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1.
Oncologist ; 29(5): 369-376, 2024 May 03.
Article in English | MEDLINE | ID: mdl-38254242

ABSTRACT

PURPOSE: This study retrospectively reviewed the outcomes of patients with advanced hepatocellular carcinoma (HCC) receiving atezolizumab with bevacizumab (A + B) therapy at the Veterans Health Administration (VHA). PATIENTS AND METHODS: Patients with advanced HCC who received first-line systemic therapy with A + B at the VHA between December 1, 2019, and March 1, 2022, were selected from electronic medical records (EMR) using ICD-9 and ICD-10 codes. Abstractors reviewed the EMR of the patients from their index date of A + B initiation until death or their last VHA visit, with the study period ending on January 31, 2023. The chi-square test was used to compare rates, and the Mann-Whitney test was used to compare medians. RESULTS: A total of 332 patients met the study criteria. The median age was 67 years; 99% were male, 63% were non-Hispanic Whites, 26% were Black, and 66% had an Eastern Cooperative Oncology Group performance status of ≥1. 84% had child Pugh score (CPS) class A, 16% had CPS classes B and C, 62% had a grade 2 albumin-bilirubin score, 56% had HCC caused by viral hepatitis, 80% had cirrhosis, and 67% had received prior local therapies. The 6-month progression-free survival (PFS) was 59%, while the 1-year PFS rate was 36%. Overall survival (OS) at 1-year was 52% in our study. CONCLUSION: In real world, despite having similar PFS as the phase III IMbrave 150 trial, our OS at 12 months was lower (52% vs. 67%) because our study included a higher proportion of elderly patients with moderate liver dysfunction and a 40% non-White. This study provided real-world outcomes that differed from the study population in a pivotal trial.


Subject(s)
Carcinoma, Hepatocellular , Liver Neoplasms , Humans , Liver Neoplasms/pathology , Liver Neoplasms/drug therapy , Liver Neoplasms/mortality , Liver Neoplasms/therapy , Male , Carcinoma, Hepatocellular/pathology , Carcinoma, Hepatocellular/drug therapy , Carcinoma, Hepatocellular/mortality , Carcinoma, Hepatocellular/therapy , Female , Aged , Retrospective Studies , Middle Aged , United States/epidemiology , Antibodies, Monoclonal, Humanized/therapeutic use , United States Department of Veterans Affairs/statistics & numerical data , Bevacizumab/therapeutic use , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Treatment Outcome , Veterans Health/statistics & numerical data
3.
JAMA ; 328(9): 861-871, 2022 09 06.
Article in English | MEDLINE | ID: mdl-36066519

ABSTRACT

Importance: Novel therapies for type 2 diabetes can reduce the risk of cardiovascular disease and chronic kidney disease progression. The equitability of these agents' prescription across racial and ethnic groups has not been well-evaluated. Objective: To investigate differences in the prescription of sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) among adult patients with type 2 diabetes by racial and ethnic groups. Design, Setting, and Participants: Cross-sectional analysis of data from the US Veterans Health Administration's Corporate Data Warehouse. The sample included adult patients with type 2 diabetes and at least 2 primary care clinic visits from January 1, 2019, to December 31, 2020. Exposures: Self-identified race and self-identified ethnicity. Main Outcomes and Measures: The primary outcomes were prevalent SGLT2i or GLP-1 RA prescription, defined as any active prescription during the study period. Results: Among 1 197 914 patients (mean age, 68 years; 96% men; 1% American Indian or Alaska Native, 2% Asian, Native Hawaiian, or Other Pacific Islander, 20% Black or African American, 71% White, and 7% of Hispanic or Latino ethnicity), 10.7% and 7.7% were prescribed an SGLT2i or a GLP-1 RA, respectively. Prescription rates for SGLT2i and GLP-1 RA, respectively, were 11% and 8.4% among American Indian or Alaska Native patients; 11.8% and 8% among Asian, Native Hawaiian, or Other Pacific Islander patients; 8.8% and 6.1% among Black or African American patients; and 11.3% and 8.2% among White patients, respectively. Prescription rates for SGLT2i and GLP-1 RA, respectively, were 11% and 7.1% among Hispanic or Latino patients and 10.7% and 7.8% among non-Hispanic or Latino patients. After accounting for patient- and system-level factors, all racial groups had significantly lower odds of SGLT2i and GLP-1 RA prescription compared with White patients. Black patients had the lowest odds of prescription compared with White patients (adjusted odds ratio, 0.72 [95% CI, 0.71-0.74] for SGLT2i and 0.64 [95% CI, 0.63-0.66] for GLP-1 RA). Patients of Hispanic or Latino ethnicity had significantly lower odds of prescription (0.90 [95% CI, 0.88-0.93] for SGLT2i and 0.88 [95% CI, 0.85-0.91] for GLP-1 RA) compared with non-Hispanic or Latino patients. Conclusions and Relevance: Among patients with type 2 diabetes in the Veterans Health Administration system during 2019 and 2020, prescription rates of SGLT2i and GLP-1 RA medications were low, and individuals of several different racial groups and those of Hispanic ethnicity had statistically significantly lower odds of receiving prescriptions for these medications compared with individuals of White race and non-Hispanic ethnicity. Further research is needed to understand the mechanisms underlying these differences in rates of prescribing and the potential relationship with differences in clinical outcomes.


