Is gender dysphoria associated with increased hospital cost per stay among patients hospitalized for depression? Focus on the racial and regional variance in US hospitals.

Introduction: Individuals with gender dysphoria do not identify with their sex assigned at birth and face societal and cultural challenges, leading to increased risk for depression, anxiety, and suicide. Gender dysphoria is a DSM-5 diagnosis but is not necessary for transition therapy. Additionally, individuals with gender dysphoria or who identify as gender diverse/nonconforming may experience "minority stress" from increased discrimination, leading to a greater risk for mental health problems. This study aimed to identify possible health disparities in patients hospitalized for depression with gender dysphoria across the United States. Depression was selected because patients with gender dysphoria are at an increased risk for it. Various patient and hospital-related factors are explored for their association with changes in healthcare utilization for patients hospitalized with depression. Methods: The National Inpatient Sample was used to identify nationwide patients with depression (n = 378,552, weighted n = 1,892,760) from 2016 to 2019. We then examined the characteristics of the study sample and investigated how individuals' gender dysphoria was associated with healthcare utilization measured by hospital cost per stay. Multivariate survey regression models were used to identify predictors. Results: Among the 1,892,760 total depression inpatient samples, 14,145 (0.7%) patients had gender dysphoria (per ICD-10 codes). Over the study periods, depression inpatients with gender dysphoria increased, but total depression inpatient rates remained stable. Survey regression results suggested that gender dysphoria, minority ethnicity or race, female sex assigned at birth, older ages, and specific hospital regions were associated with higher hospital cost per stay than their reference groups. Sub-group analysis showed that the trend was similar in most racial and regional groups. Conclusion: Differences in hospital cost per stay for depression inpatients with gender dysphoria exemplify how this community has been disproportionally affected by racial and regional biases, insurance denials, and economic disadvantages. Financial concerns can stop individuals from accessing gender-affirming care and risk more significant mental health problems. Increased complexity and comorbidity are associated with hospital cost per stay and add to the cycle.

Hypertension Medication and Medicare Beneficiaries: Prescription Drug Coverage Satisfaction and Medication Non-Adherence among Older Adults.

Hypertension is so prevalent and requires strict adherence to medications to prevent further disease or death, but there is no study examining factors related to prescription drug non-adherence among 65 years old and older. This study aims to assess the likelihood of medication nonadherence among patients based on factors such as age, race, and socioeconomic status, with the goal of identifying strategies to enhance medication adherence and mitigate associated health risks. Using the 2020 Medicare Current Beneficiary Survey Public Use File to represent nationwide Medicare beneficiaries (unweighted n = 3917, weighted n = 27,134,782), medication non-adherence was related to multiple independent variables (i.e., age, sex, race/ethnicity, socioeconomic status, comorbidities, insurance coverage, and satisfaction with insurance). Cross-tabulations and Wald chi-square tests were used to determine how much each variable was related to non-adherence. Multivariate logistic regression was used to examine the association between medication non-adherence and factors such as prescription drug coverage satisfaction and cost-reducing behavior. Specific trends in medication non-adherence emerged among beneficiaries. Non-adherence was higher in older adults aged 65- to 74-year-olds and those with more chronic conditions (OR = 2.24; 95% CI = 1.74-2.89). If patients were dissatisfied with the medications on the insurance formulary or struggled to find a pharmacy that accepted their medication coverage, they had worse adherence (OR = 2.63; 95% CI = 1.80-3.84). Formulary and coverage must be expanded to improve adherence to antihypertensive medications in Medicare beneficiaries. Older adults aged 65 to 74 years may be less adherent to their medications because they do not see the seriousness of the disease and could benefit from further counseling. Patients with limited activities of daily living and more comorbidities may struggle with complex treatment regimens and should use adherence assistance tools.

Are comorbidities associated with differences in healthcare charges among lung cancer patients in US hospitals? Focusing on variances by patient and socioeconomic factors.

