Socioeconomic Position and Health Outcomes Following Critical Illness: A Systematic Review

Using the Outcome and Assessment Information Set to Measure Patient Health Status in Research: A Systematic Review

OBJECTIVES

To review, evaluate, and synthesize existing literature on how health status changes were measured using the Outcome and Assessment Information Set (OASIS).

DESIGN

Systematic review.

SETTING AND PARTICIPANTS

Studies were included if they examined the health status of adult patients at 2 or more time points using OASIS, which is a comprehensive assessment tool mandated for home health (HH) patients.

METHODS

A systematic search was conducted in PubMed, CINAHL, Embase, and Scopus. The methodological quality of the included studies was appraised using the National Institutes of Health quality assessment tool.

RESULTS

The initial search yielded 1587 citations, resulting in 27 eligible studies published between 2005 and 2022. All included studies were retrospective cohort studies, with overall quality ranging from good to fair. These studies primarily targeted patients with heart failure, with sample sizes between 40 and 6,637,497 and mean ages of 61.2 to 82.4 years. OASIS version C was the most used version, comparing health status at admission and discharge. Patient health status outcomes encompassed functional (n = 24), physiological (n = 6), emotional/behavioral (n = 4), and cognitive (n = 2) outcomes. Various techniques were employed for scale standardization, compositing individual scores, measuring changes, and reporting outcomes. The predominant methods for assessing change included the corrected Likert scale for standardization, composite change scores for change calculation, and continuous outcomes for reporting.

CONCLUSION AND IMPLICATIONS

Researchers have used OASIS to assess patient health status changes in functional, physiological, emotional/behavioral, and cognitive outcomes during the HH episode. Variations in OASIS items and assessment methods across studies have been observed. Our findings underscore the need to standardize item application in research, enabling researchers to synthesize evidence effectively and enhance understanding of patient recovery and HH services. For policymakers and health care providers, these insights could inform resource allocation, care planning, and tailored interventions, ultimately improving health care quality and efficiency.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia

BACKGROUND

Critical care survivors experience multiple care transitions, with no formal follow-up care pathway.

RESEARCH QUESTION

What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas?

STUDY DESIGN AND METHODS

This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network.

RESULTS

Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, eight GPs, 15 patients, and eight caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding.

INTERPRETATION

Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

An Exploratory Analysis of Sociodemographic Factors Associated With Physical Functional Impairment in ICU Survivors

IMPORTANCE

Physical functional impairment is one of three components of postintensive care syndrome (PICS) that affects up to 60% of ICU survivors.

OBJECTIVES

To explore the prevalence of objective physical functional impairment among a diverse cohort of ICU survivors, both at discharge and longitudinally, and to highlight sociodemographic factors that might be associated with the presence of objective physical functional impairment.

DESIGN, SETTING, AND PARTICIPANTS

This was a secondary analysis of 37 patients admitted to the ICU in New Orleans, Louisiana, and Denver, Colorado between 2016 and 2019 who survived with longitudinal follow-up data.

MAIN OUTCOMES AND MEASURES

Our primary outcome of physical functional impairment was defined by handgrip strength and the short physical performance battery. We explored associations between functional impairment and sociodemographic factors that included race/ethnicity, sex, primary language, education status, and medical comorbidities.

RESULTS

More than 75% of ICU survivors were affected by physical functional impairment at discharge and longitudinally at 3- to 6-month follow-up. We did not see a significant difference in the proportion of patients with physical functional impairment by race/ethnicity, primary language, or education status. Impairment was relatively higher in the follow-up period among women, compared with men, and those with comorbidities. Among 18 patients with scores at both time points, White patients demonstrated greater change in handgrip strength than non-White patients. Four non-White patients demonstrated diminished handgrip strength between discharge and follow-up.

CONCLUSIONS AND RELEVANCE

In this exploratory analysis, we saw that the prevalence of objective physical functional impairment among ICU survivors was high and persisted after hospital discharge. Our findings suggest a possible relationship between race/ethnicity and physical functional impairment. These exploratory findings may inform future investigations to evaluate the impact of sociodemographic factors on functional recovery.

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study

BACKGROUND

The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies.

METHODS

Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models.

RESULTS

A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96).

CONCLUSIONS

In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Effects of education, income and employment on ICU and post-ICU survival - A nationwide Swedish cohort study of individual-level data with 1-year follow up

PURPOSE

The aim of this study was to examine relationships between education, income, and employment (socioeconomic status, SES) and intensive care unit (ICU) survival and survival 1 year after discharge from ICU (Post-ICU survival).

METHODS

Individual data from ICU patients were linked to register data of education level, disposable income, employment status, civil status, foreign background, comorbidities, and vital status. Associations between SES, ICU survival and 1-year post-ICU survival was analysed using Cox's regression.

