Variations in VA and Medicare Use Among Veterans With Diabetes: Impacts on Ambulatory Care Sensitive Conditions Hospitalizations for 2008, 2009, and 2010

[Determinants of avoidable hospitalization for type2 diabetes. Narrative review]

OBJECTIVE

To identify the structural and intermediate determinants associated with avoidable hospitalizations (AH) of patients with type2 diabetes mellitus (T2DM).

DESIGN

Literature review based on narrative synthesis.

DATA SOURCES

Databases: PubMed, Science Direct, and Latin American and Caribbean Literature in Health Sciences (LILACS).

STUDY SELECTION

Documents were selected and analyzed under a critical literature review, considering inclusion and exclusion criteria.

DATA EXTRACTION

Information extracted from each selected article was synthesized based on the countries' income levels and the social determinants of health framework.

RESULTS

A total of 4,166 articles were relevant, 36 were selected for review. From this selection, 21 were publications conducted in high-income countries, 14 in upper-middle-income countries, and one in lower-middle-income countries. The review identified that the coverage of health services -mainly primary health care- and health insurance contribute to reducing the risk of AH for T2DM, while social inequalities tend to increase the risk.

CONCLUSIONS

The AH due to T2DM are susceptible to reduction through policies that contribute to increasing effective access to health services (availability, insurance), since they express social inequality, occurring to a greater extent in socioeconomically vulnerable populations. This review also provides evidence of the need to expand research on this topic in middle and low-income countries.

Chronic Disease Management through Clinical Video Telehealth on Health Care Utilization, and Mortality in the Veterans Health Administration: A Retrospective Cohort Study

Background: Chronic health diseases such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM) affect 6 in 10 Americans and contribute to 90% of the $4.1 trillion health care expenditures. The objective of this study was to measure the effect of clinical video telehealth (CVT) on health care utilization and mortality. A retrospective cohort study of Veterans ≥65 years with CHF, COPD, or DM was conducted. Measures: Veterans using CVT were matched 1:3 on demographic characteristics to Veterans who did not use CVT. Outcomes included 1-year incidence of ED visits, inpatient admissions, and mortality, reported as adjusted odds ratios (aORs) and 95% confidence intervals (CIs). Results: Final analytical cohorts included 22,280 Veterans with CHF, 51,872 Veterans with COPD, and 170,605 Veterans with DM. CVT utilization was associated with increased ED visits for CHF (aOR: 1.24; 95% CI: 1.15-1.34), COPD (aOR: 1.20; 95% CI: 1.14-1.26), and DM (aOR: 1.07; 95% CI: 1.00-1.10). For CHF, there was no difference between CVT utilization and inpatient admissions (aOR: 0.98; 95% CI 0.91-1.05) or mortality (aOR: 1.03; 95% CI: 0.93-1.15). For COPD, CVT was associated with increased inpatient admissions (aOR: 1.08; 95% CI: 1.02-1.13) and mortality (aOR: 1.36; 95% CI: 1.25-1.48). For DM, CVT utilization was associated with lower risk of inpatient admissions (aOR: 0.83; 95% CI: 0.80-0.86) and mortality (aOR: 0.89; 95% CI: 0.84-0.95). Conclusions: CVT use as an alternative care site might serve as an early warning system, such that this mechanism may indicate when an in-person assessment is needed for potential exacerbation of conditions. Although inpatient and mortality varied, ED utilization was higher with CVT. Exploring pathways accessing clinical care through CVT, and how CVT is directly or indirectly associated with immediate and long-term clinical outcomes would be valuable.

Risk of Potentially Preventable Hospitalizations After SARS-CoV-2 Infection

Importance

Research demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings.

Objective

To examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans.

Design, Setting, and Participants

This cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024.

Exposure

SARS-CoV-2 infection.

Main Outcomes and Measures

The primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators.

Results

The 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48).

Conclusions and Relevance

In this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

Veterans’ ambulatory care experience during COVID-19: veterans’ access to and satisfaction with primary care early in the pandemic

Background

The COVID-19 pandemic caused widespread changes to healthcare, but few studies focus on ambulatory care during the early phase of the pandemic. We characterize veterans’ ambulatory care experience, specifically access and satisfaction, early in the pandemic.

Methods

We employed a semi-structured telephone interview to capture quantitative and qualitative data from patients scheduled with a primary care provider between March 1 – June 30, 2020. Forty veterans were randomly identified at a single large urban Veterans Health Administration (VHA) medical center. The interview guide utilized 56 closed and open-ended questions to characterize veterans’ perceptions of access to and satisfaction with their primary care experience at VHA and non-VHA primary care sources. We also explored the context of veterans' daily lives during the pandemic. We analyzed quantitative data using descriptive statistics and verbatim quotes using a matrix analysis.

Results

Veterans reported completing more appointments (mean 2.6 (SD 2.2)) than scheduled (mean 2.3 (SD 2.2)) mostly due to same-day or urgent visits, with a shift to telephone (mean 2.1 (SD 2.2)) and video (mean 1.5 (SD 0.6)). Among those who reported decreased access to care early in the pandemic (n = 27 (67%)), 15 (56%) cited administrative barriers (“The phone would hang up on me”) and 9 (33%) reported a lack of provider availability (“They are not reaching out like they used to”). While most veterans (n = 31 (78%)) were highly satisfied with their VHA care (mean score 8.6 (SD 2.0 on a 0–10 scale), 9 (23%) reported a decrease in satisfaction since the pandemic. The six (15%) veterans who utilized non-VHA providers during the period of interest reported, on average, higher satisfaction ratings (mean 9.5 (SD 1.2)).

Many veterans reported psychosocial effects such as the worsening of mental health (n = 6 (15%)), anxiety concerning the virus (n = 12 (30%)), and social isolation (n = 8 (20%), “I stay inside and away from people”).

Conclusions

While the number of encounters reported suggest adequate access and satisfaction, the comments regarding barriers to care suggest that enhanced approaches may be warranted to improve and sustain veteran perceptions of adequate access to and satisfaction with primary care during times of crisis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01851-3.

Characteristics of Veterans With Non-VA Encounters Enrolled in a Trial of Standards-Based, Interoperable Event Notification and Care Coordination

INTRODUCTION

Understanding how veterans use Veterans Affairs (VA) for primary care and non-VA for acute care can help policy makers predict future health care resource use. We aimed to describe characteristics of veterans enrolled in a multisite clinical trial of non-VA acute event notifications and care coordination and to identify patient factors associated with non-VA acute care.

METHODS

Characteristics of 565 veterans enrolled in a prospective cluster randomized trial at the Bronx and Indianapolis VA Medical Centers were obtained by interview and chart review.

RESULTS

Veterans' mean age was 75.8 years old, 98.3% were male, and 39.2% self-identified as a minority race; 81.2% reported receiving the majority of care at the VA. There were 197 (34.9%) veterans for whom a non-VA acute care alert was received. Patient characteristics significantly associated with greater odds of a non-VA alert included older age (OR = 1.05; 95% CI, 1.04-1.05); majority of care received is non-VA (OR = 1.83; 95% CI, 1.06-3.15); private insurance (OR = 1.39; 95% CI, 1.19-1.62); and higher income (OR = 4.01; 95% CI, 2.68-5.98).

CONCLUSIONS

We identified several patient-level factors associated with non-VA acute care that can inform the design of VA services and policies for veterans with non-VA acute care encounters and reintegration back into the VA system.