Do Common Risk Adjustment Methods Do Their Job Well if Center Effects are Correlated With the Center-Specific Mean Values of Patient Characteristics?

BACKGROUND: Direct and indirect standardization are well-established approaches to performing risk adjustment when comparing outcomes between healthcare providers. However, it is an open question whether they work well when there is an association between the center effects and the distributions of the patient characteristics in these centers. OBJECTIVES AND METHODS: We try to shed further light on the impact of such an association. We construct an artificial case study with a single covariate, in which centers can be classified as performing above, on, or below average, and the center effects correlate with center-specific mean values of a patient characteristic, as a consequence of differential quality improvement. Based on this case study, direct standardization and indirect standardization-based on marginal as well as conditional models-are compared with respect to systematic differences between their results. RESULTS: Systematic differences between the methods were observed. All methods produced results that partially reflect differences in mean age across the centers. This may mask the classification as above, on, or below average. The differences could be explained by an inspection of the parameter estimates in the models fitted. CONCLUSIONS: In case of correlations of center effects with center-specific mean values of a covariate, different risk adjustment methods can produce systematically differing results. This suggests the routine use of sensitivity analyses. Center effects in a conditional model need not reflect the position of a center above or below average, questioning its use in defining the truth. Further empirical investigations are necessary to judge the practical relevance of these findings.

Salivary, lacrimal and nasal (SALANS) measure to assess side effects following radioactive iodine treatment: development, psychometric properties, and factor structure.

PURPOSE: This study aimed to develop and psychometrically evaluate a patient-reported outcome measure (PROM), SAlivary, LAcrimal, NaSal (SALANS), to document patients' symptoms after radioactive iodine (RAI) treatment for differentiated thyroid cancer (DTC). METHODS: We generated and iteratively revised SALANS items based on expert input, focus group discussions and feedback from cognitive testing (n = 17). We administered an initial SALANS measure with 39 items to patients diagnosed with DTC in the past two years (n = 105). Exploratory factor analysis (EFA) examined the factor structure of the SALANS items. We assessed the consistency reliability and related the total and subscale scores of the final SALANS to existing PROMs to assess validity. RESULTS: The final SALANS consisted of 33 items and six subscales (sialadenitis, taste, xerostomia, dry eyes, epiphora, and nasal) with six factors extracted by EFA. The six subscales demonstrated good internal reliability (α range = 0.87-0.92). The SALANS total score showed good convergent validity with the Xerostomia Inventory (r = 0.86) and good discriminant validity with a measure of spirituality (r = - 0.05). The mean SALANS total score was significantly higher (d = 0.5, p < 0.04) among patients who had RAI compared to those who did not have RAI. CONCLUSION: Preliminary evidence suggests that SALANS is a novel and reliable PROM to assess the type and frequency all symptoms experienced after RAI treatment for DTC. Future work is needed to further validate and develop the scale.

Impact of trial attrition rates on treatment effect estimates in chronic inflammatory diseases: A meta-epidemiological study.

The objective of this meta-epidemiological study was to explore the impact of attrition rates on treatment effect estimates in randomised trials of chronic inflammatory diseases (CID) treated with biological and targeted synthetic disease-modifying drugs. We sampled trials from Cochrane reviews. Attrition rates and primary endpoint results were retrieved from trial publications; Odds ratios (ORs) were calculated from the odds of withdrawing in the experimental intervention compared to the control comparison groups (i.e., differential attrition), as well as the odds of achieving a clinical response (i.e., the trial outcome). Trials were combined using random effects restricted maximum likelihood meta-regression models and associations between estimates of treatment effects and attrition rates were analysed. From 37 meta-analyses, 179 trials were included, and 163 were analysed (301 randomised comparisons; n = 62,220 patients). Overall, the odds of withdrawal were lower in the experimental compared to control groups (random effects summary OR = 0.45, 95% CI, 0.41-0.50). The corresponding overall treatment effects were large (random effects summary OR = 4.43, 95% CI 3.92-4.99) with considerable heterogeneity across interventions and clinical specialties (I2 = 85.7%). The ORs estimating treatment effect showed larger treatment benefits when the differential attrition was more prominent with more attrition in the control group (OR = 0.73, 95% CI 0.55-0.96). Higher attrition rates from the control arm are associated with larger estimated benefits of treatments with biological or targeted synthetic disease-modifying drugs in CID trials; differential attrition may affect estimates of treatment benefit in randomised trials.

