Prevalence of and factors associated with primary medication non-adherence in chronic disease: A systematic review and meta-analysis

Treatment patterns and hospitalizations following rejection, reversal, or payment of the initial once-monthly paliperidone palmitate long-acting injectable antipsychotic claim among patients with schizophrenia or schizoaffective disorder

BACKGROUND

Once-monthly paliperidone palmitate (PP1M) is a long-acting injectable antipsychotic approved for the treatment of schizophrenia and schizoaffective disorder (SCA) in adults.

OBJECTIVE

To assess treatment patterns and schizophrenia/SCA-related hospitalization following payer rejection, patient reversal, or payment of an initial PP1M claim.

METHODS

This was a retrospective cohort study using the IQVIA Formulary Impact Analyzer database linked to the Medical Claims, Hospital Charge Detail Master, and Experian consumer databases. Patients with schizophrenia/SCA and ≥1 PP1M pharmacy claim from January 1, 2018, to February 28, 2022, were identified and stratified into 3 cohorts based on the transaction status of the initial PP1M claim (index date): rejected (payer not approved), reversed (payer approved, patient abandoned), and paid (payer approved, patient filled). Patient characteristics during the 12 months before the index date, subsequent treatment patterns, and schizophrenia/SCA-related hospitalization for patients with >6 months of follow-up were assessed by cohort.

RESULTS

The rejected, reversed, and paid cohorts included 1,260, 1,046, and 1,686 patients, respectively. Across these cohorts, the mean ages ranged between 39.2 and 44.5 years; more than half were male (50.8%-51.6%) and White (50.6%-58.3%); 19.8%-24.6% of patients had a Quan-Charlson Comorbidity Index score of ≥2. Rates of prior atypical oral and long-acting injectable antipsychotic use ranged between 76.4%-80.3% and 7.8%-12.7%, respectively. Among patients with ≥6 months of follow-up, 52.2% in the rejected and 53.1% in the reversed cohorts had a subsequent paid PP1M claim during the study period; the median (quartile 1-quartile 3) time to the first paid PP1M claim was 22 (5-74) days for rejection and 11 (1-41) days for reversal. In the rejected and reversed cohorts, 10.2% (n = 111) and 9.8% (n = 90) of patients, respectively, did not receive any paid claim for an antipsychotic after the initial PP1M rejection/reversal. The prevalence of schizophrenia/SCA-related hospitalization during follow-up was similar between patients with a paid (7.4%) and rejected PP1M claim (7.0%; P = 0.689) but higher among patients with a reversed claim (10.8%; P = 0.004). After adjusting for confounders, patients in the reversed cohort were 39% more likely to have a schizophrenia/SCA-related hospitalization than those in the paid cohort (odds ratio = 1.39; 95% CI = 1.03-1.87).

CONCLUSIONS

Payer rejection and patient reversal of initial PP1M claims is a form of primary nonadherence and may influence patient trajectory. Data from this study suggest that patient reversal of PP1M may lead to an increased risk of schizophrenia/SCA-related hospitalizations, potentially caused by missed or delayed treatment. Policy initiatives that remove barriers to primary adherence or fulfillment may help improve patients' clinical outcomes.

[Adherence to chest physiotherapy in adults with cystic fibrosis]

INTRODUCTION

Chest-physiotherapy is a key element in treatment of cystic fibrosis and patient adherence is a major issue in global cystic fibrosis care. This study aims to assess adherence to chest physiotherapy in adults with cystic fibrosis who not treated with tritherapy and to analyze the impact of certain factors on adherence.

METHODS

Thus is a cross-sectional study, conducted using a questionnaire and a physiotherapy evaluation. Adherence to this treatment was measured in terms of quantitative and qualitative aspects. The impact on adherence of 15 factors was then assessed.

RESULTS

Only 47% of patients could be considered as adherent, with a significant disparity between a quantitative and qualitative assessment. Gender, working time, pathology severity, the fact of being regularly followed by a physiotherapist, the perceived benefit of the sessions and their replacement by physical activity, seem associated with adherence to this treatment.

CONCLUSIONS

Taking into account the qualitative aspect of the sessions, our study reveals a low rate, in our cohort, of adherence to respiratory physiotherapy, and highlights six factors likely to predominate. Regular follow-up by a physiotherapist seems to be a determining factor in adherence to this treatment.

Nonadherence to antiseizure medications: what have we learned and what can be done next?

INTRODUCTION

Nonadherence to antiseizure medications (ASMs) is associated with increased mortality, morbidity, health care utilization, and costs.

AREAS COVERED

This article reviewed 18 randomized controlled trials published between Jan 2010 and Feb 2024 on Medication Adherence Enhancing Intervention (MAEI) for people with epilepsy. The adequacy of reporting intervention development process was assessed using the GUIDance for the rEporting of intervention Development (GUIDED). The adequacy of the intervention description was assessed using the Template for Intervention Description and Replication (TIDieR) checklist. The interventions were categorized as educational (n = 7), behavioral (n = 5), or mixed (n = 6). The impact of MAEIs on adherence is mixed with majority of studies either reporting no difference between intervention and control groups (n = 6) or improvement in the intervention group (n = 7). The shortcomings in the reporting of MAEIs development, MAEIs description, and MAEIs impact measurement were discussed.

EXPERT OPINION

Future research needs to accomplish the following tasks: 1) develop and test valid epilepsy-specific self-report measures for assessing adherence; 2) optimize intervention design; and 3) increase transparency in reporting all stages of research.

Initial non-adherence to lipid-lowering medication: a systematic literature review

BACKGROUND

The impact on cardiovascular health is lost when a patient does not obtain a newly prescribed lipid-lowering medication, a situation termed "initial medication nonadherence" (IMN). This research summarizes the published evidence on the prevalence, associated factors, consequences, and solutions for IMN to prescribed lipid-lowering medication in the United States.

METHODS

A systematic literature search using PubMed and Google Scholar, along with screening citations of systematic reviews, identified articles published from 2010 to 2021. Studies reporting results of IMN to lipid-lowering medications were included. Studies that evaluated non-adult or non-US populations, used weaker study designs (e.g., case series), or were not written in English were excluded.

RESULTS

There were 19 articles/18 studies that met inclusion and exclusion criteria. Estimates of the prevalence of IMN to newly prescribed lipid-lowering medications ranged from 10 to 18.2% of patients and 1.4-43.8% of prescriptions (n = 9 studies). Three studies reported prescriber and patient characteristics associated with IMN. Hispanic ethnicity, Black race, lower Charlson Comorbidity Index score and no ED visits or hospitalization were associated with IMN. Lipid lowering prescriptions from primary care providers were also associated with IMN. Four studies described patient-reported reasons for IMN, including preference for lifestyle modifications, lack of perceived need, and side effect concerns. Four intervention studies reported mixed results with automated calls, live calls, or letters. One study reported worse clinical outcomes in patients with IMN: higher levels of low-density lipoprotein and greater risk of emergency department visits.

CONCLUSIONS

Up to one-fifth of patients fail to obtain a newly prescribed lipid-lowering medication but there is limited information about the clinical consequences. Future research should assess outcomes and determine cost-effective approaches to address IMN to lipid-lowering therapy.

Preventing medication nonadherence: a framework for interventions to support early engagement with treatment

ABSTRACTMedication nonadherence is common and results in avoidable morbidity, mortality, and burdens on healthcare systems. This paper proposes a preventative approach to medication nonadherence. We consider existing evidence on the prevalence and determinants of nonadherence early in a patient's medication-taking journey, and map these to potential opportunities for intervention. Many patients stop taking a new medication soon after they are prescribed it, often not collecting the medication. Early patterns of nonadherence are linked to later nonadherence via processes such as habit formation and symptom experiences. Known predictors of nonadherence may be present before someone starts a new treatment, when patients experience disruption to their lives and identity due to illness. Healthcare professionals typically have contact with patients around this time. We argue that it may be possible to prevent medication nonadherence: at the population level; by optimising the prescription process; and through low- and high-intensity interventions for patients with identified early barriers. We give examples of specific interventions and tools that might be needed to operationalise this approach in practice and propose new directions for research to promote early engagement with medication to prevent nonadherence.

Not obtaining a medication the first time it is prescribed: primary non-adherence to cardiovascular pharmacotherapy

Primary medication non-adherence describes the situation when a first prescription for a new medication is never filled. Primary non-adherence is an important, yet understudied aspect of reduced effectiveness of pharmacotherapy. This review summarizes the frequency, impact, reasons, predictors, and interventions regarding primary non-adherence to cardiovascular/cardiometabolic drugs. The current literature reveals a high prevalence of primary non-adherence. The individual risk of primary non-adherence is determined on multiple factors, e.g., primary non-adherence of lipid-lowering drugs is higher compared to antihypertensive medications. However, the overall rate of primary non-adherence is > 10%. Additionally, this review identifies specific areas for research to better understand why patients forgo evidence-based beneficial pharmacotherapy and to explore targeted interventions. At the same time, measures to reduce primary non-adherence-once proven to be effective-may represent an important new opportunity to reduce cardiovascular diseases.

