Utilization of Primary Care by Veterans with Psychiatric Illness in the National Department of Veterans Affairs Health Care System

BACKGROUND

Psychiatric illness is associated with increased medical morbidity and mortality. Studies of primary care utilization by patients with psychiatric disorders have been limited by nonrepresentative samples and confounding by medical co-morbidity.

OBJECTIVE

To determine whether patients with psychiatric disorders use primary care services differently than patients without these disorders, after controlling for medical co-morbidity.

DESIGN

Data from the 1999 Large Health Survey of Veterans (LHS) ( = 559,985) were linked to VA administrative data in order to identify veterans who received primary care. After adjusting for sociodemographic and clinical characteristics, medical co-morbidity, and facility characteristics, multivariate logistic regression was used to evaluate whether seven psychiatric diagnoses were associated with an increased or decreased likelihood of any primary care visit over 12 months.

RESULTS

Veterans with either schizophrenia, bipolar disorder or a drug use disorder were less likely to have had any primary care visit during the study period: [OR 0.61, 95% CI 0.59 to 0.63], [OR 0.63, 95% CI 0.60 to 0.67] and [OR 0.88, 95% CI 0.83 to 0.92], respectively, than veterans without these diagnoses, even after controlling for medical co-morbidity. Among patients with any primary care utilization, those with six of the seven psychiatric diagnoses had fewer visits in the study period.

CONCLUSIONS

Patients with schizophrenia, bipolar disorder or drug use disorders use less primary care than patients without these disorders. Interventions are needed to increase engagement in primary care by these vulnerable groups.Key Words: primary care, psychiatric illness, Axis I psychiatric disorders, Veterans Affairs Health Care System     

Racial,Ethnic, and Gender Equity in Veteran Satisfaction with Health Care in the Veterans Affairs Health Care System

Background

Patient satisfaction is an important dimension of health care quality. The Veterans Health Administration (VA) is committed to providing high-quality care to an increasingly diverse patient population.

Objective

To assess Veteran satisfaction with VA health care by race/ethnicity and gender.

Design and Participants

We conducted semi-structured telephone interviews with gender-specific stratified samples of black, white, and Hispanic Veterans from 25 predominantly minority-serving VA Medical Centers from June 2013 to January 2015.

Main Measures

Satisfaction with health care was assessed in 16 domains using five-point Likert scales. We compared the proportions of Veterans who were very satisfied, somewhat satisfied, and less than satisfied (i.e., neither satisfied nor dissatisfied, somewhat dissatisfied, or very dissatisfied) in each domain, and used random-effects multinomial regression to estimate racial/ethnic differences by gender and gender differences by race/ethnicity.

Key Results

Interviews were completed for 1222 of the 1929 Veterans known to be eligible for the interview (63.3%), including 421 white, 389 black, and 396 Hispanic Veterans, 616 of whom were female. Veterans were less likely to be somewhat satisfied or less than satisfied versus very satisfied with care in each of the 16 domains. The highest satisfaction ratings were reported for costs, outpatient facilities, and pharmacy (74–76% very satisfied); the lowest ratings were reported for access, pain management, and mental health care (21–24% less than satisfied). None of the joint tests of racial/ethnic or gender differences in satisfaction (simultaneously comparing all three satisfaction levels) was statistically significant (p > 0.05). Pairwise comparisons of specific levels of satisfaction revealed racial/ethnic differences by gender in three domains and gender differences by race/ethnicity in five domains, with no consistent directionality across demographic subgroups.

Conclusions

Our multisite interviews of a diverse sample of Veterans at primarily minority-serving sites showed generally high levels of health care satisfaction across 16 domains, with few quantitative differences by race/ethnicity or gender.

     

Surgical volume and long-term survival following surgery for colorectal cancer in the Veterans Affairs Health-Care System

