concomitant treatments prescribed were psychotropic drugs (35.5%); antiepileptic drugs (13.9%) and antihypertensive drugs and drugs for cardiovascular pathologies (12.4%). The presence of polypharmacy was 32.7% and extreme polypharmacy 8.1%. The prevalence of interactions was 14.8%. Median pharmacotherapeutic complexity was 8.0 (IQR: 3.3-15.0).

CONCLUSIONS

We have described the disease-modifying treatment of patients with multiple sclerosis seen in Spanish pharmacy services and characterized concomitant treatments, the prevalence of polypharmacy, interactions, and their complexity.

Disease-modifying treatments for patients with multiple sclerosis in Spain

Multiple sclerosis is a chronic demyelinating disease of the central nervous system and long-term disabling. Different disease-modifying treatments are available. These patients, despite being generally young, have high comorbidity and risk of polymedication due to their complex symptomatology and disability.

OBJECTIVE PRIMARY

To determine the type of disease-modifying treatment in patients seen in Spanish hospital pharmacy departments.

SECONDARY OBJECTIVES

To determine concomitant treatments, determine the prevalence of polypharmacy, identify the prevalence of interactions and analyse pharmacotherapeutic complexity.

METHOD

Observational, cross-sectional, multicentre study. All patients with a diagnosis of multiple sclerosis and active disease-modifying treatment who were seen in outpatient clinics or day hospitals during the second week of February 2021 were included. Modifying treatment, comorbidities and concomitant treatments were collected to determine multimorbidity pattern, polypharmacy, pharmacotherapeutic complexity (Medication Regimen Complexity Index) and drug-drug interactions.

RESULTS

1,407 patients from 57 centres in 15 autonomous communities were included. The most frequent form of disease presentation was the relapsing remitting form (89.3%). The most prescribed disease-modifying treatment was dimethyl fumarate (19.1%), followed by teriflunomide (14.0%). Of the parenteral disease-modifying treatments, the two most prescribed were glatiramer acetate and natalizumab with 11.1% and 10.8%. 24.7% of the patients had one comorbidity and 39.8% had at least 2 comorbidities. 13.3% belonged to at least one of the defined patterns of multimorbidity and 16.5% belonged to 2 or more patterns. The concomitant treatments prescribed were psychotropic drugs (35.5%); antiepileptic drugs (13.9%) and antihypertensive drugs and drugs for cardiovascular pathologies (12.4%). The presence of polypharmacy was 32.7% and extreme polypharmacy 8.1%. The prevalence of interactions was 14.8%. Median pharmacotherapeutic complexity was 8.0 (IQR: 3.3 -- 15.0).

CONCLUSIONS

We have described the disease-modifying treatment of patients with multiple sclerosis seen in Spanish pharmacy services and characterised concomitant treatments, the prevalence of polypharmacy, interactions, and their complexity.

Association between medication regimen complexity and glycemic control among patients with type 2 diabetes

INTRODUCTION

Type 2 diabetes mellitus (T2DM) and comorbid conditions require patients to take complex medication regimens. Greater regimen complexity has been associated with poorer T2DM management; however, the relationship between overall regimen complexity and glycemic control is unclear.

OBJECTIVES

Our objectives were: (1) to examine associations between regimen complexity (with the Medication Regimen Complexity Index [MRCI]) and glycemic control (A1C), and (2) to compare overall MRCI with other measures of regimen complexity (overall and diabetes-specific medication count) and diabetes-specific MRCI.

METHODS

This was a secondary data analysis of cross-sectional data from a parent trial. Participants were patients with T2DM taking at least 3 chronic medications followed in safety net clinics in the Chicago area. The MRCI measures complexity based on dosing frequency, route of administration, and special instructions for prescribed medications. MRCI scores were created for overall regimens and diabetes-specific medications. Sociodemographics and outpatient visit utilization were included in models as covariates. Linear regression was used to examine the associations between variables of interest and hemoglobin A1C.