RESULTS

We included 58,279 adults (59% men, median length of stay in ICU 4.0 days, median SAPS3 score 61). Survival rates at discharge from ICU and one year after discharge were 88% and 63%, respectively. Risk of ICU death (Hazard ratios, HR) was significantly higher in unemployed and retired compared to patients who worked prior to admission (1.20; 95% CI: 1.10-1.30 and 1.15; (1.07-1.24), respectively. There was no consistent association between education, income and ICU death. Risk of post-ICU death decreased with greater income and was roughly 16% lower in the highest compared to lowest income quintile (HR 0.84; 0.79-0.88). Higher education levels appeared to be associated with reduced risk of death during the first year after ICU discharge.

CONCLUSIONS

Significant relationships between low SES in the critically ill and increased risk of death indicate that it is important to identify and support patients with low SES to improve survival after intensive care. Studies of survival after critical illness need to account for participants SES.

Socioeconomic Status and Dementia Risk Among Intensive Care Unit Survivors: Using National Health Insurance Cohort in Korea

BACKGROUND

In aging populations, more elderly patients are going to the intensive care unit (ICU) and surviving. However, the specific factors influencing the occurrence of post-intensive care syndrome in the elderly remain uncertain.

OBJECTIVE

To investigate the association between socioeconomic status (SES) and risk of developing dementia within two years following critical care.

METHODS

This study included participants from the Korean National Health Insurance Service Cohort Database who had not been diagnosed with dementia and had been hospitalized in the ICU from 2003 to 2019. Dementia was determined using specific diagnostic codes (G30, G31) and prescription of certain medications (rivastigmine, galantamine, memantine, or donepezil). SES was categorized into low (medical aid beneficiaries) and non-low (National Health Insurance) groups. Through a 1:3 propensity score matching based on sex, age, Charlson comorbidity index, and primary diagnosis, the study included 16,780 patients. We used Cox proportional hazard models to estimate adjusted hazard ratios (HR) of dementia.

RESULTS

Patients with low SES were higher risk of developing dementia within 2 years after receiving critical care than those who were in non-low SES (HR: 1.23, 95% CI: 1.04-1.46). Specifically, patients with low SES and those in the high-income group exhibited the highest incidence rates of developing dementia within two years after receiving critical care, with rates of 3.61 (95% CI: 3.13-4.17) for low SES and 2.58 (95% CI: 2.20-3.03) for high income, respectively.

CONCLUSIONS

After discharge from critical care, compared to the non-low SES group, the low SES group was associated with an increased risk of developing dementia.

Do critical illness survivors with multimorbidity need a different model of care?

There is currently a lack of evidence on the optimal strategy to support patient recovery after critical illness. Previous research has largely focussed on rehabilitation interventions which aimed to address physical, psychological, and cognitive functional sequelae, the majority of which have failed to demonstrate benefit for the selected outcomes in clinical trials. It is increasingly recognised that a person's existing health status, and in particular multimorbidity (usually defined as two or more medical conditions) and frailty, are strongly associated with their long-term outcomes after critical illness. Recent evidence indicates the existence of a distinct subgroup of critical illness survivors with multimorbidity and high healthcare utilisation, whose prior health trajectory is a better predictor of long-term outcomes than the severity of their acute illness. This review examines the complex relationships between multimorbidity and patient outcomes after critical illness, which are likely mediated by a range of factors including the number, severity, and modifiability of a person's medical conditions, as well as related factors including treatment burden, functional status, healthcare delivery, and social support. We explore potential strategies to optimise patient recovery after critical illness in the presence of multimorbidity. A comprehensive and individualized approach is likely necessary including close coordination among healthcare providers, medication reconciliation and management, and addressing the physical, psychological, and social aspects of recovery. Providing patient-centred care that proactively identifies critical illness survivors with multimorbidity and accounts for their unique challenges and needs is likely crucial to facilitate recovery and improve outcomes.

Responsiveness of Critically Ill Adults With Multimorbidity to Rehabilitation Interventions: A Patient-Level Meta-Analysis Using Individual Pooled Data From Four Randomized Trials

OBJECTIVE

To explore if patient characteristics (pre-existing comorbidity, age, sex, and illness severity) modify the effect of physical rehabilitation (intervention vs control) for the coprimary outcomes health-related quality of life (HRQoL) and objective physical performance using pooled individual patient data from randomized controlled trials (RCTs).

DATA SOURCES

Data of individual patients from four critical care physical rehabilitation RCTs.

STUDY SELECTION

Eligible trials were identified from a published systematic review.

DATA EXTRACTION

Data sharing agreements were executed permitting transfer of anonymized data of individual patients from four trials to form one large, combined dataset. The pooled trial data were analyzed with linear mixed models fitted with fixed effects for treatment group, time, and trial.

DATA SYNTHESIS

Four trials contributed data resulting in a combined total of 810 patients (intervention n = 403, control n = 407). After receiving trial rehabilitation interventions, patients with two or more comorbidities had HRQoL scores that were significantly higher and exceeded the minimal important difference at 3 and 6 months compared with the similarly comorbid control group (based on the Physical Component Summary score (Wald test p = 0.041). Patients with one or no comorbidities who received intervention had no HRQoL outcome differences at 3 and 6 months when compared with similarly comorbid control patients. No patient characteristic modified the physical performance outcome in patients who received physical rehabilitation.

