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Kumar RG, Evans E, Albrecht JS, Gardner RC, Dams-O'Connor K, Thomas KS. Healthy Days at Home Among Older Medicare Beneficiaries With Traumatic Brain Injury Requiring Inpatient Rehabilitation. J Head Trauma Rehabil 2024; 39:E442-E452. [PMID: 38598697 PMCID: PMC11387144 DOI: 10.1097/htr.0000000000000954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
OBJECTIVE The objectives of this study were to characterize and identify correlates of healthy days at home (HDaH) before and after TBI requiring inpatient rehabilitation. SETTING Inpatient hospital, nursing home, and home health services. PARTICIPANTS Average of n = 631 community-dwelling fee-for-service age 66+ Medicare beneficiaries across 30 replicate samples who were hospitalized for traumatic brain injury (TBI) between 2012 and 2014 and admitted to an inpatient rehabilitation facility (IRF) within 72 hours of hospital discharge. DESIGN Retrospective study using data from Medicare claims supplemented with data from the National Trauma Databank. MAIN MEASURES The primary outcome, HDaH, was calculated as time alive not using inpatient hospital, nursing home, and home health services in the year before TBI hospitalization and after IRF discharge. RESULTS We found HDaH declined from 93.2% in the year before TBI hospitalization to 65.3% in the year after IRF discharge (73.6% among survivors only). Most variability in HDaH was: (1) in the first 3 months after discharge and (2) by discharge disposition, with persons discharged from IRF to another acute hospital having the worst prognosis for utilization and death. In negative binomial regression models, the strongest predictors of HDaH in the year after discharge were rehabilitation Functional Independence Measure mobility score ( β = 0.03; 95% CI, 0.002-0.06) and inpatient Charlson Comorbidity Index score ( β = - 0.06; 95% CI, -0.13 to 0.001). Dual Medicaid eligible was associated with less HDaH among survivors ( β = - 0.37; 95% CI, -0.66 to -0.07). CONCLUSION In this study, among community-dwelling older adults with TBI, we found a notable decrease in the proportion of time spent alive at home without higher-level care after IRF discharge compared to before TBI. The finding that physical disability and comorbidities were the biggest drivers of healthy days alive in this population suggests that a chronic disease management model is required for older adults with TBI to manage their complex health care needs.
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Affiliation(s)
- Raj G Kumar
- Author Affiliation :Department of Rehabilitation and Human Performance (Drs Kumar and Dams-O'Connor), Department of Neurology (Dr Dams-O'Connor), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Physical Therapy (Dr Evans), College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, Massachusetts; Department of Epidemiology and Public Health (Dr Albrecht), University of Maryland School of Medicine, Baltimore, Maryland; Joseph Sagol Neuroscience Center (Dr Gardner), Sheba Medical Center, Ramat Gan, Israel; and Department of Health Services, Policy, and Practice (Dr Thomas), Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island
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Joundi RA, Hill MD, Stang J, Nicol D, Yu AYX, Kapral MK, King JA, Halabi ML, Smith EE. Association Between Time to Treatment With Endovascular Thrombectomy and Home-Time After Acute Ischemic Stroke. Neurology 2024; 102:e209454. [PMID: 38848515 DOI: 10.1212/wnl.0000000000209454] [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: 06/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Home-time is a patient-prioritized stroke outcome that can be derived from administrative data linkages. The effect of faster time-to-treatment with endovascular thrombectomy (EVT) on home-time after acute stroke is unknown. METHODS We used the Quality Improvement and Clinical Research registry to identify a cohort of patients who received EVT for acute ischemic stroke between 2015 and 2022 in Alberta, Canada. We calculated days at home in the first 90 days after stroke. We used ordinal regression across 6 ordered categories of home-time to evaluate the association between onset-to-arterial puncture and higher home-time, adjusting for age, sex, rural residence, NIH Stroke Scale, comorbidities, intravenous thrombolysis, and year of treatment. We used restricted cubic splines to assess the nonlinear relationship between continuous variation in time metrics and higher home-time, and also reported the adjusted odds ratios within time categories. We additionally evaluated door-to-puncture and reperfusion times. Finally, we analyzed home-time with zero-inflated models to determine the minutes of earlier treatment required to gain 1 day of home-time. RESULTS We had 1,885 individuals in our final analytic sample. There was a nonlinear increase in home-time with faster treatment when EVT was within 4 hours of stroke onset or 2 hours of hospital arrival. There was a higher odds of achieving more days at home when onset-to-puncture time was <2 hours (adjusted odds ratio 2.36, 95% CI 1.77-3.16) and 2 to <4 hours (1.37, 95% CI 1.11-1.71) compared with ≥6 hours, and when door-to-puncture time was <1 hour (aOR 2.25, 95% CI 1.74-2.90), 1 to <1.5 hours (aOR 1.89, 95% CI 1.47-2.41), and 1.5 to <2 hours (1.35, 95% CI 1.04-1.76) compared with ≥2 hours. Results were consistent for reperfusion times. For every hour of faster treatment within 6 hours of stroke onset, there was an estimated increase in home-time of 4.7 days, meaning that approximately 1 day of home-time was gained for each 12.8 minutes of faster treatment. DISCUSSION Faster time-to-treatment with EVT for acute stroke was associated with greater home-time, particularly within 4 hours of onset-to-puncture and 2 hours of door-to-puncture time. Within 6 hours of stroke onset, each 13 minutes of faster treatment is associated with a gain of 1 day of home-time.
