Emotional and functional well-being in long-term breast cancer survivorship.

PURPOSE: Emotional and functional well-being (EWB and FWB) are important components of mental health and quality of life. This study aims to evaluate long-term EWB and FWB in breast cancer (BC) survivors. METHODS: The Carolina Breast Cancer Study Phase 3 oversampled Black and younger (< 50 years in age) women so that they each represent approximately 50% of the study population and assessed participants' EWB and FWB with the Functional Assessment of Cancer Therapy-Breast (FACT-B) at 5- (baseline), 25-, and 84-months post diagnosis. Multinomial logit models were used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for associations between demographic and clinical characteristics and well-being change relative to baseline. RESULTS: Among 2,781 participants with BC, average EWB and FWB improved with time since diagnosis. Persistent FWB decrements were associated with Black race [OR 1.4 (95% CI 1.2-1.7) and 1.3 (95% CI 1.1-1.6), at 25-months and 84-months respectively], older age [OR 1.4 (95% CI 1.1-1.7) and 1.5 (95% CI 1.2-1.8), respectively], no chemotherapy, and recurrence [OR 2.9 (95% CI 1.8-4.8) and 3.1 (95% CI 2.1-4.6), respectively]. EWB decrements were associated with advanced stage and recurrence. Decrements in combined (FWB+EWB) well-being were associated with recurrence at both follow-up survey timepoints [ORs 4.7 (95% CI 2.7-8.0) and 4.3 (95% CI 2.8-6.6), respectively]. CONCLUSIONS: Long-term well-being varies by demographics and clinical features, with Black women and women with aggressive disease at greatest risk of long-term decrements.

Protocol for the development of a Core Outcome Set (COS) for Adolescents and Young Adults (AYAs) with cancer.

BACKGROUND: Adolescents and young adults (AYAs) with cancer, defined as individuals aged 15-39 years at initial cancer diagnosis, form a unique population; they face age-specific issues as they transition to adulthood. This paper presents the protocol for the development of a core outcome set (COS) for AYAs with cancer. METHODS: The methodological standards from the Core Outcome Measures in Effectiveness Trials (COMET) and the International Consortium for Health Outcomes Measurement (ICHOM) for COS development will guide the development of the COS for AYAs with cancer. The project will consist of the following phases: (1) define the scope of the COS; (2) establish the need for a COS in this field (3) assemble an international, multi-stakeholder working group; (4) develop a detailed protocol; (5) determine "what to measure" (i.e., outcomes); (6) determine "how to measure" (i.e., measures); and (7) determine "case-mix" variables. CONCLUSIONS: The development of a COS for AYAs with cancer will facilitate the implementation of efficient and relevant standards for data collection, both for clinical trials and in routine healthcare, thereby increasing the usefulness of these data to improve the value of the care given to these underserved young cancer patients.

Systematic Literature Review of Health-Related Quality-of-Life Measures for Caregivers of Older Adult Trauma Patients.

INTRODUCTION: As the older adult population increases, hospitals treat more older adults with injuries. After leaving, these patients suffer from decreased mobility and independence, relying on care from others. Family members often assume this responsibility, mostly informally and unpaid. Caregivers of other older adult populations have increased stress and decreased caregiver-related quality of life (CRQoL). Validated CRQoL measures are essential to capture their unique experiences. Our objective was to review existing CRQoL measures and their validity in caregivers of older adult trauma patients. METHODS: A professional librarian searched published literature from the inception of databases through August 12, 2022 in MEDLINE (via PubMed), Embase (via Elsevier), and CINAHL Complete (via EBSCO). We identified 1063 unique studies of CRQoL in caregivers for adults with injury and performed a systematic review following COnsensus-based Standards for the selection of health Measurement Instruments guidelines for CRQoL measures. RESULTS: From the 66 studies included, we identified 54 health-related quality-of-life measures and 60 domains capturing caregiver-centered concerns. The majority (83%) of measures included six or fewer CRQoL content domains. Six measures were used in caregivers of older adults with single-system injuries. There were no validated CRQoL measures among caregivers of older adult trauma patients with multisystem injuries. CONCLUSIONS: While many measures exist to assess healthcare-related quality of life, few, if any, adequately assess concerns among caregivers of older adult trauma patients. We found that CRQoL domains, including mental health, emotional health, social functioning, and relationships, are most commonly assessed among caregivers. Future measures should focus on reliability and validity in this specific population to guide interventions.