Nurses' responses to patients' medication self-management problems in hospital and the use of recommendations

This study aimed to describe the use of recommendations as a guide for healthcare providers to support patients experiencing medication self-management problems and to evaluate their feasibility, user-friendliness and usefulness. Between March and August 2023, 58 hospitalized patients completed a self-assessment on medication self-management problems. The problems addressed in this self-assessment were based on a list of frequently encountered medication self-management problems from previous research. Consequently, 18 nurses responded to the reported problems using the recommendations. Nurses evaluated the feasibility, user-friendliness and usefulness of these recommendations through a survey. A total of 217 medication self-management problems were reported by 58 patients. Nurses intervened in 52% of the problems using the recommendations. According to nurses, the recommendations were user-friendly and feasible but required a substantial time investment. Considering these pilot-based results, the recommendations have the potential to be a valuable resource for nurses in practice, though this potential requires further exploration.

Case-control study on challenges in loss of follow-up care and the limitations in the reach of HIV policies for women

INTRODUCTION

HIV has transitioned from a devastating 1980s epidemic to a manageable chronic condition with antiretroviral therapy. In Brazil, challenges persist, including high detection rates and loss of medical follow-up among people living with HIV/AIDS (PLHIV). Adherence, engagement, and avoiding loss to follow-up are critical for effective HIV/AIDS prevention and care.

OBJECTIVES

This case-control study within longitudinal research on PLHIV linkage and retention in Porto Alegre aims to analyze factors associated with treatment abandonment.

METHODS

The study, based on patients from the Therapeutic Care Service for HIV and AIDS at Sanatorio Partenon Hospital, involved 360 PLHIV in a retention and linkage outpatient clinic.

RESULTS

Risk factors for loss to follow-up include cisgender women, diagnosis between 1991 and 2005, and non-adherence to antiretroviral treatment (ART). Conversely, cisgender men, diagnosis between 2015 and 2023, and good ART adherence were protective factors.

CONCLUSION

Gender disparities and ART non-adherence pose significant challenges in comprehensive PLHIV care. Cisgender women diagnosed before 2005 face higher risk, while cisgender men diagnosed after 2015 with good ART adherence are more protected, influencing care and prevention strategies for PLHIV.

Medication Adherence in Adults with Chronic Diseases in Primary Healthcare: A Quality Improvement Project

(1) Background: Medication adherence is influenced by a variety of intricate factors, presenting hurdles for nurses working to improve it among adults with chronic conditions. Pinpointing the reasons for non-adherence is crucial for customizing interventions. The objective of this quality improvement project was to improve medication adherence among adults with chronic diseases in primary healthcare by promoting evidence-based practices, identifying barriers and facilitators to compliance, and developing strategies to ensure optimal adherence through engaging the nursing team, enhancing knowledge, and evaluating the effectiveness of the implemented strategies. (2) Methods: This study was a quality improvement project that utilized the JBI Evidence Implementation framework, the Practical Application of Clinical Evidence System, and the Getting Research into Practice audit tool across three phases: (i) forming a project team and conducting a baseline audit, (ii) offering feedback via the GRiP tool, and (iii) conducting a follow-up audit to assess best practice outcomes. The study was conducted between September 2021 and March 2022 in the community care unit of Algarve Regional Health Administration, targeting adults with chronic illnesses. (3) Results: A total of 148 individuals were audited, including 8 nurses, 70 baseline patients, and 70 post-implementation patients. Initial compliance with key best practices was low, with several criteria at 0% compliance at baseline. Post-intervention, we observed significant improvements; compliance with key best practices improved dramatically, with many reaching 100%. Notable improvements included enhanced patient education on medication management, regular medication adherence assessments, and increased engagement of healthcare professionals in adherence activities. (4) Conclusions: This quality improvement project demonstrated that structured, evidence-based interventions could significantly enhance medication adherence among adults with chronic diseases. The success of the project highlights the potential of similar strategies to be applied broadly in primary healthcare settings to improve health outcomes.

Improving Assessment of Adherence Behaviors and Drivers: Targeted Literature Review and Concept Elicitation Interviews in Multiple Countries and Disease Populations

Purpose

Medication adherence is crucial for achieving clinical goals. Medication adherence drivers and behaviors were explored across multiple conditions, countries, and medication schedules/modalities to develop a conceptual model of medication adherence, which could later be used to support development of a patient-reported outcome (PRO) measure of adherence.

Patients and Methods

Targeted review of qualitative literature identified important medication adherence concepts. Fifty-seven qualitative concept elicitation interviews were conducted (USA n=21, Spain n=18, Germany n=18). Participants were prescribed medication for: hypertension (n=9), asthma (n=8), multiple myeloma (n=8), psoriasis (n=8), diabetes (n=7), depression (n=7), multiple sclerosis (n=7), and/or schizophrenia (n=6). Thematic analysis of verbatim transcripts was performed. Expert clinicians (n=3) provided input throughout.

Results

Nine qualitative articles were selected for review from 2168 screened abstracts. Forty-two medication adherence concepts were reported and grouped into 10 domains. Eight forms of medication adherence were reported during interviews, along with 27 drivers of non-adherence, all of which were incorporated into a conceptual model. Participants reported skipping medication doses (n=36/57; 63.2%) or taking medication later in the day than prescribed (n=29/57; 50.9%). Common drivers of non-adherence included forgetfulness (n=35/57; 61.4%), being out of the usual routine (n=31/57; 54.4%) and being busy (n=22/57; 38.6%). US participants were more likely to report non-adherence due to low perceived efficacy (n=6/21, 28.6%) and cost (n=5/21, 23.8%) than German (n=1/18, 5.6%; n=0/18, 0.0%) or Spanish (n=2/18, 11.1%; n=1/18, 5.6%) participants.

Conclusion

Findings highlight the diverse forms and drivers of medication non-adherence, informing the development of a comprehensive conceptual model of medication adherence. The conceptual model builds on and advances previous models of medication adherence and can be used by healthcare professionals to understand and interpret barriers to medication adherence and how best to support patients in taking their medication as intended.

Factors associated with poor adherence to medication in patients with diabetes and hypertension in Peru: findings from a pooled analysis of six years of population-based surveys

OBJECTIVE

To evaluate the factors associated with poor medication adherence in patients with DM and HTN in Peru.

STUDY DESIGN

A cross-sectional study.

METHODS

We analyzed data from the Peruvian Demographic and Family Health Survey from 2014 to 2019. Adjusted prevalence ratios (aPR) and their respective 95% confidence intervals (CI) were estimated to determine the factors associated with poor medication adherence.

RESULTS

We included 15,184 participants with a known diagnosis of DM and HTN. The frequency of poor medication adherence was 37.1%, with 36.7% among individuals with HTN and 29.2% among individuals with DM. Those belonging to age groups above 30 years (aPR: 0.77; 95% CI: 0.74-0.80, for the group ≥ 60 years) had a lower frequency of poor medication adherence. Meanwhile, being male (aPR: 1.03; 95% CI: 1.01-1.05), lacking health insurance (aPR: 1.08; 95% CI: 1.05-1.10), belonging to lower wealth quintiles (aPR: 1.12; 95% CI: 1.08-1.17, for the first quintile), and living in the mountain region (aPR: 1.09; 95% CI: 1.06-1.12) were associated with a higher frequency of poor medication adherence. These findings were consistent when stratifying by the type of disease.

CONCLUSION

This study showed that poor medication adherence is common in patients with HTN and DM in Peru and is associated with sociodemographic factors, highlighting the importance of public health approaches to improve adherence.

Price transparency at the point of prescribing with real-time prescription benefits

PURPOSE

Real-time prescription benefits (RTPB) shows prescribers patient-, medication-, and pharmacy-specific information on medication pricing, prior authorization requirements, and lower-cost alternatives. RTPB is intended to improve patient satisfaction and prescription fill rates by decreasing out-of-pocket costs for prescriptions. Therefore, we evaluated how RTPB affects prescribing patterns by examining acceptance and subsequent fill rates for RTPB alternative suggestions.

METHODS

RTPB was implemented in February 2022 using external vendor interfaces. Prescribing data from March 2022 to March 2023 were analyzed. RTPB displayed alerts for medications requiring prior authorization or when alternative medications would result in cost savings. Patients were included if their prescription received an RTPB response and they had a subsequent encounter with pharmacy fill data. Primary outcomes were alert acceptance rates and prescription fill rates across RTPB alert groups, with a secondary outcome of monthly copay savings for accepted alerts.

RESULTS

RTPB requests received a response for 88% of prescriptions, with price estimates provided for 77.9% of them. Lower-cost alternatives accounted for 67.2% of alerts, while prior authorization requirements represented 15% of alerts. Prescribers selected a lower-cost alternative 32% of the time. For those with an RTPB alert, patients filled prescriptions 68% of the time when an alternative was chosen, compared to 59% of the time when the original prescription was retained (odds ratio, 1.5; 95% confidence interval, 1.5-1.6; P < 0.001). Patients saved an average of $27.77 per month on copay costs when alternatives were selected.

CONCLUSION

Implementation of RTPB was found to result in significant improvements in prescription fill rates and decrease patient copay costs, despite low alert acceptance rates.

Access to a tailored mobile application enhances medication adherence among young users of antidepressants

Introduction

Patients' adherence to antidepressants is generally reported to be poor. This study examined whether users of selective serotonin reuptake inhibitors (SSRIs) and serotonin and norepinephrine reuptake inhibitors (SNRIs) enhance medication adherence following access to a mobile application (app) tailored for this patient group. The study addresses the implementation phase of medication adherence.

Methods

The study was a single group pre-post intervention design. Data were collected using the validated OsloMet Adherence-to-medication Survey tool (OMAS-37) before and after app access. Pre-app access survey (Survey 1) was conducted via social media and online newspapers, encompassing 445 SSRI/SNRI users aged 18 years and above. Post-app access survey (Survey 2) was sent to 103 SSRI/SNRI users from Survey 1. Wilcoxon Signed Rank Test compared pre- and post-intervention adherence measurements. Pearson's chi-square tests and Fisher's exact tests compared study population categories.