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Affiliation(s)
- Raed A Joundi
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Michael D Hill
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Jillian Stang
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Dana Nicol
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Amy Ying Xin Yu
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Moira K Kapral
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - James A King
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Mary-Lou Halabi
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
| | - Eric E Smith
- From the Division of Neurology (R.A.J.), Hamilton Health Sciences, McMaster University & Population Health Research Institute, Ontario; Departments of Clinical Neurosciences (M.D.H., E.E.S.) and Community Health Sciences (E.E.S.), Cumming School of Medicine, University of Calgary; Data and Analytics (DnA) (J.S., D.N.) and Cardiovascular Health and Stroke Strategic Clinical Network (M.-L.H.), Alberta Health Services; ICES (A.Y.X.Y., M.K.K.), Toronto; Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto; Sunnybrook Health Sciences Centre (A.Y.X.Y.), Ontario; Department of Medicine (A.Y.X.Y.), Division of Neurology, University of Toronto; Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario; Alberta Strategy for Patient Oriented Research Support Unit Data Platform (J.A.K.); and Provincial Research Data Services (J.A.K.), Alberta Health Services, Canada
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Stienen MN, Akeret K, Vasella F, Velz J, Jehli E, Voglis S, Bichsel O, Smoll NR, Bozinov O, Regli L, Germans MR. COveRs to impRove EsthetiC ouTcome after Surgery for Chronic subdural hemAtoma by buRr hole trepanation-Results of a Swiss Single-Blinded, Randomized Controlled Trial. Neurosurgery 2023:00006123-990000000-00990. [PMID: 38059611 DOI: 10.1227/neu.0000000000002778] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 10/09/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Burr hole trepanation to evacuate chronic subdural hematoma (cSDH) results in bony skull defects that can lead to skin depressions. We intend to study the effect of burr hole covers to prevent skin depressions and improve the esthetic result. METHODS In a randomized trial, we enrolled adult patients with symptomatic cSDH. Patients received burr hole trepanation with (intervention) vs without burr hole covers (control) in a 1:1 ratio. Patients requiring evacuation of bilateral cSDHs served as their internal control. Primary outcome was satisfaction with the esthetic result of the scar, measured from 0 (dissatisfied) to 10 (very satisfied) on the Esthetic Numeric Analog (ANA) scale at 90 days. Secondary outcomes included ANA scale, rates of skin depression, complications, as well as neurological, disability, and health-related quality of life outcomes until 12 months. RESULTS We included 78 patients (55 with unilateral and 23 with bilateral cSDH; median age 78 years, 83% male) between 03/2019 and 05/2021, 50 trepanations for the intervention and 51 for the control group. In an intention-to-treat analysis, the ANA scale scores were 9.0 (intervention) and 8.5 (control arm) at 90 days (P = .498). At 12 months, the ANA scale scores were 9.0 and 8.0 for the intervention and control groups, respectively (P = .183). Skin depressions over the frontal burr hole were noted by 35% (intervention) and 63% (control) of patients at 90 days (P = .009) and by 35% and 79% (P < .001) at 12 months, respectively. There were no differences in complications, neurological, disability, and health-related quality of life outcomes. CONCLUSION Satisfaction with the esthetic result of the scar was inherently high. This study does not show evidence for improvement on the ANA scale by applying a burr hole cover. The application of burr hole covers resulted in less skin depressions and did not negatively affect complication rates or outcomes.
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Affiliation(s)
- Martin N Stienen
- Department of Neurosurgery, Kantonsspital St.Gallen, St. Gallen, Switzerland
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Kevin Akeret
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Flavio Vasella
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Julia Velz
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Elisabeth Jehli
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Stefanos Voglis
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Oliver Bichsel
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Nicolas R Smoll
- School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Oliver Bozinov
- Department of Neurosurgery, Kantonsspital St.Gallen, St. Gallen, Switzerland
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Menno R Germans
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
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Kormanyos Z, Reinert JP, Brady P. Heparin infusions in aneurysmal subarachnoid hemorrhages: clinical considerations for use beyond anticoagulation. Expert Rev Clin Pharmacol 2022; 15:1415-1421. [DOI: 10.1080/17512433.2022.2148654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Justin P. Reinert
- The University of Toledo, College of Pharmacy and Pharmaceutical Sciences, Toledo, OH, USA
| | - Paul Brady
- Mercy Health St. Vincent Medical Center, Toledo, OH, USA
- The Neuroscience Institute at Mercy Health, Toledo, OH, USA
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Andersen CR, English SW, Delaney A. Made to measure—Selecting outcomes in aneurysmal subarachnoid hemorrhage research. Front Neurol 2022; 13:1000454. [PMID: 36212648 PMCID: PMC9532574 DOI: 10.3389/fneur.2022.1000454] [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] [Received: 07/22/2022] [Accepted: 08/30/2022] [Indexed: 11/25/2022] Open
Abstract
There has been limited new high-level evidence generated to guide aneurysmal subarachnoid hemorrhage (aSAH) management in the past decade. The choice of outcome measures used in aSAH clinical trials may be one of the factors hindering progress. In this narrative review we consider the current process for determining “what” to measure in aSAH and identify some of the shortcomings of these approaches. A consideration of the unique clinical course of aSAH is then discussed and how this impacts on selecting the best timepoints to assess change in the chosen constructs. We also review the how to critically appraise different measurement instruments and some of the issues with how these are applied in the context of aSAH. We conclude with current initiatives to improve outcome selection in aSAH and future directions in the research agenda.
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Affiliation(s)
- Christopher R. Andersen
- Northern Clinical School, Sydney University, Sydney, NSW, Australia
- The George Institute for Global Health, UNSW, Sydney, NSW, Australia
- Intensive Care Department, Royal North Shore Hospital, Sydney, NSW, Australia
- *Correspondence: Christopher R. Andersen
| | - Shane W. English
- Department of Medicine (Critical Care), uOttawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI), Ottawa, ON, Canada
| | - Anthony Delaney
- Northern Clinical School, Sydney University, Sydney, NSW, Australia
- The George Institute for Global Health, UNSW, Sydney, NSW, Australia
- Intensive Care Department, Royal North Shore Hospital, Sydney, NSW, Australia
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Ekestubbe S, Fu M, Giang KW, Lindgren M, Rosengren A, Schioler L, Schaufelberger M. Increasing home-time after a first diagnosis of heart failure in Sweden, 20 years trends. ESC Heart Fail 2022; 9:555-563. [PMID: 34837891 PMCID: PMC8788024 DOI: 10.1002/ehf2.13714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 10/22/2021] [Accepted: 10/31/2021] [Indexed: 11/11/2022] Open
Abstract
AIMS This study was performed to compare trends in home-time for patients with heart failure (HF) between those of working age and those of retirement age in Sweden from 1992 to 2012. METHODS AND RESULTS The National Inpatient Register (IPR) was used to identify all patients aged 18 to 84 years with a first hospitalization for HF in Sweden from 1992 to 2012. Information on date of death, comorbidities, and sociodemographic factors were collected from the Swedish National Register on Cause of Death, the IPR, and the longitudinal integration database for health insurance and labour market studies, respectively. The patients were divided into two groups according to their age: working age (<65 years) and retirement age (≥65 years). Follow-up was 4 years. In total, following exclusions, 388 775 patients aged 18 to 84 years who were alive 1 day after discharge from a first hospitalization for HF were included in the study. The working age group comprised 62 428 (16%) patients with a median age of 58 (interquartile range, 53-62) years and 31.2% women, and the retirement age group comprised 326 347 (84%) patients with a median age of 77 (interquartile range, 73-81) years and 47.4% women. Patients of working age had more home-time than patients of retirement age (83.8% vs. 68.2%, respectively), mainly because of their lower 4 year mortality rate (14.2% vs. 29.7%, respectively). Home-time increased over the study period for both age groups, but the increase levelled off for older women after 2007, most likely because of less reduction in mortality in older women than in the other groups. CONCLUSIONS This nationwide study showed increasing home-time over the study period except for women of retirement age and older for whom the increase stalled after 2007, mainly because of a lower mortality reduction in this group. Efforts to improve patient-related outcome measures specifically targeted to this group may be warranted.
