Recent trends in Veterans Affairs chronic condition spending

Impact of the coronavirus disease-2019 pandemic on Veterans Health Administration Sleep Services

Objectives

To understand the impact of the coronavirus disease-2019 pandemic on sleep services within the United States Department of Veterans Affairs using separate surveys from "pre-COVID" and pandemic periods.

Methods

Data from a pre-pandemic survey (September to November 2019) were combined with data from a pandemic-period survey (August to November 2020) to Veterans Affairs sleep medicine providers about their local sleep services within 140 Veterans Affairs facilities).

Results

A total of 67 (47.9%) facilities responded to the pandemic online survey. In-lab diagnostic and titration sleep studies were stopped at 91.1% of facilities during the pandemic; 76.5% of facilities resumed diagnostic studies and 60.8% resumed titration studies by the time of the second survey. Half of the facilities suspended home sleep testing; all facilities resumed these services. In-person positive airway pressure clinics were stopped at 76.3% of facilities; 46.7% resumed these clinics. Video telehealth was either available or in development at 86.6% of facilities and was considered a lasting addition to sleep services. Coronavirus disease-2019 transmission precautions occurred at high rates. Sleep personnel experienced high levels of stress, anxiety, fear, and burnout because of the pandemic and in response to unexpected changes in sleep medicine care delivery.

Conclusions

Sleep medicine services within the Veterans Affairs evolved during the pandemic with many key services being interrupted, including in-lab studies and in-person positive airway pressure clinics. Expansion and initiation of telehealth sleep services occurred commonly. The pandemic adversely affected sleep medicine personnel as they sought to maintain access to care.

Novel genetic loci associated with osteoarthritis in multi-ancestry analyses in the Million Veteran Program and UK Biobank

Osteoarthritis is a common progressive joint disease. As no effective medical interventions are available, osteoarthritis often progresses to the end stage, in which only surgical options such as total joint replacement are available. A more thorough understanding of genetic influences of osteoarthritis is essential to develop targeted personalized approaches to treatment, ideally long before the end stage is reached. To date, there have been no large multiancestry genetic studies of osteoarthritis. Here, we leveraged the unique resources of 484,374 participants in the Million Veteran Program and UK Biobank to address this gap. Analyses included participants of European, African, Asian and Hispanic descent. We discovered osteoarthritis-associated genetic variation at 10 loci and replicated findings from previous osteoarthritis studies. We also present evidence that some osteoarthritis-associated regions are robust to population ancestry. Drug repurposing analyses revealed enrichment of targets of several medication classes and provide potential insight into the etiology of beneficial effects of antiepileptics on osteoarthritis pain.

Does Community Outsourcing Improve Timeliness of Care for Veterans With Obstructive Sleep Apnea?

BACKGROUND

Providing timely access to care has been a long-standing priority for the Veterans Affairs Healthcare System. Recent strategies to reduce long wait times have focused on purchasing community care by a fee-for-service model. Whether outsourcing Veterans Affairs (VA) specialty care to the community improves access is unclear.

OBJECTIVES

We compared time from referral to treatment among Veterans whose care was provided by VA versus community care purchased by the VA, using obstructive sleep apnea as an example condition.

METHODS

This was a retrospective cohort study of Northern California Veterans seeking sleep apnea care through the San Francisco VA Healthcare System between 2012 and 2018. We used multivariable linear regression with propensity score matching to investigate the relationship between time to care delivery and care setting (VA provided vs. VA-purchased community care). A total of 1347 Northern California Veterans who completed sleep apnea testing within the VA and 88 Veterans who completed sleep apnea testing in the community had complete data for analysis.

RESULTS

Among Northern California Veterans with obstructive sleep apnea, outsourcing of care to the community was associated with longer time from referral to therapy (mean±SD, 129.6±82.8 d with VA care vs. 252.0±158.8 d with community care, P<0.001) and greater loss to follow-up.

CONCLUSIONS

These findings suggest that purchasing community care may lead to care fragmentation and not improve wait times nor improve access to subspecialty care for Veterans.

Leveraging Telehealth to improve access to care: a qualitative evaluation of Veterans' experience with the VA TeleSleep program

Background

Obstructive sleep apnea is common among rural Veterans, however, access to diagnostic sleep testing, sleep specialists, and treatment devices is limited. To improve access to sleep care, the Veterans Health Administration (VA) implemented a national sleep telemedicine program. The TeleSleep program components included: 1) virtual clinical encounters; 2) home sleep apnea testing; and 3) web application for Veterans and providers to remotely monitor symptoms, sleep quality and use of positive airway pressure (PAP) therapy. This study aimed to identify factors impacting Veteran’s participation, satisfaction and experience with the TeleSleep program as part of a quality improvement initiative.

Methods

Semi-structured interview questions elicited patient perspectives and preferences regarding accessing and engaging with TeleSleep care. Rapid qualitative and matrix analysis methods for health services research were used to organize and describe the qualitative data.

Results

Thirty Veterans with obstructive sleep apnea (OSA) recruited from 6 VA telehealth “hubs” participated in interviews. Veterans reported positive experiences with sleep telemedicine, including improvements in sleep quality, other health conditions, and quality of life. Access to care improved as a result of decreased travel burden and ability of both clinicians and Veterans to remotely monitor and track personal sleep data. Overall experiences with telehealth technology were positive. Veterans indicated a strong preference for VA over non-VA community-based sleep care. Patient recommendations for change included improving scheduling, continuity and timeliness of communication, and the equipment refill process.

Conclusions

The VA TeleSleep program improved patient experiences across multiple aspects of care including a reduction in travel burden, increased access to clinicians and remote monitoring, and patient-reported health and quality of life outcomes, though some communication and continuity challenges remain. Implementing telehealth services may also improve the experiences of patients served by other subspecialties or healthcare systems.

Demographic, Health, and Exposure Risks Associated With Cognitive Loss, Alzheimer's Disease and Other Dementias in US Military Veterans

The US military veteran population receiving care through the Veterans Health Administration (VHA) is particularly susceptible to cognitive impairment and dementias such as Alzheimer's disease and related dementias due to demographic, clinical, and economic factors. In this report we summarize the prevalence of dementia among US veterans and risks associated with AD and related dementias. We discuss the likelihood that these risks may be increasing in those about to enter the age in which dementias are common. We propose that VHA, the largest integrated health care system in the US, has shown promise in managing health risks that impact dementia prevention and propose further system wide approaches to be assessed for effective dementia prevention and care delivery.

