Development of the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) Medication Adherence Scale (PMAS)

Adherence to 6-Mercaptopurine (6-MP) and Habit Strength in Pediatric Acute Lymphoblastic Leukemia (ALL)

BACKGROUND

Low 6-mercaptopurine (6-MP) adherence (< 95%) is associated with increased relapse in pediatric acute lymphoblastic leukemia (ALL). Stronger habit has been associated with higher adherence. We examined the relationship of 6-MP adherence to habit strength and health-related quality of life in pediatric ALL.

METHODS

A single-center, cross-sectional study of 52 participants: 11 patients (mean age 16 ± 4) and 41 parents/caregivers (age 37 ± 5). Participants completed Visual Analogue Scale (VASdose), Patient Reported Outcomes Measurement Information System Medication Adherence Scale, and the Self-Regulated Habit Index (SRHI). Twelve semi-structured participant interviews were analyzed using thematic analysis.

RESULTS

81% (42/52) of participants reported high 6-MP adherence (VASdose ≥ 95%): patients 91% (10/11), parents 78% (32/41). No significant correlation was found between adherence and habit strength. Reported adherence facilitators included reminders, care team communications, personalized tools, administration experience, self-efficacy, and social support. Conversely, financial burden, scheduling conflicts, and medication access were cited as barriers.

CONCLUSIONS

One-fifth of participants reported low 6-MP adherence, with habit strength not associated with adherence. Variability of 6-MP routines may prohibit automaticity. While 6-MP adherence may not correlate with habit strength, interventions promoting and strengthening habit formation may overcome barriers to 6-MP adherence and improve outcomes.

Immunosuppressant adherence after heart transplantation: a review on detection, prevention, and intervention strategies in a multidisciplinary

Heart transplantation is an effective treatment for end-stage heart disease, and postoperative patients' medication adherence is crucial for transplantation outcomes and long-term survival. By reviewing a large amount of related literature, this review summarizes the current status, evaluation methods, influencing factors, and intervention strategies of medication adherence after heart transplantation, emphasizes the important role of multidisciplinary teams in improving medication adherence, and discusses the importance of transplantation multidisciplinary teams and holistic management. By integrating the research results from various fields such as medicine, pharmacy, psychology, and sociology, it provides a more comprehensive theoretical support and practical guidance for improving medication adherence in heart transplant patients.

Web-Based Pain Coping Skills Training (PCST) for Managing Aromatase Inhibitor-Associated Arthralgia in Breast Cancer Survivors: Randomized Controlled Trial Protocol

BACKGROUND

Aromatase inhibitors (AIs) are a cornerstone of adjuvant systemic therapy for postmenopausal patients with hormone-receptor positive (HR+) breast cancer. Although AIs decrease cancer recurrence rates and improve survival rates, approximately 50 % of patients experience arthralgia-persistent pain related to worse patient outcomes and poor AI adherence. Current medical interventions for AI-associated arthralgia have limited efficacy and side effects that restrict their use among older patients.

OBJECTIVE

The SKIP-Arthralgia trial will test the efficacy of Pain Coping Skills Training (PCST), a cognitive-behavioral therapy (CBT)-informed intervention, delivered via a web-based program called painTRAINER®. PCST and similar CBT-informed pain interventions are efficacious in non-cancer pain and commonly delivered via the Internet, although they have not been tested as a treatment for AI-associated arthralgia.

METHODS

452 breast cancer survivors with AI-associated arthralgia will complete a baseline assessment before being randomized to either painTRAINER plus enhanced usual care (EUC; educational materials about AI therapy, arthralgia, and pain), or to EUC alone. Follow-up assessments will occur approximately 2 weeks after the 8- to 10-week intervention period (post-intervention) and at 3- and 6-months post-intervention. Primary outcomes are pain severity and interference at post-intervention. Secondary outcomes include emotional distress, AI adherence, and health-related quality of life.