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Affiliation(s)
- Sofia Ekestubbe
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Michael Fu
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Kok Wai Giang
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Martin Lindgren
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Annika Rosengren
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Linus Schioler
- Section of Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Maria Schaufelberger
- Region Västra GötalandSahlgrenska University Hospital/ÖstraGothenburgSweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
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Arya S, Langston AH, Chen R, Sasnal M, George EL, Kashikar A, Barreto NB, Trickey AW, Morris AM. Perspectives on Home Time and Its Association With Quality of Life After Inpatient Surgery Among US Veterans. JAMA Netw Open 2022; 5:e2140196. [PMID: 35015066 PMCID: PMC8753502 DOI: 10.1001/jamanetworkopen.2021.40196] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
IMPORTANCE Home time, defined as time spent at home after hospital discharge, is emerging as a novel, patient-oriented outcome in stroke recovery and end-of-life care. Longer home time is associated with lower mortality and higher patient satisfaction. However, a knowledge gap exists in the measurement and understanding of home time in the population undergoing surgery. OBJECTIVES To examine the association between postoperative home time and quality of life (QoL), functional status, and decisional regret and to identify themes regarding the meaning of time spent at home after surgery. DESIGN, SETTING, AND PARTICIPANTS This mixed-methods study including a survey and qualitative interviews used an explanatory sequential design involving 152 quantitative surveys followed by in-depth interviews with 12 participants from February 26, 2020, to December 17, 2020. US veterans older than 65 years who underwent inpatient surgery at a single-center veterans hospital within the prior 6 to 12 months were studied. EXPOSURES Quality of life, measured by the Veterans RAND 12-item Health Survey and 19-item Control, Autonomy, Self-realization, and Pleasure scale; functional status, measured by activities of daily living (ADL) and instrumental ADL scales; and regret, measured by the Decision Regret Scale. MAIN OUTCOMES AND MEASURES Home time, standardized as percentage of total time spent at home from the time of surgery to the time of survey administration. Associations between home time and QoL, function, and decisional regret in the survey data were analyzed using Spearman correlation in the overall cohort and in operative stress score subcohorts (1-2 [low] vs 3-5 [high]) in a stratified analysis. The 12 semistructured interviews were analyzed to elicit patients' perspectives on home time in postoperative recovery. Qualitative data were coded and analyzed using content and thematic analysis and integrated with quantitative data in joint displays. RESULTS A total of 152 patients (mean [SD] age, 72.3 [4.4] years; 146 [96.0%] male) were surveyed, and 12 patients (mean [SD] age, 72.3 [4.8] years; 11 [91.7%] male) were interviewed. The median time to survey completion was 307 days (IQR, 265-344 days). The median home time was 97.8% (IQR, 94.6%-98.6%; range, 22.2%-99.5%). Increased home time was associated with better physical health-related QoL in the Veterans RAND 12-item Health Survey (r = 0.33; 95% CI, 0.18-0.47; P < .001) and higher ADL scores (r = 0.21; 95% CI, 0.06-0.36; P = .008) and instrumental ADL functional scores (r = 0.21; 95% CI, 0.04-0.37; P = .009). Decisional regret was inversely associated with home time in only the high operative stress score subcohort (r = -0.22; 95% CI, -0.47 to -0.04; P = .047). Home was perceived as a safe and familiar environment that accelerated recovery through nurturing support of loved ones. CONCLUSIONS AND RELEVANCE In this mixed-methods study including a survey and qualitative interviews, increased home time in the first year after major surgery was associated with improved daily function and physical QoL among US veterans. Interviewees considered the transition to home to be an indicator of recovery, suggesting that home time may be a promising, patient-oriented quality outcome measure for surgical recovery that warrants further study.
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Affiliation(s)
- Shipra Arya
- Division of Vascular Surgery, Stanford University School of Medicine, Stanford, California
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
- Surgery Service Line, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
| | - Ashley H. Langston
- Surgery Service Line, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
| | - Rui Chen
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Marzena Sasnal
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Elizabeth L. George
- Division of Vascular Surgery, Stanford University School of Medicine, Stanford, California
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Aditi Kashikar
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Nicolas B. Barreto
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Amber W. Trickey
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
| | - Arden M. Morris
- Stanford-Surgery Policy Improvement, Research, and Education Center, Palo Alto, California
- Surgery Service Line, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
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8
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Sperber NR, Shapiro A, Boucher NA, Decosimo KP, Shepherd-Banigan M, Whitfield C, Hastings SN, Van Houtven CH. Developing a person-centered, population based measure of "home time": Perspectives of older patients and unpaid caregivers. HEALTHCARE (AMSTERDAM, NETHERLANDS) 2021; 9:100591. [PMID: 34688200 PMCID: PMC10442891 DOI: 10.1016/j.hjdsi.2021.100591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 09/27/2021] [Accepted: 10/03/2021] [Indexed: 12/20/2022]
Abstract
Measuring "home time," number of days not in facility-based care, with medical claims is a promising approach to assess person-centered outcomes on a population level. Generally, spending more time at home matches long-term care preferences and improves quality of life. However, existing "home time" measures have not incorporated key stakeholder perspectives. We sought to understand how patients and family caregivers value time spent in diverse facility-based health care settings (Emergency Department, Nursing Home, Post-Acute Care/Skilled Nursing, Inpatient Hospital) to help determine whether various settings have different effects on quality of life and thus merit different weighting in a "home time" measure. We conducted three focus groups among patients and family caregivers within the U.S. Veterans Health Care System. We identified themes pertaining to patients' quality of life in each of the four facility-based care settings. Discussions about both emergency department and post-acute/skilled nursing care reflected loss of personal control, counterbalanced by temporary stay. Inpatient hospital care evoked discussion about greater loss of personal control due to the intensity of care. Nursing homes ultimately signified decline. These findings illuminate differences in quality of life across health-care settings and help justify the need for different weights in a measure of "home time."
