The first casualty of COVID-19 for patients nearing death was human dignity: Understanding the experience of palliative care patients during the COVID-19 pandemic.

The COVID-19 pandemic changed the way people lived, but also the way they died. It accentuated the physical, psychological, social, and spiritual vulnerabilities of patients approaching death. This study explored the lived experience of palliative inpatients during the pandemic. We conducted interviews with 22 palliative inpatients registered in a Canadian urban palliative care program, aimed to uncover how the pandemic impacted participants' experiences of approaching end-of-life. The reflexive thematic analysis revealed 6 themes: putting off going into hospital, the influence of the pandemic on hospital experience, maintaining dignity in care, emotional impact of nearing death, making sense of end-of-life circumstances and coping with end-of-life. Findings highlight the vulnerability of patients approaching death, and how that was accentuated during the pandemic. Findings reveal how the pandemic strained, threatened, and undermined human connectedness. These lived experiences of palliative inpatients offer guidance for future pandemic planning and strategies for providing optimal palliative care.

Adherence to Psychotropic Medication Before and During COVID-19: A Population-Wide Retrospective Observational Study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic and associated public health measures have shifted the way people access health care. We aimed to study the effects of the COVID-19 pandemic on psychotropic medication adherence. METHODS: A retrospective cohort study using administrative data from the Manitoba Centre for Health Policy Manitoba Population Research Data Repository was conducted. Outpatients who received at least 1 prescription for an antidepressant, antipsychotic, anxiolytic/sedative-hypnotic, cannabinoid, lithium, or stimulants from 2015 to 2020 in Manitoba, Canada, were included. Adherence was measured using the proportion of individuals with a mean possession ratio of ≥0.8 over each quarter. Each quarter of 2020 after COVID-19-related health measures were implemented was compared with the expected trend using autoregression models for time series data plus indicator variables. Odds ratio of drug discontinuation among those previously adherent in 2020 was compared with each respective quarter of 2019. RESULTS: There were 1,394,885 individuals in the study population in the first quarter of 2020 (mean [SD] age, 38.9 [23.4] years; 50.3% female), with 36.1% having a psychiatric diagnosis in the preceding 5 years. Compared with the expected trend, increases in the proportions of individuals adherent to antidepressants and stimulants were observed in the fourth quarter (October-December) of 2020 (both P < 0.001). Increases in the proportions of individuals with anxiolytic and cannabinoid adherence were observed in the third quarter (July-September) of 2020 (both P < 0.05), whereas a decrease was seen with stimulants in the same quarter ( P < 0.0001). No significant changes were observed for antipsychotics. All drug classes except lithium had decreases in drug discontinuation in previously adherent patients during the pandemic compared with 2019. CONCLUSIONS: Improved adherence to most psychotropic medications in the 9 months after public health restrictions were enacted was observed. Patients who were already adherent to their psychotropic medications were less likely to discontinue them during the pandemic.

"It took so much of the humanness away": Health care professional experiences providing care to dying patients during COVID-19.

COVID-19 has affected healthcare in profound and unprecedented ways, distorting the experiences of patients and healthcare professionals (HCPs) alike. One area that has received little attention is how COVID-19 affected HCPs caring for dying patients. The goal of this study was to examine the experiences of HCPs working with dying patients during the COVID-19 pandemic. Between July 2020-July 2021, we recruited HCPs (N = 25) across Canada. We conducted semi-structured interviews, using a qualitative study design rooted in constructivist grounded theory methodology. The core themes identified were the impact of the pandemic on care utilization, the impact of infection control measures on provision of care, moral distress in the workplace, impact on psychological wellbeing, and adaptive strategies to help HCPs manage emotions and navigate pandemic imposed changes. This is the first Canadian study to qualitatively examine the experiences of HCPs providing care to dying patients during the COVID-19 pandemic. Implications include informing supportive strategies and shaping policies for HCPs providing palliative care.

Impact of restricted visitation policies during COVID-19 on critically ill adults, their families, critical care clinicians, and decision-makers: a qualitative interview study.