Subject(s)
Diabetes Mellitus, Type 2 , Glucagon-Like Peptide-1 Receptor , Healthcare Disparities , Prescriptions , Sodium-Glucose Transporter 2 Inhibitors , Veterans Health , Adult , Aged , Cross-Sectional Studies , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/ethnology , Ethnicity/statistics & numerical data , Female , Glucagon-Like Peptide-1 Receptor/agonists , Health Equity/statistics & numerical data , Healthcare Disparities/ethnology , Healthcare Disparities/statistics & numerical data , Humans , Hypoglycemic Agents/therapeutic use , Male , Practice Patterns, Physicians'/statistics & numerical data , Prescriptions/statistics & numerical data , Professional Practice/statistics & numerical data , Racial Groups/statistics & numerical data , Sodium-Glucose Transporter 2 Inhibitors/therapeutic use , United States/epidemiology , Veterans Health/ethnology , Veterans Health/statistics & numerical data
5.
Dis Colon Rectum ; 64(12): 1551-1558, 2021 12 01.
Article in English | MEDLINE | ID: mdl-34747918

ABSTRACT

BACKGROUND: More than 50% of postoperative wound complications occur after discharge. They are the most common postoperative complication and the most common reason for readmission after a surgical procedure. Little is known about the long-term costs of postdischarge wound complications after surgery. OBJECTIVE: We sought to understand the differences in costs and characteristics of wound complications identified after hospital discharge for patients undergoing colorectal surgery in comparison with in-hospital complications. DESIGN: This is an observational cohort study using Veterans Health Administration Surgical Quality Improvement Program data. SETTING: This study was conducted at a Veterans Affairs medical center. SETTING: Patients undergoing colorectal resection between October 1, 2007 and September 30, 2014. MAIN OUTCOME MEASURES: The primary outcomes measured were adjusted costs of care at discharge, 30 days, and 90 days after surgery. RESULTS: Of 20,146 procedures, 11.9% had a wound complication within 30 days of surgery (49.2% index-hospital, 50.8% postdischarge). In comparison with patients with index-hospital complications, patients with postdischarge complications had fewer superficial infections (65.0% vs 72.2%, p < 0.01), more organ/space surgical site infections (14.3% vs 10.1%, p < 0.01), and higher rates of diabetes (29.1% vs 25.0%, p = 0.02), and they were to have had a laparoscopic approach for their surgery (24.7% vs 18.2%, p < 0.01). The average cost including surgery at 30 days was $37,315 (SD = $29,319). Compared with index-hospital wound complications, postdischarge wound complications were $9500 (22%, p < 0.001) less expensive at 30 days and $9736 (15%, p < 0.001) less expensive at 90 days. Patients with an index-hospital wound complication were 40% less likely to require readmission at 30 days, but their readmissions were $12,518 more expensive than readmissions among patients with a newly identified postdischarge wound complication (p < 0.001). LIMITATIONS: This study was limited to patient characteristics and costs accrued only within the Veterans Affairs system. CONCLUSIONS: Patients with postdischarge wound complications have lower 30- and 90-day postoperative costs than those with wound complications identified during their index hospitalization and almost half were managed as an outpatient. TIEMPO Y COSTO DE LAS COMPLICACIONES LA HERIDA DESPUS DE LA RESECCIN COLORRECTAL: ANTECEDENTES:Más del 50% de complicaciones postoperatorias de la herida ocurren después del alta. Es la complicación postoperatoria más común y el motivo más frecuente de reingreso después del procedimiento quirúrgico. Poco se sabe sobre los costos a largo plazo de las complicaciones de la herida después del alta quirúrgica.OBJETIVO:Intentar en comprender las diferencias en los costos y las características de las complicaciones de la herida, identificadas después del alta hospitalaria, en pacientes sometidos a cirugía colorrectal, en comparación con las complicaciones intrahospitalarias.DISEÑO:Estudio de cohorte observacional utilizando datos del Programa de Mejora de la Calidad Quirúrgica de la Administración de Salud de Veteranos.ENTORNO CLÍNICO:Administración de Veteranos.PACIENTES:Pacientes sometidos a resección colorrectal entre el 1/10/2007 y el 30/9/2014.PRINCIPALES MEDIDAS DE VALORACIÓN:Costos de atención ajustados al alta, 30 días y 90 días después de la cirugía.RESULTADOS:De 20146 procedimientos, el 11,9% tuvo una complicación de la herida dentro de los 30 días de la cirugía. (49,2% índice hospitalario, 50,8% después del alta). En comparación con los pacientes, del índice de complicaciones hospitalarias, los pacientes con complicaciones posteriores al alta, tuvieron menos infecciones superficiales (65,0% frente a 72,2%, p <0,01), más infecciones de órganos/espacios quirúrgicos (14,3% frente a 10,1%, p <0,01), tasas más altas de diabetes (29,1% versus 25,0%, p = 0,02), y deberían de haber tenido un abordaje laparoscópico para su cirugía (24,7% versus 18,2%, p <0,01). El costo promedio, incluida la cirugía a los 30 días, fue de $ 37,315 (desviación estándar = $ 29,319). En comparación con el índice de complicaciones de las herida hospitalaria, las complicaciones de la herida después del alta fueron $ 9,500 (22%, p <0,001) menor costo a los 30 días y $ 9,736 (15%, p<0,001) y menor costo a los 90 días. Los pacientes con índice de complicación de la herida hospitalaria, tenían un 40% menos de probabilidades de requerir reingreso a los 30 días, pero sus reingresos eran $ 12,518 más costosos que los reingresos entre los pacientes presentando complicación de la herida recién identificada después del alta (p <0,001).LIMITACIONES:Limitado a las características del paciente y los costos acumulados solo dentro del sistema VA.CONCLUSIONES:Pacientes con complicaciones de la herida post alta, tienen menores costos postoperatorios a los 30 y 90 días, que aquellos con complicaciones de la herida identificadas durante su índice de hospitalización y aproximadamente la mitad fueron tratados de forma ambulatoria.


