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Stinehart KR, Hyer JM, Joshi S, Brummel NE. Healthcare Use and Expenditures in Rural Survivors of Hospitalization for Sepsis. Crit Care Med 2024; 52:1729-1738. [PMID: 39137035 DOI: 10.1097/ccm.0000000000006397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
OBJECTIVES Sepsis survivors have greater healthcare use than those surviving hospitalizations for other reasons, yet factors associated with greater healthcare use in this population remain ill-defined. Rural Americans are older, have more chronic illnesses, and face unique barriers to healthcare access, which could affect postsepsis healthcare use. Therefore, we compared healthcare use and expenditures among rural and urban sepsis survivors. We hypothesized that rural survivors would have greater healthcare use and expenditures. DESIGN, SETTING, AND PATIENTS To test this hypothesis, we used data from 106,189 adult survivors of a sepsis hospitalization included in the IBM MarketScan Commercial Claims and Encounters database and Medicare Supplemental database between 2013 and 2018. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We identified hospitalizations for severe sepsis and septic shock using the International Classification of Diseases , 9th Edition (ICD-9) or 1CD-10 codes. We used Metropolitan Statistical Area classifications to categorize rurality. We measured emergency department (ED) visits, inpatient hospitalizations, skilled nursing facility admissions, primary care visits, physical therapy visits, occupational therapy visits, and home healthcare visits for the year following sepsis hospitalizations. We calculated the total expenditures for each of these categories. We compared outcomes between rural and urban patients using multivariable regression and adjusted for covariates. After adjusting for age, sex, comorbidities, admission type, insurance type, U.S. Census Bureau region, employment status, and sepsis severity, those living in rural areas had 17% greater odds of having an ED visit (odds ratio [OR] 1.17; 95% CI, 1.13-1.22; p < 0.001), 9% lower odds of having a primary care visit (OR 0.91; 95% CI, 0.87-0.94; p < 0.001), and 12% lower odds of receiving home healthcare (OR 0.88; 95% CI, 0.84-0.93; p < 0.001). Despite higher levels of ED use and equivalent levels of hospital readmissions, expenditures in these areas were 14% (OR 0.86; 95% CI, 0.80-0.91; p < 0.001) and 9% (OR 0.91; 95% CI, 0.87-0.96; p < 0.001) lower among rural survivors, respectively, suggesting these services may be used for lower-acuity conditions. CONCLUSIONS In this large cohort study, we report important differences in healthcare use and expenditures between rural and urban sepsis survivors. Future research and policy work is needed to understand how best to optimize sepsis survivorship across the urban-rural continuum.
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Affiliation(s)
- Kyle R Stinehart
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH
- Department of Internal Medicine, Center for Health Outcomes in Medicine Scholarship and Service (HOMES), The Ohio State University Wexner Medical Center, Columbus, OH
| | - J Madison Hyer
- Center for Biostatistics, The Ohio State University College of Medicine, Columbus, OH
- Secondary Data Core, The Ohio State University Center for Clinical and Translational Science, Columbus, OH
| | - Shivam Joshi
- Center for Biostatistics, The Ohio State University College of Medicine, Columbus, OH
- Secondary Data Core, The Ohio State University Center for Clinical and Translational Science, Columbus, OH
| | - Nathan E Brummel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH
- Davis Heart and Lung Research Institute, College of Medicine, The Ohio State University College of Medicine, Columbus, OH
- Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), The Ohio State University College of Medicine, Columbus, OH
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2