PURPOSE: During the first wave of the COVID-19 pandemic, restricted visitation policies were enacted at acute care facilities to reduce the spread of COVID-19 and conserve personal protective equipment. In this study, we aimed to describe the impact of restricted visitation policies on critically ill patients, families, critical care clinicians, and decision-makers; highlight the challenges faced in translating these policies into practice; and delineate strategies to mitigate their effects. METHOD: A qualitative description design was used. We conducted semistructured interviews with critically ill adult patients and their family members, critical care clinicians, and decision-makers (i.e., policy makers or enforcers) affected by restricted visitation policies. We transcribed semistructured interviews verbatim and analyzed the transcripts using inductive thematic analysis. RESULTS: Three patients, eight family members, 30 clinicians (13 physicians, 17 nurses from 23 Canadian intensive care units [ICUs]), and three decision-makers participated in interviews. Thematic analysis was used to identify five themes: 1) acceptance of restricted visitation (e.g., accepting with concerns); 2) impact of restricted visitation (e.g., ethical challenges, moral distress, patients dying alone, intensified workload); 3) trust in the healthcare system during the pandemic (e.g., mistrust of clinical team); 4) modes of communication (e.g., communication using virtual platforms); and 5) impact of policy implementation on clinical practice (e.g., frequent changes and inconsistent implementation). CONCLUSIONS: Restricted visitation policies across ICUs during the COVID-19 pandemic negatively affected critically ill patients and their families, critical care clinicians, and decision-makers.

RéSUMé: OBJECTIF: Au cours de la première vague de la pandémie de COVID-19, des politiques de visite restreintes ont été adoptées dans les établissements de soins aigus afin de réduire la propagation de la COVID-19 et d'économiser les équipements de protection individuelle. Dans cette étude, nous avons cherché à décrire l'impact des politiques de visite restreintes sur les patients gravement malades, les familles, les intensivistes et les décideurs, ainsi qu'à souligner les difficultés rencontrées dans la mise en pratique de ces politiques et à définir des stratégies pour en atténuer les effets. MéTHODE: Une méthodologie de description qualitative a été utilisée. Nous avons mené des entretiens semi-structurés avec des patients adultes gravement malades et les membres de leur famille, les intensivistes et les décideurs (c.-à-d. les stratèges ou les responsables de l'application de la loi) touchés par les politiques de visite restreintes. Nous avons transcrit textuellement les entretiens semi-structurés et analysé les transcriptions à l'aide d'une analyse thématique inductive. RéSULTATS: Trois patients, huit membres de leur famille, 30 cliniciens (13 médecins, 17 infirmières de 23 unités de soins intensifs canadiennes) et trois décideurs ont participé à ces entrevues. L'analyse thématique a été utilisée pour identifier cinq thèmes : 1) l'acceptation des visites restreintes (p. ex., accepter avec des préoccupations); 2) l'impact des visites restreintes (p. ex., défis éthiques, détresse morale, patients mourant seuls, charge de travail accrue); 3) la confiance dans le système de santé pendant la pandémie (p. ex., méfiance à l'égard de l'équipe clinique); 4) les modes de communication (p. ex., communication à l'aide de plateformes virtuelles); et 5) l'incidence de la mise en œuvre des politiques sur la pratique clinique (p. ex., changements fréquents et mise en œuvre incohérente). CONCLUSION: Les politiques de visite restreintes dans les unités de soins intensifs pendant la pandémie de COVID-19 ont eu un impact négatif sur les patients gravement malades et leurs familles, les intensivistes et les décideurs.

Restricted visitation policies in acute care settings during the COVID-19 pandemic: a scoping review.

BACKGROUND: Restricted visitation policies in acute care settings because of the COVID-19 pandemic have negative consequences. The objective of this scoping review is to identify impacts of restricted visitation policies in acute care settings, and describe perspectives and mitigation approaches among patients, families, and healthcare professionals. METHODS: We searched Medline, Embase, PsycINFO, Healthstar, CINAHL, Cochrane Central Register of Controlled Trials on January 01/2021, unrestricted, for published primary research records reporting any study design. We included secondary (e.g., reviews) and non-research records (e.g., commentaries), and performed manual searches in web-based resources. We excluded records that did not report primary data. Two reviewers independently abstracted data in duplicate. RESULTS: Of 7810 citations, we included 155 records. Sixty-six records (43%) were primary research; 29 (44%) case reports or case series, and 26 (39%) cohort studies; 21 (14%) were literature reviews and 8 (5%) were expert recommendations; 54 (35%) were commentary, editorial, or opinion pieces. Restricted visitation policies impacted coping and daily function (n = 31, 20%) and mental health outcomes (n = 29, 19%) of patients, families, and healthcare professionals. Participants described a need for coping and support (n = 107, 69%), connection and communication (n = 107, 69%), and awareness of state of well-being (n = 101, 65%). Eighty-seven approaches to mitigate impact of restricted visitation were identified, targeting families (n = 61, 70%), patients (n = 51, 59%), and healthcare professionals (n = 40, 46%). CONCLUSIONS: Patients, families, and healthcare professionals were impacted by restricted visitation polices in acute care settings during COVID-19. The consequences of this approach on patients and families are understudied and warrant evaluation of approaches to mitigate their impact. Future pandemic policy development should include the perspectives of patients, families, and healthcare professionals. TRIAL REGISTRATION: The review was registered on PROSPERO (CRD42020221662) and a protocol peer-reviewed prior to data extraction.

