Patient-Level Medication Regimen Complexity Across Populations With Chronic Disease

Polypharmacy and medication regimen complexity in transfusion-dependent thalassaemia patients: a cross- sectional study

BACKGROUND

Medication burden and complexity have been longstanding problems in chronically ill patients. However, more data are needed on the extent and impact of medication burden and complexity in the transfusion-dependent thalassaemia population.

AIM

The aim of this study was to determine the characteristics of medication complexity and polypharmacy and determine their relationship with drug-related problems (DRP) and control of iron overload in transfusion-dependent thalassaemia patients.

METHOD

Data were derived from a cross-sectional observational study on characteristics of DRPs conducted at a Malaysian tertiary hospital. The medication regimen complexity index (MRCI) was determined using a validated tool, and polypharmacy was defined as the chronic use of five or more medications. The receiver operating characteristic curve analysis was used to determine the optimal cut-off value for MRCI, and logistic regression analysis was conducted.

RESULTS

The study enrolled 200 adult patients. The MRCI cut-off point was proposed to be 17.5 (Area Under Curve  =  0.722; sensitivity of 73.3% and specificity of 62.0%). Approximately 73% and 64.5% of the patients had polypharmacy and high MRCI, respectively. Findings indicated that DRP was a full mediator in the association between MRCI and iron overload.

CONCLUSION

Transfusion-dependent thalassaemia patients have high MRCI and suboptimal control of iron overload conditions in the presence of DRPs. Thus, future interventions should consider MRCI and DRP as factors in serum iron control.

Investigating the association between medication regimen complexity, medication adherence and treatment satisfaction among Malaysian older adult patients: a cross-sectional study

BACKGROUND

The prevalence of medication nonadherence among Malaysian older adults is approximately 60%. However, there is a lack of studies assessing the factors associated with medication nonadherence among this population. This research aims to explore the association between medication regimen complexity (MRC), treatment satisfaction and medication adherence among Malaysian older adults.

METHOD

A cross-sectional study was conducted in outpatient clinics of a teaching hospital in Pahang, Malaysia, between April 2023 and September 2023. MRC Index (MRCI), Treatment Satisfaction for Medication version II (TSQM v.II), and the Malaysian Medication Adherence Assessment Tool (MyMAAT) were used. Multivariate linear and logistic regression models were performed to test the factors affecting treatment satisfaction and medication adherence. Mediator analysis was implemented to assess the mediating role of treatment satisfaction.

RESULT

The study involved 429 Malaysian older adult patients, with a prevalence of nonadherence of 51.0% (n = 219) and an MRCI mean score of 17.37 (SD = 7.07). The mean overall treatment satisfaction score was 73.91 (SD = 15.23). Multivariate logistic regression analysis expressed four significant predictors associated with nonadherence: MRC (AOR = 1.179, p = 0.002), overall treatment satisfaction (AOR = 0.847, p < 0.001), partially self-managed medication (AOR = 2.675, p = 0.011) and fully managed medication by family members/caregivers (AOR = 8.436, p = 0.004). Multivariate linear regression shows three predictors of treatment satisfaction: MRC (β = -1.395, p < 0.001), Charlson Comorbidity Index (CCI) (β = -0.746, p = 0.009) and self-managed medication (β = 5.554, p = 0.006). Mediator analysis indicated that treatment satisfaction partially mediated the association between MRC and nonadherence.

CONCLUSION

Nonadherence was quite prevalent among Malaysian older outpatients and was associated with regimen complexity, treatment satisfaction and patient dependence on others to manage their medications. Future studies should focus on interventions to control the factors that negatively affect patients' medication adherence.

Long-Term Effect of Systemic Comorbidity on Glaucoma Medication Adherence

PURPOSE

To determine whether systemic comorbidity is associated with reduced adherence to glaucoma medication and whether this decrease varies according to the number of comorbidity and the time after glaucoma onset.

DESIGN

Cohort study.

METHODS

Setting: Population-based.

STUDY POPULATION

All patients with confirmed newly diagnosed glaucoma in one or both eyes were identified using National Health Insurance (NHI) claims data from Taiwan.

OBSERVATION PROCEDURE

Individuals with newly diagnosed glaucoma were followed up for 5 years from onset. The study period was from January 1, 2011, to December, 31, 2020. Patient comorbidities were identified using the Deyo-Charlson Comorbidity Index. Adherence was measured using the medication possession ratio (MPR). The MPR was calculated by dividing the total number of days a patient had a supply of glaucoma medication by 365. Data for the MPR were extracted from NHI outpatient and drug records.

RESULTS

This study included a total of 50 408 patients. Compared with patients without comorbidity, patients with at least 1 comorbidity exhibited higher MPR in the first 2 years following glaucoma onset. However, their MPR decreased in the long term, specifically in the fourth and fifth years after onset. Additionally, the degree of nonadherence increased with the number of comorbidities. Patients with ≥4 comorbidities had significantly lower glaucoma medication adherence, with reductions of 6.4% (P = .033) and 11.8% (P < .001) in the fourth and fifth years after glaucoma onset, respectively.

CONCLUSION

The presence of comorbidity can reduce glaucoma medication adherence by up to 12% in the long term. More comorbidities may increase the burden of managing chronic diseases; as a result, treatment for glaucoma may not receive priority due to the absence of clear symptoms of the condition.

Pharmacist-led telehealth deprescribing for people living with dementia and polypharmacy in primary care: A pilot study

BACKGROUND

People living with dementia (PLWD) have complex medication regimens, exposing them to increased risk of harm. Pragmatic deprescribing strategies that align with patient-care partner goals are needed.

METHODS

A pilot study of a pharmacist-led intervention to optimize medications with patient-care partner priorities, ran May 2021-2022 at two health systems. PLWD with ≥7 medications in primary care and a care partner were enrolled. After an introductory mailing, dyads were randomized to a pharmacist telehealth intervention immediately (intervention) or delayed by 3 months (control). Feasibility outcomes were enrollment, intervention completion, pharmacist time, and primary care provider (PCP) acceptance of recommendations. To refine pragmatic data collection protocols, we assessed the Medication Regimen Complexity Index (MRCI; primary efficacy outcome) and the Family Caregiver Medication Administration Hassles Scale (FCMAHS).

RESULTS

69 dyads enrolled; 27 of 34 (79%) randomized to intervention and 28 of 35 (80%) randomized to control completed the intervention. Most visits (93%) took more than 20 min and required multiple follow-up interactions (62%). PCPs responded to 82% of the pharmacists' first messages and agreed with 98% of recommendations. At 3 months, 22 (81%) patients in the intervention and 14 (50%) in the control had ≥1 medication discontinued; 21 (78%) and 12 (43%), respectively, had ≥1 new medication added. The mean number of medications decreased by 0.6 (3.4) in the intervention and 0.2 (1.7) in the control, reflecting a non-clinically meaningful 1.0 (±12.4) point reduction in the MRCI among intervention patients and a 1.2 (±12.9) point increase among control. FCMAHS scores decreased by 3.3 (±18.8) points in the intervention and 2.5 (±14.4) points in the control.

CONCLUSION

Though complex, pharmacist-led telehealth deprescribing is feasible and may reduce medication burden in PLWD. To align with patient-care partner goals, pharmacists recommended deprescribing and prescribing. If scalable, such interventions may optimize goal-concordant care for PLWD.