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Affiliation(s)
- Nina R Sperber
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA.
| | - Abigail Shapiro
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Nathan A Boucher
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Sanford School of Public Policy, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA; Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Durham, NC, USA
| | - Kasey P Decosimo
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Megan Shepherd-Banigan
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA
| | - Chelsea Whitfield
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Susan N Hastings
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Durham, NC, USA
| | - Courtney H Van Houtven
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA
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9
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Holodinsky JK, Yu AYX, Kapral MK, Austin PC. Comparing regression modeling strategies for predicting hometime. BMC Med Res Methodol 2021; 21:138. [PMID: 34233616 PMCID: PMC8261957 DOI: 10.1186/s12874-021-01331-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 06/11/2021] [Indexed: 11/16/2022] Open
Abstract
Background Hometime, the total number of days a person is living in the community (not in a healthcare institution) in a defined period of time after a hospitalization, is a patient-centred outcome metric increasingly used in healthcare research. Hometime exhibits several properties which make its statistical analysis difficult: it has a highly non-normal distribution, excess zeros, and is bounded by both a lower and upper limit. The optimal methodology for the analysis of hometime is currently unknown. Methods Using administrative data we identified adult patients diagnosed with stroke between April 1, 2010 and December 31, 2017 in Ontario, Canada. 90-day hometime and clinically relevant covariates were determined through administrative data linkage. Fifteen different statistical and machine learning models were fit to the data using a derivation sample. The models’ predictive accuracy and bias were assessed using an independent validation sample. Results Seventy-five thousand four hundred seventy-five patients were identified (divided into a derivation set of 49,402 and a test set of 26,073). In general, the machine learning models had lower root mean square error and mean absolute error than the statistical models. However, some statistical models resulted in lower (or equal) bias than the machine learning models. Most of the machine learning models constrained predicted values between the minimum and maximum observable hometime values but this was not the case for the statistical models. The machine learning models also allowed for the display of complex non-linear interactions between covariates and hometime. No model captured the non-normal bucket shaped hometime distribution. Conclusions Overall, no model clearly outperformed the others. However, it was evident that machine learning methods performed better than traditional statistical methods. Among the machine learning methods, generalized boosting machines using the Poisson distribution as well as random forests regression were the best performing. No model was able to capture the bucket shaped hometime distribution and future research on factors which are associated with extreme values of hometime that are not available in administrative data is warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01331-9.
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Affiliation(s)
- Jessalyn K Holodinsky
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N4N1, Canada.
| | - Amy Y X Yu
- ICES, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Moira K Kapral
- ICES, Toronto, ON, Canada.,Department of Medicine (General Internal Medicine), University of Toronto and University Health Network, Toronto, ON, Canada.,Management, and Evaluation, Institute of Health Policy, University of Toronto, Toronto, ON, Canada
| | - Peter C Austin
- ICES, Toronto, ON, Canada.,Management, and Evaluation, Institute of Health Policy, University of Toronto, Toronto, ON, Canada.,Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
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10
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Holodinsky JK, Yu AYX, Kapral MK, Austin PC. Using random forests to model 90-day hometime in people with stroke. BMC Med Res Methodol 2021; 21:102. [PMID: 33971827 PMCID: PMC8112132 DOI: 10.1186/s12874-021-01289-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 04/21/2021] [Indexed: 02/05/2023] Open
Abstract
Background Ninety-day hometime, the number of days a patient is living in the community in the first 90 after stroke, exhibits a non-normal bucket-shaped distribution, with lower and upper constraints making its analysis difficult. In this proof-of-concept study we evaluated the performance of random forests regression in the analysis of hometime. Methods Using administrative data we identified stroke hospitalizations between 2010 and 2017 in Ontario, Canada. We used random forests regression to predict 90-day hometime using 15 covariates. Model accuracy was determined using the r-squared statistic. Variable importance in prediction and the marginal effects of each covariate were explored. Results We identified 75,745 eligible patients. Median 90-day hometime was 59 days (Q1: 2, Q3: 83). Random forests predicted hometime with reasonable accuracy (adjusted r-squared 0.3462); no implausible values were predicted but extreme values were predicted with low accuracy. Frailty, stroke severity, and age exhibited inverse non-linear relationships with hometime and patients arriving by ambulance had less hometime than those who did not. Conclusions Random forests may be a useful method for analyzing 90-day hometime and capturing the complex non-linear relationships which exist between predictors and hometime. Future work should compare random forests to other models and focus on improving the accuracy of predictions of extreme values of hometime. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01289-8.
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Affiliation(s)
- Jessalyn K Holodinsky
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N4N1, Canada.
