Association of Admission to Veterans Affairs Hospitals vs Non-Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia

Inclusion of Veterans Health Administration hospitals in Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings

BACKGROUND/OBJECTIVE

The Centers for Medicare & Medicaid Services (CMS) Overall Hospital Quality Star Rating, established in 2016, is a summary of publicly available quality information for acute care hospitals. In July 2023, Veterans Health Administration (VHA) hospitals became eligible to receive a CMS Overall Hospital Quality Star Rating for the first time. Our objective was to compare performance in quality ratings among VHA and non-VHA hospitals.

METHODS

We used the hospital quality measure scores posted to Care Compare on Medicare.gov as of January 2023 as our primary data set. We conducted a pair of analyses to characterize the performance of VHA hospitals compared to non-VHA hospitals: an overall analysis including all rated hospitals, and a matched analysis in which only a single nearby hospital was included for each VHA hospital.

RESULTS

Of the 4518 non-VHA hospitals, 2962 (65.6%) received a Star Rating, compared to 114 (84%) of 136 VHA hospitals. VHA hospitals tended to receive higher ratings overall (one-star: 8%; two-star: 11%; three-star: 14%; four-star: 35%; five-star: 32%) than non-VHA (one-star: 8%; two-star: 22%; three-star: 29%; four-star: 26%; five-star: 15%). A similar pattern was observed in the matched analysis.

CONCLUSIONS

VHA hospitals tended to perform better on the Overall Star Rating compared to non-VHA hospitals, as evidenced by being more likely to receive a four- or five-star rating. The eligibility of VHA hospitals to receive an Overall Star Rating signifies an important addition to the program that will allow Veterans to make more informed healthcare decisions.

The PACT Act-Expanding Coverage and Access for Veterans

This Viewpoint examines the implementation of the Sergeant First Class Heath Robinson Honoring Our Promise to Address Comprehensive Toxics Act, known as the PACT Act, which expanded health care for millions of veterans from any era exposed to toxic hazards.

Association of Posttraumatic Stress Disorder and Race on Readmissions After Stroke

BACKGROUND

There is limited research on outcomes of patients with posttraumatic stress disorder (PTSD) who also develop stroke, particularly regarding racial disparities. Our goal was to determine whether PTSD is associated with the risk of hospital readmission after stroke and whether racial disparities existed.

METHODS

The analytical sample consisted of all veterans receiving care in the Veterans Health Administration who were identified as having a new stroke requiring inpatient admission based on the International Classification of Diseases codes. PTSD and comorbidities were identified using the International Classification of Diseases codes and given the date of first occurrence. The retrospective cohort data were obtained from the Veterans Affairs Corporate Data Warehouse. The main outcome was any readmission to Veterans Health Administration with a stroke diagnosis. The hypothesis that PTSD is associated with readmission after stroke was tested using Cox regression adjusted for patient characteristics including age, sex, race, PTSD, smoking status, alcohol use, and comorbidities treated as time-varying covariates.

RESULTS

Our final cohort consisted of 93 651 patients with inpatient stroke diagnosis and no prior Veterans Health Administration codes for stroke starting from 1999 with follow-up through August 6, 2022. Of these patients, 12 916 (13.8%) had comorbid PTSD. Of the final cohort, 16 896 patients (18.0%) with stroke were readmitted. Our fully adjusted model for readmission found an interaction between African American veterans and PTSD with a hazard ratio of 1.09 ([95% CI, 1.00-1.20] P=0.047). In stratified models, PTSD has a significant hazard ratio of 1.10 ([95% CI, 1.02-1.18] P=0.01) for African American but not White veterans (1.05 [95% CI, 0.99-1.11]; P=0.10).

CONCLUSIONS

Among African American veterans who experienced stroke, preexisting PTSD was associated with increased risk of readmission, which was not significant among White veterans. This study highlights the need to focus on high-risk groups to reduce readmissions after stroke.

Reexamining Differences Between Black and White Veterans in Hospital Mortality and Other Outcomes in Veterans Affairs and Other Hospitals

OBJECTIVES

To examine Black-White patient differences in mortality and other hospital outcomes among Veterans treated in Veterans Affairs (VA) and non-VA hospitals.

BACKGROUND

Lower hospital mortality has been documented in older Black patients relative to White patients, yet the mechanisms have not been determined. Comparing other hospital outcomes and multiple hospital systems may help inform the reasons for these differences.

METHODS

Repeated cross-sectional analysis of hospitalization records was conducted for Veterans discharged in VA and non-VA hospitals from January 1, 2013 to December 31, 2017 in 11 states. Hospital outcomes included 30-day mortality, 30-day readmissions, inpatient costs, and length of stay. Hospitalizations were for acute myocardial infarction, coronary artery bypass graft surgery, gastrointestinal bleeding, heart failure, pneumonia, and stroke. Differences in outcomes were estimated between Black and White patients for VA and non-VA hospitals and age groups younger than 65 years or 65 years and older in regression models adjusting for patient and hospital factors.

RESULTS

There were a total of 459,574 study patients. Older Black patients had lower adjusted mortality for acute myocardial infarction, gastrointestinal bleeding, heart failure, and pneumonia. Adjusted probability of readmission was higher and adjusted mean length of stay and costs were greater for older Black patients relative to White patients in non-VA hospitals for several conditions. Fewer differences were observed in younger patients and in VA hospitals.

CONCLUSION

While older Black patients had lower mortality, other outcomes compared poorly with White patients. Differences were not fully explained by observable patient and hospital factors although social determinants may contribute to these differences.

Hospital and Patient Factors Affecting Veterans' Hospital Choice

Veterans enrolled in the Veterans Affairs (VA) health care system gained greater access to non-VA care beginning in 2014. We examined hospital and Veteran characteristics associated with hospital choice. We conducted a longitudinal study of elective hospitalizations 2011 to 2017 in 11 states and modeled patients' choice of VA hospital, large non-VA hospital, or small non-VA hospital in conditional logit models. Patients had higher odds of choosing a hospital with an academic affiliation, better patient experience rating, location closer to them, and a more common hospital type. Patients who were male, racial/ethnic minorities, had higher VA enrollment priority, and had a mental health comorbidity were more likely than other patients to choose a VA hospital than a non-VA hospital. Our findings suggest that patients respond to certain hospital attributes. VA hospitals may need to maintain or achieve high levels of quality and patient experience to attract or retain patients in the future.

Medication Safety Events After Acute Myocardial Infarction Among Veterans Treated at VA Versus Non-VA Hospitals

INTRODUCTION

Fragmentation of health care across systems can contribute to mistakes in prescribing and filling medications among patients treated for myocardial infarction (MI). We sought to compare omissions, duplications, and delays in outpatient medications used for secondary prevention among veterans treated for MI at Veterans Affairs (VA) versus non-VA hospitals.

METHODS

We utilized national VA and Centers for Medicare and Medicaid Services data (2012-2018) to identify veterans 65 years or older hospitalized for MI and measured the use of outpatient medications for secondary prevention in the 30 days after MI among those treated at VA versus non-VA hospitals.

RESULTS

A total of 118,456 veterans experiencing MI were included; of which 102,209 were hospitalized at non-VA hospitals. An omission in any medication class occurred more frequently among veterans treated at non-VA versus VA hospitals (82.8% vs 67.8%, P < 0.001). In multivariable modeling, the odds of omissions in any medication class were higher among those treated at non-VA versus VA hospitals (odds ratio: 3.04; 95% CI: 2.88-3.20). Duplications occurred more frequently in veterans treated at non-VA versus VA hospitals: 1.9% versus 1.6% had 1 or more for non-VA versus VA hospitals ( P < 0.001). Veterans treated at non-VA hospitals were more likely to have delays of 3 days or more in prescription fills after hospital discharge (88.4% vs 70.6% across all classes, P < 0.001).

CONCLUSIONS

Omissions, duplications, and delays in outpatient prescribing of secondary prevention medications were more common among 118,456 veterans treated at non-VA versus VA hospitals for MI. Interventions aimed at improving care transitions and optimizing medication use among veterans treated at non-VA hospitals should be implemented.

Association of hospital and market characteristics with 30-day readmission rates from 2009 to 2015

Objectives

The US government implemented the Hospital Readmission Reduction Program on 1 October 2012 to reduce readmission rates through financial penalties to hospitals with excessive readmissions. We conducted a pooled cross-sectional analysis of US hospitals from 2009 to 2015 to determine the association of the Hospital Readmission Reduction Program with 30-day readmissions.

Methods

We utilized multivariable linear regression with year and state fixed effects. The model was adjusted for hospital and market characteristics lagged by 1 year. Interaction effects of hospital and market characteristics with the Hospital Readmission Reduction Program indicator variable was also included to assess whether associations of Hospital Readmission Reduction Program with 30-day readmissions differed by these characteristics.

Results

In multivariable adjusted analysis, the main effect of the Hospital Readmission Reduction Program was a 3.80 percentage point (p < 0.001) decrease in readmission rates in 2013-2015 relative to 2009-2012. Hospitals with lower readmission rates overall included not-for-profit and government hospitals, medium and large hospitals, those in markets with a larger percentage of Hispanic residents, and population 65 years and older. Higher hospital readmission rates were observed among those with higher licensed practical nurse staffing ratio, larger Medicare and Medicaid share, and less competition. Statistically significant interaction effects between hospital/market characteristics and the Hospital Readmission Reduction Program on the outcome of 30-day readmission rates were present. Teaching hospitals, rural hospitals, and hospitals in markets with a higher percentage of residents who were Black experienced larger decreases in readmission rates. Hospitals with larger registered nurse staffing ratios and in markets with higher uninsured rate and percentage of residents with a high school education or greater experienced smaller decreases in readmission rates.

Conclusion

Findings of the current study support the effectiveness of the Hospital Readmission Reduction Program but also point to the need to consider the ability of hospitals to respond to penalties and incentives based on their characteristics during policy development.

