Dual Medicare and Veteran Health Administration use and ambulatory care sensitive hospitalizations

Association Between Mental Health Conditions and Outpatient Care Fragmentation: a National Study of Older High-Risk Veterans

BACKGROUND

Healthcare fragmentation may lead to adverse consequences and may be amplified among older, sicker patients with mental health (MH) conditions.

OBJECTIVE

To determine whether older Veterans with MH conditions have more fragmented outpatient non-MH care, compared with older Veterans with no MH conditions.

DESIGN

Retrospective cohort study using FY2014 Veterans Health Administration (VHA) administrative data linked to Medicare data.

PARTICIPANTS

125,481 VHA patients ≥ 65 years old who were continuously enrolled in Medicare Fee-for-Service Parts A and B and were at high risk for hospitalization.

MAIN OUTCOME AND MEASURES

The main outcome was non-MH care fragmentation as measured by (1) non-MH provider count and (2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen non-MH provider. We tested the association between no vs. any MH conditions and outcomes using Poisson regression and fractional regression with logit link, respectively. We also compared Veterans with no MH condition with each MH condition and combinations of MH conditions, adjusting for sociodemographics, comorbidities, and drive-time to VHA specialty care.

KEY RESULTS

In total, 47.3% had at least one MH condition. Compared to those without MH conditions, Veterans with MH conditions had less fragmented care, with fewer non-MH providers (IRR = 0.96; 95% CI: 0.96-0.96) and more concentrated care with their usual provider (OR = 1.08 for a higher UPC; 95% CI: 1.07, 1.09) in adjusted models. Secondary analyses showed that those with individual MH conditions (e.g., depression) had fewer non-MH providers (IRR range: 0.86-0.98) and more concentrated care (OR range: 1.04-1.20). A similar pattern was observed when examining combinations of MH conditions (IRR range: 0.80-0.90; OR range: 1.16-1.30).

CONCLUSIONS

Contrary to expectations, having a MH condition was associated with less fragmented non-MH care among older, high-risk Veterans. Further research will determine if this is due to different needs, underuse, or appropriate use of healthcare.

Outpatient care fragmentation in Veterans Affairs patients at high-risk for hospitalization

OBJECTIVE

To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization.

DATA SOURCES

Veterans Affairs (VA) and Medicare data.

STUDY DESIGN

We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental healthcare utilization.

DATA EXTRACTION METHODS

We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year.

PRINCIPAL FINDINGS

Mean (standard deviation) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI = 1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively).

CONCLUSIONS

Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.

Trends in quality of primary care in the United States, 2007-2016

During the past decade, many reforms were proposed and implemented for improving primary care in the US. This study assessed improvements in quality of primary care, using a nationally representative database. We conducted a retrospective trend analysis of National Inpatient Sample data (2007–2016). The quality of primary care was assessed using Prevention Quality Indicators (PQIs), which consist of 13 sets of preventable hospitalization conditions. PQI hospitalization decreased from 154,565 to 151,168 per million hospitalizations during the study period (relative decrease, 2.2%; P = 0.041). Age-adjusted hospitalization rate increased for diabetes short-term complications (relative increase, 46.9%; P < 0.001) and lower-extremity amputations (relative increase, 15.1%; P = 0.035). Age stratified trends showed that hospitalization rates decreased significantly in all age-groups for diabetes short-term complications. For lower-extremity amputations, hospitalization rates increased significantly in younger age groups and decreased significantly in the older age groups. All other PQIs showed either decreasing or no change in trends. Adults aged 18–64 years should be the focus for future prevention attempts for diabetes complications. Identifying and acting on the factors responsible for these changes could help in reversing the concerning trends observed in this study. Existing strategies should focus on improving access to diabetes care and self-management.

Landscapes on Prevention Quality Indicators: A Spatial Analysis of Diabetes Preventable Hospitalizations in Portugal (2016-2017)

Preventable hospitalizations due to complications of diabetes mellitus (DM), represented by the related prevention quality indicators (PQI), are ambulatory care-sensitive conditions that can be prevented and controlled through effective primary health care (PHC) treatment. It is important to reduce mortality and promote the quality of life to diabetic patients in regions with higher hospitalization rates. The study aims to analyze the results of the DM age-sex-adjusted PQI, by groups of health centers (ACES), distributed in the Portuguese territory. The most representative PQI at a national level were identified, and the trends were mapped and analyzed. Also, it presents the ACES with the highest age-adjusted rates of avoidable hospitalizations for DM. The absolute number of preventable hospitalizations for all DM complications in Portugal has decreased by 20%, thus passing from the rate of 79 in 2016 to 65.2/100,000 inhabitants in 2017. Despite the improvement in results for PQI 03, 20 of 48 ACES that were above the national 2017 median rate in 2016, achieved better results the following year, and for the overall preventable diabetes hospitalizations (PQI 93) only 11 out 39, revealing the need for further studies and PHC actions to improve the diabetic quality of life.

