Brent C Williams
Biographic Data
| ID | 5535358 |
|---|---|
| NAME | Brent C Williams |
| GIVEN NAMES | Brent C |
| FAMILY NAME | Williams |
| SIGNATURE | WILLIAMS B C |
| AFFILIATIONS | University of Virginia |
| ORCID | 0000-0001-8937-4532 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1990 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
A 7-Domain Framework That Can Bridge Clinical Care, Health Systems Science, and Health Equity
The H&P 360 is a reconceptualized history and physical (H&P), which clinical medical students have reported reveals clinically relevant information not elicited by the traditional H&P, informs care planning, promotes interprofessional team care, and enhances patient rapport. In addition to the traditional checklist focused on patients’ medical conditions, the H&P 360 includes prompts for gathering limited but critical information in 6 other domai…
Bringing the classroom to the streets
Peer Reviewed
Expanding the Traditional History and Physical Examination to Address Chronic Diseases and Social Needs
PURPOSE: This study gathers validity evidence of an expanded History and Physical examination (H&P 360) to address chronic diseases through incorporation of biopsychosocial elements that are lacking in traditional H&P assessments via a multisite randomized controlled trial among medical students. METHOD: Third- and fourth-year medical students (n = 159) at 4 schools participated in an Objective Structured Clinical Examination designed with 2 case…
Predicting Discharge Outcomes of VA Nursing Home Residents
This article's purpose was to identify predictors of discharge outcomes of VA nursing home stays. Using data tapes, diagnostic and assessment data were assembled on elderly individuals admitted to VA nursing homes nationwide during Fiscal Year 1987. Six-month outcomes for 3 groups were considered: all residents (n = 5,895), and those remaining in care after 6 (n = 2,815) and 12 months (n = 1,812), respectively. Logistic regression was used to eva…
Patterns and Determinants of Health Services Use and Mortality after VA Nursing Home Care
Risk factors for institutionalization and death for up to four years for a nationwide cohort (n = 6,488) of males discharged alive from Department of Veterans Affairs (DVA) nursing homes were identified through linked records of the DVA. Two-year cumulative probabilities of nursing home readmission, hospitalization, and death among nursing home dischargees were 0.30, 0.61, and 0.24, respectively. Using multivariate survival analyses, chronic func…
Comparison of Services Among Different Types of Home Health Agencies
Past and proposed public policy reforms in home care have presumed that similar services are provided by different types (e.g., public, proprietary) of home health agencies under a uniform benefit. To examine this presumption, the author used Medicare billing data and interview information for a nationally representative sample of 921 home health patients from the 1984 National Long Term Care Survey, supplemented with data on agency type from the…
Length of Stay in VA Nursing Homes
To examine the patterns and determinants of length of stay among residents of nursing homes of the Department of Veterans Affairs (VA), the authors conducted a retrospective follow-up study of all persons (n = 4,918) admitted to VA nursing homes between October 1986, and April 1987, using computerized records of the VA. Brief-stay ( 6 months; n = 1,832) were older and more functionally impaired than other residents. Medium- and long-stay resident…
Home Health Care
From the Division of General Medicine, University of Virginia Health Sciences Center, Charlottesville, Virginia †From the School of Medicine, University of Virginia Health Sciences Center, Charlottesville, Virginia ‡From the Epidemiological Studies Program, Center for the Prevention of Disease and Injury, University of Virginia Health Sciences Center, Charlottesville, Virginia
Predicting Utilization of Home Health Resources
This study examined the feasibility of using routinely collected information on patients enrolled in home health care to predict their subsequent use of services. Data were gathered from 1,984 episodes of care randomly sampled from home health care agencies of the Virginia Health Department. Age, sex, Medicare and Medicaid enrollment, referral source, medical diagnosis, and prognosis were used to predict the total number of visits, the duration o…
Predicting Discharge Outcomes of VA Nursing Home Residents
This article's purpose was to identify predictors of discharge outcomes of VA nursing home stays. Using data tapes, diagnostic and assessment data were assembled on elderly individuals admitted to VA nursing homes nationwide during Fiscal Year 1987. Six-month outcomes for 3 groups were considered: all residents (n = 5,895), and those remaining in care after 6 (n = 2,815) and 12 months (n = 1,812), respectively. Logistic regression was used to eva…
Length of Stay in VA Nursing Homes