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Engoren M, Arslanian-Engoren C. Risk factors for readmission after sepsis and its association with mortality. Heart Lung 2024; 68:195-201. [PMID: 39032421 DOI: 10.1016/j.hrtlng.2024.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 07/09/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Sepsis is associated with an approximately 20 % 30-day readmission rate and with subsequent mortality. OBJECTIVES To determine the demographics, comorbidities that had been documented prior to sepsis onset, processes of care, commonly administered laboratory tests measured near discharge, and post-sepsis infections that may be associated with readmission and, secondarily, whether readmission is an independent risk factor for 90-day mortality. METHODS Using a database of patients who met Sepsis-3 criteria divided into Construction and Validation groups, we used logistic regression to estimate the factors independently associated with readmission within 30 days after discharge and proportional hazard regression to estimate the factors independently associated with 90-day mortality. RESULTS Of the 30,798 patients ≥ 18 years at our combined referral and community hospital and were discharged alive who met Sepsis-3 criteria between July 10, 2009 and September 7, 2019, 5943 (19 %) were readmitted within 30 days. Thirteen thousand, four hundred forty-four (44 %) of the patients were female, 25,293 (82 %) White, 3523 (11 %) Black, and the mean age was 59 ± 17 years. Among the readmitted patients, 894 (15 %) died within 90 days from the original discharge compared to 11 % (p < 0.001) who had not been readmitted. Seven comorbidities, five processes of care (presepsis platelet transfusion, postsepsis platelet transfusion, operation, ICU length of stay, and hospital length of stay), five culture results, two discharge laboratory values, and discharge location were associated with readmission. The model had good discrimination, 0.770 ± 0.004 (Construction Group) and 0.748 ± 0.006 (Validation Group) and good relevancy (area under the precision recall curve), 0.390 ± 0.004 (Construction group) and 0.476 ± 0.005 (Validation group). Readmission within 30 days was independently associated with a 56 % higher risk of death (HR=1.562, 95 % CI=1.434, 1.703, p < 0.001) within 90 days from discharge. CONCLUSIONS Comorbidities, abnormal laboratory values, processes of care, and post-sepsis onset culture results, but not demographic characteristics, were associated with 30-day readmission. Readmission was associated with 90-day mortality.
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Affiliation(s)
- Milo Engoren
- Department of Anesthesiology, University of Michigan, 1500 E Medical Center Drive, Ann Arbor, MI 48109, United States.
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3
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Ackermann K, Lynch I, Aryal N, Westbrook J, Li L. Hospital readmission after surviving sepsis: A systematic review of readmission reasons and meta-analysis of readmission rates. J Crit Care 2024; 85:154925. [PMID: 39393165 DOI: 10.1016/j.jcrc.2024.154925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/23/2024] [Accepted: 09/20/2024] [Indexed: 10/13/2024]
Abstract
PURPOSE To review the evidence regarding hospital readmission diagnoses and analyse related readmission rates following a sepsis admission. METHODS Five databases, grey literature, and selected article reference lists were searched in May and June 2024. Included studies investigated sepsis survivor readmissions and reported readmission diagnoses and rates. Meta-analyses of readmission rates were performed. RESULTS After screening, 51 studies were included, with most studies (46/51; 90.2 %) investigating adult survivors. Infection or sepsis were reported as the most common readmission reason in 18 of the 21 studies investigating three or more readmission diagnoses in adults. Meta-analyses showed that 4.7 % (95 % CI: 3.1 to 6.5 %, PI: 0.3-13.4 %, n = 11 studies) of adult survivors readmitted to hospital with another sepsis diagnosis at 30 days, 8.1 % (95 % CI: 4.5 to 12.7 %, PI: <0.1-29.0 %, n = 7) at 90 days, and 16.4 % (95 % CI: 11.3 to 22.2 %, PI: <0.1-96.3 %, n = 3) at one year. At 30 days 3.5 % (95 % CI: 2.2-5.0 %, PI: 0.3-10.0 %, n = 7) of adult survivors readmitted to hospital with a cardiovascular disease diagnosis. CONCLUSIONS Infection and sepsis are frequent readmission diagnoses for sepsis survivors, with one in 21 adult survivors readmitted for sepsis at 30-days. PROSPERO registration: CRD42023455851.
