| Literature DB >> 34894772 |
Michael Connolly1,2, Mary Bell2, Fiona Lawler2, Fiona Timmins3, Mary Ryder4.
Abstract
Aim: To identify the nature of the evidence reporting hospital-based palliative and end-of-life care during the COVID-19 pandemic. Background: The COVID-19 pandemic has seen an increase in the numbers of seriously ill people being cared for across all health services worldwide. Due to the rapid progression of severe symptoms, the majority of staff working in hospitals and other healthcare centres were providing end-of-life care. Little is known about the level of hospital-based palliative care service provided during the COVID-19 pandemic, particularly during surges in admission rates with an increased number of deaths accruing.Entities:
Mesh:
Year: 2021 PMID: 34894772 PMCID: PMC9386368 DOI: 10.1177/10499091211057049
Source DB: PubMed Journal: Am J Hosp Palliat Care ISSN: 1049-9091 Impact factor: 2.090
Inclusion and Exclusion Criteria.
| PCC category | Inclusion criteria | Exclusion criteria |
|---|---|---|
| Population | Hospital-based palliative care COVID-19 pandemic patients, staff and relatives | Non–hospital-based palliative care in non-hospital COVID-19 pandemic |
| Concept | Palliative care | Not hospital based |
| End-of-life care | COVID-19 pandemic not mentioned | |
| Context | COVID-19 pandemic | Palliative care not mentioned |
| Hospital based |
Figure 1.PRISMA statement.
Data Extraction.
| Author, Year | Country | Journal | Aim | Population | Methodology | Key findings |
| Alderman et al,2020
| UK | Palliative Medicine | To assess the utility of the effectiveness of standardised end-of-life care treatment algorithms in dying patients with COVID-19 | 61 patients | Audit-data extraction from end-of-life care plan | • Patients dying from COVID-19 experience similar end-of-life problems to other groups of patients |
| • COVID-19 patients respond to standard interventions for these end-of-life problems | ||||||
| • Cumulative number of patients experiencing shortness of breath, agitation and audible respiratory secretions increased over the last 72 hours of life-most patients symptom free at death | ||||||
| Anneser, 2020
| Germany | Palliative and Supportive Care | To identify the challenges and difficulties while caring for COVID-19 positive palliative patients in a non-ICU setting | 1 patient | Case study | • Patient expressed distress at having no visitors |
| • Patient was profoundly lonely | ||||||
| Arya et al, 2020
| Canada | CMAJ | To review the challenges involved in providing palliative care in a pandemic | N/A | Discussion | • In a pandemic, patient autonomy for end-of-life choices may be severely restricted due to public health guidelines and resource |
| • Suggested Triage tool for referral to specialist PC | ||||||
| Chidiac et al,2020
| UK | Palliative Medicine | To evaluate the impact of COVID-19 on symptoms, clinical characteristics and outcomes for patients referred to a hospital-based palliative care service in a district general hospital | Compared 60 patients with COVID to 61 patients without COVID | Retrospective service evaluation. Data were extracted from the electronic patient records | • Lower comorbidity scores, poorer performance status + shorter time from referral to death for patients with COVID-19 |
| • Breathlessness, drowsiness, agitation, fever and use of s/c infusions had higher prevalence during COVID-19 | ||||||
| • BAME patients referred later to PC during COVID-19 | ||||||
| • Women from ethnic minority group referred later | ||||||
| • Many patients referred for symptom control instead of terminal care-Need education on recognising dying for HCP | ||||||
| Cook et al,2020
| Canada | Annals of Internal Medicine | To understand clinician perspectives on adaptations to end-of-life care for dying patients and their families during the pandemic | 45 dying patients, 45 relatives, 45 clinicians | Mixed methods embedded study | • Clinicians gathered 236 final wishes from patients and family-234 wishes were implemented |
| • Clinicians: bigger effort to learn about pts; conducted acts of compassion; took on advocacy roles as the family not there due to restrictions; set up new ways of connecting with pts and relatives; prevent unmarked deaths | ||||||
| • Clinicians reported moral distress with changing visiting policies | ||||||
