Medication adherence in community-dwelling older people exposed to chronic polypharmacy

Estimating the economic impact of blister-packaging on medication adherence and health care costs for a Medicare Advantage health plan

BACKGROUND

Medication nonadherence is a persistent challenge in the United States, leading to increased health care resource utilization (HCRU) and health care costs and worsened health outcomes. Medicare Star Ratings is a program developed by the Centers for Medicare and Medicaid Services (CMS) to evaluate Medicare health plan quality and performance. Three of the Medicare Part D Star Ratings quality measures assess medication adherence, showing the importance CMS places on improving medication adherence in older adults. Although a variety of medication adherence-enhancing interventions are available to help promote adherence among patients, one intervention that has shown success historically is blister-packaging.

OBJECTIVE

To model the potential impact of blister-packaging chronic medications on HCRU and health care costs in the Medicare population.

METHODS

An economic model was developed to assess the potential impact of blister-packaging the 3 Medicare Star Ratings adherence measure medication classes: renin-angiotensin system antagonists (RASAs), statins, and noninsulin antidiabetics. The model perspective was that of a hypothetical Medicare Advantage health plan with a plan size of 100,000 members. A 12-month time horizon was used in the model. The dichotomous adherence threshold in the model was set at 80% or greater of the proportion of days covered (PDC). Literature-based references were used to inform both the impact of blister-packaging on the number of patients who become adherent as well as the impact of medication adherence on HCRU and health care costs for each of the medication classes. One-way sensitivity analyses and several scenario analyses were conducted to assess model uncertainty.

RESULTS

Owing to increased adherence from the blister-packaging intervention, the hypothetical health plan in the analysis saw 776 additional members adherent to RASAs, 1,651 additional members adherent to statins, and 414 additional members adherent to oral antidiabetics. Although medication expenditure increased for all 3 medication classes (RASAs: $274,963; statins: $730,083; oral antidiabetics: $100,529), medical costs decreased across all classes (RASAs: -$4,098,848; statins: -$5,549,699; oral antidiabetics: -$917,968). Total net health care costs decreased by $3,823,885 for RASAs (-$3.19 per member per month [PMPM]), $4,819,616 for statins (-$4.02 PMPM), and $817,438 for oral antidiabetics (-$0.68 PMPM). The entire Medicare Advantage population scenario analysis saw reductions in total health care costs of $1,081,394,737 for RASAs, $1,362,987,376 for statins, and $231,171,496 for oral antidiabetics.

CONCLUSIONS

Dispensing chronic medications with blister-packaging for Medicare Advantage health plan patients was modeled to reduce HCRU and health care costs. Future studies are needed to assess whether the impact of blister-packaging medications is tied to reductions in HCRU and health care costs in real-world settings.

The association between comprehensive medication review and medication adherence among medicare beneficiaries with chronic obstructive pulmonary disease

Background

Medicare Part D plans are required to provide Medication therapy management (MTM) services to eligible beneficiaries to optimize medication utilization. Comprehensive medication review (CMR) is a core element of the MTM program. Despite the availability of advanced medical treatment for patients with chronic obstructive pulmonary disease (COPD), medication adherence to maintenance medications poses a continued challenge for patients with COPD.

Objective

To examine the effects of CMR on medication adherence among patients with COPD.

Methods

Medicare data for 2016-2017 linked to Area Health Resource Files were analyzed. The study population was Medicare beneficiaries with COPD. The intervention group consisted of beneficiaries who received CMR in 2017 but not in 2016. Patients who were eligible for MTM services but did not receive these services in 2016 or 2017 made up the control group. Propensity score matching was used to select an intervention and control group with balanced characteristics. The study outcome was adherence to COPD medications with the proportion of days covered at or above 80%. A difference-in-differences approach was adopted in the logistic regression analyses with an interaction term between the status of CMR receipt and the year 2017.

Results

The study sample included 25,564 patients with COPD. The proportions of adherent patients were similar in the control group in both years but increased significantly from 60.08% in 2016 to 69.38% in 2017 in the intervention group (P < .001). The odds of medication adherence in the intervention group increased from 2016 to 2017 by 59% more than in the control group (adjusted odds ratio = 1.59, 95% confidence interval = 1.48-1.71).

Conclusions

Receiving CMR was associated with improved adherence to COPD medications among Medicare beneficiaries. Policymakers should ensure that Medicare beneficiaries with COPD receive CMR.

