Estimating HIV Medication Adherence and Persistence: Two Instruments for Clinical and Research Use

Development and Validation of a Risk Score for Predicting Non-Adherence to Antiretroviral Therapy

Several patient-related factors that influence adherence to antiretroviral therapy (ART) have been described. However, studies that propose a practical and simple tool to predict nonadherence after ART initiation are still scarce. In this study, we develop and validate a score to predict the risk of nonadherence in people starting ART. The model/score was developed and validated using a cohort of people living with HIV starting ART at the Hospital del Mar, Barcelona, between 2012 and 2015 (derivation cohort) and between 2016 and 2018 (validation cohort),. Adherence was evaluated every 2 months using both pharmacy refills and patient self-reports. Nonadherence was defined as taking <90% of the prescribed dose and/or ART interruption for more than 1 week. Predictive factors for nonadherence were identified by logistic regression. Beta coefficients were used to develop a predictive score. Optimal cutoffs were identified using the bootstrapping methodology, and performance was evaluated with the C statistic. Our study is based on 574 patients: 349 in the derivation cohort and 225 in the validation cohort. A total of 104 patients (29.8%) of the derivation cohort were nonadherent. Nonadherence predictors were patient prejudgment; previous medical appointment failures; cultural and/or idiomatic barriers; heavy alcohol use; substance abuse; unstable housing; and severe mental illness. The cutoff point (receiver operating characteristic curve) for nonadherence was 26.3 (sensitivity 0.87 and specificity 0.86). The C statistic (95% confidence interval) was 0.91 (0.87-0.94). These results were consistent with those predicted by the score in the validation cohort. This easy-to-use, highly sensitive, and specific tool could be easily used to identify patients at highest risk for nonadherence, thus allowing resource optimization and achieving optimal treatment goals.

Affordability in individuals' healthcare decision making: A concept analysis

This concept analysis aims to define affordability within the context of healthcare decision making. Affordability is a complex concept that influences an individual's healthcare decision making. In the year's post-Affordable Care Act, the United States has seen an increase in insured individuals, but also an increase in underinsured healthcare consumers. Evidence for the concept attributes was found by searching the Cumulative Index of Nursing and Allied Health Literature, EconLit, Family & Society Studies Worldwide, Humanities Full Text, and PsychINFO databases. Literature was synthesized using the Walker and Avant approach. A new definition was derived with four defining attributes, as well as antecedents and consequences. Three cases are forwarded: the model, borderline, and contrary. In healthcare decision making, affordability is a subjective measure that individuals use in determining the ability to engage in a healthcare service or a durable good transaction. Affordability varies based on circumstances. The context of healthcare decision making of individuals stands in contrast to the decision-making in health systems and to decisions unrelated to one's health. Affordability is a determinant of an individual's ability to engage in a transaction. As such, nurses and policymakers should attempt to understand affordability from the patient's perspective.

Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review

Background

Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psychometric properties of these PROMs to guide selection for use in clinical practice or research.

Objective

This study aims to evaluate the quality of the PROMs used to measure medication adherence.

Methods

This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the EMBASE, PubMed, Cochrane Library, Web of Science, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. The PROMs were then evaluated based on the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines.

Results

A total of 121 unique medication adherence PROMs from 214 studies were identified. Hypotheses testing for construct validity and internal consistency were the most frequently assessed measurement properties. PROMs with at least a moderate level of evidence for ≥5 measurement properties include the Adherence Starts with Knowledge 20, Compliance Questionnaire-Rheumatology, General Medication Adherence Scale, Hill-Bone Scale, Immunosuppressant Therapy Barrier Scale, Medication Adherence Reasons Scale (MAR-Scale) revised, 5-item Medication Adherence Rating Scale (MARS-5), 9-item MARS (MARS-9), 4-item Morisky Medication Adherence Scale (MMAS-4), 8-item MMAS (MMAS-8), Self-efficacy for Appropriate Medication Adherence Scale, Satisfaction with Iron Chelation Therapy, Test of Adherence to Inhalers, and questionnaire by Voils. The MAR-Scale revised, MMAS-4, and MMAS-8 have been administered electronically.

Conclusions

This study identified 121 PROMs for medication adherence and provided synthesized evidence for the measurement properties of these PROMs. The findings from this study may assist clinicians and researchers in selecting suitable PROMs to assess medication adherence.

Development of an Item Bank to Measure Medication Adherence: Systematic Review

Background

Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress.

Objective

We aim to develop an item bank to measure general medication adherence.

Methods

Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published before October 2019 were retrieved from PubMed, Embase, CINAHL, the Cochrane Library, and Web of Science. Items from existing PROMs were classified and selected (“binned” and “winnowed”) according to standards published by the Patient-Reported Outcomes Measurement Information System (PROMIS) Cooperative Group.

Results

A total of 126 unique PROMs were identified from 213 studies in 48 countries. Items from the literature review (47 PROMs with 579 items for which permission has been obtained) underwent binning and winnowing. This resulted in 421 candidate items (77 extent of adherence and 344 reasons for adherence).

Conclusions

We developed an item bank for measuring general medication adherence using items from validated PROMs. This will allow researchers to create new PROMs from selected items and provide the foundation to develop CATs.

Patient-physician discordance in assessment of adherence to inhaled controller medication: a cross-sectional analysis of two cohorts

OBJECTIVE

We aimed to compare patient's and physician's ratings of inhaled medication adherence and to identify predictors of patient-physician discordance.

DESIGN

Baseline data from two prospective multicentre observational studies.

SETTING

29 allergy, pulmonology and paediatric secondary care outpatient clinics in Portugal.

