Lung cancer screening is a complex and individualized decision. To understand how best to support patients in this decision, we must understand how shared decision-making is associated with both ...decisional and behavioral outcomes.
Observational cohort study combining patient survey data with electronic health record data of lung screening-eligible patients who recently engaged in a shared decision-making discussion about screening with a primary care clinician.
Using multivariable analysis (n = 529), factors associated with higher lung cancer screening decisional quality include higher knowledge (OR = 1.33, p < .0001), lower perceived benefits (OR = 0.90, p = .0004), higher perceived barriers (OR = 1.07, p < .0001), higher self-efficacy (OR = 1.13, p < .0001), and higher levels of perceiving the discussion was shared (OR = 1.04, p < .0001). Factors associated with the patient’s decision to screen include older age (OR = 1.12, p = .0050) and higher self-efficacy (OR = 1.11, p = .0407). Factors associated with screening completion included older age (OR = 1.05, p = .0050), higher knowledge (OR = 1.24, p = .0045), and higher self-efficacy (OR = 1.12, p = .0003).
Shared decision-making in lung cancer screening is a dyadic process between patient and clinician. As we continue to strive for high-quality patient-centered care, patient decision quality may be enhanced by targeting key factors such as high-quality knowledge, self-efficacy, and fostering a shared discussion to support patient engagement in lung cancer screening decisions.
•Decisional quality is an important variable in lung cancer screening.•Decisional quality has potential to support recommended lung screening receipt.•Knowledge, self-efficacy, and perceiving the decision to be shared are the most salient variables.
Despite reliable evidence-based research supporting the COVID-19 vaccines, population-wide confidence and trust remain limited. We sought to expand prior knowledge about COVID-19 vaccine perceptions, ...while determining which population groups are at greatest risk for not getting a vaccine.
Study participants in the U.S. (79% female, median age group 46-60 years) were recruited through an online Qualtrics survey distributed as a Facebook advertisement from 3/19/21-4/30/21. We assumed that every participant is at risk of COVID-19 infection and should be able to get the vaccine with proper access. Bivariate and multivariable models were performed. Collinearity between variables was assessed.
A total of 2,626 responses were generated and 2,259 were included in data analysis. According to our multivariate model analysis, vaccines were perceived as safe by those who had or planned to obtain full vaccination (adjusted odds ratio (aOR) (95% confidence interval) = 40.0 (19.0, 84.2); p< 0.0001) and those who indicated trust in science (aOR = 10.5 (5.1, 21.8); p< 0.0001); vaccines were perceived as not safe by those who self-identified as Republicans vs. self-identified Democrats (aOR = 0.2 (0.1, 0.5); p = 0.0020) and those with high school or lower education (aOR = 0.2 (0.1, 0.4); p = 0.0007). Similarly, according to our multivariate model analysis, the following groups were most likely to reject vaccination based on belief in vaccinations: those with lower income (aOR = 0.8 (0.6, 0.9); p = 0.0106), those who do not know anyone who had been vaccinated (aOR = 0.1 (0.1, 0.4); p< 0.0001), those who are unwilling to get vaccinated even if family and friends had done so (aOR = 0.1 (<0.1, 0.2); p< 0.0001), those who did not trust science (aOR < 0.1 (<0.1, 0.1); p< 0.0001), those who believe that vaccination was unnecessary if others had already been vaccinated (aOR = 2.8 (1.5, 5.1); p = 0.0007), and those who indicate refusal to vaccinate to help others (aOR = 0.1 (0.1, 0.2); p< 0.0001). An alpha of p<0.05 was used for all tests.
Level of education and partisanship, but not race/ethnicity, were the most likely factors associated with vaccine hesitancy or likelihood to vaccinate. Also, low vaccination rates among underrepresented minorities may be due to distrust for healthcare industries. Population sub-groups less likely to be vaccinated and/or receptive to vaccines should be targeted for vaccine education and incentives.
Lung cancer is the leading cause of cancer death for both men and women in the United States. The National Lung Screening Trial (NLST) demonstrated that low-dose computed tomography (LDCT) screening ...can reduce lung cancer mortality among high-risk individuals, but uptake of lung screening remains low. Social media platforms have the potential to reach a large number of people, including those who are at high risk for lung cancer but who may not be aware of or have access to lung screening.
