Longitudinal Trajectories and Factors Associated With US County-Level Cardiovascular Mortality, 1980 to 2014.

Importance: Cardiovascular (CV) mortality has declined for more than 3 decades in the US. However, differences in declines among residents at a US county level are not well characterized. Objective: To identify unique county-level trajectories of CV mortality in the US during a 35-year study period and explore county-level factors that are associated with CV mortality trajectories. Design, Setting, and Participants: This longitudinal cross-sectional analysis of CV mortality trends used data from 3133 US counties from 1980 to 2014. County-level demographic, socioeconomic, environmental, and health-related risk factors were compiled. Data were analyzed from December 2019 to September 2021. Exposures: County-level characteristics, collected from 5 county-level data sets. Main Outcomes and Measures: Cardiovascular mortality data were obtained for 3133 US counties from 1980 to 2014 using age-standardized county-level mortality rates from the Global Burden of Disease study. The longitudinal K-means approach was used to identify 3 distinct clusters based on underlying mortality trajectory. Multinomial logistic regression models were constructed to evaluate associations between county characteristics and cluster membership. Results: Among 3133 US counties (median, 49.5% [IQR, 48.9%-50.5%] men; 30.7% [IQR, 27.1%-34.4%] older than 55 years; 9.9% [IQR, 4.5%-22.7%] racial minority group [individuals self-identifying as Black or African American, American Indian or Alaska Native, Asian, Native Hawaiian, Pacific Islander, other, or multiple races/ethnicities]), CV mortality declined by 45.5% overall and by 38.4% in high-mortality strata (694 counties), by 45.0% in intermediate-mortality strata (1382 counties), and by 48.3% in low-mortality strata (1057 counties). Counties with the highest mortality in 1980 continued to demonstrate the highest mortality in 2014. Trajectory groups were regionally distributed, with high-mortality trajectory counties focused in the South and in portions of Appalachia. Low- vs high-mortality groups varied significantly in demographic (racial minority group proportion, 7.6% [IQR, 4.1%-14.5%]) vs 23.9% [IQR, 6.5%-40.8%]) and socioeconomic characteristics such as high-school education (9.4% [IQR, 7.3%-12.6%] vs 20.1% [IQR, 16.1%-23.2%]), poverty rates (11.4% [IQR, 8.8%-14.6%] vs 20.6% [IQR, 17.1%-24.4%]), and violent crime rates (161.5 [IQR, 89.0-262.4] vs 272.8 [IQR, 155.3-431.3] per 100 000 population). In multinomial logistic regression, a model incorporating demographic, socioeconomic, environmental, and health characteristics accounted for 60% of the variance in the CV mortality trajectory (R2 = 0.60). Sociodemographic factors such as racial minority group proportion (odds ratio [OR], 1.70 [95% CI, 1.35-2.14]) and educational attainment (OR, 6.17 [95% CI, 4.55-8.36]) and health behaviors such as smoking (OR for high vs low, 2.04 [95% CI, 1.58-2.64]) and physical inactivity (OR, 3.74 [95% CI, 2.83-4.93]) were associated with the high-mortality trajectory. Conclusions and Relevance: Cardiovascular mortality declined in all subgroups during the 35-year study period; however, disparities remained unchanged during that time. Disparate trajectories were associated with social and behavioral risks. Health policy efforts across multiple domains, including structural and public health targets, may be needed to reduce existing county-level cardiovascular mortality disparities.

Gender-Specific Risk Factors for Reflux Esophagitis in a Predominantly Hispanic Population of a Large Safety-Net Hospital.

