Effect of health-related quality of life on women and men's Veterans Affairs (VA) health care utilization and mortality.
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ABSTRACT:
SUBMITTER: Singh JA
PROVIDER: S-EPMC2219767 | biostudies-other | 2007 Sep
REPOSITORIES: biostudies-other
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Project description:ObjectiveVeterans' utilization of Veterans Affairs (VA) health care is likely influenced by community factors external to the VA, including Medicaid eligibility and unemployment, although such factors are rarely considered in models predicting such utilization. We measured the sensitivity of VA utilization to changes in such community factors (hereafter, "external determinants"), including the 2014 Medicaid expansion following the Affordable Care Act.Data sources/study settingWe merged VA health care enrollment and utilization data with area-level data on Medicaid policy, unemployment, employer-sponsored insurance, housing prices, and non-VA physician availability (2008-2014).Study designFor veterans aged 18-64 and ?65, we estimated the sensitivity of annual individual VA health care utilization, measured by the cost ($) of care received, to changes in external determinants using longitudinal regression models controlling for individual fixed effects.Principal findingsAll external determinants were associated with small but significant changes in VA health care utilization. In states that expanded Medicaid in 2014, this expansion was associated with 9.1 percent ($826 million) reduction in VA utilization among those aged 18-64; sizable changes occurred in all services used (inpatient, outpatient, and prescription drugs).ConclusionsChanges in alternative insurance coverage and other external determinants may affect VA health care spending. Policy makers should consider these factors in allocating VA resources to meet local demand.
| S-EPMC6232405 | biostudies-literature
Project description:BackgroundGender differences in inpatient quality of care are well known. However, whether men and women receive equivalent ambulatory care is less well understood.ObjectiveTo study gender differences in quality of care for patients receiving primary care in the Veterans Affairs (VA) Health Care System.DesignCross-sectional samples of VA enrollees during fiscal years 1999 to 2000.ParticipantsSamples of 6,442 to 86,405 men and women treated at VA facilities for whom at least 1 of 9 quality measures was available.MeasurementsAppropriate general preventive services (pneumococcal vaccination, influenza vaccination, colorectal cancer screening), and specific services for diabetes (annual hemoglobin A1c [HbA1c] testing, good glycemic control, annual diabetic eye exam), hypertension (good blood pressure control), or prior myocardial infarction (use of beta-blockers or aspirin).ResultsIn adjusted analyses, there were no substantial gender differences in rates of appropriate care. For women compared with men, the adjusted relative risk for appropriate care ranged from 0.96 for blood pressure control (95% confidence interval: 0.93 to 0.99; P=.02) to 1.05 for HbA1c< or =8.0% (95% confidence interval: 1.03 to 1.07; P<.01). Analyses stratified by age demonstrated equivalent care between men and women in 9 of the 14 subgroups evaluated.ConclusionsIn this large national health care system that predominantly serves men, the quality of ambulatory care is equivalent for women and men on numerous measures.
| S-EPMC1490181 | biostudies-literature
Project description:Background The current American College of Cardiology/American Heart Association women cardiovascular disease (CVD) risk score suboptimally estimates CVD risk for young and minority women in the military. The current study developed an internally validated CVD risk score for women military service members and veterans using the Veterans Affairs (VA) national electronic health records data. Methods and Results The study cohort included 69 574 White, Black, and Hispanic women service members and veterans aged 30 to 79 years in 2007 treated in the VA Health Care System between January 1, 2007 and December 31, 2017 (henceforth, VA women). Stratified by race and ethnicity, the new VA women CVD risk model estimated risk coefficients and 10-year CVD risk using a time-variant covariate Cox model. Harrell C-statistics, calibration plots, and net classification index were used to assess accuracy and prognostic performance of the new VA women CVD risk model. The new internally validated VA women CVD risk score performed better in predicting VA women 10-year atherosclerosis cardiovascular disease risk than the pooled cohort American College of Cardiology/American Heart Association risk score in both accuracy (White Harrell C-statistics, 70% versus 61%; Black, 68% versus 63%) and prognostic performance (White net classification index, 0.31; 95% CI, 0.26-0.33; Black net classification index, 0.06; 95% CI, 0.03-0.09). Conclusions The proposed VA women CVD risk score improves accuracy of the existing American College of Cardiology/American Heart Association CVD risk assessment tool in predicting long-term CVD risk for VA women, particularly in young and racial/ethnic minority women.