Results

Forty-two SSRI/SNRI users, median age 26 (IQR 17), 93% identifying as female, used the app while using the same antidepressant during the 2-month period between gaining access to the app and Survey 2. There was a statistically significant reduction in non-adherence score post-app access (z = 3.57, n = 42, p < 0.001) with medium effect size (r = 0.39), indicating enhanced adherence. Total non-adherence score decreased by 39% from pre-to post-access, and there was a 12% decrease in users scoring equivalent with poor adherence (score <2) post-access. Twenty-nine of 37 non-adherence causes improved, with three showing statistical significance. Of 42 responders, 50% (n = 21) indicated using the app one to two times, while 50% (n = 21) more than three times. Approximately 69% (n = 28) found it useful, and 43% (n = 18) felt safer in their use of antidepressants after access to the app. No significant preference was observed for the app over alternative sources of information.

Discussion

Enhanced medication adherence was observed among antidepressant users following access to the tailored app. Further studies are warranted to evaluate the app applicability to a broader range of antidepressants users or other patient groups, encompassing those in the initiation phase of medication adherence. The app is intended as an easily accessible supplement to the information and advice provided by prescribing physicians and dispensing pharmacists.

Effect of Food Consumption on the Pharmacokinetics, Safety, and Tolerability of Once-Daily Orally Administered Orforglipron (LY3502970), a Non-peptide GLP-1 Receptor Agonist

INTRODUCTION

We assessed the effect of the prandial state on the pharmacokinetics, safety, and tolerability of single and multiple doses of orforglipron (LY3502970), an oral, non-peptide glucagon-like peptide 1 receptor agonist (GLP-1 RA), in two studies (A and B).

METHODS

Study A and study B were phase 1, randomized, crossover studies in healthy adults aged 18-65 years and 21-70 years, respectively. Participants received single (3 mg, study A) or multiple (16 mg, study B) oral doses of orforglipron under fasted and fed conditions. Blood samples were collected pre- and postdose to assess area under the concentration-time curve (AUC), maximum observed drug concentration (Cmax), time of Cmax (tmax), and half-life (t1/2) associated with terminal rate constant. AUC and Cmax were analyzed using a linear mixed-effects model. Treatment differences were presented as ratios of geometric least squares means (GLSM). Treatment-emergent adverse events (TEAEs), adverse events of special interest, and serious adverse events were assessed.

RESULTS

Study A included 12 participants (mean age 45.0 years; male 66.7%); study B included 34 participants (mean age 42.8 years; male 88.2%). GLSM AUC and Cmax were lower by 23.7% and 23.2% in study A, and 17.6% and 20.9% in study B, in the fed versus fasted states, respectively. In both studies, t1/2 and median tmax were comparable between fed and fasted states. The majority of TEAEs in both studies were gastrointestinal tract-related conditions. No serious adverse events or deaths were reported in either study.

CONCLUSION

The observed pharmacokinetic differences due to the prandial state are unlikely to contribute to clinically meaningful differences in the efficacy of orforglipron. The safety profile was consistent with the known profiles of other GLP-1 RAs. Given the absence of prandial restrictions, orforglipron may emerge as a convenient oral treatment option for patients with type 2 diabetes or obesity.

TRIAL REGISTRATION

ClinicalTrials.gov identifiers, NCT03929744 and NCT05110794.

Trajectories of oral bisphosphonate use after hip fractures: a population-based cohort study

Bisphosphonates prevent future hip fractures. However, we found that one in six patients with hip fractures had a delay in bisphosphonate initiation and another one-sixth discontinued treatment within 12 months after discharge. Our results highlight the need to address hesitancy in treatment initiation and continuous monitoring.

PURPOSE

Suboptimal antiresorptive use is not well understood. This study investigated trajectories of oral bisphosphonate use following first hip fractures and factors associated with different adherence and persistence trajectories.

METHODS

We conducted a retrospective study of all patients aged ≥ 50 years dispensed two or more bisphosphonate prescriptions following first hip fracture in Victoria, Australia, from 2012 to 2017. Twelve-month trajectories of bisphosphonate use were categorized using group-based trajectory modeling. Factors associated with different trajectories compared to the persistent adherence trajectory were assessed using multivariate multinomial logistic regression.

RESULTS

We identified four patterns of oral bisphosphonate use in 1811 patients: persistent adherence (66%); delayed dispensing (17%); early discontinuation (9%); and late discontinuation (9%). Pre-admission bisphosphonate use was associated with a lower risk of delayed dispensing in both sexes (relative risk [RR] 0.28, 95% confidence interval [CI] 0.21-0.39). Older patients ( ≥ 85 years old versus 50-64 years old, RR 0.38, 95% CI 0.22-0.64) had a lower risk of delayed dispensing. Males with anxiety (RR 9.80, 95% CI 2.24-42.9) and females with previous falls had increased risk of early discontinuation (RR 1.80, 95% CI 1.16-2.78).

CONCLUSION

Two-thirds of patients demonstrated good adherence to oral bisphosphonates over 12 months following hip fracture. Efforts to further increase post-discharge antiresorptive use should be sex-specific and address possible persistent uncertainty around delaying treatment initiation.

Methodological guidance for the use of real-world data to measure exposure and utilization patterns of osteoporosis medications

Observational studies of osteoporosis medications can provide critical real-world evidence (RWE) that fills knowledge gaps left by clinical trials. However, careful consideration of study design is needed to yield reliable estimates of association. In particular, obtaining valid measurements of exposure to osteoporosis medications from real-world data (RWD) sources is complicated due to different medication classes, formulations, and routes of administration, each with different pharmacology. Extended half-lives of bisphosphonates and extended dosing of denosumab and zoledronic acid require particular attention. In addition, prescribing patterns and medication taking behavior often result in gaps in therapy, switching, and concomitant use of osteoporosis therapies. In this review, we present important considerations and provide specialized guidance for measuring osteoporosis drug exposures in RWD. First, we compare different sources of RWD used for osteoporosis drug studies and provide guidance on identifying osteoporosis medication use in these data sources. Next, we provide an overview of osteoporosis pharmacology and how it can influence decisions on exposure measurement within RWD. Finally, we present considerations for the measurement of osteoporosis medication exposure, adherence, switching, long-term exposures, and drug holidays using RWD. Ultimately, a thorough understanding of the differences in RWD sources and the pharmacology of osteoporosis medications is essential to obtain valid estimates of the relationship between osteoporosis medications and outcomes, such as fractures, but also to improve the critical appraisal of published studies.

Management of Hypertension in the Asia-Pacific Region: A Structured Review

This article reviews available evidence regarding hypertension management in the Asia-Pacific region, focussing on five research questions that deal with specific aspects: blood pressure (BP) control, guideline recommendations, role of renin-angiotensin-aldosterone system (RAAS) inhibitors in clinical practice, pharmacological management and real-world adherence to guideline recommendations. A PubMed search identified 2537 articles, of which 94 were considered relevant. Compared with Europeans, Asians have higher systolic/diastolic/mean arterial BP, with a stronger association between BP and stroke. Calcium channel blockers are the most-commonly prescribed monotherapy in Asia, with significant variability between countries in the rates of angiotensin-converting enzyme inhibitors (ACEis)/angiotensin-receptor blockers (ARBs) and single-pill combination (SPC) use. In clinical practice, ARBs are used more commonly than ACEis, despite the absence of recommendation from guidelines and clinical evidence supporting the use of one class of drug over the other. Ideally, antihypertensive treatment should be tailored to the individual patient, but currently there are limited data on the characteristics of hypertension in Asia-Pacific individuals. Large outcome studies assessing RAAS inhibitor efficacy and safety in multi-national Asian populations are lacking. Among treated patients, BP control rates were ~ 35 to 40%; BP control in Asia-Pacific is suboptimal, and disproportionately so compared with Western nations. Strategies to improve the management of hypertension include wider access/availability of affordable treatments, particularly SPCs (which improve adherence), effective public health screening programs targeting patients to drive health-seeking behaviours, an increase in physician/patient awareness and early implementation of lifestyle changes. A unified Asia-Pacific guideline on hypertension management with pragmatic recommendations, particularly in resource-limited settings, is essential.

Following Physician's Advice in Late Life: The Roles of Health Beliefs and Health Status

Objective

This study aims to explore the influence of health-related locus of control beliefs such as belief in the role of health professionals in influencing patient health, cognitive functioning, and multimorbidity on adherence to physician's recommendations among older adults.

Methods

A cross-sectional study involving older adults (N=684, age range = 71-100 years) living in Clearwater, Florida, reported their adherence to physician's recommendations, cognitive functioning, physical health, and health-related locus of control beliefs. Ordered Logistic regression was used.

Results

Older adults who believed that health professionals influence health and a person is likely to recover from illness because other people take good care of him/her had higher adherence to physician's recommendations. Older adults who believed that their own action affects their health had lower odds of reporting adherence by 27%. Additionally, those with cognitive impairment had lower odds of reporting adherence by 38%. Functional limitations, multimorbidity, and self-image of health were not associated with adherence.

Conclusion

This is one of the first studies to consider the influence of locus of control beliefs on adherence of physician's recommendations among community dwelling older adults. With the exception of one item "My good health is largely a matter of good fortune", generally individuals with external locus of control had higher adherence. Our findings also underscore the policy and clinical significance of different health-related beliefs held by older adults.