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Affiliation(s)
- Khalia Ackermann
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
| | - Isabelle Lynch
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Nanda Aryal
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Johanna Westbrook
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Ling Li
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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4
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Galiatsatos P, Brems H, Myers CN, Montemayor K. Race, Ethnicity, and Gender Disparities in Management and Outcomes of Critically Ill Adults with Sepsis. Crit Care Clin 2024; 40:741-752. [PMID: 39218483 DOI: 10.1016/j.ccc.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Critical care pathologies are not immune to potential social challenges in both health equity and health disparities. Over the last century, as sepsis physiology and interventions have continued to improve clinical outcomes, recognition that such improvements are not seen in all diverse populations warrants an understanding of this disproportionate success. In this review, the authors evaluate sepsis incidence and outcomes across ethnicity, race, and sex and gender, taking into account social and biological categorization and the association of sepsis-related mortality and morbidity. Further, the authors review how such issues transcend across age groups, with vulnerability to sepsis.
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Affiliation(s)
- Panagis Galiatsatos
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Office of Diversity, Inclusion, and Health Equity, Johns Hopkins Health System, Baltimore, MD, USA.
| | - Henry Brems
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Carlie N Myers
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - Kristina Montemayor
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Amrollahi F, Kennis BD, Shashikumar SP, Malhotra A, Taylor SP, Ford J, Rodriguez A, Weston J, Maheshwary R, Nemati S, Wardi G, Meier A. Prediction of Readmission Following Sepsis Using Social Determinants of Health. Crit Care Explor 2024; 6:e1099. [PMID: 38787299 PMCID: PMC11132367 DOI: 10.1097/cce.0000000000001099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVES To determine the predictive value of social determinants of health (SDoH) variables on 30-day readmission following a sepsis hospitalization as compared with traditional clinical variables. DESIGN Multicenter retrospective cohort study using patient-level data, including demographic, clinical, and survey data. SETTINGS Thirty-five hospitals across the United States from 2017 to 2021. PATIENTS Two hundred seventy-one thousand four hundred twenty-eight individuals in the AllofUs initiative, of which 8909 had an index sepsis hospitalization. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Unplanned 30-day readmission to the hospital. Multinomial logistic regression models were constructed to account for survival in determination of variables associate with 30-day readmission and are presented as adjusted odds rations (aORs). Of the 8909 sepsis patients in our cohort, 21% had an unplanned hospital readmission within 30 days. Median age (interquartile range) was 54 years (41-65 yr), 4762 (53.4%) were female, and there were self-reported 1612 (18.09%) Black, 2271 (25.49%) Hispanic, and 4642 (52.1%) White individuals. In multinomial logistic regression models accounting for survival, we identified that change to nonphysician provider type due to economic reasons (aOR, 2.55 [2.35-2.74]), delay of receiving medical care due to lack of transportation (aOR, 1.68 [1.62-1.74]), and inability to afford flow-up care (aOR, 1.59 [1.52-1.66]) were strongly and independently associated with a 30-day readmission when adjusting for survival. Patients who lived in a ZIP code with a high percentage of patients in poverty and without health insurance were also more likely to be readmitted within 30 days (aOR, 1.26 [1.22-1.29] and aOR, 1.28 [1.26-1.29], respectively). Finally, we found that having a primary care provider and health insurance were associated with low odds of an unplanned 30-day readmission. CONCLUSIONS In this multicenter retrospective cohort, several SDoH variables were strongly associated with unplanned 30-day readmission. Models predicting readmission following sepsis hospitalization may benefit from the addition of SDoH factors to traditional clinical variables.