CONCLUSIONS

The identification of a target group with two or more comorbidities who derived benefits from the trial interventions is an important finding and provides direction for future investigations into the effect of rehabilitation. The multimorbid post-ICU population may be a select population for future prospective investigations into the effect of physical rehabilitation.

Disparities among patients with respiratory failure

PURPOSE OF REVIEW

Disparities are common within healthcare, and critical illness is no exception. This review summarizes recent literature on health disparities within respiratory failure, focusing on race, ethnicity, socioeconomic status, and sex.

RECENT FINDINGS

Current evidence indicates that Black patients have higher incidence of respiratory failure, while the relationships among race, ethnicity, and mortality remains unclear. There has been renewed interest in medical device bias, specifically pulse oximetry, for which data demonstrate patients with darker skin tones may be at risk for undetected hypoxemia and worse outcomes. Lower socioeconomic status is associated with higher mortality, and respiratory failure can potentiate socioeconomic inequities via illness-related financial toxicity. Literature on sex-based disparities is limited; however, evidence suggests males receive more invasive care, including mechanical ventilation.

SUMMARY

Most studies focused on disparities in incidence and mortality associated with respiratory failure, but few relied on granular clinical data of patients from diverse backgrounds. Future studies should evaluate processes of care for respiratory failure that may mechanistically contribute to disparities in order to develop interventions that improve outcomes.

Agreement between individual and neighborhood income measures in patients with colorectal cancer in Canada

INTRODUCTION

With increasing interest in income-related differences in cancer outcomes, accurate measurement of income is imperative. Misclassification of income can result in wrong conclusions as to the presence of income inequalities. We determined misclassification between individual- and neighborhood-level income and their association with overall survival among colorectal cancer (CRC) patients.

METHODS

The Canadian Census Health and Environment Cohorts were used to identify CRC patients diagnosed from 1992 to 2017. We used neighborhood income quintiles from Statistics Canada and created individual income quintiles from the same data sources to be as similar as possible. Agreement between individual and neighborhood income quintiles was measured using cross-tabulations and weighted kappa statistics. Cox proportional hazards and Lin semiparametric hazards models were used to determine the effects of individual and neighborhood income independently and jointly on survival. Analyses were also stratified by rural residence.

RESULTS

A total of 103 530 CRC patients were included in the cohort. There was poor agreement between individual and neighborhood income with only 17% of respondents assigned to the same quintile (weighted kappa = 0.18). Individual income had a greater effect on relative and additive survival than neighborhood income when modeled separately. The interaction between individual and neighborhood income demonstrated that the most at risk for poor survival were those in the lowest individual and neighborhood income quintiles. Misclassification was more likely to occur for patients residing in rural areas.

CONCLUSION

Cancer researchers should avoid using neighborhood income as a proxy for individual income, especially among patients with cancers with demonstrated inequalities by income.

Association Between Socioeconomic Status and Outcomes in Critical Care: A Systematic Review and Meta-Analysis

OBJECTIVES

Socioeconomic status is well established as a key determinant of inequalities in health outcomes. Existing literature examining the impact of socioeconomic status on outcomes in critical care has produced inconsistent findings. Our objective was to synthesize the available evidence on the association between socioeconomic status and outcomes in critical care.

DATA SOURCES

A systematic search of CINAHL, Ovid MEDLINE, and EMBASE was undertaken on September 13, 2022.

STUDY SELECTION

Observational cohort studies of adults assessing the association between socioeconomic status and critical care outcomes including mortality, length of stay, and functional outcomes were included. Two independent reviewers assessed titles, abstracts, and full texts against eligibility and quality criteria.

DATA EXTRACTION

Details of study methodology, population, exposure measures, and outcomes were extracted.

DATA SYNTHESIS

Thirty-eight studies met eligibility criteria for systematic review. Twenty-three studies reporting mortality to less than or equal to 30 days following critical care admission, and eight reporting length of stay, were included in meta-analysis. Random-effects pooled analysis showed that lower socioeconomic status was associated with higher mortality at less than or equal to 30 days following critical care admission, with pooled odds ratio of 1.13 (95% CIs, 1.05-1.22). Meta-analysis of ICU length of stay demonstrated no significant difference between socioeconomic groups. Socioeconomic status may also be associated with functional status and discharge destination following ICU admission.

CONCLUSIONS

Lower socioeconomic status was associated with higher mortality following admission to critical care.

Long-term recovery after critical illness in older adults

PURPOSE OF REVIEW

The population is aging, and recent epidemiologic work reveals that an increasing number of older adults are presenting to the ICU with preexisting geriatric syndromes. In this update, we discuss recent literature pertaining to the long-term recovery of older ICU patients and highlight gaps in current knowledge.

