Care Quality and Equity in Health Centers During and After the COVID-19 Pandemic.

INTRODUCTION: Federally Qualified Community Health Centers (FQHCs) are on the frontline of efforts to improve healthcare equity and reduce disparities exacerbated by the COVID-19 pandemic. This study assesses the provision and equity of preventive care and chronic disease management by FQHCs before, during, and after the pandemic. METHODS: Using electronic health record data from 210 FQHCs nationwide and employing segmented regression in an interrupted time series design, preventive screening and chronic disease management were assessed for 939,053 patients from 2019 to 2022. Care measures included cancer screenings, blood pressure control, diabetes control, and childhood immunizations; patient-level factors including race and ethnicity, language preference, and multimorbidity status were analyzed for equitable care provision. Analyses were conducted in 2023-2024. RESULTS: Cancer screening rates and blood pressure control initially declined after the onset of the pandemic but later rebounded, while diabetes control showed a slight increase, later stabilizing. Racial and ethnic disparities persisted, with Asian individuals having a higher prevalence of screenings and blood pressure control, and Black/African American individuals facing a lower prevalence for most screenings but a higher prevalence for cervical cancer screening. Hispanic/Latino individuals had a higher prevalence of various screenings and diabetes control. Disparities persisted for Native Hawaiian/Other Pacific Islander and American Indian/Alaska Native individuals and were observed based on language and multimorbidity status. CONCLUSIONS: While preventive screening and chronic disease management in FQHCs have largely rebounded to pre-pandemic levels following an initial decline, persistent disparities highlight the need for targeted interventions to support FQHCs in addressing healthcare inequities.

Variation in multimorbidity by sociodemographics and social drivers of health among patients seen at community-based health centers.

Purpose: Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities. Methods: From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.g., food insecurity]). Each model included an interaction term between the primary predictor and age to examine if certain groups had a higher MWI at younger ages. Results: Among 642,730 patients, 28.2% were Hispanic/Latino, 42.8% were male, and the median age was 48. The median MWI was 2.05 (IQR: 0.34, 4.87) and was higher for adults over the age of 40 and American Indians and Alaska Natives. The regression model revealed a higher MWI at younger ages for patients living in areas of higher deprivation. Additionally, patients with social risks had a higher MWI (3.16; IQR: 1.33, 6.65) than those without (2.13; IQR: 0.34, 4.89) and the interaction between age and social risk suggested a higher MWI at younger ages. Conclusions: Greater multimorbidity at younger ages and among those with social risks and living in areas of deprivation shows possible mechanisms for the premature aging and disability often seen in community-based health centers and highlights the need for comprehensive approaches to improving the health of vulnerable populations.

Care Delivery in Community Health Centers Before, During, and After the COVID-19 Pandemic (2019-2022).

INTRODUCTION: Health centers provide primary and behavioral health care to the nation's safety net population. Many health centers served on the frontlines of the COVID-19 pandemic, which brought major changes to health center care delivery. OBJECTIVE: To elucidate primary care and behavioral health service delivery patterns in health centers before and during the COVID-19 public health emergency (PHE). METHODS: We compared annual and monthly patients from 2019 to 2022 for new and established patients by visit type (primary care, behavioral health) and encounter visits by modality (in-person, telehealth) across 218 health centers in 13 states. RESULTS: There were 1581,744 unique patients in the sample, most from health disparate populations. Review of primary care data over 4 years show that health centers served fewer pediatric patients over time, while retaining the capacity to provide to patients 65+. Monthly data on encounters highlights that the initial shift in March/April 2020 to telehealth was not sustained and that in-person visits rose steadily after November/December 2020 to return as the predominant care delivery mode. With regards to behavioral health, health centers continued to provide care to established patients throughout the PHE, while serving fewer new patients over time. In contrast to primary care, after initial uptake of telehealth in March/April 2020, telehealth encounters remained the predominant care delivery mode through 2022. CONCLUSION: Four years of data demonstrate how COVID-19 impacted delivery of primary care and behavioral health care for patients, highlighting gaps in pediatric care delivery and trends in telehealth over time.