Association of VA Payment Reform for Dialysis with Spending, Access to Care, and Outcomes for Veterans with ESKD

BACKGROUND AND OBJECTIVES

Because of the limited capacity of its own dialysis facilities, the Department of Veterans Affairs (VA) Veterans Health Administration routinely outsources dialysis care to community providers. Prior to 2011-when the VA implemented a process of standardizing payments and establishing national contracts for community-based dialysis care-payments to community providers were largely unregulated. This study examined the association of changes in the Department of Veterans Affairs payment policy for community dialysis with temporal trends in VA spending and veterans' access to dialysis care and mortality.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

An interrupted time series design and VA, Medicare, and US Renal Data System data were used to identify veterans who received VA-financed dialysis in community-based dialysis facilities before (2006-2008), during (2009-2010), and after the enactment of VA policies to standardize dialysis payments (2011-2016). We used multivariable, differential trend/intercept shift regression models to examine trends in average reimbursement for community-based dialysis, access to quality care (veterans' distance to community dialysis, number of community dialysis providers, and dialysis facility quality indicators), and 1-year mortality over this time period.

RESULTS

Before payment reform, the unadjusted average per-treatment reimbursement for non-VA dialysis care varied widely ($47-$1575). After payment reform, there was a 44% reduction ($44-$250) in the adjusted price per dialysis session (P<0.001) and less variation in payments for dialysis ($73-$663). Over the same time period, there was an increase in the number of community dialysis facilities contracting with VA to deliver care to veterans with ESKD from 19 to 37 facilities (per VA hospital), and there were no changes in either the quality of community dialysis facilities or crude 1-year mortality rate of veterans (12% versus 11%).

CONCLUSIONS

VA policies to standardize payment and establish national dialysis contracts increased the value of VA-financed community dialysis care by reducing reimbursement without compromising access to care or survival.

Practical telehealth to improve control and engagement for patients with clinic-refractory diabetes mellitus (PRACTICE-DM): Protocol and baseline data for a randomized trial

BACKGROUND

Persistent poorly-controlled type 2 diabetes mellitus (PPDM), or maintenance of a hemoglobin A1c (HbA1c) ≥8.5% despite receiving clinic-based diabetes care, contributes disproportionately to the national diabetes burden. Comprehensive telehealth interventions may help ameliorate PPDM, but existing approaches have rarely been designed with clinical implementation in mind, limiting use in routine practice. We describe a study testing a novel telehealth intervention that comprehensively targets clinic-refractory PPDM, and was explicitly developed for practical delivery using existing Veterans Health Administration (VHA) clinical infrastructure.

METHODS

Practical Telehealth to Improve Control and Engagement for Patients with Clinic-Refractory Diabetes Mellitus (PRACTICE-DM) is an ongoing randomized controlled trial comparing two 12-month interventions: 1) standard VHA Home Telehealth (HT) telemonitoring/care coordination; or 2) the PRACTICE-DM intervention, a comprehensive HT-delivered intervention combining telemonitoring, self-management support, diet/activity support, medication management, and depression management. The primary outcome is HbA1c. Secondary outcomes include diabetes distress, self-care, self-efficacy, weight, depressive symptoms, implementation barriers/facilitators, and costs. We hypothesize that the PRACTICE-DM intervention will reduce HbA1c by >0.6% versus standard HT over 12 months.

RESULTS

Enrollment for this ongoing trial concluded in January 2020; 200 patients were randomized (99 to standard HT and 101 to the PRACTICE-DM intervention). The cohort has a mean age of 58 and is 23% female and 72% African American. Mean baseline HbA1c and BMI were 10.2% and 34.8 kg/m2.

CONCLUSIONS

Because it comprehensively targets factors underlying PPDM using existing clinical infrastructure, the PRACTICE-DM intervention may be well suited to lower the complications and costs of PPDM in routine practice.

Development of a web-based toolkit to support improvement of care coordination in primary care

Promising practices for the coordination of chronic care exist, but how to select and share these practices to support quality improvement within a healthcare system is uncertain. This study describes an approach for selecting high-quality tools for an online care coordination toolkit to be used in Veterans Health Administration (VA) primary care practices. We evaluated tools in three steps: (1) an initial screening to identify tools relevant to care coordination in VA primary care, (2) a two-clinician expert review process assessing tool characteristics (e.g. frequency of problem addressed, linkage to patients' experience of care, effect on practice workflow, and sustainability with existing resources) and assigning each tool a summary rating, and (3) semi-structured interviews with VA patients and frontline clinicians and staff. Of 300 potentially relevant tools identified by searching online resources, 65, 38, and 18 remained after steps one, two and three, respectively. The 18 tools cover five topics: managing referrals to specialty care, medication management, patient after-visit summary, patient activation materials, agenda setting, patient pre-visit packet, and provider contact information for patients. The final toolkit provides access to the 18 tools, as well as detailed information about tools' expected benefits, and resources required for tool implementation. Future care coordination efforts can benefit from systematically reviewing available tools to identify those that are high quality and relevant.

Survival among Veterans Obtaining Dialysis in VA and Non-VA Settings

BACKGROUND

Outcomes of veterans with ESRD may differ depending on where they receive dialysis and who finances this care, but little is known about variation in outcomes across different dialysis settings and financial arrangements.

METHODS

We examined survival among 27,241 Veterans Affairs (VA)-enrolled veterans who initiated chronic dialysis in 2008-2011 at (1) VA-based units, (2) community-based clinics through the Veterans Affairs Purchased Care program (VA-PC), (3) community-based clinics under Medicare, or (4) more than one of these settings ("dual" care). Using a Cox proportional hazards model, we compared all-cause mortality across dialysis settings during the 2-year period after dialysis initiation, adjusting for demographic and clinical characteristics.

RESULTS

Overall, 4% of patients received dialysis in VA, 11% under VA-PC, 67% under Medicare, and 18% in dual settings (nearly half receiving dual VA and VA-PC dialysis). Crude 2-year mortality was 25% for veterans receiving dialysis in the VA, 30% under VA-PC, 42% under Medicare, and 23% in dual settings. After adjustment, dialysis patients in VA or in dual settings had significantly lower 2-year mortality than those under Medicare; mortality did not differ in VA-PC and Medicare dialysis settings.