OBJECTIVE: The clinical aspects of lung cancer patients are well-studied. However, healthcare charge patterns have yet to be explored through a large-scale representative population-based sample investigating differences by socioeconomic factors and comorbidities. AIM: To identify how comorbidities associated with healthcare charges among lung cancer patients. METHODS: We examined the characteristics of the patient sample and the association between comorbidity status (diabetes, hypertension, or both) and healthcare charge. Multivariate survey linear regression models were used to estimate the association. We also investigated sub-group association through various patient and socioeconomic factors. RESULTS: Of 212,745 lung cancer patients, 68.5% had diabetes and/or hypertension. Hospital charges were higher in the population with comorbidities. The results showed that lung cancer patients with comorbidities had 9.4%, 5.1%, and 12.0% (with diabetes, hypertension, and both, respectively) higher hospital charges than those without comorbidities. In sub-group analysis, Black patients also showed a similar trend across socioeconomic (i.e. household income and primary payer) and racial (i.e. White, Black, Hispanic, and Asian/Pacific Islander) factors. DISCUSSION: Black patients may be significantly financially burdened because of the prevalence of comorbidities and low-income status. More work is required to ensure healthcare equality and promote access to care for the uninsured, low-income, and minority populations because comorbidities common in these populations can create more significant financial barriers.

Madrid Newborn Sickle Cell Disease Cohort: clinical outcomes, stroke prevention and survival.

In May 2003, Madrid established the universal newborn screening (NBS) for sickle cell disease (SCD). However, there are no studies resembling the evolution of a SCD neonate cohort followed according to national guidelines in Spain. The aim of this study is to describe the morbimortality and the stroke prevention programme in patients diagnosed by SCD NBS in Madrid. This is a multicentre, observational, prospective cohort study between 2003 and 2018; 187 patients diagnosed with SCD were included (151 HbSS, 6 HbSß0, 27 HbSC, 3 HbSß +), and median follow-up was 5.2 years (0.03-14.9). There were 5 deaths: 2 related to SCD in patients with severe genotype (HbSS/HbSß0). Overall survival reached 95% and SCD-related survival 96.8%. The most frequent events were fever without focus, vaso-occlusive crises and acute chest syndromes. Eight strokes occurred in 5 patients which led to a 90.7% stroke-free survival in severe genotype patients (first stroke rate, 0.54 per 100 patient-years). Transcranial Doppler (TCD) was performed in 95% of eligible patients; 75% of children with pathological TCD remained stroke-free. Regarding HbSS/HbSß0 patients, 50.1% received hydroxyurea and 9.5% haematopoietic stem cell transplantation. This study reflects the evolution of Madrid SCD cohort and provides morbimortality data similar to other developed countries.

Vulnerability to Decubitus Ulcers and Their Association With Healthcare Utilization: Evidence From Nationwide Inpatient Sample Dataset From 2016 to 2020 in US Hospitals.

OBJECTIVE: The aim of the study is to identify vulnerable populations at risk of developing decubitus ulcers and their resultant increase in healthcare utilization to promote the use of early prevention methods. METHODS: The National Inpatient Sample of the United States was used to identify hospitalized patients across the country who had a length of stay of 5 or more days (N = 9,757,245, weighted N = 48,786,216) from 2016 to 2020. We examined the characteristics of the entire inpatient sample based on the presence of decubitus ulcers, temporal trends, risk of decubitus ulcer development, and its association with healthcare utilization, measured by discounted hospital charges and length of stay. The multivariate survey logistic regression model was used to identify predictors for decubitus ulcer occurrence, and the survey linear regression model was used to measure how decubitus ulcers are associated with healthcare utilization. RESULTS: Among 48,786,216 nationwide inpatients, 3.9% had decubitus ulcers. The percentage of inpatients with decubitus ulcers who subsequently experienced increased healthcare utilization rose with time. The survey logistic regression results indicate that patients who were Black, older, male, or those reliant on Medicare/Medicaid had a statistically significant increased risk of decubitus ulcers. The survey linear regression results demonstrate that inpatients with decubitus ulcers were associated with increased hospital charges and longer lengths of stay. CONCLUSIONS: Patients with government insurance, those of minority races and ethnicities, and those treated in the Northeast and West may be more vulnerable to pressure ulcers and subsequent increased healthcare utilization. Implementation of early prevention methods in these populations is necessary to minimize the risk of developing decubitus ulcers, even if upfront costs may be increased. For example, larger hospitals were found to have a lower risk of decubitus ulcer development but an increased cost of preventative care. Hence, it is imperative to explore and use universal, targeted preventative methods to improve patient safety.