Subject(s)
Colorectal Neoplasms/surgery , Colorectal Surgery/adverse effects , Postoperative Complications/economics , Surgical Wound Infection/economics , Aftercare/economics , Aftercare/statistics & numerical data , Aged , Case-Control Studies , Cohort Studies , Diabetes Complications/epidemiology , Female , Health Care Costs/statistics & numerical data , Humans , Laparoscopy/adverse effects , Laparoscopy/statistics & numerical data , Male , Middle Aged , Patient Discharge/economics , Patient Discharge/statistics & numerical data , Patient Readmission/economics , Patient Readmission/statistics & numerical data , Postoperative Complications/pathology , Quality Improvement , Surgical Wound Infection/diagnosis , Surgical Wound Infection/epidemiology , Veterans Health/statistics & numerical data
6.
JAMA Otolaryngol Head Neck Surg ; 147(11): 981-989, 2021 11 01.
Article in English | MEDLINE | ID: mdl-34617963

ABSTRACT

Importance: Head and neck cancer (HNC) survivors are about twice as likely to die by suicide compared with other cancer survivors. Objective: To examine the associations between precancer mental health and pain and postcancer receipt of mental health, substance use disorder (SUD), or palliative care services with risk of suicidal self-directed violence (SSDV). Design, Setting, and Participants: This retrospective cohort study used the Veterans Health Administration data of 7803 veterans with a diagnosis of HNC (stage I-IVB) who received cancer treatment between January 1, 2012, and January 1, 2018. Data were analyzed between May 2020 and July 2021. Exposures: Presence of precancer chronic pain and SUD diagnoses, and postcancer SUD, mental health, or palliative care treatment. Exposures were defined using International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes in Veterans Health Administration administrative data. Main Outcomes and Measures: Documented SSDV event, including suicide attempt or death by suicide, after HNC diagnosis. Results: Among the cohort of 7803 veterans (7685 [98.4%] male; mean [SD] age, 65 [10.7] years), 72 (0.9%) had at least 1 documented SSDV event following their cancer diagnosis, and 51 (0.7%) died by suicide. Four adjusted modified Poisson regression analyses identified that precancer chronic pain (incidence rate ratio [IRR], 2.58; 95% CI 1.54-4.32) or mood disorder diagnoses (IRR, 1.95; 95% CI, 1.17-3.24) were associated with higher risk of postcancer SSDV. Those who had at least 1 documented mental health (IRR, 2.73; 95% CI, 1.24-6.03) or SUD (IRR, 3.92; 95% CI, 2.46-6.24) treatment encounter in the 90 days following HNC diagnosis were at higher risk for SSDV. A palliative care encounter within 90 days of postcancer diagnosis was associated with decreased risk of SSVD (IRR, 0.49; 95% CI, 0.31-0.78). Conclusions and Relevance: In this cohort study, a high proportion of HNC survivors with an SSVD event died from their injuries. Identification of risk factors for SSDV among HNC survivors may help direct additional resources to those who are at high risk. Referral to palliative care appears to be an important component of supportive oncologic care to reduce the risk of SSDV.


Subject(s)
Cancer Survivors/psychology , Carcinoma, Squamous Cell/psychology , Head and Neck Neoplasms/psychology , Suicide, Attempted/psychology , Veterans Health , Adult , Aged , Carcinoma, Squamous Cell/therapy , Facilities and Services Utilization/statistics & numerical data , Female , Head and Neck Neoplasms/therapy , Humans , Male , Mental Health Services/statistics & numerical data , Middle Aged , Palliative Care/psychology , Poisson Distribution , Retrospective Studies , Risk Factors , Suicide, Attempted/statistics & numerical data , United States , Veterans Health/statistics & numerical data
7.
J Clin Psychiatry ; 82(6)2021 10 05.
Article in English | MEDLINE | ID: mdl-34610227