PROMIS-29 in rheumatoid arthritis patients who screen positive or negative for fibromyalgia on MDHAQ FAST4 (fibromyalgia assessment screening tool) or 2011 fibromyalgia criteria.

BACKGROUND: PROMIS-29 T-scores query health-related quality of life (HRQL) in 7 domains, physical function, pain, fatigue, anxiety, depression, sleep quality, and social participation, to establish population norms. An MDHAQ (multidimensional health assessment questionnaire) scores these 7 domains and includes medical information such as a FAST4 (fibromyalgia assessment screening tool) index. We analyzed PROMIS-29 T-scores in rheumatoid arthritis (RA) patients vs population norms and for positive vs negative fibromyalgia (FM) screens and compared PROMIS-29 T-scores to MDHAQ scores to assess HRQL. METHODS: A cross-sectional study was performed at one routine visit of 213 RA patients, who completed MDHAQ, PROMIS-29, and reference 2011 FM Criteria. PROMIS-29 T-scores were compared in RA vs population norms and in FM+ vs FM- RA patients, based on MDHAQ/FAST4 and reference criteria. Possible associations between PROMIS-29 T-scores and corresponding MDHAQ scores were analyzed using Spearman correlations and multiple regressions. RESULTS: Median PROMIS-29 T-scores indicated clinically and statistically significantly poorer status in 26-29% FM+ vs FM- RA patients, with larger differences than in RA patients vs population norms for 6/7 domains. MDHAQ scores were correlated significantly with each of 7 corresponding PROMIS-29 domains (|rho|≥0.62, p<0.001). Linear regressions explained 55-73% of PROMIS-29 T-score variation by MDHAQ scores and 56%-70% of MDHAQ score variation by PROMIS-29 T-scores. CONCLUSIONS: Scores for 7 PROMIS-29 domains and MDHAQ were highly correlated. The MDHAQ is effective to assess HRQL and offers incremental medical information, including FAST4 screening. The results indicate the importance of assessing comorbidities such as fibromyalgia screening in interpreting PROMIS-29 T-scores.

A multilevel intervention in pediatric primary care for youth tobacco control: Outcomes of implementing an Ask, Advise, and Connect model.

Multilevel interventions in healthcare settings (e.g. Ask, Advise, and Connect; AAC) can reduce tobacco product use among adult patients: their effectiveness in pediatric practice is largely unknown. We implemented an AAC model in pediatric primary care to deter children's tobacco use, and evaluated its effectiveness in a single-arm trial. At wellness visits, young patients (ages 12-17) completed a tablet-based assessment (Ask) of lifetime and current tobacco use. These data were made available within the electronic health record to pediatric primary care providers for preventive counseling (Advise). Providers then referred patients to an e-health evidence-based tobacco control intervention (Connect). Tobacco control outcomes were examined in the clinic population (N = 2219) and in a sample of patients (N = 388, 62% female, 39% non-White, M age = 15) over time, along with intervention engagement. Population use of tobacco products decreased following introduction of AAC (more than 2-fold). At the patient level, most children (80.9%) engaged with the intervention: those who were Black or African American, who never used tobacco products/were not susceptible to use, and who used fewer non-cigarette tobacco products were more likely to engage, but only after multiple prompts versus a single prompt. Engagement was positively associated with lowering children's susceptibility to using tobacco at follow-up. A pediatric AAC model holds promise in deterring youth tobacco use, including among historically marginalized populations who may require additional support.

By implementing a multilevel Ask, Advise, and Connect intervention, pediatric tobacco use declined in a clinical population, with high intervention engagement and improved outcomes.

