Development and Evaluation of Messages for Reducing Overscreening of Breast Cancer in Older Women.

BACKGROUND: Many older women are screened for breast cancer beyond guideline-recommended thresholds. One contributor is pro-screening messaging from health care professionals, media, and family/friends. In this project, we developed and evaluated messages for reducing overscreening in older women. METHODS: We surveyed women ages 65+ who were members of a nationally representative online panel. We constructed 8 messages describing reasons to consider stopping mammograms, including guideline recommendations, false positives, overdiagnosis, and diminishing benefits from screening due to competing risks. Messages varied in their format; some presented statistical evidence, and some described short anecdotes. Each participant was randomized to read 4 of 8 messages. We also randomized participants to one of 3 message sources (clinician, family member, and news story). We assessed whether the message would make participants "want to find out more information" and "think carefully" about mammograms. RESULTS: Participants (N=790) had a mean age of 73.5 years; 25.8% were non-White. Across all messages, 73.0% of the time, participants agreed that the messages would make them seek more information (range among different messages=64.2%-78.2%); 46.5% of the time participants agreed that the messages would make them think carefully about getting mammograms (range =36.7%-50.7%). Top-rated messages mentioned false-positive anecdotes and overdiagnosis evidence. Ratings were similar for messages from clinicians and news sources, but lower from the family member source. CONCLUSIONS: Overall, participants positively evaluated messages designed to reduce breast cancer overscreening regarding perceived effects on information seeking and deliberation. Combining the top-rated messages into messaging interventions may be a novel approach to reduce overscreening.

Social networks of people with serious mental illness who smoke: potential role in a smoking cessation intervention.

BACKGROUND: Smoking is a major contributor to morbidity and mortality among individuals with serious mental illness (SMI) and social networks may play an important role in smoking behaviors. AIMS: Our objectives were to (1) describe the network characteristics of adults with SMI who smoke tobacco (2) explore whether network attributes were associated with nicotine dependence. METHODS: We performed a secondary analysis of baseline data from a tobacco smoking cessation intervention trial among 192 participants with SMI. A subgroup (n = 75) completed questions on the characteristics of their social network members. The network characteristics included network composition (e.g. proportion who smoke) and network structure (e.g. density of connections between members). We used multilevel models to examine associations with nicotine dependence. RESULTS: Participant characteristics included: a mean age 50 years, 49% women, 48% Black, and 41% primary diagnosis of schizophrenia/schizoaffective disorder. The median personal network proportion of active smokers was 22%, active quitters 0%, and non-smokers 53%. The density of ties between actively smoking network members was greater than between non-smoking members (55% vs 43%, p = .02). Proportion of network smokers was not associated with nicotine dependence. CONCLUSIONS: We identified potential social network challenges and assets to smoking cessation and implications for network interventions among individuals with SMI.

Physician Decision-Making About Surveillance in Older Adults With Prior Adenomas: Results From a National Survey.

INTRODUCTION: There is no clear guidance on when surveillance colonoscopies should stop in older adults with prior adenomas. We aimed to examine physicians' decision-making regarding surveillance colonoscopies in older adults. METHODS: In a national mailed survey of 1,800 primary care physicians (PCP) and 600 gastroenterologists, we asked whether physicians would recommend surveillance colonoscopy in vignettes where we varied patient age (75 and 85 years), health (good, medium, and poor), and prior adenoma risk (low and high). We examined the association between surveillance recommendations and patient and physician characteristics using logistic regression. We also assessed decisional uncertainty, need for decision support, and decision-making roles. RESULTS: Of 1,040 respondents (response rate 54.8%), 874 were eligible and included. Recommendation for surveillance colonoscopies was lower if patient was older (adjusted proportions 20.6% vs 49.8% if younger), in poor health (adjusted proportions 7.1% vs 28.8% moderate health, 67.7% good health), and prior adenoma was of low risk (adjusted proportions 29.7% vs 41.6% if high risk). Family medicine physicians were most likely and gastroenterologists were least likely to recommend surveillance (adjusted proportions 40.0% vs 30.9%). Approximately 52.3% of PCP and 35.4% of gastroenterologists reported uncertainty regarding the benefit/harm balance of surveillance in older adults. Most (85.9% PCP and 77.0% gastroenterologists) would find a decision support tool helpful. Approximately 32.8% of PCP vs 71.5% of gastroenterologists perceived it as the gastroenterologist's role to decide about surveillance colonoscopies. DISCUSSION: Studies to better evaluate the benefits/harms of surveillance colonoscopy in older adults and decisional support tools that help physicians and patients incorporate such data are needed.

Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages.

BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older. MEASURES: The "Patient Need Groups" (PNGs) framework, we developed, classifies each person within the entire 0-100+ aged population into one of 11 mutually exclusive need-based categories. For each PNG segment, we documented a range of clinical and resource endpoints, including health care resource use, avoidable emergency department visits, hospitalizations, behavioral health conditions, and social need factors. RESULTS: The PNG categories included: (1) nonuser, (2) low-need child, (3) low-need adult, (4) low-complexity multimorbidity, (5) medium-complexity multimorbidity, (6) low-complexity pregnancy, (7) high-complexity pregnancy, (8) dominant psychiatric/behavioral condition, (9) dominant major chronic condition, (10) high-complexity multimorbidity, and (11) frailty. Each PNG evidenced a characteristic age-related trajectory across the full lifespan. In addition to offering clinically cogent groupings, large percentages (29%-62%) of patients in two pregnancy and high-complexity multimorbidity and frailty PNGs were in a high-risk subgroup (upper 10%) of potential future health care utilization. CONCLUSIONS: The PNG population segmentation approach represents a comprehensive measurement framework that captures and categorizes available electronic health care data to characterize individuals of all ages based on their needs.

Weighing cessation: Rising adiposity of current smokers in NHANES.

BACKGROUND: Rising rates of obesity may have interacting effects with smoking given associated cardiovascular risks and cessation-associated weight gain. This study aimed to assess the change in body mass index (BMI) magnitude and prevalence of obesity and central adiposity over time among current smokers and to compare with that of former and never smokers to describe how the obesity and tobacco epidemics interrelate. METHODS: Using data from the National Health and Nutrition Examination Survey (NHANES) 1976-2018, survey-weighted, internally standardized analyses were used to look at outcomes of BMI, BMI category, and central adiposity by smoking status. A nonparametric test assessed trend over time. RESULTS: The standardized proportion of current smokers with obesity increased from 11.6% in NHANES II to 36.3% in continuous NHANES 2017-2018; at the latest assessment this proportion was significantly lower than for former smokers. Mean BMI among current smokers also increased, from 24.7 kg/m2 to 28.5 kg/m2 among current smokers, which is significantly lower than among former smokers and never smokers at the latest time point. The standardized proportion of current smokers with central adiposity also increased, from 34.3% to 54.1%; again, at the latest time point the proportion was lower than for former smokers or never smokers. CONCLUSION: Between 1976 and 2018, smoking rates decreased while adiposity increased among current, former, and never smokers. Over a third of current smokers meet BMI criteria for obesity and over half have an elevated waist circumference. It is imperative that weight management strategies be incorporated into smoking cessation approaches.

TrueNTH Sexual Recovery Intervention for couples coping with prostate cancer: Randomized controlled trial results.