Cancer burden in women with HIV on Medicaid: A nationwide analysis.

BACKGROUND: Cancer is the leading cause of death in people living with HIV. In the United States, nearly 1 in 4 people living with HIV are women, more than half of whom rely on Medicaid for healthcare coverage. OBJECTIVE: The objective of this study is to evaluate the cancer burden of women living with HIV on Medicaid. DESIGN: We conducted a cross-sectional study of women 18-64 years of age enrolled in Medicaid during 2012, using data from Medicaid Analytic eXtract files. METHODS: Using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, we identified women living with HIV (n = 72,508) and women without HIV (n = 17,353,963), flagging the presence of 15 types of cancer and differentiating between AIDS-defining cancers and non-AIDS-defining cancers. We obtained adjusted prevalence ratios and 95% confidence intervals for each cancer and for all cancers combined, using multivariable log-binomial models, and additionally stratifying by age and race/ethnicity. RESULTS: The highest adjusted prevalence ratios were observed for Kaposi's sarcoma (81.79 (95% confidence interval: 57.11-117.22)) and non-Hodgkin's lymphoma (27.69 (21.67-35.39)). The adjusted prevalence ratios for anal and cervical cancer, both of which were human papillomavirus-associated cancers, were 19.31 (17.33-21.51) and 4.20 (3.90-4.52), respectively. Among women living with HIV, the adjusted prevalence ratio for all cancer types combined was about two-fold higher (1.99 (1.86-2.14)) in women 45-64 years of age than in women 18-44 years of age. For non-AIDS-defining cancers but not for AIDS-defining cancers, the adjusted prevalence ratios were higher in older than in younger women. There was no significant difference in the adjusted prevalence ratios for all cancer types combined in the race/ethnicity-stratified analyses of the women living with HIV cohort. However, in cancer type-specific sub-analyses, differences in adjusted prevalence ratios between Hispanic versus non-Hispanic women were observed. For example, the adjusted prevalence ratio for Hispanic women for non-Hodgkin's lymphoma was 2.00 (1.30-3.07) and 0.73 (0.58-0.92), respectively, for breast cancer. CONCLUSION: Compared to their counterparts without HIV, women living with HIV on Medicaid have excess prevalence of cervical and anal cancers, both of which are human papillomavirus related, as well as Kaposi's sarcoma and lymphoma. Older age is also associated with increased burden of non-AIDS-defining cancers in women living with HIV. Our findings emphasize the need for not only cancer screening among women living with HIV but also for efforts to increase human papillomavirus vaccination among all eligible individuals.

Excess cancer prevalence in men with HIV: A nationwide analysis of Medicaid data.

BACKGROUND: Cancer is one of the most common comorbidities in men living with HIV (MLWH). However, little is known about the MLWH subgroups with the highest cancer burden to which cancer prevention efforts should be targeted. Because Medicaid is the most important source of insurance for MLWH, we evaluated the excess cancer prevalence in MLWH on Medicaid relative to their non-HIV counterparts. METHODS: In this cross-sectional study using 2012 Medicaid Analytic eXtract data nationwide, we flagged the presence of HIV, 13 types of cancer, symptomatic HIV, and viral coinfections using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. The study population included individuals administratively noted to be of male sex (men), aged 18 to 64 years, with (n = 82,495) or without (n = 7,302,523) HIV. We developed log-binomial models with cancer as the outcome stratified by symptomatic status, age, and race/ethnicity. RESULTS: Cancer prevalence was higher in MLWH than in men without HIV (adjusted prevalence ratio [APR], 1.84; 95% confidence interval [CI], 1.78-1.90) and was higher among those with symptomatic HIV (APR, 2.74; 95% CI, 2.52-2.97) than among those with asymptomatic HIV (APR, 1.73; 95% CI, 1.67-1.79). The highest APRs were observed for anal cancer in younger men, both in the symptomatic and asymptomatic groups: APR, 312.97; 95% CI, 210.27-465.84, and APR, 482.26; 95% CI, 390.67-595.32, respectively. In race/ethnicity strata, the highest APRs were among Hispanic men for anal cancer (APR, 198.53; 95% CI, 144.54-272.68) and for lymphoma (APR, 9.10; 95% CI, 7.80-10.63). CONCLUSIONS: Given the Medicaid program's role in insuring MLWH, the current findings highlight the importance of the program's efforts to promote healthy behaviors and vaccination against human papillomavirus in all children and adolescents and to provide individualized cancer screening for MLWH.