| S-EPMC8174271 | biostudies-literature
Project description:BackgroundOn April 23, 2014, US media outlets broadcast reports of excessive wait times and "secret" waitlists at some Veterans Affairs (VA) hospitals, precipitating legislation to increase Veterans' access to private sector health care.ObjectiveThe aims were to assess changes in Veterans' distrust in the VA health care system before and after the media coverage and explore sex and racial/ethnic differences in the temporal patterns.MethodsVeterans completed semistructured interviews on health care satisfaction from June 2013 to January 2015, including a validated scale of health system distrust (range: 1-5). We used linear splines with knots at 90-day intervals to assess changes in distrust before and after April 23, 2014 ("day 0") in linear mixed models. To explore sex and racial/ethnic differences in temporal patterns, we stratified models by sex and tested for interactions of race/ethnicity with time.ResultsFor women (n=600), distrust scores (mean=2.09) increased by 0.45 in days 0-90 (P<0.01), then decreased by 0.45 in days 90-180 (P<0.01). Among men (n=575), distrust scores (mean=2.05) increased by 0.18 in days 0-90 (P=0.059). Distrust levels were significantly higher for Black versus White women (time adjusted mean difference=0.21) and for Black and Hispanic versus White men (differences=0.26 and 0.18). However, the temporal patterns did not vary by race/ethnicity for women or men (interaction P=0.85 and 0.21, respectively).ConclusionsHealth system distrust increased in women following media coverage of VA access problems and was higher in Black/Hispanic versus White Veterans at all time periods. Such perceptions could influence Veteran decisions to seek health care in the community rather than VA.
| S-EPMC8121177 | biostudies-literature
Project description:ImportanceHealth insurers alter the size of their networks, offering lower premiums in exchange for a more limited set of care choices. However, little is known about the association of network size with health care utilization and outcomes, particularly outside of the context of private insurance plans.ObjectiveTo evaluate changes in health care utilization after an expansion in the Veterans Affairs Health Care System (VA) health care network.Design, setting, and participantsThis cross-sectional study included individuals enrolled in the VA from 2015 to 2018. Considering that the health care network expansion only affected a portion of enrollees, only those who lived between 20 and 60 miles from a VA facility were included. Data analysis was conducted from September 2020 to February 2021.ExposuresIndividuals who lived 40 or more miles away from a VA facility were automatically eligible for an expanded health care network through non-VA practitioners (VA community care); those living less than 40 miles away from a VA facility were not automatically eligible.Main outcomes and measuresA regression discontinuity analysis of individuals who became eligible for an expanded network based on geographic residence was performed. Inpatient and outpatient utilization rates per VA enrollee during the study period, with utilization differentiated by whether services were provided by a VA or non-VA practitioner, were calculated.ResultsThe study included more than 2.7 million unique individuals whose characteristics largely reflected the demographic characteristics of the VA system (mean [SD] age, 62 [17] years; 2 589 252 [90%] men; 282 168 [10%] Black; 2 203 352 [77%] White). Patient characteristics (age, race, and comorbidities) did not vary significantly by eligibility status. Outpatient utilization was 3.2% higher (95% CI, 1.0% to 5.3%) among those with access to an expanded network. Increased utilization was most pronounced among those with a higher VA disability rating (3.1%; 95% CI, 0.5% to 5.7%) and among younger individuals without service-connected disabilities (7.0%, 95% CI, 1.7% to 12.3%). There was no evidence of changes to inpatient utilization (1.2%; 95% CI. -2.5% to 4.9%; P = .37) for those with access to the expanded network.Conclusions and relevanceIn this study, expanded network access was associated with increased total health care utilization among affected enrollees in the VA. Understanding how network size affects utilization is immediately informative for the VA, but it can also help to guide policies for insurance markets.
| S-EPMC8548943 | biostudies-literature
Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has demonstrated the need to share data and biospecimens broadly to optimize clinical outcomes for US military Veterans.MethodsIn response, the Veterans Health Administration established VA SHIELD (Science and Health Initiative to Combat Infectious and Emerging Life-threatening Diseases), a comprehensive biorepository of specimens and clinical data from affected Veterans to advance research and public health surveillance and to improve diagnostic and therapeutic capabilities.ResultsVA SHIELD now comprises 12 sites collecting de-identified biospecimens from US Veterans affected by SARS-CoV-2. In addition, 2 biorepository sites, a data processing center, and a coordinating center have been established under the direction of the Veterans Affairs Office of Research and Development. Phase 1 of VA SHIELD comprises 34 157 samples. Of these, 83.8% had positive tests for SARS-CoV-2, with the remainder serving as contemporaneous controls. The samples include nasopharyngeal swabs (57.9%), plasma (27.9%), and sera (12.5%). The associated clinical and demographic information available permits the evaluation of biological data in the context of patient demographics, clinical experience and management, vaccinations, and comorbidities.ConclusionsVA SHIELD is representative of US national diversity with a significant potential to impact national healthcare. VA SHIELD will support future projects designed to better understand SARS-CoV-2 and other emergent healthcare crises. To the extent possible, VA SHIELD will facilitate the discovery of diagnostics and therapeutics intended to diminish COVID-19 morbidity and mortality and to reduce the impact of new emerging threats to the health of US Veterans and populations worldwide.