DISCUSSION

This trial aims to fill a gap in evidence-based behavioral pain interventions for breast cancer survivors with AI-associated arthralgia by providing an effective, accessible intervention that could be implemented quickly, including in areas with limited PCST access. If successful, this study could enhance health outcomes for breast cancer survivors on AI therapy and improve adherence to this life-saving medication.

Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure

BACKGROUND

Digital health tools may improve quality of life (QoL) in patients with heart failure (HF) by promoting self-care, knowledge, and engagement.

OBJECTIVES

This study evaluates the effect of 3 digital technologies on QoL in patients with HF.

METHODS

A total of 182 patients were randomized to usual care or one of the technologies promoting self-care: Bodyport (cardiac scale), Conversa (conversational platform), or Noom (smartphone application). The primary outcome was 90-day change in QoL, as assessed by the Kansas City Cardiomyopathy Questionnaire (KCCQ) Overall Summary Score (OSS).

RESULTS

A total of 151 participants (83%) completed their 90-day surveys. The median age of enrolled participants was 61 years (IQR: 53-69 years), and 37.9% were women. No group had any significant change in KCCQ OSS or improvement relative to usual care. However, symptoms and physical function at 90 days, as assessed by the Total Symptom Score (TSS) and Clinical Summary Score (CSS), were significantly improved in the Noom group relative to usual care: TSS median change of +4.2 points (IQR -1 to +16.7) vs -1 points (IQR: -13.5 to +7.8; P = 0.006); CSS median change of +2.8 points (IQR: -1 to +14.6) vs -3.1 points (IQR: -10.2 to +3; P = 0.002).

CONCLUSIONS

Three digital interventions showed no independent effect on QoL as assessed by the KCCQ OSS. However, participants randomized to the Noom technology demonstrated improved KCCQ TSS and CSS relative to usual care. Although digital tools may be an important component of longitudinal care for patients with HF, larger studies are needed to better understand their effectiveness and optimal deployment. (Evaluating Efficacy of Digital Health Technology in the Treatment of Congestive Heart Failure; NCT04394754).

An observational, patient-reported outcome study of sleep quality and depression among individuals with overactive bladder syndrome

INTRODUCTION

Overactive bladder (OAB) can adversely affect health-related quality-of-life (HRQoL) and adherence to treatments; however, the extent of their association is unknown. This study sought to characterize Sleep Disturbance, Depression, Fatigue, and patient-reported medication adherence among adults with OAB in the United States. MATERIALS AND METHODS: In this descriptive, observational study, patients completed patient-reported outcome (PRO) measures of urinary symptoms, anxiety, depression, fatigue, sleep quality, and medication adherence. PRO scores were compared across age, sex, body mass index, and sleep and antidepressant medication-taking subgroups. Exploratory analyses compared PRO scores between groups and estimated the effect size of differences.

RESULTS

Of 1013 patients contacted, 159 completed the assessments (female: 67.3%; ≥65 years of age: 53.5%; most severe OAB symptom: nocturia). Scale scores for Sleep Disturbance, Fatigue, and Depression were consistent with US population norms. No correlations of moderate or greater magnitude were observed between the severity of lower urinary tract symptoms and Sleep Disturbance, Fatigue, or Depression. When comparing individuals receiving antidepressants with those who were not, almost all outcomes including urinary symptoms, anxiety, and depression were significantly worse. Patients taking antidepressants also had poorer adherence to their OAB medications.

CONCLUSION

In this cohort of individuals with OAB, Sleep Disturbance, Fatigue, and Depression scores were in line with general population reference values; however, among the subgroups analyzed, patients on antidepressants had worse HRQoL and more substantial impacts on medication adherence, highlighting the importance of the assessment and management of depression in this population.

Patient-reported symptom monitoring and adherence to therapy in patients with newly diagnosed chronic myeloid leukemia

BACKGROUND

The authors assessed the clinical utility of patient-reported symptom monitoring in the setting of newly diagnosed chronic myeloid leukemia (CML). The primary objective was to evaluate adherence to therapy.