| | - Amy Y X Yu
- ICES, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Moira K Kapral
- ICES, Toronto, ON, Canada.,Department of Medicine (General Internal Medicine), University of Toronto and University Health Network, Toronto, ON, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Peter C Austin
- ICES, Toronto, ON, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.,Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
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11
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Schatlo B, Fung C, Stienen MN, Fathi AR, Fandino J, Smoll NR, Zumofen D, Daniel RT, Burkhardt JK, Bervini D, Marbacher S, Reinert M, D Alonzo D, Ahlborn P, Mendes Pereira V, Roethlisberger M, Seule M, Kerkeni H, Remonda L, Weyerbrock A, Woernle K, Venier A, Perren F, Sailer M, Robert T, Rohde V, Schöni D, Goldberg J, Nevzati E, Diepers M, Gralla J, Z'Graggen W, Starnoni D, Woernle C, Maldaner N, Kulcsar Z, Mostaguir K, Maduri R, Eisenring C, Bernays R, Ferrari A, Dan-Ura H, Finkenstädt S, Gasche Y, Sarrafzadeh A, Jakob SM, Corniola M, Baumann F, Regli L, Levivier M, Hildebrandt G, Landolt H, Mariani L, Guzman R, Beck J, Raabe A, Keller E, Bijlenga P, Schaller K. Incidence and Outcome of Aneurysmal Subarachnoid Hemorrhage: The Swiss Study on Subarachnoid Hemorrhage (Swiss SOS). Stroke 2020; 52:344-347. [PMID: 33272133 DOI: 10.1161/strokeaha.120.029538] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The purpose of this study was to assess nationwide incidence and outcomes of aneurysmal subarachnoid hemorrhage (aSAH). The Swiss SOS (Swiss Study on Subarachnoid Hemorrhage) was established in 2008 and offers the unique opportunity to provide this data from the point of care on a nationwide level. METHODS All patients with confirmed aneurysmal subarachnoid hemorrhage admitted between January 1, 2009 and December 31, 2014, within Switzerland were recorded in a prospective registry. Incidence rates were calculated based on time-matched population data. Admission parameters and outcomes at discharge and at 1 year were recorded. RESULTS We recorded data of 1787 consecutive patients. The incidence of aneurysmal subarachnoid hemorrhage in Switzerland was 3.7 per 100 000 persons/y. The number of female patients was 1170 (65.5%). With a follow-up rate of 91.3% at 1 year, 1042 patients (58.8%) led an independent life according to the modified Rankin Scale (0-2). About 1 in 10 patients survived in a dependent state (modified Rankin Scale, 3-5; n=185; 10.4%). Case fatality was 20.1% (n=356) at discharge and 22.1% (n=391) after 1 year. CONCLUSIONS The current incidence of aneurysmal subarachnoid hemorrhage in Switzerland is lower than expected and an indication of a global trend toward decreasing admissions for ruptured intracranial aneurysms. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03245866.
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Affiliation(s)
- Bawarjan Schatlo
- Neurosurgery (B.S., A.S., M.C., P.B., K.S.), University Hospital Geneva, Switzerland.,Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland.,Neurosurgery, University Hospital Göttingen Germany (B.S., V.R.)
| | - Christian Fung
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland.,Department of Neurosurgery, Faculty of Medicine, Medical Center, University of Freiburg, Germany (J.B., C.F.)
| | - Martin N Stienen
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Ali R Fathi
- Neurosurgery, Hirslanden Klinik Aarau Switzerland (A.R.F.)
| | - Javier Fandino
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Nicolas R Smoll
- School of Population and Global, University of Melbourne Australia (N.R.S.)
| | - Daniel Zumofen
- Neurosurgery, University Hospital Basel Switzerland (D.Z., M. Roethlisberger, M. Sailer, L.M., R.G.)
| | - Roy Thomas Daniel
- Neurosurgery, University Hospital Lausanne Switzerland (R.T.D., D. Starnoni, R.M., M.L.)
| | - Jan-Karl Burkhardt
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - David Bervini
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland
| | - Serge Marbacher
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Michael Reinert
- Neurosurgery, Ospedale Civico Lugano Switzerland (M. Reinert, A.V., T.R.)
| | - Donato D Alonzo
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Peter Ahlborn
- Neurosurgery, Kantonsspital St. Gallen Switzerland (P.A., M. Seule, A.W., A.F., G.H.)
| | | | - Michel Roethlisberger
- Neurosurgery, University Hospital Basel Switzerland (D.Z., M. Roethlisberger, M. Sailer, L.M., R.G.)
| | - Martin Seule
- Neurosurgery, Kantonsspital St. Gallen Switzerland (P.A., M. Seule, A.W., A.F., G.H.)
| | | | - Luca Remonda
- Neuroradiology (L.R., M.D.), Kantonsspital Aarau Switzerland
| | - Astrid Weyerbrock
- Neurosurgery, Kantonsspital St. Gallen Switzerland (P.A., M. Seule, A.W., A.F., G.H.)
| | - Kerstin Woernle
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Alice Venier
- Neurosurgery, Ospedale Civico Lugano Switzerland (M. Reinert, A.V., T.R.)
| | | | - Martin Sailer
- Neurosurgery, University Hospital Basel Switzerland (D.Z., M. Roethlisberger, M. Sailer, L.M., R.G.)
| | - Thomas Robert
- Neurosurgery, Ospedale Civico Lugano Switzerland (M. Reinert, A.V., T.R.)
| | - Veit Rohde
- Neurosurgery, University Hospital Göttingen Germany (B.S., V.R.)
| | - Daniel Schöni
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland
| | - Johannes Goldberg
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland
| | - Edin Nevzati
- Neurosurgery, Kantonsspital Luzern Switzerland (E.N., F.B.)
| | - Michael Diepers
- Neuroradiology (L.R., M.D.), Kantonsspital Aarau Switzerland
| | - Jan Gralla
- Neuroradiology (J. Gralla, W.Z.), University Hospital Bern Switzerland
| | - Werner Z'Graggen
- Neuroradiology (J. Gralla, W.Z.), University Hospital Bern Switzerland
| | - Daniele Starnoni
- Neurosurgery, University Hospital Lausanne Switzerland (R.T.D., D. Starnoni, R.M., M.L.)
| | - Christoph Woernle
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Nicolai Maldaner
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, University Hospital Zürich, Switzerland (Z.K.)
| | - Khaled Mostaguir
- Clinical Research Centre, (K.M.), University Hospital Geneva, Switzerland
| | - Rodolfo Maduri
- Neurosurgery, University Hospital Lausanne Switzerland (R.T.D., D. Starnoni, R.M., M.L.)
| | - Christian Eisenring
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland
| | - René Bernays
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Andrea Ferrari
- Neurosurgery, Kantonsspital St. Gallen Switzerland (P.A., M. Seule, A.W., A.F., G.H.)
| | - Hiroki Dan-Ura
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Sina Finkenstädt
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Yvan Gasche
- Intensive Care Medicine (Y.G.), University Hospital Geneva, Switzerland
| | - Asita Sarrafzadeh
- Neurosurgery (B.S., A.S., M.C., P.B., K.S.), University Hospital Geneva, Switzerland
| | - Stephan M Jakob
- Intensive Care Medicine (S.M.J.), University Hospital Bern Switzerland
| | - Marco Corniola
- Neurosurgery (B.S., A.S., M.C., P.B., K.S.), University Hospital Geneva, Switzerland
| | - Fabian Baumann
- Neurosurgery, Kantonsspital Luzern Switzerland (E.N., F.B.)