Markers of Quality Care for Newly Diagnosed People With Epilepsy on Medicaid.

BACKGROUND: For newly diagnosed people with epilepsy (PWE), proper treatment is important to improve outcomes, yet limited data exist on markers of quality care. OBJECTIVE: Examine markers of quality care for newly diagnosed PWE. METHODS: Using Medicaid claims data (2010-2014) for 15 states we identified adults 18-64 years of age diagnosed with incident epilepsy in 2012 or 2013. We built 5 sequential logistic regression models to evaluate: (1) seeing a neurologist; (2) diagnostic evaluation; (3) antiepileptic medication adherence; (4) serum drug levels checked; and (5) being in the top quartile of number of negative health events (NHEs). We adjusted for demographics, comorbidities, county-level factors, and the outcomes from all prior models. RESULTS: Of 25,663 PWE, 37.3% saw a neurologist, with decreased odds for those of older age, those residing in counties with low-density of neurologists, and certain race/ethnicities; about 57% of PWE received at least 1 diagnostic test; and nearly 62% of PWE were adherent to their medication. The most common comorbidities were hypertension (37.1%) and psychoses (26.9%). PWE with comorbidities had higher odds of seeing a neurologist and to have NHEs. Substance use disorders were negatively associated with medication adherence and positively associated with high NHEs. CONCLUSIONS: There are notable differences in demographics among people with incident epilepsy who do or do not see a neurologist. Differences in NHEs persist, even after controlling for neurologist care and diagnostic evaluation. Continued attention to these disparities and comorbidities is needed in the evaluation of newly diagnosed PWE.

Delays and disparities in diagnosis for adults with epilepsy: Findings from U.S. Medicaid data.

OBJECTIVE: To identify disparities in care pathways and time from first seizure to epilepsy diagnosis, we examined 2010-2014 Medicaid claims (including pharmacy) data from 16 States for individuals with incident epilepsy. METHODS: We identified adults (18-64) with an incident epilepsy diagnosis from 1/2012 through 6/2014. These individuals were enrolled in Medicaid for the entire study period and had no history of anti-epileptic drug (AED) use before their first seizure claim. We identified care pathways and calculated the duration from initial seizure to epilepsy diagnosis. We tested associations between these pathways and race/ethnicity, as well as time differences between care pathways using a Chi-squared and Kruskal-Wallis tests. RESULTS: The 14,337 adults followed five different care pathways. Their overall median duration from first seizure code to epilepsy diagnosis code was 19.0 months (interquartile range: 4.6, 30.4), and 56.0% filled an AED prescription. Some minorities were more likely to follow pathways with increased durations and delay to diagnosis, and the duration to diagnosis varied significantly across the care pathways. SIGNIFICANCE: The many different care pathways seen in people with epilepsy show substantial and significant time delays between first seizure diagnosis and epilepsy diagnosis, including significant racial/ethnic disparities that warrant attention.

Trends and Outcomes of Cardiovascular Surgery in Patients With Opioid Use Disorders.