CONCLUSIONS

Mortality rates were highest for veterans receiving dialysis in Medicare or VA-PC settings and lowest for veterans receiving dialysis in the VA or dual settings. These findings inform institutional decisions about provision of dialysis for veterans. Further research identifying processes associated with improved survival for patients receiving VA-based dialysis may be useful in establishing best practices for outsourced veteran care.

Using item response theory with health system data to identify latent groups of patients with multiple health conditions

A critical step toward tailoring effective interventions for heterogeneous and medically complex patients is to identify clinically meaningful subgroups on the basis of their comorbid conditions. We applied Item Response Theory (IRT), a potentially useful tool to identify clinically meaningful subgroups, to characterize phenotypes within a cohort of high-risk patients. This was a retrospective cohort study using 68,400 high-risk Veteran’s Health Administration (VHA) patients. Thirty-one physical and mental health diagnosis indicators based on ICD-9 codes from patients’ inpatient, outpatient VHA and VA-paid community care claims. Results revealed 6 distinct subgroups of high-risk patients were identified: substance use, complex mental health, complex diabetes, liver disease, cancer with cardiovascular disease, and cancer with mental health. Multinomial analyses showed that subgroups significantly differed on demographic and utilization variables which underscored the uniqueness of the groups. Using IRT models with clinical diagnoses from electronic health records permitted identification of diagnostic constellations among otherwise undifferentiated high-risk patients. Recognizing distinct patient profiles provides a framework from which insights into medical complexity of high-risk patients can be explored and effective interventions can be tailored.

Attributable Cost of Dementia: Demonstrating Pitfalls of Ignoring Multiple Health Care System Utilization

OBJECTIVES

To determine dementia prevalence and costs attributable to dementia using Veterans Health Administration (VHA) data with and without Medicare data.

DATA SOURCES

VHA inpatient, outpatient, purchased care and other data and Medicare enrollment, claims, and assessments in fiscal year (FY) 2013.

STUDY DESIGN

Analyses were conducted with VHA data alone and with combined VHA and Medicare data. Dementia was identified from a VHA sanctioned list of ICD-9 diagnoses. Attributable cost of dementia was estimated using recycled predictions.

DATA COLLECTION

Veterans age 65 and older who used VHA and were enrolled in Traditional Medicare in FY 2013 (1.9 million).

PRINCIPAL FINDINGS

VHA records indicated the prevalence of dementia in FY 2013 was 4.8 percent while combined VHA and Medicare data indicated the prevalence was 7.4 percent. Attributable cost of dementia to VHA was, on average, $10,950 per veteran per year (pvpy) using VHA alone and $6,662 pvpy using combined VHA and Medicare data. Combined VHA and Medicare attributable cost of dementia was $11,285 pvpy. Utilization attributed to dementia using VHA data alone was lower for long-term institutionalization and higher for supportive care services than indicated in combined VHA and Medicare data.

CONCLUSIONS

Better planning for clinical and cost-efficient care requires VHA and Medicare to share data for veterans with dementia and likely more generally.

Hospice Care of Veterans in Medicare Advantage and Traditional Medicare: A Risk-Adjusted Analysis

OBJECTIVES

To compare the quality of end-of-life care in Medicare Advantage (MA) and traditional Medicare (TM), specifically, receipt and length of hospice care.

DESIGN

Retrospective analysis of administrative data.

SETTING

Hospice care.

PARTICIPANTS

Veterans dually enrolled in the Veterans Health Administration (VHA) and MA or TM who died between 2008 and 2013 (N = 1,515,441).

MEASUREMENTS

Outcomes studied included use and duration of hospice care. Use of a VHA-enrolled population allowed for risk adjustment that is otherwise challenging when studying MA.

RESULTS

Adjusted analyses revealed that MA beneficiaries were more likely to receive hospice than TM beneficiaries; results corroborate published non-risk-adjusted analyses. MA beneficiaries had shorter hospice duration; this is an opposite direction of effect than non-risk-adjusted analyses. Results were robust to multiple sensitivity analyses limiting the cohort to individuals in MA and TM who had equal opportunity for their comorbidities to be captured. Removing risk adjustment resulted in results that mirrored those in the existing published literature.

CONCLUSION

Our work provides two important insights regarding MA that are important to consider as enrollment in this insurance mechanism grows. First, MA beneficiaries received poorer-quality end-of-life care than TM beneficiaries, as ascertained by exposure to hospice. Second, any comparisons made between MA and TM require proper risk adjustment to obtain correct directions of effect. We encourage the Centers for Medicare & Medicaid Services to make comorbidity data specific to MA enrollees available to researchers for these purposes.

Comparative Assessment of Utilization and Hospital Outcomes of Veterans Receiving VA and Non-VA Outpatient Dialysis

OBJECTIVE

Growing demand for VA dialysis exceeds its supply and travel distances prohibit many Veterans from receiving dialysis in a VA facility, leading to increased use of dialysis from non-VA providers. This study compared utilization and hospitalization outcomes among Veterans receiving chronic dialysis in VA and non-VA settings in 2008-2013.

DATA SOURCES

VA, Medicare, and national disease registry data.

STUDY DESIGN

National cohort of 27,301 Veterans initiating dialysis, observed for a period of 2 years after treatment initiation. We used multinomial logistic regression to examine associations between patient characteristics and dialysis use in VA, non-VA community settings via VA Purchased Care (VA-PC), community settings via Medicare, or Dual settings. Zero-inflated negative binomial regression was used to compare risk of hospitalization and days spent in the hospital across dialysis settings.

PRINCIPAL FINDINGS

Sixty-seven percent of Veterans obtained community-based dialysis exclusively via Medicare, 11 percent in the community via VA-PC, 4 percent in VA, and 18 percent in Dual settings. Financial and geographic access factors were important predictors of dialysis setting, but days spent in the hospital and risk of hospitalization did not differ meaningfully across settings.

CONCLUSIONS

Most Veterans obtained dialysis in the community. Dialysis setting appeared to have little impact on risk of hospitalization among Veterans.