OBJECTIVE: The objective of this study was to examine the relationship between hospital surgical volume and long-term survival in patients with a new diagnosis of colorectal cancer who underwent surgical resection during fiscal years 1991-2000 in the Veterans Affairs (VA) health-care system. METHODS: This research was a cohort study of patients admitted to all VA hospitals with a new diagnosis of colorectal cancer who underwent surgical resection between October 1990 and September 2000 and followed through September 2001. Overall 5-yr cumulative survival was calculated from Kaplan-Meier estimates, while adjusted risk of death was estimated using a Cox proportional hazards model. Adjustment was made for differences in patient characteristics including comorbidity, receipt of therapy, and year of surgery. RESULTS: We identified 34,888 individuals with a new diagnosis of colorectal cancer in VA hospitals during fiscal years 1991-2000, of whom 22,633 (65%) underwent surgical resection. The majority (98.5%) were men, the mean age was 68 yr, and the two largest race/ethnic groups were whites (75%) and blacks (17%). The 5-yr cumulative survival was greater among those who received surgery in high surgical volume hospitals as defined by 25 or more procedures per year (52.1%) than among those who received surgery in low volume hospitals (48.3%). After adjusting for differences in patient characteristics, comorbidity, receipt of adjuvant therapy, and year of surgery, we found 7% and 11% increases in 5-yr survival for patients with colon and rectal cancers, respectively, who underwent surgical resection in high volume hospitals compared with those who had surgery in low volume hospitals. CONCLUSIONS: Greater hospital surgical volume is an independent predictor of prolonged long-term survival following surgery for both colon and rectal cancer in the VA health-care system. The volume-long-term mortality relationship is greater for rectal than for colon cancer patients, perhaps reflecting the fact that surgery for rectal cancer is more technically demanding. Future studies are needed to discover what aspects of clinical management explain these differences.     

Comparison of Medicine Resident Diabetes Care Between Veterans Affairs and Academic Health Care Systems

BACKGROUND  Although others have reported national disparities in the quality of diabetes care between the Veterans Affairs (VA) and private health care delivery systems, it is not known whether these differences persist among internal medicine resident providers in academic settings. OBJECTIVE  We compared the quality of diabetes primary care delivered by resident physicians in either a private academic health care system (AHS) or its affiliated VA health care system. DESIGN  Cross-sectional observational study PARTICIPANTS  We included patients who: had a diagnosis of diabetes, had >2 primary care visits with the same resident provider during 2005, and were not separately managed by an attending physician or endocrinologist. A total of 640 patients met our criteria and were included in the analysis. MEASUREMENTS AND RESULTS  Compared to the VA, patients in the AHS were more likely to be younger, female, have fewer medications, and be treated with insulin, but had less comorbidity. Patients in the VA were more likely to be referred for an annual eye exam (94% vs. 78%), receive lipid screening (88% vs. 74%), receive proteinuria screening (63% vs. 34%), and receive a complete foot exam (85% vs. 32%) in analyses adjusted for patient demographics and comorbidities (p-value <0.001 for all comparisons). In adjusted analyses, there were no significant differences in HbA1_c, blood pressure, or LDL cholesterol control. CONCLUSIONS  In spite of similar resident providers and practice models, there were substantial differences in the diabetes quality of care delivered in the VA and AHS. Understanding how these factors influence subsequent practice patterns is an important area for study. This research was supported by the The Joseph C. Greenfield, Jr. Scholars Endowment. The first author (BJP) was supported by a KL2 career development award through Duke University and the NIH (KL2 RR024127). This research has been presented as a poster at the VA HSR&D 2009 National Meeting in Baltimore, MD, on February 11, 2009.     

Predictors of Primary Care Management of Depression in the Veterans Affairs Healthcare System

BACKGROUND

Primary care providers (PCPs) vary in skills to effectively treat depression. Key features of evidence-based collaborative care models (CCMs) include the availability of depression care managers (DCMs) and mental health specialists (MHSs) in primary care. Little is known, however, about the relationships between PCP characteristics, CCM features, and PCP depression care.

OBJECTIVE

To assess relationships between various CCM features, PCP characteristics, and PCP depression management.

DESIGN

Cross-sectional analysis of a provider survey.

PARTICIPANTS

180 PCPs in eight VA sites nationwide.

MAIN MEASURES

Independent variables included scales measuring comfort and difficulty with depression care; collaboration with a MHS; self-reported depression caseload; availability of a collocated MHS, and co-management with a DCM or MHS. Covariates included provider type and gender. For outcomes, we assessed PCP self-reported performance of key depression management behaviors in primary care in the past 6 months.

KEY RESULTS

Response rate was 52 % overall, with 47 % attending physicians, 34 % residents, and 19 % nurse practitioners and physician assistants. Half (52 %) reported greater than eight veterans with depression in their panels and a MHS collocated in primary care (50 %). Seven of the eight clinics had a DCM. In multivariable analysis, significant predictors for PCP depression management included comfort, difficulty, co-management with MHSs and numbers of veterans with depression in their panels.