Mental Health Conditions and Hospitalizations for Ambulatory Care Sensitive Conditions Among Veterans with Diabetes

BACKGROUND

Veterans with diabetes and mental health conditions have a higher risk for suboptimal care and complications related to their diseases than veterans with diabetes who do not have mental health conditions. We hypothesized that among veterans with diabetes, patients with mental health conditions are more likely to be hospitalized for ambulatory care sensitive conditions (ACSC) than those without mental health conditions.

OBJECTIVES

To examine the association between depression, anxiety, and serious mental illness and hospitalizations for ACSC among veterans with diabetes after controlling for demographics and comorbidities.

METHODS

We used a retrospective cohort design with merged Veterans Health Administration (VHA) and Medicare electronic health records from 2008 to 2010. Andersen's Behavioral Model of Health Services Use was used to select the variables associated with hospitalizations for ACSC (ie, predisposing, enabling and need characteristics, personal health practices, and external environment). We used chi-square tests and logistic regressions for our analyses.

RESULTS

Among the dual VHA/Medicare-enrolled veterans with any hospitalization in 2010, 30% had hospitalizations for ACSC. Veterans with diabetes and co-occurring depression were at increased likelihood to be hospitalized for ACSC, after adjusting for all other covariates (adjusted odds ratio, 1.08; 95% confidence interval, 1.04-1.11). Similar findings were observed for anxiety. Veterans with serious mental illness were as likely as veterans without serious mental illness to be hospitalized for ACSC.

CONCLUSION

Veterans with depression and anxiety were more likely to be hospitalized for any or acute ACSC than veterans without mental health conditions. Patients hospitalized for acute ACSC were more susceptible than patients hospitalized for chronic ACSC to have mental health conditions. As the VHA continues to evolve from care provider to community care payer (per the Veterans Affairs MISSION Act), our results highlight the ongoing importance of care coordination and communication between payers and providers.

Patient-Reported Access in the Patient-Centered Medical Home and Avoidable Hospitalizations: an Observational Analysis of the Veterans Health Administration

BACKGROUND

The Patient-Centered Medical Home (PCMH) has emphasized timely access to primary care, often by using non-traditional modes of delivery, such as care in person after-hours or by phone during or after normal hours. Limited data exists on whether improving patient-reported access with these service types reduces hospitalization.

OBJECTIVE

To examine the association of patient-reported access to primary care within the Veteran Health Administration (VHA) via five service types and hospitalizations for ambulatory care sensitive conditions (ACSCs).

DESIGN

Retrospective cohort study, using multivariable logistic regression adjusting for patient demographics, comorbidity, characteristics of patients' area of residence, and clinic-level random effects.

PARTICIPANTS

A total of 69,710 VHA primary care patients who responded to the 2012 Survey of Healthcare Experiences of Patients (SHEP), PCMH module.

MAIN MEASURES

Survey questions captured patients' ability to obtain care from VHA for five service types: routine care, immediate care, after-hours care, care by phone during regular office hours, and care by phone after normal hours. Outcomes included binary measures of hospitalization for overall, acute, and chronic ACSCs in 2013, identified in VHA administrative data and Medicare fee-for-service claims.

KEY RESULTS

Patients who reported "always" able to obtain after-hours care compared to "never" were less likely to be hospitalized for chronic ACSCs (OR 0.62, 95% CI 0.44-0.89, p = 0.009). Patients reporting "usually" getting care by phone during regular hours were more likely have a hospitalization for chronic ACSC (OR 1.49, 95% CI 1.03-2.17, p = 0.034). Experiences with routine care, immediate care, and care by phone after-hours demonstrated no significant association with hospitalization for ACSCs.

CONCLUSIONS

Improving patients' ability to obtain after-hours care was associated with fewer hospitalizations for chronic ACSCs, while access to care by phone during regular hours was associated with more hospitalizations. Health systems should consider the benefits, including reduced hospitalizations for chronic ACSCs, against the costs of implementing each of these PCMH services.