Factors Associated With In-Hospital Death Among Pneumonia Patients in US Hospitals From 2016~2019.

BACKGROUND: Pneumonia is one of the leading causes of hospital admission in the United States with a global health burden of about 6.8 million hospitalizations and 1.1 million deaths in patients over 65 years old in 2015. This study aimed to identify possible patient and hospital-related risk factors for in-hospital pneumonia death across US hospitals. METHODS: The National Inpatient Sample (NIS) was used to identify nationwide pneumonia patients (n=374 766, weighted n=1 873 828) from 2016 to 2019. We examined the characteristics of the study sample and their association with in-hospital death. Multivariate survey logistic regression models were used to identify risk factors. RESULTS: During the study periods, in-hospital death rates continuously decreased (2.45% in 2016 to 2.19% in 2019). Descriptive statistics showed that patient and hospital factors had varied in-hospital death rates. Survey logistic regression results suggested that male, very low income, non-Medicare, government hospitals, rural hospitals, and specific hospital regions were associated with higher in-hospital death rates than their reference groups. CONCLUSION: Socioeconomic factors, including income and insurance, are associated with pneumonia mortality. Census region, hospital ownership, and rural location are also related to in-hospital mortality. Such findings in underserved, impoverished, and rural areas to identify possible health disparities.

Racial disparity and regional variance in healthcare utilization among patients with lung cancer in US hospitals during 2016-2019.

BACKGROUND: Lung cancer health disparities are related to various patient factors. This study describes regional differences in healthcare utilization and racial characteristics to identify high-risk areas. This study aimed to identify regions and races at greater risk for lung cancer health disparities based on differences in healthcare utilization, measured here by hospital charges and length of stay. METHODS: The National Inpatient Sample of the United States was used to identify patients with lung cancer (n = 92,159, weighted n = 460,795) from 2016 to 2019. We examined the characteristics of the patient sample and the association between the racial and regional variables and healthcare utilization, measured by hospital charges and length of stay. The multivariate sample weighted linear regression model estimated how racial and regional variables are associated with healthcare utilization. RESULTS: Out of 460,795 patients, 76.4% were white, and 40.2% were from the South. The number of lung cancer patients during the study periods was stable. However, hospital charges were somewhat increased, and the length of stay was decreased during the study period. Sample weighted linear regression results showed that Hispanic & Asian patients were associated with 21.1% and 12.3% higher hospital charges than White patients. Compared with the Northeast, Midwest and South were associated with lower hospital charges, however, the West was associated with higher hospital charges. CONCLUSION: Minority groups and regions are at an increased risk for health inequalities because of differences in healthcare utilization. Further differences in utilization by insurance type may exacerbate the situation for some patients with lung cancer. Hospital managers and policymakers working with these patient populations in identified areas should strive to address these disparities through special prevention programs and targeted financial assistance.

Racial and Regional Disparities Surrounding In-Hospital Mortality among Patients with 2019 Novel Coronavirus Disease (COVID-19): Evidence from NIS Sample in 2020.

