Skip to main content
BMJ - PMC COVID-19 Collection logoLink to BMJ - PMC COVID-19 Collection
. 2022 Jun 27;12(6):e062937. doi: 10.1136/bmjopen-2022-062937

Comparative end-of-life communication and support in hospitalised decedents before and during the COVID-19 pandemic: a retrospective regional cohort study in Ottawa, Canada

Peter Lawlor 1,2,3,, Henrique Parsons 2,3,4, Samantha Rose Adeli 5, Ella Besserer 6, Leila Cohen 3,7, Valérie Gratton 3,8, Rebekah Murphy 3,7, Grace Warmels 2,3,7, Adrianna Bruni 3,7, Monisha Kabir 1, Chelsea Noel 1,9, Brandon Heidinger 1, Koby Anderson 1, Kyle Arsenault-Mehta 10, Krista Wooller 2,4,11, Julie Lapenskie 1,2, Colleen Webber 1,2, Daniel Bedard 12, Paula Enright 2,3,4, Isabelle Desjardins 2,4,11, Khadija Bhimji 3,7, Claire Dyason 3,4, Akshai Iyengar 7,11, Shirley H Bush 1,2,3, Sarina Isenberg 1,3, Peter Tanuseputro 1,2,3, Brandi Vanderspank-Wright 2,13, James Downar 1,14
PMCID: PMC9237652  PMID: 35760548

Abstract

Objective

To compare end-of-life in-person family presence, patient–family communication and healthcare team–family communication encounters in hospitalised decedents before and during the COVID-19 pandemic.

Design

In a regional multicentre retrospective cohort study, electronic health record data were abstracted for a prepandemic group (pre-COVID) and two intrapandemic (March–August 2020, wave 1) groups, one COVID-19 free (COVID-ve) and one with COVID-19 infection (COVID+ve). Pre-COVID and COVID-ve groups were matched 2:1 (age, sex and care service) with the COVID+ve group.

Setting

One quaternary and two tertiary adult, acute care hospitals in Ottawa, Canada.

Participants

Decedents (n=425): COVID+ve (n=85), COVID-ve (n=170) and pre-COVID (n=170).

Main outcome measures

End-of-life (last 48 hours) in-person family presence and virtual (video) patient–family communication, and end-of-life (last 5 days) virtual team–family communication encounter occurrences were examined using logistic regression with ORs and 95% CIs. End-of-life (last 5 days) rates of in-person and telephone team–family communication encounters were examined using mixed-effects negative binomial models with incidence rate ratios (IRRs) and 95% CIs.

Results

End-of-life in-person family presence decreased progressively across pre-COVID (90.6%), COVID-ve (79.4%) and COVID+ve (47.1%) groups: adjusted ORs=0.38 (0.2–0.73) and 0.09 (0.04–0.17) for COVID-ve and COVID+ve groups, respectively. COVID-ve and COVID+ve groups had reduced in-person but increased telephone team–family communication encounters: IRRs=0.76 (0.64–0.9) and 0.61 (0.47–0.79) for in-person, and IRRs=2.6 (2.1–3.3) and 4.8 (3.7–6.1) for telephone communications, respectively. Virtual team–family communication encounters occurred in 17/85 (20%) and 10/170 (5.9%) of the COVID+ve and COVID-ve groups, respectively: adjusted OR=3.68 (1.51–8.95).

Conclusions

In hospitalised COVID-19 pandemic wave 1 decedents, in-person family presence and in-person team–family communication encounters decreased at end of life, particularly in the COVID+ve group; virtual modalities were adopted for communication, and telephone use increased in team–family communication encounters. The implications of these communication changes for the patient, family and healthcare team warrant further study.

Keywords: COVID-19, general medicine (see internal medicine), quality in health care, adult intensive & critical care, adult palliative care, geriatric medicine


Strengths and limitations of this study.

  • There were no missing data in a decedent cohort that was representative of the source population in all adult acute care hospitals in a large urban region.

  • Although cohort groups were effectively matched on the basis of age, sex and care service, other baseline differences could have existed between the groups.

  • In data abstraction, we cannot exclude the possibility of misclassification bias, which could have occurred despite rigorous training and data accuracy checks; the absence of abstractor blinding in relation to the study hypothesis was also a potential source of bias.

  • The retrospective nature of the study and the absence of a qualitative assessment to assess the depth and more detailed content of communication during encounters are acknowledged limitations.

  • The generalisability of our study findings is largely limited to end-of-life care for hospitalised decedents, whereas many of the COVID-19 pandemic related deaths occurred in nursing homes.