| | - Luca Regli
- Neurosurgery (M.N.S., J.-K.B., C.W., N.M., R.B., S.F., L.R.), University Hospital Zürich Switzerland
| | - Marc Levivier
- Neurosurgery, University Hospital Lausanne Switzerland (R.T.D., D. Starnoni, R.M., M.L.)
| | - Gerhard Hildebrandt
- Neurosurgery, Kantonsspital St. Gallen Switzerland (P.A., M. Seule, A.W., A.F., G.H.)
| | - Hans Landolt
- Neurosurgery (B.S., J.F., S.M., D.D., K.W., H.D.U., H.L.), Kantonsspital Aarau Switzerland
| | - Luigi Mariani
- Neurosurgery, University Hospital Basel Switzerland (D.Z., M. Roethlisberger, M. Sailer, L.M., R.G.)
| | - Raphael Guzman
- Neurosurgery, University Hospital Basel Switzerland (D.Z., M. Roethlisberger, M. Sailer, L.M., R.G.)
| | - Jürgen Beck
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland.,Department of Neurosurgery, Faculty of Medicine, Medical Center, University of Freiburg, Germany (J.B., C.F.)
| | - Andreas Raabe
- Neurosurgery (C.F., D.B., D. Schöni, J. Goldberg, C.E., J.B., A.R.), University Hospital Bern Switzerland
| | - Emanuela Keller
- Intensive Care Medicine (E.K.), University Hospital Zürich Switzerland
| | - Philippe Bijlenga
- Neurosurgery (B.S., A.S., M.C., P.B., K.S.), University Hospital Geneva, Switzerland
| | - Karl Schaller
- Neurosurgery (B.S., A.S., M.C., P.B., K.S.), University Hospital Geneva, Switzerland
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Van Houtven CH, Smith VA, Sperber NR, Coffman CJ, Hastings SN. Advancing the science of population-based measures of home-time. HEALTHCARE-THE JOURNAL OF DELIVERY SCIENCE AND INNOVATION 2020; 8:100463. [PMID: 32992111 DOI: 10.1016/j.hjdsi.2020.100463] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 07/22/2020] [Accepted: 08/06/2020] [Indexed: 10/23/2022]
Abstract
The "home time" measure is gaining appeal in evaluating outcomes for multiple patient populations including post-surgery or intervention and the last 6 months of life. Advancing the science of home time measures will require obtaining the perspectives of patients and caregivers to arrive at a population-based measure of quality of life. Additionally, measure development requires considerations of what care settings denote time away from home, observation period, and thresholds that are clinically significant. We explore examples and challenges from current research and our own experience. Being able to advance such measures could also inform payment models and policy design.
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Affiliation(s)
- Courtney Harold Van Houtven
- Durham VA Health Care System, Durham, NC; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA.
| | - Valerie A Smith
- Durham VA Health Care System, Durham, NC; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of General Internal Medicine, Durham, NC, USA
| | - Nina R Sperber
- Durham VA Health Care System, Durham, NC; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA
| | - Cynthia J Coffman
- Durham VA Health Care System, Durham, NC; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Biostatistics and Bioinformatics, Durham, NC, USA
| | - Susan Nicole Hastings
- Durham VA Health Care System, Durham, NC; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Durham, NC, USA; Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA
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Gattellari M, Goumas C, Jalaludin B, Worthington J. Measuring stroke outcomes for 74 501 patients using linked administrative data: System-wide estimates and validation of 'home-time' as a surrogate measure of functional status. Int J Clin Pract 2020; 74:e13484. [PMID: 32003055 DOI: 10.1111/ijcp.13484] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 01/20/2020] [Accepted: 01/27/2020] [Indexed: 01/06/2023] Open
Abstract
AIMS Administrative data offer cost-effective, whole-of-population stroke surveillance yet the lack of validated measures of functional status is a shortcoming. The number of days spent living at home after stroke ('home-time') is a patient-centred outcome that can be objectively ascertained from administrative data. Population-based validation against both severity and outcome measures and for all subtypes is lacking. We aimed to report representative 'home-time' estimates and validate 'home-time' as a surrogate measure of functional status after stroke. METHODS Stroke hospitalisations from a state-wide census in New South Wales, Australia, from January 1, 2005 to March 31, 2014 were linked to prehospital data, poststroke admissions and deaths. We correlated 90-day 'home-time' with Glasgow Coma Scale (GCS) scores, measured upon a patient's initial contact with paramedics and Functional Independence Measure (FIM) scores, measured upon entry to rehabilitation after the acute hospital stroke admission. Negative binomial regressions identified predictors of 'home-time'. RESULTS Patients with stroke (N = 74 501) spent a median of 53 days living at home 90 days after the event. Median 'home-time' was 60 days after ischaemic stroke, 49 days after subarachnoid haemorrhage and 0 days after intracerebral haemorrhage. GCS and FIM scores significantly correlated with 'home-time' (P < .001). Women spent significantly less time at home compared with men after stroke, although being married increased 'home-time' after ischaemic stroke and subarachnoid haemorrhage. CONCLUSIONS These findings underscore the immediate and adverse impact of stroke. 'Home-time' measured using administrative data is a robust, replicable and valid patient-centred outcome enabling inexpensive population-based surveillance and system-wide quality assessment.
