Effectiveness of provider communication training for increasing human papillomavirus vaccine initiation at a safety-net health system.

Background: Strong provider recommendation can increase uptake of human papillomavirus (HPV) vaccination. Therefore, we developed and implemented a provider education intervention on communication strategies for recommending HPV vaccination with clinic-level audit and feedback (HPV: Communicating about HPV to Adults and Teens [HPV CHAT]). We aimed to evaluate the effect of HPV CHAT on HPV vaccine uptake in seven family medicine and pediatric clinics in a large urban health system (USA). Methods: We used a quasi-experimental design, where the eligible population included people aged 9-26 years with at least one encounter in June 2020-February 2023 at one of the participating community health clinics. We used interrupted time-series analysis to assess changes in the prevalence of HPV vaccine uptake. We used segmented Poisson regression with a log link function to estimate prevalence ratios (PR) and 95% confidence limits (CL) for level (immediate) and slope (over time) changes with adjustment for seasonality using Fourier transformation. Results: Our study population comprised 60,328 observations in which the median age was 17 years (interquartile range: 13-21). A majority (58%) were female and 87% were racial/ethnic minorities. Overall, we observed no sizeable effect of the intervention on HPV vaccination uptake. Nonetheless, heterogeneity was observed by age group with modest increases in individuals aged 9-12 and 13-17 years. Conclusion: Our provider feedback intervention had minimal effect on increasing prevalence of HPV vaccination in seven family medicine and pediatric clinics. Novel strategies are needed to address provider barriers related to HPV vaccination.

Emergency Department Bridge Model and Health Services Use Among Patients With Opioid Use Disorder.

STUDY OBJECTIVES: Little is known about the effectiveness of bridge clinics as transitional care programs for people with opioid use disorder in emergency departments (EDs). We assessed the effect of bridge clinic referral on health services use among patients with opioid use disorder identified in the ED. METHODS: We used data for individuals aged 18 years and over with active opioid use disorder and no history of medication for opioid use disorder who were administered medication for opioid use disorder while in the ED between January 2013 and August 2022. Bridge clinic referrals started in January 2021. Eligible patients after this date comprised the intervention group. The usual care group included eligible patients before bridge clinic implementation, who were a 1:1 propensity score matched to intervention patients. We estimated risk differences and 95% confidence limits for linkage to long-term care, ED use, and inpatient admission within 120 days of the index ED visit. RESULTS: Our study population comprised 928 observations after matching. Patients referred to the bridge clinic had a higher risk of linkage to long-term care (risk differences=25%; 95% confidence limits: 20%, 30%), higher risk of ED use (risk differences=7.5%, 95% confidence limits: 1.6%, 13%), and lower risk of inpatient admission (risk differences= -1.9%, 95% confidence limits: -5.9%, 2.1%). Inpatient admission increased among patients with serious mental illness but decreased among patients without serious mental illness. CONCLUSION: Our overall results suggest that bridge clinic referral increases linkage to long-term care. Nevertheless, qualitatively different effects on inpatient admission between patients with and without serious mental illness warrant consideration of unmet needs among patients with serious mental illness.

Physician-level determinants of HCV screening during pregnancy in a U.S. sample.

PURPOSE: The purpose of this study was to assess the association between select determinants and HCV screening guideline adherence among physicians who provide prenatal care. RESEARCH QUESTION: What factors may act as determinants of guideline adherence to HCV screening among physicians who provide prenatal care? METHODS: We surveyed a national sample of physicians who provided prenatal care in 2021. The survey included questions from the Clinician Guideline Determinant (CGD) questionnaire, demographic characteristics, and medical practice characteristics. We estimated odds ratios and 95% confidence intervals (CIs) using semi-Bayesian logistic regression for the association between determinants and guideline adherence. RESULTS: Participants included 224 physicians in the United States who reported providing prenatal care. Most physicians practiced in private practice (65%) and the majority were members of the American College of Obstetricians and Gynecologists (ACOG; 91%). Less than half (43%; 95% CI: 36%-49%) of physicians reported regular use of the HCV screening guideline. Physicians who reported general knowledge about HCV (OR = 9.0, 95% CI 3.1-30) or endorsed agreement with ease of implementation (OR = 8.0, 95% CI 2.7-25) had higher odds of adherence to the HCV screening guideline. CONCLUSION: Our study suggests that less than half of practicing prenatal care physicians adhere to HCV screening guidelines for pregnant patients. Our results may be useful as a preliminary screening of select determinants of guideline use for further investigation.

