OBJECTIVE: To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level.
UNASSIGNED: We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019.
METHODS: We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender.
METHODS: We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence.
RESULTS: Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination.
CONCLUSIONS: We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation.

BACKGROUND: To better target rural background and rurally interested applicants during medical school admission, it is increasingly common for rural medical programs to include multiple mini-interview (MMI) scenarios designed to screen for rural interest. It remains unclear whether the inclusion of regionally/rurally focused MMI scenarios positively impacts the selection of rural background applicants and evidence is limited regarding why rural background applicants may perform worse on the MMI. Therefore, this study explored how rural and metropolitan applicants prepare for and perceive the MMI for admission to a regional medical pathway.
METHODS: A mixed-methods survey was sent to provisional entry regional pathway medical school applicants who had completed an MMI. The survey was distributed before any offers of admission had been released.
RESULTS: Rural applicants spent less time and money preparing for the MMI and felt less prepared (P < 0.05). However, time and money spent, and resources used to prepare were not associated with feeling more prepared (all P > 0.05). Respondents mostly felt that the MMI process aligned with their expectations (83%), is fair (64%), and helps a rural program select the most suitable applicants (61%). Rural applicants generally felt that they had an advantage over other applicants (61%) while most metropolitan applicants did not (23%; P = 0.002).
CONCLUSIONS: Applicants to a regional medical pathway are generally supportive of the MMI process. It appears valuable for applicants to prepare for the MMI by understanding the format and requirements; however, investing substantial time and money does not underpin feeling better prepared. MMI scenarios which include a regional focus are perceived to advantage rural applicants.

BACKGROUND: Higher-than-expected heart failure (HF) readmissions affect half of US hospitals every year. The Hospital Reduction Readmission Program has reduced risk-adjusted readmissions, but it has also produced unintended consequences. Shared care models have been advocated for HF care, but the association of shared care networks with HF readmissions has never been investigated.
OBJECTIVE: This study aims to evaluate the association of shared care networks with 30-day HF excessive readmission rates using a longitudinal observational study.
METHODS: We curated publicly available data on hospital discharges and HF excessive readmission ratios from hospitals in California between 2012 and 2017. Shared care areas were delineated as data-driven units of care coordination emerging from discharge networks. The localization index, the proportion of patients who reside in the same shared care area in which they are admitted, was calculated by year. Generalized estimating equations were used to evaluate the association between the localization index and the excessive readmission ratio of hospitals controlling for race/ethnicity and socioeconomic factors.
RESULTS: A total of 300 hospitals in California in a 6-year period were included. The HF excessive readmission ratio was negatively associated with the adjusted localization index (β=-.0474, 95% CI -0.082 to -0.013). The percentage of Black residents within the shared care areas was the only statistically significant covariate (β=.4128, 95% CI 0.302 to 0.524).
CONCLUSIONS: Higher-than-expected HF readmissions were associated with shared care networks. Control mechanisms such as the Hospital Reduction Readmission Program may need to characterize and reward shared care to guide hospitals toward a more organized HF care system.

BACKGROUND: The rapidly increasing socioeconomic strain caused by dementia represents a significant public health concern. Regional dementia centers (RDCs) have been established nationwide, and they aim to provide timely screening and diagnosis of dementia. This study investigated the clinical characteristics and progression of patients diagnosed with Alzheimer\'s dementia (AD), who underwent treatment in RDCs or conventional community-based hospital systems.
METHODS: This retrospective single-center cohort study included patients who were diagnosed with AD between January 2019 and March 2022. This study compared two groups of patients: the hospital group, consisting of patients who presented directly to the hospital, and the RDC group, those who were referred to the hospital from the RDCs in Pohang city. The clinical courses of the patients were monitored for a year after AD diagnosis.
RESULTS: A total of 1,209 participants were assigned to the hospital (n = 579) or RDC group (n = 630). The RDC group had a mean age of 80.1 years ± 6.6 years, which was significantly higher than that of the hospital group (P < 0.001). The RDC group had a higher proportion of females (38.3% vs. 31.9%; P = 0.022), higher risk for alcohol consumption (12.4% vs. 3.3%; P < 0.001), and greater number of patients who discontinued treatment 1 year after diagnosis (48.3% vs. 39.0%; P = 0.001). In the linear regression model, the RDC group was independently associated with the clinical dementia rating sum of boxes increment (β = 22.360, R²\\n = 0.048, and P < 0.001).
CONCLUSIONS: Patients in the RDC group were older, had more advanced stages of conditions, and exhibited a more rapid rate of cognitive decline than patients diagnosed through the conventional hospital system. Our results suggested that RDC contributed to the screening of AD in a local region, and further nationwide study with the RDC database of various areas of Korea is needed.

