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PurposeInvestigating transgender people's experiences sharing health information in clinical encounters may yield insights for family medicine clinicians.MethodsThis was a qualitative study using a community-based participatory research approach and interpretive description methodology. Seven qualitative focus groups were conducted with 30 transgender adults living in North America. We used purposive sampling to ensure diversity. The focus groups were transcribed verbatim, and 2 investigators independently reviewed and coded each transcript, then they mutually reviewed the transcripts, reconciled their coding, and summarized the codes into themes. Themes were reviewed with community members, participants, and uninvolved clinically oriented investigators for member checking and peer debriefing.ResultsFour themes were noted: (1) transgender people often perceive clinicians' questions as voyeuristic, stigmatizing, or self-protective; (2) patients describe being pathologized, denied or given substandard care, or harmed when clinicians learned they are transgender; (3) transgender people frequently choose between risking stigma when sharing information and risking ineffective clinical problem solving if clinicians do not have all the information about their medical histories; (4) improving the safety of transgender people is difficult in the context of contemporary medical systems.ConclusionsTransgender people often must choose between stigma and potentially suboptimal care. Improvements in medical culture, policies, procedures, and data collection tools are necessary to improve the quality and safety of clinical care for transgender people. Institutional and systems changes may be required to safely and effectively implement sexual orientation and gender identity (SOGI) data collection in clinical settings.

BackgroundPain management racial disparities exist, yet it is unclear whether disparities exist in pain management in advanced cancer.ObjectiveTo examine the effect of race on physicians' pain assessment and treatment in advanced lung cancer and the moderating effect of patient activation.DesignRandomized field experiment. Physicians consented to see two unannounced standardized patients (SPs) over 18 months. SPs portrayed 4 identical roles-a 62-year-old man with advanced lung cancer and uncontrolled pain-differing by race (black or white) and role (activated or typical). Activated SPs asked questions, interrupted when necessary, made requests, and expressed opinions.ParticipantsNinety-six primary care physicians (PCPs) and oncologists from small cities, and suburban and rural areas of New York, Indiana, and Michigan. Physicians' mean age was 52 years (SD = 27.17), 59% male, and 64% white.Main measuresOpioids prescribed (or not), total daily opioid doses (in oral morphine equivalents), guideline-concordant pain management, and pain assessment.Key resultsSPs completed 181 covertly audio-recorded visits that had complete data for the model covariates. Physicians detected SPs in 15% of visits. Physicians prescribed opioids in 71% of visits; 38% received guideline-concordant doses. Neither race nor activation was associated with total opioid dose or guideline-concordant pain management, and there were no interaction effects (p > 0.05). Activation, but not race, was associated with improved pain assessment (ẞ, 0.46, 95% CI 0.18, 0.74). In post hoc analyses, oncologists (but not PCPs) were less likely to prescribe opioids to black SPs (OR 0.24, 95% CI 0.07, 0.81).ConclusionsNeither race nor activation was associated with opioid prescribing; activation was associated with better pain assessment. In post hoc analyses, oncologists were less likely to prescribe opioids to black male SPs than white male SPs; PCPs had no racial disparities. In general, physicians may be under-prescribing opioids for cancer pain.Trial registrationNCT01501006.

Background: Guidelines informing chemotherapy regimen selection are based on clinical trials with participants who do not necessarily represent general populations with breast cancer. Understanding who receives nonguideline regimens is important for understanding real-world chemotherapy administration and how it relates to patient outcomes. Methods: Using data from the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study, based at Kaiser Permanente Northern California (2006-2019) and Kaiser Permanente Washington (2004-2015), we use logistic regression to examine the associations between patient characteristics and receipt of nonguideline chemotherapy regimens among 11,293 women with primary stage I to IIIA breast cancer receiving chemotherapy. Results: The use of nonguideline regimens was strongly associated with several factors, including older age [=80 vs. 18-39 years: OR, 5.25; 95% confidence interval (CI), 3.06-9.00; P-trend = 0.002] and HER2 status (HER2+ vs. HER2-: OR, 3.44; 95% CI, 3.06-3.87) and was less likely in women with larger tumor size (>5 cm vs. 0.1 to =0.5 cm: OR, 0.56; 95% CI, 0.36-0.87; P-trend = 0.01) and diagnosed in later years (2012-2019 vs. 2005-2011: OR, 0.80; 95% CI, 0.71-0.90). Factors associated varied by type of nonguideline regimens. For example, women with comorbidity and older age were more likely to receive nonguideline drug combinations in particular, whereas women with larger tumor size were less likely to receive nonguideline administration schedules. Conclusions: Nonguideline chemotherapy regimens are more likely in certain patient populations. [ABSTRACT FROM AUTHOR]

