J

John Hsu

Harvard University

Publishes on Healthcare Policy and Management, Health Systems, Economic Evaluations, Quality of Life, Primary Care and Health Outcomes. 94 papers and 1.9k citations.

94Publications
1.9kTotal Citations

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Top publicationsby citations

Validation of an Algorithm for Categorizing the Severity of Hospital Emergency Department Visits
Dustin W. Ballard, Mary Price, Vicki Fung et al.|Medical Care|2009
Cited by 186

BACKGROUND: Differentiating between appropriate and inappropriate resource use represents a critical challenge in health services research. The New York University Emergency Department (NYU ED) visit severity algorithm attempts to classify visits to the ED based on diagnosis, but it has not been formally validated. OBJECTIVE: To assess the validity of the NYU algorithm. RESEARCH DESIGN: A longitudinal study in a single integrated delivery system from January 1999 to December 2001. SUBJECTS: A total of 2,257,445 commercial and 261,091 Medicare members of an integrated delivery system. MEASURES: ED visits were classified as emergent, nonemergent, or intermediate severity, using the NYU ED algorithm. We examined the relationship between visit-severity and the probability of future hospitalizations and death using a logistic model with a general estimating equation approach. RESULTS: Among commercially insured subjects, ED visits categorized as emergent were significantly more likely to result in a hospitalization within 1-day (odds ratio = 3.37, 95% CI: 3.31-3.44) or death within 30-days (odds ratio = 2.81, 95% CI: 2.62-3.00) than visits categorized as nonemergent. We found similar results in Medicare patients and in sensitivity analyses using different probability thresholds. ED overuse for nonemergent conditions was not related to socio-economic status or insurance type. CONCLUSIONS: The evidence presented supports the validity of the NYU ED visit severity algorithm for differentiating ED visits based on need for hospitalization and/or mortality risk; therefore, it can contribute to evidence-based policies aimed at reducing the use of the ED for nonemergencies.

Health Information Technology and Physician-Patient Interactions: Impact of Computers on Communication during Outpatient Primary Care Visits
John Hsu, Jie Huang, Vicki Fung et al.|Journal of the American Medical Informatics Association|2005
Cited by 175Open Access

OBJECTIVE: The aim of this study was to evaluate the impact of introducing health information technology (HIT) on physician-patient interactions during outpatient visits. DESIGN: This was a longitudinal pre-post study: two months before and one and seven months after introduction of examination room computers. Patient questionnaires (n = 313) after primary care visits with physicians (n = 8) within an integrated delivery system. There were three patient satisfaction domains: (1) satisfaction with visit components, (2) comprehension of the visit, and (3) perceptions of the physician's use of the computer. RESULTS: Patients reported that physicians used computers in 82.3% of visits. Compared with baseline, overall patient satisfaction with visits increased seven months after the introduction of computers (odds ratio [OR] = 1.50; 95% confidence interval [CI]: 1.01-2.22), as did satisfaction with physicians' familiarity with patients (OR = 1.60, 95% CI: 1.01-2.52), communication about medical issues (OR = 1.61; 95% CI: 1.05-2.47), and comprehension of decisions made during the visit (OR = 1.63; 95% CI: 1.06-2.50). In contrast, there were no significant changes in patient satisfaction with comprehension of self-care responsibilities, communication about psychosocial issues, or available visit time. Seven months post-introduction, patients were more likely to report that the computer helped the visit run in a more timely manner (OR = 1.76; 95% CI: 1.28-2.42) compared with the first month after introduction. There were no other significant changes in patient perceptions of the computer use over time. CONCLUSION: The examination room computers appeared to have positive effects on physician-patient interactions related to medical communication without significant negative effects on other areas such as time available for patient concerns. Further study is needed to better understand HIT use during outpatient visits.

Anti-Influenza Drug Discovery: Structure−Activity Relationship and Mechanistic Insight into Novel Angelicin Derivatives
Jiann-Yih Yeh, Mohane Selvaraj Coumar, Jim‐Tong Horng et al.|Journal of Medicinal Chemistry|2010
Cited by 154

By using a cell-based high throughput screening campaign, a novel angelicin derivative 6a was identified to inhibit influenza A (H1N1) virus induced cytopathic effect in Madin-Darby canine kidney cell culture in low micromolar range. Detailed structure-activity relationship studies of 6a revealed that the angelicin scaffold is essential for activity in pharmacophore B, while meta-substituted phenyl/2-thiophene rings are optimal in pharmacophore A and C. The optimized lead 4-methyl-9-phenyl-8-(thiophene-2-carbonyl)-furo[2,3-h]chromen-2-one (8g, IC(50) = 70 nM) showed 64-fold enhanced activity compared to the high throughput screening (HTS) hit 6a. Also, 8g was found effective in case of influenza A (H3N2) and influenza B virus strains similar to approved anti-influenza drug zanamivir (4). Preliminary mechanistic studies suggest that these compounds act as anti-influenza agents by inhibiting ribonucleoprotein (RNP) complex associated activity and have the potential to be developed further, which could form the basis for developing additional defense against influenza pandemics.