Race, Ethnicity, and 60-Day Outcomes After Hospitalization With COVID-19

Modeling the relative influence of socio-demographic variables on post-acute COVID-19 quality of life

Importance

Post-acute sequelae of SARS-CoV-2, referred to as "long COVID", are a globally pervasive threat. While their many clinical determinants are commonly considered, their plausible social correlates are often overlooked.

Objective

To compare social and clinical predictors of differences in quality of life (QoL) with long COVID. Additionally, to measure how much adjusted associations between social factors and long COVID-associated quality of life are unexplained by important clinical intermediates.

Design Setting and Participants

Data from the ISARIC long COVID multi-country prospective cohort study. Subjects from Norway, the United Kingdom (UK), and Russia, aged 16 and above, with confirmed acute SARS-CoV-2 infection reporting >= 1 long COVID-associated symptoms 1+ month following infection.

Exposure

The social exposures considered were educational attainment (Norway), employment status (UK and Russia), and female vs male sex (all countries).

Main outcome and measures

Quality of life-adjusted days, or QALDs, with long COVID.

Results

This cohort study included a total of 3891 participants. In all three countries, educational attainment, employment status, and female sex were important predictors of long COVID QALDs. Furthermore, a majority of the estimated relationships between each of these social correlates and long COVID QALDs could not be attributed to key long COVID-predicting comorbidities. In Norway, 90% (95% CI: 77%, 100%) of the adjusted association between the top two quintiles of educational attainment and long COVID QALDs was not explained by clinical intermediates. The same was true for 86% (73%, 100%) and 93% (80%,100%) of the adjusted associations between full-time employment and long COVID QALDs in the United Kingdom (UK) and Russia. Additionally, 77% (46%,100%) and 73% (52%, 94%) of the adjusted associations between female sex and long COVID QALDs in Norway and the UK were unexplained by the clinical mediators.

Conclusions and Relevance

This study highlights the role of socio-economic status indicators and female sex, in line with or beyond commonly cited clinical conditions, as predictors of long COVID-associated QoL, and further reveal that other (non-clinical) mechanisms likely drive their observed relationships. Our findings point to the importance of COVID interventions which go further than an exclusive focus on comorbidity management in order to help redress inequalities in experiences with this chronic disease.

Healthcare utilization 9 months pre- and post- COVID-19 hospitalization among patients discharged alive

BACKGROUND

Emerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up.

STUDY DESIGN AND METHODS

This retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days.

RESULTS

We identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001).

CONCLUSION

HCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU.

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.

Telehealth Use and Health Equity for Mental Health and Substance Use Disorder During the COVID-19 Pandemic: A Systematic Review

Background: As a result of the COVID-19 public health emergency (PHE), telehealth utilization accelerated to facilitate health care management and minimize risk. However, those with mental health conditions and substance use disorders (SUD)-who represent a vulnerable population, and members of underrepresented minorities (e.g., rural, racial/ethnic minorities, the elderly)-may not benefit from telehealth equally. Objective: To evaluate health equality in clinical effectiveness and utilization measures associated with telehealth for clinical management of mental health disorders and SUD to identify emerging patterns for underrepresented groups stratified by race/ethnicity, gender, age, rural status, insurance, sexual minorities, and social vulnerability. Methods: We performed a systematic review in PubMed, Embase, Cochrane Central Register of Controlled Trials, and CINAHL through November 2022. Studies included those with telehealth, COVID-19, health equity, and mental health or SUD treatment/care concepts. Our outcomes included general clinical measures, mental health or SUD clinical measures, and operational measures. Results: Of the 2,740 studies screened, 25 met eligibility criteria. The majority of studies (n = 20) evaluated telehealth for mental health conditions, while the remaining five studies evaluated telehealth for opioid use disorder/dependence. The most common study outcomes were utilization measures (n = 19) or demographic predictors of telehealth utilization (n = 3). Groups that consistently demonstrated less telehealth utilization during the PHE included rural residents, older populations, and Black/African American minorities. Conclusions: We observed evidence of inequities in telehealth utilization among several underrepresented groups. Future efforts should focus on measuring the contribution of utilization disparities on outcomes and strategies to mitigate disparities in implementation.