A Comparison of Statistical Methods to Construct Confidence Intervals and Fiducial Intervals for Measures of Health Disparities.

Health disparities are differences in health status across different socioeconomic groups. Classical methods, e.g., the Delta method, have been used to estimate the standard errors of estimated measures of health disparities and to construct confidence intervals for these measures. However, the confidence intervals constructed using the classical methods do not have good coverage properties for situations involving sparse data. In this article, we introduce three new methods to construct fiducial intervals for measures of health disparities based on approximate fiducial quantities. Through a comprehensive simulation study, We compare the empirical coverage properties of the proposed fiducial intervals against two Monte Carlo simulation-based methods-utilizing either a truncated Normal distribution or the Gamma distribution-as well as the classical method. The findings of the simulation study advocate for the adoption of the Monte Carlo simulation-based method with the Gamma distribution when a unified approach is sought for all health disparity measures.

Multilevel approaches to address disparities in lung cancer screening: a study protocol.

BACKGROUND: Low-dose computed tomography (lung cancer screening) can reduce lung cancer-specific mortality by 20-24%. Based on this evidence, the United States Preventive Services Task Force recommends annual lung cancer screening for asymptomatic high-risk individuals. Despite this recommendation, utilization is low (3-20%). Lung cancer screening may be particularly beneficial for African American patients because they are more likely to have advanced disease, lower survival, and lower screening rates compared to White individuals. Evidence points to multilevel approaches that simultaneously address multiple determinants to increase screening rates and decrease lung cancer burden in minoritized populations. This study will test the effects of provider- and patient-level strategies for promoting equitable lung cancer screening utilization. METHODS: Guided by the Health Disparities Research Framework and the Practical, Robust Implementation and Sustainability Model, we will conduct a quasi-experimental study with four primary care clinics within a large health system (MedStar Health). Individuals eligible for lung cancer screening, defined as 50-80 years old, ≥ 20 pack-years, currently smoking, or quit < 15 years, no history of lung cancer, who have an appointment scheduled with their provider, and who are non-adherent to screening will be identified via the EHR, contacted, and enrolled (N = 184 for implementation clinics, N = 184 for comparison clinics; total N = 368). Provider participants will include those practicing at the partner clinics (N = 26). To increase provider-prompted discussions about lung screening, an electronic health record (EHR) clinician reminder will be sent to providers prior to scheduled visits with the screening-eligible participants. To increase patient-level knowledge and patient activation about screening, an inreach specialist will conduct a pre-visit phone-based educational session with participants. Patient participants will be assessed at baseline and 1-week post-visit to measure provider-patient discussion, screening intentions, and knowledge. Screening referrals and screening completion rates will be assessed via the EHR at 6 months. We will use mixed methods and multilevel assessments of patients and providers to evaluate the implementation outcomes (adoption, feasibility, acceptability, and fidelity). DISCUSSION: The study will inform future work designed to measure the independent and overlapping contributions of the multilevel implementation strategies to advance equity in lung screening rates. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04675476. Registered December 19, 2020.

The tobacco quitline setting as a teachable moment: The Educating Quitline Users About Lung (EQUAL) cancer screening randomized trial.