RECENT FINDINGS

A recent longitudinal study demonstrated that the incidence of frailty, disability, and multimorbidity among older ICU patients is rising; these geriatric syndromes have all previously been shown to impact long-term recovery. Recent studies have demonstrated the impact of social factors in long-term outcomes after critical illness; for example, social isolation was recently shown to be associated with disability and mortality among older adults in the year after critical illness. Socioeconomic disadvantage is associated with higher rates of dementia and disability following critical illness impacting recovery, and further studies are necessary to better understand factors influencing this disparity. The COVID-19 pandemic disproportionately impacted older adults, resulting in worse outcomes and increased rates of functional decline and social isolation. In considering how to best facilitate recovery for older ICU survivors, transitional care programs may address the unique needs of older adults and help them adapt to new disability if recovery has not been achieved.

SUMMARY

Recent work demonstrates increasing trends of geriatric syndromes in the ICU, all of which are known to confer increased vulnerability among critically ill older adults and decrease the likelihood of post-ICU recovery. Risk factors are now known to extend beyond geriatric syndromes and include social risk factors and structural inequity. Strategies to improve post-ICU recovery must be viewed with a lens across the continuum of care, with post-ICU recovery programs targeted to the unique needs of older adults.

Social determinants of recovery

PURPOSE OF REVIEW

The purpose of this review is to examine evidence describing the influence of social determinants on recovery following hospitalization with critical illness. In addition, it is meant to provide insight into the several mechanisms through which social factors influence recovery as well as illuminate approaches to addressing these factors at various levels in research, clinical care, and policy.

RECENT FINDINGS

Social determinants of health, ranging from individual factors like social support and socioeconomic status to contextual ones like neighborhood deprivation, are associated with disability, cognitive impairment, and mental health after critical illness. Furthermore, many social factors are reciprocally related to recovery wherein the consequences of critical illness such as financial toxicity and caregiver burden can put essential social needs under strain turning them into barriers to recovery.

SUMMARY

Recovery after hospitalization for critical illness may be influenced by many social factors. These factors warrant attention by clinicians, health systems, and policymakers to enhance long-term outcomes of critical illness survivors.

Association Between Socioeconomic Disadvantage and Decline in Function, Cognition, and Mental Health After Critical Illness Among Older Adults : A Cohort Study

BACKGROUND

Older adults admitted to an intensive care unit (ICU) are at risk for developing impairments in function, cognition, and mental health. It is not known whether socioeconomically disadvantaged older persons are at greater risk for these impairments than their less vulnerable counterparts.

OBJECTIVE

To evaluate the association between socioeconomic disadvantage and decline in function, cognition, and mental health among older survivors of an ICU hospitalization.

DESIGN

Retrospective analysis of a longitudinal cohort study.

SETTING

Community-dwelling older adults in the National Health and Aging Trends Study (NHATS).

PARTICIPANTS

Participants with ICU hospitalizations between 2011 and 2017.

MEASUREMENTS

Socioeconomic disadvantage was assessed as dual-eligible Medicare-Medicaid status. The outcome of function was defined as the count of disabilities in 7 activities of daily living and mobility tasks, the cognitive outcome as the transition from no or possible to probable dementia, and the mental health outcome as the Patient Health Questionnaire-4 score in the NHATS interview after ICU hospitalization. The analytic sample included 641 ICU hospitalizations for function, 458 for cognition, and 519 for mental health.

RESULTS

After accounting for sociodemographic and clinical characteristics, dual eligibility was associated with a 28% increase in disability after ICU hospitalization (incidence rate ratio, 1.28; 95% CI, 1.00 to 1.64); and nearly 10-fold greater odds of transitioning to probable dementia (odds ratio, 9.79; 95% CI, 3.46 to 27.65). Dual eligibility was not associated with symptoms of depression and anxiety after ICU hospitalization (incidence rate ratio, 1.33; 95% CI, 0.99 to 1.79).

LIMITATION

Administrative data, variability in timing of baseline and outcome assessments, proxy selection.

CONCLUSION

Dual-eligible older persons are at greater risk for decline in function and cognition after an ICU hospitalization than their more advantaged counterparts. This finding highlights the need to prioritize low-income seniors in rehabilitation and recovery efforts after critical illness and warrants investigation into factors leading to this disparity.

PRIMARY FUNDING SOURCE

National Institute on Aging.

Long-term outcomes of hospital survivors following an ICU stay: A multi-centre retrospective cohort study

Background

The focus of much Intensive Care research has been on short-term survival, which has demonstrated clear improvements over time. Less work has investigated long-term survival, and its correlates. This study describes long-term survival and identifies factors associated with time to death, in patients who initially survived an Intensive Care admission in Victoria, Australia.

Methods

We conducted a retrospective cohort study of adult patients discharged alive from hospital following admission to all Intensive Care Units (ICUs) in the state of Victoria, Australia between July 2007 and June 2018. Using the Victorian Death Registry, we determined survival of patients beyond hospital discharge. Comparisons between age matched cohorts of the general population were made. Cox regression was employed to investigate factors associated with long-term survival.

Results

A total of 130,775 patients from 23 ICUs were included (median follow-up 3.6 years post-discharge). At 1-year post-discharge, survival was 90% compared to the age-matched cohort of 98%. All sub-groups had worse long-term survival than their age-matched general population cohort, apart from elderly patients admitted following cardiac surgery who had better or equal survival. Multiple demographic, socio-economic, diagnostic, acute and chronic illness factors were associated with long-term survival.