Socioeconomic factors associated with poor medication adherence in patients with type 2 diabetes

PURPOSE

This study aims to determine initiation and persistence for patients with type 2 diabetes receiving their first prescription of an antidiabetic agent and the associations with socioeconomic factors.

METHODS

A cohort study including 8515 patients with type 2 diabetes who were prescribed their first antidiabetic medication between 2012 and 2019 in Uppsala, Sweden, was followed during 2 years. Medical records were linked to national registers on dispensed drugs and socioeconomic data. Adherence was assessed based on patients' medication claims within 30 days of prescription (initiation) and continued claims after 24 months (persistence). Multivariable logistic regression was used to determine the associations with the socioeconomic factors age, sex, living status, country of birth, education, occupation, and income.

RESULTS

Within 30 days, 92.4% of the patients claimed their first prescription, and 64.0% were still being dispensed the initially prescribed medication after 24 months. Unemployed patients had lower initiation rates, and women had lower persistence rates. Factors associated with both low initiation and persistence were low income, young or old age, birth outside Europe, and being prescribed other diabetes drugs than metformin monotherapy.

CONCLUSION

Socioeconomic factors have different impact on the initiation of a new medication and the persistence to treatment in type 2 diabetes. It is important to acknowledge these differences to develop appropriate interventions to improve medication nonadherence.

Efficacy of eHealth Technologies on Medication Adherence in Patients With Acute Coronary Syndrome: Systematic Review and Meta-Analysis

BACKGROUND

Suboptimal adherence to cardiac pharmacotherapy, recommended by the guidelines after acute coronary syndrome (ACS) has been recognized and is associated with adverse outcomes. Several randomized controlled trials (RCTs) have shown that eHealth technologies are useful in reducing cardiovascular risk factors. However, little is known about the effect of eHealth interventions on medication adherence in patients following ACS.

OBJECTIVE

The aim of this study is to examine the efficacy of the eHealth interventions on medication adherence to selected 5 cardioprotective medication classes in patients with ACS.

METHODS

A systematic literature search of PubMed, Embase, Scopus, and Web of Science was conducted between May and October 2022, with an update in October 2023 to identify RCTs that evaluated the effectiveness of eHealth technologies, including texting, smartphone apps, or web-based apps, to improve medication adherence in patients after ACS. The risk of bias was evaluated using the modified Cochrane risk-of-bias tool for RCTs. A pooled meta-analysis was performed using a fixed-effect Mantel-Haenszel model and assessed the medication adherence to the medications of statins, aspirin, P2Y12 inhibitors, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and β-blockers.

RESULTS

We identified 5 RCTs, applicable to 4100 participants (2093 intervention vs 2007 control), for inclusion in the meta-analysis. In patients who recently had an ACS, compared to the control group, the use of eHealth intervention was not associated with improved adherence to statins at different time points (risk difference [RD] -0.01, 95% CI -0.03 to 0.03 at 6 months and RD -0.02, 95% CI -0.05 to 0.02 at 12 months), P2Y12 inhibitors (RD -0.01, 95% CI -0.04 to 0.02 and RD -0.01, 95% CI -0.03 to 0.02), aspirin (RD 0.00, 95% CI -0.06 to 0.07 and RD -0.00, 95% CI -0.07 to 0.06), angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (RD -0.01, 95% CI -0.04 to 0.02 and RD 0.01, 95% CI -0.04 to 0.05), and β-blockers (RD 0.00, 95% CI -0.03 to 0.03 and RD -0.01, 95% CI -0.05 to 0.03). The intervention was also not associated with improved adherence irrespective of the adherence assessment method used (self-report or objective).

CONCLUSIONS

This review identified limited evidence on the effectiveness of eHealth interventions on adherence to guideline-recommended medications after ACS. While the pooled analyses suggested a lack of effectiveness of such interventions on adherence improvement, further studies are warranted to better understand the role of different eHealth approaches in the post-ACS context.

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with stakeholders (patients, providers, and technologists). We used a human-centred design approach to incorporate user needs in creating an AI-driven nudge tool. We report the findings of the first stage of a multi-phase project: understanding user needs and ideating solutions. We interviewed healthcare providers (n = 10) and patients (n = 10). Providers also rated example nudge interventions in a survey. Stakeholders felt the intervention could address existing deficits in medication adherence tracking and were optimistic about the solution. Participants identified flexibility of the intervention, including mode of delivery, intervention intensity, and the ability to stratify to user ability and needs, as critical success factors. Reminder nudges and provision of healthcare worker contact were rated highly by all. Conversely, patients perceived incentive-based nudges poorly. Finally, participants suggested that user burden could be minimised by leveraging existing software (rather than creating a new App) and simplifying or automating the data entry requirements where feasible. Stakeholder interviews generated in-depth data on the perspectives and requirements for the proposed solution. The participatory approach will enable us to incorporate user needs into the design and improve the utility of the intervention. Our findings show that an AI-driven nudge tool is an acceptable and appropriate solution, assuming it is flexible to user requirements.

Cohort profile: a large EHR-based cohort with linked pharmacy refill and neighbourhood social determinants of health data to assess heart failure medication adherence

PURPOSE

Clinic-based or community-based interventions can improve adherence to guideline-directed medication therapies (GDMTs) among patients with heart failure (HF). However, opportunities for such interventions are frequently missed, as providers may be unable to recognise risk patterns for medication non-adherence. Machine learning algorithms can help in identifying patients with high likelihood of non-adherence. While a number of multilevel factors influence adherence, prior models predicting non-adherence have been limited by data availability. We have established an electronic health record (EHR)-based cohort with comprehensive data elements from multiple sources to improve on existing models. We linked EHR data with pharmacy refill data for real-time incorporation of prescription fills and with social determinants data to incorporate neighbourhood factors.

PARTICIPANTS

Patients seen at a large health system in New York City (NYC), who were >18 years old with diagnosis of HF or reduced ejection fraction (<40%) since 2017, had at least one clinical encounter between 1 April 2021 and 31 October 2022 and active prescriptions for any of the four GDMTs (beta-blocker, ACEi/angiotensin receptor blocker (ARB)/angiotensin receptor neprilysin inhibitor (ARNI), mineralocorticoid receptor antagonist (MRA) and sodium-glucose cotransporter 2 inhibitor (SGLT2i)) during the study period. Patients with non-geocodable address or outside the continental USA were excluded.

FINDINGS TO DATE

Among 39 963 patients in the cohort, the average age was 73±14 years old, 44% were female and 48% were current/former smokers. The common comorbid conditions were hypertension (77%), cardiac arrhythmias (56%), obesity (33%) and valvular disease (33%). During the study period, 33 606 (84%) patients had an active prescription of beta blocker, 32 626 (82%) had ACEi/ARB/ARNI, 11 611 (29%) MRA and 7472 (19%) SGLT2i. Ninety-nine per cent were from urban metropolitan areas.

FUTURE PLANS

We will use the established cohort to develop a machine learning model to predict medication adherence, and to support ancillary studies assessing associates of adherence. For external validation, we will include data from an additional hospital system in NYC.

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

Purpose

This study aims to identify the novel risk predictors of low medication adherence of cirrhosis patients in a large cohort and construct an applicable predictive model to provide clinicians with a simple and precise personalized prediction tool.

Patients and Methods

Patients with cirrhosis were recruited from the inpatient populations at the Department of Infectious Diseases of Tangdu Hospital. Patients who did not meet the inclusion criteria were excluded. The primary outcome was medication adherence, which was analyzed by the medication possession ratio (MPR). Potential predictive factors, including demographics, the severity of cirrhosis, knowledge of disease and medical treatment, social support, self-care agency and pill burdens, were collected by questionnaires. Predictive factors were selected by univariable and multivariable logistic regression analysis. Then, a nomogram was constructed. The decision curve analysis (DCA), clinical application curve analysis, ROC curve analysis, Brier score and mean squared error (MSE) score were utilized to assess the performance of the model. In addition, the bootstrapping method was used for internal validation.

Results

Among the enrolled patients (460), most had good or moderate (344, 74.78%) medical adherence. The main risk factors for non-adherence include young age (≤50 years), low education level, low income, short duration of disease (<10 years), low Child-Plush class, poor knowledge of disease and medical treatment, poor social support, low self-care agency and high pill burden. The nomogram comprised these factors showed good calibration and good discrimination (AUC = 0.938, 95% CI = 0.918-0.956; Brier score = 0.14). In addition, the MSE value was 0.03, indicating no overfitting.

Conclusion

This study identified predictive factors regarding low medication adherence among patients with cirrhosis, and a predictive nomogram was constructed. This model could help clinicians identify patients with a high risk of low medication adherence and intervention measures can be taken in time.