BACKGROUND: Despite significant sexual dysfunction and distress after localized prostate cancer treatment, patients typically receive only physiologic erectile dysfunction management. The authors performed a randomized controlled trial of an online intervention supporting couples' posttreatment recovery of sexual intimacy. METHODS: Patients treated with surgery, radiation, or combined radiation and androgen deprivation therapy who had partners were recruited and randomized to an online intervention or a control group. The intervention, tailored to treatment type and sexual orientation, comprised 6 modules addressing expectations for sexual and emotional sequelae of treatment, rehabilitation, and guidance toward sexual intimacy recovery. Couples, recruited from 6 sites nationally, completed validated measures at the baseline and 3 and 6 months after treatment. Primary outcome group differences were assessed with t tests for individual outcomes. RESULTS: Among 142 randomized couples, 105 patients (mostly surgery) and 87 partners completed the 6-month survey; this reflected challenges with recruitment and attrition. There were no differences between the intervention and control arms in Patient-Reported Outcomes Measurement Information System Global Satisfaction With Sex Life scores 6 months after treatment (the primary outcome). Three months after treatment, intervention patients and partners reported more engagement in penetrative and nonpenetrative sexual activities than controls. More than 73% of the intervention participants reported high or moderate satisfaction with module content; more than 85% would recommend the intervention to other couples. CONCLUSIONS: Online psychosexual support for couples can help couples to connect and experience sexual pleasure early after treatment despite patients' sexual dysfunction. Participants' high endorsement of the intervention reflects the importance of sexual health support to couples after prostate cancer treatment. LAY SUMMARY: This study tested a web-based program supporting couples' sexual recovery of sexual intimacy after prostate cancer treatment. One hundred forty-two couples were recruited and randomly assigned to the program (n = 60) or to a control group (n = 82). The program did not result in improvements in participants' satisfaction with their sex life 6 months after treatment, but couples in the intervention group engaged in sexual activity sooner after treatment than couples in the control group. Couples evaluated the program positively and would recommend it to others facing prostate cancer treatment.

Discontinuing Cancer Screening for Older Adults: a Comparison of Clinician Decision-Making for Breast, Colorectal, and Prostate Cancer Screenings.

BACKGROUND: While guidelines recommend against routine screening for breast, prostate, and colorectal cancers in older adults (65+ years) with <10-year life expectancy, many of these patients continue to be screened. How clinicians consider screening cessation across multiple cancer screening types is unknown. OBJECTIVE: To compare and contrast clinicians' perspectives on discontinuing breast, prostate, and colorectal cancer screenings in older adults. DESIGN: Qualitative, semi-structured interviews. PARTICIPANTS: Primary care clinicians in Maryland (N=30) APPROACH: We conducted semi-structured interviews with individual clinicians. Interviews were recorded, transcribed, and analyzed using standard techniques of qualitative content analysis to identify major themes. KEY RESULTS: Participants were mostly physicians (24/30) and women (16/30). Four major themes highlighted differences in decision-making across cancer screenings: (1) Clinicians reported more often screening beyond guideline-recommended ages for breast and prostate cancers than colorectal cancer; (2) clinicians had different priorities when considering the benefits/harms of each screening; for example, some prioritized continuing colorectal cancer screening due to the test's high efficacy while others prioritized stopping colorectal cancer screening due to high procedural risk; some prioritized continuing prostate cancer screening due to poor outcomes from advanced prostate cancer while others prioritized stopping prostate cancer screening due to high false positive test rates and harms from downstream tests; (3) clinicians discussed harms of prostate and colorectal cancer screening more readily than for breast cancer screening; (4) clinicians perceived more involvement with gastroenterologists in colonoscopy decisions and less involvement from specialists for prostate and breast cancer screening. CONCLUSIONS: Our results highlight the need for more explicit guidance on how to weigh competing considerations in cancer screening (such as test accuracy versus ease of cancer treatment after detection). Recognizing the complexity of the benefit/harms analysis as clinicians consider multiple cancer screenings, future decision support tools, and clinician education materials can specifically address the competing considerations.

Guidelines for Sexual Health Care for Prostate Cancer Patients: Recommendations of an International Panel.