Race, Ethnicity, and Delayed Time to COVID-19 Testing Among US Health Care Workers

Importance

Access to COVID-19 testing is critical to reducing transmission and supporting early treatment decisions; when made accessible, the timeliness of testing may also be an important metric in mitigating community spread of the infection. While disparities in transmission and outcomes of COVID-19 have been well documented, the extent of timeliness of testing and the association with demographic factors is unclear.

Objectives

To evaluate demographic factors associated with delayed COVID-19 testing among health care personnel (HCP) during the COVID-19 pandemic.

Design, Setting, and Participants

This cross-sectional study used data from the Preventing Emerging Infections Through Vaccine Effectiveness Testing study, a multicenter, test-negative, case-control vaccine effectiveness study that enrolled HCP who had COVID-19 symptoms and testing between December 2020 and April 2022. Data analysis was conducted from March 2022 to Junne 2023.

Exposure

Displaying COVID-19-like symptoms and polymerase chain reaction testing occurring from the first day symptoms occurred up to 14 days after symptoms occurred.

Main Outcomes and Measures

Variables of interest included patient demographics (sex, age, and clinical comorbidities) and COVID-19 characteristics (vaccination status and COVID-19 wave). The primary outcome was time from symptom onset to COVID-19 testing, which was defined as early testing (≤2 days) or delayed testing (≥3 days). Associations of demographic characteristics with delayed testing were measured while adjusting for clinical comorbidities, COVID-19 characteristics, and test site using multivariable modeling to estimate relative risks and 95% CIs.

Results

A total of 5551 HCP (4859 female [82.9%]; 1954 aged 25-34 years [35.2%]; 4233 non-Hispanic White [76.3%], 370 non-Hispanic Black [6.7%], and 324 non-Hispanic Asian [5.8%]) were included in the final analysis. Overall, 2060 participants (37.1%) reported delayed testing and 3491 (62.9%) reported early testing. Compared with non-Hispanic White HCP, delayed testing was higher among non-Hispanic Black HCP (adjusted risk ratio, 1.18; 95%CI, 1.10-1.27) and for non-Hispanic HCP of other races (adjusted risk ratio, 1.17; 95% CI, 1.03-1.33). Sex and age were not associated with delayed testing. Compared with clinical HCP with graduate degrees, all other professional and educational groups had significantly delayed testing.

Conclusions and Relevance

In this cross-sectional study of HCP, compared with non-Hispanic White HCP and clinical HCP with graduate degrees, non-Hispanic Black HCP, non-Hispanic HCP of other races, and HCP all other professional and education backgrounds were more likely to have delayed COVID-19 testing. These findings suggest that time to testing may serve as a valuable metric in evaluating sociodemographic disparities in the response to COVID-19 and future health mitigation strategies.

Recurring SARS-CoV-2 variants: an update on post-pandemic, co-infections and immune response

The post-pandemic era following the global spread of the SARS-CoV-2 virus has brought about persistent concerns regarding recurring coinfections. While significant strides in genome mapping, diagnostics, and vaccine development have controlled the pandemic and reduced fatalities, ongoing virus mutations necessitate a deeper exploration of the interplay between SARS-CoV-2 mutations and the host's immune response. Various vaccines, including RNA-based ones like Pfizer and Moderna, viral vector vaccines like Johnson & Johnson and AstraZeneca, and protein subunit vaccines like Novavax, have played critical roles in mitigating the impact of COVID-19. Understanding their strengths and limitations is crucial for tailoring future vaccines to specific variants and individual needs. The intricate relationship between SARS-CoV-2 mutations and the immune response remains a focus of intense research, providing insights into personalized treatment strategies and long-term effects like long-COVID. This article offers an overview of the post-pandemic landscape, highlighting emerging variants, summarizing vaccine platforms, and delving into immunological responses and the phenomenon of long-COVID. By presenting clinical findings, it aims to contribute to the ongoing understanding of COVID-19's progression in the aftermath of the pandemic.

Caregiving in the COVID-19 pandemic: Family adaptations following an intensive care unit hospitalisation

AIM AND OBJECTIVE

To identify how family caregivers adapt to the caregiving role following a relative's COVID-19-related intensive care unit (ICU) hospitalisation.