Real-world primary nonadherence to antiobesity medications

BACKGROUND: Primary nonadherence (PNA), when a medication is newly prescribed but not filled, has been identified as a major research gap potentially impacting the optimal treatment of patients with overweight and obesity who are newly prescribed antiobesity medications (AOMs). OBJECTIVES: To assess PNA among patients with newly prescribed AOMs and to examine factors associated with PNA to AOMs. METHODS: This was a retrospective study that used the Optum Integrated Clinical plus Claims database to identify individuals who had at least 1 prescription order for an AOM the US Food and Drug Administration approved for long-term use. Individuals with prescription orders between January 1, 2012, and February 28, 2019, were identified, and patient demographics, clinical characteristics, medication prescribed, baseline health care utilization, and obesity-related complications were described by PNA status. PNA was defined as no pharmacy claim for the AOM within 60 days of the date of the new prescription order as identified in electronic health record data. A multivariable logistic regression model was used to examine factors associated with PNA. RESULTS: The study sample included a total of 1,563 patients. The mean body mass index was 38.4 kg/m2; 10.7% were prescribed liraglutide 3.0 mg, 26.0% were prescribed lorcaserin, 36.3% of patients were prescribed naltrexone-bupropion, 5.4% were prescribed orlistat, and 21.6% were prescribed phentermine-topiramate. Most patients (91.1%) exhibited PNA, with only 8.9% filling their newly prescribed AOM within 60 days. Both the adherent and nonadherent groups were predominately female sex, White, and covered by commercial insurance. The mean age was similar between the 2 groups. Most obesity-related complications were less prevalent in the adherent group, although the Charlson comorbidity index score was similar between the 2 groups. After adjustment for patient demographics and clinical characteristics, there was not a statistically significant association between the specific AOM and PNA (P = 0.299). Patients with depression or living in the Midwest or South regions were at significantly increased risk of PNA. CONCLUSIONS: The rate of PNA to AOMs was very high, suggesting barriers in effective medical management of patients with overweight and obesity. Future research is warranted to understand reasons for PNA to AOMs and how to address these barriers. DISCLOSURES: Dr Kan, Dr Bae, Dr Dunn, and Dr Ahmad are employees of Eli Lilly and Company. Ms Buysman and Dr Gronroos are employees of Optum. Dr Swindle was an employee of Optum at the time the study was conducted and is currently employed at Evidera. Dr Bengtson is employed at Boehringer Ingelheim Pharmaceuticals, Inc. (Boehringer Ingelheim has no connection to this study), and during the conduct of this study was employed at Optum.

Impact of a pharmacist-led, primary medication nonadherence intervention program on prescription fills in underserved patient populations

BACKGROUND

Poor medication adherence is a critical barrier to improving patient health. Patients who are medically underserved are prone to a chronic disease state diagnosis and experience different social determinants of health.

OBJECTIVE

This study aimed to determine the impact of a primary medication nonadherence (PMN) intervention on prescription fills in underserved patient populations.

METHODS

This randomized control trial included 8 pharmacies that were chosen based on current poverty demographic data for each region in a metropolitan area as reported by the U.S. Census Bureau. Randomization was completed by a random number generator into (1) an intervention group or (2) a control group: (1) initiation of a PMN intervention and (2) no intervention offered on PMN. The intervention consists of a pharmacist addressing and resolving patient-specific barriers. Patients were enrolled in a PMN intervention at day 7 of a newly prescribed medication or a medication that has not been used in the previous 180 days, not being obtained for therapy. Data were collected to determine the number of eligible medications or therapeutic alternatives that were obtained after a PMN intervention was initiated and if that medication was refilled.

RESULTS

The intervention group consisted of 98 patients and the control group had 103. Rate of PMN was higher (P = 0.037) in the control group (71.15%) than the intervention group (47.96%). Cost and forgetfulness encompassed 53% of the barriers experienced by patients in the interventional group. The most commonly prescribed medication classes associated with PMN included statins (32.98%), renin angiotensin system antagonists (26.18%), oral diabetes medications (25.65%), and chronic obstructive pulmonary disease and corticosteroid inhalers (10.47%).

CONCLUSION

The rate of PMN had a statistically significant decrease when a pharmacist-led, evidence-based intervention was conducted with the patient. Although this study depicted a statistically significant decrease in PMN rates, larger studies are needed to strengthen the correlation between the decrease in PMN and a pharmacist-led, PMN intervention program.

Medication nonadherence: health impact, prevalence, correlates and interventions

Nonadherence to medicines is a global problem compromising health and economic outcomes for individuals and society. This article outlines how adherence is defined and measured, and examines the impact, prevalence and determinants of nonadherence. It also discusses how a psychosocial perspective can inform the development of interventions to optimise adherence and presents a series of recommendations for future research to overcome common limitations associated with the medication nonadherence literature. Nonadherence is best understood in terms of the interactions between an individual and a specific disease/treatment, within a social and environmental context. Adherence is a product of motivation and ability. Motivation comprises conscious decision-making processes but also from more 'instinctive', intuitive and habitual processes. Ability comprises the physical and psychological skills needed to adhere. Both motivation and ability are influenced by environmental and social factors which influence the opportunity to adhere as well as triggers or cues to actions which may be internal (e.g. experiencing symptoms) or external (e.g. receiving a reminder). Systematic reviews of adherence interventions show that effective solutions are elusive, partly because few have a strong theoretical basis. Adherence support targeted at the level of individuals will be more effective if it is tailored to address the specific perceptions (e.g. beliefs about illness and treatment) and practicalities (e.g. capability and resources) influencing individuals' motivation and ability to adhere.

The Development of Recommendations for Healthcare Providers to Support Patients Experiencing Medication Self-Management Problems

Medication self-management problems such as the inability to correctly obtain, understand, organize, administer or monitor medication can result in negative patient outcomes. However, supportive tools for healthcare providers to assist patients with medication self-management problems are lacking. This study aimed to develop recommendations for healthcare providers to support patients with polypharmacy who experience medication self-management problems. A three-phase study was conducted starting with (1) the mapping of medication self-management problems, followed by (2) a scoping review providing a list of relevant interventions and actions for each respective problem and (3) a three-round modified e-Delphi study with experts to reach consensus on the relevance and clarity of the recommended interventions and actions. The cut-off for consensus on the relevance and clarity of the recommendations was set at 80% expert agreement. Experts could propose additional recommendations based on their professional experience and expertise. The experts (n = 23) involved were healthcare professionals (i.e., nurses, pharmacists, and physicians) with specific expertise in medication management of patients with polypharmacy. Simultaneous with the second e-Delphi round, a panel of patients with polypharmacy (n = 8) evaluated the usefulness of recommendations. Results obtained from the patient panel were fed back to the panel of healthcare providers in the third e-Delphi round. Descriptive statistics were used for data analysis. Twenty medication self-management problems were identified. Based on the scoping review, a list of 66 recommendations for healthcare providers to support patients with the identified medication self-management problems was composed. At the end of the three-round e-Delphi study, the expert panel reached consensus on the relevance and clarity of 67 recommendations, clustered according to the six phases of the medication self-management model by Bailey et al. In conclusion, this study resulted in a guidance document including recommendations that can serve as a resource for healthcare providers to support patients with polypharmacy in case of medication self-management problems. Future research should focus on the evaluation of the feasibility and user-friendliness of the guide with recommendations in clinical practice.

Interrelations between clinical-psychological features and bone mineral density changes in post-menopausal women undergoing anti-osteoporotic treatment: a two-year follow-up

Introduction

Psychological features have been bidirectionally associated with osteoporosis, but it is still unclear whether patient's anxiety fluctuations during the anti-osteoporotic treatment can have an impact on bone mineral density (BMD) variation. The aim of this study was to investigate the interrelations between psychological distress features, such as anxiety, depression, health-related QoL (HRQoL) and bone health in women receiving anti-osteoporotic treatment.

Methods

192 post-menopausal osteoporotic women were treated with alendronate or risedronate according to the standard procedure. The levels of anxiety, depression, and perceived HRQoL, along with BMD, were assessed at baseline and at a 2-year follow-up.

Results

At the end of the study, the patients showed a statistically significant increase of both psychic and somatic anxiety (p<0.0001) and exhibited a worsening of depressive symptoms (p<0.0001), whereas HRQoL showed no change. BMD improved and no incident fractures occurred. BMD variation (ΔBMD) at lumbar spine was significantly associated with anxiety levels (r=0.23, p=0.021). Multiple regression analysis showed that both patients' worsening anxiety levels (β = -0.1283, SE=0.06142, p=0.04) and their treatment adherence (β=0.09, SE=0.02, p=0.0006) were independently associated with ΔBMD.

Discussion

The findings of the current follow-up study suggest that BMD in post-menopausal women undergoing anti-osteoporotic treatment was predicted by treatment adherence and anxiety change over time.

Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study

Management of chronic diseases is complex and requires a long-term commitment to therapeutic medications. However, medication adherence is suboptimal. There is limited understanding of factors predicting medication adherence in chronic diseases in Oman. This study aimed to examine predictors of medication adherence (i.e. patient clinical and demographic data, patient-physician relationship, health literacy, social support) among Omani patients with chronic diseases. This study used a cross-sectional correlation design. Data were collected from 800 participants using convenience sampling between December 2019 and April 2020. Arabic versions of the Brief Health Literacy Screening tool, Multidimensional Scale of Perceived Social Support, Patient-Doctor Relationship Questionnaire, and Adherence in Chronic Disease Scale were used to measure study variables. Descriptive statistics, independent t tests, one-way ANOVA, Pearson correlations, and multivariate linear regression were used for analysis. The study found that factors such as the patient-physician relationship, social support, disease duration, employment status, and medication frequency significantly predicted medication adherence. Medication adherence was higher among those who were unemployed, had a better patient-physician relationship, and greater social support. However, medication adherence was lower with longer disease duration and higher daily medication frequency. Additionally, medication adherence was positively associated with perceived social support and the patient-physician relationship, but not with health literacy. In conclusion, the study reveals that patient characteristics, social support, and patient-physician relationships are key factors in predicting medication adherence in patients with chronic diseases in the Middle East. It emphasizes the importance of improving these aspects, considering factors like employment status, disease duration, and medication frequency, and enhancing healthcare provider-patient relationships and social support systems to boost adherence.