Perceptions of U.S. Veterans Affairs and community healthcare providers regarding cross-system care for heart failure

OBJECTIVES

This study explores perceptions of US Veterans Affairs (VA) and non-VA healthcare providers caring for Veterans with heart failure (HF) regarding Veteran knowledge and motivations for dual use, provider roles in recommending and coordinating dual use, systems barriers and facilitators, and suggestions for improving cross-system care.

METHODS

Twenty VA and 11 non-VA providers participated in semi-structured interviews, which were analyzed using parallel qualitative content and discourse analysis.

RESULTS

VA and non-VA providers described variable HF knowledge and self-management among Veterans, and both groups described the need for improved education addressing medication adherence, self-care, and management of acute symptoms. Both groups described highly limited roles for providers in shaping choices surrounding dual use. VA and non-VA providers had significantly different perceptions regarding the availability, quality, and effectiveness of VA HF services. Multiple non-VA providers expressed frustration with and difficulty in contacting VA providers, accessing records, and making referrals into the VA system. Suggestions for improved care focused on patient education and care coordination.

DISCUSSION

Dual healthcare system use for Veterans is increasingly common. Similarities and contrasts in perceptions of VA and non-VA providers are instructive and should be incorporated into future policy and program initiatives.

Evidence Review-Social Determinants of Health for Veterans

BACKGROUND

Veterans Health Administration (VHA) is committed to providing high-quality care and addressing health disparities for vulnerable Veterans. To meet these goals, VA policymakers need guidance on how to address social determinants in operations planning and day-to-day clinical care for Veterans.

METHOD

MEDLINE (OVID), CINAHL, PsycINFO, and Sociological Abstracts were searched from inception to January 2017. Additional articles were suggested by peer reviewers and/or found through search of work associated with US and VA cohorts. Eligible articles compared Veterans vs non-Veterans, and/or Veterans engaged with those not engaged in VA healthcare. Our evidence maps summarized study characteristics, social determinant(s) addressed, and whether health behaviors, health services utilization, and/or health outcomes were examined. Qualitative syntheses and quality assessment were performed for articles on rurality, trauma exposure, and sexual orientation.

RESULTS

We screened 7242 citations and found 131 eligible articles-99 compared Veterans vs non-Veterans, and 40 included engaged vs non-engaged Veterans. Most articles were cross-sectional and addressed socioeconomic factors (e.g., education and income). Fewer articles addressed rurality (N = 20), trauma exposure (N = 17), or sexual orientation (N = 2); none examined gender identity. We found no differences in rural residence between Veterans and non-Veterans, nor between engaged and non-engaged Veterans (moderate strength evidence). There was insufficient evidence for role of rurality in health behaviors, health services utilization, or health outcomes. Trauma exposures, including from events preceding military service, were more prevalent for Veterans vs non-Veterans and for engaged vs non-engaged Veterans (low-strength evidence); exposures were associated with smoking (low-strength evidence).

DISCUSSION

Little published literature exists on some emerging social determinants. We found no differences in rural residence between our groups of interest, but trauma exposure was higher in Veterans (vs non-Veterans) and engaged (vs non-engaged). We recommend consistent measures for social determinants, clear conceptual frameworks, and analytic strategies that account for the complex relationships between social determinants and health.

The Impact of Medication-Based Risk Adjustment on the Association Between Veteran Health Outcomes and Dual Health System Use

BACKGROUND

Veterans commonly receive care from both Veterans Health Administration (VA) and non-VA sources (i.e., dual use). A major challenge in comparing health outcomes between dual users and VA-predominant users is applying an accurate method of risk adjustment.

OBJECTIVE

To determine how different comorbidity indices affect the association between patterns of dual use and health outcomes.

DESIGN

Retrospective cohort.

PARTICIPANTS

A total of 316,775 community-dwelling Veterans (≥65 years) with type 2 diabetes who were enrolled in VA and fee-for-service Medicare from 2008 to 2010.

METHODS

We determined the associations between dual use and death or diabetes-related hospitalization in FY 2010 using multivariable models incorporating claims-based (Elixhauser) or medication-based (RxRisk-V) risk adjustment. Dual use was classified using four previously identified groups of health services users: 1) VA-predominant, 2) VA + Medicare visits and labs, 3) VA + Medicare test strips, and 4) VA + Medicare medications.