Survival After Implementation of a Decision Support Tool to Facilitate Evidence-Based Cancer Treatment.

PURPOSE: Decision support tools (DSTs) to facilitate evidence-based cancer treatment are increasingly common in care delivery organizations. Implementation of these tools may improve process outcomes, but little is known about effects on patient outcomes such as survival. We aimed to evaluate the effect of implementing a DST for cancer treatment on overall survival (OS) among patients with breast, colorectal, and lung cancer. METHODS: We used institutional cancer registry data to identify adults treated for first primary breast, colorectal, or lung cancer between December 2013 and December 2017. Our intervention of interest was implementation of a commercial DST for cancer treatment, and outcome of interest was OS. We emulated a single-arm trial with historical comparison and used a flexible parametric model to estimate standardized 3-year restricted mean survival time (RMST) difference and mortality risk ratio (RR) with 95% confidence limits (CLs). RESULTS: Our study population comprised 1,059 patients with cancer (323 breast, 318 colorectal, and 418 lung). Depending on cancer type, median age was 55-60 years, 45%-67% were racial/ethnic minorities, and 49%-69% were uninsured. DST implementation had little effect on survival at 3 years. The largest effect was observed among patients with lung cancer (RMST difference, 1.7 months; 95% CL, -0.26 to 3.7; mortality RR, 0.95; 95% CL, 0.88 to 1.0). Adherence with tool-based treatment recommendations was >70% before and >90% across cancers. CONCLUSION: Our results suggest that implementation of a DST for cancer treatment has nominal effect on OS, which may be partially attributable to high adherence with evidence-based treatment recommendations before tool implementation in our setting. Our results raise awareness that improved process outcomes may not translate to improved patient outcomes in some care delivery settings.

Effect of 2018 American College of Cardiology/American Heart Association Guideline Change on Statin Prescription for People Living with HIV.

The American College of Cardiology (ACC)/American Heart Association (AHA) guidelines were updated in 2018 to explicitly recommend statin use for primary cardiovascular disease prevention among people living with HIV (PLWH), but little is known about the effect of this guideline change. We aimed to assess the effect of the 2018 ACC/AHA guideline change on statin prescription among PLWH. We used data from an institutional HIV registry to identify PLWH aged 40-75 years, engaged in HIV care between June 2016 and May 2021, had a LDL cholesterol between 70 and 189 mg/dl, 10-year atherosclerotic cardiovascular disease (ASCVD) risk score ≥7.5%, no prior statin prescription, and no history of diabetes or ASCVD. Our outcome of interest was a new statin prescription within 12 months of eligibility. We estimated standardized risk difference (RD) with 95% confidence limits (CL) by comparing prescription probabilities before and after guideline change. Our study population comprised 251 PLWH (171 before, 80 after the guideline change), of whom 57% were aged <55 years, 82% were male, and 45% were non-Hispanic black. The standardized 12-month statin prescription risk was 43% (95% CL: 31%, 60%) after the guideline change and 19% (95% CL: 13%, 26%) before the guideline change (RD = 25%, 95% CL: 9.1%, 40%). Our results suggest that the 2018 ACC/AHA guideline change increased statin prescription among PLWH, but a sizable proportion of eligible PLWH were not prescribed statin. Future studies are needed to identify strategies to enhance implementation of statin prescription guidelines among PLWH.

Dietary supplement use among adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort Study.

BACKGROUND: Adult survivors of childhood cancer have poor adherence to nutrition guidelines and inadequate intake of dietary vitamins D and E, potassium, fiber, magnesium, and calcium. The contribution of vitamin and mineral supplement use to total nutrient intake in this population is unclear. METHODS: We examined the prevalence and dose of nutrient intake among 2570 adult survivors of childhood cancer participating in the St. Jude Lifetime Cohort Study, and the association of dietary supplement use with treatment exposures, symptom burden, and quality of life. RESULTS: Nearly 40% of the adult survivors of cancer survivors reported regular use of dietary supplements. Although cancer survivors who used dietary supplements were less likely to have inadequate intake of several nutrients, they were also more likely to have excessive intake (total nutrient intake ≥ tolerable upper intake levels) of folate (15.4% vs. 1.3%), vitamin A (12.2% vs. 0.2%), iron (27.8% vs. 1.2%), zinc (18.6% vs. 1%), and calcium (5.1% vs. 0.9%) compared with survivors who did not use dietary supplements (all p < 0.05). Treatment exposures, symptom burden, and physical functioning were not associated with supplement use, whereas emotional well-being and vitality were positively associated with supplement use among childhood cancer survivors. CONCLUSIONS: Supplement use is associated with both inadequate and excessive intake of specific nutrients, but positively impacts aspects of quality of life among childhood cancer survivors.

