Increasing Lung Cancer Screening for High-Risk Smokers in a Frontier Population.

Northern Plains American Indians (AIs) have some of the highest smoking and lung cancer mortality rates in the USA. They are a high-risk population in which many are eligible for low-dose computed tomography (LDCT) screening, but such screening is rarely used. This study investigated methods to increase LDCT utilization through both a provider and community intervention to lower lung cancer mortality rates. This study used the Precaution Adoption Model for provider and community interventions implemented in four study regions in western South Dakota. The goal was to increase LDCT screening for eligible participants. Intake surveys and LDCT screenings were compared at baseline and 6 months following the education programs for both interventions. A total of 131 providers participated in the provider intervention. At the 6-month follow-up survey, 31 (63%) referred at least one patient for LDCT (p < 0.05). Forty (32.3%) community participants reported their provider recommended an LDCT and of those, 30(75%) reported getting an LDCT (p < 0.05). A total of 2829 patient surveys were completed at the imaging sites and most (88%, n = 962) cited provider recommendation as their reason for obtaining an LDCT. Almost half (46%; n = 131) of the referring providers attended a provider education workshop, and 73% of the providers worked at a clinic that hosted at least one community education session. Over the study period, LDCT utilization increased from 640 to 1706, a 90.9% increase. The provider intervention had the strongest impact on LDCT utilization. This study demonstrated increased LDCT utilization through the provider intervention but increases also were documented for the other intervention combinations. The community-based education program increased both community and provider awareness on the value of LDCTs to lower lung cancer mortality rates.

Sensitivity of US Preventive Services Task Force and PLCOm2012 lung cancer screening eligibility criteria in individuals with lung cancer in South Dakota self-reporting as Indigenous and non-Indigenous.

BACKGROUND: Lung cancer is the leading cause of cancer deaths. Screening individuals who are at elevated risk using low-dose computed tomography reduces lung cancer mortality by ≥20%. Individuals who have community-based factors that contribute to an increased risk of developing lung cancer have high lung cancer rates and are diagnosed at younger ages. In this study of lung cancer in South Dakota, the authors compared the sensitivity of screening eligibility criteria for self-reported Indigenous race and evaluated the need for screening at younger ages. METHODS: US Preventive Services Task Force (USPSTF) 2013 and 2021 (USPSTF2013 and USPSTF2021) criteria and two versions of the PLCOm2012 risk-prediction model (based on the 2012 Prostate, Lung, Colorectal, and Ovarian [PLCO] Cancer Screening Trial), one with a predictor for race and one without, were applied at USPSTF-equivalent thresholds of ≥1.7% in 6 years and ≥1.0% in 6 years to 1565 individuals who were sequentially diagnosed with lung cancer (of whom 12.7% self-reported as Indigenous) at the Monument Health Cancer Care Institute in South Dakota (2010-2019). RESULTS: Eligibility sensitivities of USPSTF criteria did not differ significantly between individuals who self-reported their race as Indigenous and those who did not (p > .05). Sensitivities of both PLCOm2012 models were significantly higher than comparable USPSTF criteria. The sensitivity of USPSTF2021 criteria was 66.1% and, for comparable PLCOm2012 models with and without race, sensitivity was 90.7% and 89.6%, respectively (both p < .001); 1.4% of individuals were younger than 50 years, and proportions did not differ by Indigenous classification (p = .518). CONCLUSIONS: Disparities in screening eligibility were not observed for individuals who self-reported their race as Indigenous. USPSTF criteria had lower sensitivities for lung cancer eligibility. Both PLCOm2012 models had high sensitivities, with higher sensitivity for the model that included race. The PLCOm2012noRace model selected effectively in this population, and screening individuals younger than 50 years did not appear to be justified. PLAIN LANGUAGE SUMMARY: Lung cancer is the leading cause of cancer deaths. Studies show that using low-dose computed tomography scans to screen people who smoke or who used to smoke and are at elevated risk for lung cancer reduces lung cancer deaths. This study of 1565 individuals with lung cancer in South Dakota compared screening eligibility using US Preventive Services Task Force (USPSTF) criteria and a lung cancer risk-prediction model (PLCOm2012; from the 2012 Prostate, Lung, Colorectal, and Ovarian [PLCO] Cancer Screening Trial). The model had higher sensitivity and picked more people with lung cancer to screen compared with USPSTF criteria. Eligibility sensitivities were similar for individuals who self-reported as Indigenous versus those who did not between USPSTF criteria and the model.