Introduction

COVID-19 emerged in late 2019 and became a global pandemic within 3 months.1 2 COVID-19 infection is associated with high rates of hospitalisation, intensive care unit (ICU) admission and increased mortality, particularly in older people, the frail and those with chronic medical conditions.3–5 These metrics underscore the need to integrate a palliative approach that includes shared decision making, sensitive goals of care discussions respecting patient and family preferences, and meeting the psychosocial and spiritual needs of patients and their families facing a life-threatening illness.6–8 Communication involving the patient, family and healthcare team triad, particularly in-person, is an integrative component of a proactive palliative approach in non-pandemic times8 and highly valued by family members in their subsequent bereavement.9–11 Moreover, in-person communication is a fundamental human need, and inability to say goodbye prior to death of a loved one has been identified as a predictor of complicated grief in bereavement.12

The pandemic associated increase in end-of-life care communicative needs has been further compounded by the introduction of strict infection control measures, including visitor restriction and patient isolation policies for hospitalised patients.13–15 Although mandated from a public health perspective, these measures pose obstacles to end-of-life communication.11 13 16

Studies specifically examining end-of-life communication issues during the COVID-19 pandemic have, to date, been mostly qualitative and relatively limited in quantifying these phenomena, or were restricted in focus, such as resuscitation status,17 18 or reliant on voluntary reporting.19 20 To address these gaps, we retrospectively examined end-of-life care in relation to the COVID-19 pandemic in adult acute care hospitals in an urban region. We hypothesised that the pandemic-related visitor and isolation restrictions imposed in these hospitals were associated with a reduced number of in-person, face-to-face, healthcare team–family and family–patient communications and an increase in alternative communication modalities, such as teleconferencing or virtual (video) conferencing. The primary study objective was to examine the impact of COVID-19 status on patient–family and healthcare team–family communication encounters during end-of-life care. We compared those dying prepandemically versus those dying during wave 1 of the pandemic, due to recorded COVID-19 infection itself versus other causes, without COVID-19 infection. Comparative allied health involvement, palliative medicine consultation and resuscitation order status were examined as additional objectives.

Methods

Study design

We conducted a multicentre retrospective matched cohort study of decedents’ documented end-of-life care in adult acute tertiary or quaternary care hospitals. The study is reported in accordance with the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) criteria.21

Setting

The source population consisted of inpatients in Ottawa (population 1.4 million), Canada, who died in the city’s three adult acute care hospital sites between 1 November 2019 and 31 August 2020. Site 1, The Ottawa Hospital, is a quaternary acute care hospital with 1271 inpatient beds. Site 2, The Hôpital Montfort, is a tertiary acute care francophone academic hospital with 289 inpatient beds. Site 3, The Queensway-Carleton Hospital, is a tertiary acute care hospital with 264 inpatient beds. All sites used established electronic health records (EHR) systems, Epic (Epic Systems Corporation) at site 1 and MEDITECH (Medical Information Technology, Inc) at sites 2 and 3, for documentation of patient care and encounters with family.

Approximately 2487 people were diagnosed with COVID-19 in Ottawa between 1 March and 31 August 2020, of whom 266 died, including 85 in acute care hospitals.22 Public health measures and restrictions were applied throughout Ontario, including in acute care hospitals, in early March 2020, and remained largely in place until the end of the study period.

The study’s key exposures related to COVID-19 infection status during decedents’ hospital admission and the timing of the admission in relation to the pandemic. Based on these exposures, three study groups were designated: a pre-COVID group who died prior to the COVID-19 pandemic (deaths occurring between 1 November 2019 and 29 February 2020) and two groups whose deaths occurred within the initial, wave 1 of the pandemic (1 March 2020–31 August 2020), one without any record of COVID-19 during their hospital admission and the other who died of COVID-19 infection, designated COVID-ve and COVID+ve, respectively.

Participants

Adult (≥18 years old) decedents were eligible for inclusion if they died in ICU or under the care of a medical service in the study period. Emergency department decedents and those primarily under surgical care were excluded. The index study group was COVID+ve; all (n=85) of these decedents were included. The pre-COVID (n=170) and COVID-ve (n=170) group members were matched 2:1 with the COVID+ve members from each site on the basis of age (±5 years), sex and care service (medicine or ICU) at the time of death.

Data sources/measurement

Using a common electronic study database across sites, anonymised EHR data, including study variables, were abstracted by teams of internal/palliative medicine physicians and two research assistants. All abstractors received training regarding abstraction requirements. Of all patient records, 154 (35%) underwent duplicate abstraction to confirm accuracy of details.

Variables

Study group designation was based on EHR documentation of COVID-19 infection status, date of death and death certification. Demographic variables included age, sex, admission referral source, acute care site, care service at death and admission duration (days). The association of these variables was examined in relation to the occurrence of patient–family and healthcare team–family communicative encounters. Admission duration was included as a potential confounder, as decedents were not matched on this criterion. Clustering in association with either location or actual presence of family in the last 48 hours was anticipated and adjusted for in multivariable analyses.

Documented family–patient communicative interactions involving physical presence and virtual presence in the last 48 hours of life, were each recorded as outcomes and each treated as binary (yes/no) variables. The outcomes of documented healthcare team (physician, nursing and allied health)–family interactive encounters (physical presence, telephone conversations and virtual presence) in the last 5 days of life were each recorded as a total count, based on individual note entries in the EHR. As an implicit measure of quality end-of-life care across our study sites, and for legal reasons, any family–healthcare team communication, irrespective of modality, that involves patient care decisions would be expected to be recorded in the EHR. In the absence of family, the decedent’s substitute decision maker was included within the category of family. The involvement of allied health professionals, palliative medicine consultation and the documented presence of a no cardiopulmonary resuscitation (CPR) order were recorded as binary variables and represented additional indices of end-of-life communication and support.