METHODS

The authors conducted an international prospective study that included patients with newly diagnosed, chronic-phase CML. Before clinical consultation, patients were provided a tablet computer to self-rate their symptoms, and the results were available in real time to each physician during the patient's visit. Adherence was assessed by pill count and with a validated self-reported questionnaire. The proportions of optimal responders at 3 and 6 months were assessed according to the European LeukemiaNet criteria.

RESULTS

Between July 2020 and August 2021, 94 patients with a median age of 57 years were enrolled. Pill count adherence analysis indicated that 86 of 93 evaluable patients (92.5%) took at least 90% of prescribed tyrosine kinase inhibitor therapy during the 6-month observation period. The online platform was well accepted by patients and physicians. An optimal response was achieved by 69 of 79 patients (87.3%) at 3 months and by 61 of 81 patients (75.3%) at 6 months.

CONCLUSIONS

Patient-reported symptom monitoring from the beginning of therapy in patients with CML may be critical to improve adherence to therapy and early molecular response rates (ClinicalTrials.gov identifier NCT04384848).

Improving palbociclib adherence among women with metastatic breast cancer using a CONnected CUstomized Treatment Platform: A pilot study

OBJECTIVE

To pilot test a mobile health intervention using a CONnected CUstomized Treatment Platform that integrates a connected electronic adherence monitoring smartbox and an early warning system of non-adherence with bidirectional automated texting feature and provider alerts.

METHODS

In total, 29 adult women with hormone-receptor-positive, human epidermal growth factor receptor 2-negative metastatic breast cancer and a prescription for palbociclib were asked to complete a survey and participate in a CONnected CUstomized Treatment Platform intervention, including use of a smartbox for real-time adherence monitoring, which triggered text message reminders for any missed or extra dose, and referrals to (a) participant's oncology provider after three missed doses or an episode of over-adherence, or (b) a financial navigation program for any cost-related missed dose. Use of smartbox, number of referrals, palbociclib adherence, CONnected CUstomized Treatment Platform usability measured by System Usability Scale, and changes in symptom burden and quality of life were assessed.

RESULTS

Mean age was 57.6 and 69% were white. The smartbox was used by 72.4% of participants, with palbociclib adherence rate of 95.8%±7.6%. One participant was referred to oncology provider due to missed doses and one was referred to financial navigation. At baseline, 33.3% reported at least one adherence barrier including inconvenience to get prescription filled, forgetfulness, cost, and side effects. There were no changes in self-reported adherence, symptom burden or quality of life over 3 months. CONnected CUstomized Treatment Platform usability score was 61.9 ± 14.2.

CONCLUSION

The CONnected CUstomized Treatment Platform interventions is feasible, resulting in a high palbociclib adherence rate without any decline in overtime. Future efforts should focus on improving usability.

Reaching adults who smoke cigarettes in rural Appalachia: Rationale, design & analysis plan for a mixed-methods study disseminating pharmacy-delivered cessation treatment

INTRODUCTION

Unlike other U.S. geographical regions, cigarette smoking prevalence remains stagnant in rural Appalachia. One avenue for reaching rural residents with evidence-based smoking cessation treatments could be utilizing community pharmacists. This paper describes the design, rationale, and analysis plan for a mixed-method study that will determine combinations of cessation treatment components that can be integrated within community pharmacies in rural Appalachia. The aim is to quantify the individual and synergistic effects of five highly disseminable and sustainable cessation components in a factorial experiment.

METHODS

This sequential, mixed-method research design, based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, will use a randomized controlled trial with a 25 fully crossed factorial design (32 treatment combinations) to test, alone and in combination, the most effective evidence-based cessation components: (1) QuitAid (yes vs. no) (2) tobacco quit line (yes vs. no) (3) SmokefreeTXT (yes vs. no) (4) combination NRT lozenge + NRT patch (vs. NRT patch alone), and (5) eight weeks of NRT (vs. standard four weeks).