ABSTRACT

Objective: Fluoxetine, paroxetine, sertraline, topiramate, and venlafaxine have previously shown efficacy for posttraumatic stress disorder (PTSD) in randomized clinical trials. Two prior studies using Department of Veterans Affairs (VA) medical records data show these medications are also effective in routine practice. Using an expanded retrospective cohort, we assessed the possibility of differential patterns of response based on patient and clinical factors.Methods: We identified 6,839 VA outpatients with clinical diagnoses of PTSD between October 1999 and September 2019 who initiated one of the medications and met pre-specified criteria for treatment duration and dose, combined with baseline and endpoint PTSD checklist (PCL) measurements. We compared 12-week changes in PCL score within clinical subgroups defined by sex, race and ethnicity, and military exposures, as well as comorbidities. Comorbidities were identified using International Classification of Diseases diagnostic codes and grouped according to major diagnostic classifications in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (eg, Psychotic Disorders, Depressive Disorders). We used a propensity score weighting approach to balance covariates among medication arms within each clinical subgroup. In our exploratory analyses using unweighted data for the overall cohort, we built penalized logistic regression models to identify covariates that predicted meaningful improvement.Results: There were no significant differences between medications in our weighted subgroup analyses. In unweighted exploratory analyses, higher baseline PCL scores and concurrent receipt of evidence-based psychotherapy predicted meaningful improvement, while high levels of disability predicted not realizing meaningful improvement.Conclusions: In the largest real-world study of medications for PTSD to date, we did not observe a pattern of differential response among clinical subgroups. All patients taking medications for PTSD, especially those with the highest levels of disability, should consider combined treatment with evidence-based psychotherapy.


Subject(s)
Antidepressive Agents, Second-Generation/therapeutic use , Psychotherapy/methods , Selective Serotonin Reuptake Inhibitors/therapeutic use , Stress Disorders, Post-Traumatic , Veterans Health/statistics & numerical data , Adult , Combined Modality Therapy/methods , Comorbidity , Diagnostic and Statistical Manual of Mental Disorders , Dose-Response Relationship, Drug , Ethnicity , Female , Humans , Male , Medical Records/statistics & numerical data , Military Health , Patient Selection , Sex Factors , Stress Disorders, Post-Traumatic/diagnosis , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/psychology , Stress Disorders, Post-Traumatic/therapy , Treatment Outcome , United States/epidemiology
8.
Article in English | MEDLINE | ID: mdl-34465615

ABSTRACT

BACKGROUND AND OBJECTIVES: To characterize population-level data associated with transverse myelitis (TM) within the US Veterans Health Administration (VHA). METHODS: This retrospective review used VHA electronic medical record from 1999 to 2015. We analyzed prevalence, disease characteristics, modified Rankin Scale (mRS) scores, and mortality data in patients with TM based on the 2002 Diagnostic Criteria. RESULTS: We identified 4,084 patients with an International Classification of Diseases (ICD) code consistent with TM and confirmed the diagnosis in 1,001 individuals (90.7% males, median age 64.2, 67.7% Caucasian, and 31.4% smokers). The point prevalence was 7.86 cases per 100,000 people. Less than half of the cohort underwent a lumbar puncture, whereas only 31.8% had a final, disease-associated TM diagnosis. The median mRS score at symptom onset was 3 (interquartile range 2-4), which remained unchanged at follow-up, although less than half (43.2%) of the patients received corticosteroids, IVIg, or plasma exchange. Approximately one-quarter of patients (24.3%) had longitudinal extensive TM, which was associated with poorer outcomes (p = 0.002). A total of 108 patients (10.8%) died during our review (94.4% males, median age 66.5%, and 70.4% Caucasian). Mortality was associated with a higher mRS score at follow-up (OR 1.94, 95% CI, 1.57-2.40) and tobacco use (OR 1.87, 95% CI, 1.17-2.99). DISCUSSION: This national TM review highlights the relatively high prevalence of TM in a modern cohort. It also underscores the importance of a precise and thorough workup in this disabling disorder to ensure diagnostic precision and ensure optimal management for patients with TM in the future.


Subject(s)
Myelitis, Transverse/epidemiology , Neuroinflammatory Diseases/epidemiology , Aged , Humans , Male , Middle Aged , Myelitis, Transverse/drug therapy , Myelitis, Transverse/immunology , Neuroinflammatory Diseases/drug therapy , Neuroinflammatory Diseases/immunology , Retrospective Studies , United States/epidemiology , United States Department of Veterans Affairs/statistics & numerical data , Veterans Health/statistics & numerical data
9.
Am J Epidemiol ; 190(9): 1928-1934, 2021 09 01.
Article in English | MEDLINE | ID: mdl-34467408

ABSTRACT

We sought to operationalize and validate data-driven approaches for identifying transgender individuals in the Veterans Health Administration (VHA) of the US Department of Veterans Affairs (VA) through a retrospective analysis using VA administrative data from 2006-2018. Besides diagnoses of gender identity disorder (GID), a combination of non-GID data elements was used to identify potentially transgender veterans, including 1) an International Classification of Diseases (Ninth or Tenth Revision) code of endocrine disorder, unspecified or not otherwise specified; 2) receipt of sex hormones not associated with the sex documented in the veteran's records (gender-affirming hormone therapy); and 3) a change in the veteran's administratively recorded sex. Both GID and non-GID data elements were applied to a sample of 13,233,529 veterans utilizing the VHA of the VA between January 2006 and December 2018. We identified 10,769 potentially transgender veterans. Based on a high positive predictive value for GID-coded veterans (83%, 95% confidence interval: 77, 89) versus non-GID-coded veterans (2%, 95% confidence interval: 1, 11) from chart review validation, the final analytical sample comprised only veterans with a GID diagnosis code (n = 9,608). In the absence of self-identified gender identity, findings suggest that relying entirely on GID diagnosis codes is the most reliable approach for identifying transgender individuals in the VHA of the VA.