Dietary supplement use is common in older adult drivers: an analysis from the AAA LongROAD study

BACKGROUND

Dietary supplement (DS) use is common and increasing among older adults, though much data available on use frequencies are from surveys and performed cross-sectionally. This paper sought to assess the frequency and pattern of dietary supplement use among older adults over time.

METHODS

A secondary analysis of data from the AAA LongROAD study, a longitudinal prospective cohort study of older adult drivers, using data from baseline and the first two years of follow up included a total of 2990 drivers aged 65-79 years recruited at five study sites across the US from July 2015 to March 2017. Participants underwent baseline and annual evaluations, which included a "brown bag" medication review. DS were identified and categorized according to type and key components. Prevalence and pattern of DS use over time and relationship to demographics were measured with frequency and Chi squared analyses.

RESULTS

84% of participants took at least one dietary supplement during the 2-year study period, and 55% of participants continually reported use. DS accounted for approximately 30% of the total pharmacologic-pill burden in all years. Participants who were White non-Hispanic, female, 75-79 years of age at baseline, and on more non-supplement medications took significantly more dietary supplements (P < 0.05). Vitamin D, multivitamins, calcium, and omega-3 formulations were the most common supplements, with stable use over time. Use of individual herbal supplements and cannabis products was uncommon (< 1% participants per year).

CONCLUSIONS

DS use among older adults is common and relatively stable over time and contributes to polypharmacy. In clinical settings, providers should consider the influence of DS formulations on polypharmacy, and the associated cost, risk of medication interactions, and effect on medication compliance.

Association of intrinsic capacity and medication non-adherence among older adults with non-communicable diseases in Taiwan

OBJECTIVES

Medication non-adherence among older adults with non-communicable diseases (NCDs) remains prevalent worldwide, which causes hospitalization and mortality. Our study aimed to examine the association of medication non-adherence with level of overall intrinsic capacity (IC), pattern of IC, and specific IC component among older adults with NCDs.

METHODS

A cross-sectional questionnaire-based survey of 1268 older adults aged 60 years and above was conducted in 2022 in southern Taiwan. Among them, 894 suffered from 1 more NCD were included in this study. The Integrated Care for Older People Screening Tool for Taiwanese and the Adherence to Refills and Medication Scale were used to assess IC and medication non-adherence, respectively. Latent class analysis (LCA) was used to identify patterns of IC impairment, and binary logistic regression was used to assess the association between medication non-adherence and IC.

RESULTS

Older adults in the moderate (score: 1-2) or low (score≧3) overall IC groups were more likely to experience medication non-adherence (moderate: adjusted odds ratio (aOR) 1.57 [95% CI: 1.05-2.36]; low: 2.26 [1.40-3.67]). The "physical and nutritional impairments accompanied by depressive symptoms" group was associated with statistically higher odds of medication non-adherence (aOR 1.66 [1.01-2.73]). Older adults with cognitive impairment, hearing loss, or depressive symptoms showed greater likelihood of medication non-adherence (cognitive impairment: aOR 1.53 [1.03-2.27]; hearing loss: aOR 1.57 [1.03-2.37]; depressive symptoms: aOR 1.81 [1.17-2.80]).

CONCLUSIONS

Intervention for improving medication non-adherence among older adults with NCDs should consider IC.

Development of a Predictive Model for Potentially Inappropriate Medications in Older Patients with Cardiovascular Disease

BACKGROUND

Older patients with cardiovascular disease (CVD) are highly susceptible to adverse drug reactions due to age-related physiological changes and the presence of multiple comorbidities, polypharmacy, and potentially inappropriate medications (PIMs).

OBJECTIVE

This study aimed to develop a predictive model to identify the use of PIMs in older patients with CVD.

METHODS

Data from 2012 to 2021 from the Changhua Christian Hospital Clinical Research Database (CCHRD) and the Kaohsiung Medical University Hospital Research Database (KMUHRD) were analyzed. Participants over the age of 65 years with CVD diagnoses were included. The CCHRD data were randomly divided into a training set (80% of the database) and an internal validation set (20% of the database), while the KMUHRD data served as an external validation set. The training set was used to construct the prediction models, and both validation sets were used to validate the proposed models.