Conclusions

Australian patients admitted to ICU who survive to discharge have worse long-term survival than the general population, except for the elderly admitted to ICU following cardiac surgery. These findings may assist during goal-of-care discussions with patients during an ICU admission.

Neighborhood Socioeconomic Disadvantage and Disability After Critical Illness

OBJECTIVES

Factors common to socioeconomically disadvantaged neighborhoods, such as low availability of transportation, may limit access to restorative care services for critical illness survivors. Our primary objective was to evaluate whether neighborhood socioeconomic disadvantage was associated with an increased disability burden after critical illness. Our secondary objective was to determine if the effect differed for those discharged to the community compared with those discharged to a facility.

DESIGN

Longitudinal cohort study with linked Medicare claims data.

SETTING

United States.

PATIENTS

One hundred ninety-nine older adults, contributing to 239 ICU admissions, who underwent monthly assessments of disability for 12 months following hospital discharge in 13 different functional tasks from 1998 to 2017.

MEASUREMENTS AND MAIN RESULTS

Neighborhood disadvantage was assessed using the area deprivation index, a 1-100 ranking evaluating poverty, housing, and employment metrics. Those living in disadvantaged neighborhoods (top quartile of scores) were less likely to self-identify as non-Hispanic White compared with those in more advantaged neighborhoods. In adjusted models, older adults living in disadvantaged neighborhoods had a 9% higher disability burden over the 12 months following ICU discharge compared with those in more advantaged areas (rate ratio, 1.09; 95% Bayesian credible interval, 1.02-1.16). In the secondary analysis adjusting for discharge destination, neighborhood disadvantage was associated with a 14% increase in disability burden over 12 months of follow-up (rate ratio, 1.14; 95% credible interval, 1.07-1.21). Disability burden was 10% higher for those living in disadvantaged neighborhoods and discharged home as compared with those discharged to a facility, but this difference was not statistically significant (interaction rate ratio, 1.10; 95% credible interval, 0.98-1.25).

CONCLUSIONS

Neighborhood socioeconomic disadvantage is associated with a higher disability burden in the 12 months after a critical illness. Future studies should evaluate barriers to functional recovery for ICU survivors living in disadvantaged neighborhoods.

Social Determinants of Health and Delirium Occurrence and Duration in Critically Ill Adults

Social determinants of health may affect ICU outcome, but the association between social determinants of health and delirium remains unclear. We evaluated the association between three social determinants of health and delirium occurrence and duration in critically ill adults.

The impact of distance on post-ICU disability

BACKGROUND

Nonurban residential living is associated with adverse outcomes for a number of chronic health conditions. However, it is unclear what effect it has amongst survivors of critical illness.

OBJECTIVES

The purpose of this study is to determine whether patients living greater than 50 km from the treating intensive care unit (ICU) have disability outcomes at 6 months that differ from people living within 50 km.

METHODS

This was a multicentre, prospective cohort study conducted in five metropolitan ICUs. Participants were adults admitted to the ICU, who received >24 h of mechanical ventilation and survived to hospital discharge. In a secondary analysis of these data, the cohort was dichotomised based on residential distance from the treating ICU: <50 km and ≥50 km. The primary outcome was patient-reported disability using the 12-item World Health Organization's Disability Assessment Schedule (WHODAS 2.0). This was recorded at 6 months after ICU admission by telephone interview. Secondary outcomes included health status as measured by EQ-5D-5L return to work and psychological function as measured by the Hospital Anxiety and Depression Scale (HADS). Multivariable logistic regression was used to assess the association between distance from the ICU and moderate to severe disability, adjusted for potential confounders. Variables included in the multivariable model were deemed to be clinically relevant and had baseline imbalance between groups (p < 0.10). These included marital status and hours of mechanical ventilation. Sensitivity analysis was also conducted using distance in kilometres as a continuous variable.

RESULTS

A total of 262 patients were enrolled, and 169 (65%) lived within 50 km of the treating ICU and 93 (35%) lived ≥50 km from the treating ICU (interquartile range [IQR] 10-664 km). There was no difference in patient-reported disability at 6 months between patients living <50 km and those living ≥50 km (WHODAS total disability % [IQR] 10.4 [2.08-25] v 14.6 [2.08-20.8], P = 0.74). There was also no difference between groups for the six major life domains of the WHODAS. There was no difference in rates of anxiety or depression as measured by HADS score (HADS anxiety median [IQR] 4 [1-7] v 3 [1-7], P = 0.60) (HADS depression median [IQR] 3 [1-6] v 3 [1-6], P = 0.62); health status as measured by EQ-5D (mean [SD] 66.7 [20] v 69.8 [22.2], P = 0.24); or health-related unemployment (% (N) 39 [26] v 25 [29.1], P = 0.61). After adjusting for confounders, living ≥50 km from the treating ICU was not associated with increased disability (odds ratio 0.61, 95% confidence interval: 0.33-1.16; P = 0.13) CONCLUSIONS: Survivors of intensive care in Victoria, Australia, who live at least 50 km from the treating ICU did not have greater disability than people living less than 50 km at 6 months after discharge. Living 50 km or more from the treating ICU was not associated with disability, nor was it associated with anxiety or depression, health status, or unemployment due to health.