An environmental scan of visitation policies in Canadian intensive care units during the first wave of the COVID-19 pandemic.

PURPOSE: In response to the rapid spread of SARS-CoV-2, hospitals in Canada enacted temporary visitor restrictions to limit the spread of COVID-19 and preserve personal protective equipment supplies. This study describes the extent, variation, and fluctuation of Canadian adult intensive care unit (ICU) visitation policies before and during the first wave of the COVID-19 pandemic. METHODS: We conducted an environmental scan of Canadian hospital visitation policies throughout the first wave of the pandemic. We conducted a two-phased study analyzing both quantitative and qualitative data. RESULTS: We collected 257 documents with reference to visitation policies (preCOVID, 101 [39%]; midCOVID, 71 [28%]; and lateCOVID, 85 [33%]). Of these 257 documents, 38 (15%) were ICU-specific and 70 (27%) referenced the ICU. Most policies during the midCOVID/lateCOVID pandemic period allowed no visitors with specific exceptions (e.g., end-of-life). Framework analysis revealed five overarching themes: 1) reasons for restricted visitation policies; 2) visitation policies and expectations; 3) exceptions to visitation policy; 4) patient and family-centred care; and 5) communication and transparency. CONCLUSIONS: During the first wave of the COVID-19 pandemic, most Canadian hospitals had public-facing visitor restriction policies with specific exception categories, most commonly for patients at end-of-life, patients requiring assistance, or COVID-19 positive patients (varying from not allowed to case-by-case). Further studies are needed to understand the consistency with which visitation policies were operationalized and how they may have impacted patient- and family-centred care.

RéSUMé: OBJECTIF: En réponse à la propagation rapide du SRAS-CoV-2, les hôpitaux du Canada ont adopté des restrictions temporaires pour les visites afin de limiter la propagation de la COVID-19 et de préserver les stocks d'équipements de protection individuelle. Cette étude décrit l'ampleur, les variations et fluctuations des politiques canadiennes concernant les visites aux unités de soins intensifs (USI) pour adultes avant et pendant la première vague de la pandémie de COVID-19. MéTHODE: Nous avons réalisé une étude de milieu des politiques hospitalières canadiennes concernant les visites tout au long de la première vague de la pandémie. Nous avons mené une étude en deux phases analysant des données quantitatives et qualitatives. RéSULTATS: Nous avons recueilli 257 documents faisant référence aux politiques de visites (pré-COVID, 101 [39 %]; mid-COVID, 71 [28 %]; et COVID-tardif, 85 [33 %]). Sur ces 257 documents, 38 (15 %) étaient spécifiques aux USI et 70 (27 %) faisaient référence aux USI. La plupart des politiques au cours de la période pandémique mid-COVID/COVID-tardif ne permettaient aucune visite sauf exception spécifique (p. ex., fin de vie). L'analyse du cadre a révélé cinq thèmes généraux : 1) les raisons des restrictions des politiques de visites; 2) les politiques et attentes en matière de visites; 3) les exceptions aux politiques de visites; 4) les soins aux patients et centrés sur la famille; et 5) la communication et la transparence. CONCLUSION: Au cours de la première vague de la pandémie de COVID-19, la plupart des hôpitaux canadiens avaient des politiques de restriction des visites s'appliquant au public avec des catégories d'exception spécifiques, le plus souvent pour les patients en fin de vie, les patients nécessitant de l'aide ou les patients COVID-positifs (variant d'une interdiction au cas par cas). D'autres études sont nécessaires pour comprendre l'uniformité avec laquelle les politiques de visites ont été mises en œuvre et comment elles ont pu avoir une incidence sur les soins centrés sur le patient et la famille.

