Linda G. Kimsey
Georgia Southern University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Linda G. Kimsey.
Journal of Trauma-injury Infection and Critical Care | 2016
Cheryl K. Zogg; Wei Jiang; Muhammad Ali Chaudhary; John W Scott; Adil A. Shah; Stuart R. Lipsitz; Joel S. Weissman; Zara Cooper; Ali Salim; Stephanie L. Nitzschke; Louis L. Nguyen; Lorens A. Helmchen; Linda G. Kimsey; Samuel Olaiya; Peter A. Learn; Adil H. Haider
BACKGROUND Racial disparities in surgical care are well described. As many minority patients are also uninsured, increasing access to care is thought to be a viable solution to mitigate inequities. The objectives of this study were to determine whether racial disparities in 30-/90-/180- day outcomes exist within a universally insured population of military-/civilian-dependent emergency general surgery (EGS) patients and ascertain whether differences in outcomes differentially persist in care received at military versus civilian hospitals and among sponsors who are enlisted service members versus officers. It also considered longer-term outcomes of EGS care. METHODS Five years (2006–2010) of TRICARE data, which provides insurance to active/reserve/retired members of the US Armed Services and dependents, were queried for adults (≥18 years) with primary EGS conditions, defined by the AAST. Risk-adjusted survival analyses assessed race-associated differences in mortality, major acute care surgery-related morbidity, and readmission at 30/90/180 days. Models accounted for clustering within hospitals and possible biases associated with missing race using reweighted estimating equations. Subanalyses considered restricted effects among operative interventions, EGS diagnostic categories, and effect modification related to rank and military- versus civilian-hospital care. RESULTS A total of 101,011 patients were included: 73.5% white, 14.5% black, 4.4% Asian, and 7.7% other. Risk-adjusted survival analyses reported a lack of worse mortality and readmission outcomes among minority patients at 30, 90, and 180 days. Major morbidity was higher among black versus white patients (hazard ratio [95% confidence interval): 30 days, 1.23 [1.13–1.35]; 90 days, 1.18 [1.09–1.28]; and 180 days, 1.15 [1.07–1.24], a finding seemingly driven by appendiceal disorders (hazard ratio, 1.69–1.70). No other diagnostic categories were significant. Variations in military- versus civilian-managed care and in outcomes for families of enlisted service members versus officers altered associations, to some extent, between outcomes and race. CONCLUSIONS While an imperfect proxy of interventions is directly applicable to the broader United States, the contrast between military observations and reported racial disparities among civilian EGS patients merits consideration. Apparent mitigation of disparities among military-/civilian-dependent patients provides an example for which we as a nation and collective of providers all need to strive. The data will help to inform policy within the Department of Defense and development of disparities interventions nationwide, attesting to important differences potentially related to insurance, access to care, and military culture and values. LEVEL OF EVIDENCE Prognostic and epidemiologic study, level III
JAMA Surgery | 2017
Louis L. Nguyen; Ann D. Smith; Rebecca E. Scully; Wei Jiang; Peter A. Learn; Stuart R. Lipsitz; Joel S. Weissman; Lorens A. Helmchen; Tracey Koehlmoos; Andrew Hoburg; Linda G. Kimsey
Importance Although many factors influence the management of carotid artery stenosis, it is not well understood whether a preference toward procedural management exists when procedural volume and physician compensation are linked in the fee-for-service environment. Objective To explore evidence for provider-induced demand in the management of carotid artery stenosis. Design, Setting, and Participants The Department of Defense Military Health System Data Repository was queried for individuals diagnosed with carotid artery stenosis between October 1, 2006, and September 30, 2010. A hierarchical multivariable model evaluated the association of the treatment system (fee-for-service physicians in the private sector vs salary-based military physicians) with the odds of procedural intervention (carotid endarterectomy or carotid artery stenting) compared with medical management. Subanalysis was performed by symptom status at the time of presentation. The association of treatment system and of management strategy with clinical outcomes, including stroke and death, was also evaluated. Data analysis was conducted from August 15, 2015, to August 2, 2016. Main Outcomes and Measures The odds of procedural intervention based on treatment system was the primary outcome used to indicate the presence and effect of provider-induced demand. Results Of 10 579 individuals with a diagnosis of carotid artery stenosis (4615 women and 5964 men; mean [SD] age, 65.6 [11.4] years), 1307 (12.4%) underwent at least 1 procedure. After adjusting for demographic and clinical factors, the odds of undergoing procedural management were significantly higher for patients in the fee-for-service system compared with those in the salary-based setting (odds ratio, 1.629; 95% CI, 1.285-2.063; P < .001). This finding remained true when patients were stratified by symptom status at presentation (symptomatic: odds ratio, 2.074; 95% CI, 1.302-3.303; P = .002; and asymptomatic: odds ratio, 1.534; 95% CI, 1.186-1.984; P = .001). Conclusions and Relevance Individuals treated in a fee-for-service system were significantly more likely to undergo procedural management for carotid stenosis compared with those in the salary-based setting. These findings remained consistent for individuals with and without symptomatic disease.