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Affiliation(s)
- Melina Gattellari
- Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Chris Goumas
- Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Bin Jalaludin
- Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- Population Health Intelligence, Healthy People and Places Unit, South Western Sydney Local Health District, Sydney, NSW, Australia
- School of Public Health, The University of New South Wales, Sydney, NSW, Australia
| | - John Worthington
- Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
- South Western Sydney Clinical School, The University of New South Wales, Sydney, NSW, Australia
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14
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McCarthy CP, Murphy S, Rehman S, Jones-O'Connor M, Olshan DS, Cohen JA, Cui J, Singh A, Vaduganathan M, Januzzi JL, Wasfy JH. Home-Time After Discharge Among Patients With Type 2 Myocardial Infarction. J Am Heart Assoc 2020; 9:e015978. [PMID: 32384008 PMCID: PMC7660891 DOI: 10.1161/jaha.119.015978] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Home-time, defined as the time spent alive outside of a healthcare institution, has emerged as a patient-centered health outcome. The discharge locations and distribution of home-time after a type 2 myocardial infarction are unknown. Methods and Results Patients with a type 2 myocardial infarction between October 2017 and May 2018 at Massachusetts General Hospital were included. Patients discharged to hospice or without follow-up data were excluded. Our primary outcome was home-time defined as the number of days lived outside of a hospital, long-term acute care facility, skilled nursing facility, or rehabilitation facility. We identified 359 patients with type 2 myocardial infarction over the study period. Of those discharged alive (N=321), 62.9% were discharged home, and the remainder went to a facility or hospice. Among those with available follow-up data (N=289), the median home-time was 30 (interquartile range [IQR], 16-30) days at 30 days, 171 (IQR, 133-180) days at 180 days, and 347 (IQR, 203-362) days at 365 days. At 1 year, 29 patients (10%) with type 2 myocardial infarction had spent no time at home and only 57 patients (19.7%) spent the entire year alive and at home. At 1 year, postdischarge all-cause mortality was 23.2%, all-cause readmission was 69.2%, and major adverse cardiovascular events (composite of all-cause mortality, recurrent myocardial infarction, or stroke) was 34.9%. Home-time through 1 year correlated strongly with time-to-event all-cause mortality (τ=0.54, P<0.001) and major adverse cardiovascular events (τ=0.52, P<0.001) and modestly with a composite of all-cause mortality or readmission (τ=0.44, P<0.001). Conclusions Home-time is low after a hospitalization for type 2 myocardial infarction and correlates strongly with mortality and major adverse cardiovascular events.
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Affiliation(s)
- Cian P McCarthy
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | - Sean Murphy
- Department of Medicine Massachusetts General Hospital Boston MA
| | - Saad Rehman
- Department of Medicine Massachusetts General Hospital Boston MA
| | | | - David S Olshan
- Department of Medicine Massachusetts General Hospital Boston MA
| | - Joshua A Cohen
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Cleveland OH
| | - Jinghan Cui
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | | | - Muthiah Vaduganathan
- Brigham and Women's Hospital Heart & Vascular Center Harvard Medical School Boston MA
| | - James L Januzzi
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | - Jason H Wasfy
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
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Rautalin IM, Sebök M, Germans MR, Korja M, Dannecker N, Zindel-Geisseler O, Brugger P, Regli L, Stienen MN. Screening tools for early neuropsychological impairment after aneurysmal subarachnoid hemorrhage. Neurol Sci 2020; 41:817-824. [PMID: 31802342 PMCID: PMC7160061 DOI: 10.1007/s10072-019-04159-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 11/14/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Although most aneurysmal subarachnoid hemorrhage (aSAH) patients suffer from neuropsychological disabilities, outcome estimation is commonly based only on functional disability scales such as the modified Rankin Scale (mRS). Moreover, early neuropsychological screening tools are not used routinely. OBJECTIVE To study whether two simple neuropsychological screening tools identify neuropsychological deficits (NPDs), among aSAH patients categorized with favorable outcome (mRS 0-2) at discharge. METHODS We reviewed 170 consecutive aSAH patients that were registered in a prospective institutional database. We included all patients graded by the mRS at discharge, and who had additionally been evaluated by a neuropsychologist and/or occupational therapist using the Montreal Cognitive Assessment (MoCA) and/or Rapid Evaluation of Cognitive Function (ERFC). The proportion of patients with scores indicative of NPDs in each test were reported, and spearman correlation tests calculated the coefficients between the both neuropsychological test results and the mRS. RESULTS Of the 42 patients (24.7%) that were evaluated by at least one neuropsychological test, 34 (81.0%) were rated mRS 0-2 at discharge. Among these 34 patients, NPDs were identified in 14 (53.9%) according to the MoCA and 8 (66.7%) according to the ERFC. The mRS score was not correlated with the performance in the MoCA or ERFC. CONCLUSION The two screening tools implemented here frequently identified NPDs among aSAH patients that were categorized with favorable outcome according to the mRS. Our results suggest that MoCA or ERFC could be used to screen early NPDs in favorable outcome patients, who in turn might benefit from early neuropsychological rehabilitation.
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Affiliation(s)
- Ilari M Rautalin
- Department of Neurosurgery, University Hospital Zurich & Clinical Neuroscience Center University of Zurich, Zurich, Switzerland.
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
| | - Martina Sebök
- Department of Neurosurgery, University Hospital Zurich & Clinical Neuroscience Center University of Zurich, Zurich, Switzerland
| | - Menno R Germans
- Department of Neurosurgery, University Hospital Zurich & Clinical Neuroscience Center University of Zurich, Zurich, Switzerland
| | - Miikka Korja
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Noemi Dannecker
- Neuropsychology Unit, Department of Neurology, University Hospital Zurich & Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Olivia Zindel-Geisseler
- Neuropsychology Unit, Department of Neurology, University Hospital Zurich & Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Peter Brugger
- Neuropsychology Unit, Department of Neurology, University Hospital Zurich & Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich & Clinical Neuroscience Center University of Zurich, Zurich, Switzerland
| | - Martin N Stienen
- Department of Neurosurgery, University Hospital Zurich & Clinical Neuroscience Center University of Zurich, Zurich, Switzerland
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Prioritization and Timing of Outcomes and Endpoints After Aneurysmal Subarachnoid Hemorrhage in Clinical Trials and Observational Studies: Proposal of a Multidisciplinary Research Group. Neurocrit Care 2020; 30:102-113. [PMID: 31123994 DOI: 10.1007/s12028-019-00737-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION In studies on aneurysmal subarachnoid hemorrhage (SAH), substantial variability exists in the use and timing of outcomes and endpoints, which complicates interpretation and comparison of results between studies. The aim of the National Institute of Health/National Institute of Neurological Disorders and Stroke/National Library of Medicine Unruptured Intracranial Aneurysm (UIA) and SAH common data elements (CDE) Project was to provide a common structure for future UIA and SAH research. METHODS This article summarizes the recommendations of the UIA and SAH CDE Outcomes and Endpoints subgroup, which consisted of an international and multidisciplinary ad hoc panel of experts in clinical outcomes after SAH. Consensus recommendations were developed by review of previously published CDEs for other neurological diseases and the SAH literature. Recommendations for CDEs were classified by priority into "Core," "Supplemental-Highly Recommended," "Supplemental," and "Exploratory." RESULTS The subgroup identified over 50 outcomes measures and template case report forms (CRFs) to be included as part of the UIA and SAH CDE recommendations. None was classified as "Core". The modified Rankin Scale score and Montreal Cognitive Assessment were considered the preferred outcomes and classified as Supplemental-Highly Recommended. Death, Glasgow Outcome Scale score, and Glasgow Outcome Scale-extended were classified as Supplemental. All other outcome measures were categorized as "Exploratory". We propose outcome assessment at 3 months and at 12 months for studies interested in long-term outcomes. We give recommendations for standardized dichotomization. CONCLUSION The recommended outcome measures and CRFs have been distilled from a broad pool of potentially useful CDEs, scales, instruments, and endpoints. The adherence to these recommendations will facilitate the comparison of results across studies and meta-analyses of individual patient data.