Although lung cancer screening (LCS) using low-dose CT is recommended for high-risk individuals, screening adherence remains low. We conducted a randomized trial to compare two methods of providing LCS education to Maryland Tobacco Quitline (MTQ) callers in order to assess whether this setting may serve as a teachable moment for LCS-eligible individuals. MTQ callers (50-80 years, 20+ pack-years, prior LCS ≥12 months) completed the baseline and were randomized to the Print- or Web-based version of ShouldIScreen.com. Participants completed 1- and 4-month follow-up assessments to evaluate intervention engagement and LCS-related outcomes. Participants (Print = 152, Web = 146) were 61.7 (SD = 6.3) years old and reported 63.5 pack-years (SD = 36.0). Most identified as Black (54.2%), female (66.1%), having internet access (78.9%), completing other recommended cancer screenings (86.3%), and that they would undergo LCS if recommended by their provider (91.3%). By 4 months, significantly more Print (75.0%) than Web (61.6%) participants had read the materials (P = .01). Most reported the interventions contained "the right amount" of information (92.6%) and prepared them to talk with their doctor (57.2%). Regarding screening-related outcomes, 42.8% (Print) and 43.8% (Web) had scheduled or completed a low-dose CT scan or a shared decision-making visit (P = .86). In a racially diverse sample of LCS-eligible quitline callers, offering LCS educational materials resulted in high intervention engagement and screening-related appointments. As >20% did not have internet access, providing participants' preferred modality (web/print) may improve intervention engagement and knowledge. Improving LCS awareness represents an important opportunity to increase screening among eligible but unscreened quitline callers.

Although annual lung cancer screening (LCS) using low-dose CT is recommended for high-risk individuals, screening adherence remains low. In partnership with the Maryland Tobacco Quitline (MTQ), we compared Print (N = 152) versus Web (N = 146) methods for educating quitline callers about LCS. MTQ callers (50­80 years, 20+ pack-years) completed the baseline and the 1- and 4-month follow-up assessments to evaluate intervention engagement and LCS-related outcomes. Over half of participants identified as Black (54.4%), female (66.2%), and reported having internet access (78.9%), completing other recommended cancer screenings (86%), and would undergo LCS if recommended by their provider (91%). Significantly more Print (75.0%) than Web (61.9%) participants read the materials. Half of participants reported the interventions prepared them to talk with their doctor (57.4%). Regarding screening-related outcomes, 42.8% (Print) and 43.8% (Web) had scheduled or completed a CT scan or a shared decision-making visit. In a racially diverse sample of LCS-eligible quitline callers, offering LCS educational materials resulted in high intervention engagement and screening-related appointments. As >20% did not have internet access, offering the preferred intervention modality may result in improved intervention engagement and knowledge. Effectively improving awareness represents an opportunity to increase screening among LCS-eligible quitline callers.

Tutorial on causal mediation analysis with binary variables: An application to health psychology research.

Mediation analysis has been widely applied to explain why and assess the extent to which an exposure or treatment has an impact on the outcome in health psychology studies. Identifying a mediator or assessing the impact of a mediator has been the focus of many scientific investigations. This tutorial aims to introduce causal mediation analysis with binary exposure, mediator, and outcome variables, with a focus on the resampling and weighting methods, under the potential outcomes framework for estimating natural direct and indirect effects. We emphasize the importance of the temporal order of the study variables and the elimination of confounding. We define the causal effects in a hypothesized causal mediation chain in the context of one exposure, one mediator, and one outcome variable, all of which are binary variables. Two commonly used and actively maintained R packages, mediation and medflex, were used to analyze a motivating example. R code examples for implementing these methods are provided. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Patterns of Screening Mammography and Breast MRI During the COVID-19 Pandemic: A Retrospective, Chart-Review Study.

Objective: This study examined patterns of breast cancer screening during the COVID-19 pandemic. Methods: This retrospective study was approved by the Georgetown University IRB. Review of electronic medical records identified screening mammograms and breast MRIs between March 13, 2018 and December 31, 2020, for female patients aged 18 to 85 years. Descriptive statistics characterized patterns of breast cancer screening before and during the COVID-19 pandemic. Logistic regression analyses examined whether receipt of breast MRI differed over time and demographic and clinical factors associated with receipt of breast MRI in 2020. Results: Data included 47 956 mammography visits in 32 778 patients and 407 screening breast MRI visits in 340 patients. After an initial decrease following the declaration of the COVID-19 pandemic, both screening mammograms and screening breast MRI demonstrated early recovery. Although the mammography receipt remained sustained, the receipt of screening breast MRI decreased in late 2020. Odds of having a breast MRI did not differ between 2018 and 2019 (OR = 1.07; 95% CI = 0.92%-1.25%; P = 0.384) but were significantly lower in 2020 versus 2019 (OR = 0.76; 95% CI = 0.61%-0.94%; P = 0.011). No demographic or clinical factors were associated with receipt of breast MRI during the COVID-19 pandemic (all P-values ≥0.225). Conclusion: Breast cancer screening decreased following the declaration of the COVID-19 pandemic. Although both procedures demonstrated early recovery, the rebound in screening breast MRI was not sustained. Interventions promoting return to screening breast MRI may be needed for high-risk women.