Outcomes of Veterans Treated in Veterans Affairs Hospitals vs Non-Veterans Affairs Hospitals

Importance

Many veterans enrolled in the Veterans Affairs (VA) health care system have access to non-VA care through insurance and VA-purchased community care. Prior comparisons of VA and non-VA hospital outcomes have been limited to subpopulations.

Objective

To compare outcomes for 6 acute conditions in VA and non-VA hospitals for younger and older veterans using VA and all-payer discharge data.

Design, Setting, and Participants

This cohort study used a repeated cross-sectional analysis of hospitalization records for acute myocardial infarction (AMI), coronary artery bypass graft (CABG), gastrointestinal (GI) hemorrhage, heart failure (HF), pneumonia, and stroke. Participants included VA enrollees from 11 states at VA and non-VA hospitals from 2012 to 2017. Analysis was conducted from July 1, 2022, to October 18, 2023.

Exposures

Treatment in VA or non-VA hospital.

Main Outcome and Measures

Thirty-day mortality, 30-day readmission, length of stay (LOS), and costs. Average treatment outcomes of VA hospitals were estimated using inverse probability weighted regression adjustment to account for selection into hospitals. Models were stratified by veterans' age (aged less than 65 years and aged 65 years and older).

Results

There was a total of 593 578 hospitalizations and 414 861 patients with mean (SD) age 75 (12) years, 405 602 males (98%), 442 297 hospitalizations of non-Hispanic White individuals (75%) and 73 155 hospitalizations of non-Hispanic Black individuals (12%) overall. VA hospitalizations had a lower probability of 30-day mortality for HF (age ≥65 years, -0.02 [95% CI, -0.03 to -0.01]) and stroke (age <65 years, -0.03 [95% CI, -0.05 to -0.02]; age ≥65 years, -0.05 [95% CI, -0.07 to -0.03]). VA hospitalizations had a lower probability of 30-day readmission for CABG (age <65 years, -0.04 [95% CI, -0.06 to -0.01]; age ≥65 years, -0.05 [95% CI, -0.07 to -0.02]), GI hemorrhage (age <65 years, -0.04 [95% CI, -0.06 to -0.03]), HF (age <65 years, -0.05 [95% CI, -0.07 to -0.03]), pneumonia (age <65 years, -0.04 [95% CI, -0.06 to -0.03]; age ≥65 years, -0.03 [95% CI, -0.04 to -0.02]), and stroke (age <65 years, -0.11 [95% CI, -0.13 to -0.09]; age ≥65 years, -0.13 [95% CI, -0.16 to -0.10]) but higher probability of readmission for AMI (age <65 years, 0.04 [95% CI, 0.01 to 0.06]). VA hospitalizations had a longer mean LOS and higher costs for all conditions, except AMI and stroke in younger patients.

Conclusions and Relevance

In this cohort study of veterans, VA hospitalizations had lower mortality for HF and stroke and lower readmissions, longer LOS, and higher costs for most conditions compared with non-VA hospitalizations with differences by condition and age group. There were tradeoffs between better outcomes and higher resource use in VA hospitals for some conditions.

Association between the Neutrophil-to-Lymphocyte Ratio and Inpatient Mortality in Hospitalized Older Veterans with COVID-19 Infection

OBJECTIVES

Determine the association of high neutrophil-to-lymphocyte ratio (NLR) values with inpatient mortality and other outcomes in older veterans hospitalized with coronavirus disease 2019 (COVID-19).

METHODS

This was a retrospective, multicenter, cohort study of hospitalized adults, with laboratory-confirmed COVID-19 infection who were studied for 1 year after discharge or until death. The NLR was categorized into tertiles, and we determined frailty status with the 31-item Veterans Affairs Frailty Index. Multivariate logistic regression and adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were performed to assess the association between NLR and clinical outcomes.

RESULTS

The study included 615 hospitalized adult veterans, mean age 66.12 (standard deviation 14.79) years, 93.82% (n = 577) male, 57.56% (n = 354) White, 81.0% (n = 498) non-Hispanic, median body mass index of 30.70 (interquartile range 25.64-34.99, standard deviation 7.13), and median length of stay of 8 days (interquartile range 3-15). Individuals in the middle and upper tertile groups had higher inpatient mortality (8.37%, n = 17 and 18.36%, n = 38, respectively) as compared with the lower tertile (2.93%, n = 6, P < 0.001). Compared with the lowest tertile, the middle and upper tertiles had a higher risk of inpatient mortality (aOR 3.75, 95% CI 1.38-10.21, P = 0.01, and aOR 8.13, 95% CI 3.18-20.84, P < 0.001, respectively). The highest tertile had a higher odds of intensive care unit admission (aOR 4.47, 95% CI 2.33-8.58, P < 0.001) and intensive care unit transfer (aOR 3.54, 95% CI 1.84-6.81, P < 0.001).

CONCLUSIONS

The NLR score is a clinically useful tool to predict in-hospital mortality in older patients with COVID-19.

"And if my goal is never to leave Casey House?": The significance of place attachment for patients at a specialty HIV hospital in Toronto, Canada

The current healthcare context prioritizes shorter hospital stays and fewer readmissions. However, these measures may not fully capture care experiences for people living with HIV, especially those experiencing medical, psychosocial, and economic complexity. As part of a larger study, we conducted seven focus groups with people living with HIV (n = 52), who were current/former patients at a Toronto-based specialty hospital, examining their desires/needs for hospital programs. Using a novel place attachment lens, we conducted a thematic analysis focusing on the emotional bond between person (patient) and place (hospital). Our findings show that participants wanted an ongoing connection to hospital to fulfill their need(s) for control, security, restoration and belonging. Indeed, continual attachment to hospital may be beneficial for patients with complex care needs. Our research has implications for care engagement and retention frameworks.

Myocardial Infarction Across COVID-19 Pandemic Phases: Insights From the Veterans Health Affairs System

Background Cardiovascular procedural treatments were deferred at scale during the COVID-19 pandemic, with unclear impact on patients presenting with non-ST-segment-elevation myocardial infarction (NSTEMI). Methods and Results In a retrospective cohort study of all patients diagnosed with NSTEMI in the US Veterans Affairs Healthcare System from January 1, 2019 to October 30, 2022 (n=67 125), procedural treatments and outcomes were compared between the prepandemic period and 6 unique pandemic phases: (1) acute phase, (2) community spread, (3) first peak, (4) post vaccine, (5) second peak, and (6) recovery. Multivariable regression analysis was performed to assess the association between pandemic phases and 30-day mortality. NSTEMI volumes dropped significantly with the pandemic onset (62.7% of prepandemic peak) and did not revert to prepandemic levels in subsequent phases, even after vaccine availability. Percutaneous coronary intervention and coronary artery bypass grafting volumes declined proportionally. Compared with the prepandemic period, patients with NSTEMI experienced higher 30-day mortality during Phases 2 and 3, even after adjustment for COVID-19-positive status, demographics, baseline comorbidities, and receipt of procedural treatment (adjusted odds ratio for Phases 2 and 3 combined, 1.26 [95% CI, 1.13-1.43], P<0.01). Patients receiving Veterans Affairs-paid community care had a higher adjusted risk of 30-day mortality compared with those at Veterans Affairs hospitals across all 6 pandemic phases. Conclusions Higher mortality after NSTEMI occurred during the initial spread and first peak of the pandemic but resolved before the second, higher peak-suggesting effective adaptation of care delivery but a costly delay to implementation. Investigation into the vulnerabilities of the early pandemic spread are vital to informing future resource-constrained practices.

Veterans Health Administration (VA) vs. Non-VA Healthcare Quality: A Systematic Review

BACKGROUND

The Veterans Health Administration (VA) serves Veterans in the nation's largest integrated healthcare system. VA seeks to provide high quality of healthcare to Veterans, but due to the VA Choice and MISSION Acts, VA increasingly pays for care outside of its system in the community. This systematic review compares care provided in VA and non-VA settings, and includes published studies from 2015 to 2023, updating 2 prior systematic reviews on this topic.

METHODS

We searched PubMed, Web of Science, and PsychINFO from 2015 to 2023 for published literature comparing VA and non-VA care, including VA-paid community care. Records were included at the abstract or full-text level if they compared VA medical care with care provided in other healthcare systems, and included clinical quality, safety, access, patient experience, efficiency (cost), or equity outcomes. Data from included studies was abstracted by two independent reviewers, with disagreements resolved by consensus. Results were synthesized narratively and via graphical evidence maps.

RESULTS

Thirty-seven studies were included after screening 2415 titles. Twelve studies compared VA and VA-paid community care. Most studies assessed clinical quality and safety, and studies of access were second most common. Only six studies assessed patient experience and six assessed cost or efficiency. Clinical quality and safety of VA care was better than or equal to non-VA care in most studies. Patient experience in VA care was better than or equal to experience in non-VA care in all studies, but access and cost/efficiency outcomes were mixed.

DISCUSSION

VA care is consistently as good as or better than non-VA care in terms of clinical quality and safety. Access, cost/efficiency, and patient experience between the two systems are not well studied. Further research is needed on these outcomes and on services widely used by Veterans in VA-paid community care, like physical medicine and rehabilitation.

The relationship between hospital ownership, in-hospital mortality, and medical expenses: an analysis of three common conditions in China

BACKGROUND

Private hospitals expanded rapidly in China since 2009 following its national health reform encouraging private investment in the hospital sector. Despite long-standing debates over the performance of different types of hospitals, empirical evidence under the context of developing countries remains scant. We investigated the disparities in health care quality and medical expenses among public, private not-for-profit, and private for-profit hospitals.

METHODS

A total of 64,171 inpatients (51,933 for pneumonia (PNA), 9,022 for heart failure (HF) and 3,216 for acute myocardial infarction (AMI)) who were admitted to 528 secondary hospitals in Sichuan province, China, during the fourth quarters of 2016, 2017, and 2018 were selected for this study. Multilevel logistic regressions and multilevel linear regressions were utilized to assess the relationship between hospital ownership types and in-hospital mortality, as well as medical expenses for PNA, HF, and AMI, after adjusting for relevant hospital and patient characteristics, respectively.