Subject(s)
Gender Dysphoria/epidemiology , Transgender Persons/statistics & numerical data , Transsexualism/epidemiology , Veterans Health/statistics & numerical data , Veterans/statistics & numerical data , Adult , Aged , Female , Gender Dysphoria/diagnosis , Humans , International Classification of Diseases , Male , Middle Aged , Retrospective Studies , Sex Reassignment Procedures/statistics & numerical data , Transsexualism/diagnosis , United States/epidemiology
10.
PLoS One ; 16(7): e0246217, 2021.
Article in English | MEDLINE | ID: mdl-34324514

ABSTRACT

OBJECTIVE: We explored longitudinal trends in sociodemographic characteristics, reported symptoms, laboratory findings, pharmacological and non-pharmacological treatment, comorbidities, and 30-day in-hospital mortality among hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: This retrospective cohort study included patients diagnosed with COVID-19 in the United States Veterans Health Administration between 03/01/20 and 08/31/20 and followed until 09/30/20. We focused our analysis on patients that were subsequently hospitalized, and categorized them into groups based on the month of hospitalization. We summarized our findings through descriptive statistics. We used Cuzick's Trend Test to examine any differences in the distribution of our study variables across the six months. RESULTS: During our study period, we identified 43,267 patients with COVID-19. A total of 8,240 patients were hospitalized, and 13.1% (N = 1,081) died within 30 days of admission. Hospitalizations increased over time, but the proportion of patients that died consistently declined from 24.8% (N = 221/890) in March to 8.0% (N = 111/1,396) in August. Patients hospitalized in March compared to August were younger on average, mostly black, urban-dwelling, febrile and dyspneic. They also had a higher frequency of baseline comorbidities, including hypertension and diabetes, and were more likely to present with abnormal laboratory findings including low lymphocyte counts and elevated creatinine. Lastly, there was a decline from March to August in receipt of mechanical ventilation (31.4% to 13.1%) and hydroxychloroquine (55.3% to <1.0%), while treatment with dexamethasone (3.7% to 52.4%) and remdesivir (1.1% to 38.9%) increased. CONCLUSION: Among hospitalized patients with COVID-19, we observed a trend towards decreased disease severity and mortality over time.


Subject(s)
COVID-19/mortality , Veterans Health/statistics & numerical data , Adenosine Monophosphate/analogs & derivatives , Adenosine Monophosphate/therapeutic use , Aged , Aged, 80 and over , Alanine/analogs & derivatives , Alanine/therapeutic use , Comorbidity , Dexamethasone/therapeutic use , Female , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Longitudinal Studies , Lymphocyte Count , Lymphocytes/immunology , Male , Middle Aged , Respiration, Artificial/methods , Retrospective Studies , United States , COVID-19 Drug Treatment
11.
Am Heart J ; 241: 6-13, 2021 11.
Article in English | MEDLINE | ID: mdl-34118202

ABSTRACT

BACKGROUND: Kidney function may promote progression of AF. OBJECTIVE: We evaluated the association of kidney function to AF progression and resultant clinical outcomes in patients with cardiac implantable electronic devices (CIED). METHODS: We performed a retrospective cohort study using national clinical data from the Veterans Health Administration linked to CIED data from the Carelink® remote monitoring data warehouse (Medtronic Inc, Mounds View, MN). All devices had atrial leads and at least 75% of remote monitoring transmission coverage. Patients were included at the date of the first AF episode lasting ≥6 minutes, and followed until the occurrence of persistent AF in the first year, defined as ≥7 consecutive days with continuous AF. We used Cox regression analyses with persistent AF as a time-varying covariate to examine the association to stroke, myocardial infarction, heart failure and death. RESULTS: Of, 10,323 eligible patients, 1,771 had a first CIED-detected AF (mean age 69 ± 10 years, 1.2% female). In the first year 355 (20%) developed persistent AF. Kidney function was not associated with persistent AF after multivariable adjustment including CHA2DS2-VASc variables and prior medications. Only higher age increased the risk (HR: 1.37 per 10 years; 95% CI:1.22-1.54). Persistent AF was associated to higher risk of heart failure (HR: 2.27; 95% CI: 1.88-2.74) and death (HR: 1.60; 95% CI: 1.30-1.96), but not stroke (HR: 1.28; 95% CI: 0.62-2.62) or myocardial infarction (HR: 1.43; 95% CI: 0.91-2.25). CONCLUSION: Kidney function was not associated to AF progression, whereas higher age was. Preventing AF progression could reduce the risk of heart failure and death.