RESULTS

A total of 48,569 patients were included. Comprehensive data analysis revealed significant associations between the use of PIMs and clinical factors such as total cholesterol, glycated hemoglobin (HbA1c), creatinine, and uric acid levels, as well as the presence of diabetes, hypertension, and cerebrovascular accidents. The predictive models demonstrated moderate power, indicating the importance of these factors in assessing the risk of PIMs.

CONCLUSIONS

This study developed predictive models that improve understanding of the use of PIMs in older patients with CVD. These models may assist clinicians in making informed decisions regarding medication safety.

Optimizing polypharmacy management in the elderly: a comprehensive European benchmarking survey and the development of an innovative online benchmarking application

Background: Polypharmacy, defined as the simultaneous use of multiple medications by a patient, is a worldwide problem of rising prevalence. Paving the way for drug interactions, adverse drug reactions and non-adherence, it leads to negative health outcomes, increased use of healthcare services and rising costs. Since it is closely related to multimorbidity, it peaks in older adults. So far, not many polypharmacy management programs in the elderly have been introduced in practice. However, due to the rapid ageing of European societies, there is an urgent need to implement them more widely. Objective: The aim of this study was to benchmark polypharmacy management programs in the elderly available in Europe and creating a dedicated benchmarking application. Methods: It was a cross-sectional study based on an online survey targeting healthcare professionals and other stakeholders across European countries. Data collected in the survey were reused to design an online benchmarking application. Results: As many as 911 respondents from all but two EU countries took part in this study. Out of the survey participants, 496 (54.4%) reported availability of various activities or formal programs targeting polypharmacy in the elderly that were known to them. These programs had multiple goals, of which improved patient safety was indicated as the most common objective (65.1% of the cases). The most typical settings for such programs was primary care (49.4%), with pharmacists and primary care doctors being indicated most often as those providing the programs (61.7% and 35.5% of cases, respectively). Vast majority of programs applied diverse forms of drug reviews. The identified programs were assessed against four predefined dimensions of effectiveness, applicability, scalability and cost-effectiveness. The lowest scores were obtained within the last of these categories, due to unavailability of relevant data. Based on the survey results, a benchmarking application was constructed. It allows for comparing an individual polypharmacy management program targeting the elderly against the other ones, and particularly, against the national and European context. Conclusion: By providing strong evidence, the findings of this study, coupled with the benchmarking application, can prove valuable in aiding clinicians and policymakers in the implementation and expansion of polypharmacy management programs for the elderly.

The Association Between Mild Cognitive Impairment and Medication Non-adherence Among Elderly Patients With Chronic Diseases

BACKGROUND

Medication adherence is essential for optimizing treatment outcomes in elderly patients who frequently contend with multiple chronic diseases requiring pharmacological interventions. Mild cognitive impairment (MCI) is a prevalent cognitive disorder among the elderly population, but its impact on medication adherence among elderly patients is still uncertain. This cross-sectional study aimed to investigate the impact of MCI on medication adherence among elderly patients.

METHODS

A cross-sectional study of 436 elderly patients with common chronic diseases aged 60 years and above was conducted. Medication adherence was measured using the Morisky Medication Adherence Scale-8 (MMAS-8). MCI was screened, and cognitive status was assessed using the Mini-Mental State Examination (MMSE) questionnaire. Multivariate logistic regression analysis was performed to identify independent risk factors of medication non-adherence.

RESULTS

Among these elderly patients, 212 (48.6%) had poor medication compliance, and 181 (41.5%) had MCI. Preliminary analyses showed a significant association between MCI and medication non-adherence among elderly patients (odds ratio (OR)=3.95, 95% confidence interval (95%CI)=2.63-5.92, P<0.001). Multivariate logistic regression analysis showed that MCI was independently associated with the risk of medication non-adherence among elderly patients (adjusted OR=2.64, 95%CI=1.64-4.24, P<0.001). Additionally, adverse drug reaction and poor evaluation of medication effects were also independently associated with medication non-adherence in elderly patients (P<0.05).

CONCLUSION

Findings from this cross-sectional study proved the substantial adverse impact of MCI on medication adherence among elderly patients, and MCI was an independently influential factor of medication non-adherence. Identifying the MCI status early and providing interventions to enhance medication adherence are undoubtedly essential for optimizing healthcare outcomes in elderly patients.