RESULTS

The private not-for-profit (adjusted OR, 1.69; 95% CI, 1.08, 2.64) and for-profit (adjusted OR, 1.67; 95% CI, 1.06, 2.62) hospitals showed higher in-hospital mortality than the public ones for PNA, but not for AMI and HF. No significant differences were found in medical expenses across hospital ownership types for AMI, but the private not-for-profit was associated with 9% higher medical expenses for treating HF, while private not-for-profit and for-profit hospitals were associated with 10% and 11% higher medical expenses for treating PNA than the public hospitals. No differences were found between the private not-for-profit and private for-profit hospitals both in in-hospital mortality and medical expenses across the three conditions.

CONCLUSION

The public hospitals had at least equal or even higher healthcare quality and lower medical expenses than the private ones in China, while private not-for-profit and for-profit hospitals had similar performances in these aspects. Our results added evidences on hospitals' performances among different ownership types under China's context, which has great potential to inform the optimization of healthcare systems implemented among developing countries confronted with similar challenges.

Association between a Frailty Index from Common Laboratory Values and Vital Signs (FI-LAB) and Hospital and Post-Hospital Outcomes in Veterans with COVID-19 Infection

OBJECTIVES

Determine the association of higher FI-LAB scores, derived from common laboratory values and vital signs, with hospital and post-hospital outcomes in Veterans hospitalized with COVID-19 infection.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective, multicenter, cohort study of 7 Veterans Health Administration (VHA) medical centers in Florida and Puerto Rico. Patients aged 18 years and older hospitalized with COVID-19 and followed for up to 1 year post discharge or until death. Clinical Frailty Measure: FI-LAB.

MAIN OUTCOMES AND MEASURES

Hospital and post-hospital outcomes.

RESULTS

Of the 671 eligible patients, 615 (91.5%) patients were included (mean [SD] age, 66.1 [14.8] years; 577 men [93.8%]; median stay, 8 days [IQR:3-15]. There were sixty-one in-hospital deaths. Veterans in the moderate and high FI-LAB groups had a higher proportion of inpatient mortality (13.3% and 20.6%, respectively) than the low group (4.1%), p <0.001. Moderate and high FI-LAB scores were associated with greater inpatient mortality when compared to the low group, OR:3.22 (95%CI:1.59-6.54), p=.001 and 6.05 (95%CI:2.48-14.74), p<0.001, respectively. Compared with low FI-LAB scores, moderate and high scores were also associated with prolonged length of stay, intensive care unit (ICU) admission, and transfer.

CONCLUSIONS AND RELEVANCE

In this study of patients admitted to 7 VHA Hospitals during the first surge of the pandemic, higher FI-LAB scores were associated with higher in-hospital mortality and other in-hospital outcomes; FI-LAB can serve as a validated, rapid, feasible, and objective frailty tool in hospitalized adults with COVID-19 that can aid clinical care.

Preferences of Older Adult Veterans With Heart Failure for Engaging With Mobile Health Technology to Support Self-care: Qualitative Interview Study Among Patients With Heart Failure and Content Analysis

BACKGROUND

Heart failure (HF) affects approximately 6.5 million adults in the United States, disproportionately afflicting older adults. Mobile health (mHealth) has emerged as a promising tool to empower older adults in HF self-care. However, little is known about the use of this approach among older adult veterans.

OBJECTIVE

The goal of this study was to explore which features of an app were prioritized for older adult veterans with HF.

METHODS

Between January and July 2021, we conducted semistructured interviews with patients with heart failure aged 65 years and older at a single facility in an integrated health care system (the Veterans Health Administration). We performed content analysis and derived themes based on the middle-range theory of chronic illness, generating findings both deductively and inductively. The qualitative questions captured data on the 3 key themes of the theory: self-care maintenance, self-care monitoring, and self-care management. Qualitative responses were analyzed using a qualitative data management platform, and descriptive statistics were used to analyze demographic data.

RESULTS

Among patients interviewed (n=9), most agreed that a smartphone app for supporting HF self-care was desirable. In addition to 3 a priori themes, we identified 7 subthemes: education on daily HF care, how often to get education on HF, support of medication adherence, dietary restriction support, goal setting for exercises, stress reduction strategies, and prompts of when to call a provider. In addition, we identified 3 inductive themes related to veteran preferences for app components: simplicity, ability to share data with caregivers, and positive framing of HF language.

CONCLUSIONS

We identified educational and tracking app features that can guide the development of HF self-care for an older adult veteran population. Future research needs to be done to extend these findings and assess the feasibility of and test an app with these features.

Association of Diagnosed Dementia with Post-discharge Mortality and Readmission Among Hospitalized Medicare Beneficiaries

BACKGROUND

Patients with dementia are frequently hospitalized and may face barriers in post-discharge care.

OBJECTIVE

To determine whether patients with dementia have an increased risk of adverse outcomes following discharge.

DESIGN

Retrospective cohort study.

SUBJECTS

Medicare beneficiaries hospitalized in 2016.

MAIN MEASURES

Co-primary outcomes were mortality and readmission within 30 days of discharge. Multivariable logistic regression models were estimated to assess the risk of each outcome for patients with and without dementia accounting for demographics, comorbidities, frailty, hospitalization factors, and disposition.

KEY RESULTS

The cohort included 1,089,109 hospitalizations of which 211,698 (19.3%) were of patients with diagnosed dementia (median (IQR) age 83 (76-89); 61.5% female) and 886,411 were of patients without dementia (median (IQR) age 76 (79-83); 55.0% female). At 30 days following discharge, 5.7% of patients with dementia had died compared to 3.1% of patients without dementia (adjusted odds ratio (aOR) 1.21; 95% CI 1.17 to 1.24). At 30 days following discharge, 17.7% of patients with dementia had been readmitted compared to 13.1% of patients without dementia (aOR 1.02; CI 1.002 to 1.04). Dementia was associated with an increased odds of readmission among patients discharged to the community (aOR 1.07, CI 1.05 to 1.09) but a decreased odds of readmission among patients discharge to nursing facilities (aOR 0.93, CI 0.90 to 0.95). Patients with dementia who were discharged to the community were more likely to be readmitted than those discharged to nursing facilities (18.9% vs 16.0%), and, when readmitted, were more likely to die during the readmission (20.7% vs 4.4%).

CONCLUSIONS

Diagnosed dementia was associated with a substantially increased risk of mortality and a modestly increased risk of readmission within 30 days of discharge. Patients with dementia discharged to the community had particularly elevated risk of adverse outcomes indicating possible gaps in post-discharge services and caregiver support.

Racial Disparities in the Surgical Treatment of Clinical Stage I Non-Small Cell Lung Cancer Among Veterans

BACKGROUND

Prior studies in the civilian population have reported racial disparities in lung cancer outcomes following surgical treatment, including inferior quality of care and worse survival. It is unclear if racial disparities exist in the Veterans Health Administration (VHA), the largest integrated health care system in the United States.

RESEARCH QUESTION

Do racial disparities affect early-stage non-small cell lung cancer (NSCLC) outcomes following surgical treatment within the VHA?

STUDY DESIGN AND METHODS

This retrospective cohort study was conducted in veterans with clinical stage I NSCLC undergoing surgical treatment in the VHA system. Demographic characteristics, access to care, surgical quality measures, and short- and long-term oncologic outcomes between White and Black veterans were evaluated.

RESULTS

From 2006 to 2016, a total of 18,800 veterans with clinical stage I NSCLC were included. The rates of definitive surgical treatment were similar between Black (57.3%) and White (58.1%) veterans (P = .42). The final study cohort included 9,842 patients receiving surgical treatment, of whom 8,356 (84.9%) were White and 1,486 (15.1%) were Black. Black patients were younger and more likely to smoke, although comorbidities were similar between the two groups. Black patients were somewhat less likely to receive adequate lymph node sampling (30.6% vs 33.3%; P = .050); however, other access-to-care metrics and surgical quality measures, including rates of anatomic lobectomy (71.9% vs 69.4%; P = .189) and positive margins (3.2% vs 3.1%; P = .955), were similar between the two groups. Although Black veterans were less likely to experience major postoperative complications, there was no difference in 30-day readmission, 30-day mortality, or disease-free survival between the two groups. Black patients had significantly better risk-adjusted overall survival (hazard ratio, 0.802; 95% CI, 0.729-0.883; P < .001).

INTERPRETATION

Among veterans with NSCLC undergoing surgical treatment through the VHA, Black patients received comparable care with equivalent if not superior outcomes compared with White patients.

The association of a frailty index from laboratory tests and vital signs with clinical outcomes in hospitalized older adults

BACKGROUND

Frailty, a state of vulnerability to stressors resulting from loss of physiological reserve due to multisystemic dysfunction, is common among hospitalized older adults. Hospital clinicians need objective and practical instruments that identify older adults with frailty. The FI-LAB is based on laboratory values and vital signs and may capture biological changes of frailty that predispose hospitalized older adults to complications. The study's aim was to assess the association of the FI-LAB versus VA-FI with hospital and post-hospital clinical outcomes in older adults.

METHODS

Retrospective cohort study was conducted on Veterans aged ≥60 admitted to a VA hospital. We identified acute hospitalizations January 2011-December-2014 with 1-year follow-up. A 31-item FI-LAB was created from blood laboratory tests and vital signs collected within the first 48 h of admission and scores were categorized as low (<0.25), moderate (0.25-0.40), and high (>0.40). For each FI-LAB group, we obtained odds ratio (OR) and confidence intervals (CI) for hospital and post-hospital outcomes using multivariate binomial logistic regression. Additionally, we calculated hazard ratios (HR) and CI for all-cause in-hospital mortality comparing the high and moderate FI-LAB group with the low group.