BACKGROUND: Patients with prostate cancer suffer significant sexual dysfunction after treatment which negatively affects them and their partners psychologically, and strain their relationships. AIM: We convened an international panel with the aim of developing guidelines that will inform clinicians, patients and partners about the impact of prostate cancer therapies (PCT) on patients' and partners' sexual health, their relationships, and about biopsychosocial rehabilitation in prostate cancer (PC) survivorship. METHODS: The guidelines panel included international expert researchers and clinicians, and a guideline methodologist. A systematic review of the literature, using the Ovid MEDLINE, Scopus, CINAHL, PsychINFO, LGBT Life, and Embase databases was conducted (1995-2022) according to the Cochrane Handbook for Systematic Reviews of Interventions. Study selection was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Each statement was assigned an evidence strength (A-C) and a recommendation level (strong, moderate, conditional) based on benefit/risk assessment, according to the nomenclature of the American Urological Association (AUA). Data synthesis included meta-analyses of studies deemed of sufficient quality (3), using A Measurement Tool to Assess Systematic Reviews (AMSTAR). OUTCOMES: Guidelines for sexual health care for patients with prostate cancer were developed, based on available evidence and the expertise of the international panel. RESULTS: The guidelines account for patients' cultural, ethnic, and racial diversity. They attend to the unique needs of individuals with diverse sexual orientations and gender identities. The guidelines are based on literature review, a theoretical model of sexual recovery after PCT, and 6 principles that promote clinician-initiated discussion of realistic expectations of sexual outcomes and mitigation of sexual side-effects through biopsychosocial rehabilitation. Forty-seven statements address the psychosexual, relationship, and functional domains in addition to statements on lifestyle modification, assessment, provider education, and systemic challenges to providing sexual health care in PC survivorship. CLINICAL IMPLICATIONS: The guidelines provide clinicians with a comprehensive approach to sexual health care for patients with prostate cancer. STRENGTHS & LIMITATIONS: The strength of the study is the comprehensive evaluation of existing evidence on sexual dysfunction and rehabilitation in prostate cancer that can, along with available expert knowledge, best undergird clinical practice. Limitation is the variation in the evidence supporting interventions and the lack of research on issues facing patients with prostate cancer in low and middle-income countries. CONCLUSION: The guidelines document the distressing sexual sequelae of PCT, provide evidence-based recommendations for sexual rehabilitation and outline areas for future research. Wittmann D, Mehta A, McCaughan E, et al. Guidelines for Sexual Health Care for Prostate Cancer Patients: Recommendations of an International Panel. J Sex Med 2022;19:1655-1669.

Using an Agent-based Model to Examine Deimplementation of Breast Cancer Screening.

OBJECTIVE: The objective of this study was to examine the potential impact of provider social networks and experiences with patients on deimplementation of breast cancer screening. RESEARCH DESIGN: We constructed the Breast Cancer-Social network Agent-based Model (BC-SAM), which depicts breast cancer screening decisions, incidence, and progression among 10,000 women ages 40 and over and the screening recommendations of their providers over a 30-year period. The model has patient and provider modules that each incorporate social network influences. Patients and providers were connected in a network, which represented patient-patient peer connections, provider-provider peer connections, connections between providers and patients they treat, and friend/family relationships between patients and providers. We calibrated provider decisions in the model using data from the CanSNET national survey of primary care physicians in the United States, which we fielded in 2016. RESULTS: First, assuming that providers' screening recommendations for women ages 50-74 remain unchanged but their recommendations for screening among younger (below 50 y old) and older (75+ y old) women decrease, we observed a decline in predicted screening rates for women ages 50-74 due to spillover effects. Second, screening rates for younger and older women were slow to respond to changes in provider recommendations; a 78% decline in provider recommendations to older women over 30 years resulted in an estimated 23% decline in patient screening in that group. Third, providers' experiences with unscreened patients, friends, and family members modestly increased screening recommendations over time (7 percentage points). Finally, we found that provider peer effects can have a substantial impact on population screening rates and can entrench existing practices. CONCLUSION: Modeling cancer screening as a complex social system demonstrates a range of potential effects and may help target future interventions designed to reduce overscreening.

Cancer Screening Among Adults With and Without Serious Mental Illness: A Mixed Methods Study.