Effect of Multi-Dose Dispensing on Medication Regimen Complexity: A Real-World Study

(1) Background: Older patients frequently require dosing aids, such as multi-dose medication dispensing (MMD) when they experience medication regimen complexity (MRC) with increased drug use. However, the evaluations of the efficacy of MMD alterations remain limited. (2) Methods: A total of 1120 patients were included in the study who were discharged from hospital during the study period of January to March 2019. The Medication Regimen Complexity Index (MRCI) score, a validated 65-item tool in Korea (MRCI-K), was used to quantify MRC. The original MRCI-K scores, representing the typical administration based on prescription information, were compared to recalculated MRCI-K scores measured following MMD during the hospital dispensing period. Differences in MRCI-K across the top four wards based on the numbers of discharge prescription medications were assessed, and the overall scores were categorized into quartiles to identify MMD's impact within each group. We confirmed the effect of MMD based on the patient's admission diagnosis depending on MRCI. (3) Results: The mean (standard deviation) of original MRCI scores was 26.2 (13.4), which decreased to 18.9 (8.8) after applying MMD. The decrease in MRCI scores after MMD was statistically significant in all four wards, with the Orthopedic Surgery ward showing the biggest decrease. The patients with MRCI scores in the highest quartile group demonstrated the greatest improvement as a result of the implementation of MMD. Respiratory diseases exhibited the highest baseline MRCI scores due to formulation complexity, and ear, nose, and throat patients demonstrated the most significant reduction in MRC after MMD, depending on the diagnostic criteria at administration. (4) Conclusions: We confirmed the reduction in MRC after applying MMD, as a significant decrease in MRCI-K scores. This study highlights the need to deliver effective pharmacist-led services to identify patients who would benefit from MMD.

Assessment of drug utilization and potentially inappropriate medications in hemodialysis patients with end-stage renal dysfunction: A study in a tertiary care hospital in Bahrain

BACKGROUND

Patients undergoing dialysis pose therapeutic challenges in terms of polypharmacy, administration of potentially inappropriate drugs, and drugs with the potential risk of toxicity.

OBJECTIVE

This study evaluated the use of drugs, potentially inappropriate medicines (PIM), drugs with risk of Torsades de Pointes (TdP), and the complexity of the prescribed regimen using the medication regimen complexity index scale in patients undergoing hemodialysis.

METHODS

A retrospective cohort study was carried out amongst patients receiving hemodialysis. Drugs were classified into one of four classes: (i) drugs used in managing renal complications, (ii) cardiovascular drugs, (iii) anti-diabetic drugs, (iv) drugs for symptomatic management, and (v) others. Drugs were considered as PIM according to the Can-SOLVE CKD working group from a network of Canadian nephrology health professionals. The study adhered to the CredibleMeds classification of drugs with known, possible, and conditional risk of TdP and the complexity of prescribed medicines was evaluated based on the pre-validated medication regimen complexity index scale based on form/route, frequency of dosing, and requirement of special instructions.

RESULTS

Sixty-three participants were included in the study (49 males and 14 females) with the median (range) age of 45 (21-66) years. Cardiovascular drugs followed by drugs used for managing renal complications were the most common classes administered. Notably, 12 (19.1%) patients received one of the non-steroidal anti-inflammatory drugs, 21 (33.3%) received a proton pump inhibitor, three (4.8%) received pregabalin, two (3.2%) received opioid drugs, and one (1.6%) was administered celecoxib. Atorvastatin, furosemide, omeprazole, and allopurinol were the most common PIM drugs administered to the study participants followed by others. Drugs used for symptomatic management had significantly more PIM compared to other classes (p < 0.0001). Six (9.5%) patients received drugs with known TdP risk, one with possible TdP risk, and 61 with conditional risk. Median (range) medical regimen complexity index score was 26.5 (2-62.5).

CONCLUSION

A huge burden of drug therapy was observed in the hemodialysis patients in terms of higher proportions of PIM, complex medical regimen, and prescription of drugs with risk of TdP. Implementation of clinical decision support tools enhancing rational prescription and identification of drugs with TdP risk, introducing antimicrobial stewardship, and stepwise deprescription of the drugs with the least benefit-risk ratio are warranted.

Identifying Implementation Factors for the Development, Operation, and Sustainment of Ambulatory Care Pharmacy Programs: a Qualitative Study

BACKGROUND

Pharmacist-led programs and clinics have been integrated into primary and specialty care clinics in a variety of ways, for example, to improve diabetes outcomes via patient education and counseling. However, factors important to the implementation of different outpatient pharmacy models have not been well elucidated.

OBJECTIVE

To identify provider- and health system-level drivers of implementation and sustainability of pharmacy-led programs in the outpatient setting.

DESIGN

Qualitative study of key informants using semi-structured interviews of individuals working in various roles throughout a large health system, including ambulatory clinical pharmacists, pharmacy managers, medical directors and physician leaders, and operations and quality managers.

PARTICIPANTS

Key informants (n=19) with leadership roles in pharmacy programs and front-line experience providing integrated pharmacy care were selected purposively and with snowball sampling.

APPROACH

We coded the interviews using a codebook derived from the 2022 Consolidated Framework for Implementation Research (CFIR), which details various internal and external factors important for implementation.

KEY RESULTS

We identified the following themes related to implementing ambulatory care pharmacy programs: (1) pharmacy programs varied in their level of embeddedness in the outpatient clinic, (2) establishing pharmacy program required leadership advocacy and coordination among stakeholders, (3) continued operations required integrated workflows and demonstrated value to the health system and clinicians, and (4) established revenue streams or added indirect value and continued improvement of integration sustained programs over time.

CONCLUSIONS

External policies and incentives such as new reimbursement codes and quality measurement programs that rely on pharmacy input play a significant role in shaping the design, implementation, and sustainability of health system outpatient pharmacy programs. Ensuring that quality metrics used in value-based contracts or programs demonstrate pharmacy benefits will be critical to supporting and growing pharmacy programs.

Is polypharmacy associated with difficulty taking medicines in people aged ≥85 living at home? Findings from the Newcastle 85+ Study

It is unclear whether polypharmacy is associated with difficulty taking medications amongst people aged ≥85 living at home. This is despite the projected decline in availability of family carers, who may support independent living. Using Newcastle 85+ Study data and mixed-effects modelling, we investigated the association between polypharmacy and difficulty taking medications amongst 85-year-olds living at home, over a 10-year time period. Polypharmacy was not associated with difficulty taking medications as either a continuous (OR = 0.99 [0.91-1.08]) or categorical variable (5-9 medications, OR = 0.69 [0.34-1.41]; ≥10 medications, OR = 0.85 [0.34-2.07]). The significant predictors included disability, visual impairment and cognitive impairment. Our results suggest that people aged ≥85 living at home with disability, visual impairment and/or cognitive impairment will have difficulty taking their medications, regardless of how many they are prescribed. Therefore, healthcare professionals should routinely ask about, assess and address problems that these patient groups may have with taking their medicines, independent of the number of drugs taken.

Effect of Pharmacy Involvement in Transitions of Care for Children With Medical Complexity

OBJECTIVE

The purpose of this study is to evaluate the effects of pharmacy integration into care transitions for children with medical complexity. These children are at a higher risk for medication errors and adverse effects because of their complex medication regimens. In addition, care transitions increase the risk for medication errors, especially during hospital-to-home transitions.

METHODS

This was a retrospective chart review of patients enrolled in a complex care clinic who were discharged between September 1, 2021, and December 31, 2021, and who had received a discharge medication evaluation. Intervention categories were predetermined (medication reconciliation and clinical interventions) and documented. The primary outcome was to quantify and characterize the types of interventions made by the pharmacist. Descriptive statistics were used for data analysis. Continuous data were analyzed using Wilcoxon rank sum test, and correlation was measured using Spearman correlation values.