Results of a randomized controlled trial of a decision support intervention for disclosing maternal BRCA genetic test results to children and adolescents.

Objective: Evaluate the impact of a targeted family communication intervention for mothers undergoing genetic counseling and testing (GCT) for BRCA gene alterations. Methods: Following BRCA GCT, mothers (N = 204; M age = 45 y) were randomized to either a control condition (self-help print materials) or intervention (printed decision support guide, based on behavioral decision making theory in health care) for supporting choices about disclosing maternal genetic test results to children and adolescents. Behavioral assessments were administered prior to maternal GCT and after receipt of results: primary outcomes were maternal disclosure to children and parent-child communication quality. Results: Mothers in the intervention were > 2x likely to disclose their BRCA test results to their children compared to those in the control condition (odds ratio [OR] = 2.33, 95% confidence interval [CI] = 1.06, 5.10; p = .04). This effect was moderated by children's ages: mothers of preteens (<13 y) assigned to the intervention were >3x likely to disclose their results (OR = 3.74, 95% CI = 1.49, 9.41; p = .005). In adjusted models, intervention was also associated with favorable changes in the quality of parent-child communication (95% CI = 0.30, 9.00; p < .05). Conclusion: Decision support improves parent-child communication outcomes about GCT for hereditary breast-ovarian cancer. Innovation: This trial is among the first to empirically evaluate the outcomes of a behavioral intervention to support family communication of maternal BRCA risk information to children.

Inequalities in Violent Death across Income Levels among Young Males and Females in Countries of the Americas.

BACKGROUND: Violent deaths (i.e., those due to road traffic injury, homicide, and suicide) are among the most important causes of premature and preventable mortality in young people. This study aimed at exploring inequalities in violent death across income levels between males and females aged 10 to 24 years from the Americas in 2015, the SDG baseline year. METHODS: In a cross-sectional ecological study design, eleven standard summary measures of health inequality were calculated separately for males and females and for each cause of violent death, using age-adjusted mortality rates and average income per capita for 17 countries, which accounted for 87.9% of the target population. RESULTS: Premature mortality due to road traffic injury and homicide showed a pro-poor inequality pattern, whereas premature mortality due to suicide showed a pro-rich inequality pattern. These inequalities were statistically significant (p < 0.001), particularly concentrated among young males, and dominated by homicide. The ample array of summary measures of health inequality tended to generate convergent results. CONCLUSIONS: Significant inequalities in violent death among young people seems to be in place across countries of the Americas, and they seem to be socially determined by both income and gender. These findings shed light on the epidemiology of violent death in young people and can inform priorities for regional public health action. However, further investigation is needed to confirm inequality patterns and to explore underlying mechanisms, age- and sex-specific vulnerabilities, and gender-based drivers of such inequalities.

Prerequisite for Imputing Non-detects among Airborne Samples in OSHA's IMIS Databank: Prediction of Sample's Volume.

