Arif Hossain Kamal

Since 2021, the American Cancer Society has published its biennial report on the status of cancer disparities in the United States. In this 2025 report, the authors provide updated data on disparities in cancer occurrence and outcomes by sex, race, ethnicity, socioeconomic status (SES [educational attainment as a proxy]), and geographic location (including urbanicity of county of residence and congressional district), along with contributors to these disparities, including major cancer risk factors, screening, and select social determinants of health (SDOH) and health‐related social needs. The authors found substantial disparities across the cancer continuum, including risk factors, incidence, stage at diagnosis, receipt of care, survival, and mortality for many cancers and in evaluated SDOH by race and ethnicity, educational attainment, and geographic location. During 2019 through 2023, Black and American Indian/Alaska Native populations had the highest cancer mortality rates, both overall and for the leading causes of cancer death. Cancer mortality rates were also consistently higher among adults with lower SES. However, differences in cancer mortality were substantially larger by education than by race, indicating that SES plays a major role in driving racial disparities in cancer mortality. Overall cancer mortality rates were higher in Black adults than in White adults with the same education level by 7%–28% among males and by 2%–43% among females. Within each race, however, overall cancer mortality rates were higher in adults with ≤12 years of education than in those with ≥16 years of education by 143%–192% among males and by 71%–140% among females. Mortality from all cancers combined was 21% higher in nonmetropolitan than in large metropolitan counties, with the greatest differences for lung (45%) and cervical (36%) cancers and the smallest for prostate, female breast, and pancreatic cancers (7%–8%). By congressional district, the highest cancer mortality rates both overall and for lung, colorectal, and breast cancers were largely found in the South and East North‐Central division of the Midwest; however, for prostate cancer, there was no distinct geographic pattern. Sociodemographic groups that had higher cancer mortality generally had higher exposure to risk factors, lower health insurance coverage, and limited access to cancer prevention, early detection, and treatment compared with groups that had lower cancer mortality, largely reflecting fundamental disparities in SDOH. Mitigating cancer disparities in the United States requires intersectoral stakeholder engagement, targeted funding, effective policies at the federal, state, and local levels, and broad implementation of evidence‐based interventions, such as expanding health insurance coverage, including through strengthening Marketplaces and protecting and expanding access to Medicaid.

Background: Patients with advanced cancer and their family caregivers often experience poor quality of life (QOL). Self-report measures are commonly used to quantify QOL of family caregivers but may have limitations such as recall bias and social desirability bias. Variables derived from passively obtained smartphone GPS data are a novel approach to measuring QOL that may overcome these limitations and enable detection of early signs of mental and physical health (PH) deterioration. Objective: This study explored the feasibility of a digital phenotyping approach by assessing participant adherence and examining correlations between smartphone GPS data and QOL levels among family caregivers and patients with advanced cancer. Methods: This was a secondary analysis involving 7 family caregivers and 4 patients with advanced cancer that assessed correlations between GPS sensor data captured by a personally owned smartphone and QOL self-report measures over 12 weeks through linear correlation coefficients. QOL as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health 10 was collected at baseline, 6, and 12 weeks. Using a Beiwe smartphone app, GPS data were collected and processed into variables including total distance, time spent at home, transition time, and number of significant locations. Results: The study identified relevant temporal correlations between QOL and smartphone GPS data across specific time periods. For instance, in terms of PH, associations were observed with the total distance traveled (12 and 13 wk, with r ranging 0.37 to 0.38), time spent at home (−4 to −2 wk, with r ranging from −0.41 to −0.49), and transition time (−4 to −2 wk, with r ranging −0.38 to −0.47). Conclusions: This research offers insights into using passively obtained smartphone GPS data as a novel approach for assessing and monitoring QOL among family caregivers and patients with advanced cancer, presenting potential advantages over traditional self-report measures. The observed correlations underscore the potential of this method to detect early signs of deteriorating mental health and PH, providing opportunities for timely intervention and support.

PURPOSE: Modeling passively collected smartphone sensor data (called digital phenotyping) has the potential to detect distress among family caregivers and patients with advanced cancer and could lead to novel clinical models of cancer care. The purpose of this study was to assess the feasibility and acceptability of collecting passive smartphone data from family caregivers and their care recipients with advanced cancer over 24 weeks. METHODS: This was an observational feasibility study. Family caregivers and patients with advanced cancer were recruited through clinic or via social media and downloaded a digital phenotyping application (Beiwe) to their smartphones that passively collected sensor data over 24 weeks. Feasibility was evaluated by quantifying enrollment and retention and the quantity of acquired data. Acceptability was assessed through post-24 week qualitative interviews. RESULTS: Of 178 caregiver and patient dyads approached, 22.5% of caregivers (n = 40) and 10.1% of patients (n = 18) both consented to the study and successfully downloaded the application, with most recruited through social media (93%). Of 24 weeks (168 days), the median number of days that data were received was 141 days. Interviews yielded three themes: (1) experiences with study procedures were generally positive despite some technical challenges; (2) security and privacy concerns were minimal, mitigated by clear explanations, trust in the health care system, and privacy norms; and (3) a clinical model that used passive smartphone monitoring to automatically trigger assistance could be beneficial but with concern about false alarms. CONCLUSION: This pilot study of collecting passive smartphone data found mixed indicators of feasibility, with suboptimal enrollment rates, particularly via clinic, but positive retention and data collection rates for those who did enroll. Participants had generally positive views of passive monitoring.