The Impact of Within-Consultation and Preconsultation Decision Aids for Localized Prostate Cancer on Patient Knowledge: Results of a Patient-Level Randomized Trial.

OBJECTIVE: To evaluate the role of timing (either before or during initial consultation) on the effectiveness of decision aids (DAs) to support shared-decision-making in a minority-enriched sample of patients with localized prostate cancer using a patient-level randomized controlled trial design. METHODS: We conducted a 3-arm, patient-level-randomized trial in urology and radiation oncology practices in Ohio, South Dakota, and Alaska, testing the effect of preconsultation and within-consultation DAs on patient knowledge elements deemed essential to make treatment decisions about localized prostate cancer, all measured immediately following the initial urology consultation using a 12-item Prostate Cancer Treatment Questionnaire (score range 0 [no questions correct] to 1 [all questions correct]), compared to usual care (no DAs). RESULTS: Between 2017 and 2018, 103 patients-including 16 Black/African American and 17 American Indian or Alaska Native men-were enrolled and randomly assigned to receive usual care (n = 33) or usual care and a DA before (n = 37) or during (n = 33) the consultation. After adjusting for baseline characteristics, there were no statistically significant proportional score differences in patient knowledge between the preconsultation DA arm (0.06 knowledge change, 95% CI -0.02 to 0.12, P = .1) or the within-consultation DA arm (0.04 knowledge change, 95% CI -0.03 to 0.11, P = .3) and usual care. CONCLUSION: In this trial oversampling minority men with localized prostate cancer, DAs presented at different times relative to the specialist consultation showed no improvement in patient knowledge above usual care.

Innovation in a Crisis: Lessons Learned from the Rapid Development of an End-of-Life Palliative Care Unit during the COVID-19 Pandemic.

COVID-19 strained our nation's hospitals and exposed gaps in care. As COVID-19 surged in Boston in March 2020, we worked to rapidly create a Palliative Care Compassion Unit (PCCU) to care for those dying of COVID-19 or non-COVID-19-related illnesses. The PCCU provided interdisciplinary end-of-life care, supported families, and enabled surge teams to focus on patients needing life-sustaining treatments. In this study, we describe the creation of the PCCU, including opportunities and challenges, in hopes of lending insight to other palliative care teams who may need to rapidly craft new care models during a crisis.

A randomized trial to reduce smoking among American Indians in South Dakota: The walking forward study.

BACKGROUND: Lung cancer is an important public health issue, particularly among American Indians (AIs). The reported decline in tobacco use for most racial/ethnic groups is not observed among AIs. This project was designed to address the research question, "Why don't more Northern Plains American Indians alter tobacco use behaviors known to increase the risk of cancer?" METHODS: Guided by the Theory of Planned Behavior, a multi-component intervention study was implemented. Adult AIs, age 18 years or older and currently smoking, were enrolled. Eligible subjects were randomized to one of 15 groups and exposed to either a MINIMAL or an INTENSE level of 4 intervention components. The intervention was delivered face-to-face or via telephone by Patient Navigators (PN). The primary outcome was self-reported abstinence from smoking verified by carbon monoxide measurement. RESULTS: At 18 months post-quit date, 88% of those who were still in the study were abstinent. This included 6% of all participants who enrolled in the study (14/254) and 13% of those who made it to the quit date (14/108). No intervention groups were found to have significant proportions of participants who were abstinent from smoking at the quit date (visit 5) or primary outcome visit (18 months post-quit date, visit 11), but use of pharmacologic support for abstinence was found to be an effective strategy for individuals who continued participation throughout the study. Those who remained in the study received more visits and were more likely to be abstinent. CONCLUSIONS: Use of NRT increased the odds of not smoking, as assessed at the 18-month follow-up visit, but no other interventions were found to significantly contribute to abstinence from smoking. Although the intervention protocol included numerous points of contact between CRRs and participants (11 visits) loss to follow-up was extensive with only 16/254 remaining enrolled. Additional research is needed to improve understanding of factors that influence enrollment and retention in smoking cessation interventions for AI and other populations.