Patient and public involvement

The retrospectively acquired decedent data in this study are part of an overall project that involves an ongoing prospective evaluation of grief in decedents’ bereaved family members. Although there was no direct patient or public involvement in the retrospective component of the project, we engaged with three different knowledge user organisations (Bereaved Families of Ontario, Canadian Virtual Hospice and Champlain Hospice Palliative Care Program), whose representatives collaborated with the study planning team and were coapplicants in funding applications for the overall project.

Bias

Data abstractors were not blinded as to the study objectives and consequently misclassification bias cannot be ruled out. Matching variables were included a priori in multivariable models of the main outcomes.

Study size

The sample size was determined by the inclusion of all wave 1 deaths due to COVID-19 (COVID+ve, n=85) and the subsequent 2:1 matching to generate the other two study groups.

Quantitative variables

Healthcare team–family interactions in the last 5 days of life were treated as count data and summarised as median (interquartile, Q1–Q3 range); other continuous variables were expressed as mean±SD unless otherwise indicated.

Statistical methods

Demographic characteristics, allied health involvement, palliative medicine consultation and resuscitation order status were compared among study groups, using a χ2 test for categorical variables and an analysis of variance or Kruskal-Wallis test for continuous variables, as appropriate. The presence of family was reported using unadjusted and adjusted multivariable logistic regression, reporting ORs and corresponding 95% CIs. The comparison of virtual patient–family encounters was restricted to the intrapandemic groups, as these encounters were rarely documented prepandemically. The count distribution of healthcare team–family in-person (online supplemental appendix 1) and telephone interactions (online supplemental appendix 2) were zero inflated and overdispersed, with potential clustering both by site and family presence in the last 48 hours of life. Consequently, mixed effects negative binomial models were used, including site and family presence in the last 48 hours as random effects, and reporting incidence rate ratios (IRRs) with 95% CIs for in-person and telephone interactions among the groups. Due to absence of virtual healthcare team–family encounters prepandemically, and their infrequent occurrence in the intrapandemic groups, the initial total counts underwent binary transformation to reflect occurrence or non-occurrence, and group comparison was restricted to the intrapandemic groups. Stata (StataCorp LP, 2015, Stata Statistical Software: Release 14) was used for statistical analysis, and statistical significance was set at p<0.05.

Supplementary data

bmjopen-2022-062937supp001.pdf (26.2KB, pdf)

Supplementary data

bmjopen-2022-062937supp002.pdf (25.8KB, pdf)

Results

Study sample derivation and demographic data

The final study sample of 425 decedents consisted of the pre-COVID (n=170), COVID-ve (n=170) and COVID+ve (n=85) groups (figure 1).

Figure 1.

Figure 1

Study flow diagram of study group derivation, exposures, matching and outcomes.

Comparison of demographic data revealed no statistically significant difference among the study groups regarding the matching criteria (table 1).

Table 1.

Demographic characteristics among study groups designated according to COVID-19 status

Demographic characteristics Time periods and designated study groups P values
November 2019–February 2020 March 2020–August 2020
Pre-COVID group
n=170 (%)*
COVID-ve group
n=170 (%)*
COVID+ve group
n=85 (%)*
Age
 Years, mean±SD 79.5±12.3 79.2±12.3 78.9±12.2 0.942
Sex
 Male 100 (58.8) 100 (58.8) 50 (58.8) 1.0
Admission referral source
 Home 99 (58.2) 109 (64.1) 31 (36.5) <0.001
 Retirement home 36 (21.2) 34 (20.0) 11 (11.8)
Nursing home/long-term care 22 (12.9) 8 (4.7) 43 (50.6)
 Complex continuing care 2 (1.2) 2 (1.2) 0 (0.0)
 Other 11 (6.5) 17 (10.0) 1 (1.2)
Care service at death
 Medicine service/unit 118 (69.4) 122 (71.7) 62 (72.9) 0.814
 Intensive care unit 52 (30.6) 48 (28.2) 23 (27.1)
Admission duration
 Days, median (Q1–Q3) 6 (2–15) 9 (4–21) 6 (4–13) 0.062
Documented no CPR order
 Present 160 (94.1) 161 (94.7) 82 (96.5) 0.724
 Median days (Q1–Q3) pre-death if order present 3 (1–10) 5 (1–16) 5 (3–11) 0.184

Bold values were statistically significant

*Column numbers refer to number of persons (%) in respective study groups unless stated otherwise.

CPR, cardiopulmonary resuscitation.

The overall mean age was 79.3±12.2 and the majority (58.8%) were male. Admission referrals from nursing homes were higher in the COVID+ve (50.6%) group compared with pre-COVID (12.9%) or COVID-ve (4.7%) groups (p<0.001).

Family–patient communication encounters

In the last 48 hours of life, family member presence decreased progressively across the pre-COVID (90.6%), COVID-ve (79.4%) and COVID+ve (47.1%) groups (table 2).

Table 2.

