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PurposeTo evaluate how well three different patient-reported outcomes (PROs) measure individual change.MethodsTwo hundred and fourteen patients (from two sites) initiating first or new chemotherapy for any stage of breast or gastrointestinal cancer participated. The 13-item FACIT Fatigue scale, a 7-item PROMIS® Fatigue Short Form (PROMIS 7a), and the PROMIS® Fatigue computer adaptive test (CAT) were administered monthly online for 6 months. Reliability of measured change was defined, under a population mixed effects model, as the ratio of estimated systematic variance in rate of change to the estimated total variance of measured individual differences in rate of change. Precision of individual measured change, the standard error of measurement of change, was given by the square root of the rate-of-change sampling variance. Linear and quadratic models were examined up to 3 and up to 6 months.ResultsA linear model for measured change showed the following by 6 and 3 months, respectively: PROMIS CAT (0.363 and 0.342); PROMIS SF (0.408 and 0.533); FACIT (0.459 and 0.473). Quadratic models offered no noteworthy improvement over linear models. Both reliability and precision results demonstrate the need to improve the measurement of intra-individual change.ConclusionsThese results illustrate the challenge of reliably measuring individual change in fatigue with a level of confidence required for intervention. Optimizing clinically useful measurement of intra-individual differences over time continues to pose a challenge for PROs.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

PURPOSE: To evaluate the validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) physical function measures in a diverse, population-based cancer sample. METHODS: Cancer patients 6-13 months post-diagnosis (n = 4840) were recruited for the Measuring Your Health study. Participants were diagnosed between 2010 and 2013 with non-Hodgkin lymphoma or cancers of the colorectum, lung, breast, uterus, cervix, or prostate. Four PROMIS physical function short forms (4a, 6b, 10a, and 16) were evaluated for validity and reliability across age and race-ethnicity groups. Covariates included gender, marital status, education level, cancer site and stage, comorbidities, and functional status. RESULTS: PROMIS physical function short forms showed high internal consistency (Cronbachs α = 0.92-0.96), convergent validity (fatigue, pain interference, FACT physical well-being all r ≥ 0.68), and discriminant validity (unrelated domains all r ≤ 0.3) across survey short forms, age, and race-ethnicity. Known-group differences by demographic, clinical, and functional characteristics performed as hypothesized. Ceiling effects for higher-functioning individuals were identified on most forms. CONCLUSIONS: This study provides strong evidence that PROMIS physical function measures are valid and reliable in multiple race-ethnicity and age groups. Researchers selecting specific PROMIS short forms should consider the degree of functional disability in their patient population to ensure that length and content are tailored to limit response burden.

PurposeDocumenting the impact of different types of cancer on daily functioning and well-being is important for understanding burden relative to other chronic medical conditions. This study examined the impact of 10 different cancers and 13 other chronic medical conditions on health-related quality of life.MethodsHealth-related quality of life data were gathered on the Medicare Health Outcomes Survey (MHOS) between 1998 and 2002. Cancer information was ascertained using the National Cancer Institute's surveillance, epidemiology, and end results program and linked to MHOS data.ResultsThe average SF-6D score was 0.73 (SD = 0.14). Depressive symptoms had the largest unique association with the SF-6D, followed by arthritis of the hip, chronic obstructive pulmonary disease/asthma, stroke, and sciatica. In addition, the majority of cancer types were significantly associated with the SF-6D score, with significant negative weights ranging from -0.01 to -0.02 on the 0-1 health utility scale. Distant stage of cancer was associated with large decrements in the SF-6D ranging from -0.04 (prostate) to -0.08 (female breast).ConclusionA large number of chronic conditions, including cancer, are associated uniquely with decrements in health utility. The cumulative effects of comorbid conditions have substantial impact on daily functioning and well-being of Medicare beneficiaries.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Purpose: Electronic patient-reported outcomes (ePROs) are increasingly being used for symptom monitoring during routine cancer care, but have rarely been evaluated in diverse patient populations. We assessed ePRO user experiences and perceived value among Black and White cancer patients.Methods: We recruited 30 Black and 49 White bladder and prostate cancer patients from a single institution. Participants reported symptoms using either a web-based or automated telephone interface over 3 months and completed satisfaction surveys and qualitative interviews focused on user experiences and value. Using a narrative mixed methods approach, we evaluated overall and race-specific differences in ePRO user experiences and perceived value.Results: Most participants selected the web-based system, but Blacks were more likely to use the automated telephone-based system than Whites. In satisfaction surveys, Whites more commonly reported ease in understanding and reporting symptoms compared with Blacks. Blacks more often reported that the ePRO system was helpful in facilitating symptom-related discussions with clinicians. During interviews, Blacks described how the ePRO helped them recognize symptoms, while Whites found value in better understanding and tracking symptoms longitudinally. Blacks also expressed preferences for paper-based ePRO options due to perceived ease in better understanding of symptom items.Conclusion: Electronic patient-reported outcomes are perceived as valuable for variable reasons by Black and White cancer populations, with greater perceived value for communicating with clinicians reported among Blacks. To optimize equitable uptake of ePROs, oncology practices should offer several ePRO options (e.g., web-based, phone-based), as well as paper-based options, and consider the e-health literacy needs of patients during implementation. [ABSTRACT FROM AUTHOR]