RESULTS

A total of 92 clinic encounters for 60 patients were included, with a median patient age of 7 years (IQR, 5-12.3), median length of stay of 3.2 days (IQR, 1.2-5.7), and a median number of 18 discharge medications (IQR, 14.8-25). A total of 283 interventions were made, consisting of 192 (68%) clinical interventions and 91 (32%) medication reconciliation interventions. In addition, 82 (89%) of the clinic encounters had at least one pharmacist intervention.

CONCLUSIONS

Pharmacist evaluation of a patient's discharge medication regimen clarifies and better optimizes the patient's medication regimen.

Assessment of Medication Regimen Complexity of COPD Regimens in Individuals Visiting Community Pharmacies

Purpose

Non-adherence is common and linked to poor COPD outcomes. Medication Regimen Complexity Index (MRCI) scores affect other disease outcomes. Little is known about the implications of MRCI scores in COPD. Secondary analysis was done to calculate MRCI scores assessing relationship to symptoms, COPD severity and health literacy (HL) to identify potential interventions to optimize adherence.

Patients and Methods

Secondary analysis was conducted of cross-sectional, non-randomized survey data. Participants with self-reported COPD completed a survey of demographics, exacerbations, symptoms (COPD Assessment Test (CAT)), and self-reported COPD regimens. COPD severity was classified into Global Initiative for Chronic Obstructive Lung Disease (GOLD) ABCD categories using exacerbation history and CAT. CAT scores were categorized as low (<10), high (>10) and very high (>20). A 1-year proportion of days covered (PDC) was calculated. A MRCI calculator scored regimens (primary endpoint). Published cut-off points were used to categorize MRCIs as low (≤4), medium (5-8) and high (>8) and inhaled device polypharmacy (IDP) as ≥3 devices. Risk for low HL was assessed using a Single Item Literacy Screener. Descriptive and Chi-squared statistics were used.

Results

Participants' (N = 709) PDC for 1 maintenance medicine averaged 0.43 ± 0.37; 28.7% were adherent (PDC ≥ 80%). CAT scores were very high in 54.6% and high in 35.8%. Distribution of GOLD categories were A (6%), B (35%), C (4%) and D (55%). High, medium and low MRCI were 85%, 14% and 9%, respectively. Mean devices per regimen was 2.05 ± 0.8; IDP was 28%. MRCI and IDP increased with worsening CAT scores and COPD severity per GOLD category (p<0.05), but not low HL.

Conclusion

MRCI scores for COPD regimens increased with COPD severity and symptoms. Overall adherence was low despite high symptom scores; high MRCI scores could contribute. All COPD medication classes are available in multiple devices, combinations, and daily formulations; there is potential to simplify regimens. Prospective studies are needed to evaluate if interventions minimizing MRCI scores improve adherence and COPD outcomes.

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.

Updated strategies for the management of poor medication adherence in patients with bipolar disorder

INTRODUCTION

Suboptimal adherence is a well-established, pervasive problem in individuals with bipolar disorder (BD) causing disability, suffering, and cost.

AREAS COVERED

This review covers new research since January 2016 regarding internal (patient-centered) and external (system level) barriers and facilitators to adherence. Measures of adherence, the efficacy of psychosocial adherence enhancement interventions in individuals with BD, and, finally, novel delivery systems for BD medication are also covered. Measures of adherence continue to fall broadly into objective measures (i.e. drug levels) and more subjective, self-report measures and a combination of these likely provides the most comprehensive picture. Efficacious components of psychosocial adherence enhancement interventions include psychoeducation, motivational interviewing, and cognitive behavioral strategies, yet methods for delivery vary. Long-acting injectable (LAI) medications for BD are the drug delivery system with the most promise for BD. Combining psychosocial components with novel drug delivery systems has the potential for establishing and maintaining medication adherence.

EXPERT OPINION

Psychosocial interventions improve adherence in individuals with BD. Psychoeducation is a necessary but not sufficient component in psychosocial interventions. LAIs should be considered earlier for adherence improvement than many treatment guidelines currently suggest. Comparative studies are lacking as is research into novel systems of medication delivery.

Drug-related problems among transfusion-dependent thalassemia patients: A real-world evidence study

Introduction: Thalassemia is among the most common genetic disorders globally and many patients suffer from iron overload (IOL) complications that mainly affect the heart, liver and endocrine system. These events may be further complicated by drug-related problems (DRP), an inherent issue among patients with chronic diseases. Objective: The study aimed to evaluate the burden, associated factors and impacts of DRP in transfusion-dependent thalassemia (TDT) patients. Method: Eligible TDT patients under follow-up in a tertiary hospital between 01 March 2020 to 30 April 2021 were interviewed and their medical records were reviewed retrospectively to identify any DRP. DRPs were classified using the Pharmaceutical Care Network Europe (PCNE) classification version 9.1. The incidence and preventability of DRP were assessed and the associated risk factors were estimated by univariate and multivariate logistic regression. Results: A total of 200 patients were enrolled with a median (interquartile range: IQR) age of 28 years at enrolment. Approximately 1 in 2 patients were observed to suffer from thalassemia-related complications. Throughout the study period, 308 DRPs were identified among 150 (75%) participants, with a median DRP per participant of 2.0 (IQR 1.0-3.0). Of the three DRP dimensions, treatment effectiveness was the most common DRP (55.8%) followed by treatment safety (39.6%) and other DRP (4.6%). The median serum ferritin level was statistically higher in patients with DRP compared with patients without DRP (3833.02 vs. 1104.98 μg/L, p < 0.001). Three risk factors were found to be significantly associated with the presence of DRP. Patients with frequent blood transfusion, moderate to high Medication Complexity Index (MRCI) and of Malay ethnicity were associated with higher odds of having a DRP (AOR 4.09, 95% CI: 1.83, 9.15; AOR 4.50, 95% CI: 1.89, 10.75; and AOR 3.26, 95% CI: 1.43, 7.43, respectively). Conclusion: The prevalence of DRP was relatively high amongst TDT patients. Increased medication complexity, more severe form of the disease and Malay patients were more likely to experience DRP. Hence, more viable interventions targeted to these groups of patients should be undertaken to mitigate the risk of DRP and achieve better treatment outcomes.

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.

Medication Complexity Among Older Adults with HF: How Can We Assess Better?

Medical management of heart failure (HF) has evolved and has achieved significant survival benefits, resulting in highly complex medication regimens. Complex medication regimens create challenges for older adults, including nonadherence and increased adverse drug events, especially associated with cognitive impairment, physical limitations, or lack of social support. However, the association between medication complexity and patients' health outcomes among older adults with HF is unclear. The purpose of this review is to address how the complexity of HF medications has been assessed in the literature and what clinical outcomes are associated with medication regimen complexity in HF. Further, we aimed to explore how older adults were represented in those studies. The Medication Regimen Complexity Index was the most commonly used tool for assessment of medication regimen complexity. Rehospitalization was most frequently assessed as the clinical outcome, and other studies used medication adherence, quality of life, healthcare utilization, healthcare cost, or side effect. However, the studies showed inconsistent results in the association between the medication regimen complexity and clinical outcomes. We also identified an extremely small number of studies that focused on older adults. Notably, current medication regimen complexity tools did not consider a complicated clinical condition of an older adult with multimorbidity, therapeutic competition, drug interactions, or altered tolerance to the usual dose strength of the medications. Furthermore, the outcomes that studies assessed were rarely comprehensive or patient centered. More studies are required to fill the knowledge gap identifying more comprehensive and accurate medication regimen complexity tools and more patient-centered outcome assessment.

Identifying opportunities for pediatric medication therapy management in children with medical complexity

BACKGROUND

Despite potential benefits of medication therapy management (MTM) for complex pediatric patients, implementation of pediatric MTM services is rare.