BACKGROUND: Persons with serious mental illness (SMI) die 10-20 years earlier than the general population; cancer is the second leading cause of death. Differences in cancer screening between SMI and the general population are not well understood. OBJECTIVES: To describe receipt of cancer screening among individuals with versus without SMI and to explore clinicians' perceptions around cancer screening for people with SMI. METHODS: Mixed-methods study using 2010-2017 MarketScan commercial insurance administrative claims data and semi-structured clinician interviews. In the quantitative analyses, we used multivariate logistic regression analyses to calculate the likelihood of receiving cervical, breast, colorectal, or prostate cancer screening among people with versus without SMI, defined as schizophrenia or bipolar disorder. We conducted semi-structured interviews with 17 primary care physicians and 15 psychiatrists. Interview transcripts were coded using a hybrid deductive/inductive approach. RESULTS: Relative to those without SMI, individuals with SMI were less likely to receive screening for cervical cancer [adjusted odds ratio (aOR): 0.80; 95% confidence interval (CI): 0.80-0.81], breast cancer (aOR: 0.79; 95% CI: 0.78-0.80), colorectal cancer (aOR: 0.90; 95% CI: 0.89-0.91), and prostate cancer (aOR: 0.85; 95% CI: 0.84-0.87). Clinicians identified 5 themes that may help explain the lower rates of cancer screening in persons with SMI: access to care, available support, prioritization of other issues, communication, and patient concerns. CONCLUSIONS: People with SMI were less likely to receive 4 common types of cancer screening. Improving cancer screening rates in the SMI population will likely require a multidisciplinary approach to overcome barriers to screening.

Shared-patient physician networks and their impact on the uptake of genomic testing in breast cancer.

BACKGROUND: Factors influencing the adoption of genomic testing are poorly understood, which may lead to inequitable and suboptimal treatment in cancer patients. Oncotype DX (ODX) is one of the first and most widely used genomic assays to stratify risk in women with early-stage breast cancer (BC). Physician networks have emerged as a significant and modifiable driver of emerging medical technology adoption. OBJECTIVE: To investigate the association between physician network connections and the use of ODX testing. METHODS: A retrospective study of women diagnosed with BC using SEER-Medicare from 2008 to 2012 was used. Medical oncologists were "connected" if they shared two or more patients during the early-adoption period (2008-2009). Parallel physician- and patient-level analyses employed logistic mixed models to determine the impact of being "connected" to an early-adopting oncologist on ODX use in 2011-2012. RESULTS: 24,463 women met study criteria; 12,874 were diagnosed with BC in the early-adoption time period. 2129 medical oncologists treated these patients from 2008 to 2009. Medical oncologists had a median number of peer connections of 4 (IQR: 2-7). Peer connection to an early-adopting provider in 2008-2009 was associated with a 1.7-fold increase in providers' adopting ODX (95% CI: 1.1-2.6) and a 1.5-fold increase in their patients receiving ODX (95% CI: 1.1-2.0) in 2010-2012. CONCLUSIONS: Peer connectedness to an early-adopting physician predicts ODX adoption in both physician-level and patient-level analyses. Provider networks may provide a potent and modifiable means to modulate the diffusion of emerging medical technologies. Efforts to increase testing, where appropriate, may benefit from peer-to-peer-based connection strategies.

Association Between Degrees of Separation in Physician Networks and Surgeons' Use of Perioperative Breast Magnetic Resonance Imaging.

BACKGROUND: Perioperative magnetic resonance imaging (MRI) is frequently used in breast cancer despite unproven benefits. It is unclear whether surgeons' use of breast MRI is associated with the practices of other surgeons to whom they are connected through shared patients. METHODS: We conducted a retrospective study using Medicare data to identify physicians providing breast cancer care during 2007-2009 and grouped them into patient-sharing networks. Physician pairs were classified according to their "degree of separation" based on patient-sharing (eg, physician pairs that care for the same patients were separated by 1 degree; pairs that both share patients with another physician but not with each other were separated by 2 degrees). We assessed the association between the MRI use of a surgeon and the practice patterns of surgical colleagues by comparing MRI use in the observed networks with networks with randomly shuffled rates of MRI utilization. RESULTS: Of the 15,273 patients who underwent surgery during the study period, 28.8% received perioperative MRI. These patients received care from 1806 surgeons in 60 patient-sharing networks; 55.1% of surgeons used MRI. A surgeon was 24.5% more likely to use MRI if they were directly connected to a surgeon who used MRI. This effect decreased to 16.3% for pairs of surgeons separated by 2 degrees, and 0.8% at the third degree of separation. CONCLUSIONS: Surgeons' use of perioperative breast MRI is associated with the practice of surgeons connected to them through patient-sharing; the strength of this association attenuates as the degree of separation increases.