OBJECTIVE: This study explores differences in COVID-19 in-hospital mortality rates by patient and geographic factors to identify at-risk populations and analyze how strained health disparities were exacerbated during the pandemic. METHODS: The latest 2020 United States National Inpatient Sample (NIS) data was used to obtain a population-based estimate for patients with COVID-19. We conducted a cross-sectional retrospective data analysis, and sampling weights were used for all statistical analyses to represent nationwide in-hospital mortality of patients with COVID-19. We used multivariate logistic regression models to identify predictors for how patients with COVID-19 are associated with in-hospital death. RESULTS: Of 200,531 patients, 88.9% did not have an in-hospital death (n=178,369), and 11.1% had in-hospital death (n=22,162). Patients older than 70 were 10 times more likely to have an in-hospital death than patients younger than 40 (p<0.001). Male patients were 37% more likely to have an in-hospital death than female patients (p<0.001). Hispanic patients were 25% more likely to have in-hospital deaths than White patients (p<0.001). In the sub-analysis, Hispanic patients in the 50-60, 60-70, and 70 age groups were 32%, 34%, and 24%, respectively, more likely to have in-hospital death than White patients (p<0.001). Patients with hypertension and diabetes were 69% and 29%, respectively, more likely to have in-hospital death than patients without hypertension and diabetes. CONCLUSION: Health disparities in the COVID-19 pandemic occurred across races and regions and must be addressed to prevent future deaths. Age and comorbidities like diabetes have a well-established link to increased disease severity, and we have linked both to higher mortality risk. Low-income patients had a significantly increased risk of in-hospital death starting at over 40 years old.

Is patients' rurality associated with in-hospital sepsis death in US hospitals?

Background: The focus of this study was to explore the association of patients' rurality and other patient and hospital-related factors with in-hospital sepsis mortality to identify possible health disparities across United States hospitals. Methods: The National Inpatient Sample was used to identify nationwide sepsis patients (n = 1,977,537, weighted n = 9,887,682) from 2016 to 2019. We used multivariate survey logistic regression models to identify predictors for how patients' rurality is associated with in-hospital death. Findings: During the study periods, in-hospital death rates among sepsis inpatients continuously decreased (11.3% in 2016 to 9.9% in 2019) for all rurality levels. Rao-Schott Chi-Square tests demonstrated that certain patient and hospital factors had varied in-hospital death rates. Multivariate survey logistic regressions suggested that rural areas, minorities, females, older adults, low-income, and uninsured patients have higher odds of in-hospital mortality. Further, specific census divisions like New England, Middle Atlantic, and East North Central had greater in-hospital sepsis death odds. Conclusion: Rurality was associated with increased in-hospital sepsis death across multiple patient populations and locations. Further, rurality in New England, Middle Atlantic, and East North Central locations is exceptionally high odds. In addition, minority races in rural areas also have an increased odds of in-hospital death. Therefore, rural healthcare requires a more significant influx of resources and should also include assessing patient-related factors.

Healthcare Utilization of Patients with Opioid Use Disorder in US Hospitals from 2016 to 2019: Focusing on Racial and Regional Variances.

BACKGROUND: There is a lack of US population-based research on healthcare utilization differences caused by opioid misuse. OBJECTIVE: The aim of this study was to explore disparities in healthcare utilization by type of opioid use disorder, race, region, and other patient factors for a more targeted prevention and treatment program. METHODS: The National Inpatient Sample of the United States was used to identify patients with opioid use disorder (n = 101,231, weighted n = 506,155) from 2016 to 2019. Type of opioid use disorder was defined as opioid dependence/unspecified use, adverse effects of opioids, opioid misuse, and opioid poisoning (also known as overdose). We examined the sample characteristics and the association between type of disorder, racial and regional variables, and healthcare utilization, measured by hospital charges and length of stay. The multivariate survey linear regression model was used. RESULTS: Among 506,155 patients, most were categorized as opioid dependence/unspecified use (56.3%) and opioid poisoning (42.7%). The number of opioid use disorder patients during the study decreased; however, overall total charges and length of stay continuously increased. Survey linear results showed that opioid poisoning, adverse effects, and abuse were associated with higher hospital charges than opioid dependence; however, length of stay was significantly lower for these groups. White patients compared with minorities, and West, Northeast, and South regions were associated with higher hospital charges and length of stay. CONCLUSION: Significant differences in healthcare utilization exist between type of disorder, race, and region. Such findings illustrate that tailored treatment regimens are required to bridge the gaps in care and combat the opioid crisis. Minorities with opioid use disorder utilize healthcare the least, possibly because of affordability, and need culturally sensitive and financially feasible treatment options.

Palliative care and healthcare utilization among deceased metastatic lung cancer patients in U.S. hospitals.

