Validation of the Integrated Palliative Care Outcome Scale (IPOS) in adults with cystic fibrosis.

BACKGROUND: A primary palliative care model for cystic fibrosis (CF) recommends using the Integrated Palliative Care Outcome Scale (IPOS) for screening. Validation of the IPOS is needed. METHODS: This secondary analysis utilized baseline data from a multisite trial of the palliative care model, Improving Life with CF. Adults with CF completed the IPOS, the Memorial Symptom Assessment Scale-CF (MSAS-CF), the CF Questionnaire-Revised (CFQ-R), the Patient Health Questionnaire (PHQ-8), the Generalized Anxiety Disorder (GAD-7), and the Perceived Stress Scale (PSS). IPOS structure was assessed using Cronbach α coefficients and a factor analysis. Construct validity was evaluated through bivariate relationships between IPOS scores and other questionnaire scores, and linear regressions assessing the extent to which the IPOS explains variance in quality-of-life domains. RESULTS: The sample comprised 256 adults with complete IPOS data. α coefficients were .86 for the IPOS total score, .81 for the Physical Symptoms subscale, .79 for the Emotional Symptoms subscale, and .63 for the Communication/Practical Issues subscale. A two-component factor structure best aligned with the current subscales. IPOS scores were significantly associated with other measures; associations with MSAS-CF and CFQ-R subscales differentiated the IPOS Physical and Emotional subscales. The IPOS total score provided unique information about the variance in the CFQ-R Physical Functioning and Respiratory Symptoms domain scores. CONCLUSIONS: In adults with CF, the IPOS has acceptable internal consistency and there is evidence of construct validity. These findings support adoption of the IPOS in the primary palliative care model for CF.

Improving Healthy Food Choices in Low-Income Settings in the United States Using Behavioral Economic-Based Adaptations to Choice Architecture.

Low diet quality is a significant public health problem in the United States, especially among low-income populations. The food environment influences dietary choices. When applied to eating behavior, behavioral economics (BE) recognizes that decision biases instigated by a food environment saturated with unhealthy foods may lead people to purchase such foods, even when they possess the necessary information and skills to make healthy dietary choices. Choice architecture, a BE concept that involves modifying the appeal or availability of choices to "nudge" people toward a certain choice, retains freedom of choice but makes unhealthy options less convenient or visible. Choice architecture has been demonstrated to influence food choices in various settings, including supermarkets, convenience stores, and food pantries. These modifications are low-cost and feasible to implement, making them a viable strategy to help "nudge" patrons toward healthier choices in food establishments serving low-income populations, including food pantries and retailers accepting the Supplemental Nutrition Assistance Program. This narrative review searched, appraised, and underscored the strengths and limitations of extant research studies that used choice architecture adaptations to influence food choices among low-income populations in the United States. Findings from studies in food pantry settings suggest the potential of BE strategies to improve the healthfulness of food choices and dietary intake in low-income populations. In food retail settings, research suggests that BE strategies increase sales of healthy foods, like fruits and vegetables. We identify new areas of research needed to determine if BE-based modifications in low-income settings have sustained impacts on diet quality.