KEY RESULTS

Controlling for Elixhauser comorbidities, dual-use groups 2-4 had significantly decreased odds of death or hospitalization compared to VA-predominant users. Controlling for RxRisk-V comorbidities, groups 2-4 had increased odds of death compared to VA-predominant users, but variable odds of hospitalization, with group 2 having increased odds (OR 1.06, CI 1.04-1.09), while groups 3 (OR 0.96, CI 0.94-0.99) and 4 (OR 0.93, CI 0.89-0.97) had decreased odds.

CONCLUSIONS

The method of risk adjustment drastically influences the direction of effect in health outcomes among dual users of VA and Medicare. These findings underscore the need for standardized and reliable risk adjustment methods that are not susceptible to measurement differences across different health systems.

ACSC Indicator: testing reliability for hypertension

BACKGROUND

With high-quality community-based primary care, hospitalizations for ambulatory care sensitive conditions (ACSC) are considered avoidable. The purpose of this study was to test the inter-physician reliability of judgments of avoidable hospitalizations for one ACSC, uncomplicated hypertension, derived from medical chart review.

METHODS

We applied the Canadian Institute for Health Information's case definition to obtain a random sample of patients who had an ACSC hospitalization for uncomplicated hypertension in Calgary, Alberta. Medical chart review was conducted by three experienced internal medicine specialists. Implicit methods were used to judge avoidability of hospitalization using a validated 5-point scale.

RESULTS

There was poor agreement among three physicians raters when judging the avoidability of 82 ACSC hospitalizations for uncomplicated hypertension (κ = 0.092). The κ also remained low when assessing agreement between raters 1 and 3 (κ = 0.092), but the κ was lower (less than chance agreement) for raters 1 and 2 (κ = -0.119) and raters 2 and 3 (κ = -0.008). When the 5-point scale was dichotomized, there was fair agreement among three raters (κ = 0.217). The proportion of ACSC hospitalizations for uncomplicated hypertension that were rated as avoidable was 32.9%, 6.1% and 26.8% for raters 1, 2, and 3, respectively.

CONCLUSIONS

This study found a low proportion of ACSC hospitalization were rated as avoidable, with poor to fair agreement of judgment between physician raters. This suggests that the validity and utility of this health indicator is questionable. It points to a need to abandon the use of ACSC entirely; or alternatively to work on the development of explicit criteria for judging avoidability of hospitalization for ACSC such as hypertension.

Racial and Ethnic Differences in Satisfaction with Care Coordination Among VA and non-VA Medicare Beneficiaries

Purpose: Patients who have multiple sources of care are at risk for fragmented and uncoordinated care, which can lead to poorer outcomes. Veteran Medicare beneficiaries who use the Veterans Health Administration (VHA) system (VA users), particularly racial/ethnic minorities, often have complex medical conditions that may require care from multiple sources, leaving them especially vulnerable to the effects of fragmented care. We examined racial/ethnic differences in the level of satisfaction with care coordination among Medicare beneficiaries, comparing those who do and do not use the VHA healthcare system. Methods: We conducted a retrospective, pooled, cross-sectional study of Medicare beneficiaries using the 2009-2011 Medicare Current Beneficiary Survey. The outcomes are self-reported satisfaction with care items related to three dimensions of care coordination: (1) integrated care, (2) care continuity, and (3) follow-up care. We present descriptive statistics and use generalized linear models to examine racial/ethnic differences across VA and non-VA users, after accounting for other demographic characteristics, health status, functional limitations, insurance coverage, and geographic variation. Results: VA users are more likely to be very satisfied with receiving both integrated and follow-up care compared with non-VA users. Despite the existence of significant racial/ethnic disparities in the likelihood of being very satisfied with receiving well-coordinated care in the larger Medicare population, racial/ethnic minority VA users are just as likely as White non-Hispanics to be very satisfied with receiving well-coordinated care. Conclusions: Future research should continue to study care coordination among VA users and reasons for preferring the VA over other healthcare systems, especially among racial/ethnic minority groups.

Dual Health Care System Use and High-Risk Prescribing in Patients With Dementia: A National Cohort Study

BACKGROUND

Recent federal policy changes attempt to expand veterans' access to providers outside the Department of Veterans Affairs (VA). Receipt of prescription medications across unconnected systems of care may increase the risk for unsafe prescribing, particularly in persons with dementia.