Seminars in Arthritis and Rheumatism | 2018
Linda G. Kimsey; Joel S. Weissman; Avni Patel; Allison Drew; Tracey Koehlmoos; Jeffrey A. Sparks
OBJECTIVE To investigate factors associated with delay in initiation of initial disease-modifying antirheumatic drug (DMARD) in patients newly diagnosed with rheumatoid arthritis (RA). METHODS We performed a retrospective cohort descriptive study using administrative data from the US militarys TRICARE program (2007-2012). We identified incident RA cases using billing codes and initial DMARD receipt using prescription fill date. We quantified the time between RA presentation and initial DMARD receipt, evaluated temporal changes in delay over the study period, and investigated predictors of treatment delay (> 90 days) using logistic regression. RESULTS We identified 16,680 patients with incident RA that were prescribed DMARDs and mean age was 47.2 (SD 13.5) years. The mean time from initial RA presentation to first DMARD prescription receipt was 125.3days (SD 175.4). Over one-third (35.6%) of incident RA patients initiated DMARD > 90days after presentation. There was less treatment delay in later years of the study (mean days to DMARD of 144.7days in 2007; 109.7days in 2012). Patients prescribed opioids had mean time to DMARD of 212.8days (SD 207.4) compared to mean of 77.3days (SD 132.3) for those who did not use opioids (p < 0.0001). Patients prescribed opioids between RA presentation and initial DMARD receipt were more likely to have delay in initial DMARD (OR 4.07, 95% CI: 3.78-4.37). CONCLUSION In this large US nationwide study, delays in initial DMARD receipt for incident RA were common but time to treatment improved in recent years. While further analysis using clinical data is warranted, these findings suggest that limiting opioid use in patients newly presenting with RA may decrease delay in initiating DMARDs.
BMC Health Services Research | 2017
Linda G. Kimsey; Samuel Olaiya; Chad Smith; Andrew Hoburg; Stuart R. Lipsitz; Tracey Koehlmoos; Louis L. Nguyen; Joel S. Weissman
BackgroundThis study seeks to quantify variation in healthcare utilization and per capita costs using system-defined geographic regions based on enrollee residence within the Military Health System (MHS).MethodsData for fiscal years 2007 – 2010 were obtained from the Military Health System under a data sharing agreement with the Defense Health Agency (DHA). DHA manages all aspects of the Department of Defense Military Health System, including TRICARE. Adjusted rates were calculated for per capita costs and for two procedures with high interest to the MHS- back surgery and Cesarean sections for TRICARE Prime and Plus enrollees. Coefficients of variation (CoV) and interquartile ranges (IQR) were calculated and analyzed using residence catchment area as the geographic unit. Catchment areas anchored by a Military Treatment Facility (MTF) were compared to catchment areas not anchored by a MTF.ResultsVariation, as measured by CoV, was 0.37 for back surgery and 0.13 for C-sections in FY 2010- comparable to rates documented in other healthcare systems. The 2010 CoV (and average cost) for per capita costs was 0.26 (
Archive | 2015
Jeffrey J. Leow; Joel S. Weissman; Linda G. Kimsey; Andrew Hoburg; Lorens A. Helmchen; Wei Jiang; Stuart R. Lipsitz; Deborah Hess; Louis L. Nguyen; Steven D. Chang
3,479.51). Procedure rates were generally lower and CoVs higher in regions anchored by a MTF compared with regions not anchored by a MTF, based on both system-wide comparisons and comparisons of neighboring areas.ConclusionsIn spite of its centrally managed system and relatively healthy beneficiaries with very robust health benefits, the MHS is not immune to unexplained variation in utilization and cost of healthcare.
The American Journal of Managed Care | 2017
Jeffrey J. Leow; Joel S. Weissman; Linda G. Kimsey; Andrew Hoburg; Lorens A. Helmchen; Wei Jiang; Nathanael D. Hevelone; Stuart R. Lipsitz; Louis L. Nguyen; Steven L. Chang
Archive | 2017
Linda G. Kimsey; Avni Patel; Jeffrey A. Sparks; Tracey Koehlmoos
Joint Force Quarterly | 2017
Tracey Koehlmoos; Linda G. Kimsey; David Bishai; David Lane
Birth-issues in Perinatal Care | 2017
Anju Ranjit; Wei Jiang; Tiannan Zhan; Linda G. Kimsey; Bart Staat; Catherine T. Witkop; Sarah E Little; Adil H. Haider; Julian N. Robinson
Archive | 2016
Lisa M. Kodadek; Wei Jiang; Cheryl K. Zogg; Stuart R. Lipsitz; Joel S. Weissman; Zara Cooper; Ali Salim; Stephanie L. Nitzschke; Louis L. Nguyen; Lorens A. Helmchen; Linda G. Kimsey; Samuel Olaiya; Peter A. Learn; Adil H. Haider