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Affiliation(s)
- Fatemeh Amrollahi
- Department of Biomedical Informatics, University of California San Diego, La Jolla, CA
| | - Brent D Kennis
- School of Medicine, University of California San Diego, La Jolla, CA
| | | | - Atul Malhotra
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California at San Diego, La Jolla, CA
| | | | - James Ford
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, CA
| | - Arianna Rodriguez
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Julia Weston
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Romir Maheshwary
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Shamim Nemati
- Department of Biomedical Informatics, University of California San Diego, La Jolla, CA
| | - Gabriel Wardi
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California at San Diego, La Jolla, CA
- Department of Emergency Medicine, University of California San Diego, San Diego, CA
| | - Angela Meier
- Department of Anesthesiology, Division of Critical Care, University of California, San Diego, La Jolla, CA
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Reeves SD, Hartmann AP, Tedder AC, Juang PA, Hofer M, Kollef MH, Micek ST, Betthauser KD. Comparison of Empiric Antibiotic Treatment Regimens for Hospitalized, Non-severe Community-acquired Pneumonia: A Retrospective, Multicenter Cohort Study. Clin Ther 2024; 46:338-344. [PMID: 38403509 DOI: 10.1016/j.clinthera.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/14/2024] [Accepted: 01/31/2024] [Indexed: 02/27/2024]
Abstract
PURPOSE Consensus guidelines for hospitalized, non-severe community-acquired pneumonia (CAP) recommend empiric macrolide + β-lactam or respiratory fluoroquinolone monotherapy in patients with no risk factors for resistant organisms. In patients with allergies or contraindications, doxycycline + β-lactam is a recommended alternative. The purpose of this study was to compare differences in outcomes among guideline-recommended regimens in this population. METHODS This retrospective, multicenter cohort study included patients ≥18 years of age with CAP who received respiratory fluoroquinolone monotherapy, empiric macrolide + β-lactam, or doxycycline + β-lactam. Major exclusion criteria included patients with immunocompromising conditions, requiring vasopressors or invasive mechanical ventilation within 48 hours of admission, and receiving less than 2 days of total antibiotic therapy. The primary outcome was in-hospital mortality. Secondary outcomes included clinical failure, 14- and 30-day hospital readmission, and hospital length of stay. Safety outcomes included incidence of new Clostridioides difficile infection and aortic aneurysm ruptures. FINDINGS Of 4685 included patients, 1722 patients received empiric respiratory fluoroquinolone monotherapy, 159 received empiric doxycycline + β-lactam, and 2804 received empiric macrolide + β-lactam. Incidence of in-hospital mortality was not observed to be significantly different among empiric regimens (doxycycline + β-lactam group: 1.9% vs macrolide + β-lactam: 1.9% vs respiratory fluoroquinolone monotherapy: 1.5%, P = 0.588). No secondary outcomes were observed to differ significantly among groups. IMPLICATIONS We observed no differences in clinical or safety outcomes among three guideline-recommended empiric CAP regimens. Empiric doxycycline + β-lactam may be a safe empiric regimen for hospitalized CAP patients with non-severe CAP, although additional research is needed to corroborate these observations with larger samples.
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Affiliation(s)
- Sidney D Reeves
- Department of Pharmacy, Lt. Col. Luke Weathers Jr. VA Medical Center, Memphis, Tennessee
| | - Aaron P Hartmann
- Department of Pharmacy Practice, Barnes-Jewish Hospital, St. Louis, Missouri
| | - Amanda C Tedder
- Department of Pharmacy Practice, Barnes-Jewish Hospital, St. Louis, Missouri
| | - Paul A Juang
- Department of Pharmacy Practice, University of Health Sciences and Pharmacy, St. Louis, Missouri
| | - Mikaela Hofer
- Department of Pharmacy, Mayo Clinic Rochester, Rochester, Minnesota
| | - Marin H Kollef
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Scott T Micek
- Department of Pharmacy Practice, University of Health Sciences and Pharmacy, St. Louis, Missouri; Center for Health Outcomes Research and Education, University of Health Sciences and Pharmacy, St. Louis, Missouri.