BACKGROUND: Defining factors associated with severe reflux esophagitis allows for identification of subgroups most at risk for complications of strictures and esophageal malignancy. We hypothesized there might be unique clinical features in patients with reflux esophagitis in a predominantly Hispanic population of a large, safety-net hospital. AIM: Define clinical and endoscopic features of reflux esophagitis in a predominantly Hispanic population of a large, safety-net hospital. METHODS: This is retrospective comparative study of outpatients and hospitalized patients identified with mild (Los Angeles Grade A/B) and severe (Los Angeles Grade C/D) esophagitis through an endoscopy database review. The electronic medical record was reviewed for demographic and clinical data. RESULTS: Reflux esophagitis was identified in 382/5925 individuals: 56.5% males and 79.8% Hispanic. Multivariable logistic regression model adjusted for age, gender, race, body mass index (BMI), tobacco and alcohol use, and hospitalization status with severity as the outcome showed an interaction between gender and BMI (p ≤ 0.01). Stratification by gender showed that obese females had decreased odds of severe esophagitis compared to normal BMI females (OR = 0.18, 95% CI = 0.07-0.47; p < 0.01). In males, the odds of esophagitis were higher in inpatient status (OR = 2.84, 95% CI = 1.52 - 5.28; p < 0.01) and as age increased (OR = 1.37, 95% CI = 1.03 - 1.83; p = 0.03). CONCLUSIONS: We identify gender-specific associations with severe esophagitis in a predominantly Hispanic cohort. In females, obese BMI appears to be protective against severe esophagitis compared to normal BMI, while in men inpatient status and increasing age were associated with increased odds of severe esophagitis.

Signet Ring Cell Gastric Carcinoma: Clinical Epidemiology and Outcomes in a Predominantly Latino County Hospital Population.

BACKGROUND: Gastric signet ring cell carcinoma (GSRC) is a rare but increasingly prevalent tumor histotype whose clinical features and natural history are poorly understood, particularly in the USA and minorities. AIMS: To examine the occurrence, clinico-demographic characteristics, oncologic features, treatment, and outcomes of GSRC in a predominantly minority county hospital setting and benchmark them against data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. METHODS: We queried biopsy-proven GSRC cases at a Los Angeles County hospital, from 2004 to 2017. Clinical characteristics, treatment, and survival data were collected and compared to SEER data. RESULTS: We identified 63 patients with GSRC. Compared to SEER, our cohort was significantly younger (52.6 vs. 63.5 years, p < 0.01), Hispanic/Latino predominant (81% vs. 20%, p < 0.01), had higher overall stage (86% vs. 69% with stage III/IV, p < 0.01), and more frequent node involvement (89% vs. 49%, p < 0.01). Lower tumor stage, Helicobacter pylori positivity, and surgical intervention were associated with significantly longer median survival (all p < 0.05), which was similar in our study compared to SEER (median 12.6 vs. 9.0 months, p = 0.26). CONCLUSIONS: Patients with GSRC within the Los Angeles County population have different clinical characteristics compared to what has been reported in SEER. Our cohort was younger, and despite having more advanced disease, did not have shorter survival. Further study is needed to better identify protective and risk factors in this population and improve understanding of the etiopathogenesis and natural history of this malignancy.

Regional disparities in health care resources in traditional Chinese medicine county hospitals in China.

OBJECTIVE: We aimed to analyze regional disparities of health care resources in traditional Chinese medicine (TCM) county hospitals and their time trends, and to assess the changes of regional disparities before and after 2009 health care reforms. METHODS: We used hospital-based, longitudinal data from all TCM county hospitals in China between 2004 and 2016. To measure the key development features of TCM county hospitals, data were collected on government hospital investment, hospital numbers (the average number of TCM hospitals per county), hospital scale (the number of medical staff and hospital beds) and doctors' workload (the daily visits and inpatient stays per doctor). We used segmented linear regression to test the time trend for outcome variables. We set a breakpoint at 2011, dividing the pre-reform (2004-2011) and post-reform (2012-2016) periods. RESULTS: After the 2009 health reforms, TCM hospitals continued to display large disparities in the number, scale, and doctors' workload across the three regions. In the pre-reform period, yearly government subsidies for TCM hospitals in western area were roughly RMB0.6 million (US$89 thousand) more than those in central and eastern region, which increased under the 2009 reforms to roughly RMB2 million (US$298 thousand) more per yer in post-reform period. These increased subsidies saw an increase in the number of TCM hospitals in the western area, partly addressing regional disparities. But there was no improvement in the regional disparities in terms of scale (number of beds) and the doctors' workload (daily outpatient visits and inpatients per doctor) increased or remained unchanged between the western and other regions. CONCLUSION: Although TCM hospital number, scale, and doctors' workload increased over the past 13 years, substantial regional disparities remained. The 2009 health reforms did not significantly change the regional disparities in health care resources, especially between the eastern and western regions.