In-person family presence in the last 48 hours of life and variables examined in logistic regression analyses

Variables examined Proportion of patients* (%) Unadjusted OR (95% CI) P value Adjusted OR (95% CI) P value
In-person family presence 329/425 (77.4)
Age of decedent† 0.997 (0.98 to 1.02) 0.774 0.99 (0.97 to 1.02) 0.608
Sex of decedent
 Female 139/175 (79.4) 1 1
 Male 190/250 (76.0) 0.82 (0.51 to 1.31) 0.406 0.75 (0.44 to 1.26) 0.272
Study group
 Pre-COVID 154/170 (90.6) 1 1
 COVID-ve 135/170 (79.4) 0.40 (0.21 to 0.76) 0.005 0.38 (0.199 to 0.73) 0.003
 COVID+ve 40/85 (47.1) 0.09 (0.05 to 0.18) <0.001 0.09 (0.04 to 0.17) <0.001
Hospital site
 Site 1 138/170 (81.2) 1 1
 Site 2 108/155 (69.7) 0.53 (0.32 to 0.89) 0.017 0.46 (0.26 to 0.84) 0.011
 Site 3 83/100 (83.0) 1.13 (0.59 to 2.17) 0.707 1.15 (0.56 to 2.34) 0.701
Care service at death
 Medicine 231/302 (76.5) 1 1
 Intensive care unit 98/123 (79.7) 1.21 (0.72 to 2.01) 0.477 0.92 (0.47 to 1.79) 0.801
Admission duration† 1.004 (0.99 to 1.01) 0.411 1.004 (0.99 to 1.02) 0.428

Bold values were statistically significant.

*Proportion of patients=proportion of total number for each categorical variable.

†Treated as a continuous variable or covariate.

The unadjusted OR for family physical presence in the last 48 hours of life was 0.40 (0.21–0.76) and 0.09 (0.05–0.18) for the COVID-ve (p=0.005) and COVID+ve (p<0.001) groups, respectively, and 0.53 (0.32–0.89) for site 2 (p=0.017). These findings were maintained with marginal differences in the multivariable model.

In the pre-COVID group, only two virtual patient–family encounters were documented in the last 48 hours of life, compared with occurrence rates of 31.8% and 10% in the COVID-ve and COVID+ve groups, respectively. In a multivariable model restricted to the intrapandemic decedents (n=255), the adjusted OR for the occurrence of a virtual encounter was 3.45 (1.67–7.15) and 2.14 (1.01–4.53) for the COVID+ve group (p=0.001) and for absence of a family member in the last 48 hour of life (p=0.048), respectively (table 3).

Table 3.

Virtual family presence in the last 48 hours of life and variables examined in logistic regression analyses

Variables examined Proportion of patients* (%) Unadjusted OR (95% CI) P value Adjusted OR (95% CI) P value
Virtual family presence† 44/255 (17.3)
Age of decedent‡ 1.01 (0.98 to 1.04) 0.402 1.02 (0.98 to 1.05) 0.334
Sex of decedent
 Female 19/105 (18.1) 1 1
 Male 25/150 (16.7) 0.91 (0.47 to 1.75) 0.766 0.88 (0.44 to 1.80) 0.734
Study group
 COVID-ve 17/170 (10.0) 1 1
 COVID+ve 27/85 (31.8) 4.19 (2.13 to 8.25) <0.001 3.45 (1.67 to 7.15) 0.001
Hospital site
 Site 1 21/102 (20.6) 1 1
 Site 2 16/93 (17.2) 0.80 (0.39 to 1.65) 0.548 0.75 (0.33 to 1.70) 0.486
 Site 3 7/60 (11.7) 0.51 (0.20 to 1.28) 0.152 0.55 (0.21 to 1.47) 0.235
Care service at death
 Medicine 31/184 (16.9) 1 1
 Intensive care unit 13/71 (18.3) 1.11 (0.54 to 2.26) 0.782 1.44 (0.58 to 3.53) 0.424
Admission duration‡ 0.997 (0.98 to 1.01) 0.600 1.001 (0.99 to 1.01) 0.855
Family present in-person in last 48 hours of life
 Yes 21/175 (12.0) 1 1
 No 23/80 (28.8) 2.96 (1.52 to 5.75) 0.001 2.14 (1.007 to 4.53) 0.048

Bold values were statistically significant

*Proportion of patients=proportion of total number for each categorical variable.

†Pre-COVID group (n=170) were excluded from the bivariable analyses and the multivariable model.

‡Treated as a continuous variable or covariate.

Healthcare team–family communication encounters

In the last 5 days of life, there was a 15% reduction in physical or in-person healthcare team communication encounters in male decedents compared with females, with IRR=0.85 (0.72–0.99), p=0.041 (table 4).

Table 4.

Number of healthcare team–family communication encounters in the last 5 days of life in mixed effects negative binomial models (A: in-person and B: telephone)*

ModelsAnd variables examined Count† Incidence rate ratio (95% CI) P value
A. In-person encounter 2 (1–4)
 Age of decedent‡ 0.997 (0.99–1.004) 0.396
 Sex of decedent (female) 2 (1–5) 1
 Sex of decedent (male) 2 (1–4) 0.85 (0.72–0.99) 0.041
 Study group: exposure status
  Pre-COVID 3 (2–5) 1
  COVID-ve 2 (1–4) 0.76 (0.64–0.90) 0.001
  COVID+ve 0 (0–2) 0.61 (0.47–0.79) <0.001
 Care service at death
  Medicine service 2 (0–5) 1
  Intensive care unit 2 (1–3) 0.68 (0.55–0.84) <0.001
 Days in hospital‡ 1.003 (0.999–1.006) 0.411
B. Telephone communications 1 (0–3)
 Age of decedent‡ 1.005 (0.996–1.01) 0.283
 Sex of decedent (female) 1 (0–3) 1
 Sex of decedent (male) 1 (0–3) 1.002 (0.84–1.19) 0.984
 Study group: exposure status
  Pre-COVID 1 (0–1) 1
  COVID-ve 2 (1–3) 2.60 (2.09–3.25) <0.001
  COVID+ve 4 (2–5) 4.77 (3.72–6.12) <0.001
 Care service at death
  Medicine 1 (0–3) 1
  Intensive care unit 1 (0–3) 1.16 (0.93–1.43) 0.189
 Days in hospital‡ 0.998 (0.99–1.001) 0.203

Bold values were statistically significant

*Hospital site and family’s physical presence in the last 48 hours of life were both included as random effects in both models.