| | - Kevin D Betthauser
- Department of Pharmacy Practice, Barnes-Jewish Hospital, St. Louis, Missouri
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Webb LV, Evans J, Smith V, Pettibone E, Tofil J, Hicks JF, Green S, Nassel A, Loberger JM. Sociodemographic Factors are Associated with Care Delivery and Outcomes in Pediatric Severe Sepsis. Crit Care Explor 2024; 6:e1056. [PMID: 38415020 PMCID: PMC10896474 DOI: 10.1097/cce.0000000000001056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024] Open
Abstract
IMPORTANCE Sepsis is a leading cause of morbidity and mortality in the United States and disparate outcomes exist between racial/ethnic groups despite improvements in sepsis management. These observed differences are often related to social determinants of health (SDoH). Little is known about the role of SDoH on outcomes in pediatric sepsis. OBJECTIVE This study examined the differences in care delivery and outcomes in children with severe sepsis based on race/ethnicity and neighborhood context (as measured by the social vulnerability index). DESIGN SETTING AND PARTICIPANTS This retrospective, cross-sectional study was completed in a quaternary care children's hospital. Patients 18 years old or younger who were admitted between May 1, 2018, and February 28, 2022, met the improving pediatric sepsis outcomes (IPSO) collaborative definition for severe sepsis. Composite measures of social vulnerability, care delivery, and clinical outcomes were stratified by race/ethnicity. MAIN OUTCOMES AND MEASURES The primary outcome of interest was admission to the PICU. Secondary outcomes were sepsis recognition and early goal-directed therapy (EGDT). RESULTS A total of 967 children met the criteria for IPSO-defined severe sepsis, of whom 53.4% were White/non-Hispanic. Nearly half of the cohort (48.7%) required PICU admission. There was no difference in illness severity at PICU admission by race (1.01 vs. 1.1, p = 0.18). Non-White race/Hispanic ethnicity was independently associated with PICU admission (odds ratio [OR] 1.35 [1.01-1.8], p = 0.04). Although social vulnerability was not independently associated with PICU admission (OR 0.95 [0.59-1.53], p = 0.83), non-White children were significantly more likely to reside in vulnerable neighborhoods (0.66 vs. 0.38, p < 0.001). Non-White race was associated with lower sepsis recognition (87.8% vs. 93.6%, p = 0.002) and less EGDT compliance (35.7% vs. 42.8%, p = 0.024). CONCLUSIONS AND RELEVANCE Non-White race/ethnicity was independently associated with PICU admission. Differences in care delivery were also identified. Prospective studies are needed to further investigate these findings.
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Affiliation(s)
- Lece V Webb
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL
| | - Jakob Evans
- Department of Pediatrics, Pediatrics Residency Program, University of Alabama at Birmingham, Birmingham, AL
| | - Veronica Smith
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Elisabeth Pettibone
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | | | - Jessica Floyd Hicks
- Performance Improvement and Accreditation Department, Children's of Alabama, Birmingham, AL
| | - Sherry Green
- Performance Improvement and Accreditation Department, Children's of Alabama, Birmingham, AL
| | - Ariann Nassel
- Lister Hill Center for Health Policy, School of Public Health, University of Alabama at Birmingham, AL
| | - Jeremy M Loberger
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL
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Bladon S, Ashiru-Oredope D, Cunningham N, Pate A, Martin GP, Zhong X, Gilham EL, Brown CS, Mirfenderesky M, Palin V, van Staa TP. Rapid systematic review on risks and outcomes of sepsis: the influence of risk factors associated with health inequalities. Int J Equity Health 2024; 23:34. [PMID: 38383380 PMCID: PMC10882893 DOI: 10.1186/s12939-024-02114-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND AND AIMS Sepsis is a serious and life-threatening condition caused by a dysregulated immune response to an infection. Recent guidance issued in the UK gave recommendations around recognition and antibiotic treatment of sepsis, but did not consider factors relating to health inequalities. The aim of this study was to summarise the literature investigating associations between health inequalities and sepsis. METHODS Searches were conducted in Embase for peer-reviewed articles published since 2010 that included sepsis in combination with one of the following five areas: socioeconomic status, race/ethnicity, community factors, medical needs and pregnancy/maternity. RESULTS Five searches identified 1,402 studies, with 50 unique studies included in the review after screening (13 sociodemographic, 14 race/ethnicity, 3 community, 3 care/medical needs and 20 pregnancy/maternity; 3 papers examined multiple health inequalities). Most of the studies were conducted in the USA (31/50), with only four studies using UK data (all pregnancy related). Socioeconomic factors associated with increased sepsis incidence included lower socioeconomic status, unemployment and lower education level, although findings were not consistent across studies. For ethnicity, mixed results were reported. Living in a medically underserved area or being resident in a nursing home increased risk of sepsis. Mortality rates after sepsis were found to be higher in people living in rural areas or in those discharged to skilled nursing facilities while associations with ethnicity were mixed. Complications during delivery, caesarean-section delivery, increased deprivation and black and other ethnic minority race were associated with post-partum sepsis. CONCLUSION There are clear correlations between sepsis morbidity and mortality and the presence of factors associated with health inequalities. To inform local guidance and drive public health measures, there is a need for studies conducted across more diverse setting and countries.