RESULTS

Patients were 1407 Veterans, mean age 72.7 (SD = 9.0), 67.8% Caucasian, 96.1% males, 47.0% (n = 661), 41.0% (n = 577), and 12.0% (n = 169) were in the low, moderate, and high FI-LAB groups, respectively. Moderate and high scores were associated with prolonged LOS, OR:1.62 (95% CI:1.29-2.03); and 3.36 (95% CI:2.27-4.99), ICU admission, OR:1.40 (95% CI:1.03-1.90); and OR:2.00 (95% CI:1.33-3.02), nursing home placement OR:2.36 (95% CI:1.26-4.44); and 5.99 (95% CI:2.83-12.70), 30-day readmissions OR:1.74 (95% CI:1.20-2.52); and 2.20 (95% CI:1.30-3.74), 30-day mortality OR: 2.51 (95% CI:1.01-6.23); and 8.97 (95% CI:3.42-23.53), 6-month mortality OR:3.00 (95% CI:1.90-4.74); and 6.16 (95% CI:3.55-10.71), and 1-year mortality OR: 2.66 (95% CI:1.87-3.79); and 4.76 (95% CI:3.00-7.54) respectively. The high FI-LAB group showed higher risk of in-hospital mortality, HR:18.17 (95% CI:4.01-80.52) with an area-under-the-curve of 0.843 (95% CI:0.75-0.93).

CONCLUSIONS

High and moderate FI-LAB scores were associated with worse in-hospital and post-hospital outcomes. The FI-LAB may identify hospitalized older patients with frailty at higher risk and assist clinicians in implementing strategies to improve outcomes.

Data acquisition process for VA and non-VA emergency department and hospital utilization by veterans with spinal cord injury and disorders in California using VA and state data

Context: To identify VA and non-VA Emergency Department (ED) and hospital utilization by veterans with spinal cord injury and disorders (SCI/D) in California.Design: Retrospective cohort study.Setting: VA and Office of Statewide Health Planning and Development (OSHPD) in California.Participants: Total 300 veterans admitted to the study VA SCI/D Center for initial rehabilitations from 01/01/1999 through 08/17/2014.Interventions: N/A.Outcome Measures: Individual-level ED visits and hospitalizations during the first-year post-rehabilitation.Results: Among 145 veterans for whom ED visit data available, 168 ED visits were identified: 94 (55.2%) at non-VA EDs and 74 (44.8%) at the VA ED, with a mean of 1.16 (±2.21) ED visit/person. Seventy-seven (53.1%) veterans did not visit any ED. Of 68 (46.9%) veterans with ≥ one ED visit, 20 (29.4%) visited the VA ED only, 34 (50.0%) visited non-VA EDs only, and 14 (20.6%) visited both VA and non-VA EDs. Among 212 Veterans for whom hospitalization data were available, 247 hospitalizations were identified: 82 (33.2%) non-VA hospitalizations and 165 (66.8%) VA hospitalization with a mean of 1.17 (±1.62) hospitalizations/person. One hundred-seven (50.5%) veterans had no hospitalizations. Of 105 veterans with ≥ one hospitalization, 58 (55.2%) were hospitalized at the study VA hospital, 15 (14.3%) at a non-VA hospital, and 32 (30.5%) at both VA and non-VA hospitals.Conclusion: Non-VA ED and hospital usage among veterans with SCI/D occurred frequently. The acquisition of non-VA healthcare data managed by state agencies is vital to accurately and comprehensively evaluate needs and utilization rates among veteran populations.

Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study

OBJECTIVE

To measure and compare mortality outcomes between dually eligible veterans transported by ambulance to a Veterans Affairs hospital and those transported to a non-Veterans Affairs hospital.

DESIGN

Retrospective cohort study using data from medical charts and administrative files.

SETTING

Emergency visits by ambulance to 140 Veteran Affairs and 2622 non-Veteran Affairs hospitals across 46 US states and the District of Columbia in 2001-18.

PARTICIPANTS

National cohort of 583 248 veterans (aged ≥65 years) enrolled in both the Veterans Health Administration and Medicare programs, who resided within 20 miles of at least one Veterans Affairs hospital and at least one non-Veterans Affairs hospital, in areas where ambulances regularly transported patients to both types of hospitals.

INTERVENTION

Emergency treatment at a Veterans Affairs hospital.

MAIN OUTCOME MEASURE

Deaths in the 30 day period after the ambulance ride. Linear probability models of mortality were used, with adjustment for patients' demographic characteristics, residential zip codes, comorbid conditions, and other variables.

RESULTS

Of 1 470 157 ambulance rides, 231 611 (15.8%) went to Veterans Affairs hospitals and 1 238 546 (84.2%) went to non-Veterans Affairs hospitals. The adjusted mortality rate at 30 days was 20.1% lower among patients taken to Veterans Affairs hospitals than among patients taken to non-Veterans Affairs hospitals (9.32 deaths per 100 patients (95% confidence interval 9.15 to 9.50) v 11.67 (11.58 to 11.76)). The mortality advantage associated with Veterans Affairs hospitals was particularly large for patients who were black (-25.8%), were Hispanic (-22.7%), and had received care at the same hospital in the previous year.

CONCLUSIONS

These findings indicate that within a month of being treated with emergency care at Veterans Affairs hospitals, dually eligible veterans had substantially lower risk of death than those treated at non-Veterans Affairs hospitals. The nature of this mortality advantage warrants further investigation, as does its generalizability to other types of patients and care. Nonetheless, the finding is relevant to assessments of the merit of policies that encourage private healthcare alternatives for veterans.

Transitions of Care Among Patients Undergoing Percutaneous Coronary Intervention for Stable Angina: Insights From the Veterans Affairs Clinical Assessment Reporting and Tracking Program

Background

Effective transitions from the procedural to outpatient setting are essential to ensure high‐quality cardiovascular care across health care systems, particularly among patients undergoing invasive cardiac procedures. We evaluated the association of postprocedural follow‐up visits and antiplatelet prescriptions with clinical outcomes among patients undergoing percutaneous coronary intervention for stable angina at community or Veterans Affairs (VA) hospitals.

Methods and Results

Patients who actively received care within the VA Healthcare System and underwent percutaneous coronary intervention for stable angina at a community or VA hospital between October 1, 2015, and September 30, 2019, were identified. We compared mortality for patients receiving community or VA care, and among subgroups of community‐treated patients by the presence of a postprocedural follow‐up visit within 30 days or prescription for antiplatelet (P2Y12) medication within 120 days of the procedure. Among 12 837 patients who survived the first 30 days, 5133 were treated at community hospitals, and 7704 were treated in the VA. Prescriptions for antiplatelet therapy were less common for those treated in the community (85%) compared with the VA at 1 year (95%; hazard ratio [HR], 0.46; 95% CI, 0.44–47). Compared with VA‐treated patients, the hazards for death were similar for patients treated in the community with a follow‐up visit (HR, 1.17; 95% CI, 0.97–1.40) or with a fill for an antiplatelet therapy (HR, 1.08; 95% CI, 0.90–1.30). However, patients treated in the community without a follow‐up visit had an 86% (HR, 1.86; 95% CI, 1.40–2.48) increased hazard of death, and those without antiplatelet prescription fill had a 144% increased hazard of death (HR, 2.44; 95% CI, 1.85–3.21) compared with all VA‐treated patients.

Conclusions

Patients treated at community facilities have a decreased chance of receiving antiplatelet prescriptions after percutaneous coronary intervention with a concordant increased hazard of mortality, emphasizing the importance of transitions of care across health care systems when assessing cardiovascular quality.

Healthcare providers experiences with shared medical appointments for heart failure

Shared medical appointments (SMAs) offer a means for providing knowledge and skills needed for chronic disease management to patients. However, SMAs require a time and attention investment from health care providers, who must understand the goals and potential benefits of SMAs from the perspective of patients and providers. To better understand how to gain provider engagement and inform future SMA implementation, qualitative inquiry of provider experience based on a knowledge-attitude-practice model was explored. Semi-structured interviews were conducted with 24 health care providers leading SMAs for heart failure at three Veterans Administration Medical Centers. Rapid matrix analysis process techniques including team-based qualitative inquiry followed by stakeholder validation was employed. The interview guide followed a knowledge-attitude-practice model with a priori domains of knowledge of SMA structure and content (understanding of how SMAs were structured), SMA attitude/beliefs (general expectations about SMA use), attitudes regarding how leading SMAs affected patients, and providers. Data regarding the patient referral process (organizational processes for referring patients to SMAs) and suggested improvements were collected to further inform the development of SMA implementation best practices. Providers from all three sites reported similar knowledge, attitude and beliefs of SMAs. In general, providers reported that the multi-disciplinary structure of SMAs was an effective strategy towards improving clinical outcomes for patients. Emergent themes regarding experiences with SMAs included improved self-efficacy gained from real-time collaboration with providers from multiple disciplines, perceived decrease in patient re-hospitalizations, and promotion of self-management skills for patients with HF. Most providers reported that the SMA-setting facilitated patient learning by providing opportunities for the sharing of experiences and knowledge. This was associated with the perception of increased comradery and support among patients. Future research is needed to test suggested improvements and to develop best practices for training additional sites to implement HF SMA.

Focusing on the Medically Ready for Discharge Patient Using a Reliable Design Strategy: A Quality Improvement Project to Improve Length of Stay on a Medicine Service

BACKGROUND AND OBJECTIVES

Length of stay is a common measure of efficiency of care. We aimed to reduce length of stay on a general medicine service through a structured quality improvement project.

METHODS

A reliable design strategy was implemented in successive stages at a 238-bed academically-affiliated VA hospital. Over a 2-year period, continuous improvement efforts were directed at discrete cohorts of patients deemed medically appropriate for discharge but who remained hospitalized because of discharge barriers. We compared the mean length of stay and medically-ready bed days of care for a hospital in statistical control charts. Pre- and post-intervention comparisons were made using t -tests.

RESULTS

In total, 5321 discharges were included in this improvement project, accounting for 35 852 bed days of care. Overall, average length of stay was reduced by 15.7%, from 7.62 to 6.40 days ( P < .05). There was a significant reduction in the mean number of medically-ready bed days of care from 2.3 to 1.72. Statistical process control charts demonstrated special cause variation across patient cohorts.

