Christopher P. Childers
University of California, Los Angeles
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Publication
Featured researches published by Christopher P. Childers.
Journal of Clinical Oncology | 2017
Christopher P. Childers; Kimberly K. Childers; Melinda Maggard-Gibbons; James Macinko
Purpose In the United States, 3.8 million women have a history of breast (BC) or ovarian cancer (OC). Up to 15% of cases are attributable to heritable mutations, which, if identified, provide critical knowledge for treatment and preventive care. It is unknown how many patients who are at high risk for these mutations have not been tested and how rates vary by risk criteria. Methods We used pooled cross-sectional data from three Cancer Control Modules (2005, 2010, 2015) of the National Health Interview Survey, a national in-person household interview survey. Eligible patients were adult females with a history of BC and/or OC meeting select 2017 National Comprehensive Cancer Network eligibility criteria on the basis of age of diagnosis and family history. Outcomes included the proportion of individuals reporting a history of discussing genetic testing with a health professional, being advised to undergo genetic testing, or undergoing genetic testing for BC or OC. Results Of 47,218 women, 2.7% had a BC history and 0.4% had an OC history. For BC, 35.6% met one or more select eligibility criteria; of those, 29.0% discussed, 20.2% were advised to undergo, and 15.3% underwent genetic testing. Testing rates for individual eligibility criteria ranged from 6.2% (relative with OC) to 18.2% (diagnosis ≤ 45 years of age). For OC, 15.1% discussed, 13.1% were advised to undergo, and 10.5% underwent testing. Using only four BC eligibility criteria and all patients with OC, an estimated 1.2 to 1.3 million individuals failed to receive testing. Conclusion Fewer than one in five individuals with a history of BC or OC meeting select National Cancer Comprehensive Network criteria have undergone genetic testing. Most have never discussed testing with a health care provider. Large national efforts are warranted to address this unmet need.
JAMA Surgery | 2018
Christopher P. Childers; Melinda Maggard-Gibbons
Importance Increasing value requires improving quality or decreasing costs. In surgery, estimates for the cost of 1 minute of operating room (OR) time vary widely. No benchmark exists for the cost of OR time, nor has there been a comprehensive assessment of what contributes to OR cost. Objectives To calculate the cost of 1 minute of OR time, assess cost by setting and facility characteristics, and ascertain the proportion of costs that are direct and indirect. Design, Setting, and Participants This cross-sectional and longitudinal analysis examined annual financial disclosure documents from all comparable short-term general and specialty care hospitals in California from fiscal year (FY) 2005 to FY2014 (N = 3044; FY2014, n = 302). The analysis focused on 2 revenue centers: (1) surgery and recovery and (2) ambulatory surgery. Main Outcomes and Measures Mean cost of 1 minute of OR time, stratified by setting (inpatient vs ambulatory), teaching status, and hospital ownership. The proportion of cost attributable to indirect and direct expenses was identified; direct expenses were further divided into salary, benefits, supplies, and other direct expenses. Results In FY2014, a total of 175 of 302 facilities (57.9%) were not for profit, 78 (25.8%) were for profit, and 49 (16.2%) were government owned. Thirty facilities (9.9%) were teaching hospitals. The mean (SD) cost for 1 minute of OR time across California hospitals was
JAMA | 2017
Christopher P. Childers; Melinda Maggard-Gibbons; Paul G. Shekelle
37.45 (
JAMA Oncology | 2018
Kimberly K. Childers; Melinda Maggard-Gibbons; James Macinko; Christopher P. Childers
16.04) in the inpatient setting and
JAMA | 2018
Christopher P. Childers; Melinda Maggard-Gibbons
36.14 (
Geriatric Orthopaedic Surgery & Rehabilitation | 2018
Christopher P. Childers; Anaar Siletz; Emily S. Singer; Claire M. Faltermeier; Q. Lina Hu; Clifford Y. Ko; Gregory J. Golladay; Stephen L. Kates; Elizabeth C. Wick; Melinda Maggard-Gibbons
19.53) in the ambulatory setting (P = .65). There were no differences in mean expenditures when stratifying by ownership or teaching status except that teaching hospitals had lower mean (SD) expenditures than nonteaching hospitals in the inpatient setting (
Geriatric Orthopaedic Surgery & Rehabilitation | 2018
Anaar Siletz; Christopher P. Childers; Claire M. Faltermeier; Emily S. Singer; Q. Lina Hu; Clifford Y. Ko; Stephen L. Kates; Melinda Maggard-Gibbons; Elizabeth C. Wick
29.88 [
American Journal of Emergency Medicine | 2018
Sean M. O'Neill; Isomi M Miake-Lye; Christopher P. Childers; Selene Mak; Jessica M Beroes; Melinda Maggard-Gibbons; Paul G. Shekelle
9.06] vs
Systematic Reviews | 2018
Christopher P. Childers; Melinda Maggard-Gibbons; Jesus G. Ulloa; Ian T. MacQueen; Isomi M Miake-Lye; Roberta Shanman; Selene Mak; Jessica M Beroes; Paul G. Shekelle
38.29 [
Archive | 2018
Christopher P. Childers; Melinda Maggard Gibbons; Jesus G. Ulloa; Ian T. MacQueen; Isomi M Miake-Lye; Roberta Shanman; Selene Mak; Jessica M Beroes; Paul G. Shekelle
16.43]; P = .006). Direct expenses accounted for 54.6% of total expenses (