| S-EPMC9801224 | biostudies-literature
Project description:BackgroundMale veterans receiving Veterans Health Administration (VA) care have worse health than men in the general population. Less is known about health status in women veteran VA patients, a rapidly growing population.ObjectiveTo characterize health status of women (vs men) veteran VA patients across age cohorts, and assess gender differences in the effect of social support upon health status.Design and patientsData came from the national 1999 Large Health Survey of Veteran Enrollees (response rate 63%) and included 28,048 women and 651,811 men who used VA in the prior 3 years.MeasurementsDimensions of health status from validated Veterans Short Form-36 instrument; social support (married, living arrangement, have someone to take patient to the doctor).ResultsIn each age stratum (18 to 44, 45 to 64, and > or =65 years), Physical Component Summary (PCS) and Mental Component Summary (MCS) scores were clinically comparable by gender, except that for those aged > or =65, mean MCS was better for women than men (49.3 vs 45.9, P<.001). Patient gender had a clinically insignificant effect upon PCS and MCS after adjusting for age, race/ethnicity, and education. Women had lower levels of social support than men; in patients aged <65, being married or living with someone benefited MCS more in men than in women.ConclusionsWomen veteran VA patients have as heavy a burden of physical and mental illness as do men in VA, and are expected to require comparable intensity of health care services. Their ill health occurs in the context of poor social support, and varies by age.
| S-EPMC1513164 | biostudies-literature
Project description:ImportancePostcolonoscopy colorectal cancer (PCCRC) refers to colorectal cancer (CRC) diagnosed after a colonoscopy in which no cancer was found and is reflective of colonoscopy quality at the individual and system levels. Colonoscopy is widely performed in the Veterans Affairs (VA) health care system, but the prevalence of PCCRC and its associated mortality are unknown.ObjectiveTo examine PCCRC prevalence and its all-cause mortality (ACM) and CRC-specific mortality (CSM) within the VA health care system.Design, setting, and participantsThis retrospective cohort study used VA-Medicare administrative data to identify 29 877 veterans aged 50 to 85 years with newly diagnosed CRC between January 1, 2003, and December 31, 2013. Patients whose colonoscopy occurred less than 6 months before CRC diagnosis with no other colonoscopy within the previous 36 months were categorized as having detected CRC (DCRC). Those who had a colonoscopy that did not detect CRC between 6 and 36 months before CRC diagnosis were categorized as having postcolonoscopy CRC (PCCRC-3y). A third group included patients with CRC and no colonoscopy within the prior 36 months. The final analysis of the data was performed in September 2022.ExposuresPrior receipt of colonoscopy.Main outcomes and measuresCox proportional hazards regression (with censoring, last follow-up December 31, 2018) analyses were conducted to compare PCCRC-3y and DCRC for 5-year ACM and CSM after CRC diagnosis.ResultsOf 29 877 patients with CRC (median [IQR] age, 67 [60-75] years; 29 353 [98%] male; 5284 [18%] Black, 23 971 [80%] White, and 622 [2%] other), 1785 (6%) were classified as having PCCRC-3y and 21 811 (73%) as having DCRC. The 5-year ACM rates were 46% vs 42% for patients with PCCRC-3y vs patients with DCRC. The 5-year CSM rates were 26% vs 25% for patients with PCCRC-3y vs patients with DCRC. In multivariable Cox proportional hazards regression analysis, there was no significant difference in ACM and CSM between patients with PCCRC-3y (adjusted hazard ratio [aHR], 1.04; 95% CI, 0.98-1.11; P = .18) and patients with DCRC (aHR, 1.04; 95% CI, 0.95-1.13; P = .42). However, compared with patients with DCRC, patients with no prior colonoscopy had significantly higher ACM (aHR, 1.76; 95% CI, 1.70-1.82; P < .001) and CSM (aHR, 2.22; 95% CI, 2.12-2.32; P < .001). Compared with patients with DCRC, patients with PCCRC-3y had significantly lower odds of having undergone colonoscopy performed by a gastroenterologist (odds ratio, 0.48; 95% CI, 0.43-0.53; P < .001).Conclusions and relevanceThis study found that PCCRC-3y constituted 6% of CRCs in the VA system, which is similar to other settings. Compared with patients with CRC detected by colonoscopy, those with PCCRC-3y have comparable ACM and CSM.