Importance: Persistent opioid use is currently a major health care crisis. There is a lack of knowledge regarding its prevalence and effect among patients undergoing cardiac surgery. Objective: To characterize the national population of cardiac surgery patients with opioid use disorder (OUD) and compare outcomes with the cardiac surgery population without OUD. Design, Setting, and Participants: In this retrospective population-based cohort study, more than 5.7 million adult patients who underwent cardiac surgery (ie, coronary artery bypass graft, valve surgery, or aortic surgery) in the United States were included. Pregnant patients were excluded. Propensity matching was performed to compare outcomes between cardiac surgery patients with OUD (n = 11 359) and without OUD (n = 5 707 193). The Nationwide Inpatient Sample database was queried from January 1998 to December 2013. Data were analyzed in January 2018. Exposures: Persistent opioid use and/or dependence. Main Outcomes and Measures: In-hospital mortality, complications, length of stay, costs, and discharge disposition. Results: Among the 5 718 552 included patients, 3 887 097 (68.0%) were male; the mean (SD) age of patients with OUD was 47.67 (13.03) years and of patients without OUD was 65.53 (26.14) years. The prevalence of OUD among cardiac surgery patients was 0.2% (n = 11 359), with an 8-fold increase over 15 years (0.06% [262 of 437 641] in 1998 vs 0.54% [1425 of 263 930] in 2013; difference, 0.48%; 95% CI of difference, 0.45-0.51; P < .001). Compared with patients without OUD, patients with OUD were younger (mean [SD] age, 48 [0.30] years vs 66 [0.05] years; P < .001) and more often male (70.8% vs 68.0%; P < .001), black (13.7% vs 4.8%), or Hispanic (9.1% vs 4.8%). Patients with OUD more commonly fell in the first quartile of median income (30.7% vs 17.1%; P < .001) and were more likely to be uninsured or Medicaid beneficiaries (48.6% vs 7.7%; P < .001). Valve and aortic operations were more commonly performed among patients with OUD (49.8% vs 16.4%; P < .001). Among propensity-matched pairs, the mortality was similar between patients with vs without OUD (3.1% vs 4.0%; P = .12), but cardiac surgery patients with OUD had an overall higher incidence of major complications (67.6% vs 59.2%; P < .001). Specifically, the risks of blood transfusion (30.4% vs 25.9%; P = .002), pulmonary embolism (7.3% vs 3.8%; P < .001), mechanical ventilation (18.4% vs 15.7%; P = .02), and prolonged postoperative pain (2.0% vs 1.2%; P = .048) were significantly higher. Patients with OUD also had a significantly longer length of stay (median [SE], 11 [0.30] vs 10 [0.22] days; P < .001) and cost significantly more per patient (median [SE], $49 790 [1059] vs $45 216 [732]; P < .001). Conclusions and Relevance: The population of patients with persistent opioid use or opioid dependency undergoing cardiac surgery has increased over the past decade. Cardiac surgery in patients with OUD is safe but is associated with higher complications and cost. Patients should not be denied surgery because of OUD status but should be carefully monitored postoperatively for complications.

Hematologic Malignancies Are Associated with Adverse Perioperative Outcomes following Total Knee Arthroplasty.

The treatment of hematologic malignancies has advanced over the years, resulting in an improved survival of patients. As a result, these patients may be a part of the increasing population requiring total knee arthroplasty (TKA); however, they might be at a higher risk of adverse perioperative outcomes. The purpose of this study was to determine the perioperative outcomes (complications, length of stay [LOS], and costs) of patients with hematologic malignancies following TKA. This study used the Nationwide Inpatient Sample (NIS) to identify patients who underwent TKA in the United States from 2000 to 2011. Patients diagnosed with any hematologic malignancy (N = 24,714) were then stratified by Hodgkin's disease (N = 791), Non-Hodgkin's lymphoma (N = 7,096), plasma cell dyscrasias (N = 1,621), leukemia (N = 8,005), myeloproliferative disease (N = 5,746), and/or myelodysplastic syndromes (N = 1,608) for determining the complications that occurred during admission. Propensity matching was performed for demographics, hospital characteristics, and comorbidities, which yielded 24,491 patients with any hematologic malignancy and 24,458 control patients. Additionally, propensity matching was performed for the hematologic malignancy subtypes. Multivariable regression models were used to analyze the surgical and medical complications, LOS, and costs. The annual frequency of THA in patients with any hematologic malignancy increased from 2000 to 2011 (p < 0.0001). Hematologic malignancies were associated with an increased risk of any surgery-related complication (odds ratio [OR] = 1.31, p < 0.0001) and any general medical complication (OR = 1.38, p < 0.0001). Patients with any hematologic malignancy had increased odds of complications, including acute postoperative anemia (OR = 1.29, p < 0.0001), hematoma/seroma (OR = 1.65, p < 0.02), peripheral vascular disease (OR = 2.23, p = 0.046), deep venous thrombosis (DVT) (OR = 1.95, p = 0.02), and blood transfusion (OR = 1.61, p < 0.0001). Hematologic malignancies were associated with an increased incremental LOS (0.13 d, p < 0.0001) and an increased incremental cost ($788, p < 0.0001). Thus, we conclude that following TKA, patients with hematologic malignancies are at an increased risk of perioperative complications, longer LOS, and higher costs. The risk quantification for adverse perioperative outcomes in association with an increased cost may help design different risk stratification and reimbursement methods in such patients when undergoing TKA.