Methods to assess COPD medications adherence in healthcare databases: a systematic review

BACKGROUND

The Global Initiative for Chronic Obstructive Lung Disease 2023 report recommends medication adherence assessment in COPD as an action item. Healthcare databases provide opportunities for objective assessments; however, multiple methods exist. We aimed to systematically review the literature to describe existing methods to assess adherence in COPD in healthcare databases and to evaluate the reporting of influencing variables.

METHOD

We searched MEDLINE, Web of Science and Embase for peer-reviewed articles evaluating adherence to COPD medication in electronic databases, written in English, published up to 11 October 2022 (PROSPERO identifier CRD42022363449). Two reviewers independently conducted screening for inclusion and performed data extraction. Methods to assess initiation (dispensing of medication after prescribing), implementation (extent of use over a specific time period) and/or persistence (time from initiation to discontinuation) were listed descriptively. Each included study was evaluated for reporting variables with an impact on adherence assessment: inpatient stays, drug substitution, dose switching and early refills.

RESULTS

160 studies were included, of which four assessed initiation, 135 implementation and 45 persistence. Overall, one method was used to measure initiation, 43 methods for implementation and seven methods for persistence. Most of the included implementation studies reported medication possession ratio, proportion of days covered and/or an alteration of these methods. Only 11% of the included studies mentioned the potential impact of the evaluated variables.

CONCLUSION

Variations in adherence assessment methods are common. Attention to transparency, reporting of variables with an impact on adherence assessment and rationale for choosing an adherence cut-off or treatment gap is recommended.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Frequency and impact of medication reviews for people aged 65 years or above in UK primary care: an observational study using electronic health records

BACKGROUND

Medication reviews in primary care provide an opportunity to review and discuss the safety and appropriateness of a person's medicines. However, there is limited evidence about access to and the impact of routine medication reviews for older adults in the general population, particularly in the UK. We aimed to quantify the proportion of people aged 65 years and over with a medication review recorded in 2019 and describe changes in the numbers and types of medicines prescribed following a review.

METHODS

We used anonymised primary care electronic health records from the UK's Clinical Practice Research Datalink (CPRD GOLD) to define a population of people aged 65 years or over in 2019. We counted people with a medication review record in 2019 and used Cox regression to estimate associations between demographic characteristics, diagnoses, and prescribed medicines and having a medication review. We used linear regression to compare the number of medicines prescribed as repeat prescriptions in the three months before and after a medication review. Specifically, we compared the 'prescription count' - the maximum number of different medicines with overlapping prescriptions people had in each period.

RESULTS

Of 591,726 people prescribed one or more medicines at baseline, 305,526 (51.6%) had a recorded medication review in 2019. Living in a care home (hazard ratio 1.51, 95% confidence interval 1.40-1.62), medication review in the previous year (1.83, 1.69-1.98), and baseline prescription count (e.g. 5-9 vs 1 medicine 1.41, 1.37-1.46) were strongly associated with having a medication review in 2019. Overall, the prescription count tended to increase after a review (mean change 0.13 medicines, 95% CI 0.12-0.14).

CONCLUSIONS

Although medication reviews were commonly recorded for people aged 65 years or over, there was little change overall in the numbers and types of medicines prescribed following a review. This study did not examine whether the prescriptions were appropriate or other metrics, such as dose or medicine changes within the same class. However, by examining the impact of medication reviews before the introduction of structured medication review requirements in England in 2020, it provides a useful benchmark which these new reviews can be compared with.

Medication self-management toolkits for adults with multiple sclerosis: A scoping review

Background

Multiple sclerosis (MS) is an autoimmune disease that is often treated with multiple medications. Managing multiple medications, also known as polypharmacy, can be challenging for persons with MS. Toolkits are instructional resources designed to promote behaviour change. Toolkits may support medication self-management for adults with MS, as they have been useful in other populations with chronic conditions.

Objective

The main purpose of this review was to identify and summarize medication self-management toolkits for MS, as related to the design, delivery, components, and measures used to evaluate implementation and/or outcomes.

Methods

A scoping review was conducted following guidelines by JBI. Articles were included if they focused on adults (18 years or older) with MS.

Results

Six articles reporting on four unique toolkits were included. Most toolkits were technology-based, including mobile or online applications, with only one toolkit being paper-based. The toolkits varied in type, frequency, and duration of medication management support. Varying outcomes were also identified, but there were improvements reported in symptom management, medication adherence, decision-making, and quality of life. The six studies were quantitative in design, with no studies exploring the user experience from a qualitative or mixed-methods design.