Development of an ultra-short measure of eight domains of health-related quality of life for research and clinical care: the patient-reported outcomes measurement information system® PROMIS®-16 profile.

PURPOSE: We describe development of a short health-related quality of life measure, the patient-reported outcomes measurement information system® (PROMIS®)-16 Profile, which generates domain-specific scores for physical function, ability to participate in social roles and activities, anxiety, depression, sleep disturbance, pain interference, cognitive function, and fatigue. METHODS: An empirical evaluation of 50 candidate PROMIS items and item pairs was conducted using data from a sample of 5775 respondents from Amazon's Mechanical Turk (MTurk). Results and item response theory information curves for a subset of item pairs were presented and discussed in a stakeholder meeting to narrow the candidate item sets. A survey of the stakeholders and 124 MTurk adults was conducted to solicit preferences among remaining candidate items and finalize the measure. RESULTS: Empirical evaluation showed minimal differences in basic descriptive statistics (e.g., means, correlations) and associations with the PROMIS-29 + 2 Profile, thus item pairs were further considered primarily based on item properties and content. Stakeholders discussed and identified subsets of candidate item pairs for six domains, and final item pairs were agreed upon for two domains. Final items were selected based on stakeholder and MTurk-respondent preferences. The PROMIS-16 profile generates eight domain scores with strong psychometric properties. CONCLUSION: The PROMIS-16 Profile provides an attractive brief measure of eight distinct domains of health-related quality of life, representing an ideal screening tool for clinical care, which can help clinicians quickly identify distinct areas of concern that may require further assessment and follow-up. Further research is needed to confirm and extend these findings.

Facets of physical function assessed by patient-reported outcome measures in oncology research.

PURPOSE: The U.S. Food & Drug Administration has identified physical functioning (PF) as a core patient-reported outcome (PRO) in cancer clinical trials. The purpose of this study was to identify PF PRO measures (PROMs) in adult cancer populations and classify the PROMs by content covered (facets of PF) in each measure. METHODS: As part of the Patient Reports of Physical Functioning Study (PROPS) research program, we conducted a targeted literature review to identify PROMs that could be used in clinical trials to evaluate PF from the patient perspective. Next, we convened an advisory panel to conduct a modified, reactive, Delphi study to reach consensus on which PF facets are assessed by PROMs identified in the review. The panel engaged in a "card sort" activity to classify PROM items by PF facets. Consensus was reached when 80% of panel members agreed that at least one facet was being measured by each PROM item. RESULTS: The literature review identified 13 PROMs that met inclusion criteria. Eight facets of PF were identified for classification in the Delphi study: ability, completion, difficulty, limitation, quality, frequency, bother, and satisfaction. Through two rounds, the panel documented and classified conceptual approaches for each PRO item presented. The most prevalent PF facets were ability, difficulty, and limitation. CONCLUSION: Classifying PF PROMs by PF facets will promote more consistent communication regarding the aspects of PF represented in each PROM, helping researchers prioritize measures for inclusion in cancer clinical trials.

What facets of physical function are most important to adults diagnosed with cancer?