| • The need for clinicians to be aware of what they say and how they say it | ||||||
| • IPC policies have implications for professional well-being-need to have feasible, context specific supports for frontline staff | ||||||
| Fausto et al,2020
| USA | Journal of Pain and Symptom Management | To implement a palliative care response plan for a multihospital health care system that incorporates conventional capacity, contingency capacity and crisis capacity | N/A | Development of a strategy document | • Document that outlines the high quality PC needed under conventional capacity, contingency capacity and crisis capacity |
| • 5 considerations | ||||||
| • Redeployment of specialist PC staff | ||||||
| • Use PPE only when absolutely necessary | ||||||
| • PC support outside routine hours | ||||||
| • Routine PC consultation triaged and postponed where possible | ||||||
| • Early goals of care are essential | ||||||
| • 24 hr Phone support | ||||||
| • In crisis capacity create an End-of-life care unit | ||||||
| Fiorentino et al, 2020
| USA | Palliative Medicine | To evaluate whether preadmission Palliative Performance Scale predicts mortality in hospitalised patients with COVID-19 | 334 patients | Retrospective observational cohort study of patients admitted with COVID-19 | • Frailty was independently predictive of mortality in pts admitted with COVID-19 |
| • Low PPS found in older, mainly black with more comorbidities | ||||||
| • Age and Charlson comorbidity index (CCI) did not independently predict mortality | ||||||
| • Hospitalised pts = overall 31% mortality, 81% mortality for intubated pts | ||||||
| • If clinicians understand mortality risk, can discuss prognosis and give appropriate PC to pts | ||||||
| Fox et al,2021
| Australia | Qualitative Social work | To discuss bereavement support and the facilitation of viewings as clinical areas in which hospital social work has been observed adapting practice creatively throughout the pandemic | N/A Social workers and their role | Discussion | • Change in practice by social workers during the pandemic to assist the bereavement process |
| • Bereavement support | ||||||
| • Facilitation of viewings of deceased patients | ||||||
| Gelfman et al,2020
| USA | Journal of Palliative Medicine | To describe the rapid expansion and creation of a new speciality care services across a health system to meet demands of the COVID-19 surge in New York city | 1019 patients | Discussion | • Rapid expansion and creation of a new speciality PC service to address the pandemic demands |
| • Increased staffing | ||||||
| • 24 hour telephone service | ||||||
| • Extended PC service to ED, ICU and hospital medical units | ||||||
| • New tailored communication programme | ||||||
| • COVID-specific electronic medical record template | ||||||
| • PCU structural adaptation | ||||||
| Hetherington et al,2020
| UK | Palliative Medicine | To characterise the symptom profile, symptom management requirements and outcomes of hospitalised COVID-19 positive patients referred for palliative care and to contextualise PC demands from COVID-19 against a typical caseload | 186 patients | Service evaluation based on a retrospective cohort review of patient records | • 186 pts referred to hospital PC with COVID-19 |
| • Most common comorbidities: Hypertension (31.2%); Diabetes Mellitus (28%); COPD (26.9%) | ||||||
| • No referrals for PC from ICU | ||||||
| • Dyspnoea and agitation most prevalent symptoms | ||||||
| • COVID Pts referred to PC have shorter dying phase-2 days vs 5 days for pts with no COVID-higher death rate | ||||||
| • Symptoms can be controlled in most cases with standard doses of opioids and benzodiazepines | ||||||
| • 75% on SC infusions=effective in 78% of pts | ||||||
| Lopez et al, 2021
| USA | Journal of Pain and Symptom Management | To describe the characteristics, consultation demands, patients’ needs and outcomes of hospitalised patients with COVID-19 who received a palliative care evaluation | 376 patients | Retrospective chart review | • Overall new consults significantly increased and especially in ICU |
| • Median age = 78 | ||||||
| • 75% referrals to PC for goals of care, advanced care planning | ||||||
| • 9.6% for symptoms | ||||||
| • 7.1% had documented ACDs | ||||||
| • 69.7% became DNR | ||||||
| • Of all deaths, 55.5% in ICU and 87.2% were <65 | ||||||
| • Minority pts had disproportionate death rate | ||||||
