Consuming Patients' Days: Time Spent on Ambulatory Appointments by People With Cancer.

BACKGROUND: In qualitative work, patients report that seemingly short trips to clinic (eg, a supposed 10-minute blood draw) often turn into "all-day affairs." We sought to quantify the time patients with cancer spend attending ambulatory appointments. METHODS: We conducted a retrospective study of patients scheduled for oncology-related ambulatory care (eg, labs, imaging, procedures, infusions, and clinician visits) at an academic cancer center over 1 week. The primary exposure was the ambulatory service type(s) (eg, clinician visit only, labs and infusion, etc.). We used Real-Time Location System badge data to calculate clinic times and estimated round-trip travel times and parking times. We calculated and summarized clinic and total (clinic + travel + parking) times for ambulatory service types. RESULTS: We included 435 patients. Across all service day type(s), the median (IQR) clinic time was 119 (78-202) minutes. The estimated median (IQR) round-trip driving distance and travel time was 34 (17-49) miles and 50 (36-68) minutes. The median (IQR) parking time was 14 (12-15) minutes. Overall, the median (IQR) total time was 197 (143-287) minutes. The median total times for specific service type(s) included: 99 minutes for lab-only, 144 minutes for clinician visit only, and 278 minutes for labs, clinician visit, and infusion. CONCLUSION: Patients often spent several hours pursuing ambulatory cancer care on a given day. Accounting for opportunity time costs and the coordination of activities around ambulatory care, these results highlight the substantial time burdens of cancer care, and support the notion that many days with ambulatory health care contact may represent "lost days."

Impact of body mass index on pathological response after neoadjuvant chemotherapy: results from the I-SPY 2 trial.

PURPOSE: Increased body mass index (BMI) has been associated with poor outcomes in women with breast cancer. We evaluated the association between BMI and pathological complete response (pCR) in the I-SPY 2 trial. METHODS: 978 patients enrolled in the I-SPY 2 trial 3/2010-11/2016 and had a recorded baseline BMI prior to treatment were included in the analysis. Tumor subtypes were defined by hormone receptor and HER2 status. Pretreatment BMI was categorized as obese (BMI ≥ 30 kg/m2), overweight (25 ≤ BMI < 30 kg/m2), and normal/underweight (< 25 kg/m2). pCR was defined as elimination of detectable invasive cancer in the breast and lymph nodes (ypT0/Tis and ypN0) at the time of surgery. Logistic regression analysis was used to determine associations between BMI and pCR. Event-free survival (EFS) and overall survival (OS) between different BMI categories were examined using Cox proportional hazards regression. RESULTS: The median age in the study population was 49 years. pCR rates were 32.8% in normal/underweight, 31.4% in overweight, and 32.5% in obese patients. In univariable analysis, there was no significant difference in pCR with BMI. In multivariable analysis adjusted for race/ethnicity, age, menopausal status, breast cancer subtype, and clinical stage, there was no significant difference in pCR after neoadjuvant chemotherapy for obese compared with normal/underweight patients (OR = 1.1, 95% CI 0.68-1.63, P = 0.83), and for overweight compared with normal/underweight (OR = 1, 95% CI 0.64-1.47, P = 0.88). We tested for potential interaction between BMI and breast cancer subtype; however, the interaction was not significant in the multivariable model (P = 0.09). Multivariate Cox regression showed there was no difference in EFS (P = 0.81) or OS (P = 0.52) between obese, overweight, and normal/underweight breast cancer patients with a median follow-up time of 3.8 years. CONCLUSION: We found no difference in pCR rates by BMI with actual body weight-based neoadjuvant chemotherapy in this biologically high-risk breast cancer population in the I-SPY2 trial.

Rural-urban differences in meeting of physical activity recommendations by sun exposure and protection behaviors in the United States.