PURPOSESocioeconomic differences are partially responsible for racial inequities in cancer outcomes, yet the association of area-level socioeconomic disadvantage and race with end-of-life (EOL) cancer care quality is poorly understood.METHODSThis retrospective study used electronic medical records from an academic health system to identify 33,635 adults with cancer who died between 2013 and 2019. Using multivariable logistic regression, we examined associations between decedent characteristics and EOL care, including emergency department (ED) visits, intensive care unit (ICU) stays, palliative care consultation (PCC), hospice order, and in-hospital deaths. Social deprivation index was used to measure socioeconomic disadvantages.RESULTSRacially minoritized decedents had higher odds of ICU stay than the least deprived White decedents (eg, other race Q3: aOR, 2.06 [99% CI, 1.26 to 0.3.39]). White and Black decedents from more deprived areas had lower odds of ED visit (White Q3: aOR, 0.382 [99% CI, 0.263 to 0.556]; Black Q3: aOR, 0.566 [99% CI, 0.373 to 0.858]) than least deprived White decedents. Compared with White decedents living in least deprived areas, racially minoritized decedents had higher odds of receiving PCC and hospice order, whereas White decedents in most deprived areas had lower odds of PCC (aOR, 0.727 [99% CI, 0.592 to 0.893]) and hospice order (aOR, 0.845 [99% CI, 0.724 to 0.986]). Greater deprivation was associated with greater odds of hospital death relative to least deprived White decedents, but only among minoritized decedents (eg, Black Q4: aOR, 2.16 [99% CI, 1.82 to 2.56]).CONCLUSIONArea-level socioeconomic disadvantage is not uniformly associated with poorer EOL cancer care, with differences among decedents of different racial groups. Among minoritized pts, up arrow social deprivation assoc w up arrow receipt of #hapc & also up arrow receipt of EOL ICU care & hospital death

PURPOSE: Despite the growing calls for early and ubiquitous completion of advance directives (ADs), studies exploring links between AD completion and their impact on outcomes of patients with cancer have mixed conclusions. We used the ASCO Quality Oncology Practice Initiative (QOPI) registry to compare end-of-life (EOL) quality measures and the effect of QOPI certification among patients with and without early AD completion, defined as completion within the first three oncology visits after cancer diagnosis. METHODS: Deidentified patient-level data were analyzed from the QOPI database from 2015 through 2017. Associations were assessed using Chi-square tests between early AD completion and patient enrollment in hospice < 7 days before death, chemotherapy receipt in the last 14 days of life, or with emergency room visits or intensive care unit admissions in the last 30 days of life. RESULTS: Data from 31,558 patients eligible for the AD question were analyzed. Patients treated at QOPI-certified practices had higher rates of early AD completion than patients at non-certified practices. Early AD completion was not associated with differences in hospice enrollment for < 7 days before death, chemotherapy receipt in the last 14 days of life, or emergency room visits or intensive care unit encounters in the last 30 days of life. CONCLUSION: The study found that QOPI certification is associated with higher rates of early AD completion. However, early AD completion was not associated with recognized EOL quality measures. Future research should focus on the timing, frequency, and content of AD conversations to demonstrate the impact on care at the EOL.

PURPOSE: American Society for Clinical Oncology released the Choosing Wisely list in 2012, highlighting low-value procedures that lack evidence, advising against the use of positron emission tomography, computerized tomography, and radionuclide bone scans for the staging of early-stage breast cancer at low risk for metastasis. The objective of the study was to assess the impact of the American Society of Clinical Oncology Choosing Wisely guidelines on inappropriate staging imaging among early-stage breast cancers. METHODS: The Surveillance, Epidemiology, and End Results Program-Medicare data set was used to identify 50,004 women age 66 years and older with new incident diagnosis of early-stage breast cancer (stage 0 through stage 2a; T < 4, N = 0, and M = 0). The primary outcome was the incidence of patients with inappropriate imaging following an early-stage breast cancer diagnosis. The primary outcome was identified within 6 months of the first diagnosis. An interrupted time series analysis using negative binomial regression was performed for outpatient claims for these diagnostic studies versus the two interruptions of guidelines release and guidelines reinforcement. Mean images per patient, percent change for the study period, and rate of change per year were calculated. RESULTS: Imaging rates fell by a modest 2.32% following guidelines release in April 2012 (point estimate = −2.32%; 95% CI, −6.34% to 1.88%). By contrast, imaging rates fell by a four-fold larger amount (point estimate = −9.36%; 95% CI, −13.20% to −5.35%) following guidelines published reminders in journals (or reinforcement) in October 2013. Mean imaging studies per patient (95% CI) declined from 1.80 (1.76 to 1.84) in January 2012 to 1.50 (1.48 to 1.53) by January 2015, representing a 16% decline in imaging overuse in 2015 compared with 3 years earlier. The rate of change (95% CI) in images per patient was initially small at −0.47% (−4.27% to 3.33%) per year between April 2012 and October 2013, but almost eight times faster at −3.70% (−5.81% to −1.60%) per year after October 2013. CONCLUSION: This analysis demonstrates a substantial decrease in the prevalence of imaging overuse in early-stage breast cancers correlating with the 2013 reinforcement of American Society of Clinical Oncology's 2012 Choosing Wisely guidelines. The creation and dissemination of such resources serves as a powerful tool to improve clinical practice, cost-effectiveness, and patient safety from secondary malignancies, anxiety, and overdiagnosis.

In our medical journals, we will continue to see and hear that palliative care is good medicine...However, it is magical thinking to assume papers alone will enhance penetration, uptake, or existin...