OBJECTIVE

To investigate the association between dual health care system use and potentially unsafe medication (PUM) prescribing.

DESIGN

Retrospective cohort study.

SETTING

National VA outpatient care facilities in 2010.

PARTICIPANTS

75 829 veterans with dementia who were continuously enrolled in Medicare from 2007 to 2010; 80% were VA-only users, and 20% were VA-Medicare Part D (dual) users.

MEASUREMENTS

Augmented inverse propensity weighting was used to estimate the effect of dual-system versus VA-only prescribing on 4 indicators of PUM prescribing in 2010: any exposure to Healthcare Effectiveness Data and Information Set (HEDIS) high-risk medication in older adults (PUM-HEDIS), any daily exposure to prescriptions with a cumulative Anticholinergic Cognitive Burden (ACB) score of 3 or higher (PUM-ACB), any antipsychotic prescription (PUM-antipsychotic), and any PUM exposure (any-PUM). The annual number of days of each PUM exposure was also examined.

RESULTS

Compared with VA-only users, dual users had more than double the odds of exposure to any-PUM (odds ratio [OR], 2.2 [95% CI, 2.2 to 2.3]), PUM-HEDIS (OR, 2.4 [CI, 2.2 to 2.8]), and PUM-ACB (OR, 2.1 [CI, 2.0 to 2.2]). The odds of PUM-antipsychotic exposure were also greater in dual users (OR, 1.5 [CI, 1.4 to 1.6]). Dual users had an adjusted average of 44.1 additional days of any-PUM exposure (CI, 37.2 to 45.0 days).

LIMITATION

Observational study design of veteran outpatients only.

CONCLUSION

Among veterans with dementia, rates of PUM prescribing are significantly higher among dual-system users than with VA-only users.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs.

Ambulatory Care-Sensitive Condition Hospitalizations Among Medicare Beneficiaries

INTRODUCTION

This study examined the association between the distribution of primary care physicians and Medicare beneficiaries' ambulatory care sensitive condition hospitalizations using both statistical and spatial analyses.

METHODS

Data from the 2014 County Health Rankings, 2013-2014 Area Resource File, and the 2014 Food Environment Atlas Data File were integrated to perform county-level ordinary least squares and geographically weighted regression. Analyses were conducted in late 2015.

RESULTS

Primary care physician density was found to be negatively associated with Medicare beneficiaries' ambulatory care sensitive condition hospitalization rate in both ordinary least squares (β=-5.88, p=0.0037) and geographically weighted regression models (37.08% of all counties), with the latter model finding significant relationships in the South and Northeast.

CONCLUSIONS

Preventable hospitalizations are high in areas of the U.S. that have low primary care physician density and other healthcare resources, large non-white populations, high levels of area deprivation, and rural designations. Using geospatial techniques helped document areas of greatest concern for potential intervention. Future research needs to account for these regional differences and target surveillance accordingly.

Pharmacy use by dual-eligible non-elderly veterans with private healthcare insurance

Background

Utilization of private sector healthcare services among dual enrolled veterans with private healthcare insurance plans (PHIP) has not been well-characterized. Concurrent use of Veterans Health Administration (VHA) and non-VHA pharmacies may increase risk for adverse outcomes. Thus, the objectives of this study were to determine the extent to which dual VHA-PHIP enrollees obtain medications through VHA and non-VHA pharmacies and to characterize medications obtained through non-VHA pharmacies.

Methods

This observational study used merged administrative data from VHA and a predominant regional PHIP to select veterans < 65 years of age, residing in two Midwestern US states, and simultaneously enrolled in both VHA and the PHIP during fiscal years (FY) 2001–2010. Primary outcome measures included counts of prescriptions dispensed from VHA and non-VHA pharmacies, and frequencies of medications dispensed by non-VHA pharmacies based on PHIP claims.

Results

Of 5783 veterans who filled ≥ 1 prescription in FY10, 2935 (50.8 %) used non-VHA pharmacies exclusively, 1165 (20.2 %) used VHA pharmacies exclusively and 1683 (29.1 %) were dual users. Health services utilization was higher for dual users compared to exclusive users of either VHA or non-VHA pharmacies across multiple measures, including total prescriptions, outpatient encounters, and inpatient admissions. The most common medications dispensed by non-VHA pharmacies, by proportion of veterans treated, were hydrocodone (20.9 %), amoxicillin (18.5 %), simvastatin (17.5 %), azithromycin (17.4 %), and lisinopril (15.1 %). Antidepressants comprised 3 of 10 most common medications dispensed by VHA, but none of the most common medications dispensed to exclusive non-VHA pharmacy users.