OBJECTIVES

To describe how a standardized pediatric MTM model identifies potential interventions and their impact on medication regimen complexity index (MRCI) scores in children with medical complexity (CMC) and polypharmacy.

METHODS

This retrospective proof-of-concept study included pediatric patients receiving primary care in a large outpatient primary care medical home for CMC within a tertiary freestanding children's hospital from August 2020 to July 2021. Medication profiles of established patients aged 0-18 years with at least 5 active medications at the time of the index visit were assessed for medication-related concerns, potential interventions, and potential impact of proposed interventions on MRCI scores.

RESULTS

Among 100 patients, an average of 3.4 ± 2.6 medication-related concerns was identified using the pediatric MTM model. Common medication-related concerns (>25% of patients) included inappropriate or unnecessary therapy, suboptimal therapy, undertreated symptom, adverse effect, clinically impactful drug-drug interaction, or duplication of therapy. A total of 97% had opportunities for 5.0 ± 2.9 potential interventions. Most common proposed interventions included drug discontinuation trial (69%), patient or caregiver education (55%), dosage form modification (51%), dose modification (49%), and frequency modification (46%). The mean baseline MRCI score was 32.6 (95% CI 29.3-35.8) among all patients. MRCI scores decreased by a mean of 4.9 (95% CI 3.8-5.9) after application of the theoretical interventions (P < 0.001). Mean potential score reduction was not significantly affected by patient age or number of complex chronic conditions. Potential impact of the proposed interventions on MRCI score was significantly greater in patients with higher baseline medication counts (P < 0.001).

CONCLUSION

Most CMC would likely benefit from a pharmacist-guided pediatric MTM service. A standardized review of active medication regimens identified multiple medication-related concerns and potential interventions for nearly all patients. Proposed medication interventions would significantly reduce medication regimen complexity as measured by MRCI. Further prospective evaluation of a pharmacist-guided pediatric MTM service is warranted.

Cumulative tenofovir diphosphate exposure in persons with HIV taking single- vs. multiple-tablet regimens

BACKGROUND

We assessed cumulative antiretroviral exposure-using tenofovir diphosphate (TFV-DP) in dried blood spots (DBS)-in persons with HIV (PWH) receiving tenofovir disoproxil fumarate (TDF)-based antiretroviral therapy (ART) as single-tablet regimens (STR) or multiple-tablet regimens (MTR).

METHODS

Blood for DBS was prospectively collected in PWH on TDF during 1144 person visits (n = 523). Linear mixed-effects models, adjusted for baseline characteristics, were used to compare TFV-DP in STR versus MTR. Models adjusted for ART regimen using either anchor drug class, pharmacokinetic booster status (unboosted [u/] or boosted [b/]), or a combined STR/MTR and booster categorical variable.

RESULTS

In the anchor class-adjusted model, STR had 19% (95% confidence interval [CI]: 3%-37%; p = 0.02) higher TFV-DP concentrations than MTR. However, in the booster-adjusted model, STR was not significantly higher than MTR (estimate 5%, 95% CI: -9% to 21%; p = 0.48), although PWH on b/ART had 35% (95% CI: 16%-58%; p = 0.0001) higher TFV-DP than u/ART. In the STR/MTR-boosted variable model, when compared to u/MTR, b/STR, b/MTR, and u/STR had 25% (95% CI: 7%-47%; p = 0.005), 37% (95% CI: 17%-59%; p < 0.0001), and 7% (95% CI: -7% to 24%; p = 0.34) higher TFV-DP, respectively. Compared with b/MTR, b/STR had 9% (95% CI: -31% to 10%; p = 0.37) lower TFV-DP. In a sensitivity analysis of PWH with HIV viral load <20 copies/ml at all visits, b/STR and b/MTR had 34% (95% CI: 16%-55%; p < 0.0001) and 12% (95% CI: -2% to 27%; p = 0.09) higher TFV-DP, respectively, compared with u/MTR, while u/STR had 4% (95% CI: -15% to 8%; p = 0.50) lower TFV-DP. Compared with b/MTR, b/STR had 17% (95% CI: 2%-30%; p = 0.03) higher TFV-DP.

CONCLUSIONS

Persons with HIV on b/TDF-based ART had higher TFV-DP than u/ART, regardless of STR or MTR use. No significant differences in TFV-DP between regimens of the same boosting status (i.e., b/STR vs. b/MTR; u/STR vs. u/MTR) were observed in the full cohort. Future research should examine the clinical utility of these findings in patient-tailored ART selection.

Medication Regimen Complexity and Medication Burden Among Patients With Type 2 Diabetes Mellitus: A Retrospective Analysis

Introduction: Most type 2 diabetes mellitus (T2DM) patients with chronic conditions require multiple medications to achieve and maintain good glycemic control. Objective: This study assessed medication burden, regimen complexity, and adherence among T2DM patients and evaluate its association with glycemic control. Method: We analyzed data of 2,696 T2DM patients at public health clinics in Malaysia from January 2018 until May 2019. Medication burden was based on medication count, regimen complexity was measured using the validated Medication Regimen Complexity Index (MRCI) tool, and adherence was measured using proportion of days covered (PDC) formula. Logistic regression models were used to compute unadjusted and adjusted odds ratio (aOR) with 95% confidence interval (CI) for association between the medication parameters and glycemic control (HbA1c ≤ 7.0%) over a 90-day period. Results: The cohort mean age was 60.4 years old (±10.8) and 62.9% were female. Overall, the average medication count was 4.8 with MRCI score of 15.1. Mean adherence score (PDC) was 90%. High medication count and MRCI scores were associated with lower odds of achieving good glycemic control (aOR 0.88; 95% CI 0.82, 0.94 and aOR 0.89; 95% CI 0.87, 0.92, respectively) while inverse association was observed between adherence and HbA1c level (aOR 2.7, 95% CI 1.66, 5.19). Similar findings were observed for diabetes-specific measures. Conclusions: High medication count, high regimen complexity, and low medication adherence were associated with poor glycemic control over the 3-month follow-up period. These parameters could be used to identify patients with complex pharmacotherapy regimens so that targets for intervention can be taken to achieve optimum outcomes and ease of self-care.

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.

Multivariate optimization and evaluation of quaternary mixture in bulk and co-formulated dosage forms by central composite design

Background

The current study describes the use of central composite design for multivariate optimization of resolution and retention time, taking into account different critical method parameters like organic phase, pH, flow rate, and wavelength for risk assessment. The chromatographic method for the assay of the most effective anti-viral regimen (EPCLUSA, DARVONI, and HARVONI) was developed. An experimental design was presented by sequential investigation of four independent parameters. The method was developed using XTERRA C18 (250 mm × 4.6 mm, 5 μm particle size) column in isocratic mode using potassium dihydrogen phosphate buffer (pH adjusted to 5) and acetonitrile (50:50 % v/v) as mobile phase at a flow rate of 1.0 ml/min and UV detection wavelength of 260 nm.

Results

The separation of four drugs with fine resolution and preferable retention times was achieved. Retention times of four drugs were found to be 2.96, 3.91, 7.15, and 11.94 min for daclatasvir, sofosbuvir, velpatasvir, and ledipasvir, respectively. The percentage accuracy of labelled claim was in the range of 99–102%, and the pooled %RSD for repeatability, precision, and accuracy was less than 2%.

Conclusion

The suggested method was applied for quantification and identification of studied drugs in tablets; the results agreed with the label claim and were validated according to the ICH guidelines. The optimized method can be used for pharmacokinetic and quality control studies.

