Darrell J. Gaskin
Johns Hopkins University
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Publication
Featured researches published by Darrell J. Gaskin.
JAMA Internal Medicine | 2009
Ruben Amarasingham; Laura C. Plantinga; Marie Diener-West; Darrell J. Gaskin; Neil R. Powe
BACKGROUND Despite speculation that clinical information technologies will improve clinical and financial outcomes, few studies have examined this relationship in a large number of hospitals. METHODS We conducted a cross-sectional study of urban hospitals in Texas using the Clinical Information Technology Assessment Tool, which measures a hospitals level of automation based on physician interactions with the information system. After adjustment for potential confounders, we examined whether greater automation of hospital information was associated with reduced rates of inpatient mortality, complications, costs, and length of stay for 167 233 patients older than 50 years admitted to responding hospitals between December 1, 2005, and May 30, 2006. RESULTS We received a sufficient number of responses from 41 of 72 hospitals (58%). For all medical conditions studied, a 10-point increase in the automation of notes and records was associated with a 15% decrease in the adjusted odds of fatal hospitalizations (0.85; 95% confidence interval, 0.74-0.97). Higher scores in order entry were associated with 9% and 55% decreases in the adjusted odds of death for myocardial infarction and coronary artery bypass graft procedures, respectively. For all causes of hospitalization, higher scores in decision support were associated with a 16% decrease in the adjusted odds of complications (0.84; 95% confidence interval, 0.79-0.90). Higher scores on test results, order entry, and decision support were associated with lower costs for all hospital admissions (-
Health Affairs | 2011
Thomas A. LaVeist; Keshia M. Pollack; Roland J. Thorpe; Ruth G. Fesahazion; Darrell J. Gaskin
110, -
Journal of Clinical Oncology | 2000
Jonathan D. Cheng; James Hitt; Bogda Koczwara; Kevin A. Schulman; Caroline B. Burnett; Darrell J. Gaskin; Julia H. Rowland; Neal J. Meropol
132, and -
International Journal of Health Services | 2011
Thomas A. LaVeist; Darrell J. Gaskin; Patrick Richard
538, respectively; P < .05). CONCLUSION Hospitals with automated notes and records, order entry, and clinical decision support had fewer complications, lower mortality rates, and lower costs.
Cancer | 2003
Kevin P. Weinfurt; Liana D. Castel; Yun Li; Daniel P. Sulmasy; Andrew Balshem; Al B. Benson; Caroline B. Burnett; Darrell J. Gaskin; John L. Marshall; Elyse Slater; Kevin A. Schulman; Neal J. Meropol
Much of the current health disparities literature fails to account for the fact that the nation is largely segregated, leaving racial groups exposed to different health risks and with variable access to health services based on where they live. We sought to determine if racial health disparities typically reported in national studies remain the same when black and white Americans live in integrated settings. Focusing on a racially integrated, low-income neighborhood of Southwest Baltimore, Maryland, we found that nationally reported disparities in hypertension, diabetes, obesity among women, and use of health services either vanished or substantially narrowed. The sole exception was smoking: We found that white residents were more likely than black residents to smoke, underscoring the higher rates of ill health in whites in the Baltimore sample than seen in national data. As a result, we concluded that racial differences in social environments explain a meaningful portion of disparities typically found in national data. We further concluded that when social factors are equalized, racial disparities are minimized. Policies aimed solely at health behavior change, biological differences among racial groups, or increased access to health care are limited in their ability to close racial disparities in health. Such policies must address the differing resources of neighborhoods and must aim to improve the underlying conditions of health for all.
Medical Care Research and Review | 2012
Darrell J. Gaskin; Gniesha Y. Dinwiddie; Kitty S. Chan; Rachael McCleary
PURPOSE Quality of life (QOL) is increasingly recognized as a critical cancer-treatment outcome measure, but little is known about the impact of QOL on the patient decision-making process. A pilot study was conducted in an effort to (1) measure the expectations of patients, physicians, and research nurses regarding the potential benefits and toxicities from experimental and standard therapies, and (2) determine the relationship of QOL to patient perceptions regarding treatment options. METHODS Thirty cancer patients enrolling in phase I clinical trials, their physicians, and their research nurses were administered questionnaires that assessed demographics, QOL, and treatment expectations. RESULTS Compared with their physicians, patients overestimated potential benefits and toxicities from experimental therapy (mean expected benefit, 59.8% v 23.8%, P <.01; mean expected toxicity, 29.8% v 16.0%, P <.01). Patients estimated a greater potential for benefit (59.8% v 36.8%, P <.01) and less potential for toxicity (29.8% v 45.6%, P =.01) for experimental therapy, compared with standard therapy. Short Form-36 general health perception correlated with patient perception of potential benefit from experimental therapy (r =.48, P =.01). CONCLUSION Participants in phase I clinical trial have high expectations regarding the success of experimental therapy and discount potential toxicity. Patient QOL may affect the expectation of benefit from experimental therapy and, ultimately, treatment choice. Understanding the interactions between QOL and patient expectations may guide the development of improved strategies to present appropriate information to patients considering early-phase clinical trials.
Preventive Medicine | 2014
Kelly M. Bower; Roland J. Thorpe; Charles Rohde; Darrell J. Gaskin
The primary hypothesis of this study is that racial/ethnic disparities in health and health care impose costs on numerous aspects of society, both direct health care costs and indirect costs such as loss of productivity. The authors conducted three sets of analysis, assessing: (1) direct medical costs and (2) indirect costs, using data from the Medical Expenditure Panel Survey (2002–2006) to estimate the potential cost savings of eliminating health disparities for racial/ethnic minorities and the productivity loss associated with health inequalities for racial/ethnic minorities, respectively; and (3) costs of premature death, using data from the National Vital Statistics Reports (2003–2006). They estimate that eliminating health disparities for minorities would have reduced direct medical care expenditures by about
Journal of Urban Health-bulletin of The New York Academy of Medicine | 2008
Thomas A. LaVeist; Roland J. Thorpe; Terra L. Bowen-Reid; John W. Jackson; Tiffany L. Gary; Darrell J. Gaskin; Dorothy C. Browne
230 billion and indirect costs associated with illness and premature death by more than
Journal of Urban Health-bulletin of The New York Academy of Medicine | 1999
Darrell J. Gaskin; Jack Hadley
1 trillion for the years 2003–2006 (in 2008 inflation-adjusted dollars). We should address health disparities because such inequities are inconsistent with the values of our society and addressing them is the right thing to do, but this analysis shows that social justice can also be cost effective.
Medical Care Research and Review | 2009
Darrell J. Gaskin; Adrian Price; Dwayne T. Brandon; Thomas A. LaVeist
Patients in Phase I clinical trials sometimes report high expectations regarding the benefit of treatment. The authors examined a range of patient characteristics to determine which factors were associated with greater expectations of benefit from Phase I trials.