OBJECTIVE: To examine associations between sun protection behaviors and physical activity (PA) by rural and urban residence in the United States. METHODS: We analyzed data from the National Health and Nutrition Examination Survey (2013-2018), restricting to participants ages 20-59 with sun behavior data. Sunburns, sun exposure, and sun protection measures were dichotomized (yes/no): ≥1 sunburn in the past year, 2+ hour outside during workdays or non-workdays, and never/rarely/sometimes using sunscreen, wearing long sleeves, and staying in the shade. Meeting PA recommendations (yes/no) was defined as ≥150 min of vigorous/moderate or ≥ 75 min vigorous PA per week. Associations between sun behaviors and PA were analyzed using logistic regression models, which accounted for survey-weights and potential confounders, and stratified by rural-urban status. RESULTS: Rural and urban individuals meeting PA recommendations had greater odds of spending 2+ hour outside during workdays (OR: 2.26 [1.88, 2.74] and 3.95 [2.72, 5.73]) and non-workdays (OR: 2.06 [1.78, 2.38] and 3.33 [2.47, 4.46]). Among urban residents, odds of staying in the shade were lower among those who met PA recommendations (OR: 0.78 [0.66, 0.92]). We did not observe differences in sunburns or other sun behaviors by PA status, regardless of rurality. CONCLUSIONS: Meeting PA recommendations was associated with greater sun exposure in both rural and urban populations. Additional exercise location (indoors/outside) data is needed to inform PA and skin cancer prevention interventions to reduce unintended increases in sun exposure and reductions in PA, respectively, especially among rural populations.

Comparisons of financial hardship in cancer care by family structure and among those with and without minor children using nationally representative data.

INTRODUCTION: While demographic risk factors of cancer-related financial hardships have been studied, having minor children or being single have rarely been assessed in the context of healthcare-related financial hardships. METHODS: Using data from the 2015 to 2018 National Health Interview Survey, we assessed financial hardship (material and psychological hardship; behavioral coping due to costs: delaying/foregoing care, reducing prescription costs, or skipping specialists or follow-up care) among adults aged 18-59 years with cancer (N = 2844) by minor child parenting status and family structure. In a secondary analysis, we compared this group with individuals without cancer. Using logistic regression models, we compared those with and without children aged <18 years, further distinguishing between those who were single versus one of two or more adults in the family. RESULTS: Compared to individuals from families with two or more adults/without children, single adults with children more often reported cancer-related financial hardships, for example material hardship (45.9% vs. 38.8%), and reducing prescription costs, (50.7% vs. 34.4%, adjusted OR 1.57, 95% CI 1.07-2.28). Single adults without minor children and those from families with two or more adults/with minor children also reported greater financial hardships on some dimensions. Associations were similar among those without cancer, but the overall magnitude of financial hardships was lower compared to those with cancer. CONCLUSIONS: Our findings suggest that having minor children, and being a single adult are risk factors for cancer-related financial hardship. Financial vulnerability associated with family structure should be taken into consideration in healthcare, and especially cancer care.

Structural adverse childhood experiences associated with suicidal ideation, suicide attempts, and repetitive nonsuicidal self-injury among racially and ethnically minoritized youth.

INTRODUCTION: High rates of suicidal ideation (SI), suicide attempts (SA), and repetitive nonsuicidal self-injury (NSSI) among some ethnoracially minoritized United States youth populations may be related to adverse childhood experiences (ACEs) with structural roots. METHODS: Using the 2013-2019 Minnesota Student Surveys, we assessed associations of student-reported structural ACEs (parental incarceration, housing instability, food insecurity, and foster care involvement) with SI, SA, and repetitive NSSI within the past 12 months using multilevel logistic regression stratified by ethnoracial group (American Indian/Alaskan Native [AIAN], Hmong, other Asian, Black Latino, other Latino, Somali, other Black/African American [AA], Native Hawaiian/Pacific Islander [NHPI], and multiracial), and adjusted for sex, grade, ACEs experienced within one's household, mental health treatment, and perceived safety. RESULTS: Structural ACEs were strongly associated with increasing SI, SA, and NSSI. At ≥2 structural ACEs, repetitive NSSI rates ranged from 7% to 29% (female), 8% to 20% (male); SA rates ranged from 13% to 35% (female), 10% to 22% (male); and SI rates ranged from 31% to 50% (female), 20% to 32% (male). Black Latino, NHPI, AIAN, and Black/AA students most often reported structural ACE exposures. CONCLUSION: Reducing structural ACEs may reduce SI, SA, and repetitive NSSI among ethnoracially minoritized youth populations. Disaggregating diverse youth groups revealed variations in these outcomes that remain hidden when subpopulations are aggregated.