The 5-Year Incidence of Mental Disorders in a Population-Based ICU Survivor Cohort.

OBJECTIVE: To estimate incidence of newly diagnosed mental disorders among ICU patients. DESIGN: Retrospective-matched cohort study using a population-based administrative database. SETTING: Manitoba, Canada. PARTICIPANTS: A total of 49,439 ICU patients admitted between 2000 and 2012 were compared with two control groups (hospitalized: n = 146,968 and general population: n = 141,937), matched on age (± 2 yr), sex, region of residence, and hospitalization year. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Incident mental disorders (mood, anxiety, substance use, personality, posttraumatic stress disorder, schizophrenia, and psychotic disorders) not diagnosed during the 5-year period before the index ICU or hospital admission date (including matched general population group), but diagnosed during the subsequent 5-year period. Multivariable survival models adjusted for sociodemographic variables, Charlson comorbidity index, admission diagnostic category, and number of ICU and non-ICU exposures. ICU cohort had a 14.5% (95% CI, 14.0-15.0) and 42.7% (95% CI, 42.0-43.5) age- and sex-standardized incidence of any diagnosed mental disorder at 1 and 5 years post-ICU exposure, respectively. In multivariable analysis, ICU cohort had increased risk of any diagnosed mental disorder at all time points versus the hospitalized cohort (year 5: adjusted hazard ratio, 2.00; 95% CI, 1.80-2.23) and the general population cohort (year 5: adjusted hazard ratio, 3.52; 95% CI, 3.23-3.83). A newly diagnosed mental disorder was associated with younger age, female sex, more recent admitting years, presence of preexisting comorbidities, and repeat ICU admission. CONCLUSIONS: ICU admission is associated with an increased incidence of mood, anxiety, substance use, and personality disorders over a 5-year period.

Preventing Posttraumatic Stress in ICU Survivors: A Single-Center Pilot Randomized Controlled Trial of ICU Diaries and Psychoeducation.

OBJECTIVES: Critical illness can have a significant psychological impact on patients and their families. To inform the design of a larger trial, we assessed feasibility of ICU diaries and psychoeducation to prevent posttraumatic stress disorder, depression, and anxiety following ICU stays. DESIGN: Four-arm pilot randomized controlled trial. SETTING: A 10-bed tertiary ICU in Winnipeg, MB, Canada. PATIENTS: Critically ill patients greater than 17 years old with predicted ICU stays greater than 72 hours and mechanical ventilation duration greater than 24 hours. INTERVENTIONS: Patients were randomized to usual care, ICU diary, psychoeducation, or both ICU diary and psychoeducation. MEASUREMENTS AND MAIN RESULTS: Our primary objective was to determine feasibility measured by enrollment/mo. Secondary outcomes included acceptability of the ICU diary intervention and psychological distress, including patients' memories 1 week post ICU using the ICU Memory Tool, posttraumatic stress disorder (Impact of Events Scale-Revised), depression, and anxiety symptoms (Hospital Anxiety and Depression Scale) 30 and 90 days post ICU. Over 3.5 years, we enrolled 58 patients, an average of 1.9 participants/mo. Families and healthcare providers wrote a mean of 3.2 diary entries/d (SD, 2.9) and indicated positive attitudes and low perceived burden toward ICU diary participation. A majority of patients reported distressing memories of their ICU stay. Those who received the diary intervention had significantly lower median Hospital Anxiety and Depression Scale anxiety (3.0 [interquartile range, 2-6.25] vs 8.0 [interquartile range, 7-10]; p = 0.01) and depression (3.0 [interquartile range, 1.75-5.25] vs 5.0 [interquartile range, 4-9]; p = 0.04) symptom scores at 90 days than patients who did not receive a diary. CONCLUSIONS: ICU diaries are a feasible intervention in a tertiary Canadian ICU context. Preliminary evidence supports the efficacy of ICU diaries to reduce psychological morbidity following discharge.

Reassessing access to intensive care using an estimate of the population incidence of critical illness.