An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study

BACKGROUND

Little is known about the impact of socioeconomic status (SES) as a key element of social determinants of health on intensive care unit (ICU) outcomes for adults.

OBJECTIVE

We assessed whether a validated individual SES index termed HOUSES (HOUsing-based SocioEconomic status index) derived from housing features was associated with short-term outcomes of critical illness including ICU mortality, ICU-free days, hospital-free days, and ICU readmission.

METHODS

We performed a population-based cohort study of adult patients living in Olmsted County, Minnesota, admitted to 7 intensive care units at Mayo Clinic from 2011 to 2014. We compared outcomes between the lowest SES group (HOUSES quartile 1 [Q1]) and the higher SES group (HOUSES Q2-4). We stratified the cohort based on age (<50 years old and ≥50 years old).

RESULTS

Among 4134 eligible patients, 3378 (82%) patients had SES successfully measured by the HOUSES index. Baseline characteristics, severity of illness, and reason for ICU admission were similar among the different SES groups as measured by HOUSES except for larger number of intoxications and overdoses in younger patients from the lowest SES. In all adult patients, there were no overall differences in mortality, ICU-free days, hospital-free days, or ICU readmissions in patients with higher SES compared to lower SES. Among older patients (>50 years), those with higher SES (HOUSES Q2-4) compared to those with lower SES (HOUSES Q1) had lower mortality rates (hazard ratio = 0.72; 95% CI: 0.56-0.93; adjusted P = .01), increased ICU-free days (mean 1.08 days; 95% CI: 0.34-1.84; adjusted P = .004), and increased hospital-free days (mean 1.20 days; 95% CI: 0.45-1.96; adjusted P = .002). There were no differences in ICU readmission rates (OR = 0.74; 95% CI: 0.55-1.00; P = .051).

CONCLUSION

Individual-level SES may be an important determinant or predictor of critical care outcomes in older adults. Housing-based socioeconomic status may be a useful tool for enhancing critical care research and practice.

Multimorbidity and its relationship with long-term outcomes following critical care discharge: a prospective cohort study

Background

Survivors of critical illness have poor long-term outcomes with subsequent increases in health care utilization. Less is known about the interplay between multimorbidity and long-term outcomes.

Research Question

How do baseline patient demographics impact mortality and health care utilization in the year after discharge from critical care?

Study Design and Methods

Using data from a prospectively collected cohort, we used propensity score matching to assess differences in outcomes between patients with a critical care encounter and patients admitted to the hospital without critical care. Long-term mortality was examined via nationally linked data as was hospital resource use in the year after hospital discharge. The cause of death was also examined.

Results

This analysis included 3,112 participants. There was no difference in long-term mortality between the critical care and hospital cohorts (adjusted hazard ratio, 1.09; 95% CI, 0.90-1.32; P = .39). Prehospitalization emotional health issues (eg, clinical diagnosis of depression) were associated with increased long-term mortality (hazard ratio, 1.49; 95% CI, 1.14-1.96; P < .004). Health care utilization was different between the two cohorts in the year after discharge with the critical care cohort experiencing a 29% increased risk of hospital readmission (OR, 1.29; 95% CI, 1.11-1.50; P = .001).

Interpretation

This national cohort study has demonstrated increased resource use for critical care survivors in the year after discharge but fails to replicate past findings of increased longer-term mortality. Multimorbidity, lifestyle factors, and socioeconomic status appear to influence long-term outcomes and should be the focus of future research.

Associations Between Socioeconomic Status, Patient Risk, and Short-Term Intensive Care Outcomes

OBJECTIVES

To investigate the association of socioeconomic status as measured by the average socioeconomic status of the area where a person resides on short-term mortality in adults admitted to an ICU in Queensland, Australia.

DESIGN

Secondary data analysis using de-identified data from the Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation linked to the publicly available area-level Index of Relative Socioeconomic Advantage and Disadvantage from the Australian Bureau of Statistics.

SETTING

Adult ICUs from 35 hospitals in Queensland, Australia, from 2006 to 2015.

PATIENTS

A total of 218,462 patient admissions.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The outcome measure was inhospital mortality. The main study variable was decile of Index of Relative Socioeconomic Advantage and Disadvantage. The overall crude inhospital mortality was 7.8%; 9% in the most disadvantaged decile and 6.9% in the most advantaged decile (p < 0.001). Increasing socioeconomic disadvantage was associated with increasing severity of illness as measured by Acute Physiology and Chronic Health Evaluation III score, admission with a diagnosis of sepsis or trauma, cardiac, respiratory, renal, and hepatic comorbidities, and remote location. Increasing socioeconomic advantage was associated with elective surgical admission, hematological and oncology comorbidities, and admission to a private hospital (all p < 0.001). After excluding patients admitted after elective surgery, in the remaining 106,843 patients, the inhospital mortality was 13.6%, 13.3% in the most disadvantaged, and 14.1% in the most advantaged. There was no trend in mortality across deciles of socioeconomic status after excluding elective surgery patients. In the logistic regression model adjusting for severity of illness and diagnosis, there was no statistically significant difference in the odds ratio of inhospital mortality for the most disadvantaged decile compared with other deciles. This suggests variables used for risk adjustment may lie on the causal pathway between socioeconomic status and outcome in ICU patients.