†Counts for categorical variables, median (Q1–Q3).

‡Treated as a continuous covariate in models.

There was an approximate 24% and 39% reduction in the incidence rate of these communications in the COVID-ve and COVID+ve groups, with IRRs of 0.76 (0.64–0.90) and 0.61 (0.47–0.79), p=0.001 and p<0.001, respectively. Compared with a medicine ward, death in ICU was associated with a 32% reduction in the incidence rate of in-person communications; IRR=0.68 (0.55–0.84), p<0.001.

In the model examining telephone communications between the healthcare team and family members in the last 5 days of life, there was a relative increase in the incidence rate of these communications in the COVID-ve and particularly in the COVID+ve groups, with IRRs of 2.6 (2.09–3.25) and 4.77 (3.72–6.12), p<0.001 for both, respectively.

Virtual healthcare team–family communication encounters occurred in 17 (20%) of the COVID+ve and 10 (5.9%) of COVID-ve decedents (p=0.001). Both COVID+ve status and death in the ICU were associated with an increased occurrence of virtual communication encounters, with unadjusted ORs of 4.0 (1.74–9.18) and 2.29 (1.01–5.18), p=0.001 and p=0.046, respectively (online supplemental appendix 3). Hospital site 2 was associated with an unadjusted OR of 0.33 (0.12–0.95), p=0.039, for virtual communication encounters, compared with hospital site 1. However, only COVID+ve status had an independent association with virtual communications in a multivariable model, with an adjusted OR of 3.68 (1.51–8.95), p=0.004.

Supplementary data

bmjopen-2022-062937supp003.pdf (75KB, pdf)

Interprofessional supportive care team involvement

Relative to the pre-COVID group, with proportions of 41.2%, 45.9% and 30.4% for the respective involvement of physiotherapy, medical social work and occupational therapy during admission, the COVID-ve group had greater involvement (50.6%, 58.2% and 42.9%, respectively), whereas the COVID+ve group had lesser involvement of these disciplines with rates of 22.4%, 30.6% and 12.9%, respectively, p<0.001 for all (table 5).

Table 5.

Comparison of interprofessional team member involvement among study groups

Interprofessional team members Time periods and designated groups P value
November 2019–August 2020 November 2019–February 2020 March 2020–August 2020
All groups
n=425 (%)*
Pre-COVID
n=170 (%)*
COVID-ve
n=170 (%)*
COVID+ve
n=85 (%)*
Physiotherapy 175 (41.2) 70 (41.2) 86 (50.6) 19 (22.4) <0.001
Medical social worker 195 (45.9) 70 (41.2) 99 (58.2) 26 (30.6) <0.001
Spiritual care 105 (24.7) 49 (28.8) 42 (24.7) 14 (16.5) 0.098
Occupational therapy 129 (30.4) 45 (26.5) 73 (42.9) 11 (12.9) <0.001
Palliative care
 Consult requested 167 (39.3) 70 (41.2) 71 (41.8) 26 (30.6) 0.184
 Consult completed 159 (37.4) 67 (39.4) 67 (39.4) 25 (29.4) 0.234
 Days from consult completion to death (median, Q1–Q3) 3 (1–7) 4 (1–9) 3 (1–6) 3 (2–12) 0.577

Bold values were statistically significant

*Column numbers refer to number of persons (%) within respective groups unless stated otherwise.

There were no statistically significant study group differences with respect to spiritual care or palliative care involvement, though the proportion with spiritual care involvement decreased from 28.8% in the pre-COVID group to 12.9% in the COVID+ve group (p=0.098).

Discussion

Study findings and putative explanations

Our study found reduced physical presence of family at end of life for pandemic decedents, particularly in those dying with COVID-19 infection, with a reduction of almost 50% when compared with matched prepandemic controls. Although we adjusted for family presence at end of life, we found a reduced incidence rate of in-person healthcare team–family meetings in the last 5 days of life, most notably in the COVID+ve group, but also in male decedents and those dying in ICU, when compared with matched prepandemic controls. It is unclear if the matching process contributed to this finding in male decedents, whereas reduced in-person healthcare team–family encounters have previously been reported in ICU during the COVID-19 pandemic.23

The reductions in both types of in-person encounters in our study occurred in the context of pandemic-related patient isolation policies and visitor restrictions. Although visitor restrictions were introduced, there were efforts to make exceptions for end-of-life situations both locally and nationally in wave 1 of the pandemic, as reported in an environmental scan of ICU visitation policies.14 Other factors potentially contributing to reduced in-person encounters include fear of contagion in relation to COVID-19 infection and reduced access to hospital due to limitations in public or possibly personal transport as a result of the pandemic.20 Although site difference in access policy might be considered as an explanation for lesser family presence in the last 48 hours of life at site 2, we found no evidence of such difference, and the cause of this finding is unclear.