BACKGROUND

Family caregiving is often associated with poor health amongst caregivers which may limit their capacity to effectively support patients. Though severe COVID-19 infection has necessitated increasing numbers of persons who require caregiver support, little is known about these caregivers, the persons they are caring for, or the strategies used to effectively adjust to the caregiving role.

DESIGN

A qualitative descriptive study design was adopted, and findings are reported using COREQ.

METHODS

A secondary analysis of transcripts from semi-structured interviews conducted with recently discharged ICU patients who had COVID-19 (n = 16) and their family caregivers (n = 16) was completed using thematic analysis. MAXQDA 2020 and Miro were used to organise data and complete coding. Analysis involved a structured process of open and closed coding to identify and confirm themes that elucidated adaptation to family caregiving.

RESULTS

Six themes highlight how family caregivers adapt to the caregiving role following an ICU COVID-19-related hospitalisation including (1) engaging the support of family and friends, (2) increased responsibilities to accommodate caregiving, (3) managing emotions, (4) managing infection control, (5) addressing patient independence and (6) engaging support services. These themes were found to be congruent with the Roy adaptation model.

CONCLUSIONS

Family caregiving is a stressful transition following a patient's acute hospitalisation. Effective adaptation requires flexibility and sufficient support, beginning with the care team who can adequately prepare the family for the anticipated challenges of recovery.

RELEVANCE TO CLINICAL PRACTICE

Clinical teams may improve post-hospitalisation care outcomes of patients by preparing families to effectively adjust to the caregiver role-particularly in identifying sufficient support resources.

PATIENT OR PUBLIC CONTRIBUTION

Participation of patients/caregivers in this study was limited to the data provided through participant interviews.

Barriers to and Facilitators of Family Caregiving of Patients With COVID-19 Early in the Pandemic

BACKGROUND

In 2020, many family members were thrust into the role of caregiving for a relative with COVID-19 with little preparation, training, or understanding of the disease and its symptoms.

OBJECTIVES

To explore the barriers to and facilitators of caregiving experienced by family caregivers of patients with COVID-19 who had been in intensive care in the pandemic's earliest months.

METHODS

In-depth qualitative interviews were conducted by web conference with 16 adults recovering at home after intubation for COVID-19 in an intensive care unit at a major academic medical center and their primary caregivers from March to August 2020 (N = 32). Thematic qualitative analysis was done using Watkins' rigorous and accelerated data reduction technique with MAXQDA software.

RESULTS

Seven themes emerged regarding factors that facilitated or posed barriers to care: other health conditions that increased complexity of care, interactions and experiences in the health care system, COVID-19's proliferation into other areas of life, the psychological well-being of the patient-caregiver dyad, experience of support from the dyad's network, the role of caregiving in the dyad, and contextual circumstances of the dyad. The themes often included both barriers and facilitators, depending on the experience of the dyad (eg, feeling encouraged vs fatigued by their support network).

CONCLUSIONS

Understanding how patients with COVID-19 and their caregivers experience illness management across the recovery journey can help clarify the COVID-19 care-giving process and identify intervention targets to improve overall health and well-being of the care dyad.

Linking Sepsis with chronic arterial hypertension, diabetes mellitus, and socioeconomic factors in the United States: A scoping review

RATIONALE

Sepsis is a syndrome of life-threatening organ dysfunction caused by a dysregulated host immune response to infection. Social risk factors including location and poverty are associated with sepsis-related disparities. Understanding the social and biological phenotypes linked with the incidence of sepsis is warranted to identify the most at-risk populations. We aim to examine how factors in disadvantage influence health disparities related to sepsis.

METHODS

A scoping review was performed for English-language articles published in the United States from 1990 to 2022 on PubMed, Web of Science, and Scopus. Of the 2064 articles found, 139 met eligibility criteria and were included for review.

RESULTS

There is consistency across the literature of disproportionately higher rates of sepsis incidence, mortality, readmissions, and associated complications, in neighborhoods with socioeconomic disadvantage and significant poverty. Chronic arterial hypertension and diabetes mellitus also occur more frequently in the same geographic distribution as sepsis, suggesting a potential shared pathophysiology.