Examining Generalizability of Older Adults' Preferences for Discussing Cessation of Screening Colonoscopies in Older Adults with Low Health Literacy.

BACKGROUND/OBJECTIVES: Many older adults receive unnecessary screening colonoscopies. We previously conducted a survey using a national online panel to assess older adults' preferences for how clinicians can discuss stopping screening colonoscopies. We sought to assess the generalizability of those results by comparing them to a sample of older adults with low health literacy. DESIGN: Cross-sectional survey. SETTING: Baltimore metropolitan area (low health literacy sample) and a national, probability-based online panel-KnowledgePanel (national sample). PARTICIPANTS: Adults 65+ with low health literacy measured using a single-question screen (low health literacy sample, n = 113) and KnowledgePanel members 65+ who completed survey about colorectal cancer screening (national sample, n = 441). MEASUREMENTS: The same survey was administered to both groups. Using the best-worst scaling method, we assessed relative preferences for 13 different ways to explain stopping screening colonoscopies. We used conditional logistic regression to quantify the relative preference for each explanation, where a higher preference weight indicates stronger preference. We analyzed each sample separately, then compared the two samples using Spearman's correlation coefficient, the likelihood ratio test to assess for overall differences between the two sets of preference weights, and the Wald test to assess differences in preference weights for each individual phrases. RESULTS: The responses from the two samples were highly correlated (Spearman's coefficient 0.92, p < 0.0001). The most preferred phrase to explain stopping screening colonoscopy was "Your other health issues should take priority" in both groups. The three least preferred options were also the same for both groups, with the least preferred being "The doctor does not give an explanation." The explanation that referred to "quality of life" was more preferred by the low health literacy group whereas explanations that mentioned "unlikely to benefit" and "high risk for harms" were more preferred by the national survey group (all p < 0.001). CONCLUSION: Among two different populations of older adults with different health literacy levels, the preferred strategies for clinicians to discuss stopping screening colonoscopies were highly correlated. Our results can inform effective communication about stopping screening colonoscopies in older adults across different health literacy levels.

Physician peer group characteristics and timeliness of breast cancer surgery.

PURPOSE: Little is known about how the structure of interdisciplinary groups of physicians affects the timeliness of breast cancer surgery their patients receive. We used social network methods to examine variation in surgical delay across physician peer groups and the association of this delay with group characteristics. METHODS: We used linked Surveillance, Epidemiology, and End Results-Medicare data to construct physician peer groups based on shared breast cancer patients. We used hierarchical generalized linear models to examine the association of three group characteristics, patient racial composition, provider density (the ratio of potential vs. actual connections between physicians), and provider transitivity (clustering of providers within groups), with delayed surgery. RESULTS: The study sample included 8338 women with breast cancer in 157 physician peer groups. Surgical delay varied widely across physician peer groups (interquartile range 28.2-50.0%). For every 10% increase in the percentage of black patients in a peer group, there was a 41% increase in the odds of delayed surgery for women in that peer group regardless of a patient's own race [odds ratio (OR) 1.41, 95% confidence interval (CI) 1.15-1.73]. Women in physician peer groups with the highest provider density were less likely to receive delayed surgery than those in physician peer groups with the lowest provider density (OR 0.65, 95% CI 0.44-0.98). We did not find an association between provider transitivity and delayed surgery. CONCLUSIONS: The likelihood of surgical delay varied substantially across physician peer groups and was associated with provider density and patient racial composition.

Linking physician attitudes to their breast cancer screening practices: A survey of US primary care providers and gynecologists.