Cardiotoxicity among socioeconomically marginalized breast cancer patients.

PURPOSE: Evidence of cardiotoxicity risk related to anthracycline or trastuzumab exposure is largely derived from breast cancer cohorts that under-represent socioeconomically marginalized women, who may be at increased risk of cardiotoxicity because of high prevalence of cardiovascular disease risk factors. Therefore, we aimed to estimate cardiotoxicity risk among socioeconomically marginalized breast cancer patients treated with anthracyclines or trastuzumab and describe clinical consequences of cardiotoxicity. METHODS: We linked electronic health records with institutional registry data from a Comprehensive Community Cancer Program within a safety-net health system. Eligible patients were adult females, diagnosed with first primary invasive breast cancer between 2013 and 2017, and initiated anthracyclines or trastuzumab as part of first-line therapy. We estimated cumulative incidence (risk) of cardiotoxicity with corresponding 95% confidence limits (CL) using the Aalen-Johansen estimator with death as competing risk. RESULTS: Our study population comprised 169 women with breast cancer (103 initiated anthracyclines and 66 initiated trastuzumab). Cumulative incidence of cardiotoxicity was 21% (95% CL: 12%, 32%) at one year and 25% (95% CL: 15%, 35%) at three years among women who initiated trastuzumab, whereas cumulative incidence was 3.9% (95% CL: 1.3%, 8.9%) at one year and 5.9% (95% CL: 2.4%, 12%) at three years among women who initiated anthracyclines. More than half of patients with cardiotoxicity experienced interruption of cancer treatment. CONCLUSION: Our findings suggest high risk of cardiotoxicity among socioeconomically marginalized breast cancer patients after initiation of anthracyclines or trastuzumab. Strategies are needed for optimizing cancer treatment effectiveness while minimizing cardiotoxicity in this population.

Timing of adjuvant chemotherapy initiation and mortality among colon cancer patients at a safety-net health system.

BACKGROUND: Prior studies reported survival benefits from early initiation of adjuvant chemotherapy for stage III colon cancer, but this evidence was derived from studies that may be sensitive to time-related biases. Therefore, we aimed to estimate the effect of initiating adjuvant chemotherapy ≤8 or ≤ 12 weeks on overall and disease-free survival among stage III colon cancer patients using a study design that helps address time-related biases. METHODS: We used institutional registry data from JPS Oncology and Infusion Center, a Comprehensive Community Cancer Program. Eligible patients were adults aged < 80 years, diagnosed with first primary stage III colon cancer between 2011 and 2017, and received surgical resection with curative intent. We emulated a target trial with sequential eligibility. We subsequently pooled the trials and estimated risk ratios (RRs) along with 95% confidence limits (CL) for all-cause mortality and recurrence or death at 5-years between initiators and non-initiators of adjuvant chemotherapy ≤8 or ≤ 12 weeks using pseudo-observations and a marginal structural model with stabilized inverse probability of treatment weights. RESULTS: Our study population comprised 222 (for assessing initiation ≤8 weeks) and 310 (for assessing initiation ≤12 weeks) observations, of whom the majority were racial/ethnic minorities (64-65%), or uninsured with or without enrollment in our hospital-based medical assistance program (68-71%). Initiation of adjuvant chemotherapy ≤8 weeks of surgical resection did not improve overall survival (RR for all-cause mortality = 1.04, 95% CL: 0.57, 1.92) or disease-free survival (RR for recurrence or death = 1.07, 95% CL: 0.61, 1.88). The results were similar for initiation of adjuvant chemotherapy ≤12 weeks of surgical resection. CONCLUSIONS: Our results suggest that the overall and disease-free survival benefits of initiating adjuvant chemotherapy ≤8 or ≤ 12 weeks of surgical resection may be overestimated in prior studies, which may be attributable to time-related biases. Nevertheless, our estimates were imprecise and differences in population characteristics are an alternate explanation. Additional studies that address time-related biases are needed to clarify our findings.