Reality Versus Grant Application Research "Plans".

This article describes the implementation of the American Indian mHealth Smoking Dependence Study focusing on the differences between what was written in the grant application compared to what happened in reality. The study was designed to evaluate a multicomponent intervention involving 256 participants randomly assigned to one of 15 groups. Participants received either a minimal or an intense level of four intervention components: (1) nicotine replacement therapy, (2) precessation counseling, (3) cessation counseling, and (4) mHealth text messaging. The project team met via biweekly webinars as well as one to two in-person meetings per year throughout the study. The project team openly shared progress and challenges and collaborated to find proactive solutions to address challenges as compared to what was planned in the original grant application. The project team used multiple strategies to overcome unanticipated intervention issues: (1) cell phone challenges, (2) making difficult staffing decisions, (3) survey lessons, (4) nicotine replacement therapy, (5) mHealth text messages, (6) motivational interviewing counseling sessions, and (7) use of e-cigarettes. Smoking cessation studies should be designed based on the grant plans. However, on the ground reality issues needed to be addressed to assure the scientific rigor and innovativeness of this study.

Assessing HPV and Cervical Knowledge, Preference and HPV Status Among Urban American Indian Women.

INTRODUCTION: To evaluate whether or not an educational intervention would lead to a change in knowledge and attitudes about human papillomavirus (HPV), HPV vaccines, and cervical cancer. The HPV status was also investigated for interested participants. METHODS: We provided HPV and cervical cancer education to urban American Indian (AI) women 18 and older using a pre and post-knowledge exam to assess knowledge and attitudes. Women were also given the option to perform vaginal self-tests for high risk HPV (hrHPV) analysis immediately after the education. RESULTS: Ninety-six women participated in our educational sessions. Improvement in performance on a knowledge exam increased from 61.6 to 84.3 percent. Ninety-three women performed the vaginal self-test with 63.1 percent of women preferring vaginal self-testing over conventional screening methods. Thirty-five out of 91 women (38.5 percent) had hrHPV types with 12 of the 35 harboring multiple hrHPV types (13 percent overall). CONCLUSION: HPV and cervical cancer education was beneficial for urban AI women with the majority of women preferring vaginal self-testing. HPV self-testing may be a strategy to improve screening rates for cervical cancer. Urban AI women had high rates of hrHPV compared to rural AI populations as reported in previous studies.

A pre-post survey analysis of satisfaction with health care and medical mistrust after patient navigation for American Indian cancer patients.

PURPOSE: To assess the impact of patient navigation (PN) on satisfaction with health care and medical mistrust among American Indians (AI) undergoing cancer treatment. METHODS: This was a pre-post cohort survey study of 52 AI cancer patients who participated in a culturally-tailored PN program during their cancer treatment. Surveys were administered prior to and after cancer treatment assessing medical mistrust and satisfaction with health care using two Likert-type scales. RESULTS: Participation refusal rate was 7%. Mean scale scores for satisfaction with health care were significantly improved after PN compared with pre-navigation (p<.0001; Wilcoxon signed-rank test). There was no significant difference in the mean scale scores for medical mistrust after PN compared with those observed prior to treatment (p=.13). CONCLUSIONS: American Indian cancer patients who received PN services during their cancer treatment showed improvement in levels of satisfaction with health. However, no improvements were observed in levels of medical mistrust.

Assessing cancer stage and screening disparities among Native American cancer patients.