Medication Discrepancies and Regimen Complexity in Decompensated Cirrhosis: Implications for Medication Safety

Discrepancies between the medicines consumed by patients and those documented in the medical record can affect medication safety. We aimed to characterize medication discrepancies and medication regimen complexity over time in a cohort of outpatients with decompensated cirrhosis, and evaluate the impact of pharmacist-led intervention on discrepancies and patient outcomes. In a randomized-controlled trial (n = 57 intervention and n = 57 usual care participants), medication reconciliation and patient-oriented education delivered over a six-month period was associated with a 45% reduction in the incidence rate of 'high' risk discrepancies (IRR = 0.55, 95%CI = 0.31-0.96) compared to usual care. For each additional 'high' risk discrepancy at baseline, the odds of having ≥ 1 unplanned medication-related admission during a 12-month follow-up period increased by 25% (adj-OR = 1.25, 95%CI = 0.97-1.63) independently of the Child-Pugh score and a history of variceal bleeding. Among participants with complete follow-up, intervention patients were 3-fold less likely to have an unplanned medication-related admission (adj-OR = 0.27, 95%CI = 0.07-0.97) compared to usual care. There was no association between medication discrepancies and mortality. Medication regimen complexity, frequent changes to the regimen and hepatic encephalopathy were associated with discrepancies. Medication reconciliation may improve medication safety by facilitating communication between patients and clinicians about 'current' therapies and identifying potentially inappropriate medicines that may lead to harm.

Impact of sertraline daily treatment regimen on adherence, persistence and healthcare resource utilisation in patients with major depressive disorder or obsessive-compulsive disorder: A real-world evidence analysis from the United States

OBJECTIVE

To generate real-world evidence (RWE) from the United States to assess the impact of pill burden and the importance of achieving a stable daily dose of sertraline (time taken, number of dose adjustments needed) on adherence/persistence and healthcare resource utilisation (HCRU).

METHODS

Retrospective analysis of the PharMetrics^® Plus database (1 October 2012 to 31 March 2020) in the United States. Eligible patients had major depressive disorder (MDD) or obsessive-compulsive disorder (OCD) and ≥1 claim for sertraline during index period (1 April 2013 to 31 March 2019, allowing 6-months prior, 1-year post-index follow-up). Patients who achieved stable daily dose of sertraline (>90 days on same dose) were categorised into five cohorts, depending on pill burden/daily dose: Cohort (1): 1 × 50 mg/d; Cohort (2): 1 × 100 mg/d; Cohort (3): 2 × 50 mg/d; Cohort (4): 1.5 × 100 mg/d; Cohort (5): 3 × 50 mg/d. Impact of pill burden on adherence/persistence and HCRU was assessed among cohorts using logistic regression analysis, and between patients who did vs did not stabilise on therapy. P < .05 was considered significant for all analyses.

RESULTS

Of 224 412 eligible patients, 108 729 stabilised on sertraline (50, 100 or 150 mg/d) and formed Cohorts 1-5. Stabilised patients on lower pill burden had statistically higher adherence and were more likely to remain persistent throughout 1-year post-index period vs patients on higher pill burden but same overall dose (100 mg/d [Cohort 2 vs 3] and 150 mg/d [Cohort 4 vs 5], respectively). Patients who did not stabilise had significantly lower adherence/persistence vs patients who achieved stable daily dose (Cohorts 1-5 combined). Persistence improved when stable daily dose was achieved quickly (within 1-4 months) and efficiently (within 1-3 dose adjustments). Probability of HCRU increased for patients who did not stabilise on their initial prescription.

CONCLUSION

Simplifying treatment regimen and decreasing pill burden improved adherence and/or persistence with sertraline therapy (100 or 150 mg/d). Patients achieving stable daily dose of sertraline in an efficient and timely manner were more likely to remain persistent throughout 1-year follow-up.

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.

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.

A patient-centred approach to deprescribing antiretroviral therapy in people living with HIV

Only a few studies have explored the benefit of deprescribing in people living with HIV (PLWH), focusing on the discontinuation of non-antiretrovirals (non-ARVs) used for HIV-associated comorbidities (co-medications), or the management of drug-drug interactions (DDIs) between ARVs or between ARVs and co-medications. The availability of modern single-tablet regimens, two-drug regimens and long-acting therapy opens a discussion regarding ARV deprescribing strategies. The objective of this article is to discuss ARV deprescribing strategies in the context of medication-related burden and patients' lived experience with medicine (PLEM) and to suggest indications for whom, when, how and why to consider these ARV options in PLWH. A PLEM construct helps to better interpret these strategies and provides a patient-centred precision-medicine approach. There are several safe and virologically effective ARV deprescribing strategies, but the ultimate benefits of these interventions still need to be further explored in terms of the overall health and quality of life of patients.

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.

Association of Medication Regimen Complexity With Clinical Endpoints in Pediatric Patients With Cystic Fibrosis

OBJECTIVE

Cystic fibrosis (CF) patients and caregivers are impacted by the number of pharmacological agents and unique administration needs; however, no data currently assesses how medication regimen complexity impacts clinical outcomes in this population. The objective of this study is to evaluate if an association exists between increased medication regimen complexity and clinical endpoints in pediatric patients with CF.

METHODS

This retrospective analysis included all pediatric patients with CF (ages 5-20 years) with at least 2 pharmacist encounters and acceptable pulmonary function tests at our pediatric pulmonary clinic during 2017. Each patient's medication regimen was scored using the validated Medication Regimen Complexity Index (MRCI) tool. The primary outcome was the correlation between MRCI score and lung function. Secondary endpoints included growth, number of infections requiring antibiotics, and hospitalizations.

RESULTS

MRCI scores of the 113 included patients ranged from 2 to 101 points. A negative correlation was found between initial and final MRCI score and initial and final forced expiratory volume in 1 second (FEV₁; r = -0.323, p = 0.0005 and r = -0.287, p = 0.0021, respectively). MRCI scores were negatively correlated with BMI percentile for both encounters (r = -0.162 and r = -0.125) but were not significant. Higher MRCI scores were associated with increased use of oral and intravenous antibiotics and hospital admissions.

CONCLUSIONS

Higher MRCI scores are correlated with a significant decrease in FEV1, increased need for antibiotic therapy, and more hospital admissions in pediatric patients with CF. Larger studies are needed to determine if a correlation exists between MRCI score and growth.

Medication regimen complexity of coronary artery disease patients

Objective:

To determine the factors associated with the high complexity of medication regimen in patients with coronary artery disease.

Methods:

A cross-sectional study was carried out in a multiprofessional cardiology outpatient clinic, in the Secondary Care of the Unified Health System, where sociodemographic (age, sex, and education), clinical (number of health conditions, cardiovascular diagnoses, and comorbidities) and pharmacotherapeutic (adherence, polypharmacy, and cardiovascular polypharmacy) characteristics were collected. These were related to complexity of medication regimen, measured through the medication regimen complexity index. The classification of high complexity of medication regimen was carried out using standardization for the older adults and stratification for adult patients, as suggested in the literature.

Results:

The total complexity medication regimen of 148 patients had a median of 17.0 (interquartile range of 10.5). In the univariate analysis, the factors associated with high complexity were heart failure, diabetes mellitus, hypertension, five or more diseases, and non-adherence to treatment. In the final model, after logistic regression, there was a statistically significant association (p<0.05) with the variables diabetes mellitus, hypertension, and non-adherence.

Conclusion:

The high complexity of medication regimen in patients with coronary artery disease was associated with the presence of diabetes mellitus, hypertension, and reports of non-adherence to treatment.