PARTICIPANTS

395 patients (≥13 years old) with persistent asthma.

MEASURES

Data on demographics, patient-physician relationship, upper airway control, asthma control, asthma treatment, forced expiratory volume in one second (FEV₁) and healthcare use were collected. Patients and physicians independently assessed adherence to inhaled controller medication during the previous week using a 100 mm Visual Analogue Scale (VAS). Discordance was defined as classification in distinct VAS categories (low 0-50; medium 51-80; high 81-100) or as an absolute difference in VAS scores ≥10 mm. Correlation between patients' and physicians' VAS scores/categories was explored. A multinomial logistic regression identified the predictors of physician overestimation and underestimation.

RESULTS

High inhaler adherence was reported both by patients (median (percentile 25 to percentile 75) 85 (65-95) mm; 53% VAS>80) and by physicians (84 (68-95) mm; 53% VAS>80). Correlation between patient and physician VAS scores was moderate (r_s=0.580; p<0.001). Discordance occurred in 56% of cases: in 28% physicians overestimated adherence and in 27% underestimated. Low adherence as assessed by the physician (OR=27.35 (9.85 to 75.95)), FEV₁ ≥80% (OR=2.59 (1.08 to 6.20)) and a first appointment (OR=5.63 (1.24 to 25.56)) were predictors of underestimation. An uncontrolled asthma (OR=2.33 (1.25 to 4.34)), uncontrolled upper airway disease (OR=2.86 (1.35 to 6.04)) and prescription of short-acting beta-agonists alone (OR=3.05 (1.15 to 8.08)) were associated with overestimation. Medium adherence as assessed by the physician was significantly associated with higher risk of discordance, both for overestimation and underestimation of adherence (OR=14.50 (6.04 to 34.81); OR=2.21 (1.07 to 4.58)), while having a written action plan decreased the likelihood of discordance (OR=0.25 (0.12 to 0.52); OR=0.41 (0.22 to 0.78)) (R²=44%).

CONCLUSION

Although both patients and physicians report high inhaler adherence, discordance occurred in half of cases. Implementation of objective adherence measures and effective communication are needed to improve patient-physician agreement.

New patient-reported outcome measure to assess perceived barriers to antiretroviral therapy adherence: the PEDIA scale

This study sought to develop and evaluate a new patient-reported outcome measure to assess perceived barriers to antiretroviral therapy (ART) adherence. The Perceived Barriers to Antiretroviral Therapy Adherence (PEDIA) scale was developed based on individual interviews with patients. After pilot testing and assessing the evidence based on content analysis, the scale's revisions resulted in a 40-item version. The PEDIA was applied to 415 HIV-infected adults receiving ART for a maximum of 180 days, recruited from three healthcare facilities of reference in the city of Belo Horizonte, Minas Gerais State, Brazil. The analyses included exploratory factor analysis, internal consistency, item response theory, temporal stability, and predictive test-criterion relationship. The scale's final version contains 18 items distributed in three dimensions, as follows: cognitive and routine problems (4 items); medication and health concerns (6 items); and patient's fears and feelings (8 items). The results of McDonald's omega and temporal stability demonstrate that the PEDIA is internally consistent and yields stable scores over time. The assessment of the information's functions suggested that the three dimensions were informative for assessing a broad range of latent traits. Evidence concerning the test-criterion relationship confirmed that the PEDIA was able to predict non-adherence three months later. Our findings suggest that the PEDIA is a psychometrically adequate tool for evaluating perceived barriers in adult patients initiating ART. It could be used in both research and clinical practice for the early detection of patients at risk of non-adherence and for the identification of potentially modifiable barriers.

Non-persistence to antiretroviral therapy among adults receiving HIV medical care in the United States

Not taking medicine over a specific period of time-non-persistence to antiretroviral therapy (ART)-may be associated with higher HIV-viral load. However, national estimates of non-persistence among U.S. HIV patients are lacking. We examined the association between non-persistence and various factors, including sustained HIV-viral suppression (VS) stratified by adherence, and assessed reasons for non-persistence using Medical Monitoring Project (MMP) data. MMP conducts clinical and behavioral surveillance among cross-sectional representative samples of adults receiving HIV care in the U.S. We analyzed weighted MMP interview and medical record abstraction data collected between 6/2011-5/2015 from 18,423 patients self-reporting ART use. We defined non-persistence as a self-initiated decision to not take ART for ≥2 consecutive days in the past 12-months, non-adherence as missing ≥1 ART dose during the past 3-days and sustained VS as all HIV-viral loads documented in medical record during the past 12-months as undetectable or <200 copies/mL. We used Rao-Scott chi-square tests to examine the association between non-persistence and sociodemographic, behavioral, clinical, and medication-related factors. We examined the association between non-persistence and sustained VS, stratified by adherence, and present prevalence ratios (PRs) with 95% confidence intervals (CIs). Reasons for non-persistence were assessed. Overall, 7% of patients reported non-persistence. Drug use, depression and medication side effects were associated with non-persistence (P < 0.01). Non-persistence was associated with the lack of sustained VS (PR: .66, CI:63-.70); this association did not differ by adherence level. However, VS was lower among the non-persistent/adherent compared with the persistent/non-adherent [51% (CI:47-54) versus 61% (CI:36-46), P < 0.01]. The most prevalent reason for non-persistence was treatment fatigue (38%). Though few persons in HIV care reported non-persistence, our findings suggest that non-persistence is associated with lack of sustained VS, regardless of adherence. Routine screening for non-persistence during clinical appointments and counseling for those at risk for non-persistence may help improve clinical outcomes.