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Affiliation(s)
- Siân Bladon
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK.
| | - Diane Ashiru-Oredope
- Healthcare-Associated Infection (HCAI), Fungal, Antimicrobial Resistance (AMR), UKHSA, London, SW1P 3JR, UK
- School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Neil Cunningham
- Healthcare-Associated Infection (HCAI), Fungal, Antimicrobial Resistance (AMR), UKHSA, London, SW1P 3JR, UK
| | - Alexander Pate
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
| | - Glen P Martin
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
| | - Xiaomin Zhong
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
| | - Ellie L Gilham
- Healthcare-Associated Infection (HCAI), Fungal, Antimicrobial Resistance (AMR), UKHSA, London, SW1P 3JR, UK
| | - Colin S Brown
- Healthcare-Associated Infection (HCAI), Fungal, Antimicrobial Resistance (AMR), UKHSA, London, SW1P 3JR, UK
- NIHR Health Protection Unit in Healthcare-Associated Infection & Antimicrobial Resistance, Imperial College London, London, UK
| | - Mariyam Mirfenderesky
- Healthcare-Associated Infection (HCAI), Fungal, Antimicrobial Resistance (AMR), UKHSA, London, SW1P 3JR, UK
| | - Victoria Palin
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, The University of Manchester, Manchester, M13 9WL, UK
| | - Tjeerd P van Staa
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
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9
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Ahlberg CD, Wallam S, Tirba LA, Itumba SN, Gorman L, Galiatsatos P. Linking Sepsis with chronic arterial hypertension, diabetes mellitus, and socioeconomic factors in the United States: A scoping review. J Crit Care 2023; 77:154324. [PMID: 37159971 DOI: 10.1016/j.jcrc.2023.154324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/11/2023]
Abstract
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.
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Affiliation(s)
- Caitlyn D Ahlberg
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Sara Wallam
- The Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Lemya A Tirba
- The Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Stephanie N Itumba
- The Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Linda Gorman
- Harrison Medical Library, Johns Hopkins Bayview Medical Center, Baltimore, MD 21224, USA
| | - Panagis Galiatsatos
- Division of Pulmonary and Critical Care Medicine, the Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
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10
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El Hachem P, Pasniciuc S, Khurana S, Samala RV, Rybicki LA, Lagman RL, Davis MP. Characteristics of Patients with Cancer Readmitted Within 30 Days to an Acute Palliative Care Unit. J Palliat Care 2023; 38:200-206. [PMID: 35929121 DOI: 10.1177/08258597221119325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE(S) For patients with cancer, the emergence of acute palliative care units (APCU) may hold promise in curtailing hospital readmissions. The study aims to describe the characteristics of patients readmitted to an APCU. METHODS This retrospective study examined patients with cancer readmitted within 30 days to an APCU. Readmissions were further classified as either potentially preventable or non-preventable. RESULTS Out of 734 discharges from July 1, 2014 to July 1, 2015, 69 (9%) readmissions were identified and analyzed. For index admissions, median length of stay was five days, and one (1%) was discharged home with hospice care. For readmissions, median time from index admission to readmission was nine days, median length of stay was six days, three (4%) patients died, and 20 (30%) went home with hospice. Ten (14.5%) readmissions were deemed potentially preventable (95% CI 7.2-25.0%). Race/ethnicity-White/Black/Hispanic/Others-was 60%, 10%, 20% and 10%, respectively, among potentially preventable readmissions and 76%, 22%, 2% and 0%, respectively, among potentially non-preventable readmissions (P = .012). Potentially preventable readmissions were more likely to have venous thromboembolism (40% vs. 12%, P = .046) and more reasons for readmission (median 2 vs. 1, P = .019). CONCLUSIONS Among patients with cancer readmitted to an APCU, one out of seven was potentially preventable and a far larger proportion was discharged with hospice care compared to the index admission. Recognition of disease course, meaningful goals of care discussions and timely transition to hospice care may reduce rehospitalization in this population.