BackgroundThe authors investigated disparities in the survivorship experience among Latinas with breast cancer (BC) in comparison with non-Latinas.MethodsA cross-sectional bilingual telephone survey was conducted among 212 Latina and non-Latina women within 10 to 24 months after a diagnosis of BC (AJCC TNM staging system stage 0-III) at 2 Los Angeles County public hospitals. Data were collected using the Preparing for Life as a (New) Survivor (PLANS) scale, Perceived Efficacy in Patient-Physician Interactions Questionnaire (PEPPI), Breast Cancer Prevention Trial (BCPT) Symptom Checklist, Satisfaction with Care and Information Scale, Consumer Assessment of Healthcare Providers and Systems (CAHPS) tool, Charlson Comorbidity Index adapted for patient self-report, and the 12-item Short Form Health Survey. Controlling variables included age, stage as determined by the American Joint Committee on Cancer (AJCC) TNM staging system, educational level, and study site in multivariate analyses.ResultsThe mean ages of Latinas and non-Latinas were 51.5 years and 56.6 years, respectively. Compared with non-Latinas, Latinas reported less BC survivorship knowledge (27.3 vs 30.7; P

BackgroundRacial disparities exist in the care provided to advanced cancer patients. This article describes an investigation designed to advance the science of healthcare disparities by isolating the effects of patient race and patient activation on physician behavior using novel standardized patient (SP) methodology.Methods/designThe Social and Behavioral Influences (SBI) Study is a National Cancer Institute sponsored trial conducted in Western New York State, Northern/Central Indiana, and lower Michigan. The trial uses an incomplete randomized block design, randomizing physicians to see patients who are either black or white and who are "typical" or "activated" (e.g., ask questions, express opinions, ask for clarification, etc.). The study will enroll 91 physicians.DiscussionThe SBI study addresses important gaps in our knowledge about racial disparities and methods to reduce them in patients with advanced cancer by using standardized patient methodology. This study is innovative in aims, design, and methodology and will point the way to interventions that can reduce racial disparities and discrimination and draw links between implicit attitudes and physician behaviors.Trial registrationhttps://clinicaltrials.gov/ , #NCT01501006, November 30, 2011.

Unwarranted breast cancer adjuvant chemotherapy dose reductions have been documented in black women, women of lower socioeconomic status, and those who are obese. No information on the quality of chemotherapy is available in Hispanic women. The purpose of this study was to characterize factors associated with first cycle chemotherapy dose selection in a multi-ethnic sample of low-income women receiving chemotherapy through the Breast and Cervical Cancer Prevention Treatment Program (BCCPT) and to investigate the impact of Hispanic ethnicity and patient self-efficacy on adjuvant chemotherapy dose selection. Survey and chemotherapy information were obtained from consenting participants enrolled in the California BCCPT. Analyses identified clinical and non-clinical factors associated with first cycle chemotherapy doses less than 90 % of expected doses. Of 552 patients who received chemotherapy, 397 (72 %) were eligible for inclusion. First cycle dose reductions were given to 14 % of the sample. In multivariate analyses, increasing body mass index and non-academic treatment site were associated with doses below 90 % of the expected doses. No other clinical or non-clinical factors, including ethnicity, were associated with first cycle doses selection. In this universally low-income sample, we identified no association between Hispanic ethnicity and other non-clinical patient factors, including patient self-efficacy, in chemotherapy dose selection. As seen in other studies, obesity was associated with systematic dose limits. The guidelines on chemotherapy dose selection in the obese may help address such dose reductions. A greater understanding of the association between type of treatment site and dose selection is warranted. Overall, access to adequate health care allows the vast majority of low-income women with breast cancer to receive high-quality breast cancer chemotherapy.

Background: We updated algorithms to identify breast cancer recurrences from administrative data, extending previously developed methods. Methods: In this validation study, we evaluated pairs of breast cancer recurrence algorithms (vs. individual algorithms) to identify recurrences. We generated algorithm combinations that categorized discordant algorithm results as no recurrence [High Specificity and PPV (positive predictive value) Combination] or recurrence (High Sensitivity Combination). We compared individual and combined algorithm results to manually abstracted recurrence outcomes from a sample of 600 people with incident stage I-IIIA breast cancer diagnosed between 2004 and 2015. We used Cox regression to evaluate risk factors associated with age- and stage-adjusted recurrence rates using different recurrence definitions, weighted by inverse sampling probabilities. Results: Among 600 people, we identified 117 recurrences using the High Specificity and PPV Combination, 505 using the High Sensitivity Combination, and 118 using manual abstraction. The High Specificity and PPV Combination had good specificity [98%, 95% confidence interval (CI): 97-99] and PPV (72%, 95% CI: 63-80) but modest sensitivity (64%, 95% CI: 44-80). The High Sensitivity Combination had good sensitivity (80%, 95% CI: 49-94) and specificity (83%, 95% CI: 80-86) but low PPV (29%, 95% CI: 25-34). Recurrence rates using combined algorithms were similar in magnitude for most risk factors. Conclusions: By combining algorithms, we identified breast cancer recurrences with greater PPV than individual algorithms, without additional review of discordant records. [ABSTRACT FROM AUTHOR]

IntroductionWe examined race/ethnic differences in treatment-related job loss and the financial impact of treatment-related job loss, in a population-based sample of women diagnosed with breast cancer.MethodsThree thousand two hundred fifty two women with non-metastatic breast cancer diagnosed (August 2005-February 2007) within the Los Angeles County and Detroit Metropolitan Surveillance Epidemiology and End Results registries, were identified and asked to complete a survey (mean time from diagnosis = 8.9 months). Latina and African American women were over-sampled (n = 2268, eligible response rate 72.1%).ResultsOne thousand one hundred eleven women (69.6%) of working age (