Factors leading to disparity in lung cancer diagnosis among black/African American communities in the USA: a qualitative study.

OBJECTIVE: This study has two objectives: first, to explore the diagnostic experiences of black/African American (BAA) patients with lung cancer to pinpoint pitfalls, suboptimal experiences and instances of discrimination leading to disparities in outcomes compared with patients of other ethnic backgrounds, especially white patients. The second objective is to identify the underlying causes contributing to health disparities in the diagnosis of lung cancer among BAA patients. METHODS: We employed a phenomenological research approach, guiding in-depth interviews with patients self-identifying as BAA diagnosed with lung cancer, as well as caregivers, healthcare professionals and community advocates knowledgeable about BAA experiences with lung cancer. We performed thematic analysis to identify experiences at patient, primary care and specialist levels. Contributing factors were identified using the National Institute of Minority Health and Health Disparities (NIMHD) health disparity model. RESULTS: From March to November 2021, we conducted individual interviews with 19 participants, including 9 patients/caregivers and 10 providers/advocates. Participants reported recurring and increased pain before seeking treatment, treatment for non-cancer illnesses, delays in diagnostic tests and referrals, poor communication and bias when dealing with specialists and primary care providers. Factors contributing to suboptimal experiences included reluctance by insurers to cover costs, provider unwillingness to conduct comprehensive testing, provider bias in recommending treatment, high healthcare costs, and lack of healthcare facilities and qualified staff to provide necessary support. However, some participants reported positive experiences due to their insurance, availability of services and having an empowered support structure. CONCLUSIONS: BAA patients and caregivers encountered suboptimal experiences during their care. The NIMHD model is a useful framework to organise factors contributing to these experiences that may be leading to health disparities. Additional research is needed to fully capture the extent of these experiences and identify ways to improve BAA patient experiences in the lung cancer diagnosis pathway.

Previous Health Care Experiences' Influence on Health Care Perceptions Among Residents of Six Homeless Shelters in Seattle, Washington, July-October 2021.

Purpose: The study purpose was to learn and describe 1) where homeless shelter residents receive health care, 2) what contributes to positive or negative health care experiences among shelter residents, and 3) shelter resident perceptions toward health care. Methods: Semi-structured interviews (SSIs) utilizing purposive sampling and focus group discussions (FGDs) utilizing convenience sampling were conducted at 6 homeless shelters in Seattle-King County, Washington, during July-October 2021. All residents (age ≥18) were eligible to participate. SSIs were conducted with 25 residents, and 8 FGDs were held. Thematic analysis was conducted using Dedoose. Results: Participants received health care in settings ranging from no regular care to primary care providers. Four elements emerged as contributing positively and negatively to health care experiences: 1) ability to access health care financially, physically, and technologically; 2) clarity of communication from providers and staff about appointment logistics, diagnoses, and treatment options; 3) ease of securing timely follow-up services; and 4) respect versus stigma and discrimination from providers and staff. Participants who felt positively toward health care found low- or no-cost care to be widely available and encouraged others to seek care. However, some participants described health care in the United States as greedy, classist, discriminatory, and untrustworthy. Participants reported delaying care and self-medicating in anticipation of discrimination. Conclusions: Findings demonstrate that while people experiencing homelessness can have positive experiences with health care, many have faced negative interactions with health systems. Improving the patient experience for those experiencing homelessness can increase engagement and improve health outcomes.

Trends and factors associated with change in COVID-19 vaccination intent among residents and staff in six Seattle homeless shelters, March 2020 to August 2021.

Introduction: Achieving high COVID-19 vaccination coverage in homeless shelters is critical in preventing morbidity, mortality, and outbreaks, however, vaccination coverage remains lower among people experiencing homelessness (PEH) than the general population. Methods: We conducted a cross-sectional study to retrospectively describe attitudes and identify factors associated with change in COVID-19 vaccination intent among shelter residents and staff during March 2020 - August 2021. To identify factors associated with change in COVID-19 vaccine intent becoming more positive overall compared to other attitudes, we utilized a Poisson model to calculate Risk Ratios with robust standard errors, adjusting for confounding by shelter site and demographic variables determined a priori. Results: From July 12 - August 2, 2021, 97 residents and 20 staff participated in surveys across six shelters in Seattle King County, Washington. Intent to be vaccinated against COVID-19 increased from 45.3 % (n = 53) when recalling attitudes in March 2020 to 74.4 % (n = 87) as of August 2021, and was similar among residents and staff. Many participants (43.6 %, n = 51) indicated feeling increasingly accepting about receiving a COVID-19 vaccine since March 2020, while 13.7 % (n = 16) changed back and forth, 10.3 % (n = 12) became more hesitant, and 32.5 % (n = 38) had no change in intent. In the model examining the relationship between becoming more positive about receiving a COVID-19 vaccine compared to all other attitudes (n = 116), we found a 57.2 % increase in vaccine acceptability (RR 1.57; 95 % CI: 1.01, 2.45) among those who reported worsening mental health since the start of the pandemic. Conclusions: Findings highlight opportunities to improve communication with residents and staff about COVID-19 vaccination and support a need for continued dialogue and a person-centered approach to understanding the sociocultural complexities and dynamism of vaccine attitudes at shelters.Clinical Trial Registry Number: NCT04141917.