An operations-partnered evaluation of care redesign for high-risk patients in the Veterans Health Administration (VHA): Study protocol for the PACT Intensive Management (PIM) randomized quality improvement evaluation

BACKGROUND

Patient-centered medical homes have made great strides providing comprehensive care for patients with chronic conditions, but may not provide sufficient support for patients at highest risk for acute care use. To address this, the Veterans Health Administration (VHA) initiated a five-site demonstration project to evaluate the effectiveness of augmenting the VA's Patient Aligned Care Team (PACT) medical home with PACT Intensive Management (PIM) teams for Veterans at highest risk for hospitalization.

METHODS/DESIGN

Researchers partnered with VHA leadership to design a mixed-methods prospective multi-site evaluation that met leadership's desire for a rigorous evaluation conducted as quality improvement rather than research. We conducted a randomized QI evaluation and assigned high-risk patients to participate in PIM and compared them with high-risk Veterans receiving usual care through PACT. The summative evaluation examines whether PIM: 1) decreases VHA emergency department and hospital use; 2) increases satisfaction with VHA care; 3) decreases provider burnout; and 4) generates positive returns on investment. The formative evaluation aims to support improved care for high-risk patients at demonstration sites and to inform future initiatives for high-risk patients. The evaluation was reviewed by representatives from the VHA Office of Research and Development and the Office of Research Oversight and met criteria for quality improvement.

DISCUSSION

VHA aims to function as a learning organization by rapidly implementing and rigorously testing QI innovations prior to final program or policy development. We observed challenges and opportunities in designing an evaluation consistent with QI standards and operations priorities, while also maintaining scientific rigor.

TRIAL REGISTRATION

This trial was retrospectively registered at ClinicalTrials.gov on April 3, 2017: NCT03100526. Protocol v1, FY14-17.

Insomnia in United States military veterans: An integrated theoretical model

Marked by difficulty falling or staying asleep and/or poor sleep leading to daytime dysfunction, insomnia contributes to functional impairment, poor health, and increased healthcare utilization when left untreated. As many as two-thirds of Iraq and Afghanistan military veterans complain of insomnia. Older veterans of prior conflicts report insomnia occurring since initial service, suggesting a chronic nature to insomnia in this population. Despite insomnia's high prevalence and severe consequences, there is no theoretical model to explain either the onset or chronicity of insomnia in this growing patient population. Existing theories view insomnia as an acute, unidirectional phenomenon and do little to elucidate long-term consequences of such problems. Existing theories also fail to address mechanisms by which acute insomnia becomes chronic. This paper presents an original, integrated theoretical model that draws upon constructs from several prominent behavioral medicine theories to reconceptualize insomnia as a chronic, cyclical problem that is both a consequence and predictor of stress. Additional research examining the relationships between stress, sleep, resilience, and outcomes of interest could inform clinical and research practices. Addressing sleep problems early could potentially enhance adaptive capacity, thereby reducing the risk for subsequent negative outcomes.

Factors associated with emergency department useamong veteran psychiatric patients

Frequent utilization of emergency department (ED) services contributes substantially to the cost of healthcare nationally and is often driven by psychiatric factors. Using national-level data from the Veterans Health Administration (VHA), the present study examined patient-level factors associated with ED use among veteran psychiatric patients. Veterans who had at least one ED visit with a psychiatric diagnosis in fiscal years 2011-2012 (n = 226,122) were identified in VHA administrative records. Andersen's behavioral model of healthcare utilization was used to identify need, enabling, and predisposing factors associated with frequency of ED use (primary outcome) in multivariate regression models. Greater ED use was primarily linked with need (psychotic, anxiety, personality, substance use, and bipolar disorders) and enabling (detoxification-related service utilization and homelessness) factors. Chronic medical conditions, receipt of an opioid prescription, and predisposing factors (e.g., younger age) were also linked to greater ED use; however, the effect sizes for these factors were markedly lower than those of most psychiatric and psychosocial factors. The findings suggest that intensive case management programs aimed reducing frequent ED use among psychiatric patients may require greater emphasis on homelessness and other psychosocial deficits that are common among these patients, and future research should explore cost-effective approaches to implementing these programs.

Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014-2016

Background

Management of patients with chronic conditions relies on accurate measurement. It is unknown how transition to the ICD-10 coding system affected reporting of chronic condition rates over time. We measured chronic condition rates 2 years before and 1 year after the transition to ICD-10 to examine changes in prevalence rates and potential measurement issues in the Veterans Affairs (VA) health care system.

Methods

We developed definitions for 34 chronic conditions using ICD-9 and ICD-10 codes and compared the prevalence rates of these conditions from FY2014 to 2016 in a 20% random sample (1.0 million) of all VA patients. In each year we estimated the total number of patients diagnosed with the conditions. We regressed each condition on an indicator of ICD-10 (versus ICD-9) measurement to obtain the odds ratio associated with ICD-10.

Results

Condition prevalence estimates were similar for most conditions before and after ICD-10 transition. We found significant changes in a few exceptions. Alzheimer’s disease and spinal cord injury had more than twice the odds of being measured with ICD-10 compared to ICD-9. HIV/AIDS had one-third the odds, and arthritis had half the odds of being measured with ICD-10. Alcohol dependence and tobacco/nicotine dependence had half the odds of being measured in ICD-10.

Conclusion

Many chronic condition rates were consistent from FY14–16, and there did not appear to be widespread undercoding of conditions after ICD-10 transition. It is unknown whether increased sensitivity or undercoding led to decreases in mental health conditions.

Elements of the Veterans Health Administration Patient-Centered Medical Home are Associated with Greater Adherence to Oral Hypoglycemic Agents in Patients with Diabetes

In 2010, Veterans Health Administration (VHA) primary care clinics adopted a patient-centered medical home (PCMH) model. This study sought to examine the association between the organizational features related to adoption of PCMH and the level of adherence to oral hypoglycemic agents (OHAs) among patients with diabetes. This retrospective cohort study involved 757 VA clinics that provide primary care to 440,971 patients with diabetes who were taking OHAs in fiscal year 2012. One-year refill-based medication possession ratios (MPRs) were calculated at the patient level. Clinic-level adherence was defined as the proportion of clinics with MPR ≥80%. Risk adjustment of adherence was performed using logistic regression to account for differences in patient populations at clinics. Eight domains of the PCMH model (ie, access, continuity, coordination, teamwork, comprehensive care, self-management, communication, shared decision making) were assessed using items from a previously validated index. Multivariate linear regression was applied to identify PCMH components associated with clinic-level adherence. Patients with diabetes per clinic ranged from 100 to 5011. The average level of adherence to OHAs among clinics ranged from 52.8% to 61.9% (interquartile range = 57.9% to 59.4%). In multivariate analysis, organizational features associated with higher clinic-level adherence included access to routine care (standardized beta [Sβ] = .21, P = .004), having a respectful office staff (Sβ = 0.21, P = .002), and utilization of telephone encounters (Sβ = 0.23, P < .001). Among a national cohort of veterans with diabetes, overall PCMH implementation did not significantly increase adherence to oral hypoglycemic agents, although aspects of implementation were associated with increased adherence. Measures of access to care appear the most significant.