PURPOSE: Successful patient-focused drug development involves selecting and measuring outcomes in clinical trials that are important to patients. The U.S. Food & Drug Administration's definition of clinical benefit includes how patients feel, function, or survive. Patients are considered the experts in describing how they feel and function. In cancer trials, patient-reported measures of physical function provide insight into how patients function at baseline, benefit from the interventions being studied, and the impact of treatment side effects. We conducted a qualitative study with adults diagnosed with cancer to describe facets of physical function from their perspective and to identify which facets are most important to this patient population. METHODS: Using concept elicitation and cognitive interviewing techniques, we conducted semi-structured interviews with 72 adults ≥ 22 years of age with cancer who received treatment with an anticancer drug or biologic within six months of the interview. We selected participants using purposive sampling with the aim to elicit diverse experiences regarding how they may interpret and respond to questions related to physical function. Participants were presented with patient-reported outcome (PRO) items representative of PRO measures used in cancer and general populations. RESULTS: Five facets of how physical function relates to activities were defined from the patient perspective: ability, difficulty, limitation, satisfaction, and completion. More than half of the participants indicated that ability was the most important facet of physical function. The next most important were satisfaction (18.3%), limitation (14.1%), difficulty (5.6%), and completion (2.8%). CONCLUSION: This study demonstrates that we must be more specific about the facets of physical function that we set out to assess when we use PRO measures to describe the patient experience. These results have implications for the specificity of physical function facets when measured in cancer clinical trials.

Recommendations on the use of item libraries for patient-reported outcome measurement in oncology trials: findings from an international, multidisciplinary working group.

The use of item libraries for patient-reported outcome (PRO) measurement in oncology allows for the customisation of PRO assessment to measure key health-related quality of life concepts of relevance to the target population and intervention. However, no high-level recommendations exist to guide users on the design and implementation of these customised PRO measures (item lists) across different PRO measurement systems. To address this issue, a working group was set up, including international stakeholders (academic, independent, industry, health technology assessment, regulatory, and patient advocacy), with the goal of creating recommendations for the use of item libraries in oncology trials. A scoping review was carried out to identify relevant publications and highlight any gaps. Stakeholders commented on the available guidance for each research question, proposed recommendations on how to address gaps in the literature, and came to an agreement using discussion-based methods. Nine primary research questions were identified that formed the scope and structure of the recommendations on how to select items and implement item lists created from item libraries. These recommendations address methods to drive item selection, plan the structure and analysis of item lists, and facilitate their use in conjunction with other measures. The findings resulted in high-level, instrument-agnostic recommendations on the use of item-library-derived item lists in oncology trials.

Do PRO Measures Function the Same Way for all Individuals With Heart Failure?

Women diagnosed with heart failure report worse quality of life than men on patient-reported outcome (PRO) measures. An inherent assumption of PRO measures in heart failure is that women and men interpret questions about quality of life the same way. If this is not the case, the risk then becomes that the PRO scores cannot be used for valid comparison or to combine outcomes by subgroups of the population. Inability to compare subgroups validly is a broad issue and has implications for clinical trials, and it also has specific and important implications for identifying and beginning to address health inequities. We describe this threat to validity (the psychometric term is differential item functioning), why it is so important in heart-failure outcomes, the research that has been conducted thus far in this area, the gaps that remain, and what we can do to avoid this threat to validity. PROs bring unique information to clinical decision making, and the validity of PRO measures is key to interpreting differences in heart failure outcomes.

Patient perspectives on considerations, tradeoffs, and experiences with multiple myeloma treatment selection: a qualitative descriptive study.