Conclusions

There is limited research on medication self-management toolkits among adults with MS. Future development, implementation, and evaluation mixed-methods research are needed to explore user experiences and overall design of toolkits.

Is shared decision-making a determinant of polypharmacy in older patients with chronic disease? A cross-sectional study in Hubei Province, China

BACKGROUND

Shared decision-making(SDM) is recognized as an important means of managing polypharmacy among older people with chronic diseases. However, no studies have quantitatively measured the effect of SDM on polypharmacy. The objective of this study was to compare the impact of SDM and other factors on polypharmacy in inpatients and community patients. Additionally, the study aimed to compare the impact of different decision types on polypharmacy in community patients.

METHODS

This is a population-based multicenter retrospective study conducted in Hubei Province, China. A cluster sampling approach was used to recruit 536 chronic disease inpatients from March to April 2019, and 849 community patients were recruited from April to June 2021. Propensity score weighting was used to control the confounding variables and determine the net effect of SDM on polypharmacy.

RESULTS

Among the 536 hospitalized patients, the prevalence of polypharmacy was 56.3%. A high level of SDM was significantly associated with a lower risk of polypharmacy. Patients with chronic illnesses aged 76 years and older and with an annual family income of 24,001-36,000 yuan were associated with a lower likelihood of polypharmacy (p < 0.05). Multimorbidity was often accompanied by the occurrence of multiple medication use. Among 849 community patients, the prevalence of polypharmacy was 21.8%. Among types of decision-making, informed and paternalistic decision-making showed a higher likelihood of polypharmacy compared with shared decision-making (P < 0.05). Male, older patients over 76 years of age, urban residents, annual household income of 12,001-24,000 yuan, and multimorbidity were associated with higher likelihood of polypharmacy (P < 0.05). Patients with an annual household income of 24,001-36,000 yuan, 36,001 yuan or more, and good medication compliance showed a lower likelihood of polypharmacy (P < 0.05).

CONCLUSIONS

The prevalence of polypharmacy is high among China's older population with chronic disease who should be paid more atthention by the healthcare providers. Additionaly, encouraging the patients' attendance in SDM, reducing paternalistic and informed decision-making during prescribing, improving patient medication compliance, and increasing the promotion and guidance of rational medication use for patients are essential to reduce polypharmacy in Chinese chronic disease patients.

Psychiatric and non-psychiatric polypharmacy among older adults with schizophrenia: Trends from a population-based study between 2000 and 2016

Background: Schizophrenia is a severe psychiatric disorder associated with multiple psychiatric and non-psychiatric comorbidities. As adults with schizophrenia age, they may use many medications, i.e., have polypharmacy. While psychiatric polypharmacy is well documented, little is known about trends and patterns of global polypharmacy. This study aimed to draw a portrait of polypharmacy among older adults with schizophrenia from 2000 to 2016. Methods: This population-based cohort study was conducted using the data of the Quebec Integrated Chronic Disease Surveillance System of the National Institute of Public Health of Quebec to characterize recent trends and patterns of medication use according to age and sex. We identified all Quebec residents over 65 years with an ICD-9 or ICD-10 diagnosis of schizophrenia between 2000 and 2016. We calculated the total number of medications used by every individual each year and the age-standardized proportion of individuals with polypharmacy, as defined by the usage of 5+, 10+, 15+, and 20+ different medications yearly. We identified the clinical and socio-demographic factors associated with polypharmacy using robust Poisson regression models considering the correlation of the responses between subjects and analyzed trends in the prevalence of different degrees of polypharmacy. Results: From 2000 to 2016, the median number of medications consumed yearly rose from 8 in 2000 to 11 in 2016. The age-standardized proportion of people exposed to different degrees of polypharmacy also increased from 2000 to 2016: 5+ drugs: 76.6%-89.3%; 10+ drugs: 36.9%-62.2%; 15+: 13.3%-34.4%; 20+: 3.9%-14.4%. Non-antipsychotic drugs essentially drove the rise in polypharmacy since the number of antipsychotics remained stable (mean number of antipsychotics consumed: 1.51 in 2000 vs. 1.67 in 2016). In the multivariate regression, one of the main clinically significant factor associated with polypharmacy was the number of comorbidities (e.g., Polypharmacy-10+: RR_{[2 VS. 0-1]} = 1.4; 99% IC:1.3-1.4, RR_[3-4] = 1.7 (1.7-1.8); RR_[5+] = 2.1 (2.1-2.2); Polypharmacy-15+: RR_{[2 VS 0-1]} = 1.6; 99% IC:1.5-1.7, RR_[3-4] = 2.5 (2.3-2.7); RR_[5+] = 4.1 (3.8-4.5). Conclusion: There was a noticeable increase in polypharmacy exposure among older adults with schizophrenia in recent years, mainly driven by non-antipsychotic medications. This raises concerns about the growing risks for adverse effects and drug-drug interactions in this vulnerable population.