INTRODUCTION: The US Integrated Management Information System (IMIS) contains workplace measurements collected by Occupational Safety and Health Administration (OSHA) inspectors. Its use for research is limited by the lack of record of a value for the limit of detection (LOD) associated with non-detected measurements, which should be used to set censoring point in statistical analysis. We aimed to remedy this by developing a predictive model of the volume of air sampled (V) for the non-detected results of airborne measurements, to then estimate the LOD using the instrument detection limit (IDL), as IDL/V. METHODS: We obtained the Chemical Exposure Health Data from OSHA's central laboratory in Salt Lake City that partially overlaps IMIS and contains information on V. We used classification and regression trees (CART) to develop a predictive model of V for all measurements where the two datasets overlapped. The analysis was restricted to 69 chemical agents with at least 100 non-detected measurements, and calculated sampling air flow rates consistent with workplace measurement practices; undefined types of inspections were excluded, leaving 412,201/413,515 records. CART models were fitted on randomly selected 70% of the data using 10-fold cross-validation and validated on the remaining data. A separate CART model was fitted to styrene data. RESULTS: Sampled air volume had a right-skewed distribution with a mean of 357 l, a median (M) of 318, and ranged from 0.040 to 1868 l. There were 173,131 measurements described as non-detects (42% of the data). For the non-detects, the V tended to be greater (M = 378 l) than measurements characterized as either 'short-term' (M = 218 l) or 'long-term' (M = 297 l). The CART models were complex and not easy to interpret, but substance, industry, and year were among the top three most important classifiers. They predicted V well overall (Pearson correlation (r) = 0.73, P < 0.0001; Lin's concordance correlation (rc) = 0.69) and among records captured as non-detects in IMIS (r = 0.66, P < 0.0001l; rc = 0.60). For styrene, CART built on measurements for all agents predicted V among 569 non-detects poorly (r = 0.15; rc = 0.04), but styrene-specific CART predicted it well (r = 0.87, P < 0.0001; rc = 0.86). DISCUSSION: Among the limitations of our work is the fact that samples may have been collected on different workers and processes within each inspection, each with its own V. Furthermore, we lack measurement-level predictors because classifiers were captured at the inspection level. We did not study all substances that may be of interest and did not use the information that substances measured on the same sampling media should have the same V. We must note that CART models tend to over-fit data and their predictions depend on the selected data, as illustrated by contrasting predictions created using all data vs. limited to styrene. CONCLUSIONS: We developed predictive models of sampled air volume that should enable the calculation of LOD for non-detects in IMIS. Our predictions may guide future work on handling non-detects in IMIS, although it is advisable to develop separate predictive models for each substance, industry, and year of interest, while also considering other factors, such as whether the measurement evaluated long-term or short-term exposure.

A Novel Methodological Approach to Measure Linear Trends in Health Inequalities: Proof of Concept With Adolescent Smoking in Europe.

We describe a new method for presenting and interpreting linear trends in health inequalities, and present a proof-of-concept analysis of inequalities in smoking among adolescents in Europe. We estimated the regression line of the assumed linear relationship between smoking prevalence in low- and high-socioeconomic status (SES) youth over time. Using simulation, we constructed a 95% confidence interval (CI) for the smoking prevalence in low-SES youth for when this would be 0% in high-SES youth, and we calculated the likelihood of eradicating smoking inequality (<5% for both low and high SES). This method was applied to data on adolescents aged 15-16 years (n = 250,326) from 23 European countries, derived from the 2003-2015 European Survey Project on Alcohol and Other Drugs. Smoking prevalence decreased more slowly among low- than among high-SES adolescents. The estimated smoking prevalence was 9.4% (95% CI: 6.1, 12.7) for boys and 5.4% (95% CI: 1.4, 9.2) for girls with low SES when 0% with high SES. The likelihood of eradicating smoking inequality was <1% for boys and 37% for girls. We conclude that this novel methodological approach to trends in health inequalities is feasible in practice. Applying it to trends in smoking inequalities among adolescents in Europe, we found that Europe is currently not on track to eradicate youth smoking across SES groups.

Development and Evaluation of Brief Web-Based Education for Primary Care Providers to Address Inequities in Lung Cancer Screening and Smoking Cessation Treatment.