BACKGROUND: Advances in multiple myeloma treatment and a proliferation of treatment options have resulted in improved survival rates and periods of symptom-free remission for many multiple myeloma patients. As a result, health-related quality of life (HRQoL) concerns related to myeloma treatments have become increasingly salient for this patient population and represent an important consideration guiding patients' treatment choices. To gain an understanding of patients' experiences with choosing myeloma therapies and explore the HRQoL concerns that are most important to them, we interviewed a diverse sample of US-based multiple myeloma patients about their treatment considerations. METHODS: We conducted a qualitative descriptive study using in-depth interviews. Participants reflected on (1) the factors that were most important to them when thinking about multiple myeloma treatment and how these have changed over time, (2) how they might weigh the importance of treatment efficacy vs. side effects, (3) trade-offs they would be willing to make regarding efficacy vs. HRQoL, and (4) treatment changes they had experienced. Interviews were audio-recorded and transcribed, and narratives were analyzed using applied thematic analysis. RESULTS: We interviewed 21 patients, heterogeneous in their disease trajectory and treatment experience. Participants were 36 to 78 years, 52% female, and 38% Black. Efficacy was named as the most important treatment consideration by almost two-thirds of participants, and over half also valued HRQoL aspects such as the ability to maintain daily functioning and enjoyment of life. Participants expressed concern about potential treatment side effects and preferred more convenient treatment options. Although participants stated largely trusting their clinicians' treatment recommendations, many said they would stop a clinician-recommended treatment if it negatively impacted their HRQoL. Participants also said that while they prioritized treatment efficacy, they would be willing to change to a less efficacious treatment if side effects became intolerable. CONCLUSIONS: Our findings link to other reports reflecting considerations that are important to multiple myeloma patients, including the importance placed on increasing life expectancy and progression-free survival, but also the tension between treatment efficacy and quality of life. Our results extend these findings to a racially diverse US-based patient population at different stages in the disease trajectory.

Designing and validating novel communication measures for pediatric, adolescent, and young adult oncology care and research: The PedCOM measures.

BACKGROUND: High-quality communication in pediatric and adolescent cancer is the standard of care. Yet, we lack pediatric-specific communication measures. We designed self-report and caregiver-report communication measures for use in pediatric oncology settings. METHODS: We recruited adolescent and young adults (AYAs; 12-24 years) with cancer and parents of children and AYAs between 1 month post-diagnosis and 2 months after completing treatment. Participants completed measures including 58 questions addressing eight previously characterized communication functions. For each function, we conducted factor analysis, and assessed reliability and construct validity. Based on psychometric properties, we created final long-form (31 items) and short-form (eight items) communication measures (PedCOM) for both self- and caregiver-report. RESULTS: Participants included 200 parents and 88 AYAs. The final 31-item and eight-item PedCOM measures for parents and AYAs demonstrated good unidimensional model fit. Each communication function (e.g., building relationships) demonstrated high reliability, coefficient alphas ranged from .83 to .93 for parents and .85 to .93 for AYAs. The overall 31-item and eight-item PedCOM measures also demonstrated high reliability (alphas >.9). For construct validity, PedCOM-Parent-31 and PedCOM-Parent-8 correlated positively with satisfaction with care, trust, emotional self-management, and decisional satisfaction, and negatively with anxiety and caregiver burden. PedCOM-AYA-31 and PedCOM-AYA-8 correlated positively with satisfaction with care, trust, emotional self-management, symptoms self-management, and decisional satisfaction, and negatively with anxiety. DISCUSSION: We developed valid and reliable measures of communication functions for parents and AYAs with cancer. These measures can support organizations and stakeholder groups that are striving to improve the quality of cancer care.

Health-related quality of life in adolescents and young adults with cancer who received radiation therapy: a scoping review.

PURPOSE: Radiation therapy (RT) is a critical component of treatment for adolescents and young adults (AYAs, age 15-39 years old) diagnosed with cancer. Limited prior studies have focused on AYAs receiving RT despite the potentially burdensome effects of RT. We reviewed the literature to assess health-related quality of life (HRQOL) in AYAs with cancer who received RT. METHODS: The MEDLINE, EMBASE, and Web of Science databases were searched in January 2022 to identify studies that analyzed HRQOL measured by patient-reported outcomes in AYAs who received RT. After title (n = 286) and abstract (n = 58) screening and full-text review (n = 19), articles that met eligibility criteria were analyzed. RESULTS: Six studies were analyzed. Two studies included AYAs actively receiving treatment and all included patients in survivorship; time between diagnosis and HRQOL data collection ranged from 3 to > 20 years. Physical and mental health were commonly assessed (6/6 studies) with social health assessed in three studies. AYA-relevant HRQOL needs were rarely assessed: fertility (1/6 studies), financial hardship (1/6), body image (0/6), spirituality (0/6), and sexual health (0/6). No study compared HRQOL between patients actively receiving RT and those post-treatment. None of the studies collected HRQOL data longitudinally. CONCLUSION: HRQOL data in AYAs receiving RT is limited. Future studies examining longitudinal, clinician- vs. patient-reported, and AYA-relevant HRQOL are needed to better understand the unique needs in this population.

