Publications by authors named "W Steers"

Objective: To examine primary care (PC) team members' characteristics associated with video use at the Veterans Health Administration (VA).

Methods: VA electronic data were used to identify PC team characteristics associated with any video-based PC visit, during the three-year study period (3/15/2019-3/15/2022). Multilevel mixed-effects logistic regression models on repeated yearly observations were used, adjusting for patient- and healthcare system-level characteristics, and study year.

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Objective: To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level.

Data Source And Study Setting: We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019.

Study Design: 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.

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Article Synopsis
  • - The study compared state veterans homes (SVHs) and community nursing homes (CNHs) during the COVID-19 pandemic, focusing on infection rates and mortality outcomes across the U.S.
  • - Results indicated that SVHs had 18% fewer COVID-19 cases but 25% higher death rates than CNHs, with significant geographical trends observed in infection and mortality rates, particularly in Midwestern and Southern states.
  • - Despite higher mortality risk in SVHs, they recorded fewer extreme cases of infection and mortality compared to CNHs, suggesting variations in how these facilities managed COVID-19 challenges.
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Objective: To examine the role of patient-perceived access to primary care in mediating and moderating racial and ethnic disparities in hypertension control and diabetes control among Veterans Health Administration (VA) users.

Data Source And Study Setting: We performed a secondary analysis of national VA user administrative data for fiscal years 2016-2019.

Study Design: Our primary exposure was race or ethnicity and primary outcomes were binary indicators of hypertension control (<140/90 mmHg) and diabetes control (HgbA1c < 9%) among patients with known disease.

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Context: Surges in the ongoing coronavirus-19 (COVID-19) pandemic and accompanying increases in hospitalizations continue to strain hospital systems. Identifying hospital-level characteristics associated with COVID-19 hospitalization rates and clusters of hospitalization "hot spots" can help with hospital system planning and resource allocation.

Objective: To identify (1) hospital catchment area-level characteristics associated with higher COVID-19 hospitalization rates and (2) geographic regions with high and low COVID-19 hospitalization rates across catchment areas during COVID-19 Omicron surge (December 20, 2021-April 3, 2022).

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