To date, published quantitative data on frequency estimates of changes in in-person family presence or healthcare team–family communication in relation to end-of-life care in the pandemic is limited to a Swedish Register of Palliative Care (SRPC) study of hospitalised COVID-19 decedents (n=438), which reported family members were present at the time of death in only 24% of cases.20 The study also reported that end-of-life discussions occurred with relatives in 87% of hospitalised decedents but without a specific time reference and without distinguishing between in-person and telephone or other modality.20 The SRPC data collection process relies on voluntary reporting and is designed to only record expected deaths, possibly resulting in missed cases, whereas the number of COVID-19 deaths (n=85) in our study is smaller but included all regional acute care hospital decedents in the study period. Consistent with published data,4 20 24 our COVID+ve decedent cohort were on average relatively old, referred to hospital mostly from nursing home (long-term care) facilities and mostly male. Despite the reduction in healthcare team–family in-person encounters, almost all patients (95%–97%) in the pandemic groups had a no CPR order in place at death, which compares favourably with published data on this metric,17 18 and indicates that goals of care discussions likely occurred using modalities other than in-person communication.

Our study found that healthcare team–family telephone encounters increased markedly during the pandemic, particularly in relation to COVID+ve decedents. Virtual communication encounters occurred rarely in the prepandemic period, perhaps due to lesser need with the availability of preferred in-person encounters. Virtual communications at end-of-life were adopted intrapandemically and were used by 42% of both decedent groups for family–patient encounters in this period, especially in COVID+ve decedents.

Compared with the prepandemic period, there were statistically significant changes in involvement of medical social work, physiotherapy and occupational therapy, with increases occurring in the COVID-ve group and decreases in the COVID+ve group. It is unclear whether these findings reflect greater intensity of discharge planning activity in the COVID-ve group, or greater availability of these personnel due to reduced involvement with the COVID+ve group. Intrapandemically, the proportions of palliative care consultations and spiritual care involvement were largely maintained, with a non-statistically significant reduction of both in the COVID+ve group.

Study implications

Collectively, our findings have implications for patients and their families, and both the healthcare team and administrative policy.15 25 For patients, in whom ‘the fear of dying alone is nearly universal’,26 reduced end-of-life contact with family and reduced interprofessional team input may compound their existing distress. Furthermore, patients with end-of-life delirium may be deprived of family reorientation efforts and the presence of a familiar face as a source of comfort.27 28

For family members of dying patients, reduced in-person contact with their loved one increases the risk of complicated grief.12 It is unclear as to how much virtual communication might mitigate the risks associated with absence of in-person family contact but clearly a modality worthy of further evaluation.29–31 Although families appreciate the availability of virtual communication with their family member or the healthcare team,28 31 their preference clearly remains to have in-person communication.32 33 Our study’s data will also be used in a prospective evaluation of grief in bereaved family members.

For the healthcare team, conducting in person end-of-life discussions is challenging even in the absence of a pandemic; in the presence of the pandemic, they may resort to alternative communication modalities, as they appeared to do in our study, although with some uncertainty as to whether the process, or quality associated with these modalities meet the desired outcomes that are associated with conventional in-person communication. There are many reports of moral distress in physicians and nurses during the pandemic; caring for patients dying alone without any family present is cited as a major contributor to this.34–37 For hospital administrative policy development, there is the ethical challenge of balancing the patient and family need for in-person contact at end-of-life against the measures to reduce infection risk with COVID-19,13 38 in addition to legal considerations.38

Study strengths and limitations

There were no missing data in a decedent cohort that was representative of the regional source population in all acute care hospitals. Although cohort groups were effectively matched, the matching was limited to age, sex and care service, and other baseline differences could have existed. We acknowledge that many of the early COVID-19 pandemic deaths occurred in nursing home or long-term care facilities, and our study findings may have limited generalisability in relation to such settings. Other limitations include the retrospective nature of the study, absence of a qualitative assessment of communication encounters, absence of abstractor blinding and the possibility of misclassification bias in data abstraction, which could have occurred despite rigorous training and data accuracy checks.

Conclusions

In hospitalised COVID-19 pandemic wave 1 decedents, families’ physical presence and in-person healthcare team-family communication encounters were markedly reduced at end-of-life; virtual modalities were adopted to a limited extent, more so in patient–family than healthcare team–family encounters, and telephone use was increased in healthcare team–family communications. Although allied health interprofessional team members had lesser involvement intrapandemically in those dying of COVID-19 infection, spiritual care and palliative care involvement was maintained at just below prepandemic levels. Future studies are required to examine the implications of the pandemic-related communication changes for the patient, the family and the healthcare team.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

The authors are grateful to Dong Vo, Ottawa Methods Centre’s Data Management Services and Ottawa Hospital Research Institute for the creation of an electronic study database, and to Dr Tim Ramsay, Scientific Director, Ottawa Methods Centre and Senior Scientist, Ottawa Hospital Research Institute for his statistical advice. We gratefully acknowledge the input of representatives from Bereaved Families of Ontario, Canadian Virtual Hospice and the Champlain Hospice Palliative Care Programme.