Health-related quality of life profiles in adolescents and young adults with chronic conditions.

PURPOSE: To assess health-related quality of life (HRQOL) among adolescents and young adults (AYAs) with chronic conditions. METHODS: AYAs (N = 872) aged 14-20 years completed NIH's Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures of physical function, pain interference, fatigue, social health, depression, anxiety, and anger. Latent profile analysis (LPA) was used to group AYAs into HRQOL profiles using PROMIS T-scores. The optimal number of profiles was determined by model fit statistics, likelihood ratio test, and entropy. Multinomial logistic regression models were used to examine how LPA's HRQOL profile membership was associated with patient demographic and chronic conditions. The model prediction accuracy on profile membership was evaluated using Huberty's I index with a threshold of 0.35 for good effect. RESULTS: A 4-profile LPA model was selected. A total of 161 (18.5%), 256 (29.4%), 364 (41.7%), and 91 (10.4%) AYAs were classified into Minimal, Mild, Moderate, and Severe HRQOL Impact profiles. AYAs in each profile had distinctive mean scores with over a half standard deviation (5-points in PROMIS T-scores) of difference between profiles across most HRQOL domains. AYAs who were female or had conditions such as mental health condition, hypertension, and self-reported chronic pain were more likely to be in the Severe HRQOL Impact profile. The Huberty's I index was 0.36. CONCLUSIONS: Approximately half of AYAs with a chronic condition experience moderate to severe HRQOL impact. The availability of risk prediction models for HRQOL impact will help to identify AYAs who are in greatest need of closer clinical care follow-up.

Investigating gender-based differential item functioning on the Kansas City Cardiomyopathy Questionnaire (KCCQ) using qualitative content analysis.

PURPOSE: The purpose of this study is to evaluate potential gender-based differences in interpreting the Kansas City Cardiomyopathy Questionnaire (KCCQ-23) and to explore if there are aspects of health-related quality of life (HRQOL) not captured by the KCCQ-23 that are important to assess in men and/or women with heart failure (HF). METHODS: Patients ≥ 22 years of age with clinician-diagnosed HF and left ventricular ejection fraction ≤ 40% were recruited from two academic medical centers to participate in semi-structured concept elicitation and cognitive debriefing interviews. Enrollment was stratified by patient-identified gender (half women/half men). All interviews were conducted over the phone/web and audio recorded. Interviews were transcribed and descriptive qualitative content analysis was used to summarize findings overall and by gender. RESULTS: Twenty-five adults (56% women) diagnosed with HF participated. The average age was 67 years (range: 25-88). Women attributed a wider variety of symptoms to HF than men. Some participants had difficulty differentiating whether their experiences were due to HF, side effects of their medications, or age. We found very little evidence that participants interpreted KCCQ-23 items differently based on gender. CONCLUSIONS: Overall, our findings indicate that interpretation of the KCCQ-23 items were similar in men and women. However, some modifications to items may improve clarity of interpretation for a wide range of patients.

Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life.