CONCLUSIONS

Socioeconomic status as defined as Index of Relative Socioeconomic Advantage and Disadvantage of the area in which a patient lives was associated with ICU admission diagnosis, comorbidities, severity of illness, and crude inhospital mortality in this study. Socioeconomic status was not associated with inhospital mortality after excluding elective surgical patients or when adjusted for severity of illness and admission diagnosis. Commonly used measures for risk adjustment in intensive care improve understanding of the pathway between socioeconomic status and outcomes.

Theorising survivorship after intensive care: A systematic review of patient and family experiences

AIMS AND OBJECTIVE

This systematic literature review explores and maps what we know about survivorship to understand how survivorship can be theoretically defined.

BACKGROUND

Survivorship of critical illness has been identified as a challenge for the 21st Century. Whilst the use of the term 'survivorship' is now common in critical care, it has been borrowed from the cancer literature where the discourse on what survivorship means in a cancer context is ongoing and remains largely descriptive. In the absence of a theoretical understanding, the term 'survivorship' is often used in critical illness in a generic way, limiting our understanding of what survivorship is. The current COVID-19 pandemic adds to an urgency of understanding what intensive care unit (ICU) survivorship might mean, given the emerging long-term consequences of this patient cohort. We set out to explore how survivorship after critical illness is being conceptualised and what the implications might be for clinical practice and research.

DESIGN

Integrated systematic literature review. The review protocol was registered with PROSPERO International Prospective Register of Systematic Reviews. PRISMA guidelines were followed and a PRISMA checklist for reporting systematic reviews completed.

RESULTS

The three main themes around which the reviewed studies were organised are: (a) healthcare system; (b) ICU survivors' families; and (c) ICU survivor's identity. These three themes feed into an overarching core theme of 'ICU Survivorship Experiences'. These themes map our current knowledge of what happens when a patient survives a critical illness and where we are in understanding ICU survivorship.

CONCLUSION

We mapped in this systematic review the different pieces of the jigsaw that emerge following critical illness to understand and see the bigger picture of what happens after patients survive critical illness. It is evident that existing research has mapped these connections, but what we have not managed to do yet is defining what survivorship is theoretically. We offer a preliminary definition of survivorship as a process but are aware that this definition needs to be developed further with patients and families.

Prevalence of post-intensive care syndrome among Japanese intensive care unit patients: a prospective, multicenter, observational J-PICS study

Background

Many studies have compared quality of life of post-intensive care syndrome (PICS) patients with age-matched population-based controls. Many studies on PICS used the 36-item Short Form (SF-36) health survey questionnaire version 2, but lack the data for SF-36 values before and after intensive care unit (ICU) admission. Thus, clinically important changes in the parameters of SF-36 are unknown. Therefore, we determined the frequency of co-occurrence of PICS impairments at 6 months after ICU admission. We also evaluated the changes in SF-36 subscales and interpreted the patients’ subjective significance of impairment.

Methods

A prospective, multicenter, observational cohort study was conducted in 16 ICUs across 14 hospitals in Japan. Adult ICU patients expected to receive mechanical ventilation for > 48 h were enrolled, and their 6-month outcome was assessed using the questionnaires. PICS definition was based on the physical status, indicated by the change in SF-36 physical component score (PCS) ≥ 10 points; mental status, indicated by the change in SF-36 mental component score (MCS) ≥ 10 points; and cognitive function, indicated by the worsening of Short-Memory Questionnaire (SMQ) score and SMQ score at 6 months < 40. Multivariate logistic regression model was used to identify the factors associated with PICS occurrence. The patients’ subjective significance of physical and mental symptoms was assessed using the 7-scale Global Assessment Rating to evaluate minimal clinically important difference (MCID).

Results

Among 192 patients, 48 (25%) died at 6 months. Among the survivors at 6 months, 96 patients responded to the questionnaire; ≥ 1 PICS impairment occurred in 61 (63.5%) patients, and ≥ 2 occurred in 17 (17.8%) patients. Physical, mental, and cognitive impairments occurred in 32.3%, 14.6% and 37.5% patients, respectively. Population with only mandatory education was associated with PICS occurrence (odds ratio: 4.0, 95% CI 1.1–18.8, P = 0.029). The MCID of PCS and MCS scores was 6.5 and 8.0, respectively.

Conclusions

Among the survivors who received mechanical ventilation, 64% had PICS at 6 months; co-occurrence of PICS impairments occurred in 20%. PICS was associated with population with only mandatory education. Future studies elucidating the MCID of SF-36 scores among ICU patients and standardizing the PICS definition are required.