Hematologic Malignancies Are Associated With Adverse Perioperative Outcomes After Total Hip Arthroplasty.

BACKGROUND: Advancements in treating hematologic malignancies have improved survival, and these patients may be part of the growing population undergoing total hip arthroplasty (THA). Therefore, the purpose of this study was to evaluate the perioperative outcomes of THA in patients with hematologic malignancies. METHODS: The Nationwide Inpatient Sample identified patients who underwent THA from 2000 to 2011 (n = 2,864,412). Patients diagnosed with any hematologic malignancy (n = 18,012) were further stratified into Hodgkin disease (n = 786), non-Hodgkin lymphoma (n = 5062), plasma cell dyscrasias (n = 2067), leukemia (n = 5644), myeloproliferative neoplasms (n = 3552), and myelodysplastic syndromes (n = 1082). Propensity matching for demographics, hospital characteristics, and comorbidities identified 17,810 patients with any hematologic malignancy and 17,888 controls; additional matching was performed to compare hematologic malignancy subtypes with controls. Multivariate regression was used to analyze surgical and medical complications, length of stay (LOS), and costs. RESULTS: Compared to controls, hematologic malignancies increased the risk of any surgery-related complication (odds ratio [OR], 1.4; P < .0001) and any general medical complication (OR, 1.47; P < .0001). Additionally, hematologic malignancies were associated with an increase in LOS (0.16 days; P = .004) and increased costs ($1,101; P < .0001). CONCLUSION: Patients with hematologic malignancies undergoing THA have an increased risk of perioperative complications, longer LOS, and higher costs. The risk quantification for adverse perioperative outcomes in association with increased cost may help to design different risk stratification and reimbursement methods in such populations.

The Impact of Solid Organ Transplant History on Inpatient Complications, Mortality, Length of Stay, and Cost for Primary Total Hip Arthroplasty Admissions in the United States.

BACKGROUND: As the prevalence of and life expectancy after solid organ transplantation increases, some of these patients will require total hip arthroplasty (THA). Immunosuppressive therapy, metabolic disorders, and post-transplant medications may place transplant patients at higher risk of adverse events following surgery. The objective of this study was to compare inpatient complications, mortality, length of stay (LOS), and costs for THA patients with and without solid organ transplant history. METHODS: A retrospective cross-sectional analysis was conducted using 1998-2011 Nationwide Inpatient Sample. Primary THA patients were queried (n = 3,175,456). After exclusions, remaining patients were assigned to transplant (n = 7558) or non-transplant groups (n = 2,772,943). After propensity score matching, adjusted for patient and hospital characteristics, logistic regression and paired t-tests examined the effect of transplant history on outcomes. RESULTS: Between 1998 and 2011, THA volume among transplant patients grew approximately 48%. The overall prevalence of one or more complications following THA was greater in the transplant group than in the non-transplant group (32.0% vs 22.1%; P < .001). In-hospital mortality was minimal, with comparable rates (0.1%) in both groups (P = .93). Unadjusted trends show that transplant patients have greater annual and overall mean LOS (4.47 days) and mean admission costs ($18,402) than non-transplant patients (3.73 days; $16,899; P < .001). After propensity score matching, transplant history was associated with increased complication risk (odds ratio, 1.56) after THA, longer hospital LOS (+0.64 days; P < .001), and increased admission costs (+$887; P = .005). CONCLUSION: Transplant patients exhibited increased odds of inpatient complications, longer LOS, and greater admission costs after THA compared with non-transplant patients.