Despite changes to breast cancer screening guidelines intended to decrease screening in younger and older women, mammography rates remain high. We investigated physician attitudes towards screening younger and older women. Surveys were mailed to US primary care providers and gynecologists between May and September 2016 (871/1665, 52.3% adjusted response rate). We assessed physician (1) attitudes towards screening younger (45-49years) and older (75+ years) women and (2) recommendations for routine mammography. We used exploratory factor analysis to identify underlying themes among physician attitudes and created measures standardized to a 5-point scale. Using multivariable logistic regression models, we examined associations between physician attitudes and screening recommendations. Attitudes identified with factor analysis included: potential regret, expectations, and discordant guidelines (referred to as potential regret), patient-related hazards due to screening, physician limitations and uncertainty, and concerns about rationing care. Gynecologists had higher levels of potential regret compared to internists. In adjusted analyses, physicians with increasing potential regret (1-point increment on 5-point scale) had higher odds of recommending mammography to younger (OR 8.68; 95% CI 5.25-14.36) and older women (OR 4.62; 95% CI 3.50-6.11). Increasing concern for patient-related hazards was associated with decreased odds of recommending screening to older women (OR 0.68; 95% CI 0.56-0.83). Physicians were more motivated by potential regret in recommending screening for younger and older women than by concerns for patient-related hazards in screening. Addressing physicians' most salient concerns, such as fear of missing cancer diagnoses and malpractice, may present an important opportunity to improving delivery of guideline-concordant cancer screening.

Older Adults' Preferences for Discussing Long-Term Life Expectancy: Results From a National Survey.

PURPOSE: Clinical practice guidelines recommend incorporating long-term life expectancy to inform a number of decisions in primary care. We aimed to examine older adults' preferences for discussing life expectancy in a national sample. METHODS: We invited 1,272 older adults (aged 65 or older) from a national, probability-based online panel to participate in 2016. We presented a hypothetical patient with limited life expectancy who was not imminently dying. We asked participants if they were that patient, whether they would like to talk with the doctor about how long they may live, whether it was acceptable for the doctor to offer this discussion, whether they want the doctor to discuss life expectancy with family or friends, and when it should be discussed. RESULTS: The 878 participants (69.0% participation rate) had a mean age of 73.4 years. The majority, 59.4%, did not want to discuss how long they might live in the presented scenario. Within this group, 59.9% also did not think that the doctor should offer the discussion, and 87.7% also did not want the doctor to discuss life expectancy with family or friends. Fully 55.8% wanted to discuss life expectancy only if it were less than 2 years. Factors positively associated with wanting to have the discussion included higher educational level, believing that doctors can accurately predict life expectancy, and past experience with either a life-threatening illness or having discussed life expectancy of a loved one. Reporting that religion is important was negatively associated. CONCLUSIONS: The majority of older adults did not wish to discuss life expectancy when we depicted a hypothetical patient with limited life expectancy. Many also did not want to be offered discussion, raising a dilemma for how clinicians may identify patients' preferences regarding this sensitive topic.

Cost implications of PSA screening differ by age.

BACKGROUND: Multiple guidelines seek to alter rates of prostate-specific antigen (PSA)-based prostate cancer screening. The costs borne by payers associated with PSA-based screening for men of different age groups-including the costs of screening and subsequent diagnosis, treatment, and adverse events-remain uncertain. We sought to develop a model of PSA costs that could be used by payers and health care systems to inform cost considerations under a range of different scenarios. METHODS: We determined the prevalence of PSA screening among men aged 50 and higher using 2013-2014 data from a large, multispecialty group, obtained reimbursed costs associated with screening, diagnosis, and treatment from a commercial health plan, and identified transition probabilities for biopsy, diagnosis, treatment, and complications from the literature to generate a cost model. We estimated annual total costs for groups of men ages 50-54, 55-69, and 70+ years, and varied annual prostate cancer screening prevalence in each group from 5 to 50% and tested hypothetical examples of different test characteristics (e.g., true/false positive rate). RESULTS: Under the baseline screening patterns, costs of the PSA screening represented 10.1% of the total costs; costs of biopsies and associated complications were 23.3% of total costs; and, although only 0.3% of all screen eligible patients were treated, they accounted for 66.7% of total costs. For each 5-percentage point decrease in PSA screening among men aged 70 and older for a single calendar year, total costs associated with prostate cancer screening decreased by 13.8%. For each 5-percentage point decrease in PSA screening among men 50-54 and 55-69 years old, costs were 2.3% and 7.3% lower respectively. CONCLUSIONS: With constrained financial resources and with national pressure to decrease use of clinically unnecessary PSA-based prostate cancer screening, there is an opportunity for cost savings, especially by focusing on the downstream costs disproportionately associated with screening men 70 and older.