The impact of chronic diseases on health-related quality of life (HRQOL) in adolescents and young adults (AYAs) is understudied. Latent profile analysis (LPA) can identify profiles of AYAs based on their HRQOL scores reflecting physical, mental, and social well-being. This paper will (1) demonstrate how to use LPA to identify profiles of AYAs based on their scores on multiple HRQOL indicators; (2) explore associations of demographic and clinical factors with LPA-identified HRQOL profiles of AYAs; and (3) provide guidance on the selection of adult or pediatric versions of Patient-Reported Outcomes Measurement Information System® (PROMIS®) in AYAs. A total of 872 AYAs with chronic conditions completed the adult and pediatric versions of PROMIS measures of anger, anxiety, depression, fatigue, pain interference, social health, and physical function. The optimal number of LPA profiles was determined by model fit statistics and clinical interpretability. Multinomial regression models examined clinical and demographic factors associated with profile membership. As a result of the LPA, AYAs were categorized into 3 profiles: Minimal, Moderate, and Severe HRQOL Impact profiles. Comparing LPA results using either the pediatric or adult PROMIS T-scores found approximately 71% of patients were placed in the same HRQOL profiles. AYAs who were female, had hypertension, mental health conditions, chronic pain, and those on medication were more likely to be placed in the Severe HRQOL Impact Profile. Our findings may facilitate clinicians to screen AYAs who may have low HRQOL due to diseases or treatments with the identified risk factors without implementing the HRQOL assessment.

Selecting patient-reported outcome measures of health-related quality of life in adult rheumatology: quality and breadth of coverage.

Patient-centered research should assess outcomes important to patients and include patient-reported outcome measures (PROMs) to assess health-related quality of life (HRQOL) domains. Using a well-known HRQOL framework (World Health Organization QOL, or WHOQOL), we reviewed established PROMs used with adults with different types of arthritis to evaluate their HRQOL domain coverage and psychometric evidence to help PROM users select measures and determine whether other measures should be validated and/or developed. Nineteen PROMs and 92 corresponding articles were reviewed to determine which HRQOL domains were assessed. To support a streamlined but rigorous review, we used a rating system based on criteria established in part through existing rubrics (e.g., OMERACT COSMIN). Psychometric properties were rated on a scale from 1 to 18, where 18 was strongest. We examined the intersection between level of domain coverage and extent of psychometric support. Measures most commonly assessed physical health and level of independence, while fewer assessed social relations, environment, and psychological health. No measures assessed spirituality and religion, which may be relevant depending on intended use. PROMs with higher psychometric evidence tended to assess a broader range of HRQOL domains. Rubric scores ranged from 3 to 16, with an average of 9.3. Prominent and psychometrically sound PROMs are available that cover many of the WHOQOL domains. While gaps exist in the domain of spirituality, future work should focus on refining optimal use of existing PROMs relevant for arthritis versus developing new measures. We provide guidance on selecting PROMs, to that end.

Self-Reported Health Outcomes of Children and Youth with 10 Chronic Diseases.

OBJECTIVES: To identify pediatric patient-reported outcomes (PROs) that are associated with chronic conditions and to evaluate the effects of chronic disease activity on PROs. STUDY DESIGN: Participants (8-24 years old) and their parents were enrolled into 14 studies that evaluated Patient-Reported Outcome Measurement Information System PROs across 10 chronic conditions-asthma, atopic dermatitis, cancer, cancer survivors, chronic kidney disease, Crohn's disease, juvenile idiopathic arthritis, lupus, sickle cell disease, and type 1 diabetes mellitus. PRO scores were contrasted with the US general population of children using nationally representative percentiles. PRO-specific coefficients of variation were computed to illustrate the degree of variation in scores within vs between conditions. Condition-specific measures of disease severity and Cohen d effect sizes were used to examine PRO scores by disease activity. RESULTS: Participants included 2975 child respondents and 2392 parent respondents who provided data for 3409 unique children: 52% were 5-12 years old, 52% female, 25% African American/Black, and 14% Hispanic. Across all 10 chronic conditions, children reported more anxiety, fatigue, pain, and mobility restrictions than the general pediatric population. Variation in PRO scores within chronic disease cohorts was equivalent to variation within the general population, exceeding between-cohort variation by factors of 1.9 (mobility) to 5.7 (anxiety). Disease activity was consistently associated with poorer self-reported health, and these effects were weakest for peer relationships. CONCLUSIONS: Chronic conditions are associated with symptoms and functional status in children and adolescents across 10 different disorders. These findings highlight the need to complement conventional clinical evaluations with those obtained directly from patients themselves using PROs.