CONCLUSIONS

PCPs who felt greater ease and comfort in managing depression, co-managed with MHSs, and reported higher depression caseloads, were more likely to report performing depression management behaviors. Neither a collocated MHS, collaborating with a MHS, nor co-managing with a DCM independently predicted PCP depression management. Because the success of collaborative care for depression depends on the ability and willingness of PCPs to engage in managing depression themselves, along with other providers, more research is necessary to understand how to engage PCPs in depression management.     

Comparing Quality of Care in Veterans Affairs and Non-Veterans Affairs Settings

Background

Congress, veterans’ groups, and the press have expressed concerns that access to care and quality of care in Department of Veterans Affairs (VA) settings are inferior to access and quality in non-VA settings.

Objective

To assess quality of outpatient and inpatient care in VA at the national level and facility level and to compare performance between VA and non-VA settings using recent performance measure data.

Main Measures

We assessed Patient Safety Indicators (PSIs), 30-day risk-standardized mortality and readmission measures, and ORYX measures for inpatient safety and effectiveness; Healthcare Effectiveness Data and Information Set (HEDIS®) measures for outpatient effectiveness; and Consumer Assessment of Healthcare Providers and Systems Hospital Survey (HCAHPS) and Survey of Healthcare Experiences of Patients (SHEP) survey measures for inpatient patient-centeredness. For inpatient care, we used propensity score matching to identify a subset of non-VA hospitals that were comparable to VA hospitals.

Key Results

VA hospitals performed on average the same as or significantly better than non-VA hospitals on all six measures of inpatient safety, all three inpatient mortality measures, and 12 inpatient effectiveness measures, but significantly worse than non-VA hospitals on three readmission measures and two effectiveness measures. The performance of VA facilities was significantly better than commercial HMOs and Medicaid HMOs for all 16 outpatient effectiveness measures and for Medicare HMOs, it was significantly better for 14 measures and did not differ for two measures. High variation across VA facilities in the performance of some quality measures was observed, although variation was even greater among non-VA facilities.

Conclusions

The VA system performed similarly or better than the non-VA system on most of the nationally recognized measures of inpatient and outpatient care quality, but high variation across VA facilities indicates a need for targeted quality improvement.

     

Technology for Diabetes Care and Evaluation in the Veterans Health Administration: Veterans Affairs Research on Health Information Technologies for Diabetes Self-Management Support

Background

Like many patients with diabetes, Department of Veterans Affairs (VA) patients frequently fall short of self-management goals and experience multiple barriers to self-care. Health information technologies (HITs) may provide the tools that patients need to manage their illness under the direction of their primary care team.

Methods

We describe several ongoing projects focused on HIT resources for self-management in VA. VA researchers are developing HITs that seek to bolster a variety of potential avenues for self-management support, including patients′ relationships with other patients, connections with their informal care networks, and communication with their health care teams.

Results

Veterans Affairs HIT research projects are developing services that can address the needs of patients with multiple challenges to disease self-care, including multimorbidity, health literacy deficits, and limited treatment access. These services include patient-to-patient interactive voice response (IVR) calling systems, IVR assessments with feedback to informal caregivers, novel information supports for clinical pharmacists based on medication refill data, and enhanced pedometers.

Conclusion

Large health care systems such as the VA can play a critical role in developing HITs for diabetes self-care. To be truly effective, these efforts should include a continuum of studies: observational research to identify barriers to self-management, developmental studies (e.g., usability testing), efficacy trials, and implementation studies to evaluate utility in real-world settings. VA HIT researchers partner with operations to promote the dissemination of efficacious services, and such relationships will be critical to move HIT innovations into practice.     