Changes in Veteran Tobacco Use Identified in Electronic Medical Records

INTRODUCTION

Electronic medical records represent a new source of longitudinal data on tobacco use.

METHODS

Electronic medical records of the U.S. Department of Veterans Affairs were extracted to find patients' tobacco use status in 2009 and at another assessment 12-24 months later. Records from the year prior to the first assessment were used to determine patient demographics and comorbidities. These data were analyzed in 2015.

RESULTS

An annual quit rate of 12.0% was observed in 754,504 current tobacco users. Adjusted tobacco use prevalence at follow-up was 3.2% greater with alcohol use disorders at baseline, 1.9% greater with drug use disorders, 3.3% greater with schizophrenia, and lower in patients with cancer, heart disease, and other medical conditions (all differences statistically significant with p<0.05). Annual relapse rates in 412,979 former tobacco users were 29.6% in those who had quit for <1 year, 9.7% in those who had quit for 1-7 years, and 1.9% of those who had quit for >7 years. Among those who had quit for <1 year, adjusted relapse rates were 4.3% greater with alcohol use disorders and 7.2% greater with drug use disorders (statistically significant with p<0.05).

CONCLUSIONS

High annual cessation rates may reflect the older age and greater comorbidities of the cohort or the intensive cessation efforts of the U.S. Department of Veterans Affairs. The lower cessation and higher relapse rates in psychiatric and substance use disorders suggest that these groups will need intensive and sustained cessation efforts.

Post-traumatic Stress Disorder and Antepartum Complications: a Novel Risk Factor for Gestational Diabetes and Preeclampsia

BACKGROUND

Prior work shows that Post-traumatic Stress Disorder (PTSD) predicts an increased risk of preterm birth, but the causal pathway(s) are uncertain. We evaluate the associations between PTSD and antepartum complications to explore how PTSD's pathophysiology impacts pregnancy.

METHODS

This retrospective cohort analysis of all Veterans Health Administration (VA)-covered deliveries from 2000-12 used the data of VA clinical and administration. Mothers with current PTSD were identified using the ICD-9 diagnostic codes (i.e. code present during the antepartum year), as were those with historical PTSD. Medical and administrative data were used to identify the relevant obstetric diagnoses, demographics and health, and military deployment history. We used Poisson regression with robust error variance to derive the adjusted relative risk estimates (RR) for the association of PTSD with five clinically relevant antepartum complications [gestational diabetes (GDM), preeclampsia, gestational hypertension, growth restriction, and abruption]. Secondary outcomes included proxies for obstetric complexity (repeat hospitalisation, prolonged delivery hospitalisation, and caesarean delivery).

RESULTS

Of the 15 986 singleton deliveries, 2977 (19%) were in mothers with PTSD diagnoses (1880 (12%) current PTSD). Mothers with the complication GDM were 4.9% and those with preeclampsia were 4.6% of all births. After adjustment, a current PTSD diagnosis (reference = no PTSD) was associated with an increased risk of GDM (RR 1.4, 95% confidence interval (CI) 1.2, 1.7) and preeclampsia (RR 1.3, 95% CI 1.1, 1.6). PTSD also predicted prolonged (>4 day) delivery hospitalisation (RR 1.2, 95% CI 1.01, 1.4), and repeat hospitalisations (RR 1.4, 95% CI 1.2, 1.6), but not caesarean delivery.

CONCLUSIONS

The observed association of PTSD with GDM and preeclampsia is consistent with our nascent understanding of PTSD as a disruptor of neuroendocrine and cardiovascular health.

Trends in diagnosis of painful neck and back conditions, 2002 to 2011

Neck and back pain are pervasive problems. Some have suggested that rising incidence may be associated with the evidence of rising prevalence.To describe the trends in diagnosis of painful neck and back conditions in a large national healthcare system.A retrospective observational cohort study to describe the incidence and prevalence of diagnosis of neck and back pain in a national cohort.Patients were identified by International Classification of Diseases, 9 Revision (ICD-9) codes in Department of Veterans Affairs (VA) national utilization datasets in calendar years 2002 to 2011.Descriptive statistics were used to analyze the data. Prevalent cases were compared with all veterans who sought health care in each year. Incident cases were identified following a 2 years clean period in which the patient was enrolled and received care, but not services for any back or neck pain conditions.From 2004 to 2011, 3% to 4% of the population was diagnosed with incident back pain problems, the rate increasing on average, 1.75% per year. During the same period, 12.3% to 16.2% of the population was diagnosed with a prevalent back pain problem, the rate increasing on average 4.09% per year.In a national population, the prevalence rate for diagnosis of neck and back pain grew 1.8 to 2.3 times faster than the incidence rate. This suggests that the average duration of episodes of care is increasing. Additional research is needed to understand the influences on the differential rate of change and to develop efficient and effective care systems.

Costs of Keratinocyte Carcinoma (Nonmelanoma Skin Cancer) and Actinic Keratosis Treatment in the Veterans Health Administration

BACKGROUND

The Veterans Health Administration (VHA) provides health care to large numbers of veterans afflicted with keratinocyte carcinoma (KC).

OBJECTIVE

To estimate the number of veterans treated for KCs and the related diagnosis, actinic keratosis (AK) and the costs of treating these conditions over a 1-year period.

MATERIALS AND METHODS

The authors conducted a cross-sectional analysis of veterans diagnosed with KC or AK during fiscal year 2012 using administrative data on outpatient encounters and prescription drugs provided or paid by VHA. Marginal costs of each condition were estimated from a regression model. The authors estimated counts of outpatient encounters, procedures, and costs related to KC and AK care.