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Affiliation(s)
- Pierre El Hachem
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Silviu Pasniciuc
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Saurabh Khurana
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Renato V Samala
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Lisa A Rybicki
- Department of Quantitative Health Sciences, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Ruth L Lagman
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
| | - Mellar P Davis
- Department of Palliative and Supportive Care, 2569Cleveland Clinic, Cleveland, OH, USA
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Hilton RS, Hauschildt K, Shah M, Kowalkowski M, Taylor S. The Assessment of Social Determinants of Health in Postsepsis Mortality and Readmission: A Scoping Review. Crit Care Explor 2022; 4:e0722. [PMID: 35928537 PMCID: PMC9345631 DOI: 10.1097/cce.0000000000000722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
To summarize knowledge and identify gaps in evidence about the relationship between social determinants of health (SDH) and postsepsis outcomes. DATA SOURCES We conducted a comprehensive search of PubMed/Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, and the Cochrane Library. STUDY SELECTION We identified articles that evaluated SDH as risk factors for mortality or readmission after sepsis hospitalization. Two authors independently screened and selected articles for inclusion. DATA EXTRACTION We dual-extracted study characteristics with specific focus on measurement, reporting, and interpretation of SDH variables. DATA SYNTHESIS Of 2,077 articles screened, 103 articles assessed risk factors for postsepsis mortality or readmission. Of these, 28 (27%) included at least one SDH variable. Inclusion of SDH in studies assessing postsepsis adverse outcomes increased over time. The most common SDH evaluated was race/ethnicity (n = 21, 75%), followed by payer type (n = 10, 36%), and income/wealth (n = 9, 32%). Of the studies including race/ethnicity, nine (32%) evaluated no other SDH. Only one study including race/ethnicity discussed the use of this variable as a surrogate for social disadvantage, and none specifically discussed structural racism. None of the studies specifically addressed methods to validate the accuracy of SDH or handling of missing data. Eight (29%) studies included a general statement that missing data were infrequent. Several studies reported independent associations between SDH and outcomes after sepsis discharge; however, these findings were mixed across studies. CONCLUSIONS Our review suggests that SDH data are underutilized and of uncertain quality in studies evaluating postsepsis adverse events. Transparent and explicit ontogenesis and data models for SDH data are urgently needed to support research and clinical applications with specific attention to advancing our understanding of the role racism and racial health inequities in postsepsis outcomes.
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Affiliation(s)
- Ryan S Hilton
- Wake Forest University School of Medicine, Winston-Salem, NC
| | - Katrina Hauschildt
- Center for Clinical Management and Research, VA Ann Arbor Health Care System, Ann Arbor, MI
| | - Milan Shah
- Department of Internal Medicine, Carolinas Medical Center, Charlotte, NC
| | - Marc Kowalkowski
- Center for Outcomes Research and Evaluation, Atrium Health, Charlotte, NC
| | - Stephanie Taylor
- Department of Internal Medicine, Wake Forest University School of Medicine Atrium Health Enterprise, Charlotte, NC
- Critical Illness, Injury, and Recovery Research Center, Wake Forest School of Medicine, Winston-Salem, NC
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12
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Linnander EL, Ayedun A, Boatright D, Ackerman-Barger K, Morgenthaler TI, Ray N, Roy B, Simpson S, Curry LA. Mitigating structural racism to reduce inequities in sepsis outcomes: a mixed methods, longitudinal intervention study. BMC Health Serv Res 2022; 22:975. [PMID: 35907839 PMCID: PMC9338573 DOI: 10.1186/s12913-022-08331-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Sepsis affects 1.7 million patients in the US annually, is one of the leading causes of mortality, and is a major driver of US healthcare costs. African American/Black and LatinX populations experience higher rates of sepsis complications, deviations from standard care, and readmissions compared with Non-Hispanic White populations. Despite clear evidence of structural