CONCLUSIONS

The distribution of chronic arterial hypertension, diabetes mellitus, social risk factors associated with socioeconomic disadvantage, and sepsis incidence, are clustered in specific geographical areas and linked by endothelial dysfunction. Such population factors can be utilized to create equitable interventions aimed at mitigating sepsis incidence and sepsis-related disparities.

Post-COVID-19 Condition

An estimated 10-15% of those infected with SARS-CoV-2 may have post-COVID-19 condition. Common lingering signs and symptoms include shortness of breath, fatigue, high heart rate, and memory and cognitive dysfunction even several months after infection, often impacting survivors' quality of life. The prevalence and duration of individual symptoms remain difficult to ascertain due to the lack of standardized research methods across various studies and limited patient follow-up in clinical studies. Nonetheless, data indicate post-COVID-19 condition may occur independent of acuity of initial infection, hospitalization status, age, or pre-existing comorbidities. Risk factors may include female sex and underlying respiratory or psychiatric disease. Supportive therapies to mitigate symptoms remain the mainstay of treatment. Reassuringly, most patients experience a reduction in symptoms by 1 year. The use of a universal case definition and shared research methods will allow for further clarity regarding the pervasiveness of this entity and its long-term health consequences.

Opportunities to Improve Long COVID Care: Implications from Semi-structured Interviews with Black Patients

BACKGROUND

Long coronavirus disease (COVID) is an emerging condition that could considerably burden healthcare systems. Prior qualitative studies characterize the experience of having long COVID, which is valuable for informing care strategies. However, evidence comes from predominantly White samples. This is a concern because underrepresentation of Black patients in research and intervention development contribute to racial inequities.

OBJECTIVE

To facilitate racial equity in long COVID care, the purpose of this qualitative study was to inform the development of care strategies that are responsive to the experiences and perspectives of Black patients with long COVID in the United States of America.

METHODS

Using convenience sampling, we conducted race-concordant, semi-structured, and open-ended interviews with Black adults (80% female, mean age = 39) who had long COVID. We transcribed and anonymized the recorded interviews. We analyzed the transcripts using inductive, thematic analysis. Theme development focused on who can help or hinder strategies for reducing health inequities, what should be done to change care policies or treatment strategies, and when are the critical timepoints for intervention.

RESULTS

We developed four main themes. Participants reported challenges before and after COVID testing. Many participants contacted primary care physicians as a first step for long COVID treatment. However, not all respondents had positive experiences and at times felt dismissed. Without a qualifying diagnosis, participants could not obtain disability benefits, which negatively influenced their employment and increased financial hardship.

CONCLUSIONS

There are possible targets for improving long COVID care, from COVID testing through to long-term treatment plans. There is a need to increase long COVID awareness among physicians. Diagnosis and a standardized treatment plan could help patients avoid unnecessary healthcare utilization and obtain comprehensive support.

Race, ethnicity, and utilization of outpatient rehabilitation for treatment of post COVID-19 condition

INTRODUCTION

Outpatient rehabilitation is recommended in the treatment of post coronavirus disease 2019 (COVID-19) condition. Although racial and ethnic disparities in the incidence and severity of COVID-19 have been well documented, little is known about the use of outpatient rehabilitation among patients with post COVID-19 condition.

OBJECTIVE

To examine factors associated with outpatient rehabilitation use following COVID-19 and to ascertain whether differential incidence of sequelae explain variation in post COVID-19 rehabilitation utilization by race and ethnicity.

DESIGN

Case-control study.

SETTING

Community.

PARTICIPANTS

U.S. adults with COVID-19 during 2020 in the TriNetX database.

INTERVENTION

N/A.

MAIN OUTCOME MEASURES

Receipt of outpatient rehabilitation services within 6 months of COVID-19 diagnosis and incidence of post COVID-19 condition symptoms (weakness, fatigue, pain, cognitive impairment, mobility difficulties, and dyspnea).