CONCLUSION

A quality improvement project using reliable design principles was associated with shorter length of stay.

Factors affecting hospital readmission rates following an acute coronary syndrome: A systematic review

Aim

To synthesise quantitative evidence on factors that impact hospital readmission rates following ACS with comorbidities.

Design

Systematic review and narrative synthesis.

Data sources

A search of eight electronic databases, including Embase, Medline, PsycINFO, Web of Science, CINAHL, Cochrane Library, Scopus and the Joanna Briggs Institute (JBI).

Review methods

The search strategy included keywords and MeSH terms to identify English language studies published between 2001 and 2020. The quality of included studies was assessed by two independent reviewers, using Joanna Briggs Institute (JBI) critical appraisal tools.

Results

Twenty‐four articles were included in the review. All cause 30‐day readmission rate was most frequently reported and ranged from 4.2% to 81%. Reported factors that were associated with readmission varied across studies from socio‐demographic, behavioural factors, comorbidity factors and cardiac factors. Findings from some of the studies were limited by data source, study designs and small sample size.

Conclusion

Strategies that integrate comprehensive discharge planning and individualised care planning to enhance behavioural support are related to a reduction in readmission rates. It is recommended that nurses are supported to influence discharge planning and lead the development of nurse‐led interventions to ensure discharge planning is both coordinated and person‐centred.

Comparing Post-Acute Populations and Care in Veterans Affairs and Community Nursing Homes

OBJECTIVE

The quality of care provided by the US Department of Veterans Affairs (VA) is increasingly being compared to community providers. The objective of this study was to compare the VA Community Living Centers (CLCs) to nursing homes in the community (NHs) in terms of characteristics of their post-acute populations and performance on 3 claims-based ("short-stay") quality measures.

DESIGN

Observational, cross-sectional.

SETTING AND PARTICIPANTS

CLC and NH residents admitted from hospitals during July 2015-June 2016.

METHODS

CLC residents were compared with 3 NH populations: males, Veterans, and all NH residents. CLC and NH performance was compared on risk-adjusted claims-based measures: unplanned rehospitalizations and emergency department visits within 30 days of CLC or NH admission and successful discharge to the community within 100 days of NH admission.

RESULTS

Veterans admitted from hospitals to CLCs (n = 23,839 Veterans/135 CLCs) were less physically impaired, less likely to have anxiety, congestive heart failure, hypertension, and dementia than Veterans (n = 241,177/14,818 NHs), males (n = 661,872/15,280 NHs), and all residents (n = 1,674,578/15,395 NHs) admitted to NHs from hospitals. Emergency department and successful discharge risk-adjusted rates of CLCs were statistically significantly better than those of NHs [mean (standard deviation): 8.3% (4.6%) and 67.7% (11.5%) in CLCs vs 11.9% (5.3%) and 57.0% (10.5%) in NHs, respectively]. CLCs had slightly worse rehospitalization rates [22.5% (6.2%) in CLCs vs 21.1% (5.9%) in NHs], but lower combined emergency department and rehospitalization rates [30.8% (0.8%) in CLCs vs 33.0% (0.7%) in NHs].

CONCLUSIONS AND IMPLICATIONS

CLCs and NHs serve different post-acute care populations. Using the same risk-adjusted NH quality metrics, CLCs provided better post-acute care than community NHs.

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods

Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized for target conditions. We investigated whether machine learning methods can supplement researchers' knowledge of target conditions in building CBAs. Retrospective cohort study using a claims database combined with annual health check-up results of employees' health insurance programs for fiscal year 2016-17 in Japan (study population for hypertension, N = 631,289; diabetes, N = 152,368; dyslipidemia, N = 614,434). We constructed CBAs with logistic regression, k-nearest neighbor, support vector machine, penalized logistic regression, tree-based model, and neural network for identifying patients with three common chronic conditions: hypertension, diabetes, and dyslipidemia. We then compared their association measures using a completely hold-out test set (25% of the study population). Among the test cohorts of 157,822, 38,092, and 153,608 enrollees for hypertension, diabetes, and dyslipidemia, 25.4%, 8.4%, and 38.7% of them had a diagnosis of the corresponding condition. The areas under the receiver operating characteristic curve (AUCs) of the logistic regression with/without subject-matter knowledge about the target condition were .923/.921 for hypertension, .957/.938 for diabetes, and .739/.747 for dyslipidemia. The logistic lasso, logistic elastic-net, and tree-based methods yielded AUCs comparable to those of the logistic regression with subject-matter knowledge: .923-.931 for hypertension; .958-.966 for diabetes; .747-.773 for dyslipidemia. We found that machine learning methods can attain AUCs comparable to the conventional knowledge-based method in building CBAs.

Adherence to the Use of Home Telehealth Technologies and Emergency Room Visits in Veterans with Heart Failure

Background: Prior studies have posited poor patient adherence to remote patient monitoring as the reason for observed lack of benefits. Introduction: The purpose of this study was to examine the relationship between average adherence to the daily use of home telehealth (HT) and emergency room (ER) visits in Veterans with heart failure. Materials and Methods: This was a retrospective study using administrative data of Veterans with heart failure enrolled in Veterans Affairs (VA) HT Program in the first half of 2014. Zero-inflated negative binomial regression was used to determine which predictors affect the probability of having an ER visit and the number of ER visits. Results: The final sample size was 3,449 with most being white and male. There were fewer ER visits after HT enrollment (mean ± standard deviation of 1.85 ± 2.8) compared with the year before (2.2 ± 3.4). Patient adherence was not significantly associated with ER visits. Age and being from a racial minority group (not white or black) and belonging to a large HT program were associated with having an ER visit. Being in poorer health was associated with higher expected count of ER visits. Discussion: Subgroups of patients (e.g., with depression, sicker, or from a racial minority group) may benefit from added interventions to decrease ER use. Conclusions: This study found that adherence was not associated with ER visits. Reasons other than adherence should be considered when looking at ER use in patients with heart failure enrolled in remote patient monitoring programs.

Financial burden, distress, and toxicity in cardiovascular disease

Cardiovascular disease (CVD) is a major source of financial burden and distress, which has 3 main domains: (1) psychological distress; (2) cost-related care non-adherence or medical care deferral, and (3) tradeoffs with basic non-medical needs. We propose 4 ways to reduce financial distress in CVD: (1) policymakers can expand insurance coverage and curtail underinsurance; (2) health systems can limit expenditure on low-benefit, high-cost treatments while developing services for high-risk individuals; (3) physicians can engage in shared-decision-making for high-cost interventions, and (4) community-based initiatives can support patients with system navigation and financial coping. Avenues for research include (1) analysis of how healthcare policies affect financial burden; (2) comparative effectiveness studies examining high and low-cost strategies for CVD management; and (3) studying interventions to reduce financial burden, financial coaching, and community health worker integration.

Evaluation of a Clinical Pharmacist Specialist Transition of Care Pathway to Manage Heart Failure Readmissions During a Provider Shortage

BACKGROUND

Evidence supports scheduling early follow-up after heart failure (HF) hospitalization with a provider capable of managing hypervolemia. Often this service is provided by cardiologists or specialty nurse practitioners. Continuity or "familiar" providers may be better positioned to identify decompensating HF in patients who have advanced HF and/or multiple complicating medical problems. The objective of this study was to evaluate whether a clinical pharmacy specialist (CPS) service, covering the role of a "familiar" provider in an advanced HF specialty clinic (AHFC) during a staffing shortage, may prevent readmission metrics from worsening.

METHODS

We evaluated the entire, eligible concurrent cohorts, representing 175 AHFC-CPS and 273 control patient-admissions, respectively. Study- and disease-specific predictors for readmission were assessed. A matched cohort of 202 patient-admissions (101 AHFC-CPS:101 NO-CPS) were evaluated.

RESULTS

Subjects were predominantly white, elderly males. While overall "clinic [performance] profiling" outcomes for readmissions (p = 0.43) and mortality (p = 0.66) did not statistically differ between the AHFC-CPS and NO-CPS groups, an imbalance in severity of illness persisted. A survival curve and analysis were constructed, and the hazard ratio for all-cause mortality was 0.69 (p = 0.033).

CONCLUSIONS

This retrospective project supports the premise that AHFC-CPS intervention may be a suitable alternative to maintain the volume status for AHFC patients during a staffing short-fall. More work needs to be done to determine intervention effect size, predictors for readmission, specifically in advanced cardiovascular disease, and to evaluate CPS opportunities in the provision of independent HF care, particularly for patients with advanced HF.

Development and validation of the Tool for Pharmacists to Predict 30-day hospital readmission in patients with Heart Failure (ToPP-HF)

PURPOSE

Pharmacists are well positioned to provide transitions of care (TOC) services to patients with heart failure (HF); however, hospitalizations for patients with HF likely exceed the capacity of a TOC pharmacist. We developed and validated a tool to help pharmacists efficiently identify high-risk patients with HF and maximize their potential impact by intervening on patients at the highest risk for 30-day all-cause readmission.

METHODS

We conducted a retrospective cohort study including adults with HF admitted to a health system between October 1, 2016, and October 31, 2019. We randomly divided the cohort into development (n = 2,114) and validation (n = 1,089) subcohorts. Nine models were applied to select the most important predictors of 30-day readmission. The final tool, called the Tool for Pharmacists to Predict 30-day hospital readmission in patients with Heart Failure (ToPP-HF) relied upon multivariable logistic regression. We assessed discriminative ability using the C statistic and calibration using the Hosmer-Lemeshow goodness-of-fit test.