Annual lung cancer screening (LCS) is recommended for individuals at high risk for lung cancer. However, primary care provider-initiated discussions about LCS and referrals for screening are low overall, particularly among Black or African Americans and other minoritized racial and ethnic groups. Disparities also exist in receiving provider advice to quit smoking. Effective methods are needed to improve provider knowledge about LCS and tobacco-related disparities, and to provide resources to achieve equity in LCS rates. We report the feasibility and impact of pairing a self-directed Lung Cancer Health Disparities (HD) Web-based course with the National Training Network Lung Cancer Screening (LuCa) course on primary care providers' knowledge about LCS and the health disparities associated with LCS. In a quasi-experimental study, primary care providers (N = 91) recruited from the MedStar Health System were assigned to complete the LuCa course only vs. the LuCa + HD courses. We measured pre-post-LCS-related knowledge and opinions about the courses. The majority (60.4%) of providers were resident physicians. There was no significant difference between groups on post-test knowledge (p > 0.05). However, within groups, there was an improvement in knowledge from pre- to post-test (LuCa only (p = 0.03); LuCa + HD (p < 0.001)). The majority of providers (81%) indicated they planned to improve their screening and preventive practices after having reviewed the educational modules. These findings provide preliminary evidence that this e-learning course can be used to educate providers on LCS, smoking cessation, and related disparities impacting patients.

Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial.

The purpose of this study is to evaluate the direct and indirect effects of a web-based, Protection Motivation Theory (PMT)-informed breast cancer education and decision support tool on intentions for risk-reducing medication and breast MRI among high-risk women. Women with ≥ 1.67% 5-year breast cancer risk (N = 995) were randomized to (1) control or (2) the PMT-informed intervention. Six weeks post-intervention, 924 (93% retention) self-reported PMT constructs and behavioral intentions. Bootstrapped mediations evaluated the direct effect of the intervention on behavioral intentions and the mediating role of PMT constructs. There was no direct intervention effect on intentions for risk-reducing medication or MRI (p's ≥ 0.12). There were significant indirect effects on risk-reducing medication intentions via perceived risk, self-efficacy, and response efficacy, and on MRI intentions via perceived risk and response efficacy (p's ≤ 0.04). The PMT-informed intervention effected behavioral intentions via perceived breast cancer risk, self-efficacy, and response efficacy. Future research should extend these findings from intentions to behavior. ClinicalTrials.gov Identifier: NCT03029286 (date of registration: January 24, 2017).

Patient global assessment is elevated by up to 5 of 10 units in patients with inflammatory arthritis who screen positive for fibromyalgia (by FAST4) and/or depression (by MDS2) on a single MDHAQ.

BACKGROUND: Patient global assessment (PATGL) is a component of rheumatoid arthritis (RA) and spondyloarthritis (SpA) activity indices, reflecting inflammation in selected clinical trial patients. In routine care, PATGL often may be elevated independently of inflammatory activity by fibromyalgia (FM) and/or depression, leading to complexities in interpretation. A feasible method to screen for FM and/or depression could help to clarify interpretation of high PATGL and index scores, including explanation of apparent limited responses to anti-inflammatory therapies. PATIENTS AND METHODS: Patients with RA or SpA in routine care in Barcelona, Chicago, and Sydney complete a 2-page multidimensional health assessment questionnaire (MDHAQ) in 5-10 min. The MDHAQ includes PATGL and three indices, RAPID3 (routine assessment of patient index data) to assess clinical status, FAST4 (0-4 fibromyalgia assessment screening tool) and MDS2 (0-2 MDHAQ depression screen). PATGL was compared for each diagnosis at each site and pooled data in FAST4 positive (+) vs negative (-) and/or MDS2+ vs MDS2- patients using medians and median regressions. RESULTS: Median PATGL was 5.0 in 393 RA and 175 SpA patients; 2.0-3.0 in 305 (58.9%) FAST4-,MDS2- patients, 5.5-6.0 in 71 (13.7%) FAST4-,MDS2+ patients, 7.0-7.5 in 50 (9.7%) FAST4+,MDS2- patients, and 7.0-8.0 in 92 (17.8%) FAST4+,MDS2+ patients. Positive FAST4 and/or MDS2 screens were seen in 41% of patients. Results were similar in RA and SpA at 3 settings on 3 continents. CONCLUSION: Median 0-10 PATGL varied from 2-3/10 to 5.5-8/10, according to negative vs positive screening for FM and/or depression on a single MDHAQ for busy clinical settings.