Rural-Urban Differences in Sun Exposure and Protection Behaviors in the United States.

BACKGROUND: Evidence regarding whether rural residence is a risk factor for skin cancer is mixed. We compared sun exposure and protection behaviors between rural and urban residents by ethno-racial group in the United States. METHODS: We analyzed data from three (2013-2018) National Health and Nutrition Examination Survey cycles. We compared self-reported sun exposure and protection measures (sunburn, time spent outside, sunscreen use, wearing long sleeves, staying in shade) by rural-urban residential status using survey-weighted logistic regression models stratified by ethno-racial group, adjusting for age, sex, income, education, body mass index, and smoking. RESULTS: Hispanic rural versus urban residents more often reported sunburns in the past year [41.6% vs. 31.2%, adjusted OR (aOR): 1.46 (1.15-1.86)]. White rural versus urban residents more often spent 2+ hours outside on workdays [42.9% vs. 29.1%, aOR: 1.60 (1.27-2.01)] and non-workdays [72.2% vs. 64.8%, aOR: 1.45 (1.12-1.88)] and less often used sunscreen [26.0% vs. 35.1%, aOR: 0.74 (0.59-0.93)] and stayed in the shade [21.7% vs. 26.7%, aOR: 0.72 (0.57-0.89)]. Black rural versus urban residents stayed in the shade less often [31.6% vs. 43.9%, aOR: 0.60 (0.39-0.91)] but less often spent 2+ hours outside on non-workdays [47.6% vs. 56.8%, aOR: 0.67 (0.51-0.90)]. CONCLUSIONS: Across all ethno-racial groups included, rural residents reported greater sun risk behaviors than urban residents, with some nuances by ethno-racial identity, suggesting rural residence is a potential risk factor for skin cancer. IMPACT: Sun protection promotion programs should consider rural-urban settings while also accounting for ethno-racial identities.

Association of antibiotic exposure with residual cancer burden in HER2-negative early stage breast cancer.

Antibiotic exposure during immunotherapy (IO) has been shown to negatively affect clinical outcomes in various cancer types. The aim of this study was to evaluate whether antibiotic exposure in patients with high-risk early-stage HER2-negative breast cancer (BC) undergoing treatment with neoadjuvant pembrolizumab impacted residual cancer burden (RCB) and pathologic complete response (pCR) in the pembrolizumab-4 arm of the ISPY-2 clinical trial. Patients received pembrolizumab for four cycles concurrently with weekly paclitaxel for 12 weeks, followed by four cycles of doxorubicin plus cyclophosphamide every 2 or 3 weeks. Patients who received at least one dose of systemic antibiotics concurrently at the time of immunotherapy (IO) were included in the antibiotic exposure group (ATB+). All other participants were included in the control group (ATB-). RCB index and PCR rates were compared between the ATB+ and ATB- groups using t-tests and Chi-squared tests, and linear and logistic regression models, respectively. Sixty-six patients were included in the analysis. 18/66 (27%) patients were in the ATB+ group. Antibiotic use during IO was associated with a higher mean RCB index (1.80 ± 1.43 versus 1.08 ± 1.41) and a lower pCR rate (27.8% versus 52.1%). The association between antibiotic use and the RCB index remained significant in multivariable linear regression analysis (RCB index-coefficient 0.86, 95% CI 0.20-1.53, P = 0.01). Our findings suggest that concurrent antibiotic exposure during neoadjuvant pembrolizumab in HER2-negative early-stage BC is associated with higher RCB. Further validation in larger cohorts is needed to confirm these findings.