RESULTS

The risk of 30-day all-cause readmission was 15.7% (n = 331) and 18.8% (n = 205) in the development and validation subcohorts, respectively. The ToPP-HF tool included 13 variables: number of hospital admissions in previous 6 months; admission diagnosis of HF; number of scheduled medications; chronic obstructive pulmonary disease diagnosis; number of comorbidities; estimated glomerular filtration rate; hospital length of stay; left ventricular ejection fraction; critical care requirement; renin-angiotensin-aldosterone system inhibitor use; antiarrhythmic use; hypokalemia; and serum sodium. Discriminatory performance (C statistic of 0.69; 95% confidence interval [CI], 0.65-0.73) and calibration (Hosmer-Lemeshow P = 0.28) were good.

CONCLUSIONS

The ToPP-HF performs well and can help pharmacists identify high-risk patients with HF most likely to benefit from TOC services.

Facility-Level Excess Mortality of VHA Patients With Mental Health or Substance Use Disorder Diagnoses

OBJECTIVE

Individuals with mental or substance use disorders have higher mortality rates than people in the general population. How excess mortality varies across health care facilities is unknown. The authors sought to investigate facility-level mortality rates among Veterans Health Administration (VHA) patients who had received diagnoses of mental or substance use disorders.

METHODS

An electronic medical records-based retrospective cohort study was conducted, encompassing 8,812,373 unique users of 139 VHA facilities from 2011 to 2016. Covariates included age, sex, and past-year diagnoses of serious mental illness, posttraumatic stress disorder, major depressive disorder, other mental health conditions, or substance use disorders. The outcome was all-cause mortality per comprehensive Veterans Affairs/Department of Defense searches of the National Death Index. Proportional hazards regression was used to calculate overall and facility-specific hazard ratios (HRs) for each diagnosis group, adjusted for age, sex, and comorbid medical conditions.

RESULTS

Overall, all-cause mortality was statistically significantly elevated among VHA users with mental health diagnoses (HR=1.21, 95% confidence interval=1.20-1.22). HRs varied across facilities consistently over time. At the VHA facility level, diagnostic groups were significantly correlated with the degree of excess mortality. Results were similar in sensitivity analyses that excluded deaths from suicide or drug or alcohol overdose.

CONCLUSIONS

VHA users with mental or substance use disorder diagnoses had elevated mortality rates. Correlation in excess mortality across two periods indicated that facility differences in excess mortality were persistent and therefore potentially associated with facility- and community-level factors, which may help inform quality improvement efforts to reduce mortality rates.

Source of Post-Transplant Care and Mortality among Kidney Transplant Recipients Dually Enrolled in VA and Medicare

BACKGROUND AND OBJECTIVES

Many kidney transplant recipients enrolled in the Veterans Health Administration are also enrolled in Medicare and eligible to receive both Veterans Health Administration and private sector care. Where these patients receive transplant care and its association with mortality are unknown.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We conducted a retrospective cohort study of veterans who underwent kidney transplantation between 2008 and 2016 and were dually enrolled in Veterans Health Administration and Medicare at the time of surgery. We categorized patients on the basis of the source of transplant-related care (i.e., outpatient transplant visits, immunosuppressive medication prescriptions, calcineurin inhibitor measurements) delivered during the first year after transplantation defined as Veterans Health Administration only, Medicare only (i.e., outside Veterans Health Administration using Medicare), or dual care (mixed use of Veterans Health Administration and Medicare). Using multivariable Cox regression, we examined the independent association of post-transplant care source with mortality at 5 years after kidney transplantation.

RESULTS

Among 6206 dually enrolled veterans, 975 (16%) underwent transplantation at a Veterans Health Administration hospital and 5231 (84%) at a non-Veterans Health Administration hospital using Medicare. Post-transplant care was received by 752 patients (12%) through Veterans Health Administration only, 2092 (34%) through Medicare only, and 3362 (54%) through dual care. Compared with patients who were Veterans Health Administration only, 5-year mortality was significantly higher among patients who were Medicare only (adjusted hazard ratio, 2.2; 95% confidence interval, 1.5 to 3.1) and patients who were dual care (adjusted hazard ratio, 1.5; 95% confidence interval, 1.1 to 2.1).

CONCLUSIONS

Most dually enrolled veterans underwent transplantation at a non-Veterans Health Administration transplant center using Medicare, yet many relied on Veterans Health Administration for some or all of their post-transplant care. Veterans who received Veterans Health Administration-only post-transplant care had the lowest 5-year mortality.

Strategies to Increase Pneumococcal Vaccination in Veterans: An Integrative Review

The current integrative review aimed to explore the extent to which pneumococcal pneumonia impacts the Veteran population and strategies to increase pneumococcal vaccination in this population. The search strategy began with three electronic databases (CINAHL, PubMed, and Embase). After analysis of 50 studies, considering inclusion and exclusion criteria, nine studies were selected for final analysis. Three primary themes emerged from the literature: (a) decreased 1-year morbidity and mortality in Veterans with comorbid conditions who received pneumococcal vaccination, (b) significant barriers in outpatient vaccination processes, and (c) the spectrum of pneumococcal disease in Veterans. In general, themes from this review could be useful for stimulating quality improvement initiatives to increase pneumococcal vaccination in Veterans. However, little is known about barriers to Veterans receiving outpatient pneumococcal vaccination. Future research should be directed toward staff education of consensus guidelines. [Journal of Gerontological Nursing, 46(11), 13-16.].

Focusing Heart Failure Research on Myocardial Fibrosis to Prioritize Translation

Heart failure (HF) has traditionally been defined by symptoms of fluid accumulation and poor perfusion, but it is now recognized that specific HF classifications hold prognostic and therapeutic relevance. Specifically, HF with reduced ejection fraction is characterized by reduced left ventricular systolic pump function and dilation and HF with preserved ejection fraction is characterized primarily by abnormal left ventricular filling (diastolic failure) with relatively preserved left ventricular systolic function. These forms of HF are distributed equally among patients with HF and likely require distinctly different strategies to mitigate the morbidity, mortality, and medical resource utilization of this disease. In particular, HF is a significant medical issue within the US Department of Veterans Affairs (VA) hospital system and constitutes a major translational research priority for the VA. Because a common underpinning of both HF with reduced ejection fraction and HF with preserved ejection fraction seems to be changes in the structure and function of the myocardial extracellular matrix, a conference was convened sponsored by the VA, entitled, "Targeting Myocardial Fibrosis in Heart Failure" to explore the extracellular matrix as a potential therapeutic target and to propose specific research directions. The conference was conceptually framed around the hypothesis that although HF with reduced ejection fraction and HF with preserved ejection fraction clearly have distinct mechanisms, they may share modifiable pathways and biological mediators in common. Inflammation and extracellular matrix were identified as major converging themes. A summary of our discussion on unmet challenges and possible solutions to move the field forward, as well as recommendations for future research opportunities, are provided.

An Evaluation of Statin Use Among Patients with Type 2 Diabetes at High Risk of Cardiovascular Events Across Multiple Health Care Systems

BACKGROUND

Patients with more than one chronic condition often receive care from several providers and facilities, which may lead to fragmentation of care. Poor care coordination in dual health care system use has been associated with increased emergency department visits, hospitalizations, and costs.

OBJECTIVE

Dual health care system use is increasing among veterans, and we sought to evaluate the effect of dual health care system use on statin treatment in veterans with type 2 diabetes at high risk of cardiovascular events, using varying degrees of Centers for Medicare & Medicaid Services (CMS) services.

METHODS

This was a 10-year retrospective longitudinal cohort study of national clinical and administrative data that included 689,138 veterans with type 2 diabetes who were aged 65 years or older on January 1, 2006. Patients were followed from January 1, 2007, until December 31, 2016. Administrative and clinical data from the Veterans Health Administration's (VHA) Corporate Data Warehouse were merged with CMS inpatient, outpatient, and pharmacy data. Statin use was defined as any therapy and subcategorized as high versus low or moderate intensity per the American College of Cardiology/American Heart Association guidelines. Marginal generalized estimating equation-type models for longitudinal data were used to model the association between dual health care utilization status (< 50%, 50%-80%, and > 80% VHA utilization, with the first group serving as the reference group) and statin use after adjusting for measured covariates.

RESULTS

The mean ages at baseline for each group were similar and ranged between 75.4 and 76.9 years. For the outcome of any statin use, the group with < 50% VHA utilization was significantly less likely to receive statin therapy compared with the group with > 80% VHA utilization (OR = 0.26, 95% CI = 0.26-0.26), while the group with 50%-80% VHA utilization was slightly more likely (OR = 1.05, 95% CI = 1.04-1.07). Similarly, for the high-intensity versus low-/moderate-intensity or no statins outcome, the group with < 50% VHA utilization was significantly less likely to receive a high-intensity statin compared with the group with > 80% VHA utilization (OR = 0.56, 95% CI = 0.55-0.57), while the group with 50%-80% VHA utilization was only slightly less likely (OR = 0.95, 95% CI =0.94-0.96).

CONCLUSIONS

Among veterans with diabetes at high risk of cardiovascular events, dual health care system utilization status appeared to affect statin use. We observed lower odds for any statin use and high-intensity statin therapy among the cohort with the lowest degree of VHA utilization (i.e., < 50%). Interventions to increase statin use among veterans at high risk of cardiovascular events with lower degrees of VHA utilization should be explored.

DISCLOSURES

This study was supported by a grant funded by the Department of Veterans Affairs' Health Services Research and Development Service and was undertaken at the Health Equity and Rural Outreach Center (HEROIC) at Ralph H. Johnson Veteran Affairs Medical Center, Charleston, SC. The authors report no potential conflicts of interest relevant to this article. This article represents the views of the authors and not those of the Medical University of South Carolina or Veteran Health Administration.

Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis

Adult patients with diabetes mellitus (DM) represent one-fifth of all 30-day unplanned hospital readmissions but some may be preventable through continuity of care with better DM self-management. We aim to synthesize evidence concerning the association between 30-day unplanned hospital readmission and patient-related factors, insurance status, treatment and comorbidities in adult patients with DM. We searched full-text English language articles in three electronic databases (MEDLINE, Embase and CINAHL) without confining to a particular publication period or geographical area. Prospective and retrospective cohort and case-control studies which identified significant risk factors of 30-day unplanned hospital readmission were included, while interventional studies were excluded. The study participants were aged ≥18 years with either type 1 or 2 DM. The random effects model was used to quantify the overall effect of each factor. Twenty-three studies published between 1998 and 2018 met the selection criteria and 18 provided information for the meta-analysis. The data were collected within a period ranging from 1 to 15 years. Although patient-related factors such as age, gender and race were identified, comorbidities such as heart failure (OR=1.81, 95% CI 1.67 to 1.96) and renal disease (OR=1.69, 95% CI 1.34 to 2.12), as well as insulin therapy (OR=1.45, 95% CI 1.24 to 1.71) and insurance status (OR=1.41, 95% CI 1.22 to 1.63) were stronger predictors of 30-day unplanned hospital readmission. The findings may be used to target DM self-management education at vulnerable groups based on comorbidities, insurance type, and insulin therapy.

Effects of State-level Medicaid Expansion on Veterans Health Administration Dual Enrollment and Utilization: Potential Implications for Future Coverage Expansions

OBJECTIVE

The objective of this study was to examine how pre-Affordable Care Act (ACA) state-level Medicaid expansions affect dual enrollment and utilization of Veterans Health Administration (VA) and Medicaid-funded care.

RESEARCH DESIGN

We employed difference-in-difference analysis to determine the association between pre-ACA Medicaid expansions in New York and Arizona in 2001 and VA utilization. Participants' dual enrollment in Medicaid and VA, the distribution of their annual hospital admissions and emergency department (ED) visits between VA and Medicaid were dependent variables. We controlled for age, race, sex, disease burden, distance to VA facilities and income-based eligibility for VA services.

MEASURES

Secondary data collected from 1999 to 2006 in 2 states expanding Medicaid and 3 demographically similar nonexpansion states. We obtained residency, enrollment and utilization data from VA's Corporate Data Warehouse and Medicaid Analytic Extract files.

RESULTS

For low-income Veterans, Medicaid expansion was associated with increased dual enrollment of 4.87 percentage points (99% confidence interval: 4.48-5.25), a 4.63-point decline in VA proportion of admissions (-5.87 to -3.38), and a 11.70-point decrease in the VA proportion of ED visits (-13.06 to -10.34). Results also showed increases in the number of total (VA plus Medicaid) annual per-capita hospitalizations and ED visits among the group of VA enrollees most likely to be eligible for expansion.

CONCLUSIONS

This study shows slight usage shifts when Veterans gain access to non-VA care. It highlights the need to overcome care-coordination challenges among VA patients as states implement ACA Medicaid expansion and policymakers consider additional expansions of public health insurance programs such as Medicare-for-All.

A Comparison of Surgical Quality and Patient Satisfaction Indicators Between VA Hospitals and Hospitals Near VA Hospitals

BACKGROUND

The Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act established a community care program allowing veterans to receive care outside Veteran Affairs Medical Centers (VAMCs). We sought to compare patient safety and satisfaction indicators from VAMCs and surrounding non-VAMCs (non-VAs).

METHODS

We identified VAMCs with at least one non-VA acute care hospital within 25 miles in three geographic regions (West/Southwest, New England, and Deep South). Children's, specialty, and critical access hospitals were excluded. Using publicly available Hospital Compare data, we analyzed VAMC and surrounding non-VA performance in postsurgical patient safety indicator (PSI) events and Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores and hospital star ratings.

RESULTS

The 34 VAMCs performed better than 319 surrounding non-VAs in rates of wound dehiscence, accidental lacerations, and perioperative hemorrhage/hematoma as well as composite PSI rating (P < 0.05). VAMCs performed significantly better than non-VAs (18.0 versus 51.4 events per 1000 patients, P < 0.001) in composite surgery-specific PSIs. When comparing mean linear Hospital Consumer Assessment of Healthcare Providers and Systems score star ratings (1-5 scale), VAMCs had similar performance in overall hospital rating compared with non-VAs (3.28 versus 3.38, P = 0.48) and summary rating of hospital stays (2.87 versus 2.92, P = 0.69). When compiled patient satisfaction star ratings were compared, there was no difference (2.96 versus 2.97, P = 0.9). VAMCs performed worse than non-VAs in "would recommend" ratings (2.7 versus 3.13, P = 0.007).

CONCLUSIONS

Across disparate regions, VAMCs match or outperform neighboring non-VAs in surgical quality metrics and patient satisfaction ratings. Veterans receiving surgical care at VAMCs may receive equivalent or better care than at non-VAs.

Initiating Low-Value Inhaled Corticosteroids in an Inception Cohort with Chronic Obstructive Pulmonary Disease

Rationale: Decreasing medication overuse represents an opportunity to avoid harm and costs in the era of value-based purchasing. Studies of inhaled corticosteroids (ICS) overuse in chronic obstructive pulmonary disease (COPD) have examined prevalent use. Understanding initiation of low-value ICS among complex patients with COPD may help shape deadoption efforts.Objectives: Examine ICS initiation among a cohort with low exacerbation risk COPD and test for associations with markers of patient and health system complexity.Methods: Between 2012 and 2016, we identified veterans with COPD from 21 centers. Our primary outcome was first prescription of ICS. We used the care assessment needs (CAN) score to assess patient-level complexity as the primary exposure. We used a time-to-event model with time-varying exposures over 1-year follow-up. We tested for effect modification using selected measures of health system complexity.Results: We identified 8,497 patients with COPD without an indication for ICS and did not have baseline use (inception cohort). Follow-up time was four quarters. Patient complexity by a continuous CAN score was associated with new dispensing of ICS (hazard ratio = 1.17 per 10-unit change; 95% confidence interval = 1.13-1.21). This association demonstrated a dose-response when examining quartiles of CAN score. Markers of health system complexity did not modify the association between patient complexity and first use of low-value ICS.Conclusions: Patient complexity may represent a symptom burden that clinicians are attempting to mitigate by initiating ICS. Lack of effect modification by health system complexity may reflect the paucity of structural support and low prioritization for COPD care.

Does the Halo Effect for Level 1 Trauma Centers Apply to High-Acuity Nonsurgical Admissions?

CONTEXT

The halo effect describes the improved surgical outcomes at trauma centers for nontrauma conditions.

OBJECTIVE

To determine whether level 1 trauma centers have improved inpatient mortality for common but high-acuity nonsurgical diagnoses (eg, acute myocardial infarction [AMI], congestive heart failure [CHF], and pneumonia [PNA]) compared with non--level 1 trauma centers.

METHODS

The authors conducted a population-based, retrospective cohort study analyzing data from the Healthcare Cost and Utilization Project State Inpatient Database and the American Hospital Association Annual Survey Database. Patients who were admitted with AMI, CHF, and PNA between 2006-2011 in Florida and California were included. Level 1 trauma centers were matched to non-level 1 trauma centers using propensity scoring. The primary outcome was risk-adjusted inpatient mortality for each diagnosis (AMI, CHF, or PNA).

RESULTS

Of the 190,474 patients who were hospitalized for AMI, CHF, or PNA, 94,037 patients (49%) underwent treatment at level 1 trauma centers. The inpatient mortality rates at level 1 trauma centers vs non-level 1 trauma centers for patients with AMI was 8.10% vs 8.40%, respectively (P=.73); for patients with CHF, 2.26% vs 2.71% (P=.90); and for patients with PNA, 2.30% vs 2.70% (P=.25).

CONCLUSION

Level 1 trauma center designation was not associated with improved mortality for high-acuity, nonsurgical medical conditions in this study.

Variability in Transitional Care Outcomes Across Hospitals Discharging Veterans to Skilled Nursing Facilities

BACKGROUND

The period after transition from hospital to skilled nursing facility (SNF) is high-risk, but variability in outcomes related to transitions across hospitals is not well-known.

OBJECTIVES

Evaluate variability in transitional care outcomes across Veterans Health Administration (VHA) and non-VHA hospitals for Veterans, and identify characteristics of high-performing and low-performing hospitals.

RESEARCH DESIGN

Retrospective observational study using the 2012-2014 Residential History File, which concatenates VHA, Medicare, and Medicaid data into longitudinal episodes of care for Veterans.

SUBJECTS

Veterans aged 65 or older who were acutely hospitalized in a VHA or non-VHA hospital and discharged to SNF; 1 transition was randomly selected per patient.

MEASURES

Adverse "transitional care" outcomes were a composite of hospital readmission, emergency department visit, or mortality within 7 days of hospital discharge.

RESULTS

Among the 365,942 Veteran transitions from hospital to SNF across 1310 hospitals, the composite outcome rate ranged from 3.3% to 23.2%. In multivariable analysis adjusting for patient characteristics, hospital discharge diagnosis and SNF category, no single hospital characteristic was significantly associated with the 7-day adverse outcomes in either VHA or non-VHA hospitals. Very few high or low-performing hospitals remained in this category across all 3 years. The increased odds of having a 7-day event due to being treated in a low versus high-performing hospital was similar to the odds carried by having an intensive care unit stay during the index admission.

CONCLUSIONS

While variability in hospital outcomes is significant, unmeasured care processes may play a larger role than currently measured hospital characteristics in explaining outcomes.

Association of Cardiac Rehabilitation With Survival Among US Veterans

IMPORTANCE

Participation in cardiac rehabilitation (CR) programs at Veterans Affairs (VA) facilities is low. Most veterans receive CR through purchased care at non-VA programs. However, limited literature exists on the comparison of outcomes between VA and non-VA CR programs.

OBJECTIVE

To compare 1-year mortality and 1-year readmission rates for myocardial infarction or coronary revascularization between VA vs non-VA CR participants.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study included 7320 patients hospitalized for myocardial infarction or coronary revascularization at the VA between 2010 and 2014 who did not die within 30 days of discharge and who participated in 2 or more CR sessions after discharge. The study excluded individuals hospitalized for ischemic heart disease after December 2014 when the VA Choice Act changed referral criteria for non-VA care. Data analysis was performed from November 2019 to January 2020.