Conclusions

Our findings align with VHA-Medicare dual enrolled veterans where only a minority of veterans used VHA services exclusively. Younger veterans relied disproportionately on VHA for mental health medications.

Insured Veterans' Use of VA and Non-VA Health Care in a Rural State

PURPOSE

To understand how working-age VA-enrolled veterans with commercial insurance use both VA and non-VA outpatient care, and how rural residence affects dual use, for common diagnoses and procedures.

METHODS

We analyzed VA and non-VA outpatient treatment records for any months during 2005-2010 that New Hampshire veterans ages <65 were simultaneously enrolled in VA health care and commercial insurance (per NH's mandatory claims database). Controlling for covariates, we used analysis of variance to compare urban and rural VA users, non-VA users, and dual users on travel burden, diagnosis counts, duration in outpatient care, and visit frequencies, and logistic regressions to assess whether rural veterans were as likely to be seen for common conditions and procedures.

FINDINGS

More than half of patients were non-VA users and another third were dual users; rural residents were slightly more likely than urban residents to be dual users. For nearly any common diagnosis or procedure, dual users were more likely to have it at some time during treatment than other patients in either VA or non-VA care, but they seldom had it listed in both care systems. Dual users also were seen most often overall, although within either care system they were seen less often than other patients, particularly if they were rural residents living far from care. Rural residence reduced chances of treatment for a wide variety of conditions, though it also was associated with more musculoskeletal and connective tissue diagnoses. It also reduced chances that patients had some diagnostic and treatment procedures but increased the odds of others that may require fewer visits.

CONCLUSIONS

Dual users living in rural areas may have less continuity in their health care. Ensuring that rural dual users are identified in primary care should improve access and care coordination.

VA and Medicare Utilization Among Dually Enrolled Veterans with Type 2 Diabetes: A Latent Class Analysis

BACKGROUND

Many Veterans treated within the VA Healthcare System (VA) are also enrolled in fee-for-service (FFS) Medicare and receive treatment outside the VA. Prior research has not accounted for the multiple ways that Veterans receive services across healthcare systems.

OBJECTIVE

We aimed to establish a typology of VA and Medicare utilization among dually enrolled Veterans with type 2 diabetes.

DESIGN

This was a retrospective cohort.

PARTICIPANTS

316,775 community-dwelling Veterans age ≥ 65 years with type 2 diabetes who were dually enrolled in the VA and FFS Medicare in 2008-2009.

METHODS

Using latent class analysis, we identified classes of Veterans based upon their probability of using VA and Medicare diabetes care services, including patient visits, laboratory tests, glucose test strips, and medications. We compared the amount of healthcare use between classes and identified factors associated with class membership using multinomial regression.

KEY RESULTS

We identified four distinct latent classes: class 1 (53.9%) had high probabilities of VA use and low probabilities of Medicare use; classes 2 (17.2%), 3 (21.8%), and 4 (7.0%) had high probabilities of VA and Medicare use, but differed in their Medicare services used. For example, Veterans in class 3 received test strips exclusively through Medicare, while Veterans in class 4 were reliant on Medicare for medications. Living ≥ 40 miles from a VA predicted membership in classes 3 (OR 1.1, CI 1.06-1.15) and 4 (OR 1.11, CI 1.04-1.18), while Medicaid eligibility predicted membership in class 4 (OR 4.30, CI 4.10-4.51).

CONCLUSIONS

Veterans with diabetes can be grouped into four distinct classes of dual health system use, representing a novel way to characterize how patients use multiple services across healthcare systems. This classification has applications for identifying patients facing differential risk from care fragmentation.

Dual health care system use is associated with higher rates of hospitalization and hospital readmission among veterans with heart failure

BACKGROUND

Heart failure (HF) frequently causes hospital admission and readmission. Patients receiving care from multiple providers and facilities (dual users) may risk higher health care utilization and worse health outcomes.

METHODS

To determine rates of emergency department (ED) visits, hospitalizations, and hospital readmissions relative to dual use among HF patients, we analyzed a retrospective cohort of 13,977 veterans with HF hospitalized at the Veterans Affairs (VA) or non-VA facilities from 2007 to 2011; we analyzed rates of acute health care utilization using zero-inflated negative binomial regression.