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events

While the clinical approval process is able to filter out medications whose utility does not offset their adverse drug reaction profile in humans, it is not well suited to characterizing lower frequency issues and idiosyncratic multi-drug interactions that can happen in real world diverse patient populations. With a growing abundance of real-world evidence databases containing hundreds of thousands of patient records, it is now feasible to build machine learning models that incorporate individual patient information to provide personalized adverse event predictions. In this study, we build models that integrate patient specific demographic, clinical, and genetic features (when available) with drug structure to predict adverse drug reactions. We develop an extensible graph convolutional approach to be able to integrate molecular effects from the variable number of medications a typical patient may be taking. Our model outperforms standard machine learning methods at the tasks of predicting hospitalization and death in the UK Biobank dataset yielding an R² of 0.37 and an AUC of 0.90, respectively. We believe our model has potential for evaluating new therapeutic compounds for individualized toxicities in real world diverse populations. It can also be used to prioritize medications when there are multiple options being considered for treatment.

Research priorities to address polypharmacy in older adults with cancer

Polypharmacy poses a significant public health problem that disproportionately affects older adults (≥65 years) since this population represents the largest consumers of medications. Clinicians caring for older adults with cancer must rely on evidence to understand polypharmacy and its implications, not only to communicate with patients and other healthcare providers, but also because of the significant interplay between polypharmacy, cancer, cancer-related treatment, and clinical outcomes. Interest in polypharmacy is rising because of its prevalence, the origins and facilitating factors behind it, and the direct and indirect clinical outcomes associated with it. The growing body of publications focused on polypharmacy in older adults with cancer demonstrates that this is a significant area of research; however, limited evidence exists to guide medication use (e.g., prescribing, administration) in this population. Currently, research priorities aimed at polypharmacy in the field of geriatric oncology lack clarity. We identified current gaps in the literature in order to establish research priorities for polypharmacy in older adults with cancer. The five research priorities-Polypharmacy Methodology and Definitions, Suboptimal Medication Use, Comorbidities and Geriatric Syndromes, Underrepresented Groups, and Polypharmacy Interventions-highlight critical areas for future research to improve outcomes for older adults with cancer.

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.

Evaluation of Changes Over Time in the Drug Burden and Medication Regimen Complexity in ESRD Patients Before and After Renal Transplantation

BACKGROUND

Medication regimen complexity (MRC) has not been characterized in detail in patients with end-stage renal disease (ESRD). The objective of the present study was to quantify changes over time in the prescription drug burden and MRC in patients with ESRD (before transplantation, on discharge after kidney transplantation [M0], and 4 months [M4] and 12 months [M12] afterward).

METHODS

We retrospectively studied adult patients having undergone kidney transplantation. The number and types of drug prescribed, the pill burden, and the MRC index (MRCI) at 4 different time points (before transplantation, M0, M4, and M12) were extracted from the patients' medical records. MRCI was calculated by adding each drug score (calculated according to its formulation, dosing frequency, and additional instructions concerning administration). Hence, the MRCI took account of all prescription drugs. A logistic regression model was used to identify factors associated with an elevated MRCI at M12.

RESULTS

The median (interquartile range) age of the 354 study participants was 52 years (42-62). Respectively 21%, 42%, 53%, and 38% of the patients were taking 10 or more drugs before transplantation and at M0, M4, and M12. At M12, the 3 most frequently prescribed drug classes were immunosuppressants, cardiovascular system drugs, and drugs acting on the alimentary tract and metabolism. The pill burden and MRCI before transplantation were significantly lower (P < 0.001) than at each time point after transplantation. Diabetes and dyslipidemia were independently associated with an elevated MRCI at M12.

CONCLUSION

In kidney transplant recipients, the drug burden and MRCI were greater at all time points after transplantation than before transplantation. The impact of the drug burden and MRC on medication adherence and clinical outcomes in these patients requires further evaluation.

Health literacy of people living with HIV in a rural area in Indonesia: A cross-sectional study

Indonesia, the fourth most populated country in the world, has experienced a fivefold increase in Human Immunodeficiency Virus (HIV)-infected individuals since 2001. Little is known about health literacy in people living with HIV (PLHIV) in Indonesia. This study aimed to determine the level of health literacy among PLHIV in Indonesia and assess associations between sociodemographic variables, beliefs about medicines, stigma and health literacy. We conducted a cross-sectional study using questionnaires in PLHIV in Papua, Indonesia. The short version of the Test of Functional Health Literacy in Adults (S-TOFHLA), Beliefs about Medicines Questionnaire (BMQ) and HIV stigma scale as well as questions on demographic information were completed by the participants from two hospitals in Papua, Indonesia. In a multivariate logistic regression analysis, we assessed the association between sociodemographic variables, stigma, beliefs about medicine and low health literacy. Overall, 331 participants were included, 62.0% female, 67.0% Papuans. A total of 38.5% of participants had low health literacy. PLHIV with multi-dose regimen were less likely to have low health literacy than those taking a fixed-dose combination (OR = 0.51; 95%CI = 0.32-0.82). PLHIV who had social support in medicine-taking were more likely to have low health literacy (OR = 1.78; 95%CI = 1.07-2.97). More awareness about medication overuse (OR = 1.17; 95%CI = 1.06-1.29) and medication harm (OR = 1.10; 95%CI = 1.01-1.20) were also associated with having low health literacy. Overall, interventions targeting health literacy may be a promising strategy to improve self-management.

Lower Cumulative Antiretroviral Exposure in People Living With HIV and Diabetes Mellitus

OBJECTIVE

People living with HIV (PLWH) are living longer and developing more non-AIDS comorbidities, which negatively impact antiretroviral therapy (ART) adherence. Tenofovir diphosphate (TFV-DP) in dried blood spots (DBS) is a novel pharmacologic measure of cumulative ART adherence that is predictive of viral suppression and future viremia. However, the relationship between non-AIDS comorbidities and this adherence measure is unknown. We aimed to evaluate the association between 3 non-AIDS comorbidities (diabetes mellitus (DM), hypertension, and hyperlipidemia) and TFV-DP in DBS in PLWH.

METHODS

Blood for TFV-DP in DBS and HIV viral load was prospectively collected from PLWH on tenofovir disoproxil fumarate for up to 3 times over 48 weeks. Non-AIDS comorbidities were recorded. Mixed effect multivariable linear regression models were used to estimate the changes in TFV-DP concentrations in DBS according to the presence of comorbidities and to estimate the percent differences in TFV-DP concentrations between these groups.

RESULTS

A total of 1144 person-visits derived from 523 participants with available concentrations of TFV-DP in DBS were included in this analysis. In univariate analysis, no significant association between non-AIDS comorbidities (categorized as having 0, 1, 2, or 3 comorbidities) and the concentrations of TFV-DP in DBS was observed (P = 0.40). Participants who had DM had 25% lower (95% confidence interval: -36% to -12%; P < 0.001) TFV-DP in DBS than participants without DM after adjusting for age, gender, race, body mass index, estimated glomerular filtration rate, CD4 T-cell count, hematocrit, ART class, patient-level medication regimen complexity index, and 3-month self-reported adherence.

CONCLUSIONS

Diabetic PLWH have lower concentrations of TFV-DP in DBS compared with those without DM. Further research is required to identify the clinical implications and biological mechanisms underlying these findings.

Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study

Background

Solid organ transplantation could be the only life-saving treatment for end-stage heart failure. Nevertheless, multimorbidity and polypharmacy remain major problems after heart transplant. A technology-based behavioral intervention model was established to improve clinical practice in a heart transplant outpatient setting. To support the new strategy, the mHeart app, a mobile health (mHealth) tool, was developed for use by patients and providers.

Objective

The primary objective of this study was to describe the implementation of the mHeart model and to outline the main facilitators identified when conceiving an mHealth approach. The secondary objectives were to evaluate the barriers, benefits, and willingness to use mHealth services reported by heart transplant recipients and cardiology providers.