BACKGROUND: The consistently observed male predominance of patients in intensive care units (ICUs) has raised concerns about gender-based disparities in ICU access. Comparing rates of ICU admission requires choosing a normalizing factor (denominator), and the denominator usually used to compare such rates between subpopulations is the size of those subpopulations. However, the appropriate denominator is the number of people whose medical condition warranted ICU care. We devised an estimate of the number of critically ill people in the general population, and used it to compare rates of ICU admission by gender and income. METHODS: This population-based, retrospective analysis included all adults in the Canadian province of Manitoba, 2004-2015. We created an estimate for the number of critically ill people who warrant ICU care, and used it as the denominator to generate critical illness-normalized rates of ICU admission. These were compared to the usual population-normalized rates of ICU care. RESULTS: Men outnumbered women in ICUs for all age groups; population-normalized male:female rate ratios significantly exceed 0 for every age group, ranging from 1.15 to 2.10. Using critical-illness normalized rates, this male predominance largely disappeared; critically ill men and women aged 45-74 years were admitted in equivalent proportions (critical-illness normalized rate ratios 0.96-1.01). While population-normalized rates of ICU care were higher in lower income strata (p < 0.001), the gradient for critical illness-based rates was reversed (p < 0.001). CONCLUSIONS: Across a 30-year adult age span, the male predominance of ICU patients was accounted for by higher estimated rates of critical illness among men. People in lower income strata had lower critical-illness normalized rates of ICU admission. Our methods highlight that correct inferences about access to healthcare require calculating rates using denominators appropriate for this purpose.

Variation in diurnal sedation in mechanically ventilated patients who are managed with a sedation protocol alone or a sedation protocol and daily interruption.

BACKGROUND: Mechanically ventilated patients may receive more sedation during the night than during the day, potentially delaying extubation. We compared nighttime and daytime benzodiazepine and opioid administration in adult patients enrolled in a multicenter sedation trial comparing protocolized sedation alone or protocolized sedation combined with daily sedation interruption; and we evaluated whether nighttime and daytime doses were associated with liberation from mechanical ventilation. METHODS: This is a secondary analysis of a randomized trial which was conducted in 16 North American medical-surgical ICUs. In all 423 patients, nurses applied a validated sedation scale hourly to titrate benzodiazepine and opioid infusions to achieve a light level of sedation. Using fentanyl equivalents and midazolam equivalents, we compared dosages administered during night (19:00 to 07:00) and day (07:00 to 19:00) shifts. Using multivariable logistic regression we evaluated the association between nighttime and daytime opioid and sedative doses, and spontaneous breathing trial (SBT) conduct, SBT success, and extubation. RESULTS: Nighttime benzodiazepine and opioid doses were significantly higher than daytime doses (mean difference midazolam equivalents 23.3 mg, 95 % CI 12.9, 33.8, p < 0.0001; mean difference fentanyl equivalents 356 mcg, 95 % CI 130, 582, p = 0.0021). Mean Sedation Agitation Scale score was similar between night and day, and was at target (3.2 vs 3.3, 95 % CI -0.05, 0.02, p = 0.35). Self-reported nurse workload was similar during the night and day. Patients were more often restrained during day shifts (76.3 % vs 73.7 %, p < 0.0001), and there were more unintentional device removals during the day compared with night (15.9 % vs 9.1 %, p < 0.0001). Increases in nighttime drug doses were independently associated with failure to meet SBT screening criteria, SBT failure, and the decision not to extubate the patient despite successful SBT. CONCLUSION: Patients received higher doses of opioids and benzodiazepines at night. Higher nighttime doses were associated with SBT failure and delayed extubation. TRIAL REGISTRATION: ClinicalTrials.gov NCT00675363 . Registered 7 May 2008.

Recall of ICU Stay in Patients Managed With a Sedation Protocol or a Sedation Protocol With Daily Interruption.