RESULTS

From 406,630 laboratory-confirmed COVID-19 cases, we identified 8724 individuals who received outpatient rehabilitation and matched 28,719 controls. Of rehabilitation users, 43.3% were 40 years old or younger, 54.8% were female, 58.2% were White, 17.9% were African American/Black, 2.1% were Asian, 13.0% were Hispanic, 39.2% had no comorbidities, and 40.3% had been hospitalized for COVID-19. Dyspnea (20.4%), fatigue (12.4%), and weakness (8.2%) were the most frequently identified symptoms. Although there were no racial differences in the incidence of the six post COVID-19 condition symptoms considered, African American/Black individuals were significantly less likely than their White counterparts to receive outpatient rehabilitation (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.84-0.96; p = .003). Hispanic individuals had higher outpatient rehabilitation utilization (OR = 1.22; 95% CI: 1.11-1.33; p < .001) and a significantly higher incidence of post COVID-19 fatigue.

CONCLUSIONS

In this large nationally representative study, African American/Black race was associated with lower utilization of outpatient rehabilitation services despite a similar incidence of post COVID-19 condition symptoms. Further research is needed to better understand access barriers to rehabilitation services for post COVID-19 condition recovery care and address racial inequalities in receipt of care.

Long-haul COVID: healthcare utilization and medical expenditures 6 months post-diagnosis

BACKGROUND

Despite extensive evidence that COVID-19 symptoms may persist for up to a year, their long-term implications for healthcare utilization and costs 6 months post-diagnosis remain relatively unexplored. We examine patient-level association of COVID-19 diagnosis association of COVID-19 diagnosis with average monthly healthcare utilization and medical expenditures for up to 6 months, explore heterogeneity across age groups and determine for how many months post-diagnosis healthcare utilization and costs of COVID-19 patients persist above pre-diagnosis levels.

METHODS

This population-based retrospective cohort study followed COVID-19 patients' healthcare utilization and costs from January 2019 through March 2021 using claims data provided by the COVID-19 Research Database. The patient population includes 250,514 individuals infected with COVID-19 during March-September 2020 and whose last recorded claim was not hospitalization with severe symptoms. We measure the monthly number and costs of total visits and by telemedicine, preventive, urgent care, emergency, immunization, cardiology, inpatient or surgical services and established patient or new patient visits.

RESULTS

The mean (SD) total number of monthly visits and costs pre-diagnosis were .4783 (4.0839) and 128.06 (1182.78) dollars compared with 1.2078 (8.4962) visits and 351.67 (2473.63) dollars post-diagnosis. COVID-19 diagnosis associated with .7269 (95% CI, 0.7088 to 0.7449 visits; P < .001) more total healthcare visits and an additional $223.60 (95% CI, 218.34 to 228.85; P < .001) in monthly costs. Excess monthly utilization and costs for individuals 17 years old and under subside after 5 months to .070 visits and $2.77, persist at substantial levels for all other groups and most pronounced among individuals age 45-64 (.207 visits and $73.43) and 65 years or older (.133 visits and $60.49).

CONCLUSIONS

This study found that COVID-19 diagnosis was associated with increased healthcare utilization and costs over a six-month post-diagnosis period. These findings imply a prolonged burden to the US healthcare system from medical encounters of COVID-19 patients and increased spending.

Returning to work and the impact of post COVID-19 condition: A systematic review

BACKGROUND: The COVID-19 pandemic is still ongoing, with rapidly increasing cases all over the world, and the emerging issue of post COVID-19 (or Long COVID-19) condition is impacting the occupational world. OBJECTIVE: The aim of this systematic review was to evaluate the impact of lasting COVID-19 symptoms or disability on the working population upon their return to employment. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statements we performed a systematic review in December 2021, screening three databases (PubMed, ISI Web of Knowledge, Scopus), for articles investigating return to work in patients that were previously hospitalized due to COVID-19. A hand-searched was then performed through the references of the included systematic review. A quality assessment was performed on the included studies. RESULTS: Out of the 263 articles found through the initial search, 11 studies were included in this systematic review. The selected studies were divided based on follow-up time, in two months follow-up, follow-up between two and six months, and six months follow-up. All the studies highlighted an important impact of post COVID-19 condition in returning to work after being hospitalized, with differences based on follow-up time, home Country and mean/median age of the sample considered. CONCLUSIONS: This review highlighted post COVID-19 condition as a rising problem in occupational medicine, with consequences on workers’ quality of life and productivity. The role of occupational physicians could be essential in applying limitations to work duties or hours and facilitating the return to employment in workers with a post COVID-19 condition.