To examine the patterns and determinants of length of stay among residents of nursing homes of the Department of Veterans Affairs (VA), the authors conducted a retrospective follow-up study of all persons (n = 4,918) admitted to VA nursing homes between October 1986, and April 1987, using computerized records of the VA. Brief-stay ( 6 months; n = 1,832) were older and more functionally impaired than other residents. Medium- and long-stay resident…
Patterns and Determinants of Health Services Use and Mortality after VA Nursing Home Care
Risk factors for institutionalization and death for up to four years for a nationwide cohort (n = 6,488) of males discharged alive from Department of Veterans Affairs (DVA) nursing homes were identified through linked records of the DVA. Two-year cumulative probabilities of nursing home readmission, hospitalization, and death among nursing home dischargees were 0.30, 0.61, and 0.24, respectively. Using multivariate survival analyses, chronic func…
Predicting Utilization of Home Health Resources
This study examined the feasibility of using routinely collected information on patients enrolled in home health care to predict their subsequent use of services. Data were gathered from 1,984 episodes of care randomly sampled from home health care agencies of the Virginia Health Department. Age, sex, Medicare and Medicaid enrollment, referral source, medical diagnosis, and prognosis were used to predict the total number of visits, the duration o…
Home Health Care
From the Division of General Medicine, University of Virginia Health Sciences Center, Charlottesville, Virginia †From the School of Medicine, University of Virginia Health Sciences Center, Charlottesville, Virginia ‡From the Epidemiological Studies Program, Center for the Prevention of Disease and Injury, University of Virginia Health Sciences Center, Charlottesville, Virginia
Length of Stay in VA Nursing Homes
To examine the patterns and determinants of length of stay among residents of nursing homes of the Department of Veterans Affairs (VA), the authors conducted a retrospective follow-up study of all persons (n = 4,918) admitted to VA nursing homes between October 1986, and April 1987, using computerized records of the VA. Brief-stay ( 6 months; n = 1,832) were older and more functionally impaired than other residents. Medium- and long-stay resident…
Comparison of Services Among Different Types of Home Health Agencies
Past and proposed public policy reforms in home care have presumed that similar services are provided by different types (e.g., public, proprietary) of home health agencies under a uniform benefit. To examine this presumption, the author used Medicare billing data and interview information for a nationally representative sample of 921 home health patients from the 1984 National Long Term Care Survey, supplemented with data on agency type from the…
Patterns and Determinants of Health Services Use and Mortality after VA Nursing Home Care
Risk factors for institutionalization and death for up to four years for a nationwide cohort (n = 6,488) of males discharged alive from Department of Veterans Affairs (DVA) nursing homes were identified through linked records of the DVA. Two-year cumulative probabilities of nursing home readmission, hospitalization, and death among nursing home dischargees were 0.30, 0.61, and 0.24, respectively. Using multivariate survival analyses, chronic func…
Predicting Discharge Outcomes of VA Nursing Home Residents
This article's purpose was to identify predictors of discharge outcomes of VA nursing home stays. Using data tapes, diagnostic and assessment data were assembled on elderly individuals admitted to VA nursing homes nationwide during Fiscal Year 1987. Six-month outcomes for 3 groups were considered: all residents (n = 5,895), and those remaining in care after 6 (n = 2,815) and 12 months (n = 1,812), respectively. Logistic regression was used to eva…
Expanding the Traditional History and Physical Examination to Address Chronic Diseases and Social Needs
PURPOSE: This study gathers validity evidence of an expanded History and Physical examination (H&P 360) to address chronic diseases through incorporation of biopsychosocial elements that are lacking in traditional H&P assessments via a multisite randomized controlled trial among medical students. METHOD: Third- and fourth-year medical students (n = 159) at 4 schools participated in an Objective Structured Clinical Examination designed with 2 case…
Bringing the classroom to the streets
Peer Reviewed
A 7-Domain Framework That Can Bridge Clinical Care, Health Systems Science, and Health Equity
The H&P 360 is a reconceptualized history and physical (H&P), which clinical medical students have reported reveals clinically relevant information not elicited by the traditional H&P, informs care planning, promotes interprofessional team care, and enhances patient rapport. In addition to the traditional checklist focused on patients’ medical conditions, the H&P 360 includes prompts for gathering limited but critical information in 6 other domai…
Medicine (9 works) · Geriatric Care and Nursing Homes (5 works) · Gerontology (5 works) · Nursing (5 works) · Family medicine (4 works) · Health care (4 works) · Environmental health (3 works) · Innovations in Medical Education (3 works) · Internal Medicine (3 works) · Medical education (3 works)