UNASSIGNED: The extent of regional variations in cardiovascular risk and associated risk factors in patients with gout in South Korea remains unclear. Therefore, we aimed to investigate the risk of major cardiovascular events in gout patients in different regions.
UNASSIGNED: This was a nationwide cohort study based on the claims database of the Korean National Health Insurance and the National Health Screening Program. Patients aged 20 to 90 years newly diagnosed with gout after January 2012 were included. After cardiovascular risk profiles before gout diagnosis were adjusted, the relative risks of incident cardiovascular events (myocardial infarction, cerebral infarction, and cerebral hemorrhage) in gout patients in different regions were assessed.
UNASSIGNED: In total, 231,668 patients with gout were studied. Regional differences in cardiovascular risk profiles before the diagnosis were observed. Multivariable analysis showed that patients with gout in Jeolla/Gwangju had a significantly high risk of myocardial infarction (adjusted hazard ratio [aHR], 1.27; 95% confidence interval [CI], 1.02~1.56; p=0.03). In addition, patients with gout in Gangwon (aHR, 1.38; 95% CI, 1.09~1.74; p<0.01), Jeolla/Gwangju (aHR, 1.41; 95% CI, 1.19~1.67; p<0.01), and Gyeongsang/Busan/Daegu/Ulsan (aHR, 1.37; 95% CI, 1.19~1.59; p<0.01) had a significantly high risk of cerebral infarction.
UNASSIGNED: We found there were regional differences in cardiovascular risk and associated risk factors in gout patients. Physicians should screen gout patients for cardiovascular risk profiles in order to facilitate prompt diagnosis and treatment.

Introduction: The federally funded Region 1 Regional Disaster Health Response System (RDHRS) and the American Burn Association partnered to develop a model regional disaster teleconsultation system within a Medical Emergency Operations Center (MEOC) to support triage and specialty consultation during a no-notice mass casualty incident. Our objective was to test the acceptability and feasibility of a prototype model system in simulated disasters as proof of concept. Methods: We conducted a mixed-methods simulation study using the Technology Acceptance Model framework. Participating physicians completed the Telehealth Usability Questionnaire (TUQ) and semistructured interviews after simulations. Results: TUQ item scores rating the model system were highest for usefulness and satisfaction, and lowest for interaction quality and reliability. Conclusions: We found high model acceptance, but desire for a simpler, more reliable technology interface with better audiovisual quality for low-frequency, high-stakes use. Future work will emphasize technology interface quality and reliability, automate coordinator roles, and field test the model system.

UNASSIGNED: The COVID-19 pandemic has resulted in treatment interruption for chronic diseases. The scale of COVID-19 in Japan has varied greatly in terms of the scale of infection and the speed of spread depending on the region. This study aimed to examine the relationship between local infection level and treatment interruption among Japanese workers.
UNASSIGNED: Cross-sectional internet survey was conducted from December 22 to 26, 2020. Of 33,302 participants, 9,510 (5,392 males and 4,118 females) who responded that they required regular treatment were included in the analysis. The infection level in each participant\'s prefecture of residence was assessed based on the incidence rate (per 1,000 population) and the number of people infected. Age-sex and multivariate adjusted odds ratios (ORs) of regional infection levels associated with treatment interruption were estimated by multilevel logistic models, nested by prefecture of residence. The multivariate model was adjusted for sex, age, marital status, equivalent household income, educational level, occupation, self-rated health status and anxiety.
UNASSIGNED: The ORs of treatment interruption for the lowest and highest levels of infection in the region were 1.32 [95 % confidence interval (CI) were 1.09-1.59] for the overall morbidity rate (per 1,000) and 1.34 (95 % CI 1.10-1.63) for the overall number of people infected. Higher local infection levels were linked to a greater number of workers experiencing treatment interruption.
UNASSIGNED: Higher local infection levels were linked to more workers experiencing treatment interruption. Our results suggest that apart from individual characteristics such as socioeconomic and health status, treatment interruption during the pandemic is also subject to contextual effects related to regional infection levels. Preventing community spread of COVID-19 may thus protect individuals from indirect effects of the pandemic, such as treatment interruption.

Regionalization has become a buzzword in US health care policy. Regionalization, however, has varied meanings, and definitions have lacked contextual information important to understanding its role in improving care. This concept review is a comprehensive primer and summation of 8 common core components of the national models of regionalization informed by text-based analysis of the writing of involved organizations (professional, regulatory, and research) guided by semistructured interviews with organizational leaders. Further, this generalized model of regionalized care is applied to sepsis care, a novel discussion, drawing on existing small-scale applications. This discussion highlights the fit of regionalization principles to the sepsis care model and the actualized and perceived potential benefits. The principal aim of this concept review is to outline regionalization in the United States and provide a roadmap and novel discussion of regionalized care integration for sepsis care.

OBJECTIVE: Few empiric studies evaluate the effects of regionalization on pancreatic cancer care.
METHODS: We queried the National Cancer Database to identify patients undergoing pancreaticoduodenectomy for clinical stage I/II pancreatic adenocarcinoma between 2006 and 2015. Facilities were categorized by annual pancreatectomy volume. Textbook oncologic outcome was defined as a margin negative resection, appropriate lymph node assessment, no prolonged hospitalization, no 30-day readmission, no 90-day mortality, and timely receipt of adjuvant chemotherapy. Multivariable regression adjusted for comorbid disease, pathologic stage, and facility characteristics was used to evaluate the relationship between facility volume and textbook outcome.
RESULTS: Sixteen thousand six hundred and two patients underwent pancreaticoduodenectomy; 3566 (21.5%) had a textbook outcome. Operations performed at high volume centers increased each year (45.8% in 2006 to 64.2% in 2015, p < 0.001) as did textbook outcome rates (14.3%-26.2%, p < 0.001). Surgical volume was associated with textbook outcome. High volume centers demonstrated higher unadjusted rates of textbook outcome (25.4% vs. 11.8% p < 0.01) and increased adjusted odds of textbook outcome relative to low volume centers (odds ratio: 2.39, [2.02, 2.85], p < 0.001). Textbook outcome was associated with improved overall survival independent of volume.
CONCLUSIONS: Regionalization of care for pancreaticoduodenectomy to high volume centers is ongoing and is associated with improved quality of care.

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