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1.
Geriatr Nurs ; 46: 105-111, 2022.
Article in English | MEDLINE | ID: covidwho-1866204

ABSTRACT

BACKGROUND: Predicting older patients' life expectancy is an important yet challenging task. Hospital aged care assessment teams advise treating teams on older patients' type and place of care, directly affecting quality of care. Yet, little is known about their experiences with prognostication. METHODS: Twenty semi-structured interviews were conducted with seven geriatricians/ registrars, ten nurses and three allied health staff from aged care assessment teams across two hospitals in Melbourne, Australia. Data were analysed thematically. RESULTS: To generate prognoses, clinicians used analytical thinking, intuition, assessments from others, and pattern matching. Prognostic tools were an underutilised resource. Barriers to recognition of dying included: diffusion of responsibility regarding whose role it is to identify patients at end-of-life; lack of feedback about whether a prognosis was correct; system pressures to pursue active treatment and vacate beds; avoidance of end-of-life discussions; lack of confidence, knowledge and training in prognostication and pandemic-related challenges.


Subject(s)
Struthioniformes , Aged , Animals , Death , Hospitals , Humans , Prognosis , Qualitative Research
2.
Intern Med J ; 52(3): 386-395, 2022 03.
Article in English | MEDLINE | ID: covidwho-1522724

ABSTRACT

BACKGROUND: The COVID-19 pandemic has significantly impacted those in residential aged care facilities (RACF). This research was undertaken to explore and better understand the effects of the pandemic on the experience of next-of-kin and carers who encountered the death of a loved one who resided within a RACF during the pandemic. AIMS: To explore end-of-life experiences for residents who die in RACF and their next-of-kin/carers during the COVID-19 pandemic, to identify areas of concern and areas for improvement. METHODS: Prospective single-centre mixed methods research was undertaken involving telephone interview with next-of-kin or carers of residents who died within 30 days of being referred to Austin Health Residential InReach Service during the 'second wave' of COVID-19 in Melbourne, Australia, in 2020. Qualitative and quantitative data were collected. Qualitative description and aspects of grounded theory were used for analysing qualitative data. Thematic analysis of the interview transcripts used open and axial coding to identify initial themes and then to group these under major themes. RESULTS: Forty-one telephone interviews were analysed. Major themes identified included: COVID-19 pandemic, communication and technology, death and dying experience, bereavement and grief, and social supports and external systems. CONCLUSIONS: Findings identify the many COVID-19 pandemic-related challenges faced by participants and their dying loved one in RACF. Access to palliative care and bereavement support is crucial for dying residents and for grieving that has been made more difficult by the pandemic.


Subject(s)
COVID-19 , Pandemics , Aged , Australia/epidemiology , COVID-19/epidemiology , Death , Humans , Prospective Studies , SARS-CoV-2
3.
J Clin Nurs ; 30(11-12): 1564-1572, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1069408

ABSTRACT

AIMS AND OBJECTIVES: Our objective was to rapidly adapt and scale a registered nurse-driven Coordinated Transitional Care (C-TraC) programme to provide intensive home monitoring and optimise care for outpatient Veterans with COVID-19 in a large urban Unites States healthcare system. BACKGROUND: Our diffuse primary care network had no existing model of care by which to provide coordinated result tracking and monitoring of outpatients with COVID-19. DESIGN: Quality improvement implementation project. METHODS: We used the Replicating Effective Programs model to guide implementation, iterative Plan-Do-Study-Act cycles and SQUIRE reporting guidelines. Two transitional care registered nurses, and a geriatrician medical director developed a protocol that included detailed initial assessment, overnight delivery of monitoring equipment and phone-based follow-up tailored to risk level and symptom severity. We tripled programme capacity in time for the surge of cases by training Primary Care registered nurses. RESULTS: Between 23 March and 15 May 2020, 120 Veterans with COVID-19 were enrolled for outpatient monitoring; over one-third were aged 65 years or older, and 70% had medical conditions associated with poor COVID-19 outcomes. All Veterans received an initial call within a few hours of the laboratory reporting positive results. The mean length of follow-up was 8.1 days, with an average of 4.2 nurse and 1.3 physician or advanced practice clinician contacts per patient. The majority (85%) were managed entirely in the outpatient setting. After the surge, the model was disseminated to individual primary care teams through educational sessions. CONCLUSION: A model based on experienced registered nurses can provide comprehensive, effective and sustainable outpatient monitoring to high-risk populations with COVID-19.


Subject(s)
COVID-19 , Transitional Care , Humans , Outpatients , Quality Improvement , SARS-CoV-2
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