Subject(s)
Atrial Fibrillation , Heart Failure , Kidney Function Tests , Monitoring, Physiologic , Stroke , Age Factors , Aged , Atrial Fibrillation/diagnosis , Atrial Fibrillation/mortality , Atrial Fibrillation/physiopathology , Correlation of Data , Electrodes, Implanted/statistics & numerical data , Female , Heart Failure/diagnosis , Heart Failure/epidemiology , Humans , Kidney Function Tests/methods , Kidney Function Tests/statistics & numerical data , Male , Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/methods , Monitoring, Physiologic/statistics & numerical data , Negative Results , Remote Sensing Technology/instrumentation , Remote Sensing Technology/statistics & numerical data , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , Stroke/diagnosis , Stroke/epidemiology , United States/epidemiology , Veterans Health/statistics & numerical data
12.
Med Care ; 59(Suppl 3): S270-S278, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33976076

ABSTRACT

BACKGROUND: The 2014 Veterans Choice Program aimed to improve care access for Veterans through expanded availability of community care (CC). Increased access to CC could particularly benefit rural Veterans, who often face obstacles in obtaining medical care at the Veterans Health Administration (VHA). However, whether Veterans Choice Program improved timely access to care for this vulnerable population is understudied. OBJECTIVES: To examine wait times among rural and urban Veterans for 5 outpatient specialty care services representing the top requests for CC services among rural Veterans. RESEARCH DESIGN: Retrospective study using VHA and CC outpatient consult data from VHA's Corporate Data Warehouse in Fiscal Year (FY) 2015 (October 1, 2014 to September 30, 2015) and FY2018 (October 1, 2017 to September 30, 2018). SUBJECTS: All Veterans who received a new patient consult for physical therapy, cardiology, optometry, orthopedics, and/or dental services in VHA and/or CC. MEASURES: Wait time, care setting (VHA/CC), rural/urban status, sociodemographics, and comorbidities. RESULTS: Our sample included 1,112,876 Veterans. Between FY2015 and FY2018, mean wait times decreased for all services for both rural and urban Veterans; declines were greatest in VHA (eg, mean optometry wait times for rural Veterans in VHA vs. CC declined 8.3 vs. 6.4 d, respectively, P<0.0001). By FY2018, for both rural and urban Veterans, CC mean wait times for most services were longer than VHA wait times. CONCLUSIONS: Timely care access for all Veterans improved between FY15 and FY18, particularly in VHA. As expansion of CC continues under the MISSION Act, more research is needed to evaluate quality of care across VHA and CC and what role, if any, wait times play.


Subject(s)
Ambulatory Care/statistics & numerical data , Community Health Services/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Veterans Health/statistics & numerical data , Veterans/statistics & numerical data , Female , Health Plan Implementation , Health Services Accessibility/legislation & jurisprudence , Humans , Male , Middle Aged , Patient Freedom of Choice Laws , Retrospective Studies , Rural Population/statistics & numerical data , Time Factors , United States , United States Department of Veterans Affairs , Urban Population/statistics & numerical data , Veterans Health/legislation & jurisprudence
13.
Med Care ; 59(Suppl 3): S286-S291, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33976078

ABSTRACT

BACKGROUND: The 2014 Veterans Access, Choice and Accountability Act was intended to improve Veterans' access to timely health care by expanding their options to receive community care (CC) paid for by the Veterans Health Administration (VA). Although CC could particularly benefit rural Veterans, we know little about rural Veterans' experiences with CC. OBJECTIVE: The objective of this study was to compare rural Veterans' experiences with CC and VA outpatient health care services to those of urban Veterans and examine changes over time. RESEARCH DESIGN: Retrospective, cross-sectional study using data from the Survey of Healthcare Experiences of Patients (SHEP) and VA Corporate Data Warehouse. Subjects: All Veterans who responded to the SHEP survey in Fiscal Year (FY) 16 or FY19. MEASURES: Outcomes were 4 measures of care experience (Access, Communication, Coordination, and Provider Rating). Independent variables included care setting (CC/VA), rural/urban status, and demographic and clinical characteristics. RESULTS: Compared with urban Veterans, rural Veterans rated CC the same (for specialty care) or better (for primary care). Rural Veterans reported worse experiences in CC versus VA, except for specialty care Access. Rural Veterans' care experiences improved between FY16 and FY19 in both CC and VA, with greater improvements in CC. CONCLUSIONS: Rural Veterans' reported comparable or better experiences in CC compared with urban Veterans, but rural Veterans' CC experiences still lagged behind their experiences in VA for primary care. As growing numbers of Veterans use CC, VA should ensure that rural and urban Veterans' experiences with CC are at least comparable to their experiences with VA care.


Subject(s)
Ambulatory Care/psychology , Patient Acceptance of Health Care/psychology , Rural Population/statistics & numerical data , Veterans Health/statistics & numerical data , Veterans/psychology , Aged , Cross-Sectional Studies , Female , Health Care Surveys , Health Services Accessibility/statistics & numerical data , Humans , Male , Middle Aged , Patient Freedom of Choice Laws , Retrospective Studies , United States , United States Department of Veterans Affairs
14.
Med Care ; 59(Suppl 3): S301-S306, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33976080

ABSTRACT

BACKGROUND: The 2014 Choice Act expanded the Veterans Health Administration's (VA) capacity to purchase services for VA enrollees from community providers, yet little is known regarding the growth of Veterans' primary care use in community settings. OBJECTIVES: The aim was to measure county-level growth in VA community-based primary care (CBPC) penetration following the Choice Act and to assess whether CBPC penetration increased in rural counties with limited access to VA facilities. DATA AND SAMPLE: A total of 3132 counties from VA administrative data from 2015 to 2018, Area Health Resources Files, and County Health Rankings. ANALYSIS: We defined the county-level CBPC penetration rate as the proportion of VA-purchased primary care out of all VA-purchased primary care (ie, within and outside VA). We estimated county-level multivariate linear regression models to assess whether rurality and supply of primary care providers and health care facilities were significantly associated with CBPC growth. RESULTS: Nationally, CBPC penetration rates increased from 2.7% in 2015 to 7.3% in 2018. The rurality of the county was associated with a 2-3 percentage point (pp) increase in CBPC penetration growth (P<0.001). The presence of a VA facility was associated with a 1.7 pp decrease in CBPC penetration growth (P<0.001), while lower primary care provider supply was associated with a 0.6 pp increase in CBPC growth (P<0.001). CONCLUSION: CBPC as a proportion of all VA-purchased primary care was small but increased nearly 3-fold between 2015 and 2018. Greater increases in CBPC penetration were concentrated in rural counties and counties without a VA facility, suggesting that community care may enhance primary care access in rural areas with less VA presence.