OBJECTIVES: To 1) describe factual, emotional, and delusional memories of ICU stay for patients enrolled in the SLEAP (Daily sedation interruption in mechanically ventilated critically ill patients cared for with a sedation protocol) trial; 2) compare characteristics of patients with and without ICU recall, and patients with and without delusional memories; and 3) determine factors associated with delusional memories 28 days after ICU discharge. DESIGN: Prospective cohort. SETTING: Sixteen North American medical and surgical ICUs. PATIENTS: Critically ill, mechanically ventilated adults randomized in the SLEAP trial. INTERVENTIONS: Post-ICU interviews on days 3, 28, and 90 using the validated ICU Memory Tool. MEASUREMENTS AND MAIN RESULTS: Overall, 289 of 297 ICU survivors (97%) (146 protocolized sedation and 143 protocolized sedation plus daily interruption patients) were interviewed at least once. Because there were no differences in recall status or types of memories between the two sedation groups, we present the findings for all patients rather than by study group. On days 3, 28, and 90, 28%, 26%, and 36% of patients, respectively, reported no recall of being in the ICU (overall perception, self-reported) (p = 0.75). Mean daily doses of benzodiazepines and opioids were lower in patients with no ICU recall than those with recall (p < 0.0001 for both). Despite one third of patients reporting no recall of ICU stay on day 3, 97% and 90% reported at least one factual and one emotional memory from ICU, respectively. Emotional memories declined with time after ICU discharge, particularly panic and confusion. Delusional memories 28 days after discharge were common (70%) yet unrelated to delirium (p = 0.84), recall status (p = 0.15), total dose of benzodiazepine (p = 0.78), or opioid (p = 0.21). Delusional memories were less likely with longer duration of mechanical ventilation (odds ratio, 0.955; 95% CI, 0.91-1.00; p = 0.04). CONCLUSIONS: Recall of ICU stay and types of memories reported were not influenced by the trial sedation strategy. Lack of ICU recall and delusional memories were common after ICU discharge despite the use of sedation strategies that promoted wakefulness.

Prevalence, risk factors, and outcomes of delirium in mechanically ventilated adults.

OBJECTIVE: Delirium is common during critical illness and associated with adverse outcomes. We compared characteristics and outcomes of delirious and nondelirious patients enrolled in a multicenter trial comparing protocolized sedation with protocolized sedation plus daily sedation interruption. DESIGN: Randomized trial. SETTING: Sixteen North American medical and surgical ICUs. PATIENTS: Four hundred thirty critically ill, mechanically ventilated adults. INTERVENTIONS: All patients had hourly titration of opioid and benzodiazepine infusions using a validated sedation scale. For patients in the interruption group, infusions were resumed, if indicated, at half of previous doses. Delirium screening occurred daily; positive screening was defined as an Intensive Care Delirium Screening Checklist score of 4 or more at any time. MEASUREMENTS AND MAIN RESULTS: Delirium was diagnosed in 226 of 420 assessed patients (53.8%). Coma was identified in 32.7% of delirious compared with 22.7% of nondelirious patients (p = 0.03). The median time to onset of delirium was 3.5 days (interquartile range, 2-7), and the median duration of delirium was 2 days (interquartile range, 1-4). Delirious patients were more likely to be male (61.1% vs 46.6%; p = 0.005), have a surgical/trauma diagnosis (21.2% vs 11.0%; p = 0.030), and history of tobacco (31.5% vs 16.2%; p = 0.002) or alcohol use (34.6% vs 20.9%; p = 0.009). Patients with positive delirium screening had longer duration of ventilation (13 vs 7 d; p < 0.001), ICU stay (12 vs 8 d; p < 0.0001), and hospital stay (24 vs 15 d; p < 0.0001). Delirious patients were more likely to be physically restrained (86.3% vs 76.7%; p = 0.014) and undergo tracheostomy (34.6% vs 15.5%; p < 0.0001). Antecedent factors independently associated with delirium onset were restraint use (hazard ratio, 1.87; 95% CI, 1.33-2.63; p = 0.0003), antipsychotic administration (hazard ratio, 1.67; 95% CI, 1.005-2.767; p = 0.047), and midazolam dose (hazard ratio, 0.998; 95% CI, 0.997-1.0; p = 0.049). There was no difference in delirium prevalence or duration between the interruption and control groups. CONCLUSION: In mechanically ventilated adults, delirium was common and associated with longer duration of ventilation and hospitalization. Physical restraint was most strongly associated with delirium.

Identification of four latent classes of acute respiratory distress syndrome using PaO2/FIO2 ratio: an observational cohort study.