RESULTS

Participants (N = 432) had a mean age of 56.9 years, most were female (66.0%), and Hispanic or Latino (73.3%). Regimen complexity was high based on overall medications (mean = 6.6 medications, SD: 3.09) and MRCI (mean = 21.4, SD: 11.3). Higher diabetes-specific MRCI was associated with higher A1C in bivariate and multivariable models. In multivariable models, overall MRCI greater than 14, fewer outpatient health care visits, male gender, and absence of health insurance were independently associated with higher A1C. The variance in A1C explained by MRCI was higher compared to medication count for overall and diabetes-specific regimen complexity.

CONCLUSIONS

More complex regimens are associated with worse A1C and measuring complexity with MRCI may have advantages. Deprescribing, increasing insurance coverage, and promoting engagement in health care may improve A1C among underserved populations with complex regimens.

Improving individualized prescription in patients with multimorbidity through medication review

Background

Older patients tend to have multimorbidity, represented by multiple chronic diseases or geriatric conditions, which leads to a growing number of prescribed medications. As a result, pharmacological prescription has become a major concern because of the increased difficulties to ensure appropriate prescription in older adults. The study’s main objectives were to characterize a cohort of older adults with multimorbidity, carry out a medication review and compare the pharmacological data before and after the medication review globally and according to the frailty index.

Methods

This was a quasi-experimental (uncontrolled pre-post) study with a cohort of patients ≥ 65 years old with multimorbidity. Data were collected from June 2019 to October 2020. Variables assessed included demographic, clinical, and pharmacological data, degree of frailty (Frail-VIG index), medication regimen complexity index, anticholinergic and or sedative burden index, and monthly drug expenditure. Finally, a medication review was carried out by an interdisciplinary team (primary care team and a consultant team with a geriatrician and a clinical pharmacist) by applying the Patient-Centered Prescription model to align the treatment with care goals.

Results

Four hundred twenty-eight patients were recruited [66.6% women; mean age 85.5 (SD 7.67)]. The mean frail index was 0.39 (SD 0.13), corresponding with moderate frailty. Up to 90% of patients presented at least one inappropriate prescription, and the mean of inappropriate prescriptions per patient was 3.14 (SD 2.27). At the three-month follow-up [mortality of 17.7% (n = 76)], the mean chronic medications per patient decreased by 17.96%, varying from 8.13 (SD 3.87) to 6.67 (SD 3.72) (p < 0.001). The medication regimen complexity index decreased by 19.03%, from 31.0 (SD 16.2) to 25.1 (SD 15.1), and the drug burden index mean decreased by 8.40%, from 1.19 (SD 0.82) to 1.09 (SD 0.82) (p < 0.001). A decrease in polypharmacy, medication regimen complexity index, and drug burden index was more frequent among frail patients, especially those with severe frailty (p < 0.001).

Conclusions

An individualized medication review in frail older patients, applying the Patient-Centered Prescription model, decreases pharmacological parameters related to adverse drug effects, such as polypharmacy, therapeutical complexity, and anticholinergic and, or sedative burden. The benefits are for patients with frailty.

Individualized Medication Review in Older People with Multimorbidity: A Comparative Analysis between Patients Living at Home and in a Nursing Home

(1) Background: aging is associated with complex and dynamic changes leading to multimorbidity and, therefore, polypharmacy. A periodic medication review (MR) in frail older people leads to optimizing medication use. The aims of the study were to perform a comparative analysis of the impact of place of residence (own home versus nursing home) in a cohort of older patients on the characteristics of the baseline therapeutic plan and characteristics of the therapeutic plan after an MR; (2) Methods: Study with paired pre- and post-MR data based on person-centred prescription, with a follow-up assessment at three months. Patients who lived either in their own home or in a nursing home were recruited. We selected patients of 65 years or more with multimorbidity whose General Practitioner identified difficulties with the prescription management and the need for an MR. Each patient’s treatment was analysed by applying the Patient-Centred Prescription (PCP) model; (3) Results: 428 patients. 90% presented at least one inappropriate prescription (IP) in both settings. In nursing homes, a higher number of implemented optimization proposals was detected (81.6% versus 65.7% (p < 0.001)). After the MR, nursing-home patients had a greater decrease in their mean number of medications, polypharmacy prevalence, therapeutic complexity, and monthly drug expenditure (p < 0.001); (4) Conclusions: PCP model detected a high number of IP in both settings. However, after an individualized MR, nursing-home patients presented a greater decrease in some pharmacological parameters related to adverse events, such as polypharmacy and therapeutic complexity, compared to those living at home. Nursing homes may be regarded as a highly suitable scenario to carry out a periodic MR, due to its high prevalence of frail people and its feasibility to apply the recommendations of an MR. Prospective studies with a robust design should be performed to demonstrate this quasi-experimental study along with a longitudinal follow-up on clinical outcomes.

