83 research outputs found

    Nursing Home Referrals within the Veterans Health Administration: Variation by Site and Payment for Care

    Get PDF
    Background: Veterans may receive Veterans Health Administration (VHA)-paid nursing home (NH) care in VHA Community Living Centers (CLCs), state veterans homes (SVHs), or community NHs; Veterans Affairs Medical Centers (VAMCs) must provide VHA-paid NH care to highly service connected (mandatory) Veterans; VAMCs have discretion to provide VHA-paid care to other Veterans, if resources allow. Study Objective: To examine how Veterans’ eligibility for different types of payment sources—VHA, Medicare, Medicaid, other—informs NH referral within the VHA

    Activity of Daily Living Trajectories Surrounding Acute Hospitalization of Long‐Stay Nursing Home Residents

    Full text link
    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/101804/1/jgs12511.pd

    Palliative Care Consultations in Nursing Homes and Reductions in Acute Care Use and Potentially Burdensome End-of-Life Transitions

    Get PDF
    To evaluate how receipt and timing of nursing home (NH) palliative care consults (primarily by nurse practitioners with palliative care expertise) is associated with end-of-life care transitions and acute care us

    Changes in Hospitalization Associated with Introducing the Resident Assessment Instrument

    Full text link
    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111190/1/j.1532-5415.1997.tb02973.x.pd

    Palliative Care Consultations in Nursing Homes and End-of-Life Hospitalizations

    Get PDF
    While specialty palliative care in hospital and outpatient settings is associated with lower acute care use, its impact in U.S. nursing homes (NHs) is unknown

    Clinical use of photobiomodulation for the prevention and treatment of oral mucositis: the real-life experience of MASCC/ISOO members

    Get PDF
    AimTo assess clinical use and patient outcome of photobiomodulation (PBM) for oral mucositis (OM) prevention and treatment among specialized practitioners.MethodsA poll was emailed to the members of the Mucositis Study Group of MASCC/ISOO. The PBM parameters used by the respondents were analyzed using exploratory statistical methods to identify combinations of PBM parameters (patterns) that characterize the variance in the protocols (principal component analysis).ResultsResponses were received from 101 MSG members, with 78 providing analyzable data. Most of the responders were dental practitioners or oral medicine specialists. PBM was used by 59% of the responders for OM or targeted therapy stomatitis. Technical parameters varied widely. Most responders used wavelengths & SIM;650 nm intra-orally. The spot-size and distance from the tissue were the main factors driving the variation. All PBM users noted that PBM relieved pain, either immediately or a delayed effect. High likelihood of pain relief (measured as responder's report of pain relief in 67-100% of patients) was reported by 22% and 19% of PBM users for immediate pain relief and delayed pain relief, respectively. The most common reported barriers to using PBM were financial considerations, time constraints, lack of training or experience and concern about the potential for malignant transformation or increased risk of cancer recurrence.ConclusionsThe use of PBM for OM prevention or treatment is in early phases of adoption in practices, facing some obstacles to implement it. A wide variation in technical parameters was found. Nonetheless, responses indicate that PBM provided pain relief

    What Is the Additive Value of Nutritional Deficiency to Va-Fi in the Risk Assessment For Heart Failure Patients?

    Get PDF
    OBJECTIVES: to assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure. METHODS: A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≄50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≀43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≀0.1), prefrail (0.1-0.2), and frail (\u3e0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32 RESULTS: We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m CONCLUSION: Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF

    Medical Staff Organization in Nursing Homes: Scale Development and Validation

    Get PDF
    PURPOSE: To construct a multidimensional self-report scale to measure nursing home (NH) medical staff organization (NHMSO) dimensions and then pilot the scale using a national survey of medical directors to provide data on its psychometric properties. DESIGN AND METHODS: Instrument development process consisting of the proceedings from the Nursing Home Physician Workforce Conference and focus groups followed by cognitive interviews, which culminated in a survey of a random sample of American Medical Directors Association (AMDA) affiliated medical directors. Analyses were conducted on surveys matched to Online Survey Certification and Reporting (OSCAR) data from freestanding nonpediatric nursing homes. A total of 202 surveys were available for analysis and comprised the final sample. RESULTS: Dimensions were identified that measured the extent of medical staff organization in nursing homes and included staff composition, appointment process, commitment (physiciancohesion; leadership turnover/capability), departmentalization (physician supervision, autonomy and interdisciplinary involvement), documentation, and informal dynamics. The items developed to measure each dimension were reliable (Cronbach's alpha ranged from 0.81 to 0.65).Intercorrelations among the scale dimensions provided preliminary evidence of the construct validity of the scale. IMPLICATIONS: This report, for the first time ever, defines and validates NH medical staff organization dimensions, a critical first step in determining the relationship between physician practice and the quality of care delivered in the NH

    Implementing goals of care conversations with veterans in VA long-term care setting: a mixed methods protocol

    Get PDF
    Abstract Background The program “Implementing Goals of Care Conversations with Veterans in VA LTC Settings” is proposed in partnership with the US Veterans Health Administration (VA) National Center for Ethics in Health Care and the Geriatrics and Extended Care Program Offices, together with the VA Office of Nursing Services. The three projects in this program are designed to support a new system-wide mandate requiring providers to conduct and systematically record conversations with veterans about their preferences for care, particularly life-sustaining treatments. These treatments include cardiac resuscitation, mechanical ventilation, and other forms of life support. However, veteran preferences for care go beyond whether or not they receive life-sustaining treatments to include issues such as whether or not they want to be hospitalized if they are acutely ill, and what kinds of comfort care they would like to receive. Methods Three projects, all focused on improving the provision of veteran-centered care, are proposed. The projects will be conducted in Community Living Centers (VA-owned nursing homes) and VA Home-Based Primary Care programs in five regional networks in the Veterans Health Administration. In all the projects, we will use data from context and barrier and facilitator assessments to design feedback reports for staff to help them understand how well they are meeting the requirement to have conversations with veterans about their preferences and to document them appropriately. We will also use learning collaboratives—meetings in which staff teams come together and problem-solve issues they encounter in how to get veterans’ preferences expressed and documented, and acted on—to support action planning to improve performance. Discussion We will use data over time to track implementation success, measured as the proportions of veterans in Community Living Centers (CLCs) and Home-Based Primary Care (HBPC) who have a documented goals of care conversation soon after admission. We will work with our operational partners to spread approaches that work throughout the Veterans Health Administration.http://deepblue.lib.umich.edu/bitstream/2027.42/134645/1/13012_2016_Article_497.pd
    • 

    corecore