Methods

This was an implementation strategy study directed by a multidisciplinary cardiology team conducted in four stages: design of the model and the software, development of the mHeart tool, interoperability among systems, and quality and security requirements. A mixed methods study design was applied combining a literature review, several surveys, interviews, and focus groups. The approach involved merging engineering and behavioral theory science. Participants were chronic-stage heart transplant recipients, patient associations, health providers, stakeholders, and diverse experts from the legal, data protection, and interoperability fields.

Results

An interdisciplinary and patient-centered process was applied to obtain a comprehensive care model. The heart transplant recipients (N=135) included in the study confirmed they had access to smartphones (132/135, 97.7%) and were willing to use the mHeart system (132/135, 97.7%). Based on stakeholder agreement (>75%, N=26), the major priorities identified of the mHealth approach were to improve therapy management, patient empowerment, and patient-provider interactions. Stakeholder agreement on the barriers to implementing the system was weak (<75%). Establishing the new model posed several challenges to the multidisciplinary team in charge. The main factors that needed to be overcome were ensuring data confidentiality, reducing workload, minimizing the digital divide, and increasing interoperability. Experts from various fields, scientific societies, and patient associations were essential to meet the quality requirements and the model scalability.

Conclusions

The mHeart model will be applicable in distinct clinical and research contexts, and may inspire other cardiology health providers to create innovative ways to deal with therapeutic complexity and multimorbidity through health care systems. Professionals and patients are willing to use such innovative mHealth programs. The facilitators and key strategies described were needed for success in the implementation of the new holistic theory–based mHealth strategy.

Characterization of the medication regimen complexity index in high-utilizer, adult psychiatric patients

Introduction

Few studies have examined the role of medication-related factors in psychiatric readmissions. Our objective was to characterize the medication regimen complexity index (MRCI) and assess its association with psychiatric hospital readmission frequency and time to readmission in a high-utilizer psychiatric cohort.

Methods

Adult patients admitted between July 2012 and March 2014 were identified if discharged from an inpatient psychiatry service with greater than or equal to 5 psychiatric readmissions or at least one 30-day readmission. Complexity of the medication regimen was determined using a validated MRCI electronic capture tool.

Results

One hundred sixty-eight patients were included. Average MRCI for all readmissions was 7.09 for psychotropic medications, 5.90 for other prescription medications, 2.98 for over the counter, and 16.00 for total medications. Ages greater than 65 years old and female sex were associated with higher total MRCI scores. Average MRCI for psychotropic medications and average psychotropic medication count, along with depression diagnosis, were found to be significantly associated with average time between each readmission but not with readmission frequency. An average total MRCI score greater than 19.7, when broken down by percentiles, was associated with a shorter time to readmission.

Discussion

Psychotropic regimen complexity, psychotropic medication count, total MRCI greater than 19.7, and a diagnosis of depression may contribute to a shorter time to readmission in adult psychiatric patients with a history of frequent readmissions. Future studies are needed to confirm findings and evaluate clinical significance and impact.

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.

Differences in the Complexity of Office Visits by Physician Specialty: NAMCS 2013-2016

BACKGROUND

Specialty-to-specialty variation in use of outpatient evaluation and management service codes could lead to important differences in reimbursement among specialties.

OBJECTIVE

To compare the complexity of visits to physicians whose incomes are largely dependent on evaluation and management services to the complexity of visits to physicians whose incomes are largely dependent on procedures.

DESIGN, SETTING, AND PARTICIPANTS

We analyzed 53,670 established patient outpatient visits reported by physicians in the National Ambulatory Medical Care Survey (NAMCS) from 2013 to 2016. We defined high complexity visits as those with an above average number of diagnoses (> 2) and/or medications (> 3) listed We based our comparison on time intervals corresponding to typical outpatient evaluation and management times as defined by the Current Procedural Terminology Manual and specialty utilization of evaluation and management codes based on 2015 Medicare payments.

MAIN OUTCOME AND MEASURES

Proportion of complex visits by specialty category.

KEY RESULTS

We found significant differences in the content of similar-length office visits provided by different specialties. For level 4 established outpatient visits (99214), the percentage involving high diagnostic complexity ranged from 62% for internal medicine, 52% for family medicine/general practice, and 41% for neurology (specialties whose incomes are largely dependent on evaluation and management codes), to 34% for dermatology, 42% for ophthalmology, and 25% for orthopedic surgery (specialties whose incomes are more dependent on procedure codes) (p value of the difference < 0.001). High medication complexity was found in the following proportions of visits: internal medicine 56%, family medicine/general practice 49%, and neurology 43%, as compared with dermatology 33%, ophthalmology 30%, and orthopedic surgery 30% (p value of the difference < 0.001).

CONCLUSION

Within the same duration visits, specialties whose incomes depend more on evaluation and management codes on average addressed more clinical issues and managed more medications than specialties whose incomes are more dependent on procedures.

Effect on the adherence to concomitant medications after initiation of treatment with direct-acting antiviral agents against hepatitis C virus

INTRODUCTION

Many patients with hepatitis C virus (HCV) have associated comorbidities that require complex treatments. We sought to determine the impact of treatment with direct-acting antiviral agents (DAAs) for HCV on adherence to prescribed concomitant medications for associated comorbidities and to identify predictors of non-adherence to comedications.

PATIENTS AND METHODS

HCV-infected patients treated with DAAs in a Spanish hospital between January 2015 and December 2016 and followed-up by the pharmacy unit were included in the study. Adherence to concomitant comedication prescribed before and during HCV therapy with DAAs was compared to adherence during the same number of weeks before DAA initiation. Demographic, clinical and pharmacotherapy variables were analyzed to determine factors associated with non-adherence. A multivariate regression model was created for prediction of non-adherence to concomitant medication.

RESULTS

Data from 214 patients using prescribed concomitant therapies were analyzed. Significant reduction on adherence to comedications was observed after initiation of DAA treatment compared with a similar period before therapy initiation (29.9% vs. 36.9%, p=0.032). The univariate analysis showed that polypharmacy and presence of vascular disease were associated negatively with adherence to concomitant medications (87.8%, p=0.006 and 84.7%, p<0.001, respectively). Multivariate analysis indicated that HIV/HBV coinfection was associated with adherence (OR 0.19; 95% CI 0.09-0.39), while polypharmacy was a predictor for non-adherence (OR 4.54; 95% CI 1.48-13.92).

DISCUSSION

Adherence to concomitant medications decreases in HCV-infected patients when DAA therapy is initiated. Polypharmacy is a predictor for non-adherence, while HIV/HBV coinfection reduce non-adherence rates. Polymedicated patients on DAAs might benefit from close follow-up and educational programmes to improve their adherence.

Review of Ongoing Activities and Challenges to Improve the Care of Patients With Type 2 Diabetes Across Africa and the Implications for the Future

Background

There has been an appreciable increase in the number of people in Africa with metabolic syndrome and Type 2 diabetes (T2DM) in recent years as a result of a number of factors. Factors include lifestyle changes, urbanisation, and the growing consumption of processed foods coupled with increasing levels of obesity. Currently there are 19 million adults in Africa with diabetes, mainly T2DM (95%), estimated to grow to 47 million people by 2045 unless controlled. This has a considerable impact on morbidity, mortality and costs in the region. There are a number of issues to address to reduce the impact of T2DM including improving detection rates and current access to services alongside addressing issues of adherence to prescribed medicines. There are also high rates of co-morbidities with infectious diseases such as HIV and tuberculosis in patients in Africa with T2DM that require attention.