HUD Housing Assistance and Levels of Physical Activity Among Low-Income Adults.

INTRODUCTION: Receipt of housing assistance from the US Department of Housing and Urban Development (HUD) is associated with improved health among adults and lower rates of unmet medical need among adults and young children. However, it is unclear whether HUD housing assistance is associated with healthier behaviors. The objective of our study was to assess whether participation in HUD housing assistance programs is associated with increased physical activity among low-income adults. METHODS: In 2017, we pooled cross-sectional data from the 2004-2012 National Health Interview Survey (NHIS) linked to administrative records of HUD housing assistance participation. Our primary sample was low-income adults (aged ≥18; <200% of federal poverty level). Using multivariate logistic regression, we calculated the odds of being physically active (≥150 min/week of moderate-intensity activity or equivalent combination of moderate- and vigorous-intensity activity) among current HUD housing assistance residents compared with a control group of future residents (adults who would receive assistance within the next 2 years). In a secondary analyses, we examined neighborhood socioeconomic status as a modifier and conducted a subanalysis among nonsenior adults (aged <65). RESULTS: Among all low-income adults, the adjusted odds of being physically active were similar for current and future residents (odds ratio =1.17; 95% confidence interval, 0.95-1.46). Among nonseniors, current residents were more likely to be physically active than future residents (odds ratio = 1.47; 95% confidence interval, 1.10-1.97). Associations did not differ by neighborhood socioeconomic status. CONCLUSION: Receiving HUD housing assistance is associated with being physically active among nonsenior low-income adults.

Socioeconomic factors affect the selection of proton radiation therapy for children.

BACKGROUND: Proton radiotherapy remains a limited resource despite its clear potential for reducing radiation doses to normal tissues and late effects in children in comparison with photon therapy. This study examined the impact of race and socioeconomic factors on the use of proton therapy in children with solid malignancies. METHODS: This study evaluated 12,101 children (age ≤ 21 years) in the National Cancer Data Base who had been diagnosed with a solid malignancy between 2004 and 2013 and had received photon- or proton-based radiotherapy. Logistic regression analysis was used to evaluate patient, tumor, and socioeconomic variables affecting treatment with proton radiotherapy versus photon radiotherapy. RESULTS: Eight percent of the patients in the entire cohort received proton radiotherapy, and this proportion increased between 2004 (1.7%) and 2013 (17.5%). Proton therapy was more frequently used in younger patients (age ≤ 10 years; odds ratio [OR], 1.9; 95% confidence interval [CI], 1.6-2.2) and in patients with bone/joint primaries and ependymoma, medulloblastoma, and rhabdomyosarcoma histologies (P < .05). Patients with metastatic disease were less likely to receive proton therapy (OR, 0.4; 95% CI, 0.3-0.6). Patients with private/managed care were more likely than patients with Medicaid or no insurance to receive proton therapy (P < .0001). A higher median household income and educational attainment were also associated with increased proton use (P < .001). Patients treated with proton therapy versus photon therapy were more likely to travel more than 200 miles (13% vs 5%; P < .0001). CONCLUSIONS: Socioeconomic factors affect the use of proton radiotherapy in children. Whether this disparity is related to differences in the referral patterns, the knowledge of treatment modalities, or the ability to travel for therapy needs to be further clarified. Improving access to proton therapy in underserved pediatric populations is essential. Cancer 2017;123:4048-56. © 2017 American Cancer Society.