RESULTS

Logistic regression will model abstinence at six-months, including indicators for the five treatment factors and all two-way interactions between the treatment factors. Demographic and smoking history variables will be considered to assess potential effect modification. Poisson regression will model quit attempts and percent of adherence to treatment components as secondary outcomes.

CONCLUSION

This study will provide foundational evidence on how community pharmacies in medically underserved, rural regions can be leveraged to increase utilization of existing evidence-based tobacco cessation resources for treating tobacco dependence.

CLINICAL TRIALS

NCT05660525.

Patient-Reported Outcome Dashboards Within the Electronic Health Record to Support Shared Decision-making: Protocol for Co-design and Clinical Evaluation With Patients With Advanced Cancer and Chronic Kidney Disease

BACKGROUND

Patient-reported outcomes-symptoms, treatment side effects, and health-related quality of life-are important to consider in chronic illness care. The increasing availability of health IT to collect patient-reported outcomes and integrate results within the electronic health record provides an unprecedented opportunity to support patients' symptom monitoring, shared decision-making, and effective use of the health care system.

OBJECTIVE

The objectives of this study are to co-design a dashboard that displays patient-reported outcomes along with other clinical data (eg, laboratory tests, medications, and appointments) within an electronic health record and conduct a longitudinal demonstration trial to evaluate whether the dashboard is associated with improved shared decision-making and disease management outcomes.

METHODS

Co-design teams comprising study investigators, patients with advanced cancer or chronic kidney disease, their care partners, and their clinicians will collaborate to develop the dashboard. Investigators will work with clinic staff to implement the co-designed dashboard for clinical testing during a demonstration trial. The primary outcome of the demonstration trial is whether the quality of shared decision-making increases from baseline to the 3-month follow-up. Secondary outcomes include longitudinal changes in satisfaction with care, self-efficacy in managing treatments and symptoms, health-related quality of life, and use of costly and potentially avoidable health care services. Implementation outcomes (ie, fidelity, appropriateness, acceptability, feasibility, reach, adoption, and sustainability) during the co-design process and demonstration trial will also be collected and summarized.

RESULTS

The dashboard co-design process was completed in May 2020, and data collection for the demonstration trial is anticipated to be completed by the end of July 2022. The results will be disseminated in at least one manuscript per study objective.

CONCLUSIONS

This protocol combines stakeholder engagement, health care coproduction frameworks, and health IT to develop a clinically feasible model of person-centered care delivery. The results will inform our current understanding of how best to integrate patient-reported outcome measures into clinical workflows to improve outcomes and reduce the burden of chronic disease on patients and health care systems.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/38461.

Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation

BACKGROUND

Self-care and patient engagement are important elements of heart failure (HF) care, endorsed in the guidelines. Digital health tools may improve quality of life (QOL) in HF patients by promoting care, knowledge, and engagement. This manuscript describes the rationale and challenges of the design and implementation of a pragmatic randomized controlled trial to evaluate the efficacy of three digital health technologies in improving QOL for patients with HF.

HYPOTHESIS

We hypothesize that digital health interventions will improve QOL of HF patients through the early detection of warning signs of disease exacerbation, the opportunity of self-tracking symptoms, and the education provided, which enhances patient empowerment.

METHODS

Using a fully electronic enrollment and consent platform, the trial will randomize 200 patients across HF clinics in the Yale New Haven Health system to receive either usual care or one of three digital technologies designed to promote self-management and provide critical data to clinicians. The primary outcome is the change in QOL as assessed by the Kansas City Cardiomyopathy Questionnaire at 3 months.

RESULTS

First enrollment occurred in September 2021. Recruitment was anticipated to last 6-8 months and participants were followed for 6 months after randomization. Our recruitment efforts have highlighted the large digital divide in our population of interest.

CONCLUSION

Assessing clinical outcomes, patient usability, and ease of clinical integration of digital technologies will be beneficial in determining the feasibility of the integration of such technologies into the healthcare system.