Implementation research for public sector mental health care scale-up (SMART-DAPPER): a sequential multiple, assignment randomized trial (SMART) of non-specialist-delivered psychotherapy and/or medication for major depressive disorder and posttraumatic stress disorder (DAPPER) integrated with outpatient care clinics at a county hospital in Kenya.

BACKGROUND: Mental disorders are a leading cause of global disability, driven primarily by depression and anxiety. Most of the disease burden is in Low and Middle Income Countries (LMICs), where 75% of adults with mental disorders have no service access. Our research team has worked in western Kenya for nearly ten years. Primary care populations in Kenya have high prevalence of Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD). To address these treatment needs with a sustainable, scalable mental health care strategy, we are partnering with local and national mental health stakeholders in Kenya and Uganda to identify 1) evidence-based strategies for first-line and second-line treatment delivered by non-specialists integrated with primary care, 2) investigate presumed mediators of treatment outcome and 3) determine patient-level moderators of treatment effect to inform personalized, resource-efficient, non-specialist treatments and sequencing, with costing analyses. Our implementation approach is guided by the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. METHODS/DESIGN: We will use a Sequential, Multiple Assignment Randomized Trial (SMART) to randomize 2710 patients from the outpatient clinics at Kisumu County Hospital (KCH) who have MDD, PTSD or both to either 12 weekly sessions of non-specialist-delivered Interpersonal Psychotherapy (IPT) or to 6 months of fluoxetine prescribed by a nurse or clinical officer. Participants who are not in remission at the conclusion of treatment will be re-randomized to receive the other treatment (IPT receives fluoxetine and vice versa) or to combination treatment (IPT and fluoxetine). The SMART-DAPPER Implementation Resource Team, (IRT) will drive the application of the EPIS model and adaptations during the course of the study to optimize the relevance of the data for generalizability and scale -up. DISCUSSION: The results of this research will be significant in three ways: 1) they will determine the effectiveness of non-specialist delivered first- and second-line treatment for MDD and/or PTSD, 2) they will investigate key mechanisms of action for each treatment and 3) they will produce tailored adaptive treatment strategies essential for optimal sequencing of treatment for MDD and/or PTSD in low resource settings with associated cost information - a critical gap for addressing a leading global cause of disability. TRIAL REGISTRATION: ClinicalTrials.gov NCT03466346, registered March 15, 2018.

The Evolution of Trauma in Los Angeles County Over More Than a Decade.

OBJECTIVE: Explore trends in trauma incidence and mortality rates in Los Angeles County. DESIGN: Data for patients treated at Los Angeles County trauma centers from 2000 to 2011 were analyzed for this study. Age-adjusted incidence and mortality rates were calculated by gender, race, injury type, injury severity, and mechanism of injury. Trends were assessed using linear regression to determine the annual percentage change (APC). RESULTS: There were 223 773 patients included. The trauma incidence rate increased by 14.6% driven by an increase in blunt injury of 5.4% annually (P < .05). Penetrating injury decreased at -6.9% APC (P < .01). Mortality rate decreased at -11.5% APC (P < .01), with reduction in both blunt (-6.8% APC [P < .01]) and penetrating injuries (-16.7% APC [P < .01]). The trends in mortality persisted with stratification by age, gender, race, and injury severity score. CONCLUSION: In this mature trauma system, the trauma incidence increased slightly from 2000 to 2011, while the mortality steadily declined. Public health officials in other areas could perform a similar self-evaluation to describe and monitor injury events and trends in their jurisdictions, a reassessment of priority and trauma system resource allocation, which will directly benefit the regional population.

Trends analysis for drug utilization in county public hospitals: a sample study of the pilot area of health care reform in China.