Footnotes

Twitter: @PeterLawlor20

Contributors: JD conceptualised the project and designed the study with assistance from PL, HP, LC, VG, RM, GW, AB, KW, JL, CW, DB, PE, ID, KB, CD, AI, SHB, SI, PT and BV-W. The study site leads, HP, VG and LC, coordinated ethics applications along with PL, JL and DB. Data were abstracted by PL, HP, SRA, EB, LC, RM, GW, AB, KA-M, KW, PE, ID, KB and CD. Data verification was coordinated by PL with the assistance of HP, SRA, EB, LC, RM, GW, AB, PE and KB. Statistical analyses were performed by PL and CW. All authors assisted with data interpretation. The original version of the manuscript was drafted by PL and critically reviewed by all authors. All authors approved the final manuscript as submitted. PL acts as guarantor and takes full responsibility for the study.

Funding: This work has been funded in part by a grant from the University of Ottawa Faculty of Medicine COVID-19 Pandemic Response Funding Program, and in part by a contribution from Health Canada, Health Care Policy and Strategies Program.

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

No data are available.

Ethics statements

Patient consent for publication

Not applicable.

Ethics approval

The Research Ethics Boards (REBs) of each hospital approved the study: Ottawa Health Science Network-REB (20200653–01H, 18 December 2020); Montfort REB (20-21-10-032, 2 December 2020) and Queensway Carleton Hospital REB (20–06, 1 December 2020).