racism in sepsis care and outcomes, there are no prospective interventions to mitigate structural racism in sepsis care, nor are we aware of studies that report reductions in racial inequities in sepsis care as an outcome. Therefore, we will deliver and evaluate a coalition-based intervention to equip health systems and their surrounding communities to mitigate structural racism, driving measurable reductions in inequities in sepsis outcomes. This paper presents the theoretical foundation for the study, summarizes key elements of the intervention, and describes the methodology to evaluate the intervention. METHODS Our aims are to: (1) deliver a coalition-based leadership intervention in eight U.S. health systems and their surrounding communities; (2) evaluate the impact of the intervention on organizational culture using a longitudinal, convergent mixed methods approach, and (3) evaluate the impact of the intervention on reduction of racial inequities in three clinical outcomes: a) early identification (time to antibiotic), b) clinical management (in-hospital sepsis mortality) and c) standards-based follow up (same-hospital, all-cause sepsis readmissions) using interrupted time series analysis. DISCUSSION This study is aligned with calls to action by the NIH and the Sepsis Alliance to address inequities in sepsis care and outcomes. It is the first to intervene to mitigate effects of structural racism by developing the domains of organizational culture that are required for anti-racist action, with implications for inequities in complex health outcomes beyond sepsis.
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Affiliation(s)
- Erika L Linnander
- Department of Health Policy and Management, Yale School of Public Health, New Haven, USA.
- Yale Global Health Leadership Initiative, Yale School of Public Health, New Haven, USA.
| | - Adeola Ayedun
- Yale Global Health Leadership Initiative, Yale School of Public Health, New Haven, USA
| | - Dowin Boatright
- Department of Emergency Medicine, Yale School of Medicine, New Haven, USA
| | - Kupiri Ackerman-Barger
- Betty Irene Moore School of Nursing, University of California Davis Health, Sacramento, USA
| | | | | | - Brita Roy
- Department of Medicine, Yale School of Medicine, New Haven, USA
| | - Steven Simpson
- Division of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, University of Kansas, Kansas City, USA
| | - Leslie A Curry
- Department of Health Policy and Management, Yale School of Public Health, New Haven, USA
- Yale Global Health Leadership Initiative, Yale School of Public Health, New Haven, USA
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13
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Location and outcomes of rehospitalizations after critical illness in a single-payer healthcare system. J Crit Care 2022; 71:154089. [PMID: 35778320 DOI: 10.1016/j.jcrc.2022.154089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/17/2022] [Accepted: 05/24/2022] [Indexed: 11/21/2022]
Abstract
PURPOSE Unplanned rehospitalization at a hospital other than the initial hospital may contribute to poor outcomes. We examined the location of rehospitalizations and assessed outcomes following critical illness in a single-payer healthcare system. MATERIALS AND METHODS Population-based retrospective cohort study using linked datasets (2012-2017) from Ontario, Canada including adults (≥18 years) with an unplanned rehospitalization within 30-days after an index hospitalization that included an ICU stay with mechanical ventilation. Outcomes were the percentage of 30-day rehospitalizations at non-index hospitals, mortality and costs. We employed logistic regression and generalized linear models to assess associations. RESULTS There were 14,997 (16.4%) 30-day rehospitalizations. Of these 2765 (18.4%) occurred in a non-index hospital. Distance of home residence from the index hospital was the strongest predictor of a non-index rehospitalization (adjusted odds ratio (aOR) 8.40, 95%CI 7.05-10.01, highest vs. lowest distance quintile). Within 30-days of rehospitalization, deaths (aOR 0.91, 95%CI (0.80-1.04)) and total healthcare costs (adjusted relative risk 1.03 (1.00-1.06)), were similar for patients readmitted to the index or a non-index hospital. CONCLUSION Non-index rehospitalization within 30-days of initial discharge is common following critical illness. These rehospitalizations were not significantly associated with an increased risk of harm or higher costs in a single-payer healthcare system.
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