Telepsychiatric Consultation as a Training and Workforce Development Strategy for Rural Primary Care.

PURPOSE: There is a shortage of rural primary care personnel with expertise in team care for patients with common mental disorders. Building the workforce for this population is a national priority. We investigated the feasibility of regular systematic case reviews through telepsychiatric consultation, within collaborative care for depression, as a continuous training and workforce development strategy in rural clinics. METHODS: We developed and pilot-tested a qualitative interview guide based on a conceptual model of training and learning. We conducted individual semistructured interviews in 2018 with diverse clinical and nonclinical staff at 3 rural primary care sites in Washington state that used ongoing collaborative care and telepsychiatric consultation. Two qualitative researchers independently analyzed transcripts with iterative input from other research team members. RESULTS: A total of 17 clinical, support, and administrative staff completed interviews. Participants' feedback supported the view that telepsychiatric case review-based consultation enhanced skills of diverse clinical team members over time, even those who had not directly participated in case reviews. All interviewees identified specific ways in which the consultations improved their capacity to identify and treat psychiatric disorders. Perceived benefits in implementation and sustainability included fidelity of the care process, team resilience despite member turnover, and enhanced capacity to use quality improvement methods. CONCLUSIONS: Weekly systematic case reviews using telepsychiatric consultation served both as a model for patient care and as a training and workforce development strategy in rural primary care sites delivering collaborative care. These are important benefits to consider in implementing the collaborative care model of behavioral health integration.

Billing by residents and attending physicians in family medicine: the effects of the provider, patient, and visit factors.

BACKGROUND: Medical billing and coding are critical components of residency programs since they determine the revenues and vitality of residencies. It has been suggested that residents are less likely to bill higher evaluation and management (E/M) codes compared with attending physicians. The purpose of this study is to assess the variation in billing patterns between residents and attending physicians, considering provider, patient, and visit characteristics. METHOD: A retrospective cohort study of all established outpatient visits at a family medicine residency clinic over a 5-year period was performed. We employed the logistic regression methodology to identify residents' and attending physicians' variations in coding E/M service levels. We also employed Poisson regression to test the sensitivity of our result. RESULTS: Between January 5, 2009 and September 25, 2015, 98,601 visits to 116 residents and 18 attending physicians were reviewed. After adjusting for provider, patient, and visit characteristics, residents billed higher E/M codes less often compared with attending physicians for comparable visits. In comparison with attending physicians, the odds ratios for billing higher E/M codes were 0.58 (p = 0.01), 0.56 (p = 0.01), and 0.63 (p = 0.01) for the third, second, and first years of postgraduate training, respectively. In addition to the main factors of patient age, medical conditions, and number of addressed problems, the gender of the provider was also implicated in the billing variations. CONCLUSION: Residents are less likely to bill higher E/M codes than attending physicians are for similar visits. While these variations are known to contribute to lost revenues, further studies are required to explore their effect on patient care in relation to attendings' direct involvement in higher E/M-coded versus their indirect involvement in lower E/M-coded visits.

The effects of state rules on opioid prescribing in Indiana.

BACKGROUND: Prescription opioids have been linked to over half of the 28,000 opioid overdose deaths in 2014. High rates of prescription opioid non-medical use have continued despite nearly all states implementing large-scale prescription drug monitoring programs (PDMP), which points to the need to examine the impact of state PDMP's on curbing inappropriate opioid prescribing. In the short-term, PDMPs have been associated with short-term prescribing declines. Yet little is known about how such policies differentially impact patient subgroups or are interpreted by prescribing providers. Our objective was to compare volumes of prescribed opioids before and after Indiana implemented opioid prescribing emergency rules and stratify the changes in opioid prescribing by patient and provider subgroups. METHODS: An interrupted time series analysis was conducted using data obtained from the Indiana PDMP. Prescription level data was merged with census data to characterize patient socioeconomic status. Analyses were stratified by patients' gender, age, opioid dosage, and payer. The primary outcome indicator was the total morphine equivalent dose (MED) of dispensed opioids per day in the state of Indiana. Also considered were number of unique patients, unique providers, and prescriptions; MED per transaction and per day; and number of days supplied. RESULTS: After controlling for time trends, we found that total MED for opioids decreased after implementing the new emergency rules, differing by patient gender, age, and payer. The effect was larger for males than females and almost 10 times larger for 0-20 year olds as compared to the 60+ age range. Medicare and Medicaid patients experienced more decline in prescribing than patients with private insurance. Patients with prescriptions paid for by workers' comp experienced the most significant decline. The emergency rules were associated with decline in both the number of prescribers and the number of day supply. CONCLUSIONS: Although the Indiana opioid prescribing emergency rules impacted statewide prescribing behavior across all individual patient and provider characteristics, the emergency rules' effect was not consistent across patient characteristics. Further studies are needed to assess how individual patient characteristics influence the interpretation and application of state policies on opioid prescribing.