OBJECTIVE: Disparities in cancer-related health outcomes exist among Native Americans. This article assesses barriers to timely and effective cancer care among Native American cancer patients. METHODS: We conducted a community-based participatory survey of newly diagnosed cancer patients to assess their basic knowledge of cancer screening and their beliefs about cancer management. Sociodemographic and cancer-related information was obtained from medical records. Mean scores for correct answers to the screening knowledge battery were tabulated and analyzed by race/ethnicity and sociodemographic characteristics. Multivariable regression models were used to adjust for sociodemographic characteristics in evaluating the association between screening knowledge and race/ethnicity. RESULTS: The survey response rate was 62%. Of 165 patients, 52 were Native American and 113 were white. Native Americans with cancers for which a screening test is available presented with significantly higher rates of advanced-stage cancer (p=0.04). Native Americans scored lower on the cancer screening knowledge battery (p=0.0001). In multivariable analyses adjusting for age, gender, income, education level, employment status, and geographic distance from the cancer center, Native American race/ethnicity was the only factor significantly predictive of lower screening knowledge. Native Americans expressed more negative attitudes toward cancer treatment in some of the items regarding impacts and burden of cancer treatment. CONCLUSIONS: Native American cancer patients presented with higher rates of advanced-stage disease for screening-detectable cancers, lower levels of basic cancer screening knowledge, and more negative attitudes about cancer treatment than white patients. Public health interventions regarding screening and cancer education are needed.

Medical mistrust and less satisfaction with health care among Native Americans presenting for cancer treatment.

PURPOSE: To assess barriers to cancer care among Native Americans, whose health outcomes compare unfavorably with those of the general U.S. population. METHODS AND PATIENTS: We undertook a comparative community-based participatory research project in which newly-diagnosed cancer patients were prospectively surveyed using novel scales for medical mistrust and satisfaction with health care. Socio-demographic information was obtained. Mean scale scores for mistrust and satisfaction were analyzed by race. Multivariable models were used to adjust for income, education level, and distance lived from cancer care institute. RESULTS: Participation refusal rate was 38%. Of 165 eligible patients, 52 were Native American and 113 where non-Hispanic White. Native Americans expressed significantly higher levels of mistrust (p=0001) and lower levels of satisfaction (p=.0001) with health care than Whites. In multivariable analyses, race was the only factor found to be significantly predictive of higher mistrust and lower satisfaction scores. CONCLUSION: Native Americans exhibit higher medical mistrust and lower satisfaction with health care.

Establishing a patient navigator program to reduce cancer disparities in the American Indian communities of Western South Dakota: initial observations and results.

BACKGROUND: American Indians (AIs) in the Northern Plains region suffer disproportionately high cancer mortality rates compared with the general US population and with AIs from other regions in the United States. METHODS: The National Cancer Institute developed the Cancer Disparity Research Partnership to address these inequities. This initiative in Rapid City, South Dakota, attempts to lower cancer mortality rates for AIs by access to innovative clinical trials, behavioral research, and a genetic study. Patient navigation is a critical part of the program. Two navigation strategies are described: navigators at the cancer center and navigators on each reservation. A retrospective analysis was performed to determine if navigated patients (n = 42) undergoing potentially curative radiotherapy had fewer treatment interruptions compared with nonnavigated patients (n = 74). RESULTS: A total of 213 AIs with cancer have undergone patient navigation. For those undergoing cancer treatment, the median number of patient navigation interactions was 15 (range 1 to 95), whereas for those seen in follow-up after their cancer treatment, the median number of contacts was 4 (range 1 to 26). AIs who received navigation services during curative radiation treatment had on average 3 fewer days of treatment interruptions compared to AIs who did not receive navigation services during curative radiation treatment (P = .002, N = 116). CONCLUSIONS: Early findings suggest that patient navigation is a critical component in addressing cancer disparities in this population. The program has established trust with individual cancer patients, with the tribal councils, and with the general population on each of the three reservations of western South Dakota.