Use of Medicare and Department of Veterans Affairs Health Care by Veterans with Dementia: A Longitudinal Analysis

The objectives of this study were to examine longitudinal patterns of Department of Veterans Affairs (VA)–only use, dual VA and Medicare use, and Medicare-only use by veterans with dementia. Data on VA and Medicare use were obtained from VA administrative datasets and Medicare claims (1998–2001) for 2,137 male veterans who, in 1997, used some VA services, had a formal diagnosis of Alzheimer's disease or vascular dementia in the VA, and were aged 65 and older. Generalized ordered logit models were used to estimate the effects of patient characteristics on use group over time. In 1998, 41.7% of the sample were VA-only users, 55.4% were dual users, and 2.9% were Medicare-only users. By 2001, 30.4% were VA-only users, 51.5% were dual users, and 18.1% were Medicare-only users. Multivariate results show that greater likelihood of Medicare use was associated with older age, being white, being married, having higher education, having private insurance or Medicaid, having low VA priority level, and living in a nursing home or dying during the year. Higher comorbidities were associated with greater likelihood of dual use as opposed to any single system use. Alternatively, number of functional limitations was associated with greater likelihood of Medicare-only use and less likelihood of VA-only use. These results imply that different aspects of veterans' needs have differential effects on where they seek care. Efforts to coordinate care between VA and Medicare providers are necessary to ensure that patients receive high-quality care, especially patients with multiple comorbidities.     

Association Between Lipid Testing and Statin Adherence in the Veterans Affairs Health System

BackgroundMeasurement with a lipid panel after statin initiation and in long-term follow-up is recommended in both 2013 and 2018 cholesterol guidelines to assess statin efficacy and adherence. We assessed whether routine laboratory evaluation with lipid panels is associated with greater statin adherence.MethodsWe identified patients with atherosclerotic cardiovascular disease within the entire Veterans Affairs (VA) health care system with at least one primary care visit between October 2013 and September 2014, who were on statin therapy (n = 813,887; n = 52,583 for new statin users). Statin adherence was determined using medication refill data and assessed by proportion of days covered (PDC). Association between number of lipid panels completed and PDC was assessed with adjusted regression models.ResultsWithin the study period, the mean number of lipid panels that were completed per patient was 1.5 ± 1.0. In the overall cohort, percentage of statin users with PDC ≥ 80% was 66.0% for patients with ≥ 1 lipid panel and 61.2% for patients with 0 lipid panels (P < .0001). Among new statin users, PDC ≥ 80% was 68.0% for patients with lipid panels completed within 4-12 weeks of therapy initiation and 59.3% for those without lipid panels completed within the timeframe (P < .0001). In adjusted analysis, number of lipid panels completed was associated with a modest but significant increase in PDC, when PDC was evaluated as a continuous (beta-coefficient 0.0054, P < .001) or categorical (PDC ≥ 80% [odds ratio (OR) 1.01; 95% confidence interval (CI), 1.00-1.01]) measure of statin adherence. The significant association was also observed in new users (beta-coefficient 0.0058, P < .001; OR 1.02; 95% CI, 1.00-1.03).ConclusionRoutine, guideline-directed completion of lipid panels in atherosclerotic cardiovascular disease patients on statins overall and among new statin users is associated with a modes6t but significant increase in statin adherence.     

Does Mental Health Care Integration Affect Primary Care Clinician Burnout? Results from a Longitudinal Veterans Affairs Survey

BackgroundBurnout among primary care clinicians (PCPs) is associated with negative health and productivity consequences. The Veterans Health Administration (VA) embedded mental health specialists and care managers in primary care to manage common psychiatric diseases. While challenging to implement, mental health integration is a team-based care model thought to improve clinician well-being.ObjectiveTo examine the relationships between PCP-reported burnout (and secondarily, job satisfaction) and mental health integration at provider and clinic levelsDesignAnalysis of 286 cross-sectional surveys in 2012 (n = 171) and 2013 (n = 115)Participants210 PCPs in one VA regionMain MeasuresOutcomes were PCP-reported burnout (Maslach Burnout Inventory emotional exhaustion subscale), and secondarily, job satisfaction. Two independent variables represented mental health integration: (1) PCP-specialty communication rating and (2) proportion of clinic patients who saw integrated specialists. Using multilevel regression models, we examined PCP-reported burnout (and job satisfaction) and mental health integration, adjusting for PCP characteristics (e.g., gender), PCP ratings of team functioning (communication, knowledge/skills, satisfaction), and organizational factors.Key ResultsOn average, PCPs reported high burnout (29, range = 9–54) across all VA healthcare systems. In total, 46% of PCPs reported “very easy” communication with mental health; 9% of primary clinic patients had seen integrated specialists. Burnout was not significantly associated with mental health communication ratings (β coefficient = − 0.96, standard error [SE] = 1.29, p = 0.46), nor with proportion of clinic patients who saw integrated specialists (β = 0.02, SE = 0.11, p = 0.88). No associations were observed with job satisfaction either. Among study participants, PCPs with poor team functioning, as exhibited by low team communication ratings, reported high burnout (β = − 1.28, SE = 0.22, p < 0.001) and low job satisfaction (β = 0.12, SE = 0.02, p < 0.001).ConclusionsAs currently implemented, primary care and mental health integration did not appear to impact PCP-reported burnout, nor job satisfaction. More research is needed to explore care model variation among clinics in order to optimize implementation to enhance PCP well-being.KEY WORDS: burnout, primary care, mental health, communication, veterans     