Impact of a Pharmaceutical Care Program at Discharge on Patients at High Risk of Readmission According to the Hospital Score

Background: A significant percentage of hospital readmissions within 30 days of discharge are a result of avoidable drug-related problems. Stratifying patients according to readmission risk is key to pharmaceutical intervention (PI) design strategies to improve treatment outcomes. Objective: To assess whether a pharmaceutical care (PC) program at discharge in polymedicated patients at high potentially avoidable readmission (PAR) risk, according to the HOSPITAL score, improves 30-day readmission rate (30-dRR). Methods: This prospective controlled, quasi-experimental, 11-month study included 163 chronic polymedicated patients (>5 medications) at high PAR risk according to the HOSPITAL score. We calculated the 30-dRR and number of medication variations and Medication Regimen Complexity Index-E (MRCI-E) after PI. Results were compared with a retrospective cohort of chronic patients at high PAR risk. Results: The 30-dRR was 18.4% in the intervention group and 25.6% in the control group (odds ratio [OR] = 0.66; 95% CI = 0.38 to 1.14). Total medication reduction (-1.28; 95% CI = -1.88 to -0.68), number of high-risk medications in chronic patients (-0.58; 95% CI = -0.9 to -0.26), and MRCI-E (-6.42; 95% CI = -8.07 to -4.76) were statistically significant (P < .001). The number of medications at discharge was associated with an increased readmission risk (OR = 1.07; 95% CI = 1.01 to 1.14). Conclusions: The degree of polypharmacy and patients' treatment complexity after hospital discharge significantly reduced as a result of the PC program compared with the control group. This highlights the need for patient selection and prioritization strategies for implementing PIs focused on reducing polypharmacy and preventing drug-related problems that may cause PAR.

Factors Associated with Medication Non-Adherence among Patients with Multimorbidity and Polypharmacy Admitted to an Intermediate Care Center

Identifying determinants of medication non-adherence in patients with multimorbidity would provide a step forward in developing patient-centered strategies to optimize their care. Medication appropriateness has been proposed to play a major role in medication non-adherence, reinforcing the importance of interdisciplinary medication review. This study examines factors associated with medication non-adherence among older patients with multimorbidity and polypharmacy. A cross-sectional study of non-institutionalized patients aged ≥65 years with ≥2 chronic conditions and ≥5 long-term medications admitted to an intermediate care center was performed. Ninety-three patients were included (mean age 83.0 ± 6.1 years). The prevalence of non-adherence based on patients' multiple discretized proportion of days covered was 79.6% (n = 74). According to multivariable analyses, individuals with a suboptimal self-report adherence (by using the Spanish-version Adherence to Refills and Medications Scale) were more likely to be non-adherent to medications (OR = 8.99, 95% CI 2.80-28.84, p < 0.001). Having ≥3 potentially inappropriate prescribing (OR = 3.90, 95% CI 0.95-15.99, p = 0.059) was barely below the level of significance. These two factors seem to capture most of the non-adherence determinants identified in bivariate analyses, including medication burden, medication appropriateness and patients' experiences related to medication management. Thus, the relationship between patients' self-reported adherence and medication appropriateness provides a basis to implement targeted strategies to improve effective prescribing in patients with multimorbidity.