RESULTS

In 2012, there were 49,229 veterans with basal cell carcinoma, 26,310 veterans with squamous cell carcinoma, and 8,050 veterans with unspecified invasive KC. There were also 197,041 veterans with AK and 6,388 veterans with KC-related diagnoses. The VHA spent $356 million on KC and AK outpatient treatment for procedures, prescription drugs, and other dermatologic care during FY2012.

CONCLUSION

There was high prevalence of KC and AK and considerable spending to treat these conditions in VHA. Treatment costs are not generalizable to care provided by non-VHA providers where a facility fee was not incurred.

Evaluation of the Veterans Health Administration's Specialty Care Transformational Initiatives to Promote Patient-Centered Delivery of Specialty Care: A Mixed-Methods Approach

INTRODUCTION

Veteran's Affairs Office of Specialty Care (OSC) launched four national initiatives (Electronic-Consults [e-Consults], Specialty Care Access Networks-Extension for Community Healthcare Outcomes [SCAN-ECHO], Mini-Residencies, and Specialty Care Neighborhood) to improve specialty care delivery and funded a center to evaluate the initiatives.

METHODS

The evaluation, guided by two implementation frameworks, provides formative (administrator/provider interviews and surveys) and summative data (quantitative data on patterns of use) about the initiatives to OSC.

RESULTS

Evaluation of initiative implementation is assessed through CFIR (Consolidated Framework for Implementation Research)-grounded qualitative interviews to identify barriers/facilitators. Depending on high or low implementation, factors such as receiving workload credit, protected time, existing workflow/systems compatibility, leadership engagement, and access to information/resources were considered implementation barriers or facilitators. Findings were shared with OSC and used to further refine implementation at additional sites. Evaluation of other initiatives is ongoing.

CONCLUSIONS

The mixed-methods approach has provided timely information to OSC about initiative effect and impacted OSC policies on implementation at additional sites.

U.S. military service and the prevalence of metabolic syndrome: Findings from a cross-sectional analysis of the Cooper Center Longitudinal Study, 1979-2013

U.S. military service confers both health benefits and risks potentially associated with a clustering of cardiovascular risk factors called metabolic syndrome. However, the association between prior military service and metabolic syndrome has not sufficiently been examined. The purpose of the study was to compare the prevalence of metabolic syndrome by prior military service status. Among 42,370 men (887 with prior military service) examined from 1979 to 2013 at the Cooper Clinic (Dallas, TX), we used a cross-sectional study design to examine the association between military service and metabolic syndrome. First, an unadjusted log binomial regression model was performed by regressing the prevalence of metabolic syndrome on prior service. This was followed by performing Kleinbaum's modeling strategy for assessing confounding. The same methodology was used to explore the association between individual metabolic syndrome risk factors and prior service. Prior military service was not significantly associated with the prevalence of metabolic syndrome (PR=0.98, 0.89-1.07). None of the variables explored were identified as confounders. Participants with prior military service had lower prevalence of both elevated levels of triglycerides (PR=0.89, 0.80-0.99) and low levels of high-density lipoprotein-cholesterol (PR=0.78, 0.70-0.88). They had a higher prevalence of elevated resting systolic blood pressure (PR=1.23, 1.12-1.35). However, none of these associations were significant after adjusting for identified confounders: age; cardiorespiratory fitness; and exam year. Study findings indicate that military service was not independently associated with the prevalence of metabolic syndrome or its components. Future research is warranted longitudinally assessing the impact of military service on long-term outcomes.

Characteristics of patients with diabetes who accept referrals for care management services

Introduction:

Patients with chronic conditions can improve their health through participation in self-care programs. However, awareness of and enrollment in these programs are generally low.

Objective:

We sought to identify factors influencing patients’ receptiveness to a referral for programs and services supporting chronic disease management.

Methods:

We analyzed data from 541 high-risk diabetic patients who completed an assessment between 2010 and 2013 from a computer-based, nurse-led Navigator referral program within a large primary care clinic. We compared patients who accepted a referral to those who declined.

Results:

A total of 318 patients (75%) accepted 583 referrals, of which 52% were for self-care programs. Patients who accepted a referral had more primary care visits in the previous year, were more likely to be enrolled in another program, expressed more interest in using the phone and family or friends for support, and were more likely to report recent pain than those who declined a referral.

Discussion:

Understanding what factors influence patients’ decisions to consider and participate in self-care programs has important implications for program design and development of strategies to connect patients to programs. This work informs outreach efforts to identify and engage patients who are likely to benefit from self-care activities.

Racial Differences in Chronic Conditions and Sociodemographic Characteristics Among High-Utilizing Veterans

PURPOSE

African-Americans are disproportionally represented among high-risk, high-utilizing patients. To inform program development for this vulnerable population, the current study describes racial variation in chronic conditions and sociodemographic characteristics among high-utilizing patients in the Veterans Affairs Healthcare System (VA).

METHODS

We identified the 5 % most costly Veterans who used inpatient or outpatient care at the VA during fiscal year 2010 (N = 237,691) based on costs of inpatient and outpatient care, pharmacy services, and VA-sponsored contract care. Patient costs and characteristics were abstracted from VA outpatient and inpatient data files. Racial differences in sociodemographic characteristics (age, sex, marital support, homelessness, and health insurance status) were assessed with chi-square tests. Racial differences in 32 chronic condition diagnoses were calculated as relative risk ratios.

RESULTS

African-Americans represented 21 % of high-utilizing Veterans. African-Americans had higher rates of homelessness (26 vs. 10 %, p < 0.001) and lower rates of supplemental health insurance (44 vs. 58 %, p < 0.001). The mean number of chronic conditions was similar across race. However, there were racial differences in the prevalence of specific chronic conditions, including a higher prevalence of HIV/AIDS (95 % confidence interval (CI) 4.86, 5.50) and schizophrenia (95 % CI 1.94, 2.07) and a lower prevalence of ischemic heart disease (95 % CI 0.57, 0.59) and bipolar disorder (95 % CI 0.78, 0.85) among African-American high-utilizing Veterans.

CONCLUSION

Racial disparities among high-utilizing Veterans may differ from those found in the general population. Interventions should devote attention to social, environmental, and mental health issues in order to reduce racial disparities in this vulnerable population.

The state of Veterans Affairs sleep medicine programs: 2012 inventory results

PURPOSE

The Veterans Health Administration (VHA) represents one of the largest integrated health-care systems in the country. In 2012, the Veterans Affairs Sleep Network (VASN) sought to identify available sleep resources at VA medical centers (VAMCs) across the country through a national sleep inventory.