| • Overall consultation mortality significantly increased compared to pre-COVID | ||||||
| Lovell et al, 2020
| UK | Journal of Pain and Symptom Management | To describe the symptom burden, management response to treatment and outcomes for patients with COVID-19 referred to the palliative care teams in 2 large NHS hospital trusts | 101 patients 76 admitted with covid | Descriptive Data extracted from case notes = Retrospective chart review? | • Patients spent a median (IQR] of 2 days under PC team and received 3 contacts |
| • Most prevalent symptoms included: Breathlessness (n = 76), agitation (n = 43), drowsiness (n = 36), pain (n = 23) | ||||||
| • 58 prescribed CSCI | ||||||
| • n = 95 received ward based care and 6 in high dependency or ICU | ||||||
| • Death (n =75) | ||||||
| • Discharged back to team, home or hospice (n = 13) | ||||||
| • Continued to receive inpatient PC (n = 13) | ||||||
| • Infusions assessed as partially effective for 40/58, while 13 pts died before review | ||||||
| Moriyama et al, 2021
| USA | Journal of Pain and Symptom Management | To describe a palliative care population at 1 New York hospital system during the initial pandemic surge | 678 patients =pre-COVID group | Cross-sectional, observational study. | • PC service volume surged from 678 (4% of total admissions) pre-Covid to 1071 (10% of total admissions during initial outbreak |
| • PC teams completed 59% (n = 1081)increase in admissions compared to pre-Covid admissions | ||||||
| • 64.9% (n = 695) of total PC pts tested positive for COVID | ||||||
| Compares pre-Covid group (Jan 4th-Feb 28th, 2020) to during Covid group (Mar 5th-30th April) | ||||||
| • Patients with COVID had greater prevalence of | ||||||
| • Obesity | ||||||
| • Diabetes | ||||||
| All data were extracted from charts | • ICU admissions (58.9% vs 33.9%; P<.01) | |||||
| • In-hospital mortality (57.4% vs 13.1%; P<.01) | ||||||
| • Males (60.7% vs 48.6%, P<.01) | ||||||
| • Latino patients (21.3% vs 13.3%,P<.01) | ||||||
| • Increased odds of mortality in PC patients (odds ratio = 3.21,95% CI = 2.43-4.24) and those admitted to ICU (odds ratio = 1.45, 95%CI = 1.11-1.9) | ||||||
| • Patients with COVID had lower rates of | ||||||
| • End-stage organ disease | ||||||
| • Cancers | ||||||
| Mumoli et al,2020
| Italy | International Journal of Infectious Disease | To describe the role of palliative care in the management of patients admitted with COVID-19 | 412 patients | Descriptive study recorded data regarding age, gender, length of stay, type of discharge | • 412 pts admitted to ward with COVID |
| • Mean age = 69 | ||||||
| • 23.3% (n = 96) died in hospital | ||||||
| • 4.6% (n = 19) came from nursing homes | ||||||
| • Palliative Care Physician directly involved with 25.5% (n = 105) and conducted 236 consultations | ||||||
| • Of the 105, 63% (n = 66) died | ||||||
| • Reasons for consultations included: symptoms (54%) and end-of-life management (12%) | ||||||
| • Prevalent symptom: Restlessness/agitation (41%), emotional issues (26%) such as anxiety, fear and demoralisation | ||||||
| • Dyspnoea in 20% of cases | ||||||
| • Patients discharged alive or transferred to other facilities-median hospital stay = 12 days | ||||||
| • Average days in PC = 2.26 | ||||||
| • Palliative Care physician developed shared operational procedures in the following areas | ||||||
| • Criteria for when COVID pts to start PC treatment | ||||||
| • Shared decision-making process with other physicians | ||||||
| • Managed anxiety and stress regarding intolerance to respiratory devices | ||||||
| • Administered palliative sedation at end of life | ||||||
| • Communication with patients and families | ||||||
| • Chose medications and how to administer them | ||||||
| • Protected the self-determination of patients | ||||||
| • Defined 6 criteria for referral to PC | ||||||
| • MDT +PC met daily to discuss each patient with COVID | ||||||
| Selman et al, 2021
| UK | Journal of Pain and Symptom Management | To review bereavement risk factors in COVID-19 and provide evidence-based recommendations for clinicians on how to support bereaved relatives | N/A Staff | Discussion paper with recommendations of the organisational and systemic approaches needed to mitigate the impact on staff | • Provides evidence based recommendations and table of resources to assuage poor bereavement outcomes before and after a patient’s death for relatives and support staff |