BACKGROUND: Changes in the national drug policy always have impact on the drug utilization. In the context of China health care reform, what changes had happened in the trend of drug utilization in public hospitals? Has this change met the expectations of policy design? This study was conducted to explore the trend of medicine consumption in county public hospitals before and after health care reform, and to provide real-world evidence to help assess the effectiveness of national drug policy. METHODS: A cross-sectional study was performed to investigate the drug utilization trends of 6 county public hospitals in Anhui Province, which is the first pilot area of China health care reform. Data were collected before and after the implementation of the China National Essential Medicine Policy (NEMP) to analyse the drug utilization indicators, such as the drug utilization constituent ratio, the rate of essential medicine usage and the rate of antibiotic consumption. RESULTS: Chemicals are used most frequently and account for 60%~ 70%, followed by oral agents of proprietary Chinese medicine. The results also show increased consumption of Chinese medicine injections (χ2 = 28.428, P < 0.01). The top 3 chemical medicines consumed were anti-infective drugs (12.92%), cardiovascular system drugs (11.61%), and digestive system drugs (8.42%). For Chinese traditional medicine, the top 3 drugs consumed were internal medicine drugs (66.03%), surgical drugs (8.45%), and gynaecological drugs (7.70%). The total sales amounts of drugs covered by medical insurance are at a high level (all above 80%), whereas essential medicines are less than 50% at almost all county-level medical institutions. CONCLUSIONS: This study uncovered the changing tendency of medicine usage under the implementation of the reform. Chinese medicine injections and anti-infective drugs have always been a sustained concern of pharmacovigilance. It is noteworthy that although essential medicines are advocated for as a priority for use in the government-run hospital, the consumption proportion of these medicines is lower than expected.

Tracking stroke hospitalization clusters over time and associations with county-level socioeconomic and healthcare characteristics.

BACKGROUND AND PURPOSE: This study evaluated clustering of stroke hospitalization rates, patterns of the clustering over time, and associations with community-level characteristics. METHODS: We used Medicare hospital claims data from 1995-1996 to 2005-2006 with a principal discharge diagnosis of stroke to calculate county-level stroke hospitalization rates. We identified statistically significant clusters of high- and low-rate counties by using local indicators of spatial association, tracked cluster status over time, and assessed associations between cluster status and county-level socioeconomic and healthcare profiles. RESULTS: Clearly defined clusters of counties with high- and low-stroke hospitalization rates were identified in each time. Approximately 75% of counties maintained their cluster status from 1995-1996 to 2005-2006. In addition, 243 counties transitioned into high-rate clusters, and 148 transitioned out of high-rate clusters. Persistently high-rate clusters were located primarily in the Southeast, whereas persistently low-rate clusters occurred mostly in New England and in the West. In general, persistently low-rate counties had the most favorable socioeconomic and healthcare profiles, followed by counties that transitioned out of or into high-rate clusters. Persistently high-rate counties experienced the least favorable socioeconomic and healthcare profiles. CONCLUSIONS: The persistence of clusters of high- and low-stroke hospitalization rates during a 10-year period suggests that the underlying causes of stroke in these areas have also persisted. The associations found between cluster status (persistently high, transitional, persistently low) and socioeconomic and healthcare profiles shed new light on the contributions of community-level characteristics to geographic disparities in stroke hospitalizations.

A prospective longitudinal study of utilization of a psychiatric hospital in Hordaland County, Norway, from 1985 to 2003.