Trial registration UMIN000034072.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-021-03501-z.

Implications for post critical illness trial design: sub-phenotyping trajectories of functional recovery among sepsis survivors

BACKGROUND

Patients who survive critical illness suffer from a significant physical disability. The impact of rehabilitation strategies on health-related quality of life is inconsistent, with population heterogeneity cited as one potential confounder. This secondary analysis aimed to (1) examine trajectories of functional recovery in critically ill patients to delineate sub-phenotypes and (2) to assess differences between these cohorts in both clinical characteristics and clinimetric properties of physical function assessment tools.

METHODS

Two hundred ninety-one adult sepsis survivors were followed-up for 24 months by telephone interviews. Physical function was assessed using the Physical Component Score (PCS) of the Short Form-36 Questionnaire (SF-36) and Activities of Daily Living and the Extra Short Musculoskeletal Function Assessment (XSFMA-F/B). Longitudinal trajectories were clustered by factor analysis. Logistical regression analyses were applied to patient characteristics potentially determining cluster allocation. Responsiveness, floor and ceiling effects and concurrent validity were assessed within clusters.

RESULTS

One hundred fifty-nine patients completed 24 months of follow-up, presenting overall low PCS scores. Two distinct sub-cohorts were identified, exhibiting complete recovery or persistent impairment. A third sub-cohort could not be classified into either trajectory. Age, education level and number of co-morbidities were independent determinants of poor recovery (AUROC 0.743 ((95%CI 0.659-0.826), p < 0.001). Those with complete recovery trajectories demonstrated high levels of ceiling effects in physical function (PF) (15%), role physical (RP) (45%) and body pain (BP) (57%) domains of the SF-36. Those with persistent impairment demonstrated high levels of floor effects in the same domains: PF (21%), RP (71%) and BP (12%). The PF domain demonstrated high responsiveness between ICU discharge and at 6 months and was predictive of a persistent impairment trajectory (AUROC 0.859 (95%CI 0.804-0.914), p < 0.001).

CONCLUSIONS

Within sepsis survivors, two distinct recovery trajectories of physical recovery were demonstrated. Older patients with more co-morbidities and lower educational achievements were more likely to have a persistent physical impairment trajectory. In regard to trajectory prediction, the PF score of the SF-36 was more responsive than the PCS and could be considered for primary outcomes. Future trials should consider adaptive trial designs that can deal with non-responders or sub-cohort specific outcome measures more effectively.

Searching for the Responder, Unpacking the Physical Rehabilitation Needs of Critically Ill Adults: A REVIEW

Survivors of critical illness can experience persistent deficits in physical function and poor health-related quality of life and utilize significant health care resources. Short-term improvements in these outcomes have been reported following physical rehabilitation. Safety and feasibility of delivering physical rehabilitation are established; however, low physical activity levels are observed throughout the recovery of patients. We provide examples on how physical activity may be increased through interdisciplinary models of service delivery. Recently, however, there has been an emergence of large randomized controlled trials reporting no effect on long-term patient outcomes. In this review, we use a proposed theoretical construct to unpack the findings of 12 randomized controlled trials that delivered physical rehabilitation during the acute hospital stay. We describe the search for the responder according to modifiers of treatment effect for physical function, health-related quality of life, and health care utilization outcomes. In addition, we propose tailoring and timing physical rehabilitation interventions to patient subgroups that may respond differently based on their impairments and perpetuating factors that hinder recovery. We examine in detail the timing, components, and dosage of the trial intervention arms. We also describe facilitators and barriers to physical rehabilitation implementation and factors that are influential in recovery from critical illness. Through this theoretical construct, we anticipate that physical rehabilitation programs can be better tailored to the needs of survivors to deliver appropriate interventions to patients who derive greatest benefit optimally timed in their recovery trajectory.

The 6 Ps of post-ICU recovery: application of a shared conceptual model

PURPOSE OF REVIEW

We aimed to explore, through a conceptual model, how we can maximize the post-ICU recovery of patients with ICU-acquired weakness (ICU-AW). The '6 Ps' were used to structure our research questions, what are the Predisposing (pre-ICU patient characteristics), Precipitating (ICU exposures) and Perpetuating (hinder recovery) risk factors for ICU-AW (Problem) and what Protective strategies and Proactive treatment can we adopt to improve muscle mass, strength and function of these patients?

RECENT FINDINGS

Examination of the relationship between pre-ICU patient characteristics with ICU-AW and post-ICU factors that prolong recovery are limited. Our understanding of the pathophysiology of the condition is improving, however, much of the biological mechanisms of ICU-AW and persistent weakness remain unknown. Investigation into the ICU-AW phenotype and prediction tools would be of great clinical utility. Further research on ICU-AW muscle biology and recovery may permit the application of precision and personalized medicine to therapeutic interventions.

SUMMARY

A structured approach to clinical practice and future research to better understand the mechanism (Problem), and identify Predisposing, Precipitating and Perpetuating risk factors will advance the field in better managing ICU-AW through implementation of Protective strategies and Proactive multimodal treatments.