METHODS

The sleep inventory was administered at the annual 2012 VA Sleep Practitioners meeting and by email to sleep contacts at each VAMC. National prosthetics contacts were used to identify personnel at VAMCs without established sleep programs. Follow-up emails and telephone calls were made through March 2013.

RESULTS

One hundred eleven VA medical centers were included for analysis. Thirty-nine programs did not respond, and 10 were considered "satellites," referring all sleep services to a larger neighboring VAMC. Sleep programs were stratified based on extent of services offered (i.e., in-lab and home testing, sleep specialty clinics, cognitive behavioral therapy for insomnia (CBT-i)): 28 % were complex sleep programs (CSPs), 46 % were intermediate (ISPs), 9 % were standard (SSPs), and 17 % offered no formal sleep services. Overall, 138,175 clinic visits and 90,904 sleep testing encounters were provided in fiscal year 2011 by 112.1 physicians and clinical psychologists, 100.4 sleep technologists, and 115.3 respiratory therapists. More than half of all programs had home testing and CBT-i programs, and 26 % utilized sleep telehealth.

CONCLUSIONS

The 2012 VA sleep inventory suggests considerable variability in sleep services within the VA. Demand for sleep services is high, with programs using home testing, sleep telehealth, and a growing number of mid-level providers to improve access to care.

Multimorbidity and healthcare utilisation among high-cost patients in the US Veterans Affairs Health Care System

OBJECTIVES

To investigate the relationship between multimorbidity and healthcare utilisation patterns among the highest cost patients in a large, integrated healthcare system.

DESIGN

In this retrospective cross-sectional study of all patients in the U.S. Veterans Affairs (VA) Health Care System, we aggregated costs of individuals' outpatient and inpatient care, pharmacy services and VA-sponsored contract care received in 2010. We assessed chronic condition prevalence, multimorbidity as measured by comorbidity count, and multisystem multimorbidity (number of body systems affected by chronic conditions) among the 5% highest cost patients. Using multivariate regression, we examined the association between multimorbidity and healthcare utilisation and costs, adjusting for age, sex, race/ethnicity, marital status, homelessness and health insurance status.

SETTING

USA VA Health Care System.

PARTICIPANTS

5.2 million VA patients.

MEASURES

Annual total costs; absolute and share of costs generated through outpatient, inpatient, pharmacy and VA-sponsored contract care; number of visits to primary, specialty and mental healthcare; number of emergency department visits and hospitalisations.

RESULTS

The 5% highest cost patients (n=261,699) accounted for 47% of total VA costs. Approximately two-thirds of these patients had chronic conditions affecting ≥3 body systems. Patients with cancer and schizophrenia were less likely to have documented comorbid conditions than other high-cost patients. Multimorbidity was generally associated with greater outpatient and inpatient utilisation. However, increased multisystem multimorbidity was associated with a higher outpatient share of total costs (1.6 percentage points per affected body system, p<0.01) but a lower inpatient share of total costs (-0.6 percentage points per affected body system, p<0.01).

CONCLUSIONS

Multisystem multimorbidity is common among high-cost VA patients. While some patients might benefit from disease-specific programmes, for most patients with multimorbidity there is a need for interventions that coordinate and maximise efficiency of outpatient services across multiple conditions.

Partnered research in healthcare delivery redesign for high-need, high-cost patients: development and feasibility of an Intensive Management Patient-Aligned Care Team (ImPACT)

OBJECTIVES

We employed a partnered research healthcare delivery redesign process to improve care for high-need, high-cost (HNHC) patients within the Veterans Affairs (VA) healthcare system.

METHODS

Health services researchers partnered with VA national and Palo Alto facility leadership and clinicians to: 1) analyze characteristics and utilization patterns of HNHC patients, 2) synthesize evidence about intensive management programs for HNHC patients, 3) conduct needs-assessment interviews with HNHC patients (n = 17) across medical, access, social, and mental health domains, 4) survey providers (n = 8) about care challenges for HNHC patients, and 5) design, implement, and evaluate a pilot Intensive Management Patient-Aligned Care Team (ImPACT) for a random sample of 150 patients.

RESULTS

HNHC patients accounted for over half (52 %) of VA facility patient costs. Most (94 %) had three or more chronic conditions, and 60 % had a mental health diagnosis. Formative data analyses and qualitative assessments revealed a need for intensive case management, care coordination, transitions navigation, and social support and services. The ImPACT multidisciplinary team developed care processes to meet these needs, including direct access to team members (including after-hours), chronic disease management protocols, case management, and rapid interventions in response to health changes or acute service use. Two-thirds of invited patients (n = 101) enrolled in ImPACT, 87 % of whom remained actively engaged at 9 months. ImPACT is now serving as a model for a national VA intensive management demonstration project.

CONCLUSIONS

Partnered research that incorporated population data analysis, evidence synthesis, and stakeholder needs assessments led to the successful redesign and implementation of services for HNHC patients. The rigorous design process and evaluation facilitated dissemination of the intervention within the VA healthcare system.

IMPACT STATEMENT

Employing partnered research to redesign care for high-need, high-cost patients may expedite development and dissemination of high-value, cost-saving interventions.

Estimating the Impact of Oral Diabetes Medication Adherence on Medical Costs in VA

Background. Despite evidence demonstrating clinical benefits of oral hypoglycemic agents (OHAs), adherence to OHAs is generally poor. The economic benefit of OHA adherence among patients in the Veterans Affairs Health System (VA) is unknown. Objective. This study assessed the impact of OHA adherence on medical costs and hospitalization probability in a VA population. Methods. This retrospective cohort study included 26 051 VA patients with diabetes who completed the 2006 Survey of Health Care Experiences of Patients. We calculated total costs in fiscal year (FY) 2007 from the VA perspective as the sum of costs for all inpatient and outpatient services provided by VA. We measured adherence using the medication possession ratio (MPR), which reflected the proportion of days covered in FY2007. Patients were classified as adherent if MPR ≥80%. Analyses using instrumental variables (IVs) addressed potential biases from unobserved confounding. Results. On average, adherent patients incurred lower total medical costs ($4051 vs $5133, P < 0.001) and were less likely to be hospitalized (4.6% vs 7.2%, P < 0.001) compared with nonadherent patients. After covariate adjustment, adherence was associated with a $170 reduction in total costs ( P < 0.011) and a 1.5 percentage point decrease ( P < 0.001) in hospitalization probability. IV estimates indicated that the impacts of OHA adherence were larger in magnitude. Conclusion. On average, OHA adherence was associated with lower medical costs of at least $170 per patient over a 1-year period. Results from this study are important for informing policy decisions to broadly disseminate programs to promote diabetes medication adherence, particularly in a VA setting.