RESULTS

Compared to VA-only users and dual users, individuals receiving all of their ED and hospital care outside the VA tended to be older, more likely to be non-Hispanic white and married, and less likely to have high levels of service connected disability. Compared to VA-only users, dual users had significantly higher rates of ED visits for HF as a primary diagnosis (adjusted rate ratio 1.15, 95% CI 1.04-1.27), hospitalization for HF (adjusted rate ratio 1.4, 95% CI 1.26-1.56), hospital readmission after HF hospitalization (all cause) (1.46, 95% CI 1.30-1.65), and HF-specific hospital readmission after HF hospitalization (1.46, 95% CI 1.31-1.63). With the exception of hospitalization for any primary diagnosis, non-VA-only users had significantly lower rates of ED visits, hospitalization, and readmission compared to VA-only users.

CONCLUSIONS

Dual use is associated with higher rates of health care utilization among patients with HF. Interventions should be devised to encourage continuity of care where possible and to improve the effectiveness and safety of dual use in instances where it is necessary or desired.

Unhealthy alcohol use in older adults: Association with readmissions and emergency department use in the 30 days after hospital discharge

BACKGROUND

Unhealthy alcohol use could impair recovery of older patients after medical or surgical hospitalizations. However, no prior research has evaluated whether older patients who screen positive for unhealthy alcohol use are at increased risk of readmissions or emergency department (ED) visits within 30 days after discharge. This study examined the association between AUDIT-C alcohol screening results and 30-day readmissions or ED visits.

METHODS

Veterans Affairs (VA) patients age 65 years or older, were eligible if they were hospitalized for a medical or surgical condition (2/1/2009-10/1/2011) and had an AUDIT-C score documented in their VA electronic medical record in the year before they were hospitalized. VA and Medicare data identified VA or non-VA index hospitalizations, readmissions, and ED visits. Primary analyses adjusted for demographics, comorbid conditions, and past-year health care utilization.

RESULTS

Among 579,330 hospitalized patients, 13.7% were readmitted and 12.0% visited an ED within 30 days of discharge. In primary analyses, high-risk drinking (n=7,167) and nondrinking (n=357,086) were associated with increased probability of readmission (13.8%, 95% CI 13.0-14.6%; and 14.2%, 95% CI 14.1-14.3%, respectively), relative to low-risk drinking (12.9%; 95% CI 12.7-13.0%). Only nondrinkers had increased risk for ED visits.

CONCLUSIONS

Alcohol screening results indicating high-risk drinking that were available in medical records were modestly associated with risk for 30-day readmissions and were not associated with risk for ED visits.

Comparing Survival Following Hip Fracture Repair in VHA and Non-VHA Facilities

INTRODUCTION

Although postsurgical outcomes are similar between Veterans Health Administration (VHA) and non-VHA hospitals for many procedures, no studies have compared 30-day and 1-year survival following hip fracture repair. Therefore, this study compared survival of veterans aged 65 years and older treated in VHA hospitals with a propensity-matched cohort of Medicare beneficiaries in non-VHA hospitals.

MATERIALS AND METHODS

Retrospective cohort study of 1894 hip fracture repair patients in VHA or non-VHA hospitals between 2003 and 2005. Current Procedural Terminology codes identified 3542 male patients aged >65 years who had hip fracture repair between 2003 and 2005 in the Veterans Affairs' National Surgical Quality Improvement Program database. The Medicare comparison sample was drawn from 2003 to 2005 Medicare Part A inpatient hospital claims files. To create comparable VHA and Medicare cohorts, patients were propensity score matched on age, admission source (community vs. nursing home), repair type, comorbidity index, race, year, and region. Thirty-day and 1-year survival after surgery were compared between cohorts after further adjustment for selected comorbidities, year of surgery, and pre- and postsurgical length of hospital stay using logistic regression.

RESULTS

Odds of survival were significantly better in the Medicare than the VHA cohort at 30 days (1.68, 95% CI 1.15-2.44) and 1 year (1.35, 95% CI 1.08-1.69).

CONCLUSION

Medicare beneficiaries with hip fracture repair in non-VHA hospitals had better survival than veterans in VHA hospitals. Whether this is driven by unobserved patient characteristics or systematic care differences is unknown.

