Payer perceptions and use of value assessment tools in the United States.

BACKGROUND: As the United States transitions toward value-based payment, value assessment tools to measure the value of health care interventions are emerging. As the field evolves, it is important to evaluate how these tools are influencing treatment and coverage decisions. OBJECTIVE: To examine payer perceptions and use of US value assessment tools and identify how these tools inform payer decision-making. METHODS: A double-blind, web-based survey was conducted from June to July 2022 to assess health care payers' perceptions and use of value assessment tools developed by the American Society of Clinical Oncology, Drug Pricing Lab, Institute for Clinical and Economic Review (ICER), Innovation and Value Initiative, and National Comprehensive Cancer Network. RESULTS: 51 respondents completed the survey. 86% of payers were familiar with at least 4 of 5 value assessment tools. Both ICER and National Comprehensive Cancer Network tools are perceived as very useful for informing formulary decisions (57% and 49%, respectively). When selecting a value assessment tool, payers identified the inclusion of appropriate metrics and outcomes (92%), comparative clinical effectiveness information (88%), and reliance on rigorous, unbiased methods (86%) to be very/extremely important. Payers reported the inclusion of the patient, provider, and societal perspectives as lower importance (32%, 31%, and 20% identify these elements as very/extremely important, respectively). Payers reported using ICER evidence reports to both expand and restrict coverage decisions. To advance more useful and relevant value assessment tools, payers identified the need for greater stakeholder awareness of existing tools, and some recommended that value assessors increase the volume of assessments conducted. CONCLUSIONS: US health care payers perceive select value assessment tools to be useful for informing health care decisions. As policy momentum behind value assessment builds, additional examination of value assessment tools is needed to inform appropriate application of value assessment in US health care decision-making. DISCLOSURES: This study was funded by Xcenda/AmerisourceBergen. Ms Buelt, Ms Loo, Ms Westrich, and Drs Hydery and Zheng report employment with Xcenda/AmerisourceBergen. Drs Dharbhamalla and Graff report employment with AMCP.

Patient Strategies for Managing the Vicious Cycle of Fatigue, Pain and Urgency in Inflammatory Bowel Disease: Impact, Planning and Support.

BACKGROUND: Inflammatory bowel disease (IBD) causes inter-related symptoms of fatigue, pain and urgency which can persist in remission. AIM: To understand how people with IBD experience and self-manage these symptoms and to inform the future development of an online self-management programme. METHODS: Using exploratory qualitative methods, we recruited participants from clinic and community settings. Focus groups, conducted across the UK, were audio-recorded and professionally transcribed. Transcripts were analysed over four rounds using framework analysis. Eight patients were consulted to agree the final structure of data and themes. RESULTS: Seven focus groups were held; five gave useable data. Twenty-six participants (15 female; ages 21-60 years; disease duration 2-40 years) with Crohn's disease (n = 10), ulcerative colitis (n = 14) and IBD-unclassified (n = 2) attended one of these five focus groups. Three core themes emerged: The Negative Impact of Symptoms, Positively Taking Control and Seeking and Receiving Support. The persistent, often stark impact of multiple co-existing symptoms on physical and emotional wellbeing can force unwanted adjustments and limitations in working, social and intimate arenas of life. Unpredictable symptoms are challenging and impact each other in negative vicious cycles. Managing diet, pacing, accepting background levels of fatigue, pain and urgency, seeking support, exercising and attending to mental wellbeing, are all perceived as helpful in self-managing symptoms. CONCLUSION: Fatigue, pain and urgency are troublesome for patients, especially in combination, suggesting that these should be addressed simultaneously by clinicians. Participants reported several strategies for self-management, providing patient-focused evidence to inform future development of a self-management intervention programme.

Accurate body composition measures from whole-body silhouettes.

PURPOSE: Obesity and its consequences, such as diabetes, are global health issues that burden about 171 × 10(6) adult individuals worldwide. Fat mass index (FMI, kg/m(2)), fat-free mass index (FFMI, kg/m(2)), and percent fat mass may be useful to evaluate under- and overnutrition and muscle development in a clinical or research environment. This proof-of-concept study tested whether frontal whole-body silhouettes could be used to accurately measure body composition parameters using active shape modeling (ASM) techniques. METHODS: Binary shape images (silhouettes) were generated from the skin outline of dual-energy x-ray absorptiometry (DXA) whole-body scans of 200 healthy children of ages from 6 to 16 yr. The silhouette shape variation from the average was described using an ASM, which computed principal components for unique modes of shape. Predictive models were derived from the modes for FMI, FFMI, and percent fat using stepwise linear regression. The models were compared to simple models using demographics alone [age, sex, height, weight, and body mass index z-scores (BMIZ)]. RESULTS: The authors found that 95% of the shape variation of the sampled population could be explained using 26 modes. In most cases, the body composition variables could be predicted similarly between demographics-only and shape-only models. However, the combination of shape with demographics improved all estimates of boys and girls compared to the demographics-only model. The best prediction models for FMI, FFMI, and percent fat agreed with the actual measures with R(2) adj. (the coefficient of determination adjusted for the number of parameters used in the model equation) values of 0.86, 0.95, and 0.75 for boys and 0.90, 0.89, and 0.69 for girls, respectively. CONCLUSIONS: Whole-body silhouettes in children may be useful to derive estimates of body composition including FMI, FFMI, and percent fat. These results support the feasibility of measuring body composition variables from simple cameras such as those found in cell phones.