This paper discusses the protocol for a randomized controlled trial (RCT) that leverages FBTA to reach screening-eligible individuals in the community at large and intervene with a public-facing, tailored health communication intervention (LungTalk) to increase awareness of, and knowledge about, lung screening.
This study will provide important information to inform the ability to refine implementation processes for national population efforts to scale a public-facing health communication focused intervention using social media to increase screening uptake of appropriate, high-risk individuals.
The trial is registered at clinicaltrials.gov (#NCT05824273).
IMPORTANCE Hospitalized older adults often lack decisional capacity, but outside of the intensive care unit and end-of-life care settings, little is known about the frequency of decision making by ...family members or other surrogates or its implications for hospital care. OBJECTIVE To describe the scope of surrogate decision making, the hospital course, and outcomes for older adults. DESIGN, SETTING, AND PARTICIPANTS Prospective, observational study conducted in medicine and medical intensive care unit services of 2 hospitals in 1 Midwestern city in 1083 hospitalized older adults identified by their physicians as requiring major medical decisions. MAIN OUTCOMES AND MEASURES Clinical characteristics, hospital outcomes, nature of major medical decisions, and surrogate involvement. RESULTS According to physician reports, at 48 hours of hospitalization, 47.4% (95% CI, 44.4%-50.4%) of older adults required at least some surrogate involvement, including 23.0% (20.6%-25.6%) with all decisions made by a surrogate. Among patients who required a surrogate for at least 1 decision within 48 hours, 57.2% required decisions about life-sustaining care (mostly addressing code status), 48.6% about procedures and operations, and 46.9% about discharge planning. Patients who needed a surrogate experienced a more complex hospital course with greater use of ventilators (2.5% of patients who made decisions and 13.2% of patients who required any surrogate decisions; P < .001), artificial nutrition (1.7% of patients and 14.4% of surrogates; P < .001), and length of stay (median, 6 days for patients and 7 days for surrogates; P < .001). They were more likely to be discharged to an extended-care facility (21.2% with patient decisions and 40.9% with surrogate decisions; P < .001) and had higher hospital mortality (0.0% patients and 5.9% surrogates; P < .001). Most surrogates were daughters (58.9%), sons (25.0%), or spouses (20.6%). Overall, only 7.4% had a living will and 25.0% had a health care representative document in the medical record. CONCLUSIONS AND RELEVANCE Surrogate decision making occurs for nearly half of hospitalized older adults and includes both complete decision making by the surrogate and joint decision making by the patient and surrogate. Surrogates commonly face a broad range of decisions in the intensive care unit and the hospital ward setting. Hospital functions should be redesigned to account for the large and growing role of surrogates, supporting them as they make health care decisions.
Abstract Lung cancer screening is a relatively new screening option. Inequalities related to screening behavior have been documented in other types of cancer screening. Because stage at presentation ...drives mortality in lung cancer, it is critical to understand factors that influence screening behavior in lung cancer screening in order to intervene. However, we must first understand where disparities exist in lung cancer screening participation in order to effectively guide intervention efforts. Therefore, the purpose of this study was to determine the association of sociodemographic (including key disparity-related variables) and knowledge with lung cancer screening behavior. This cross-sectional, descriptive study used survey methodology to collect data from 438 screening-eligible individuals in the state of Indiana between January and February 2017 and measured sociodemographic variables and knowledge about lung cancer and screening. Key sociodemographic and health status characteristics associated with screening behavior included race, geographic area of residence, income, health insurance, and family history of lung cancer. Of the variables generally reflective of disparities, key differences were noted by race and geographic area of residence with total knowledge scores as well as screening behavior, respectively. Results indicate key differences in race and geographic area of residence that may perpetuate screening behavior disparities. We have a unique opportunity at this early implementation stage in lung cancer screening to learn what variables influence screening behavior from our target patient population. This knowledge can be used to design equitable patient outreach programs, meaningful, tailored patient engagement materials, and effective patient-clinician decision support tools.