Treating Dual-Use Patients Across Two Health Care Systems: A Qualitative Study

Improved communication and increased education may enhance the experience and outcomes for veterans using multiple health care systems, according to this qualitative assessment of health care provider views.

AHRQ prevention quality indicators to assess the quality of primary care of local providers: a pilot study from Italy

BACKGROUND

Outside the USA, Agency for Healthcare Research and Quality (AHRQ) prevention quality indicators (PQIs) have been used to compare the quality of primary care services only at a national or regional level. However, in several national health systems, primary care is not directly managed by the regions but is in charge of smaller territorial entities. We evaluated whether PQIs might be used to compare the performance of local providers such as Italian local health authorities (LHAs) and health districts.

METHODS

We analysed the hospital discharge abstracts of 44 LHAs (and 11 health districts) of five Italian regions (including ≈18 million residents) in 2008-10. Age-standardized PQI rates were computed following AHRQ specifications. Potential predictors were investigated using multilevel modelling.

RESULTS

We analysed 11 470 722 hospitalizations. The overall rates of preventable hospitalizations (composite PQI 90) were 1012, 889 and 988 (×100 000 inhabitants) in 2008, 2009 and 2010, respectively. Composite PQIs were able to differentiate LHAs and health districts and showed small variation in the performance ranking over years.

CONCLUSION

Although further research is required, our findings support the use of composite PQIs to evaluate the performance of relatively small primary health care providers (50 000-60 000 enrollees) in countries with universal health care coverage. Achieving high precision may be crucial for a structured quality assessment system to align hospitalization rate indicators with measures of other contexts of care (cost, clinical management, satisfaction/experience) that are typically computed at a local level.

Does Favorable Selection Among Medicare Advantage Enrollees Affect Measurement of Hospital Readmission Rates?

Literature indicates favorable selection among Medicare Advantage (MA) enrollees compared with fee-for-service (FFS) enrollees. This study examined whether favorable selection into MA affected readmission rates among Medicare-eligible veterans following hospitalization for congestive heart failure in the Veterans Affairs Health System (VA). We measured total (VA + Medicare FFS) 30-day all-cause readmission rates across hospitals and all of VA. We used Heckman's correction to adjust readmission rates to be representative of all Medicare-eligible veterans, not just FFS-enrolled veterans. The adjusted all-cause readmission rate among FFS veterans was 27.1% (95% confidence interval [CI] = 26.5% to 27.7%), while the adjusted readmission rate among Medicare-eligible veterans was 25.3% (95% CI = 23.6% to 27.1%) after correcting for favorable selection. Readmission rate estimates among FFS veterans generalize to all Medicare-eligible veterans only after accounting for favorable selection into MA. Estimation of quality metrics should carefully consider sample selection to produce valid policy inferences.

Reduced overall and event-free survival among colon cancer patients using dual system care

BACKGROUND

Many veterans have dual Veterans Administration (VA) and Medicare healthcare coverage. We compared 3-year overall and cancer event-free survival (EFS) among patients with nonmetastatic colon cancer who obtained substantial portions of their care in both systems and those whose care was obtained predominantly in the VA or in the Medicare fee-for-service system.

METHODS

We conducted a retrospective observational cohort study of patients older than 65 years with stages I to III colon cancer diagnosed from 1999 to 2001 in VA and non-VA facilities. Dual use of VA and non-VA colon cancer care was categorized as predominantly VA use, dual use, or predominantly non-VA use. Extended Cox regression models evaluated associations between survival and dual use.

RESULTS

VA and non-VA users (all stages) had reduced hazard of dying compared with dual users [e.g., for stage I, VA HR 0.40, 95% confidence interval (CI): 0.28-0.56; non-VA HR 0.54, 95% CI: 0.38-0.78). For EFS, stage I findings were similar (VA HR 0.47, 95% CI: 0.35-0.62; non-VA HR 0.64, 95% CI: 0.47-0.86). Stage II and III VA users, but not non-VA users, had improved EFS (stage II: VA HR 0.74, 95% CI: 0.56-0.97; non-VA HR 0.92, 95% CI: 0.69-1.22; stage III: VA HR 0.73, 95% CI: 0.56-0.94; non-VA HR 0.81, 95% CI: 0.62-1.06).

CONCLUSIONS

Improved survival among VA and non-VA compared with dual users raises questions about coordination of care and unmet needs.

IMPACT

Additional study is needed to understand why these differences exist, why patients use both systems, and how systems may be improved to yield better outcomes in this population.