Subject(s)
Community Health Services/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Primary Health Care/statistics & numerical data , Veterans Health/statistics & numerical data , Veterans/statistics & numerical data , Adult , Aged , Community Health Services/legislation & jurisprudence , Community Health Services/supply & distribution , Female , Health Plan Implementation , Health Services Accessibility/legislation & jurisprudence , Health Services Accessibility/statistics & numerical data , Humans , Male , Middle Aged , Patient Freedom of Choice Laws , Rural Population/statistics & numerical data , United States , United States Department of Veterans Affairs/legislation & jurisprudence , Urban Population/statistics & numerical data , Veterans/legislation & jurisprudence , Veterans Health/legislation & jurisprudence
15.
Med Care ; 59(Suppl 3): S279-S285, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33976077

ABSTRACT

BACKGROUND: The US Department of Veterans Affairs (VA) enacted policies offering Veterans care in the community, aiming to improve access challenges. However, the impact of receipt of community care on wait times for Veterans receiving surgical care is poorly understood. OBJECTIVES: To compare wait times for surgery for Veterans with carpal tunnel syndrome who receive VA care plus community care (mixed care) and those who receive care solely within the VA (VA-only). RESEARCH DESIGN: Retrospective cohort study. SUBJECTS: Veterans undergoing carpal tunnel release (CTR) between January 1, 2010 and December 31, 2016. MEASURES: Our primary outcome was time from primary care physician (PCP) referral to CTR. RESULTS: Of the 29,242 Veterans undergoing CTR, 23,330 (79.8%) received VA-only care and 5912 (20.1%) received mixed care. Veterans receiving mixed care had significantly longer time from PCP referral to CTR (median mixed care: 378 days; median VA-only care: 176 days, P<0.001). After controlling for patient and facility covariates, mixed care was associated with a 37% increased time from PCP referral to CTR (adjusted hazard ratio, 0.63; 95% confidence interval, 0.61-0.65). Each additional service provided in the community was associated with a 23% increase in time to surgery (adjusted hazard ratio, 0.77; 95% confidence interval, 0.76-0.78). CONCLUSIONS: VA-only care was associated with a shorter time to surgery compared with mixed care. Moreover, there were additional delays for each service received in the community. With likely increases in Veterans seeking community care, strategies must be used to identify and mitigate sources of delay through the spectrum of care between referral and definitive treatment.


Subject(s)
Carpal Tunnel Syndrome/surgery , Community Health Services/statistics & numerical data , Referral and Consultation/statistics & numerical data , Time-to-Treatment/statistics & numerical data , Veterans/statistics & numerical data , Aged , Community Health Services/legislation & jurisprudence , Female , Health Services Accessibility/legislation & jurisprudence , Health Services Accessibility/statistics & numerical data , Humans , Male , Middle Aged , Retrospective Studies , United States , United States Department of Veterans Affairs , Veterans Health/legislation & jurisprudence , Veterans Health/statistics & numerical data
17.
Am Heart J ; 237: 1-4, 2021 07.
Article in English | MEDLINE | ID: mdl-33745899

ABSTRACT

Patients with coronavirus disease 2019 (COVID-19) are at heightened risk of venous thromboembolic events (VTE), though there is no data examining when these events occur following a COVID-19 diagnosis. We therefore sought to characterize the incidence, timecourse of events, and outcomes of VTE during the COVID-19 pandemic in a national healthcare system using data from Veterans Affairs Administration.


Subject(s)
Anticoagulants/administration & dosage , COVID-19 , Venous Thromboembolism , Veterans Health/statistics & numerical data , Aged , COVID-19/complications , COVID-19/epidemiology , COVID-19/therapy , COVID-19 Nucleic Acid Testing , Chemoprevention/methods , Chemoprevention/statistics & numerical data , Female , Hospitalization/statistics & numerical data , Humans , Incidence , Male , Outcome Assessment, Health Care , Risk Assessment/statistics & numerical data , Risk Factors , SARS-CoV-2/isolation & purification , United States/epidemiology , Venous Thromboembolism/epidemiology , Venous Thromboembolism/etiology , Venous Thromboembolism/therapy
18.
Diagn Microbiol Infect Dis ; 100(1): 115312, 2021 May.
Article in English | MEDLINE | ID: mdl-33561606