EXPOSURES

Participation in 2 or more CR sessions within 12 months of discharge at a VA or non-VA facility.

MAIN OUTCOMES AND MEASURES

The 1-year all-cause mortality and 1-year readmission rates for myocardial infarction or coronary revascularization from date of discharge were compared between VA vs non-VA CR participants using Cox proportional hazards models with inverse probability treatment weighting.

RESULTS

The 7320 veterans with ischemic heart disease who participated in CR programs had a mean (SD) age of 65.13 (8.17) years and were predominantly white (6005 patients [82.0%]), non-Hispanic (6642 patients [91.0%]), and male (7191 patients [98.2%]). Among these 7320 veterans, 2921 (39.9%) attended a VA facility, and 4399 (60.1%) attended a non-VA CR facility. Black and Hispanic veterans were more likely to attend CR programs at VA facilities (509 patients [17.4%] and 378 patients [12.9%], respectively), whereas white veterans were more likely to attend CR programs at non-VA facilities (3759 patients [85.5%]). After inverse probability treatment weighting, rates of 1-year mortality were 1.7% among VA CR participants vs 1.3% among non-VA CR participants (hazard ratio, 1.32; 95% CI, 0.90-1.94; P = .15). Rates of readmission for myocardial infarction or revascularization during the 12 months after discharge were 4.9% among VA CR participants vs 4.4% among non-VA CR participants (hazard ratio, 1.06; 95% CI, 0.83-1.35; P = .62).

CONCLUSIONS AND RELEVANCE

These findings suggest that rates of 1-year mortality and 1-year readmission for myocardial infarction or revascularization did not differ for participants in VA vs non-VA cardiac rehabilitation programs. Eligible patients with ischemic heart disease should participate in CR programs regardless of where they are provided.

Heart Failure Dashboard Design and Validation to Improve Care of Veterans

BACKGROUND

Early electronic identification of patients at the highest risk for heart failure (HF) readmission presents a challenge. Data needed to identify HF patients are in a variety of areas in the electronic medical record (EMR) and in different formats.

OBJECTIVE

The purpose of this paper is to describe the development and data validation of a HF dashboard that monitors the overall metrics of outcomes and treatments of the veteran patient population with HF and enhancing the use of guideline-directed pharmacologic therapies.

METHODS

We constructed a dashboard that included several data points: care assessment need score; ejection fraction (EF); medication concordance; laboratory tests; history of HF; and specified comorbidities based on International Classification of Disease (ICD), ninth and tenth codes. Data validation testing with user test scripts was utilized to ensure output accuracy of the dashboard. Nine providers and key senior management participated in data validation.

RESULTS

A total of 43 medical records were reviewed and 66 HF dashboard data discrepancies were identified during development. Discrepancies identified included: generation of multiple EF values on a few patients, missing or incorrect ICD codes, laboratory omission, incorrect medication issue dates, patients incorrectly noted as nonconcordant for medications, and incorrect dates of last cardiology appointments. Continuous integration and builds identified defects-an important process of the verification and validation of biomedical software. Data validation and technical limitations are some challenges that were encountered during dashboard development. Evaluations by testers and their focused feedback contributed to the lessons learned from the challenges.

CONCLUSION

Continuous refinement with input from multiple levels of stakeholders is crucial to development of clinically useful dashboards. Extraction of all relevant information from EMRs, including the use of natural language processing, is crucial to development of dashboards that will help improve care of individual patients and populations.

Role of Comorbidities in Treatment and Outcomes after Chronic Obstructive Pulmonary Disease Exacerbations

RATIONALE

Hospital readmissions are an important cause of morbidity and mortality among patients with chronic obstructive pulmonary disease (COPD). Although comorbidities are associated with outcomes in COPD, it is unknown how they affect treatment choices.

OBJECTIVES

We sought to examine whether comorbidity was associated with readmission, mortality, and delivery of in-hospital treatment for COPD exacerbations.

METHODS

We performed a cohort study of veterans hospitalized with a COPD exacerbation to six Veterans Affairs hospitals between 2005 and 2011. We collected comorbidities in the year before hospitalization. We defined our primary outcome as readmission and/or mortality within 30 days of discharge, and treatment quality as receipt of systemic corticosteroids and respiratory antibiotics during the index hospitalization.

RESULTS

A total of 2,391 patients were included. Each one-point increase in Charlson index was associated with greater odds of readmission or death (adjusted odds ratio [aOR], 1.24; 95% confidence interval [CI], 1.18-1.30) and reduced odds of receiving treatment with steroids and antibiotics (aOR, 0.90; 95% CI, 0.85-0.95), in adjusted analyses. Patients with comorbid congestive heart failure (aOR, 0.64; 95% CI, 0.52-0.79), coronary artery disease (aOR, 0.73; 95% CI, 0.60-0.89), and chronic kidney disease (aOR, 0.74; 95% CI, 0.55-0.99) were less likely to receive corticosteroids and antibiotic treatment than patients without those comorbidities. We did not identify any comorbidity that was associated with increased odds of receiving appropriate therapies.

CONCLUSIONS

Comorbidity was associated with 30-day readmission and mortality, and with delivery of fewer treatments known to be beneficial among patients with COPD exacerbation.

A National Survey of Veterans Affairs Medical Centers' Cardiology Services

A survey found that of cardiology services were widely available at facilities across the US Department of Veterans Affairs, but the types of services varied considerably based on facility complexity.

Validity of Performance and Outcome Measures for Heart Failure

Background Numerous quality metrics for heart failure (HF) care now exist based on process and outcome. What remains unclear, however, is if the correct quality metrics are being emphasized. To determine the validity of certain measures, we compared correlations between measures and reliability over time. Measures assessed include guideline-recommended β-blocker (BB), any BB, angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker, mineralocorticoid receptor antagonist, and hydralazine/isosorbide dinitrate (in blacks) use among candidates, 30-day mortality, 1-year mortality, and 30-day readmission. Methods and Results This was an observational cohort analysis using chart review and electronic resources for 55 735 patients from 102 Veterans Affairs medical centers hospitalized with HF from 2008 to 2013. Assessments of convergent validity and reliability were performed. Significant correlations were found between in-hospital rates of ACE inhibitor use and the following measures: BB use, 30-day mortality, and 1-year mortality. Guideline-recommended BB use was also significantly correlated with mineralocorticoid receptor antagonists, 30-day mortality, and 1-year mortality. There was no correlation between 30-day readmission rates and any therapy or mortality. Measure reliability over time was seen for guideline-recommended BBs ( r=0.57), mineralocorticoid receptor antagonists ( r=0.50), 30-day mortality ( r=0.29), and 1-year mortality ( r=0.31). ACE inhibitor and readmission rates were not reliable measures over time. Conclusions BB use, ACE inhibitor use, mortality, and mineralocorticoid receptor antagonist use are valid measures of HF quality. Thirty-day readmission rate did not seem to be a valid measure of HF quality of care. If the goal is to identify high-quality HF care, the emphasis on decreasing readmission rates might be better directed towards improving usage of the recommended therapies.

Risk Trajectories for Readmission and Death After Cirrhosis-Related Hospitalization

INTRODUCTION

Patients hospitalized for cirrhosis are at high risk for readmission and death for the first 30 days following discharge. However, there is no information on how these risks dynamically change over a full year after discharge. Our aim was to determine the absolute risks of first readmission and death and characterize these changes in the first year following hospital discharge.

METHODS

We conducted a retrospective cohort study of patients who were hospitalized with cirrhosis at all Veterans Affairs hospitals and discharged home between 01/01/2010 and 12/31/2013. We used separate survival models to determine risk of first readmission and death after hospital discharge. We also examined the absolute daily risks for first readmission and death by day and identified the time required for risks of readmission and death to decline 50% and 75% from maximum values.

RESULTS

Of the 38,955 patients who survived index hospitalization for cirrhosis, 23,318 patients (59.9%) had at least one readmission and 11,567 patients (29.7%) died within the first year. Daily risk of readmission was the highest on day 1 (1.23%) and declined 50% by day 71 and 75% by day 260. After 1 year, daily risk of readmission did not plateau. Daily risk of death was the highest on day 1 (0.78%) and declined 50% by day 31 and 75% by day 64.

CONCLUSION

The risk of readmission and death after cirrhosis-related hospitalization remains elevated for prolonged periods. Patients and providers should remain vigilant for clinical health deterioration beyond the first 30 days following hospitalization.

Coordinated-Transitional Care for Veterans with Heart Failure and Chronic Lung Disease

OBJECTIVES

Patients with congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) account for most 30-day hospital readmissions nationwide. The Coordinated-Transitional Care (C-TraC) program is a telephone-based, nurse-driven intervention shown to decrease readmissions in Veterans Affairs (VA) and non-VA hospitals. The goal of this project was to assess the feasibility and efficacy of adapting C-TraC to meet the needs of complex patients with CHF and COPD in a large urban tertiary care VA medical center.

DESIGN

We used the Replicating Effective Programs model to guide the implementation. The C-TraC nurse received intensive training in cardiology and pulmonology and worked closely with both inpatient and outpatient providers to coordinate care. Eligible patients were admitted with CHF or COPD and had at least one additional risk for readmission.

SETTING

The nurse met patients in the hospital, participated in their discharge planning, and then provided intensive case management for up to 4 weeks.

PARTICIPANTS

Over its initial 14 months, the program successfully enrolled 299 veterans with good fidelity to the protocol.

MEASUREMENTS

A total of 43 (15.8%) C-TraC participants were rehospitalized within 30 days compared with 172 (21.0%) of historical controls matched 3:1 on age, risk of 90-day hospital admission, and discharge diagnosis.

RESULTS

Participants were 54% less likely to be rehospitalized (odds ratio = .46; 95% CI = .24-.89).

CONCLUSION

The program was financially sustainable. The total cost of care in the 30-day postdischarge period was $1842.52 less per C-TraC patient than per controls, leading the medical center to sustain and expand the program.