To examine racial/ethnic differences in the use of high-volume hospitals and surgeons for 10 surgical procedures with documented associations between volume and mortality.
Cross-sectional regression analysis.
New York City area hospital discharge data, 2001-2004.
Adults from 4 racial/ethnic categories (white, black, Asian, and Hispanic) who underwent surgery for cancer (breast, colorectal, gastric, lung, or pancreatic resection), cardiovascular disease (coronary artery bypass graft, coronary angioplasty, abdominal aortic aneurysm repair, or carotid endarterectomy), or orthopedic conditions (total hip replacement).
Treatment by a high-volume surgeon at a high-volume hospital.
There were 133 821 patients who underwent 1 of the 10 procedures. For 9 of the 10 procedures, black patients were significantly (P < .05) less likely (after adjustment for sociodemographic characteristics, insurance type, proximity to high-volume providers, and comorbidities) to be operated on by a high-volume surgeon at a high-volume hospital and more likely to be operated on by a low-volume surgeon at a low-volume hospital. Asian and Hispanic patients, respectively, were significantly less likely to use high-volume surgeons at high-volume hospitals for 5 and 4 of the 10 procedures and more likely to use low-volume surgeons at low-volume hospitals for 3 and 5 of the 10 procedures.
Minority patients in New York City are doubly disadvantaged in their surgical care; they are substantially less likely to use both high-volume hospitals and surgeons for procedures with an established volume-mortality association. Better information is needed about which providers minority patients have access to and how they select them.
"Patient-related difference is important in the volume-outcome relationship study. Some studies revealed the minority, older, and low SES patients are more likely to be treated at low-volume hospitals ,. And there is a negative association between SES and cancer survival rate ,,. "
[Show abstract][Hide abstract] ABSTRACT: The influence of different hospital and surgeon volumes on short-term survival after hepatic resection is not clearly clarified. By taking the known prognostic factors into account, the purpose of this study is to assess the combined effects of hospital and surgeon volume on short-term survival after hepatic resection.
13,159 patients who underwent hepatic resection between 2002 and 2006 were identified in the Taiwan National Health Insurance Research Database. Data were extracted from it and short-term survivals were confirmed through 2006. The Cox proportional hazards model was used to assess the relationship between survival and different hospital, surgeon volume and caseload combinations.
High-volume surgeons in high-volume hospitals had the highest short-term survivals, following by high-volume surgeons in low-volume hospitals, low-volume surgeons in high-volume hospitals and low-volume surgeons in low-volume hospitals. Based on Cox proportional hazard models, although high-volume hospitals and surgeons both showed significant lower risks of short-term mortality at hospital and surgeon level analysis, after combining hospital and surgeon volume into account, high-volume surgeons in high-volume hospitals had significantly better outcomes; the hazard ratio of other three caseload combinations ranging from 1.66 to 2.08 (p<0.001) in 3-month mortality, and 1.28 to 1.58 (p<0.01) in 1-year mortality.
The combined effects of hospital and surgeon volume influenced the short-term survival after hepatic resection largely. After adjusting for the prognostic factors in the case mix, high-volume surgeons in high-volume hospitals had better short-term survivals. Centralization of hepatic resection to few surgeons and hospitals might improve patients' prognosis.
PLoS ONE 01/2014; 9(1):e86444. DOI:10.1371/journal.pone.0086444 · 3.23 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The Farrow filter (1988) is a multirate filter structure which
offers the option of continuously adjustable resample ratio. This paper
presents a derivation of the method proposed by Farrow, and demonstrates
the performance and complexity of resampling filters using his
technique. The paper also develops some important system options made
available to the designer as spin-offs of the derivation
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on; 08/1997
[Show abstract][Hide abstract] ABSTRACT: Ethnic disparities in care have been documented with a number of musculoskeletal disorders including osteoporosis. We suggest a systems approach for ensuring osteoporosis care can minimize potential ethnic disparities in care.
We evaluated variations in osteoporosis treatment by age, sex, and race/ethnicity by (1) measuring the rates of patients after a fragility fracture who had been evaluated by dual-energy xray absorptiometry and/or in whom antiosteoporosis treatment had been initiated and (2) determining the rates of osteoporosis treatment in patients who subsequently had a hip fracture.
We implemented an integrated osteoporosis prevention program in a large health plan. Continuous screening of electronic medical records identified patients who met the criteria for screening for osteoporosis, were diagnosed with osteoporosis, or sustained a fragility fracture. At-risk patients were referred to care managers and providers to complete practice guidelines to close care gaps. Race/ethnicity was self-reported. Treatment rates after fragility fracture or osteoporosis treatment failures with later hip fracture were calculated. Data for the years 2008 to 2009 were stratified by age, sex, and race/ethnicity.
Women (92.1%) were treated more often than men (75.2%) after index fragility fracture. The treatment rate after fragility fracture was similar among race/ethnic groups in either sex (women 87.4%-93.4% and men 69.3%-76.7%). Osteoporotic treatment before hip fracture was more likely in white men and women and Hispanic men than other race/ethnic and gender groups.
Racial variation in osteoporosis care after fragility fracture in race/ethnic groups in this healthcare system was low when using the electronic medical record identifying care gaps, with continued reminders to osteoporosis disease management care managers and providers until those care gaps were closed.
Clinical Orthopaedics and Related Research 03/2011; 469(7):1931-5. DOI:10.1007/s11999-011-1852-8 · 2.77 Impact Factor
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