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies

In this review, current studies on hospital readmission due to infection of COVID-19 were discussed, compared, and further evaluated in order to understand the current trends and progress in mitigation of hospital readmissions due to COVID-19. Boolean expression of (“COVID-19” OR “covid19” OR “covid” OR “coronavirus” OR “Sars-CoV-2”) AND (“readmission” OR “re-admission” OR “rehospitalization” OR “rehospitalization”) were used in five databases, namely Web of Science, Medline, Science Direct, Google Scholar and Scopus. From the search, a total of 253 articles were screened down to 26 articles. In overall, most of the research focus on readmission rates than mortality rate. On the readmission rate, the lowest is 4.2% by Ramos-Martínez et al. from Spain, and the highest is 19.9% by Donnelly et al. from the United States. Most of the research (n = 13) uses an inferential statistical approach in their studies, while only one uses a machine learning approach. The data size ranges from 79 to 126,137. However, there is no specific guide to set the most suitable data size for one research, and all results cannot be compared in terms of accuracy, as all research is regional studies and do not involve data from the multi region. The logistic regression is prevalent in the research on risk factors of readmission post-COVID-19 admission, despite each of the research coming out with different outcomes. From the word cloud, age is the most dominant risk factor of readmission, followed by diabetes, high length of stay, COPD, CKD, liver disease, metastatic disease, and CAD. A few future research directions has been proposed, including the utilization of machine learning in statistical analysis, investigation on dominant risk factors, experimental design on interventions to curb dominant risk factors and increase the scale of data collection from single centered to multi centered.

Contribution of Individual- and Neighborhood-Level Social, Demographic, and Health Factors to COVID-19 Hospitalization Outcomes

BACKGROUND

Although disparities in COVID-19 outcomes have been observed, factors contributing to these differences are not well understood.

OBJECTIVE

To determine whether COVID-19 hospitalization outcomes are related to neighborhood-level social vulnerability, independent of patient-level clinical factors.

DESIGN

Pooled cross-sectional study of prospectively collected data.

SETTING

38 Michigan hospitals.

PATIENTS

Adults older than 18 years hospitalized for COVID-19 in a participating site between March and December 2020.

MEASUREMENTS

COVID-19 outcomes included acute organ dysfunction, organ failure, invasive mechanical ventilation, intensive care unit stay, death, and discharge disposition. Social vulnerability was measured by the social vulnerability index (SVI), a composite measure of social disadvantage.

RESULTS

Compared with patients in low-vulnerability ZIP codes, those living in high-vulnerability ZIP codes were more frequently treated in the intensive care unit (29.0% vs. 24.5%); more frequently received mechanical ventilation (19.3% vs. 14.2%); and experienced higher rates of organ dysfunction (51.9% vs. 48.6%), organ failure (54.7% vs. 51.6%), and in-hospital death (19.4% vs. 16.7%). In mixed-effects regression analyses accounting for age, sex, and comorbid conditions, an increase in a patient's neighborhood SVI by 0.25 (1 quartile) was associated with greater likelihood of mechanical ventilation (increase of 2.1 percentage points), acute organ dysfunction (increase of 2.8 percentage points), and acute organ failure (increase of 2.8 percentage points) but was not associated with intensive care unit stay, mortality, or discharge disposition.

LIMITATION

Observational data focused on hospitalizations in a single state.

CONCLUSION

Hospitalized patients with COVID-19 from socially vulnerable neighborhoods presented with greater illness severity and required more intensive treatment, but once hospitalized they did not experience differences in hospital mortality or discharge disposition. Policies that target socially vulnerable neighborhoods and access to COVID-19 care may help ameliorate health disparities.

PRIMARY FUNDING SOURCE

Blue Cross Blue Shield of Michigan (BCBSM) and Blue Care Network as part of the BCBSM Value Partnerships Program, the Michigan Public Health Institute, and the Michigan Department of Health & Human Services.