| S-EPMC10080371 | biostudies-literature
Project description:ImportanceWomen veterans increasingly seek care yet continue to face barriers in the Veterans Health Administration (VA), which predominantly cares for men. Evidence-based collaborative care models can improve patient access to treatment of depression, which is experienced at higher rates by women. While the VA has implemented these care models nationally, it is not known whether access improvements occur equitably across genders in primary care.ObjectiveTo examine whether the VA's national Primary Care-Mental Health Integration (PC-MHI) initiative (beginning 2007) expanded realized access to mental health care similarly for men and women.Design, setting, and participantsThis cohort study included 5 377 093 million primary care patients assigned to 396 VA clinics that provided integrated mental health services nationally between October 2013 and September 2016. Data analysis occurred between May 2017 and July 2020.ExposuresClinic PC-MHI penetration, calculated as the proportion of clinic patients who saw an integrated specialist per fiscal year.Main outcomes and measuresEstimates of mean VA health care utilization (mental health, primary care, other specialty care, telephone, hospitalizations) and median total costs for men and women. Multilevel models adjusted for year, clinic, patient characteristics, and interactions between patient-defined gender and clinic PC-MHI penetration.ResultsThis study examined 5 377 093 veterans (448 455 [8.3%] women; 3 744 140 [69.6%] White) with a mean (SD) baseline age 62.0 (16.6) years. Each percentage-point increase in the proportion of clinic patients who saw an integrated specialist was associated with 38% fewer mental health visits per year for women (incidence rate ratio [IRR], 0.62; 95% CI, 0.60-0.65), but 39% more visits for men (IRR, 1.39; 95% CI, 1.34-1.44; P < .001). Both men and women had more primary care visits (men: IRR, 1.40; 95% CI, 1.36-1.45; women: IRR, 1.22; 95% CI, 1.17-1.28; P < .001) and total costs (men: β [SE], 2.23 [0.10]; women: β [SE], 1.24 [0.15]; P = .06), but women had 74% fewer hospitalizations than men related to clinics with mental health integration (IRR, 0.26; 95% CI, 0.19-0.36 vs IRR, 1.02; 95% CI, 0.83-1.24; P < .001).Conclusions and relevanceWhile greater outpatient service use for men was observed in this study, PC-MHI was associated with a decrease in mental health specialty visits (and hospitalizations) for women veterans, potentially signifying a shift of services to primary care. With increasing patient choice for where veterans receive care, the VA must tailor medical care to the needs of rising numbers of women patients. Differences in health care utilization by gender highlight the importance of anticipating policy impacts on and tailoring services for patients in the numerical minority in the VA and other health systems.
| S-EPMC7576407 | biostudies-literature
Project description:BackgroundThere is conflicting evidence about whether mortality after myocardial infarction is higher among women than among men. This study aimed to compare sex differences in post myocardial infarction mortality in the Veterans Affairs system, a setting where the predominant subjects are men.Materials and methodsThe Veterans Affairs Corporate Data Warehouse inpatient and laboratory chemistry databases were used to identify patients diagnosed with acute myocardial infarction from inpatient records from January 1st, 2005 to April 25th, 2015. Mortality data was obtained through the Veterans Affairs death registry.ResultsA total of 130,241 patients were identified; 127,711 men (98%) and 2,530 women (2%). Men typically had more comorbidities including congestive heart failure (54% vs. 46%, P value < 0.001), diabetes mellitus (54% vs. 48%, P value < 0.001), and chronic kidney disease (39% vs. 28%, P value < 0.001). The peak troponin-I was significantly higher among men (16.0 vs. 10.7 ng/mL, P value = 0.03). The mean follow-up time was 1490.67 ± 8 days. After adjusting for differences in demographics and comorbidities, women had a significantly lower risk of mortality (hazard ration [HR]: 0.747, P value < 0.0001) as compared to men.ConclusionsIn a health care system where the predominant subjects are men, women had better short- and long-term survival than men after an acute myocardial infarction. Further investigation is warranted to determine the reasons behind the improved outcomes in women post myocardial infarction in the veteran population.
| S-EPMC8477340 | biostudies-literature