Impact of prognostic factor distributions on mortality disparities for socioeconomically disadvantaged cancer patients.

PURPOSE: We aimed to assess whether differences in the distributions of prognostic factors explain reported mortality disparities between urban safety-net and Surveillance, Epidemiology, and End Results (SEER) cancer populations. METHODS: We used data from SEER and a safety-net cancer center in Texas. Eligible patients were adults aged ≤64 years and diagnosed with first primary female breast, colorectal, or lung cancer between 2008 and 2016. We estimated crude and adjusted risk differences (RD) in 3- and 5-year all-cause mortality (1- and 3-year for lung cancer), where adjustment was based on entropy balancing weights that standardized the distribution of sociodemographic and tumor characteristics between the two populations. RESULTS: Our study populations comprised 1914 safety-net patients and 389,709 SEER patients. For breast cancer, the crude 3- and 5-year mortality RDs between safety-net and SEER populations were 7.7% (95% confidence limits [CL]: 4.3%, 11%) and 11% (95% CL: 6.7%, 16%). Adjustment for measured prognostic factors reduced the mortality RDs (3-year adjusted RD = 0.049%, 95% CL: -2.6%, 2.6%; 5-year adjusted RD = 5.6%, 95% CL: -0.83%, 12%). We observed similar patterns for colorectal and lung cancer albeit less magnitude. CONCLUSIONS: Sociodemographic and tumor characteristics may largely explain early mortality disparities between safety-net and SEER populations but not late mortality disparities.

The data-collection on adverse effects of anti-HIV drugs (D:A:D) model for predicting cardiovascular events: External validation in a diverse cohort of people living with HIV.

OBJECTIVES: Little is known about the external validity of the Data-collection on Adverse Effects of Anti-HIV Drugs (D:A:D) model for predicting cardiovascular disease (CVD) risk among people living with HIV (PLWH). We aimed to evaluate the performance of the updated D:A:D model for 5-year CVD risk in a diverse group of PLWH engaged in HIV care. METHODS: We used data from an institutional HIV registry, which includes PLWH engaged in care at a safety-net HIV clinic. Eligible individuals had a baseline clinical encounter between 1 January 2013 and 31 December 2014, with follow-up through to 31 December 2019. We estimated 5-year predicted risks of CVD as a function of the prognostic index and baseline survival of the D:A:D model, which were used to assess model discrimination (C-index), calibration and net benefit. RESULTS: Our evaluable population comprised 1029 PLWH, of whom 30% were female, 50% were non-Hispanic black, and median age was 45 years. The C-index was 0.70 [95% confidence limits (CL): 0.64-0.75]. The predicted 5-year CVD risk was 3.0% and the observed 5-year risk was 8.9% (expected/observed ratio = 0.33, 95% CL: 0.26-0.54). The model had a greater net benefit than treating all or treating none at a risk threshold of 10%. CONCLUSIONS: The D:A:D model was miscalibrated for CVD risk among PLWH engaged in HIV care at an urban safety-net HIV clinic, which may be related to differences in case-mix and baseline CVD risk. Nevertheless, the HIV D:A:D model may be useful for decisions about CVD intervention for high-risk patients.

Brief Report: HIV Pre-exposure Prophylaxis Prescribing in an Urban Safety-Net Health System.

INTRODUCTION: Safety-net health systems are key settings for HIV pre-exposure prophylaxis (PrEP) implementation, but little evidence is available about the frequency of PrEP prescribing in safety-net settings. We assessed PrEP prescribing among people with indications for PrEP at an urban safety-net health system that serves a county designated as an Ending the HIV Epidemic priority jurisdiction. METHODS: We identified adults (aged 18 years or older) who engaged in primary care between January 2015 and December 2019 and had a documented indication for PrEP. PrEP indications included the presence of a behavioral or sexual risk factor of HIV acquisition or a positive bacterial sexually transmitted infection at the index visit. PrEP prescribing was defined as the proportion of patients with indications for PrEP who received a new prescription for PrEP. We estimated the cumulative incidence of PrEP prescription with corresponding 95% confidence limits (CL). RESULTS: Our study population comprised 2957 individuals, of whom 58% was aged younger than 45 years, 56% was women, 67% was racial or ethnic minorities, and 60% was uninsured or provided care as part of a hospital-based managed care plan for individuals without insurance. We identified 41 individuals who were prescribed PrEP. The cumulative incidence of PrEP prescribing within 1 year of the first documented PrEP indication was 1.3% (95% CL: 0.91% to 1.7%). CONCLUSIONS: Our results suggest extremely low frequency of PrEP prescribing among people with indications for PrEP in an urban safety-net health system. Strategies are needed to improve PrEP implementation in high-priority populations and safety-net settings.