| • Recommendations | ||||||
| • For relatives | ||||||
| • ACP | ||||||
| • Communication-sensitive, regular, and informative | ||||||
| • Enable family to say goodbye | ||||||
| • Provide excellent symptom management +emotion+spiritual support | ||||||
| • Provide/signpost bereavement services | ||||||
| • For staff | ||||||
| • Consistent leadership | ||||||
| • Resources, guidance + training | ||||||
| • Actively monitor frontline staff | ||||||
| • Professional sources of support made available | ||||||
| • Strategies to support teams day-to-day work | ||||||
| • Several risk factors for poor bereavement outcomes in COVID-19 | ||||||
| • Dying in an ICU | ||||||
| • Severe breathlessness | ||||||
| • Patient isolation or restricted access | ||||||
| • Significant patient and family emotional distress | ||||||
| • Disruption to relatives’ social support networks | ||||||
| • Risk of the impact of deaths on staff | ||||||
| • Secondary or vicarious trauma | ||||||
| • Moral injury | ||||||
| • Depression | ||||||
| • Anxiety | ||||||
| • Post-traumatic distress | ||||||
| Sheehan et al, 2020
| USA | BMJ Supportive and Palliative Care | To examine the utilisation rates of palliative care consultation in critically ill patients with COVID-19 pneumonia admitted to 2 ICUs in New York city | 151 ICU patients with confirmed COVID-19 pneumonia | Retrospective cohort study, data collected from the electronic health records | • Underutilisation of PC services in ICU |
| • PC delivery-shared decision-making, ACP, symptom management mainly conducted using telemedicine | ||||||
| • Identify patients at risk of poorer outcomes that would benefit from earlier PC consultation | ||||||
| • Of 39% (n = 59) received inpatient PC consultation, 16 received a one-time telemedicine consultation, 39 received continued telemedicine and follow-up +MDT involvement and 4 patients initially received one-time telemedicine followed by continued telemedicine | ||||||
| • 56.29% (n = 85/151) died-57.65% (n = 49/85) received PC during hospitalisation | ||||||
| • Those who died and received PC were: older, higher CCI and needed mechanical ventilation | ||||||
| • Of patients who died and did not receive PC were: younger, received no invasive ventilation support | ||||||
| • Propensity matching: PC consultation was associated with similar length of stay to patients who did not receive PC services | ||||||
| Turner et al, 2020
| UK | Journal of Pain and Symptom Management | To present a case series from audit data collected from an acute hospital trust specifically looking at the palliative care patients with COVID-19 received in a ward setting | 36 patients | An observational retrospective review using patients records | • Increased frailty and co-morbidities featured heavily with cohort of patients in this study |
| • Median age 81 | ||||||
| • Dying from COVID-19 is different | ||||||
| • Shorter average dying phase-38.25 hours vs 74 hours | ||||||
| • 3 different phenotypes of dying | ||||||
| • Fulminant COVID-19 | ||||||
| • Longer illness and slower death | ||||||
| • Long illness, stability and rapid death | ||||||
| Xu et al,
| USA | Journal of Palliative Medicine | To describe the dynamic palliative care needs during a public hospital’s COVID-19 surge, including a process to utilise nonpalliative care trained volunteers to meet the increased demand for inpatient palliative care consults | 12 volunteers joined PC team and saw 276 patients | Discussion paper | • Model to address surge |
| • 12 volunteers including 6 psychiatrists, 1 paediatrician, 5 internal medicine and 1 nurse practitioner | ||||||
| • One day training-shadowed a PC team member and given a manual | ||||||
| • PC team saw all patients with multiple organ failure | ||||||
| • Psychiatrists quickly used own skills in communication to support family and staff | ||||||
| • PC specialists focussed on more complex symptom needs of particular patients | ||||||
| • ICU staff too overwhelmed to request PC consults by phone or email | ||||||
| • PC team grew by 35% | ||||||
| • Changes to PC team structure to address surge | ||||||
| • Majority of consults were for goals of care and family support | ||||||
| • PC team supported frontline ICU staff who were working out of their comfort zone |