Improving medication adherence and effective prescribing through a patient-centered prescription model in patients with multimorbidity

PURPOSE

This study aimed to assess the impact of the patient-centered prescription (PCP) model in medication adherence and effective prescribing in patients with multimorbidity.

METHODS

Uncontrolled before-after study in an intermediate care facility in a mixed urban-rural district. Inpatients aged ≥ 65 years with multimorbidity exposed to polypharmacy before hospital admission were consecutively enrolled. Every patient's treatment plan was analyzed through the PCP model, which includes interventions aimed at improving medication adherence. The primary endpoint was the change in the proportion of adherent patients between pre-admission and after discharge for all regularly scheduled long-term medications, using the proportion of days covered (PDC). Secondary endpoints included the change on mean PDC for all long-term medications, number of long-term medications, proportion of patients with hyperpolypharmacy, medication regimen complexity index (MRCI) score, drug burden index (DBI) score, number of potential inappropriate prescribing (PIP), and proportion of patients with ≥ 2 PIPs.

RESULTS

Ninety-three non-institutionalized patients were included (mean age 83.0 ± SD 6.1 years). The proportion of adherent patients increased from 22.1 to 51.9% (P < 0.001). Intervention also improved mean PDC [mean difference (95% CI) 10.6 (7.7, 13.5)] and effective prescribing through a reduction on the number of long-term medications [- 1.3 (- 1.7, - 0.9)], proportion of patients exposed to hyperpolypharmacy (- 16.1%, P < 0.001), MRCI score [- 2.2 (- 3.4, - 1.0)], DBI score [- 0.16 (- 1.8, - 1.3)], number of PIPs [- 1.6 (- 1.8, - 1.3)], and proportion of patients with ≥ 2 PIPs (- 53.7%, P < 0.001).

CONCLUSION

Studied intervention provides significant effective prescribing and medication adherence enhancements in non-institutionalized older patients with multimorbidity and polypharmacy.

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.

Potentially inappropriate prescriptions and therapeutic complexity in older HIV patients with comorbidities

BACKGROUND

The prolonged current survival of human immunodeficiency virus (HIV) patients exposes them to new problems arising from the comorbidities they face.

OBJECTIVES

To describe the situation of comorbidities, polypharmacy, therapeutic complexity and adherence in people living with HIV over 65 years of age and to assess the presence of potentially inappropriate prescriptions (PIP) by applying deprescription criteria.

METHODS

Observational study including HIV people (> 65 years) from a university tertiary level hospital. Demographic, clinical and pharmacotherapeutic characteristics of the patients and their treatments were studied. The prevalence of polypharmacy (> 5 medications) and the pharmacotherapy complexity, quantified by the Medication Regimen Complexity Index (MRCI), were calculated. Therapeutic adherence was assessed by the Simplified Medication Adherence Questionnaire (SMAQ) and the medication possession ratio, according to prescription dispensing records. The Screening Tool of Older People's Prescriptions (STOPP) and List of Evidence-baSed depreScribing for CHRONic patients (LESS-CHRON) criteria were applied to identify PIP.

MAIN OUTCOME MEASURE

PIP in elderly people living with HIV.

RESULTS

Thirty patients were included, 73% of whom were men, with a median age of 71 years (IQR 67 - 76) and a median duration of infection of 17 years (IQR, 9 - 21). Seventy percent of the patients suffered from dyslipemia, 66.7% from hypertension, 43.3% from diabetes and 26.7% from mental health disorders. Seventy percent of the patients took more than 5 medications and 30% more than 10. The MRCI of concomitant medications was higher (18.3 points) than the MRCI of antiretroviral therapy (5.1 points), 66.7% of the studied population was classified as adherent. Finally, 70% of the patients present some PIP according to the STOPP or LESS-CHRON criteria. The polypharmacy was significantly associated (p = 0.008) with meeting deprescription criteria.

CONCLUSION

The elderly people living with HIV present numerous comorbidities and met the criteria for polypharmacy. Their pharmacotherapy complexity is mainly determined by the concomitant treatments. There is a high prevalence of meeting deprescription criteria in people living with HIV over the age of 65 and a clear relationship between polypharmacy and deprescription. The optimization of pharmacotherapy is necessary in this population.