Knowledge needs for implementing HIV pre-exposure prophylaxis among primary care providers in a safety-net health system.

Safety-net health systems are a primary source of care for socioeconomically disadvantaged individuals who may be eligible for HIV pre-exposure prophylaxis (PrEP) and are priority groups under the Ending the HIV Epidemic (EHE) initiative. Nevertheless, little evidence is available about barriers to PrEP implementation in safety-net settings. We aimed to assess the association between PrEP knowledge and prescribing practices, and to ascertain unmet knowledge needs to implement PrEP. In 2019, we surveyed primary care providers (PCPs) in a safety-net health system that serves an EHE priority jurisdiction located in North Texas. Our questionnaire ascertained self-reported prescribing practices, knowledge, and training needs related to PrEP. We used penalized logistic regression to estimate odds ratio (OR) and 95% posterior limits (PL) for the association between provider self-rated knowledge of PrEP and PrEP prescribing. Our study population comprised 62 primary care providers, of whom 61% were female, 60% were non-Hispanic White, 76% were physicians (76%), 57% had ≥ 10 years of practice experience, 45% reported low self-rated PrEP knowledge, and 35% prescribed PrEP in the past year. Providers with low PrEP knowledge had 69% lower odds of prescribing PrEP within the past year (OR = 0.31, 95% PL: 0.12, 0.82). Eligibility for PrEP, side effects and adherence concerns were key unmet knowledge needs. Our findings suggest that low provider PrEP knowledge may be a barrier to PrEP prescribing among safety-net PCPs. Our results provide insight about specific educational needs of PCPs in a safety-net health system, which are amenable to educational intervention.

Smoking cessation and survival among people diagnosed with non-metastatic cancer.

BACKGROUND: We aimed to estimate the effects of smoking cessation on survival among people diagnosed with cancer. METHODS: We used data from a Comprehensive Community Cancer Program that is part of a large urban safety-net hospital system. Eligible patients were diagnosed with primary invasive solid tumors between 2013 and 2015, and were current smokers at time of diagnosis. Our exposure of interest was initiation of smoking cessation within 6 months of cancer diagnosis. We estimated inverse probability weighted restricted mean survival time (RMST) differences and risk ratio (RR) for all cause 3-year mortality. RESULTS: Our study population comprised 369 patients, of whom 42% were aged < 55 years, 59% were male, 44% were racial/ethnic minorities, and 59% were uninsured. The 3-year RMST was 1.8 (95% CL: - 1.5, 5.1) months longer for individuals who initiated smoking cessation within 6 months of cancer diagnosis. The point estimate for risk of 3-year mortality was lower for initiation of smoking cessation within 6 months of diagnosis compared with no initiation within 6 months (RR = 0.72, 95% CL: 0.37, 1.4). CONCLUSIONS: Our point estimates suggest longer 3-year survival, but the results are compatible with 1.5 month shorter or 5.1 longer 3-year overall survival after smoking cessation within 6 months of cancer diagnosis. Future studies with larger sample sizes that test the comparative effectiveness of different smoking cessation strategies are needed for more detailed evidence to inform decision-making about the effect of smoking cessation on survival among cancer patients. IMPLICATIONS FOR CANCER SURVIVORS: The benefits of smoking cessation after cancer diagnosis may include longer survival, but the magnitude of benefit is unclear.

The effect of insurance status on overall survival among children and adolescents with cancer.