Purpose
Children with mouth breathing (MB) report poor quality of life. It is unknown whether improvement in MB is associated with improvement in behavior or quality of life. We hypothesized that in ...children with MB and obstructive sleep apnea (OSA), improvement in MB is associated with improvement in behavior and quality of life, independent of improvement in OSA.
Methods
This is a retrospective post hoc analysis utilizing Childhood Adenotonsillectomy Trial (CHAT) dataset, a multicenter controlled study evaluating outcomes in children with OSA randomized into early adenotonsillectomy or watchful waiting. Children with OSA and MB at baseline (determined by reporting 2 or greater to OSA-18 questionnaire on mouth breathing) were divided into 2 groups: improved mouth breathing (IMB, determined by a lower score compared to baseline at follow up) and persistent mouth breathing (PMB, determined by an unchanged or higher score
).
Baseline characteristics, behavior (Conners GI score), sleepiness (Epworth Sleepiness Scale), and quality of life (PedsQL) were compared between the groups using appropriate statistical tests. ANCOVA models were used to analyze change in outcomes, adjusting for treatment arm and change in AHI.
Results
Of 273 children with OSA and MB at baseline, IMB (
N
= 195) had significantly improved score between visits for Conner’s GI Total T score, Epworth Sleepiness Scale, and PedsQL compared to
PMB
(
N
= 78), after adjusting for treatment arm and change in AHI.
Conclusion
Our study suggests an interesting association between mouth breathing and quality of life, independent of polysomnographic evidence. Future studies should explore the effect of mouth breathing on quality of life, in absence of OSA.
Polysomnography (PSG) is increasingly used in the assessment of infants. Newborn PSG reference values based on recent standardization are not available. This study provides reference values for PSG ...variables in healthy newborn infants.
Cross-sectional study of normal term newborn infants using standardized PSG collection and American Academy of Sleep Medicine interpretation criteria.
Thirty infants born between 37 and 42 weeks gestation underwent PSG testing before 30 days of age (mean 19.6 days). The infants had a mean sleep efficiency of 71% with average proportions of transitional, NREM and REM sleep estimated at 16.1%, 43.3% and 40.6% respectively. Mean arousal index was 14.7 events/h with respiratory arousal index of 1.2 events/h. Mean apnea-hypopnea index (AHI) was 14.9 events/h. Central, obstructive, and mixed apnea indices were 5.4, 2.3, and 1.2 events/h respectively. Mean oxygen saturation in sleep was 97.9% with a nadir of 84.4%. Mean end tidal CO
was 35.4 mmHg with an average of 6.2% of sleep time spent above end-tidal CO
45 mmHg and 0.6% above 50 mmHg.
The sleep efficiency was significantly lower and the AHI was significantly higher compared to healthy children older than 1 year. The AHI was also higher than reported in healthy infants older than 1 month. These findings suggest current severity classifications of sleep apnea may not apply to newborn infants.
A systematic review and meta-analysis determined the effect of restaurant menu labeling on calories and nutrients chosen in laboratory and away-from-home settings in U.S. adults. Cochrane-based ...criteria adherent, peer-reviewed study designs conducted and published in the English language from 1950 to 2014 were collected in 2015, analyzed in 2016, and used to evaluate the effect of nutrition labeling on calories and nutrients ordered or consumed. Before and after menu labeling outcomes were used to determine weighted mean differences in calories, saturated fat, total fat, carbohydrate, and sodium ordered/consumed which were pooled across studies using random effects modeling. Stratified analysis for laboratory and away-from-home settings were also completed. Menu labeling resulted in no significant change in reported calories ordered/consumed in studies with full criteria adherence, nor the 14 studies analyzed with ≤1 unmet criteria, nor for change in total ordered carbohydrate, fat, and saturated fat (three studies) or ordered or consumed sodium (four studies). A significant reduction of 115.2 calories ordered/consumed in laboratory settings was determined when analyses were stratified by study setting. Menu labeling away-from-home did not result in change in quantity or quality, specifically for carbohydrates, total fat, saturated fat, or sodium, of calories consumed among U.S. adults.
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