BACKGROUND: In Norway, as in the rest of the Western world, during the last three decades there has been a reduction of psychiatric hospital beds and expansion of extramural mental services, more based on ideology than empirical research. AIMS: To study the use of a psychiatric hospital before and after expansion of the outpatient psychiatric care in Hordaland County, Norway from 1985 to 2003. METHODS: All patients admitted from a catchment area of 168,000 inhabitants were included in a prospective longitudinal study. RESULTS: During the study period, there was a decrease in psychiatric hospital beds in the county. From 1991 to 2003, the annual number of outpatient consultations in District Psychiatric Centres more than doubled, but none of the four psychiatric hospitals in the county showed any decline in the number of admitted patients. Since 1995, there was a 100% increase in the annual number of stays, number of individual patients and number of first-stay patients admitted to the psychiatric hospital serving the inner-city area of Bergen, the main city in Hordaland, and the surrounding countryside. In this hospital, the annual number of patients with a drug/alcohol problem showed a fivefold increase. The same was the case for patients from the immigrant population. The annual number of first stays and hospital days for patients aged 20-29 years from the rural area increased more than twofold. CONCLUSION: There is still an increased need for specialized inpatient hospital mental healthcare, despite the growth of the extramural mental health services.

Hospital experience and mortality in patients with systemic lupus erythematosus: which patients benefit most from treatment at highly experienced hospitals?

OBJECTIVE: To determine if hospitalization at a hospital experienced in the treatment of systemic lupus erythematosus (SLE), compared to hospitalization at a less experienced hospital, is associated with decreased in-hospital mortality in all subsets of patients with SLE, or if the decrease in mortality is greater for patients with particular demographic characteristics, manifestations of SLE, or reasons for hospitalization. METHODS: Data on in-hospital mortality were available for 9989 patients with SLE hospitalized in acute care hospitals in California from 1991 to 1994. Differences in in-hospital mortality between patients hospitalized at highly experienced hospitals (those hospitals with more than 50 urgent or emergent hospitalizations of patients with SLE per year) and those hospitalized at less experienced hospitals were compared in patient subgroups defined by age, sex, ethnicity, type of medical insurance, the presence of common SLE manifestations, and each of the 10 most common principal reasons for hospitalization. RESULTS: In univariate analyses, in-hospital mortality was lower among those hospitalized at a highly experienced hospital for women, blacks, and Hispanics, and those with public medical insurance or no insurance. The risk of in-hospital mortality was similar between highly experienced and less experienced hospitals for men, whites, and those with private insurance. Patients with nephritis also had lower risks of in-hospital mortality if they were hospitalized at highly experienced hospitals, but this risk did not differ in subgroups with other SLE manifestations or subgroups with different principal reasons for hospitalization. In multivariate analyses, only the interaction between medical insurance and hospitalization at a highly experienced hospital was significant. Results were similar in the subgroup of patients with an emergency hospitalization (n = 2,372), but more consistent benefits of hospitalization at a highly experienced hospital were found across subgroups of patients with an emergency hospitalization due to SLE (n = 405). CONCLUSION: Risks of in-hospital mortality for patients with SLE were similar between highly experienced hospitals and less experienced hospitals for patients with private medical insurance, but patients without private insurance had much lower risks of mortality if hospitalized at highly experienced hospitals. The benefit of hospitalization at highly experienced hospitals was more consistent across subgroups of patients with a hospitalization due to SLE, suggesting that differences specifically in the treatment of SLE, rather than differences in the general quality of medical care, account for the lower mortality among patients with SLE hospitalized at highly experienced hospitals.

California's county hospitals and the University of California graduate medical education system. Current issues and future directions.

California's county hospitals train 45% of the state's graduate medical residents, including 33% of residents in the University of California system. This paper describes the interrelationships of California's county hospitals and the University of California (UC) graduate medical education (GME) programs, highlighting key challenges facing both systems. The mission of California's county health care systems is to serve all who need health care services regardless of ability to pay. Locating UC GME programs in county hospitals helps serve the public missions of both institutions. Such partnerships enhance the GME experience of UC residents, provide key primary care training opportunities, and ensure continued health care access for indigent and uninsured populations. Only through affiliation with university training programs have county hospitals been able to run the cost-effective, quality programs that constitute an acceptable safety net for the poor. Financial stress, however, has led county hospitals and UC's GME programs to advocate for reform in both GME financing and indigent care funding. County hospitals must participate in constructing strategies for GME reform to assure that GME funding mechanisms provide for equitable compensation of county hospitals' essential role. Joint advocacy will also be essential in achieving significant indigent care policy reform.