Factors influencing medication adherence in multi-ethnic Asian patients with chronic diseases in Singapore: A qualitative study

Background: Poor medication adherence can lead to adverse health outcomes and increased healthcare costs. Although reasons for medication adherence have been widely studied, less is explored about factors affecting medication adherence for patients in non-Western healthcare setting and from Asian cultures. This study aimed to explore cultural perspectives on factors influencing medication adherence among patients with chronic diseases in a multi-ethnic Asian healthcare setting.

Methods: We conducted a qualitative study involving in-depth interviews with patients with chronic conditions purposively recruited from a community hospital in Singapore until data saturation was achieved. A total of 25 patients participated in this study. Interviews were transcribed and thematically analyzed. Themes were subsequently mapped into the World Health Organization (WHO) Framework of Medication Adherence.

Results: Participants commonly perceived that sides effects (therapy-related dimension), poor understanding of medication (patient-related dimension), limited knowledge of condition (patient-related dimension), forgetfulness (patient-related dimension) and language issues within a multi-ethnic healthcare context (healthcare team and system-related dimension) as the main factors contributing to medication adherence. Importantly, medication adherence was influenced by cultural beliefs such as the notion of modern medicines as harms and fatalistic orientations towards escalation of doses and polypharmacy (patient-related dimension). Participants made various suggestions to foster adherence, including improved patient-physician communication, enhanced care coordination across providers, use of language familiar to patients, patient education and empowerment on the benefits of medication and medication adjustment.

Conclusion: A wide range of factors influenced medication adherence, with therapy- and patient-related dimensions more pronounced compared to other dimensions. Findings demonstrated the importance of cultural beliefs that may influence medication adherence. Future efforts to improve medication adherence should consider a person-centered approach to foster more positive health expectations and self-efficacy on medication adherence, supplemented with routine reviews, development of pictograms and cultural competence training for healthcare professionals.

Identification of Asthma Phenotypes in the Spanish MEGA Cohort Study Using Cluster Analysis

INTRODUCTION

The definition of asthma phenotypes has not been fully established, neither there are cluster studies showing homogeneous results to solidly establish clear phenotypes. The purpose of this study was to develop a classification algorithm based on unsupervised cluster analysis, identifying clusters that represent clinically relevant asthma phenotypes that may share asthma-related outcomes.

METHODS

We performed a multicentre prospective cohort study, including adult patients with asthma (N=512) from the MEGA study (Mechanisms underlying the Genesis and evolution of Asthma). A standardised clinical history was completed for each patient. Cluster analysis was performed using the kernel k-groups algorithm.

RESULTS

Four clusters were identified. Cluster 1 (31.5% of subjects) includes adult-onset atopic patients with better lung function, lower BMI, good asthma control, low ICS dose, and few exacerbations. Cluster 2 (23.6%) is made of adolescent-onset atopic asthma patients with normal lung function, but low adherence to treatment (59% well-controlled) and smokers (48%). Cluster 3 (17.1%) includes adult-onset patients, mostly severe non-atopic, with overweight, the worse lung function and asthma control, and receiving combination of treatments. Cluster 4 (26.7%) consists of the elderly-onset patients, mostly female, atopic (64%), with high BMI and normal lung function, prevalence of smokers and comorbidities.

CONCLUSION

We defined four phenotypes of asthma using unsupervised cluster analysis. These clusters are clinically relevant and differ from each other as regards FEV1, age of onset, age, BMI, atopy, asthma severity, exacerbations, control, social class, smoking and nasal polyps.

A Pilot Study Exploring the Impact of a Primary Medication Non-Adherence Intervention among Four Chronic Disease States in One Regional Division of a Large Community Pharmacy Chain

There is a 12.2% rate of primary medication non-adherence (PMN) among community pharmacy patients. The Pharmacy Quality Alliance (PQA) has developed a standardized definition of PMN to aid stakeholders in addressing PMN. However, little research had been conducted to date on how to address PMN. The objective of the study was to determine the impact of an evidence-based adherence intervention program on PMN rates among four chronic disease states and to identify and characterize factors associated with PMN. Patients at risk of PMN were randomized into a control or intervention group. Those in the intervention group received a live call from a pharmacist to determine reason for and to discuss solutions to overcome PMN. Subjects included adult patients with newly prescribed medications used to treat diabetes, hypertension, hyperlipidemia, and/or chronic obstructive pulmonary disease (COPD). This study occurred in six pharmacies across one regional division of a national supermarket, community pharmacy chain. Prescriptions were considered newly initiated when the same drug, or its generic equivalent, had not been filled during the preceding 180 days. Prescriptions were considered at risk if they had not been obtained by day 7 of it being filled. Prescriptions were considered PMN if the patient had not obtained it, or an appropriate alternative, within 30 days after it was prescribed. During the 4-month intervention period, 203 prescriptions were included in the study with 94 in the intervention group and 109 in the control group. There was a 9% difference (p = 0.193) in PMN between the intervention group (44 patients, 47%) and the control group (61 patients, 56%). The therapeutic class most at risk of PMN was statins (34%). Cost (26%) and confusion/miscommunication (15%) were the most common reasons for PMN within the intervention group. Among the four chronic disease states studied, the intervention had the largest impact on hypertension. The PMN intervention did not significantly decrease PMN rates.

Using the national electronic prescription system to determine the primary non-adherence to medication in the Czech Republic

The primary medication non-adherence occurs when a patient does not collect his or her newly prescribed medication. Various studies give estimates that this occurs between 0.2 percent and 74 percent. Recently, this topic has been researched by analyzing data in national electronic prescription systems. The database of the Czech electronic prescription system was used to obtain the number of all prescriptions issued and collected in 2021 for fifty particular substances (associated with six medication groups). Additionally, a similar query was performed with an additional criterion that the same substance had not been prescribed within the last 365 days. The data were obtained separately in five age categories. The total number of prescriptions analyzed in this study was over 21 million, which represents almost 30 percent of all prescriptions issued in the Czech Republic in 2021. The primary medication non-adherence in the selected substances was 4.56 percent, which negatively correlates (rxy = 0.707) with the age of a patient. There is a higher primary non-adherence in the Psychoanaleptics and Lipid modifying medication groups than in the whole studied sample (p < 0.05). Lipid-modifying medication group and several other particular substances showed a larger difference between primary non-adherence and overall non-adherence, indicating issues in the initiation of these drugs. The results of our study are following earlier studies with similar methodologies from other countries. However, the difference between primary non-adherence and overall non-adherence had not been observed in other studies before. The electronic prescription system proved to be a valuable tool for conducting this type of research.

SPUR: A Patient-Reported Medication Adherence Model as a Predictor of Admission and Early Readmission in Patients Living with Type 2 Diabetes

PURPOSE

Poor medication adherence (MA) is linked to an increased likelihood of hospital admission. Early interventions to address MA may reduce this risk and associated health-care costs. This study aimed to evaluate a holistic Patient Reported Outcome Measure (PROM) of MA, known as SPUR, as a predictor of general admission and early readmission in patients living with Type 2 Diabetes.

PATIENTS AND METHODS

An observational study design was used to assess data collected over a 12-month period including 6-month retrospective and 6-month prospective monitoring of the number of admissions and early readmissions (admissions occurring within 30 days of discharge) across the cohort. Patients (n = 200) were recruited from a large South London NHS Trust. Covariates of interest included: age, ethnicity, gender, level of education, income, the number of medicines and medical conditions, and a Covid-19 diagnosis. A Poisson or negative binomial model was employed for count outcomes, with the exponentiated coefficient indicating incident ratios (IR) [95% CI]. For binary outcomes (Coefficient, [95% CI]), a logistic regression model was developed.

RESULTS

Higher SPUR scores (increased adherence) were significantly associated with a lower number of admissions (IR = 0.98, [0.96, 1.00]). The number of medical conditions (IR = 1.07, [1.01, 1.13]), age ≥80 years (IR = 5.18, [1.01, 26.55]), a positive Covid-19 diagnosis during follow-up (IR = 1.83, [1.11, 3.02]) and GCSE education (IR = 2.11, [1.15,3.87]) were factors associated with a greater risk of admission. When modelled as a binary variable, only the SPUR score (-0.051, [-0.094, -0.007]) was significantly predictive of an early readmission, with patients reporting higher SPUR scores being less likely to experience an early readmission.

CONCLUSION

Higher levels of MA, as determined by SPUR, were significantly associated with a lower risk of general admissions and early readmissions among patients living with Type 2 Diabetes.

Predictors of adherence and the role of primary non-adherence in antihormonal treatment of breast cancer

BACKGROUND

Antihormonal treatment for hormone receptor (HR) positive breast cancer has highly beneficial effects on both recurrence rates and survival. We investigate adherence and persistence in this group of patients.

METHODS

The study population comprised 1192 patients with HR-positive breast cancer who were prescribed adjuvant antihormonal treatment from 2004 to 2013. Adherence was defined as a medical possession ratio (MPR) of ≥80.

RESULTS

Of the 1192 included patients, 903 (75.8%) were adherent and 289 (24.2%) were non-adherent. Primary non-adherence was seen in 101 (8.5%) patients. The extremes of age (< 40 and ≥ 80 years) were associated with poor adherence. Patients with metastasis to axillary lymph nodes and those who received radiotherapy and/or chemotherapy were more likely to be adherent. Better adherence was also shown for those who switched medication at 2 years after diagnosis. Primary non-adherence seems to be associated with cancers with a good prognosis.