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.

Medication regimen complexity on hospital admission in patients with advanced chronic conditions in need of palliative care

Objectives

To evaluate characteristics of the medication complexity, risk factors associated with high medication complexity and their clinical consequences in patients with advanced chronic conditions.

Methods

A 10-month cross-sectional study was performed in an acute-hospital care Geriatric Unit. Patients with advanced chronic conditions were identified by the NECPAL test. Medication complexity was established using the Medication Regimen Complexity Index (MRCI) tool. Demographic, pharmacological and clinical patient data were collected with the objective of determining risk factors related to high medication complexity. Measured clinical outcomes were hospital length of stay, destination on hospital discharge, in-hospital mortality and 2-year survival.

Results

Two hundred and thirty-five patients (mean age 86.8, SD 5.37; 65.5% female) were recruited. MRCI's mean score was 38 points (SD 16.54, rank: 2.00-98.50), with 57.9% of patients with high medication complexity (MRCI >35 points).

Multimorbidity and medication complexity: New challenges in heart transplantation

INTRODUCTION

Multimorbidity and therapeutic complexity are a recognized problem in the heart transplant (HTx) population. However, little is known about how best to quantify this complexity or the strategies that could reduce its burden.

METHODS

This single-center, observational study included adult heart transplant recipients (HTxR) >1.5 years from transplant. We assessed multimorbidity (>2 comorbidities) and the patient-level Medication Regimen Complexity Index Spanish version (pMRCI-S) score. We also analyzed the independent predictors of pMRCI-S and the impact of the index score on specific clinical variables.

RESULTS

We included 135 chronic-stage HTxR. Comorbidities significantly increased after HTx (6 ± 3 vs 2 ± 2, P-value < .001). Patients took 12 ± 3 chronic drugs/d, 58% of them to treat comorbidities. The mean total pMRCI-S score was 42 ± 11, higher than in several other chronic diseases. The medication category drugs to treat comorbidities predicted a higher total pMRCI-S score (OR = 3.12, 95% CI 2.8-3.43, P-value < .001). Therapeutic complexity after HTx had an impact on solid malignancies (OR = 1.1, 95% CI 1.02-1.18, P-value = .02) and renal function (OR=-0.81, 95% CI -1.21-(-0.42), P-value < .001).

CONCLUSIONS

The multimorbidity and pMRCI-S scores obtained in HTx population were worrisomely high. The pMRCI score is a sensitive method that allows identification of the factors determining therapeutic complexity after HTx and selection of strategies to reduce pMRCI-S values.

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 Measured by MRCI: A Systematic Review to Identify Health Outcomes

Objective: To perform a systematic review to identify health outcomes related to medication regimen complexity as measured by the Medication Regimen Complexity Index (MRCI) instrument. Data Sources: Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science were searched from January 1, 2004, until April 02, 2018, using the following search terms: outcome assessment, drug therapy, and Medication Regimen Complexity Index and their synonyms in different combinations. Study Selection and Data Extraction: Studies that used the MRCI instrument to measure medication regimen complexity and related it to clinical, humanistic, and/or economic outcomes were evaluated. Two reviewers independently carried out the analysis of the titles, abstracts, and complete texts according to the eligibility criteria, performed data extraction, and evaluated study quality. Data Synthesis: A total of 23 studies met the inclusion criteria; 18 health outcomes related to medication regimen complexity were found. The health outcomes most influenced by medication regimen complexity were hospital readmission, medication adherence, hospitalization, adverse drug events, and emergency sector visit. Only one study related medication regimen complexity with humanistic outcomes, and no study related medication regimen complexity to economic outcomes. Most of the studies were of good methodological quality. Relevance to Patient Care and Clinical Practice: Health care professionals should pay attention to medication regimen complexity of the patients because this may influence health outcomes. Conclusion: This study identified some health outcomes that may be influenced by medication regimen complexity: hospitalization, hospital readmission, and medication adherence were more prevalent, showing a significant association between MRCI increase and these health outcomes.