References

  • 1. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497–506. 10.1016/S0140-6736(20)30183-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. World Health Organisation . WHO Director-General’s opening remarks at the media briefing on COVID-19, 2021. Available: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19-11-march-2020 [Accessed 27 Dec 2021].
  • 3. Docherty AB, Harrison EM, Green CA, et al. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ 2020;369:m1985. 10.1136/bmj.m1985 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Murthy S, Archambault PM, Atique A, et al. Characteristics and outcomes of patients with COVID-19 admitted to hospital and intensive care in the first phase of the pandemic in Canada: a national cohort study. CMAJ Open 2021;9:E181–8. 10.9778/cmajo.20200250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Petrilli CM, Jones SA, Yang J, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ 2020;2:m1966. 10.1136/bmj.m1966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Radbruch L, De Lima L, Knaul F, et al. Redefining palliative Care-A new consensus-based definition. J Pain Symptom Manage 2020;60:754–64. 10.1016/j.jpainsymman.2020.04.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Selman LE, Brighton LJ, Sinclair S, et al. Patients' and caregivers' needs, experiences, preferences and research priorities in spiritual care: a focus group study across nine countries. Palliat Med 2018;32:216–30. 10.1177/0269216317734954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. World Health Organization . WHO palliative care, 2002. Available: https://www.who.int/health-topics/palliative-care [Accessed 27 Dec 2021].
  • 9. Hanna JR, Rapa E, Dalton LJ, et al. A qualitative study of bereaved relatives' end of life experiences during the COVID-19 pandemic. Palliat Med 2021;35:843–51. 10.1177/02692163211004210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Mayland CR, Hughes R, Lane S, et al. Are public health measures and individualised care compatible in the face of a pandemic? a national observational study of bereaved relatives' experiences during the COVID-19 pandemic. Palliat Med 2021;35:1480–91. 10.1177/02692163211019885 [DOI] [PubMed] [Google Scholar]
  • 11. Schloesser K, Simon ST, Pauli B, et al. "Saying goodbye all alone with no close support was difficult"- Dying during the COVID-19 pandemic: an online survey among bereaved relatives about end-of-life care for patients with or without SARS-CoV2 infection. BMC Health Serv Res 2021;21:998. 10.1186/s12913-021-06987-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kentish-Barnes N, Chaize M, Seegers V, et al. Complicated grief after death of a relative in the intensive care unit. Eur Respir J 2015;45:1341–52. 10.1183/09031936.00160014 [DOI] [PubMed] [Google Scholar]
  • 13. Downar J, Kekewich M. Improving family access to dying patients during the COVID-19 pandemic. Lancet Respir Med 2021;9:335–7. 10.1016/S2213-2600(21)00025-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Fiest KM, Krewulak KD, Hiploylee C, et al. An environmental scan of visitation policies in Canadian intensive care units during the first wave of the COVID-19 pandemic. Can J Anaesth 2021;68:1474–84. 10.1007/s12630-021-02049-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Moss SJ, Krewulak KD, Stelfox HT, et al. Restricted visitation policies in acute care settings during the COVID-19 pandemic: a scoping review. Crit Care 2021;25:347. 10.1186/s13054-021-03763-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Kentish-Barnes N, Cohen-Solal Z, Morin L, et al. Lived experiences of family members of patients with severe COVID-19 who died in intensive care units in France. JAMA Netw Open 2021;4:e2113355. 10.1001/jamanetworkopen.2021.13355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Connellan D, Diffley K, McCabe J, et al. Documentation of Do-Not-Attempt-Cardiopulmonary-Resuscitation orders amid the COVID-19 pandemic. Age Ageing 2021;50:1048–51. 10.1093/ageing/afab075 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Reidy J, Savageau JA, Sullivan K, et al. Assessing Goals-of-Care documentation during the COVID-19 patient surge in an academic safety-net medical center. J Palliat Med 2022;25:282–90. 10.1089/jpm.2021.0172 [DOI] [PubMed] [Google Scholar]
  • 19. Martinsson L, Bergström J, Hedman C, et al. Symptoms, symptom relief and support in COVID-19 patients dying in hospitals during the first pandemic wave. BMC Palliat Care 2021;20:102. 10.1186/s12904-021-00785-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Strang P, Bergström J, Martinsson L, et al. Dying from COVID-19: loneliness, end-of-life discussions, and support for patients and their families in nursing homes and hospitals. A national register study. J Pain Symptom Manage 2020;60:e2–13. 10.1016/j.jpainsymman.2020.07.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med 2007;4:e296. 10.1371/journal.pmed.0040296 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Government of Ontario . COVID-19 case numbers and spread. Available: https://covid-19.ontario.ca/data/case-numbers-and-spread [Accessed 27 Dec 2021].
  • 23. Piscitello GM, Fukushima CM, Saulitis AK, et al. Family meetings in the intensive care unit during the coronavirus disease 2019 pandemic. Am J Hosp Palliat Care 2021;38:305–12. 10.1177/1049909120973431 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Pastor-Barriuso R, Pérez-Gómez B, Hernán MA, et al. Infection fatality risk for SARS-CoV-2 in community dwelling population of Spain: nationwide seroepidemiological study. BMJ 2020;371:m4509. 10.1136/bmj.m4509 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Hugelius K, Harada N, Marutani M. Consequences of visiting restrictions during the COVID-19 pandemic: an integrative review. Int J Nurs Stud 2021;121:104000. 10.1016/j.ijnurstu.2021.104000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Wakam GK, Montgomery JR, Biesterveld BE, et al. Not Dying Alone - Modern Compassionate Care in the Covid-19 Pandemic. N Engl J Med 2020;382:e88. 10.1056/NEJMp2007781 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Pun BT, Badenes R, Heras La Calle G, et al. Prevalence and risk factors for delirium in critically ill patients with COVID-19 (COVID-D): a multicentre cohort study. Lancet Respir Med 2021;9:239–50. 10.1016/S2213-2600(20)30552-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Rose L, Yu L, Casey J, et al. Communication and virtual visiting for families of patients in intensive care during the COVID-19 pandemic: a UK national survey. Ann Am Thorac Soc 2021;18:1685–92. 10.1513/AnnalsATS.202012-1500OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Bloomer MJ, Walshe C. Smiles behind the masks: a systematic review and narrative synthesis exploring how family members of seriously ill or dying patients are supported during infectious disease outbreaks. Palliat Med 2021;35:1452–67. 10.1177/02692163211029515 [DOI] [PubMed] [Google Scholar]
  • 30. Selman LE, Chao D, Sowden R, et al. Bereavement support on the frontline of COVID-19: recommendations for hospital clinicians. J Pain Symptom Manage 2020;60:e81–6. 10.1016/j.jpainsymman.2020.04.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Cherniwchan HR. Harnessing new and existing virtual platforms to meet the demand for increased inpatient palliative care services during the COVID-19 pandemic: a 5 key themes literature review of the characteristics and barriers of these evolving technologies. Am J Hosp Palliat Care 2022;39:10499091211036698. 10.1177/10499091211036698 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Kennedy NR, Steinberg A, Arnold RM, et al. Perspectives on telephone and video communication in the intensive care unit during COVID-19. Ann Am Thorac Soc 2021;18:838–47. 10.1513/AnnalsATS.202006-729OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Mercadante S, Adile C, Ferrera P, et al. Palliative care in the time of COVID-19. J Pain Symptom Manage 2020;60:e79–80. 10.1016/j.jpainsymman.2020.04.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. McMillan K, Wright DK, McPherson CJ, et al. Visitor restrictions, palliative care, and Epistemic agency: a qualitative study of nurses' relational practice during the coronavirus pandemic. Glob Qual Nurs Res 2021;8:233339362110517. 10.1177/23333936211051702 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Villa M, Balice-Bourgois C, Tolotti A, et al. Ethical conflict and its psychological correlates among hospital nurses in the pandemic: a cross-sectional study within Swiss COVID-19 and Non-COVID-19 wards. Int J Environ Res Public Health 2021;18:12012. 10.3390/ijerph182212012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Anderson-Shaw LK, Zar FA. COVID-19, moral conflict, distress, and dying alone. J Bioeth Inq 2020;17:777–82. 10.1007/s11673-020-10040-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Cook DJ, Takaoka A, Hoad N, et al. Clinician Perspectives on Caring for Dying Patients During the Pandemic : A Mixed-Methods Study. Ann Intern Med 2021;174:493–500. 10.7326/M20-6943 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Sudai M. Not dying alone: the need to Democratize Hospital visitation policies during Covid-19. Med Law Rev 2021;29:613–38. 10.1093/medlaw/fwab033 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

bmjopen-2022-062937supp001.pdf (26.2KB, pdf)

Supplementary data

bmjopen-2022-062937supp002.pdf (25.8KB, pdf)

Supplementary data

bmjopen-2022-062937supp003.pdf (75KB, pdf)

Reviewer comments
Author's manuscript

Data Availability Statement

No data are available.


Articles from BMJ Open are provided here courtesy of BMJ Publishing Group

RESOURCES