CONCLUSION

Adherence to antihormonal therapy for breast cancer is suboptimal. Primary non-adherence occurs among patients with a relatively good prognosis. Non-adherent patients tend to terminate their antihormonal therapy in the initial part of the treatment period. Targeted interventions to improve adherence should be focused on the first part of the treatment period.

Levothyroxine malabsorption or pseudomalabsorption? A question in the management of refractory hypothyroidism

PURPOSE

The levothyroxine absorption test (LT4AT) is an important tool for distinguishing hypothyroidism due to malabsorption from 'pseudomalabsorption' conditions. Our aim was to review our institution's LT4AT results and assess its role in the management of patients with refractory hypothyroidism.

METHODS

We performed a retrospective study of all patients evaluated for refractory hypothyroidism who underwent LT4AT in our tertiary center between 2014 and 2020. Its results and the impact on thyroid function management during follow-up were assessed.

RESULTS

Ten female patients were included with a mean age of 40 years (min-max: 26-62). Mean weight was 72 kg (min-max: 43-88) and baseline LT4 dosage ranged from 2.5 to 5.3 µg/kg/day. The most common causes of hypothyroidism were postsurgical in 50% (n = 5) and autoimmune in 20% (n = 2). During LT4AT, normal LT4 absorption was found in all but one individual (mean FT4 increase of 231%, min-max: 85-668). The only patient with objective LT4 absorption impairment (maximal increase of 48% by hour 5) presented also Helicobacter pylori gastritis and prior history of 'intestinal surgery' during childhood. No adverse events were reported during any of the LT4ATs. During follow-up (median 11.5 months (IQR 23)), three patients obtained euthyroidism and six had improved their hypothyroidism state.

CONCLUSIONS

The LT4AT is an effective and safe way to assess refractory hypothyroidism and provides valuable information to distinguish LT4 malabsorption from 'pseudomalabsorption'. Our data suggest that most patients with suspicious LT4 malabsorption perform normally during LT4AT. This test provides relevant information for better management of patients with refractory hypothyroidism.

Inequity in the healthcare utilization among latent classes of elderly people with chronic diseases and decomposition analysis in China

BACKGROUND

Studies have shown chronic disease-based healthcare utilization inequity is common. Hence, exploring this issue can help in establishing targeted measures and protecting the rights and interests of vulnerable groups. Against this background, the purpose of this study is to explore the latent classification of elderly patients with chronic disease and compare healthcare utilization inequity among latent classes.

METHODS

This study used the data of 7243 elderly patient with chronic diseases collected from the China Health and Retirement Longitudinal Study in 2018. Latent class analysis was used to classify the patients with chronic diseases, and analysis of variance and [Formula: see text] tests were utilized to test the differences in characteristics among latent classes. Healthcare utilization inequity was measured based on the concentration index (CI), and the CI was decomposed to compare the horizontal index of healthcare utilization among the latent classes.

RESULTS

The patients with chronic diseases were divided into five latent classes, namely, the musculoskeletal system, hypertension, respiratory system, digestive system and cardiovascular system groups. Statistically significant differences in social demographic characteristics were observed among the five latent classes (P &lt; 0.05). A pro-rich healthcare utilization inequity for all respondents was observed (outpatient CI = 0.080, inpatient CI = 0.135), and a similar phenomenon in latent classes was found except for the musculoskeletal system group in outpatient visits (CI = -0.037). The digestive system group had the worst equity (outpatient CI = 0.197, inpatient CI = 0.157) and the respiratory system group had the best (outpatient CI = 0.001, inpatient CI = 0.086). After balancing the influence of health need factors, healthcare utilization inequity was almost alleviated. Furthermore, for all respondents, the contribution of health need factors (65.227% for outpatient and 81.593% for inpatient) was larger than that of socioeconomic factors (-21.774% for outpatient and 23.707 for inpatient), and self-rated health status was the greatest contributor (57.167% for outpatient and 79.399% for inpatient). The characteristics were shown in latent classes.

CONCLUSIONS

Healthcare utilization inequity still exists in elderly patients with chronic diseases, and the specific performances of inequity vary among latent classes. Moreover, self-rated health status plays an important role in healthcare utilization inequity. Providing financial support to low-income patients with certain chronic diseases, focusing on their physical and mental feelings and guiding them to evaluate their health status correctly could be essential for alleviating healthcare utilization inequity among elderly patients with chronic diseases.

Implementation of the Patient Counselling Service at the Cancer Hospital in Radom, Poland

Background: Non-adherence occurs in various groups of patients, including those with chronic diseases. One strategy to increase adherence among oncological patients is to individualise treatment and expand pharmaceutical care. Pharmaceutical labels that remind patients how they should take their medications are of great importance in this respect. Objective: The main objective of this study was to evaluate medication adherence in oncological patients, and to gather their opinions on the individual medication labelling system as an element of effective treatment. Methods: The study was conducted in 2021 among 82 patients of the oncological department of the Centre of Oncology in Radom. The research tool was a questionnaire consisting of personal data and two parts relating to the patient's disease and the medication labelling system. Results: Nearly half of the respondents reported that they forget to take medications and how they should take them. These problems increased with the age of the patient and the number of administered medications. Of the respondents, 89% stated that the labels with dosing information are helpful. Over 67% agreed that these labels should be affixed to all medications. Nearly 90% of the respondents believed the labels should be available in all pharmacies. Conclusions: Non-adherence is a common phenomenon among oncological patients. Pharmacists providing a labelling service for medicinal products can play a significant role in reducing this phenomenon.

A bitter pill to swallow? Impact of affective temperaments on treatment adherence: a systematic review and meta-analysis

BACKGROUND

Predominant affective temperament may affect adherence to prescribed pharmacotherapeutic interventions, warranting systematic review and meta-analysis.

METHODS

The Scopus, Web of Science, PubMed, and OVID MedLine databases were inquired since inception up to 31st of March 2022 for records of any study design documenting quantitative evidence about affective temperaments as measured by the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego (TEMPS-A) questionnaire and treatment adherence measured by the means of major rating scales on the matter. People with low vs. high levels of treatment adherence, matched for otherwise clinically relevant variables, were deemed as cases and controls, respectively, using standardized mean differences (SMDs) in pertinent scores under random-effects meta-analysis.

RESULTS

Nine studies encompassing 1138 subjects pointed towards significantly higher cyclothymic (SMD = -0.872; CI: [-1.51 to -0.24]; p = 0.007), irritable (SMD = -0.773; CI: [-1.17 to -0.37]; p < 0.001) and depressive (SMD = -0.758; CI: [-1.38 to -0.14]; p = 0.017) TEMPS-A scores both for psychiatric and nonpsychiatric samples with poorer adherence.

LIMITATIONS

Intrinsic limitations of the present report include the heterogeneity of the operational definitions documented across different primary studies, which nonetheless reported on the sole medication-treatment adherence, thus limiting the generalizability of the present findings based on a handful of comparisons.

CONCLUSIONS

Though further primary studies need to systematically account for different clinical and psychosocial moderators across different clinical populations and operational definitions, cyclothymic, depressive, and irritable temperament scores may nonetheless predict treatment adherence and, thus, overall treatment outcomes.

Clinical Effects of Outpatient Health Education on Fall Prevention and Self-health Management of Elderly Patients with Chronic Diseases

Background

Elderly patients with chronic diseases (CDs) have a higher predilection for falls, with more severe consequences once they fall. Therefore, it is necessary to explore an effective way to prevent falls in elderly patients with CDs.

Objective

To clarify the clinical effects of outpatient health education on fall prevention and self-health management in elderly patients with CDs.

Methods

This retrospective study enrolled 102 elderly patients with CDs who received treatment in the School of Medicine, Sir Run Run Shaw Hospital of Zhejiang University, between January 2019 and December 2020. Patients intervened by routine nursing were assigned to the regular group (n = 48), and those additionally treated with outpatient health education were included in the research group (n = 54). Assessment of patients' negative emotions (NEs) adopted the Self-Rating Anxiety/Depression Scale (SAS/SDS), determination of their sense of self-efficacy employed the Falls Efficacy Scale International (FES-I), and their self-care capacity evaluation used the Exercise of Self-Care Agency (ESCA). Patients' falls, hospitalization time, fall prevention knowledge, fall prevention-related health behavior, and nursing satisfaction were recorded.

Results

After the nursing intervention, lower SAS, SDS, and FES-I scores were determined in the research group versus the regular group; the total ESCA score assessed from various dimensions was higher in the research group; the research group also exhibited a markedly lower incidence of falls, and shorter hospitalization time than the regular group, with better mastery of fall prevention knowledge, fall prevention-related health behavior and nursing satisfaction.

Conclusions

Outpatient health education intervention can prevent senile patients with CDs from falling, promote their rehabilitation, and enhance their mastery of fall prevention knowledge; moreover, it can improve patients' healthy behaviors to prevent falls, mitigate their NEs, and improve their sense of self-efficacy and self-care ability, which has high clinical application value.

Association between cognitive impairment and oral anticancer agent use in older patients with metastatic renal cell carcinoma

BACKGROUND

Kidney cancer is the fastest-growing cancer diagnosis in the developed world. About 16% of new cases are stage IV, which has a low five-year survival rate. Many patients with metastatic renal cell carcinoma (mRCC) are older and may have mild cognitive impairment or dementia (MCI/D). Given prior reports of patients with dementia initiating less cancer therapy and the importance of oral anticancer agents (OAAs) in mRCC treatment, we investigated the prevalence of preexisting MCI/D in patients with mRCC and their OAA use.