Long-Term Adaptation Among Adolescent and Young Adult Children to Familial Cancer Risk.

BACKGROUND: It is important to examine adolescent and young adult (AYA) children's long-term psychosocial and behavioral adaptation to disclosure of maternal BRCA-positive carrier status (BRCA+) to inform approaches for familial cancer risk communication, education, and counseling. METHODS: Mothers underwent BRCA genetic testing 1 to 5 years earlier. Group differences in AYAs' self-reported outcomes were analyzed by maternal health and carrier status, and child age and sex. RESULTS: A total of N = 272 AYAs were enrolled: 76.1% of their mothers were breast or ovarian cancer survivors and 17.3% were BRCA+. AYAs' cancer risk behavior (tobacco and alcohol use, physical activity) and psychologic distress levels did not vary by maternal status. In bivariate analyses, AYAs of cancer-surviving mothers believed themselves to be at greater risk for, and were more knowledgeable about, cancer than AYAs of mothers without cancer. AYAs of BRCA+ mothers were more concerned about cancer, held stronger beliefs about genetic risk, and placed a higher value on learning about genetics. In adjusted models, maternal cancer history (not BRCA+) remained associated with AYAs' greater perceptions of cancer risk (P = .002), and knowledge about cancer (P = .03) and its causes (P = .002). CONCLUSIONS: Disclosing maternal BRCA+ status did not influence children's lifestyle behavior or adversely affect quality of life long term. AYAs of BRCA+ mothers were more aware of and interested in genetic risk information. Such families may benefit from support to promote open communication about genetic testing choices.

A Randomized Trial of Telephone-Based Smoking Cessation Treatment in the Lung Cancer Screening Setting.

BACKGROUND: Lung cancer mortality is reduced via low-dose computed tomography screening and treatment of early-stage disease. Evidence-based smoking cessation treatment in the lung screening setting can further reduce mortality. We report the results of a cessation trial from the National Cancer Institute's Smoking Cessation at Lung Examination collaboration. METHODS: Eligible patients (n = 818) aged 50-80 years were randomly assigned (May 2017-January 2021) to the intensive vs minimal arms (8 vs 3 phone sessions plus 8 vs 2 weeks of nicotine patches, respectively). Bio-verified (primary) and self-reported 7-day abstinence rates were assessed at 3, 6, and 12 months post random assignment. Logistic regression analyses evaluated the effects of study arm. All statistical tests were 2-sided. RESULTS: Participants reported 48.0 (SD = 17.2) pack-years, and 51.6% were not ready to quit in less than 30 days. Self-reported 3-month quit rates were statistically significantly higher in the intensive vs minimal arm (14.3% vs 7.9%; odds ratio [OR] = 2.00, 95% confidence interval [CI] = 1.26 to 3.18). Bio-verified abstinence was lower but with similar relative differences between arms (9.1% vs 3.9%; OR = 2.70, 95% CI = 1.44 to 5.08). Compared with the minimal arm, the intensive arm was more effective among those with greater nicotine dependence (OR = 3.47, 95% CI = 1.55 to 7.76), normal screening results (OR = 2.58, 95% CI = 1.32 to 5.03), high engagement in counseling (OR = 3.03, 95% CI = 1.50 to 6.14), and patch use (OR = 2.81, 95% CI = 1.39 to 5.68). Abstinence rates did not differ statistically significantly between arms at 6 months (OR = 1.2, 95% CI = 0.68 to 2.11) or 12 months (OR = 1.4, 95% CI = 0.82 to 2.42). CONCLUSIONS: Delivering intensive telephone counseling and nicotine replacement with lung screening is an effective strategy to increase short-term smoking cessation. Methods to maintain short-term effects are needed. Even with modest quit rates, integrating cessation treatment into lung screening programs may have a large impact on tobacco-related mortality.