ABSTRACT

Reporting of Coronavirus disease 2019 (COVID-19) co-infections with other respiratory pathogens has varied. We evaluated 825,280 molecular and/or viral culture respiratory assays within the Veterans Health Administration from September 29, 2019 to May 31, 2020. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected in 10,222 of 174,746 (5.8%) individuals. 30,063 (17.2%) of 174,746 individuals tested for SARS-CoV-2 had additional respiratory pathogen testing; co-infection was identified in 56 of 3757 (1.5%) individuals positive for SARS-CoV-2. Among those negative for SARS-CoV-2, 1022 of 26,306 (3.9%) were positive for at least 1 respiratory pathogen. Compared to COVID-19 mono-infection, individuals with COVID-19 co-infection had lower odds of being female. Compared to non-COVID-19 respiratory pathogen infection, individuals with COVID-19 co-infection had lower odds of being female, were hospitalized more frequently, had higher odds of death, and were younger at death. Our findings suggest COVID-19 co-infections were rare; however, not all COVID-19 patients were concurrently tested for other respiratory pathogens and seasonal decreases in other respiratory pathogens were occurring as COVID-19 emerged.


Subject(s)
COVID-19/epidemiology , Respiratory Tract Infections/epidemiology , Veterans Health/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Coinfection/epidemiology , Female , Humans , Influenza, Human/epidemiology , Male , Middle Aged , Prevalence , Respiratory Tract Infections/microbiology , Respiratory Tract Infections/virology , United States/epidemiology , United States Department of Veterans Affairs , Veterans Health Services , Young Adult
19.
J Nutr Gerontol Geriatr ; 40(1): 1-8, 2021.
Article in English | MEDLINE | ID: mdl-33439791

ABSTRACT

This project aimed to determine the feasibility of implementing a dietary intervention in older Veterans participating in an exercise and health promotion program (Gerofit) and whether this intervention could improve self-reported fruit and vegetable (F&V) intake measured by BRFSS and diet quality measured by visual analog scale (0-10 scale). Participation consisted of optional group and individual counseling with a Registered Dietitian (RD). Out of 50 participants approached to participant in the program, 24 Veterans attended ≥2 group sessions (2.9 ± 2.0 classes, which was 82% of total available sessions). There was a reported trend toward increased daily F&V intake (pre vs. post: 3.4 ± 1.9 vs. 4.1 ± 2.0 servings/day, p = 0.07) and a significant increase in diet quality (4.7 ± 0.5 vs. 5.9 ± 0.4, p= 0.03) from baseline compared to the last attended class. These promising preliminary findings can be used to inform efforts to optimize dietary intake in vulnerable Veteran populations.


Subject(s)
Diet Therapy/methods , Eating , Food Quality , Fruit , Vegetables , Aged , Aging/physiology , Aging/psychology , Eating/physiology , Eating/psychology , Female , Health Promotion/methods , Humans , Male , Self Report , Veterans Health/statistics & numerical data , Visual Analog Scale , Vulnerable Populations/psychology , Vulnerable Populations/statistics & numerical data
20.
PLoS Med ; 18(1): e1003490, 2021 01.
Article in English | MEDLINE | ID: mdl-33428624

ABSTRACT

BACKGROUND: The COVID-19 epidemic in the United States is widespread, with more than 200,000 deaths reported as of September 23, 2020. While ecological studies show higher burdens of COVID-19 mortality in areas with higher rates of poverty, little is known about social determinants of COVID-19 mortality at the individual level. METHODS AND FINDINGS: We estimated the proportions of COVID-19 deaths by age, sex, race/ethnicity, and comorbid conditions using their reported univariate proportions among COVID-19 deaths and correlations among these variables in the general population from the 2017-2018 National Health and Nutrition Examination Survey (NHANES). We used these proportions to randomly sample individuals from NHANES. We analyzed the distributions of COVID-19 deaths by race/ethnicity, income, education level, and veteran status. We analyzed the association of these characteristics with mortality by logistic regression. Summary demographics of deaths include mean age 71.6 years, 45.9% female, and 45.1% non-Hispanic white. We found that disproportionate deaths occurred among individuals with nonwhite race/ethnicity (54.8% of deaths, 95% CI 49.0%-59.6%, p < 0.001), individuals with income below the median (67.5%, 95% CI 63.4%-71.5%, p < 0.001), individuals with less than a high school level of education (25.6%, 95% CI 23.4% -27.9%, p < 0.001), and veterans (19.5%, 95% CI 15.8%-23.4%, p < 0.001). Except for veteran status, these characteristics are significantly associated with COVID-19 mortality in multiple logistic regression. Limitations include the lack of institutionalized people in the sample (e.g., nursing home residents and incarcerated persons), the need to use comorbidity data collected from outside the US, and the assumption of the same correlations among variables for the noninstitutionalized population and COVID-19 decedents. CONCLUSIONS: Substantial inequalities in COVID-19 mortality are likely, with disproportionate burdens falling on those who are of racial/ethnic minorities, are poor, have less education, and are veterans. Healthcare systems must ensure adequate access to these groups. Public health measures should specifically reach these groups, and data on social determinants should be systematically collected from people with COVID-19.


Subject(s)
COVID-19/mortality , Healthcare Disparities/standards , Public Health , Social Determinants of Health/statistics & numerical data , Socioeconomic Factors , Aged , Comorbidity , Ethnicity/statistics & numerical data , Female , Health Services Needs and Demand , Humans , Male , Mortality , Public Health/methods , Public Health/standards , Quality Improvement/organization & administration , SARS-CoV-2/isolation & purification , United States , Veterans Health/statistics & numerical data
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