Rapid HIV testing experience at Veterans Affairs North Texas Health Care System's Homeless Stand Downs

In the USA, 21% of the estimated 1.1 million people living with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) are unaware they are HIV-infected. In 2011, Veterans Health Administration (VHA)'s Office of Public Health in conjunction with VHA's Health Care for Homeless Veterans Program funded grants to support rapid HIV testing at homeless outreach events because homeless populations are more likely to obtain emergent rather than preventive care and have a higher HIV seroprevalence as compared to the general population. Because of a Veterans Affairs North Texas Health Care System (VANTHCS)'s laboratory testing requirement, VANTHCS partnered with community agencies to offer rapid HIV testing for the first time at VANTHCS' 2011 Homeless Stand Downs in Dallas, Fort Worth, and Texoma, Texas. Homeless Stand Downs are outreach events that connect Veterans with services. Veterans who declined testing were asked their reasons for declining. Comparisons by Homeless Stand Down site used Pearson χ², substituting Fisher's Exact tests for expected cell sizes <5. Of the 910 Veterans attending the Homeless Stand Downs, 261 Veterans reported reasons for declining HIV testing, and 133 Veterans were tested, where 92% of the tested Veterans obtained their test results at the events – all tested negative. Veterans' reported reasons for declining HIV testing included previous negative result (n=168), no time to test (n=49), no risk factors (n=36), testing is not a priority (n=11), uninterested in knowing serostatus (n=6), and HIV-infected (n=3). Only “no time to test” differed significantly by Homeless Stand Down site. Nonresponse rate was 54%. Offering rapid HIV testing at Homeless Stand Downs is a promising testing venue since 15% of Veterans attending VANTHCS' Homeless Stand Downs were tested for HIV, and majority obtained their HIV test results at point-of-care while further research is needed to determine how to improve these rates.     

Infertility Services for Veterans Enrolled in Veterans Health Administration Care

BackgroundInfertility care is provided to Veterans through the Veterans Health Administration (VHA) medical benefits package and includes infertility evaluation and many infertility treatments.ObjectiveOur objective was to examine the incidence and prevalence of infertility diagnoses and the receipt of infertility healthcare among Veterans using Veterans Health Administration (VHA) healthcare from 2018 to 2020.MethodsVeterans using the VHA and diagnosed with infertility during October 2017–September 2020 (FY18–20) were identified in VHA administrative data and through VA-purchased care (i.e., community care) claims. Infertility was categorized among men as azoospermia, oligospermia, and other and unspecified male infertility, and among women as anovulation, infertility of tubal origin, infertility of uterine origin, and other and unspecified female infertility using diagnosis and procedure codes (ICD-10, CPT).Key ResultsA total of 17,216 Veterans had at least one VHA infertility diagnosis in FY18, FY19, or FY20, including 8766 male Veterans and 8450 female Veterans. Incident diagnoses of infertility were observed in 7192 male Veterans (10.8/10,000 person (p)-years) and 5563 female Veterans (93.6/10,000 p-years). A large proportion of Veterans who were diagnosed with infertility received an infertility-related procedure in the year of their incident diagnosis (males: 74.7, 75.3, 65.0%, FY18–20 respectively; females: 80.9, 80.8, 72.9%, FY18–20 respectively).ConclusionsIn comparison to a recent study of active duty servicemembers, we found a lower rate of infertility among Veteran men and a higher rate among Veteran women. Further work is needed to investigate military exposures and circumstances that may lead to infertility. Given the rates of infertility among Veterans and active duty servicemembers, enhancing communications between Department of Defense and VHA systems regarding sources of and treatment for infertility is essential to help more men and women benefit from infertility care during military service or as Veterans.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-023-08080-z.