A Systematic Review of Adherence to Immunosuppression among Pediatric Heart Transplant Patients

After pediatric heart transplant, commitment to lifelong immunosuppression is crucial to maintaining graft health. However, a review of the current literature surrounding adherence to immunosuppression in pediatric heart transplant patients is lacking. This systematic review aims to summarize the current landscape of adherence to immunosuppression in pediatric heart transplant patients. We conducted searches in PubMed MEDLINE, Embase, CENTRAL register of Controlled Trials (Wiley), and Scopus, from inception to March 2020. Studies were eligible if they outlined an aspect of adherence to immunosuppression and the measurement of adherence was performed with an objective or otherwise validated measure of adherence (e.g., drug levels, adherence questionnaires). The titles/abstracts of 880 articles were reviewed. After initial screening, 106 articles underwent full text review. As such, 14 articles were included in the final review. Baseline adherence estimates varied greatly, with most values between 40% and 70%. Nonadherence to immunosuppression is associated with worse outcomes (rejection, hospitalization, mortality), impaired quality of life, and mental health concerns in pediatric heart transplant patients. As nonadherence to immunosuppression is common and associated with worse outcomes, there is a need for further development and evaluation of interventions in this space.

Clinical trial considerations in sickle cell disease: patient-reported outcomes, data elements, and the stakeholder engagement framework

Patients with sickle cell disease (SCD) have significant impairment in their quality of life across the life span as a consequence of serious disease burden with several SCD-related complications. A number of disease-modifying therapies are currently available, yet long-term clinical benefits in real-world settings remain unclear. Over the past few years, a number of important initiatives have been launched to optimize clinical trials in SCD in different ways, including: (1) established panels through a partnership between the American Society of Hematology (ASH) and the US Food and Drug Administration; (2) the ASH Research Collaborative SCD Clinical Trials Network; (3) the PhenX Toolkit (consensus measures for Phenotypes and eXposures) in SCD; and (4) the Cure Sickle Cell Initiative, led by the National Heart, Lung, and Blood Institute. Electronic patient-reported outcomes assessment is highly recommended, and patient-reported outcomes (PROs) should be evaluated in all SCD trials and reported using Standard Protocol Items Recommendations for Interventional Trials guidelines. Patient-centered outcomes research (PCOR) approaches and meaningful stakeholder engagement throughout the process have the potential to optimize the execution and success of clinical trials in SCD with considerable financial value. This article reviews several clinical trial considerations in SCD related to study design and outcomes assessment as informed by recent initiatives as well as patient-centered research approaches and stakeholder engagement. A proposed hematology stakeholder-engagement framework for clinical trials is also discussed.

Development and validation of the Methotrexate Experience Questionnaire, a new methotrexate oral treatment adherence tool in rheumatoid arthritis

OBJECTIVE

Despite the development of new biologic therapies, methotrexate (MTX) remains the preferred initial disease-modifying anti-rheumatic drug to treat rheumatoid arthritis (RA). Adherence to disease-modifying anti-rheumatic drugs is suspected to be highly variable potentially leading to reduced treatment effectiveness. This work aimed to develop and validate the Methotrexate Experience Questionnaire (MEQ), a tool to identify and characterize non-adherence to oral MTX.

METHODS

MEQ development included a literature review and qualitative interviews with RA patients and physicians in the United States. A retrospective, cross-sectional study using data from Optimum Patient Care Research Database, a large primary care database of electronic medical records in the United Kingdom, was conducted to finalize the MEQ and evaluate its psychometric properties.

RESULTS

Three hundred seven e-consented subjects (66% women, mean age of 65 years) completed the MEQ remotely, and were included in this analysis. Item-convergent and divergent validity were generally supportive of the construct validity of the MEQ and Cronbach's alpha of 0.87 supported its reliability. The MEQ Total score presented statistically significant correlations of small to medium size with all selected concurrent scales, as expected; the highest correlation was obtained between the general acceptance score of ACCEPT and the MEQ Total score (0.55, p < 0.001). Known-groups validity was demonstrated as a logical pattern of higher MEQ scores was obtained for patients considered adherent with both the 6- and 12-month Proportion of Days Covered (mean MEQ total score 82.7 for 12-month PDC ≥ 80% against 76.3 for 12-month PDC < 80%, p< 0.0001). Additionally, a pattern of lower MEQ scores was obtained for patients with more severe disease assessed with Routine Assessment of Patient Index Data 3.