Sustainable and equivalent improvements in symptoms and functional well-being following viral cure from ledipasvir/sofosbuvir versus elbasvir/grazoprevir for chronic hepatitis C infection: Findings from the randomized PRIORITIZE trial.

The PRIORITIZE trial (clinicaltrials.gov: NCT02786537) was the first comparative effectiveness study to directly compare ledipasvir/sofosbuvir (LDV/SOF) and elbasvir/grazoprevir (EBR/GZR) for the treatment of chronic hepatitis C virus (HCV). A secondary aim of this study was to compare LDV/SOF and EBR/GZR on sustainable changes in several HCV-associated symptoms and functional well-being in patients who achieved sustained virological response (SVR). PRIORITIZE, a randomized controlled trial conducted between 2016 and 2020, evaluated change in six PROMIS® symptom scores (fatigue, sleep disturbance, cognitive disturbance, nausea, diarrhoea, abdominal pain) and functional well-being using the disease-specific HCV-PRO instrument. Survey assessments were administered at baseline, early post-treatment (median = 6 months) and late post-treatment (median = 21 months). Constrained longitudinal linear mixed-effects models were used to evaluate within-treatment change and between-treatment differences. Data from 793 participants (average 55 years old, 57% male, 44% black, 17% with cirrhosis) were analysed. From baseline to early post-treatment, 5 out of 6 symptoms and functional well-being significantly improved (all p's < .05). In the LDV/SOF arm, mean changes ranged from -3.73 for nausea to -6.41 for fatigue and in the EBR/GZR, mean changes ranged from -2.19 for cognitive impairment to -4.67 for fatigue. Change of >3 points was consider clinically meaningful. Improvements in most symptoms slightly favoured LDV/SOF, although the magnitude of differences between the regimens were small. Both regimens demonstrated significant improvements in symptoms and functional well-being that were sustained during the late post-treatment phase. EBR/GZR and LDV/SOF regimens had clinically equivalent and durable improvements in HCV symptoms and functional well-being up to two years after SVR.

The use of patient-reported outcome measures to classify type 1 and 2 systemic lupus erythematosus activity.

OBJECTIVE: We developed a model that categorizes systemic lupus erythematosus (SLE) activity into two dimensions: Type 1 SLE consists of inflammatory activity, including arthritis, nephritis, and rashes; Type 2 SLE includes fatigue, myalgia, mood disturbance, and cognitive dysfunction. Patient-reported outcome (PRO) measures have received attention as a way to capture symptomatology of SLE. The objective of this study was to explore the use of existing PRO measures to classify Type 1 and 2 SLE activity. METHODS: Systemic lupus erythematosus patients completed three questionnaires: Systemic Lupus Activity Questionnaire (SLAQ), Polysymptomatic Distress Scale (PSD), and Patient Health Questionnaire (PHQ-2). SLE Disease Activity Index (SLEDAI) and physician global assessments (PGA; 0-3) for Type 1 and Type 2 activity were also recorded. High Type 1 SLE activity was defined as cSLEDAI ≥4 (scored without labs), SLEDAI ≥6, active nephritis, or Type 1 PGA ≥1.0. High Type 2 SLE activity was defined as Type 2 PGA ≥1.0. Patients with both high Type 1 and 2 activity were defined as Mixed SLE, and patients with low Type 1 and 2 activity were defined as Minimal SLE. Data were reduced with a factor analysis. Using a reduced set of 13 variables, multinomial logistic regression models estimated the probability of Minimal, Type 1, Type 2, and Mixed SLE classification. RESULTS: The study included 208 patients with SLE. The model accurately predicted the clinician-based Type 1 and 2 SLE classification in 63% of patients; 73% of patients had their Type 1 SLE activity accurately predicted; and 83% had their Type 2 SLE activity accurately predicted. Performance varied by group: 87% of Minimal patients were correctly predicted to be in the Minimal SLE group, yet only about one-third of patients in the Type 1 group were correctly predicted to be in the Type 1 group. CONCLUSIONS: Our findings indicate Type 2 SLE activity can be identified by patient-reported data. The use of PROs was not as accurate at predicting Type 1 activity. These findings highlight the challenges of using PROs to categorize and classify SLE symptoms since some manifestations of Type 1 activity (e.g., nephritis) may be essentially clinically silent while other Type 1 manifestations may cause severe symptoms.