Appropriateness of the Prescription and Use of Medicines: An Old Concept but More Relevant than Ever

The availability of drugs to treat diseases, control symptoms, or prevent their onset is one of the most important resources for maintaining health [...].

Prescription appropriateness of anticoagulant drugs for prophylaxis of venous thromboembolism in hospitalized multimorbid older patients

The aims were to assess: the prescription prevalence of anticoagulant drugs for thromboprophylaxis (TP) in hospitalized older patients; the appropriateness of their prescription or non-prescription; the in-hospital mortality in appropriately versus non-appropriately prescribed or not prescribed patients. 4836 patients aged 65 or older, admitted to the Italian internal medicine and geriatric wards participating to the REPOSI register from 2012 to 2019 were assessed for prescription of anticoagulant drugs for TP at admission and/or during hospital stay. The Padua Prediction Score (PPS) and the IMPROVE score were used to assess the thrombotic and bleeding risk. Patients were considered to be appropriately prescribed when had PPS ≥ 4 and IMPROVE < 7, and appropriately not prescribed when PPS < 4. Logistic regression model was used to assess whether appropriateness was associated with in-hospital mortality. Among 4836 patients included, anticoagulants were prescribed for TP in 1233 (25.5%). In all, 4461 patients were assessable for appropriateness: 3136 (70.3%) were appropriately prescribed or non-prescribed according to their thrombotic and bleeding risk. Among 1138 patients receiving prophylaxis, only 360 (31.7%) were appropriately prescribed, while among 3323 non-prescribed patients, 2776 (83.5%) were appropriately non-prescribed. The in-hospital mortality rate was lower in patients appropriately prescribed or non-prescribed than in those inappropriately prescribed or non-prescribed (OR: 0.63; 95% CI: 0.46-0.83). In conclusion, a high prevalence of multimorbid hospitalized patients were appropriately prescribed or non-prescribed for TP with anticoagulants, appropriate non-prescription being mainly driven by a high bleeding risk. The appropriateness of prescription or non-prescription was associated with lower in-hospital mortality.

Motivational interviewing to support medication adherence in adults with chronic conditions: Systematic review of randomized controlled trials

OBJECTIVES

To systematically review published randomized controlled trials (RCTs) assessing the efficacy of MI to support medication adherence in adults with chronic conditions.

METHODS

A systematic review (PROSPERO-CRD42020025374) was performed by searching in Pubmed/MEDLINE, PsycINFO, The Cochrane Library and Web of Science. Studies were included for the following: RCTs assessing the impact of MI on medication adherence among adults with chronic diseases. Two reviewers conducted independent screening of records and full-text articles published until July 2020. Quality was assessed with the Risk of Bias 2 tool for RCTs.

RESULTS

From 1262 records identified, 54 RCTs were included. The MI interventions were delivered alone or in combination with other interventions, and varied in mode of delivery (e.g. face-to-face, phone), exposure level (duration, number of sessions), and provider characteristics (profession, training). Most interventions were developed in infectious diseases (n = 16), cardiology (n = 14), psychiatry (n = 8), and endocrinology (n = 7). Medication adherence showed significant improvement in 23 RCTs, and other clinical outcomes were improved in 19 RCTs (e.g. risky behaviors, disease symptoms).

CONCLUSIONS

MI is an approach to medication adherence support with an increasing evidence base in several clinical domains and further potential for adaptation to different settings.

PRACTICE IMPLICATIONS

In further studies, particular attention should focus on methodological issues such as the populations of patients to include - patients with suboptimal adherence, the evaluation of fidelity to the MI spirit and components, and a sound measurement of medication adherence and clinical outcomes.

