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1.
Public Health Rep ; : 333549221085240, 2022 Apr 09.
Article in English | MEDLINE | ID: covidwho-2302818

ABSTRACT

Suicide rates among veterans are higher than those of the general US population. Although veterans compose only 7.6% of the US population, nearly 14% of American adult suicides are among veterans. The rate of suicide is 1.5 times higher among all veterans and 2.1 times higher among female veterans compared with the general population. Only 47% of all veterans are enrolled in the US Department of Veterans Affairs (VA) Healthcare System, leaving a large number either not receiving health care or receiving it outside the VA. Recent legislation has improved access to care for veterans outside the VA, highlighting the need for a broad public health approach to address veteran suicide and the need for all health care institutions and clinicians to be familiar with the unique health concerns in this population. The purpose of this narrative review was to summarize the risk factors contributing to veteran suicide and to provide guidance on how to assess and mitigate these risks. Suicide is preventable through recognition of risk and prompt intervention. Health care providers both inside and outside the VA system are uniquely situated at the intersection of the many contributing factors to veteran suicide and should have a structured, proactive approach to address the problem.

2.
J Gen Intern Med ; 37(4): 954-957, 2022 03.
Article in English | MEDLINE | ID: covidwho-1729387

ABSTRACT

BACKGROUND: The COVID-19 pandemic, and vaccine hesitancy, pose a significant public health threat. The Veterans Health Administration system is uniquely situated to provide insights into the implementation of a population health approach to vaccine acceptance. AIM: We describe the VA Connecticut Healthcare System's (VACHS) quality improvement project to improve rates of vaccine uptake. SETTING AND PARTICIPANTS: VACHS consists of eight primary care sites with 80 primary care providers delivering care to 47,000 enrolled veterans. PROGRAM DESCRIPTION: Our program involved identification of a local champion, education sessions, development of vaccine acceptance tools (including the templated "COVID-19 Prevention Letter" and the "COVID-19 Prevention Telephone Note"), and application of a population health approach (use of a prioritization scheme and playbook) by primary care patient-aligned care (PACT) medical home teams. PROGRAM EVALUATION: We found increased rates of vaccination at VACT compared to the surrounding region 6 months after implementation (65.16% vs 61.89%). Use of vaccine acceptance tools were associated with a statistically significant increase in vaccination (24.1% vs 13.6%, P = 0.036) in unvaccinated veterans. DISCUSSION: A population health approach to vaccine acceptance using EHR-based tools can impact vaccination rates, and this approach may be of practical utility to other large healthcare systems with EHR.


Subject(s)
COVID-19 , Population Health , COVID-19/prevention & control , COVID-19 Vaccines/therapeutic use , Delivery of Health Care , Humans , Pandemics , SARS-CoV-2 , Vaccination
3.
Fed Pract ; 38(9): 402-405, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1503681

ABSTRACT

BACKGROUND: The COVID-19 pandemic has forced a shift from in-person to virtual care to reduce exposure risks to patients and health care workers. This report aims to describe a large primary care system's implementation of virtual respiratory urgent care clinics (VRUCs). METHODS: The VA Connecticut Healthcare System (VACHS) delivers care to more than 58,000 veterans in at 8 primary care sites. VRUCs were established as part of the VACHS primary care rapid transition to virtual care model. Retrospective analysis and qualitative chart reviews were performed from February 2020 through May 2020 to describe characteristics of patients who received care through the VRUCs. RESULTS: VRUCs were used by > 445 patients, 51% received COVID-19 testing, 10% tested positive, 5% were admitted to the hospital, and 18% had ≥ 1 subsequent emergency department visits. Chart documentation rates of discussion of isolation precautions, high occupational risk, and goals of care were 71%, 25%, and 14%, respectively. CONCLUSIONS: Average wait time for health care provider evaluation was 104 minutes, suggesting VRUCs are an expedient means to provide assessment of COVID-19 symptoms. Use of templated notes may ensure routine counseling about isolation, occupation, and goals of care.

4.
J Gen Intern Med ; 35(10): 3073-3076, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-671647

ABSTRACT

INTRODUCTION: Traditionally, health care delivery in the USA has been structured around in-person visits. The COVID-19 pandemic has forced a shift to virtual care models in order to reduce patient exposure to high-risk environments and to preserve valuable health care resources. This report describes one large primary care system's model for rapid transition to virtual care (RTVC). SETTING AND PARTICIPANTS: A RTVC model was implemented at the VA Connecticut Health Care System (VACHS), which delivers care to over 58,000 veterans. PROGRAM DESCRIPTION: The RTVC model included immediate virtual care conversion, telework expansion, implementation of virtual respiratory urgent care clinics, and development of standardized note templates. PROGRAM EVALUATION: Outcomes include the rates of primary encounter types, staff teleworking, and utilization of virtual respiratory urgent care clinics. In under 2 weeks, most encounters were transitioned from in-person to virtual care, enabling telework for over half of the medical staff. The majority of virtual visits were telephone encounters, though rates of video visits increased nearly 18-fold. DISCUSSION: The RTVC model demonstrates expeditious and sustained transition to virtual care during the COVID-19 pandemic. Our experiences help inform institutions still reliant on traditional in-person visits, and future pandemic response.


Subject(s)
Coronavirus Infections/therapy , Pneumonia, Viral/therapy , Primary Health Care/organization & administration , Telemedicine/organization & administration , Betacoronavirus , COVID-19 , Connecticut/epidemiology , Coronavirus Infections/epidemiology , Humans , Pandemics , Pneumonia, Viral/epidemiology , Program Evaluation , SARS-CoV-2 , Telemedicine/statistics & numerical data , United States/epidemiology , United States Department of Veterans Affairs , Veterans/statistics & numerical data
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