Costs associated with multimorbidity among VA patients

BACKGROUND

Multimorbidity (the presence of multiple chronic conditions) is associated with high levels of healthcare utilization and associated costs. We investigated the association between number of chronic conditions and costs of care for nonelderly and elderly Veterans Affairs (VA) patients, and estimated mean VA healthcare costs for the most prevalent and most costly combinations of 3 conditions (triads).

METHODS

We identified a cohort of 5,233,994 patients who received care within the VA system in fiscal year 2010. We estimated the costs of VA care for each patient using established methods and aggregated costs for inpatient care, outpatient care, prescription drugs, and contract care. Using ICD-9 diagnosis fields from all inpatient and outpatient records, we determined the prevalence of 28 chronic conditions and all condition triads. We then compared the condition-cost gradient, most prevalent triads, and most costly triads among nonelderly (below 65 y) and elderly (65 y and above) patients.

RESULTS

Almost one third of nonelderly and slightly more than a third of elderly VA patients had ≥3 conditions, but these patients accounted for 65% and 67% of total VA healthcare costs, respectively. The most common triad of chronic conditions for both nonelderly and elderly patients was diabetes, hyperlipidemia, and hypertension (24% and 29%, respectively). Conditions that were present in the most costly triads included spinal cord injury, heart failure, renal failure, ischemic heart disease, peripheral vascular disease, stroke, and depression. Although patients with the most costly triads had average costs that were 3 times higher than average costs among patients with ≥3 conditions, the prevalence of these costly triads was extremely low (0.1%-0.4%).

CONCLUSIONS

Patients with multiple chronic conditions account for a disproportionate share of VA healthcare expenditures. Interventions that aim to optimize care and contain costs for multimorbid patients need to incorporate strategies specific to the most prevalent and the most costly combinations of conditions.

Reducing costs of acute care for ambulatory care-sensitive medical conditions: the central roles of comorbid mental illness

BACKGROUND

New patient-centered models of ambulatory care aim to substitute better primary care for preventable acute care within existing primary care practices. This study aims to identify whether mental illness and other characteristics of primary care patients are related to risk for an acute event for an ambulatory care-sensitive condition (ACSC).

METHODS

We conducted a 2-year, longitudinal analysis comparing ambulatory care-sensitive admissions and emergency department (ED) visits for a cohort of 18,526 primary care patients followed in 5 veterans affairs (VA) primary care sites. We compared rates, risks, and costs of ACSC-related acute events during a follow-up year for patients with and without mental illness seen during the previous year in primary care.

RESULTS

The 12-month rate of ACSC admissions was 31.7 admissions per 1000 patients with mental health diagnoses compared with 21.0 admissions per 1000 patients without (P=0.0009). The ACSC-associated ED visit rate was also significantly higher (P<0.0001). In adjusted analyses controlling for demographics, chronic disease, illness severity, and prior ambulatory care, those with depression or drug use disorders had higher odds of receiving ACSC-related acute care (odds ratio=1.10, 95% confidence interval: 1.03, 1.17 for depression; odds ratio=1.48, 95% confidence interval: 1.05, 1.99 for drug use disorders). Costs per admission and ED visit were similar across patient groups. Higher medication use and lower medication regimen complexity were significantly associated with decreased risk for ACSC events.

CONCLUSIONS

Prior mental health diagnoses and medication use were independent risk factors for ACSC-related acute care. These risk factors require focused attention if the full benefits of new primary care models are to be achieved.

Trends in rates and attributable costs of conditions among female VA patients, 2000 and 2008

RESEARCH OBJECTIVE

We examined rates of specific health conditions among female veteran patients and how the share of health care costs attributable to these conditions changed in the Veterans Affairs system between 2000 and 2008.

METHODS

Veterans' Administration (VA)-provided and VA-sponsored inpatient, outpatient, and pharmacy utilization and cost files were analyzed for women veterans receiving care in 2000 and 2008. We estimated rates of 42 common health conditions and per-patient condition costs from a regression model and calculated the total population costs attributable to each condition and changes by year.

RESULTS

The number of female VA patients increased from 156,305 in 2000 to 266,978 in 2008; 88% were under 65 years of age. The rate of women treated for specific conditions increased substantially for many gender-specific and psychiatric conditions: For example, pregnancy increased 133%, diagnosed posttraumatic stress disorder increased 106%, and diagnosed depression increased 41%. Mean costs of care increased from $4,962 per woman in 2000 to $6,570 per woman in 2008. Psychiatric conditions accounted for more than one quarter of population health care costs in 2008. Gender-specific conditions and musculoskeletal diseases accounted for a rising share of population costs and rose to 8.2% and 8.7% of population costs in 2008, respectively.

CONCLUSION

Gender-specific, cancer, musculoskeletal, and mental health and substance use disorders accounted for a greater share of overall costs during the study period and were primarily driven by higher rates of diagnosed conditions and, for several conditions, higher treatment costs.

If we can force people to purchase health insurance, then let's force them to be treated too

Proponents of the 2010 Patient Protection and Affordable Care Act (PPACA) justify the Act's mandate that uninsured individuals either purchase a minimally defined health insurance policy (“Maintain Minimum Essential Coverage”) or pay a fine, as a necessary and proper exercise of Congress's express constitutional power to regulate interstate and foreign commerce. The United States Supreme Court will decide the correctness of that highly debatable position during its spring 2012 session.

Assuming, without by any means predicting, that the validity of all parts of the PPACA—including the individual insurance mandate—is upheld, the Court's (likely multiple) opinions will constitute a major development in the evolution of American constitutional jurisprudence, even if Congress subsequently repeals specific sections of the legislation. Several commentators have expressed concern about the ramifications of a judicially validated PPACA for attempts by the government, especially through the mechanism of Comparative Effectiveness Research (CER), to limit or ration particular forms of potentially beneficial medical care for some or all patients.