METHODS

SEER-Medicare patients were analyzed who were ≥65 years, diagnosed with mRCC between 2007 and 2015, and had Medicare part D coverage. Patterns and predictors of (a) OAA utilization within the 12 months following mRCC diagnosis and (b) adherence (percent of days covered [PDC] ≥ 80%) during the first 90 days following treatment initiation were assessed.

RESULTS

Of the 2792 eligible patients, 268 had preexisting MCI/D, and 907 initiated OAA treatment within 12 months of mRCC diagnosis. Patients with preexisting MCI/D were less likely to begin an OAA than those without MCI/D (fully-adjusted HR 0.53, 95% CI 0.38-0.76). Among OAA initiators, a preexisting MCI/D diagnosis did not alter the likelihood that a person would be adherent (adjusted RR 0.84, 95% CI 0.55-1.28).

CONCLUSIONS

Patients with preexisting MCI/D were half as likely to start an OAA during the year following mRCC diagnosis than patients without comorbid MCI/D. The 90-day adherence of OAA initiators was not significantly different between those with and without preexisting MCI/D. In light of this, clinicians should assess mRCC patients for cognitive impairment and take steps to optimize OAA utilization by those with MCI/D.

Prediction of treatment nonadherence among older adults with chronic obstructive pulmonary disease using Medicare real-world data

BACKGROUND: Suboptimal maintenance medication (MM) adherence remains a clinical problem among Medicare beneficiaries with chronic obstructive pulmonary disease (COPD). OBJECTIVE: To inform risk-based personalized decision-making, this study sought to develop and validate prediction models of nonadherence to COPD MMs for Medicare beneficiaries. METHODS: This was a retrospective cohort study of beneficiaries aged 65 years and older with COPD and inhaled MMs. Nonadherence (proportion of days covered < 0.8) was measured in 12 months following the first MM fill after COPD diagnosis. Logistic and least absolute shrinkage selector operator regressions were implemented, and area under the receiver operating characteristic curve (AUROC) evaluated model accuracy, as well as positive predictive values and negative predictive values. Our models evaluated different sets of predictors for two cohorts: those with an MM prescription before COPD diagnosis (prevalent users) and those without (new users). RESULTS: Among 16,157 prevalent and 40,279 new users of MMs, 11,271 (69.8%) and 34,009 (84.4%), respectively, were nonadherent. The best-performing logistic models achieved AUROCs of 0.8714 and 0.881, positive predictive values of 0.881 and 0.881, and negative predictive values of 0.559 and 0.578, respectively, for prevalent and new users. The least absolute shrinkage selector operator models had similar accuracy. Models with baseline-only predictors had average performance (AUROC < 0.72). The most important predictors were initial MM adherence, short-acting bronchodilator use, and asthma. CONCLUSIONS: To our knowledge, this study is the first to develop predictive models of nonadherence to COPD MMs. Generated models achieved good discrimination and underlined the importance of early adherence. Well-performed models can be useful for care decision-making and interventions to improve COPD medication adherence after the first critical few months following a treatment episode. DISCLOSURES: All authors declared no conflicts of interest.

Psychological predictors of treatment adherence among patients with diabetes (types I and II): Modified information-motivation-behavioural skills model

Non-adherence to medical regimens among patients with diabetes is a well-recognized concern in health care. Modified information, motivation, behavioural skills (IMB) model by adding an emotion component to it was tested to explore predictors of treatment adherence among 1,125 Iranian patients with diabetes type I (T1D) and type II (T2D) and due to other medical conditions. The modified IMB model explained 35% of the treatment adherence with large effect-sizes f²  = 0.56 to 0.69. Self-compassion and interpersonal communication between staff and patients (ICSP) were significant predictors of treatment adherence among patients with T1D, T2D and diabetes due to other medical conditions, while both outperformed the other significant predictors of treatment adherence, i.e., illness perception and social support in all groups. Distress intolerance was a significant predictor of treatment adherence only in patients with T2D. In addition, patients, based on their type of diabetes, exhibited different patterns of illness perception in predicting treatment adherence. Among T2D patients and those with diabetes due to other medical conditions, gender (male; only in T2D) and being single were significant predictors of treatment adherence, while age and diabetes duration were not. Finally, the model demonstrated that above and beyond demographic features, self-compassion, interpersonal communication between patients and health care staff, distress intolerance, perceived social support and illness perception were significant predictors of treatment adherence among patients with diabetes.

Identifying Potential Drug-Related Problems Among Geriatric Patients With Use of an Integrated Clinical Decision Support Tool

Background: Drug-related problems (DRPs) which arise from potentially inappropriate medications (PIMs) are a common problem in older people with multi-morbidity and polypharmacy.

Aim: To develop an integrated PIM clinical decision support tool for identification of DRPs in geriatric multi-morbid polypharmacy patients, using the EU(7)-PIM and EURO-FORTA lists, with a focus on high-risk medications.

Methods: The integrated PIM tool used the information on PIMs in both databases—the EU(7)-PIM and EURO-FORTA. PIMs were classified into four color groups based on risk profile: high-risk PIMs (should be avoided in older patients) as red, moderate-risk PIMs (require dose and/or treatment duration adjustment) as yellow, low-risk PIMs (low DRP risk) as green, and questionable PIMs (incomplete/missing information) as grey.

Results: The summarized list of the high-risk (red and some grey) PIMs contained 81 active substances and medication classes. According to the ATC classification, most of the high-risk PIMs (n = 60, 74.1%) belong to the A, C, and N medication groups and 50.6% (n = 41) of the high-risk PIMs have currently marketing authorization in Estonia. The preliminary list of the moderate- and low-risk (yellow, green, and other grey) PIMs contained 240 active substances and medication classes, but sub-classification of this category into one or another group depends mainly on an individual patient´s clinical characteristics in a concrete analyzed study sample and needs further research.

Conclusion: The integrated clinical decision support tool based on the EU(7)-PIM and EURO-FORTA criteria addresses the need for more efficient identification of DRPs. It can be applied to identify PIMs and geriatric prescribing problems in different health care settings, and also in a context of little clinical information available.

Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research

BACKGROUND

Non-interventional large-scale research on real-world patients who had a stroke requires the use of multiple data sources ensuring access to longitudinal data from large populations with clinically-detailed information. We sought to establish a framework for longitudinal research on patients hospitalised with stroke by linking information-rich, deidentified inpatient data from the Paul Coverdell National Acute Stroke Program (PCNASP) to commercial and Medicare Advantage longitudinal claims data.

METHODS

All stroke admissions in PCNASP between 2008 and 2015 were evaluated for linkage to longitudinal claims from a commercial insurer using an algorithm based on six available common data fields (patient age, gender, admission date, discharge date, discharge diagnosis and state) and a hospital match. We evaluated the linkage quality (via the percentage of unique records in the linked dataset) and the representativeness of the linked population. We also described medical history, stroke severity and patterns of medication use among the PCNASP-claims linked cohort.

RESULTS

The linkage produced uniqueness equal to 99.1%. We identified 5644 linked and 98 896 unlinked patients who had an ischaemic stroke hospitalisation in claims data. Linked patients were younger than unlinked (69.7 vs 72.5 years), but otherwise similar by medical history, prestroke medication use or lab values. Stroke severity was mild and most patients were discharged home. Prestroke and discharge use of antihypertensive and statins in the PCNASP were greater than their use as measured by filled prescriptions in claims.

CONCLUSIONS

High-quality linkage between the PCNASP and commercial claims data is feasible. This linkage identified differences between reported or recommended versus actual out-of-hospital medication utilisation, highlighting the importance of longitudinal data availability for research aimed to improve the care of patients who had a stroke.

A systematic umbrella review of the association of prescription drug insurance and cost-sharing with drug use, health services use, and health

BACKGROUND

Increasing spending and use of prescription drugs pose an important challenge to governments that seek to expand health insurance coverage to improve population health while controlling public expenditures. Patient cost-sharing such as deductibles and coinsurance is widely used with aim to control healthcare expenditures without adversely affecting health.

METHODS

We conducted a systematic umbrella review with a quality assessment of included studies to examine the association of prescription drug insurance and cost-sharing with drug use, health services use, and health. We searched five electronic bibliographic databases, hand-searched eight specialty journals and two working paper repositories, and examined references of relevant reviews. At least two reviewers independently screened the articles, extracted the characteristics, methods, and main results, and assessed the quality of each included study.

RESULTS

We identified 38 reviews. We found consistent evidence that having drug insurance and lower cost-sharing among the insured were associated with increased drug use while the lack or loss of drug insurance and higher drug cost-sharing were associated with decreased drug use. We also found consistent evidence that the poor, the chronically ill, seniors and children were similarly responsive to changes in insurance and cost-sharing. We found that drug insurance and lower drug cost-sharing were associated with lower healthcare services utilization including emergency room visits, hospitalizations, and outpatient visits. We did not find consistent evidence of an association between drug insurance or cost-sharing and health. Lastly, we did not find any evidence that the association between drug insurance or cost-sharing and drug use, health services use or health differed by socioeconomic status, health status, age or sex.

CONCLUSIONS

Given that the poor or near-poor often report substantially lower drug insurance coverage, universal pharmacare would likely increase drug use among lower-income populations relative to higher-income populations. On net, it is probable that health services use could decrease with universal pharmacare among those who gain drug insurance. Such cross-price effects of extending drug coverage should be included in costing simulations.