Biological phenotypes in patients with the acute respiratory distress syndrome (ARDS) have previously been described. We hypothesized that the trajectory of PaO2/FIO2 ratio could be used to identify phenotypes of ARDS. We used a retrospective cohort analysis of an ARDS database to identify latent classes in the trajectory of PaO2/FIO2 ratio over time. We included all adult patients admitted to an intensive care unit who met the Berlin criteria for ARDS over a 4-year period in tertiary adult intensive care units in Manitoba, Canada. Baseline demographics were collected along with the daily PaO2/FIO2 ratio collected on admission and on days 1-7, 14 and 28. We used joint growth mixture modeling to test whether ARDS patients exhibit distinct phenotypes with respect to both longitudinal PaO2/FIO2 ratio and survival. The resulting latent classes were compared on several demographic variables. In our study group of 209 patients, we found that four latent trajectory classes of PaO2/FIO2 ratio was optimal. These four classes differed in their baseline PaO2/FIO2 ratio and their trajectory of improvement during the 28 days of the study. Despite similar baseline characteristics the hazard for death for the classes differed over time. This difference was largely driven by withdrawal of life sustaining therapy in one of the classes. Latent classes were identified in the trajectory of the PaO2/FIO2 ratio over time, suggesting the presence of different ARDS phenotypes. Future studies should confirm the existence of this finding and determine the cause of mortality differences between classes.

Rates of readmission and death associated with leaving hospital against medical advice: a population-based study.

BACKGROUND: Leaving hospital against medical advice may have adverse consequences. Previous studies have been limited by evaluating specific types of patients, small sample sizes and incomplete determination of outcomes. We hypothesized that leaving hospital against medical advice would be associated with increases in subsequent readmission and death. METHODS: In a population-based analysis involving all adults admitted to hospital and discharged alive in Manitoba from Apr. 1, 1990, to Feb. 28, 2009, we evaluated all-cause 90-day mortality and 30-day hospital readmission. We used multivariable regression, adjusted for age, sex, socioeconomic status, year of hospital admission, patient comorbidities, hospital diagnosis, past frequency of admission to hospital, having previously left hospital against medical advice and data clustering (patients with multiple admissions). For readmission, we assessed both between-person and within-person effects of leaving hospital against medical advice. RESULTS: Leaving against medical advice occurred in 21 417 of 1 916 104 index hospital admissions (1.1%), and was associated with higher adjusted rates of 90-day mortality (odds ratio [OR] 2.51, 95% confidence interval [CI] 2.18-2.89), and 30-day hospital readmission (within-person OR 2.10, CI 1.99-2.21; between-person OR 3.04, CI 2.79-3.30). In our additional analyses, elevated rates of readmission and death associated with leaving against medical advice were manifest within 1 week and persisted for at least 180 days after discharge. INTERPRETATION: Adults who left the hospital against medical advice had higher rates of hospital readmission and death. The persistence of these effects suggests that they are not solely a result of incomplete treatment of acute illness. Interventions aimed at reducing these effects may need to include longitudinal interventions extending beyond admission to hospital.

Epidemiology of critically ill patients in intensive care units: a population-based observational study.

INTRODUCTION: Epidemiologic assessment of critically ill people in Intensive Care Units (ICUs) is needed to ensure the health care system can meet current and future needs. However, few such studies have been published. METHODS: Population-based analysis of all adult ICU care in the Canadian province of Manitoba, 1999 to 2007, using administrative data. We calculated age-adjusted rates and trends of ICU care, overall and subdivided by age, sex and income. RESULTS: In 2007, Manitoba had a population of 1.2 million, 118 ICU beds in 21 ICUs, for 9.8 beds per 100,000 population. Approximately 0.72% of men and 0.47% of women were admitted to ICUs yearly. The age-adjusted, male:female rate ratio was 1.75 (95% CI 1.64 to 1.88). Mean age was 64.5 ± 16.4 years. Rates rose rapidly after age 40, peaked at age 75 to 80, and declined for the oldest age groups. Rates were higher among residents of lower income areas, for example declining from 7.9 to 4.4 per 100,000 population from the poorest to the wealthiest income quintiles (p <0.0001). Rates of ICU admission slowly declined over time, while cumulative yearly ICU bed-days slowly rose; changes were age-dependent, with faster declines in admission rates with older age. There was a high rate of recidivism; 16% of ICU patients had received ICU care previously. CONCLUSIONS: These temporal trends in ICU admission rates and cumulative bed-days used have significant implications for health system planning. The differences by age, sex and socioeconomic status, and the high rate of recidivism require further research to clarify their causes, and to devise strategies for reducing critical illness in high-risk groups.

A population-based analysis of leaving the hospital against medical advice: incidence and associated variables.