CONCLUSION

The 24-item MEQ is a reliable and valid instrument to assess the adherence of RA patients taking MTX, potentially improving over historical refill rate metrics by providing insights into the individual reasons for lack of adherence. This information should facilitate clinician-patient discussions and help inform treatment decisions.

Establishing a learning healthcare system to improve health outcomes for people with epilepsy

OBJECTIVE

To describe the organization of the Epilepsy Learning Healthcare System (ELHS), a network that aims to improve care outcomes for people with epilepsy (PWE).

MATERIALS AND METHODS

Patients and family partners, providers, researchers, epidemiologists, and other leaders collaborated to recruit epilepsy centers and community services organizations into a novel learning network. A multidisciplinary Coordinating Committee developed ELHS governance and organizational structure, including four key planning Cores (Community, Clinical, Quality Improvement, and Data). Through Quality Improvement (QI) methodology grounded in the Institute for Healthcare Improvement (IHI) model, including iterative Plan-Do-Study-Act (PDSA) rapid learning cycles and other learning and sharing sessions, ELHS equipped epilepsy centers and community organizations with tools to standardize, measure, share, and improve key aspects of epilepsy care. The initial learning cycles addressed provider documentation of seizure frequency and type, and also screening for medication adherence barriers. Rapid learning cycles have been carried out on these initial measures in both clinical centers and community-based settings. Additional key measures have been defined for quality of life, screening, and treatment for mental health and behavioral comorbidities, transition from pediatric to adult care, counseling for women and girls living with epilepsy, referral for specialty care, and prevention and treatment of seizure clusters and status epilepticus.

RESULTS

It is feasible to adopt a learning healthcare system framework in epilepsy centers and community services organizations. Through structured collaboration between epilepsy care providers, community support organizations, PWE, and their families/caregivers we have identified new opportunities to improve outcomes that are not available in traditional care models.

Access to Technology and Preferences for an mHealth Intervention to Promote Medication Adherence in Pediatric Acute Lymphoblastic Leukemia: Approach Leveraging Behavior Change Techniques

Background

Suboptimal adherence to 6-mercaptopurine (6-MP) is prevalent in pediatric acute lymphoblastic leukemia (ALL) and associated with increased risk of relapse. Rapid uptake of personal technology makes mobile health (mHealth) an attractive platform to promote adherence.

Objective

Study objectives were to examine access to mobile technology and preferences for an mHealth intervention to improve medication adherence in pediatric ALL.

Methods

A cross-sectional survey was administered in oncology clinic to parents of children with ALL as well as adolescents and young adults (AYAs) with ALL receiving maintenance chemotherapy.

Results

A total of 49 parents (median age [IQR] 39 [33-42] years; female 76% [37/49]) and 15 patients (median age [IQR] 17 [16-19]; male 80% [12/15]) participated. All parents and AYAs owned electronic tablets, smartphones, or both. Parents’ most endorsed mHealth app features included a list of medications (71%, 35/49), information about 6-MP (71%, 35/49), refill reminders (71%, 35/49), and reminders to take 6-MP (71%, 35/49). AYAs' most endorsed features included refill reminders (73%, 11/15), reminders to take 6-MP (73%, 11/15), and tracking 6-MP (73%, 11/15).

Conclusions

Parents and AYAs reported ubiquitous access to mobile technology and strong interest in multiple adherence-specific mHealth app features. Parents and AYAs provided valuable insight into preferred features for a multifunctional behavioral intervention (mHealth app) to promote medication adherence in pediatric ALL.