BACKGROUND: Differences in access, delivery and utilisation of health care may impact childhood and adolescent cancer survival. We evaluated whether insurance coverage impacts survival among US children and adolescents with cancer diagnoses, overall and by age group, and explored potential mechanisms. METHODS: Data from 58 421 children (aged ≤14 years) and adolescents (15-19 years), diagnosed with cancer from 2004 to 2010, were obtained from the National Cancer Database. We examined associations between insurance status at initial diagnosis or treatment and diagnosis stage; any treatment received; and mortality using logistic regression, Cox proportional hazards (PH) regression, restricted mean survival time (RMST) and mediation analyses. RESULTS: Relative to privately insured individuals, the hazard of death (all-cause) was increased and survival months were decreased in those with Medicaid [hazard ratio (HR) = 1.27, 95% confidence interval (CI): 1.22 to 1.33; and -1.73 months, 95% CI: -2.07 to -1.38] and no insurance (HR = 1.32, 95% CI: 1.20 to 1.46; and -2.13 months, 95% CI: -2.91 to -1.34). The HR for Medicaid vs. private insurance was larger (pinteraction <0.001) in adolescents (HR = 1.52, 95% CI: 1.41 to 1.64) than children (HR = 1.16, 95% CI: 1.10 to 1.23). Despite statistical evidence violation of the PH assumption, RMST results supported all interpretations. Earlier diagnosis for staged cancers in the Medicaid and uninsured populations accounted for an estimated 13% and 19% of the survival deficit, respectively, vs. the privately insured population. Any treatment received did not account for insurance-associated survival differences in children and adolescents with cancer. CONCLUSIONS: Children and adolescents without private insurance had a higher risk of death and shorter survival within 5 years following cancer diagnosis. Additional research is needed to understand underlying mechanisms.

Adult Cancer Survivors' Engagement and Interest in Patient-Centered Research.

BACKGROUND: Limited information is available about the representativeness of survivors engaging in patient-centered research, despite the potential for threats to generalizability. We thus aimed to assess the representativeness of survivors engaged or interested in research development. METHODS: We used data from the Health Information National Trends Survey, a nationally representative survey, to identify survivors of adult cancers. Our outcomes of interest were based on responses to questions about engagement or interest in developing patient-centered research. We estimated the ratio of relative frequencies (RRF) and corresponding 95% confidence limits (CL) of sociodemographic and survivorship characteristics between survivors engaged or interested in patient-centered research and the overall survivor population. RESULTS: Our study population comprised 934 survivors, of whom 5% reported being engaged in patient-centered research and 26% reported an interest in participating. Relative frequencies of characteristics were discordant for engaged survivors but largely similar for interested survivors compared with all survivors. In particular, engaged survivors had a higher relative frequency of individuals ages 50 to 64 years (RRF = 1.7; 95% CL, 1.1-2.5), Hispanic (RRF = 2.9; 95% CL, 1.2-6.9), non-Hispanic Black (RRF = 2.9; 95% CL, 1.1-2.5), and unemployment (RRF = 4.7; 95% CL, 1.4-16). CONCLUSIONS: We observed several meaningful differences in the characteristics of survivors engaged in patient-centered research compared with all survivors, which raises concerns about the generalizability of findings from such studies. IMPACT: Patient-centered research may not benefit the broader survivor community if survivors engaging in research development are not representative of all survivors. Greater attention to recruiting mechanisms is necessary to avoid creating disparities.

Affordable Care Act and cancer stage at diagnosis in an underserved population.

The Patient Protection and Affordable Care Act (ACA) has increased insurance coverage among underserved individuals, but the effect of ACA on cancer diagnosis is currently debated, particularly in Medicaid non-expansion states. Therefore, we aimed to assess the effect of ACA implementation on stage at diagnosis among underserved cancer patients in Texas, a Medicaid non-expansion state. We used data from the institutional registry of the JPS Center for Cancer Care, which serves an urban population of underserved cancer patients. Eligible individuals were aged 18 to 64 years and diagnosed with a first primary invasive solid tumor between 2008 and 2015. We used a natural experiment framework and interrupted time-series analysis to assess level (i.e. immediate) and slope (over time) changes in insurance coverage and cancer stage at diagnosis between pre- and post-ACA periods. Our study population comprised 4808 underserved cancer patients, of whom 51% were racial/ethnic minorities. The prevalence of uninsured cancer patients did not immediately change after ACA implementation but modestly decreased over time (PR = 0.94; 95% CL: 0.90, 0.98). The prevalence of early- and advanced-stage diagnosis did not appreciably change overall or when stratified by screen-detectable cancers. Our results suggest that ACA implementation decreased the prevalence of uninsured cancer patients but had little effect on cancer stage at diagnosis in an underserved population. Given that Texas is a Medicaid non-expansion state, Medicaid expansion and alternative approaches may need to be further explored to improve earlier cancer diagnosis among underserved individuals.