Stakeholder-informed conceptual framework for financial burden among adolescents and young adults with cancer.

BACKGROUND: Cancer and its treatments can result in substantial financial burden that may be especially distressing for adolescents and young adults (AYAs) since they are at a developmental stage focused on completing one's education and establishing independence. The purpose of this study was to develop a conceptual model of financial burden among AYA cancer patients to inform development of a financial burden measure. METHODS: In-depth concept elicitation interviews were conducted with a purposive-selected stakeholder sample (36 AYAs and 36 AYA oncology health care providers). The constant comparative method was used to identify themes that illustrate AYAs' experience of financial burden by stakeholder groups. RESULTS: Eleven financial burden themes emerged: (1) impact of socioeconomic status and age; (2) significant cancer costs; (3) indirect cost "ripple effects"; (4) limited awareness of costs (adolescents); (5) emotional impact; (6) feeling overwhelmed navigating the health care system; (7) treatment decision modifications; (8) reducing spending; (9) coping strategies; (10) financial support; and (11) long-lasting impact. The conceptual model highlights the importance of material, psychosocial, and behavioral domains of financial burden with an emphasis on phase along the cancer continuum and developmental stage in the experience of financial burden for AYAs. CONCLUSIONS: Issues presented in the voice of AYA patients and providers highlight the profound impact of financial burden in this survivor group. The next step in this work will be to develop and test a patient-reported measure of financial burden among AYA cancer survivors.

Financial burden for caregivers of adolescents and young adults with cancer.

OBJECTIVE: Adolescent and young adult (AYA) cancer survivors are vulnerable to cancer-related financial burden, which is likely shared by their caregivers. This study aims to enhance an existing conceptual model of financial burden by conducting concept elicitation interviews with caregivers to generate knowledge that can be translated to inform instrumental and psychosocial support in cancer care. METHODS: Qualitative concept elicitation interviews were conducted with 24 caregivers of AYA cancer survivors (caregivers of adolescents, n = 12; caregivers of emerging adults, n = 12) recruited from four sites. Constant comparative methods were used to identify themes, and results were interpreted and organized into domains of the conceptual model. We also explored COVID-19 related financial impacts among a subset (n = 12) of caregivers. RESULTS: Seven themes emerged, which varied by age group and strengthened the conceptualization of the model. Themes centered on: (1) direct and indirect costs of cancer; (2) impact of socioeconomic status on financial burden; (3) caregiver desire to shield AYAs from distress due to financial burden; (4) strategies to manage cancer-related costs; (5) worries about AYAs' financial future; (6) seeking and receiving financial support; and (7) navigating the healthcare system. Findings also revealed that COVID-19 exacerbates financial burden for some caregivers. CONCLUSIONS: Building upon our prior work, we have adapted the conceptual model of financial burden to reflect perspectives of AYAs, oncology providers, and now, caregivers. An important next step is to develop a reliable and valid self-report measure of financial burden among caregivers of AYA cancer survivors.