BACKGROUND: Prior studies of patients leaving hospital against medical advice (AMA) have been limited by not being population-based or assessing only one type of patient. METHODS: We used administrative data at the Manitoba Centre for Health Policy to evaluate all adult residents of Manitoba, Canada discharged alive from acute care hospitals between April 1, 1990 and February 28, 2009. We identified the rate of leaving AMA, and used multivariable logistic regression to identify socio-demographic and diagnostic variables associated with leaving AMA. RESULTS: Of 1,916,104 live hospital discharges, 21,417 (1.11%) ended with the patient leaving AMA. The cohort contained 610,187 individuals, of whom 12,588 (2.06%) left AMA once and another 2986 (0.49%) left AMA more than once. The proportion of AMA discharges did not change over time. Alcohol and drug abuse was the diagnostic group with the highest proportion of AMA discharges, at 11.71%. Having left AMA previously had the strongest association with leaving AMA (odds ratio 170, 95% confidence interval 156-185). Leaving AMA was more common among men, those with lower average household incomes, histories of alcohol or drug abuse or HIV/AIDS. Major surgical procedures were associated with a much lower chance of leaving the hospital AMA. CONCLUSIONS: The rate of leaving hospital AMA did not systematically change over time, but did vary based on patient and illness characteristics. Having left AMA in the past was highly predictive of subsequent AMA events.

The accuracy of administrative data for identifying the presence and timing of admission to intensive care units in a Canadian province.

BACKGROUND: A prerequisite for using administrative data to study the care of critically ill patients in intensive care units (ICUs) is that it accurately identifies such care. Only limited data exist on this subject. OBJECTIVE: To assess the accuracy of administrative data in the Canadian province of Manitoba for identifying the existence, number, and timing of admissions to adult ICUs. RESEARCH DESIGN: For the period 1999 to 2008, we compared information about ICU care from Manitoba hospital abstracts, with the criterion standard of a clinical ICU database that includes all admissions to adult ICUs in its largest city of Winnipeg. Comparisons were made before and after a national change in administrative data requirements that mandated specific data elements identifying the existence and timing of ICU care. RESULTS: In both time intervals, hospital abstracts were extremely accurate in identifying the presence of ICU care, with positive predictive values exceeding 98% and negative predictive values exceeding 99%. Administrative data correctly identified the number of separate ICU admissions for 93% of ICU-containing hospitalizations; inaccuracy increased with more ICU stays per hospitalization. Hospital abstracts were highly accurate for identifying the timing of ICU care, but only for hospitalizations containing a single ICU admission. CONCLUSIONS: Under current national-reporting requirements, hospital administrative data in Canada can be used to accurately identify and quantify ICU care. The high accuracy of Manitoba administrative data under the previous reporting standards, which lacked standardized coding elements specific to ICU care, may not be generalizable to other Canadian jurisdictions.

Constructing episodes of inpatient care: data infrastructure for population-based research.

BACKGROUND: Databases used to study the care of patients in hospitals and Intensive Care Units (ICUs) typically contain a separate entry for each segment of hospital or ICU care. However, it is not uncommon for patients to be transferred between hospitals and/or ICUs, and when transfers occur it is necessary to combine individual entries to accurately reconstruct the complete episodes of hospital and ICU care. Failure to do so can lead to erroneous lengths-of-stay, and rates of admissions, readmissions, and death. METHODS: This study used a clinical ICU database and administrative hospital abstracts for the adult population of Manitoba, Canada from 2000-2008. We compared five methods for identifying patient transfers and constructing hospital episodes, and the ICU episodes contained within them. Method 1 ignored transfers. Methods 2-5 considered the time gap between successive entries (≤1 day vs. ≤2 days), with or without use of data fields indicating inter-hospital transfer. For the five methods we compared the resulting number and lengths of hospital and ICU episodes. RESULTS: During the study period, 48,551 hospital abstracts contained 53,246 ICU records. For Method 1 these were also the number of hospital and ICU episodes, respectively. Methods 2-5 gave remarkably similar results, with transfers included in approximately 25% of ICU-containing hospital episodes, and 10% of ICU episodes. Comparison with Method 1 showed that failure to account for such transfers resulted in overestimating the number of episodes by 7-10%, and underestimating mean or median lengths-of-stay by 9-30%. CONCLUSIONS: In Manitoba is it not uncommon for critically ill patients to be transferred between hospitals and between ICUs. Failure to account for transfers resulted in inaccurate assessment of parameters relevant to researchers, clinicians, and policy-makers. The details of the method used to identify transfers, at least among the variations tested, made relatively little difference. In addition, we showed that these methods for constructing episodes of hospital and ICU care can be implemented in a large, complex dataset.