A pilot randomized controlled trial of an online intervention for Hodgkin lymphoma survivors to increase knowledge about late effects and recommended screening.

BACKGROUND: Hodgkin lymphoma (HL) survivors who received chest radiotherapy are at risk for breast cancer and cardiovascular disease, but screening adherence is low. We assessed the acceptability/feasibility of a web-based educational intervention and its impact on knowledge of health risks and screening. METHODS: HL survivors were randomized to either an interactive online educational intervention or handouts only. Surveys were completed at baseline and 3 months post-intervention. We described the acceptability/feasibility of the intervention and compared knowledge between groups. RESULTS: Fifty-two HL survivors participated; 27 in the intervention group and 25 in the control group. Eighteen (66%) intervention participants completed the intervention and reported high acceptability (89-100%). At baseline, adherence to breast cancer screening was low across all participants. Post-intervention, those in the intervention group more often than controls correctly identified breast cancer and echocardiogram screening guidelines (35% vs. 28%, P = 0.02 and 82% vs. 52%, P = 0.04) and reported knowing how to address potential complications from cancer treatments (87% vs. 64%, P = 0.03). We detected no increase in screening behavior post-intervention. CONCLUSION: Online education modules for high-risk HL survivors are an acceptable method to improve knowledge of health risks and screening guidelines. Future interventions should focus on improving screening uptake in this population. IMPLICATIONS FOR CANCER SURVIVORS: Web-based learning can be useful in increasing cancer survivor knowledge of their unique risks and screening recommendations but does not necessarily change patient behavior. Involvement in a cancer survivorship program can help assess individual barriers and monitor uptake of screening.

Data quality in a survey of registered medical cannabis users with cancer: nonresponse and measurement error.

Cannabis use among individuals with cancer is best understood using survey self-report. As cannabis remains federally illegal, surveys could be subject to nonresponse and measurement issues impacting data quality. We surveyed individuals using medical cannabis for a cancer-related condition in the Minnesota Medical Cannabis Program (MCP). Although survey responders are older, there are no differences by race and ethnicity, gender, or receipt of reduced cannabis registry enrollment fee. Responders made a more recent purchase and more recently completed an independent symptom assessment for the registry than nonresponders, suggesting some opportunity for nonresponse error. Among responders, self-report and MCP administrative data with respect to age, race, gender, registry certification, and cannabis purchase history were similar. Responders were less likely to report receipt of Medicaid than would be expected based on registry low-income enrollment eligibility. Although attention should be paid to potential for nonresponse error, surveys are a reliable tool to ascertain cannabis behavior patterns in this population.

Logistic burdens of cancer care: A qualitative study.

Cancer treatment often creates logistic conflicts with everyday life priorities; however, these challenges and how they are subjectively experienced have been largely unaddressed in cancer care. Our goal was to describe time and logistic requirements of cancer care and whether and how they interfered with daily life and well-being. We conducted interviews with 20 adults receiving cancer-directed treatment at a single academic cancer center. We focused on participants' perception of the time, effort, and energy-intensiveness of cancer care activities, organization of care requirements, and preferences in how to manage the logistic burdens of their cancer care. Participant interview transcripts were analyzed using an inductive thematic analysis approach. Burdens related to travel, appointment schedules, healthcare system navigation, and consequences for relationships had roots both at the system-level (e.g. labs that were chronically delayed, protocol-centered rather than patient-centered bureaucratic requirements) and in individual circumstances (e.g. greater stressors among those working and/or have young children versus those who are retired) that determined subjective burdensomeness, which was highest among patients who experienced multiple sources of burdens simultaneously. Our study illustrates how objective burdens of cancer care translate into subjective burden depending on patient circumstances, emphasizing that to study burdens of care, an exclusive focus on objective measures does not capture the complexity of these issues. The complex interplay between healthcare system factors and individual circumstances points to clinical opportunities, for example helping patients to find ways to meet work and childcare requirements while receiving care.