Objective

Document ongoing activities across Africa to improve the care of patients with T2DM especially around issues of identification, access, and adherence to changing lifestyles and prescribed medicines. In addition, discussing potential ways forward to improve the care of patients with T2DM based on ongoing activities and experiences including addressing key issues associated with co-morbidities with infectious diseases.

Our Approach

Contextualise the findings from a wide range of publications including internet based publications of national approaches coupled with input from senior level government, academic and other professionals from across Africa to provide future guidance.

Ongoing Activities

A number of African countries are actively instigating programmes to improve the care of patients with T2DM starting with improved diagnosis. This recognises the growing burden of non-communicable diseases across Africa, which has been neglected in the past. Planned activities include programmes to improve detection rates and address key issues with diet and lifestyle changes, alongside improving monitoring of care and activities to enhance adherence to prescribed medicines. In addition, addressing potential complexities involving diabetes patients with infectious disease co-morbidities. It is too early to fully assess the impact of such activities.

Conclusion

There are a number of ongoing activities across Africa to improve the management of patients with diabetes including co-morbidities. However, more needs to be done considering the high and growing burden of T2DM in Africa. Ongoing research will help further benefit resource allocation and subsequent care.

Correlation between medication regimen complexity and quality of life in patients with heart failure

PURPOSE

To determine if a correlation exists between the medication regimen complexity index (MRCI) and quality of life (QoL) in patients with heart failure (HF) assessed using the Minnesota Living with Heart Failure Questionnaire (MLHFQ).

METHODS

Retrospective chart review from July 2012 through June 2018 identified patients for inclusion who completed an MLHFQ. Baseline and, if available, follow-up MLHFQ scores were collected. The medication list documented on the date of the MLHFQ was used to calculate the MRCI.

RESULTS

Patients with a documented MLHFQ score were included (n = 72) in the primary analysis. No correlation existed between baseline MRCI and MLHFQ (r = 0.07; p = 0.55). A secondary analysis of correlation between change in MRCI and MLHFQ was conducted for patients (n = 30) with a follow-up MLHFQ score. A moderate, negative correlation (r = -0.47; p = 0.009) existed between change in MRCI and MLHFQ from baseline to follow-up.

CONCLUSION

No significant correlation between MRCI and MLHFQ scores were found at baseline. Patients with follow-up MLHFQ scores demonstrated improvements in QoL, despite increasingly complex medication regimens. Medication regimen complexity alone is likely an insufficient marker for predicting QoL in patients with HF.

Development and validation of a medication regimen complexity scoring tool for critically ill patients

PURPOSE

The purpose of this study was to develop and validate a novel medication regimen complexity-intensive care unit (MRC-ICU) scoring tool in critically ill patients and to correlate MRC with illness severity and patient outcomes.

METHODS

This study was a single-center, retrospective observational chart review of adults admitted to the medical ICU (MICU) between November 2016 and June 2017. The primary aim was the development and internal validation of the MRC-ICU scoring tool. Secondary aims included external validation of the MRC-ICU and exploration of relationships between medication regimen complexity and patient outcomes. Exclusion criteria included a length of stay of less than 24 hours in the MICU, active transfer, or hospice orders at 24 hours. A total of 130 patient medication regimens were used to test, modify, and validate the MRC-ICU tool.

RESULTS

The 39-line item medication regimen complexity scoring tool was validated both internally and externally. Convergent validity was confirmed with total medications (p < 0.0001). Score discriminant validity was confirmed by lack of association with age (p = 0.1039) or sex (p = 0.7829). The MRC-ICU score was significantly associated with ICU length of stay (p = 0.0166), ICU mortality (p = 0.0193), and patient acuity (p < 0.0001).

CONCLUSION

The MRC-ICU scoring tool was validated and found to correlate with length of stay, inpatient mortality, and patient acuity.

Deprescribing of non-antiretroviral therapy in HIV-infected patients

PURPOSE

In recent decades, the life expectancy of HIV-infected patients has increased considerably, to the extent that the disease can now be considered chronic. In this context of progressive aging, HIV-infected persons have a greater prevalence of comorbid conditions. Consequently, they usually take more non-antiretroviral drugs, and their drug therapy are more complex. This supposes a greater risk of drug interactions, of hospitalization, falls, and death. In the last years, deprescribing has gained attention as a means to rationalize medication use.

METHODS

Review of the different therapeutic approach that includes optimization of polypharmacy and control and reduction of potentially inappropriate prescription.

RESULTS

There are several protocols for systematizing the deprescribing process. The most widely used tool is the Medication Regimen Complexity Index, an index validated in HIV-infected persons. Anticholinergic medications are the agents that have been most associated with major adverse effects so, various scales have been employed to measure it. Other tools should be employed to detect and prevent the use of potentially inappropriate drugs. Prioritization of candidates should be based, among others, on drugs that should always be avoided and drugs with no justified indication.

CONCLUSIONS

The deprescribing process shared by professionals and patients definitively would improve management of treatment in this population. Because polypharmacy in HIV-infected patients show that a considerable percentage of patients could be candidates for deprescribing, we must understand the importance of deprescribing and that HIV-infected persons should be a priority group. This process would be highly feasible and effective in HIV-infected persons.

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.

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).

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.

Future Perspectives for Patient-Centric Pharmaceutical Drug Product Design with Regard to Solid Oral Dosage Forms

Purpose

Additional costs for healthcare provision are expected for cases where the level of care provided is not according to the patient’s needs and demands. To address these issues and reduce costs, fundamental changes need to be made on how healthcare provision is administered to patients, which raises the opportunity for the implementation of patient-centric systems.

Methods

This review addresses the importance of implementing a patient-centric approach in current healthcare provision and emphasizes the need to adjust current development and business models for a successful application of patient-centric care.

Results

To increase awareness and avoid confusion, the purpose of patient-centric pharmaceutical drug product design is reviewed in detail and future market opportunities for patient-centric drug products are discussed.

Conclusions

With regard to solid oral dosage forms, the subject of patient-centric pharmaceutical drug product design will focus more on the customization of existing technologies (e.g., dosage form size reduction) to address the needs of specific patient populations such as pediatrics, geriatrics, dysphagia patients, or the cognitively impaired.

A shared medication scheme for community dwelling older patients with polypharmacy receiving home health care: role of the community pharmacist

Background and objective: An accurate medication scheme may be a useful tool to improve medication safety in primary care. This study aimed to identify (1) pharmacists' alterations to nurse medication schemes and (2) potential improvements to the contribution of the community pharmacist to a shared medication scheme within a multidisciplinary collaboration. Dosing frequency, potentially incorrect moments of intake, drug-drug interactions and medication complexity (quantified by the Medication Regimen Complexity Index, MRCI) were investigated. Setting and method: Observational study in community dwelling older patients (≥70 years) with polypharmacy receiving home health care (i.e. medications being prepared and/or administered by home care nurses). Home care nurses provided the community pharmacist with the original medication scheme ('nurse medication scheme'), subsequently the community pharmacist generated a standardized 'pharmacist medication scheme' which was uploaded on an electronic health platform (Vitalink). The researcher recorded all pharmacists' alterations and looked for possible additional improvements ('researcher medication scheme'). Results: Pharmacists made 482 alterations to the nurse medication schemes of 31 patients. Most important alterations included adding indication (61%), generic or brand name (18%) and moment of intake (9%). Pharmacists did not reduce dosing frequency. MRCI scores (median [IQR]) significantly differed between pharmacist (38 [15]) and nurse medication schemes (32 [11]) (p < 0.001) and between nurse (32 [11]) and researcher medication schemes (40 [15]) (p < 0.001). Conclusion: Alterations made by the community pharmacists enable more complete and accurate medication schemes; however, there is room for improvement in optimizing the patient's medication scheme in a multidisciplinary collaboration.