OBJECTIVE: The benefits of palliative care for cancer patients were well developed; however, the characteristics of receiving palliative care and the utilization patterns among lung cancer patients have not been explored using a large-scale representative population-based sample. METHODS: The National Inpatient Sample of the United States was used to identify deceased metastatic lung cancer patients (n = 5,068, weighted n = 25,121) from 2010 to 2014. We examined the characteristics of receiving palliative care use and the association between palliative care and healthcare utilization, measured by discounted hospital charges and LOS (length of stay). The multivariate survey logistic regression model (to identify predictors for receipts of palliative care) and the survey linear regression model (to measure how palliative care is associated with healthcare utilization) were used. RESULTS: Among 25,121 patients, 50.1% had palliative care during the study period. Survey logistic results showed that patients with higher household income were more likely to receive palliative care than those in lower-income groups. In addition, during hospitalization, receiving palliative care was associated with11.2% lower LOS and 28.4% lower discounted total charges than the non-receiving group. CONCLUSION: Clinical evidence demonstrates the benefits of palliative care as it is associated with efficient end-of-life healthcare utilization. Health policymakers must become aware of the characteristics of receiving the care and the importance of limited healthcare resource allocation as palliative care continues to grow in cancer treatment.

Does Geographic Location Affect the Quality of Care? The Difference in Readmission Rates Between the Border and Non-Border Hospitals in Texas.

Purpose: Previous literature has limited empirical evidence describing the association between border location and readmission rates among hospitals in the U.S.-Mexico border region. Thus, our study explores this novel connection in Texas border hospitals using a non-experimental longitudinal study design. Materials and Methods: Using longitudinal panel data (2013~2016) drawn from the American Hospital Association Annual Survey Database, Hospital Compare, and Area Health Resource File, a random-effects linear regression analysis was performed to quantify the impact of border location on the readmission rates of the same sample at multiple timed points. Results: We found a positive relationship between border location and 30-day hospital readmission rates for heart failure and pneumonia in Texas. Border hospitals in Texas had approximately a 4.17% higher heart failure readmission rate and a 3.46% higher pneumonia readmission rate than non-border hospitals. We also identified several hospital organizational and market factors associated (eg, registered nurse [RN]-to-patient ratio) with hospital readmission rates. Conclusion: The results suggest that improving RN staffing levels can be the most feasible action to lower the readmission rates among border Texas hospitals. Decreasing readmission rates by increasing RN staffing levels would also help them avoid reimbursement reduction under the Hospital Readmission Reduction Program (HRRP) and enhance overall health in Texas border communities. Further, to improve border health in Texas, decision-makers in state and local governments must consider incentivizing border hospitals to improve RN staffing levels and modulating the market factors affecting hospital readmission rates that are mostly beyond the control of hospitals.

Healthcare Utilization Disparities Among Lung Cancer Patients in US Hospitals During 2010-2014: Evidence from the US Hispanic Population's Hospital Charges and Length of Stay.

PURPOSE: There is a lack of research focused on understanding the differences in the healthcare utilization of lung cancer patients between ethnic groups. This study aims to characterize disparities in healthcare utilization for Hispanic lung cancer patients compared to non-Hispanic patients. METHODS: National Inpatient Sample was used to identify nationwide lung cancer patients (n=141,675, weighted n=702,878) from 2010 to 2014. We examined the characteristics of the study sample by race (Hispanic vs non-Hispanic) and its association with healthcare utilization, measured by discounted hospital charges and length of stay. Multivariate survey regression models were used to identify predictors by racial groups. RESULTS: Among 702,878 lung cancer patients, 5.1% were Hispanic. Descriptive statistics showed that Hispanics have higher hospital charges and length of stay. Survey regression results also suggested that Hispanic lung cancer patients were associated with higher hospital charges (26.6%) and length of stay (3.5%) than non-Hispanic lung cancer patients. Subgroup analysis displayed a similar trend to the full model. CONCLUSION: Healthcare utilization disparities may exist for lung cancer Hispanic patients due to insurance status and early detection. Thus, our findings support providing financial assistance and targeted programs for minority patients. Future health policy consideration should be given to those vulnerable populations where limited healthcare resources are available.