Multiple Medication Adherence and Related Outcomes in Community-Dwelling Older People on Chronic Polypharmacy: A Retrospective Cohort Study on Administrative Claims Data

Poor medication adherence compromises treatment efficacy and adversely affects patients' clinical outcomes. This study aims to assess (1) multiple medication adherence to the most common drug classes chronically prescribed to older people, (2) the factors associated, and (3) the clinical outcomes. This retrospective cohort study included 122,655 community-dwelling patients aged 65-94 years old, newly exposed to chronic polypharmacy, and recorded in the Lombardy Region (northern Italy) administrative database from 2016 to 2018. Multiple medication adherence was assessed for drugs for diabetes, antithrombotics, antihypertensives, statins, and bisphosphonates, by calculating the daily polypharmacy possession ratio (DPPR). One-year mortality, nursing home, emergency department (ED), and hospital admission rates were calculated for 2019. The most prescribed drugs were antihypertensives (89.0%). The mean (std.dev) DPPR was 82.9% (15.6). Being female (OR = 0.85, 95%CI: 0.84-0.86), age ≥85 years (OR = 0.77, 95%CI: 0.76-0.79), and multimorbidity (≥4 diseases, OR = 0.88, 95%CI: 0.86-0.90) were associated with lower medication adherence. A higher DPPR was associated with clinical outcomes-in particular, improved survival (HR = 0.93 for 10/100-point increase, 95%CI: 0.92-0.94) and lower incidence in nursing home admissions (SDHR = 0.95, 95%CI: 0.93-0.97). Adherence to the most common chronic drugs co-prescribed to the older population was high. Better multiple medication adherence was associated with better clinical outcomes.

Prescription Appropriateness of Drugs for Peptic Ulcer and Gastro-Esophageal Reflux Disease: Baseline Assessment in the LAPTOP-PPI Cluster Randomized Trial

Background: Drugs for peptic ulcer and gastro-esophageal reflux disease (GERD) are among the most widely prescribed, frequently without appropriate indications. This represents an important issue, as it leads to risk of adverse events for patients and unnecessary costs for National Health Service.

Aim: To assess the prescription appropriateness of drugs for GERD, in the frame of the “Evaluation of the effectiveness of a Low-cost informative intervention to improve the Appropriate PrescripTiOn of Proton PumP Inhibitors in older people in primary care: a cluster-randomized controlled study” (LAPTOP-PPI) (Clinicaltrial.gov: NCT04637750).

Methods: The appropriateness of drug prescription was assessed on data collected in administrative databases, by integrating information on concomitant medications, outpatient medical and laboratory procedures and hospital discharge diagnoses, according to the reimbursement criteria provided by the Italian Medicine Agency. We analyzed data of community-dwelling people aged 65 years and over, living in the areas of Bergamo (Northern Italy) and Caserta (Southern Italy), from July 1 to 31 December 2019.

Results: Among 380,218 patients, 175,342 (46.1%) received at least one prescription of drugs for GERD. All in all, we found that only 41.2% of patients received appropriate prescriptions.

Conclusion: Given the potential risk of adverse drug reactions, especially in older people, educational interventions should be prompted for physicians, in order to improve the quality of prescription of drugs for GERD and, in turn, avoid unfavorable health outcomes and unnecessary costs.

Medication Use and Storage, and Their Potential Risks in US Households

Background: Medications stored in US households may pose risks to vulnerable populations and the environment, potentially increasing societal costs. Research regarding these aspects is scant, and interventions like medication reuse may alleviate negative consequences. The purpose of this study was to describe medications stored in US households, gauge their potential risk to minors (under 18 years of age), pets, and the environment, and estimate potential costs of unused medications. Methods: A survey of 220 US Qualtrics panel members was completed regarding medications stored at home. Published literature guided data coding for risks to minors, pets, and the environment and for estimating potential costs of unused medications. Results: Of the 192 households who provided usable and complete data, 154 (80%) reported storing a medication at home. Most medications were taken daily for chronic diseases. The majority of households with residents or guests who are minors and those with pets reported storing medications with a high risk of poisoning in easily accessible areas such as counters. Regarding risk to the aquatic environment, 46% of the medications had published data regarding this risk. For those with published data, 42% presented a level of significant risk to the aquatic environment. Unused medications stored at home had an estimated potential cost of $98 million at a national level. Implications/Conclusions: Medications stored at home may pose risks to vulnerable populations and the environment. More research regarding medications stored in households and their risks is required to develop innovative interventions such as medication reuse to prevent any potential harm.