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McDermid I, Barber M, Dennis M, Langhorne P, Macleod MJ, McAlpine CH, Quinn TJ. Home-Time Is a Feasible and Valid Stroke Outcome Measure in National Datasets. Stroke 2020; 50:1282-1285. [PMID: 30896358 DOI: 10.1161/strokeaha.118.023916] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Home-time (HT) is a stroke outcome measure based on time spent at home after stroke. We hypothesized that HT assessment would be feasible and valid using national data. Methods- We linked the Scottish Stroke Care Audit to routine healthcare data and calculated 90-day HT for all strokes, 2005 to 2017. We described prognostic validity (Spearman rank correlation) of HT to baseline factors. Results- We were able to calculate HT for 101 969 strokes (99.3% of total Scottish strokes). Mean HT was 46 days (95% CI, 45.8-46.2; range, 0-90). HT showed consistent correlation with our prespecified prognostic factors: age: ρ, -0.35 (95% CI, -0.35 to -0.36); National Institutes of Health Stroke Scale score, -0.54 (95% CI, -0.52 to -0.55); and 6 simple variables (ordinal), -0.61 (95% CI, -0.61 to -0.62). Conclusions- HT can be derived at scale using routine clinical data and appears to be a valid proxy measure of functional recovery. Other national databases could use HT as a time and cost efficient measure of medium and longer-term outcomes.
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Affiliation(s)
- Iain McDermid
- From the NHS National Services Scotland, Edinburgh (I.M.D.)
| | - Mark Barber
- NHS Lanarkshire Stroke MCN, Monklands Hospital, Airdrie, United Kingdom (M.B.)
| | - Martin Dennis
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom (M.D.)
| | - Peter Langhorne
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (P.L., T.J.Q.)
| | - Mary J Macleod
- Division of Applied Medicine, Department of Medicine and Therapeutics, University of Aberdeen, United Kingdom (M.J.M.)
| | | | - Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (P.L., T.J.Q.)
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18
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Stienen MN, Akeret K, Vasella F, Velz J, Jehli E, Scheffler P, Voglis S, Bichsel O, Smoll NR, Bozinov O, Regli L, Germans MR. COveRs to impRove AesthetiC ouTcome after Surgery for Chronic subdural haemAtoma by buRr hole trepanation (CORRECT-SCAR): protocol of a Swiss single-blinded, randomised controlled trial. BMJ Open 2019; 9:e031375. [PMID: 31811007 PMCID: PMC6924766 DOI: 10.1136/bmjopen-2019-031375] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Outcomes rated on impairment scales are satisfactory after burr hole trepanation for chronic subdural haematoma (cSDH). However, the surgery leads to bony defects in the skull with skin depressions above that are frequently considered aesthetically unsatisfactory by the patients. Those defects could be covered by the approved medical devices (burr hole covers), but this is rarely done today. We wish to assess, whether the application of burr hole covers after trepanation for the evacuation of cSDH leads to higher patient satisfaction with the aesthetical result at 90 days postoperative, without worsening disability outcomes or increasing the complication rate. METHODS AND ANALYSIS This is a prospective, single-blinded, randomised, controlled, investigator-initiated clinical trial enrolling 80 adult patients with first-time unilateral or bilateral cSDH in Switzerland. The primary outcome is the difference in satisfaction with the aesthetic result of the scar, comparing patients allocated to the intervention (burr hole cover) and control (no burr hole cover) group, measured on the Aesthetic Numeric Analogue scale at 90 days postoperative. Secondary outcomes include differences in the rates of skin depression, complications, as well as neurological, disability and health-related quality of life outcomes until 12 months postoperative. ETHICS AND DISSEMINATION The institutional review board (Kantonale Ethikkommission Zürich) approved this study on 29 January 2019 under case number BASEC 2018-01180. This study determines, whether a relatively minor modification of a standard surgical procedure can improve patient satisfaction, without worsening functional outcomes or increasing the complication rate. The outcome corresponds to the value-based medicine approach of modern patient-centred medicine. Results will be published in peer-reviewed journals and electronic patient data will be safely stored for 15 years. TRIAL REGISTRATION NUMBER NCT03755349.
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Affiliation(s)
- Martin N Stienen
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Kevin Akeret
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Flavio Vasella
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Julia Velz
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Elisabeth Jehli
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Pierre Scheffler
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Stefanos Voglis
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Oliver Bichsel
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Nicolas Roydon Smoll
- School of Population and Global Health, University of Melbourne, Melbourne, Sydney, Australia
| | - Oliver Bozinov
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
| | - Menno R Germans
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
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Yu AYX, Fang J, Porter J, Austin PC, Smith EE, Kapral MK. Hospital-based cohort study to determine the association between home-time and disability after stroke by age, sex, stroke type and study year in Canada. BMJ Open 2019; 9:e031379. [PMID: 31719083 PMCID: PMC6858198 DOI: 10.1136/bmjopen-2019-031379] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Home-time is an emerging patient-centred stroke outcome metric, but it is not well described in the population. We aimed to determine the association between 90-day home-time and global disability after stroke. We hypothesised that longer home-time would be associated with less disability. DESIGN Hospital-based cohort study of patients with ischaemic stroke or intracerebral haemorrhage admitted to an acute care hospital between 1 April 2002 and 31 March 2013. SETTING All regional stroke centres and a simple random sample of patients from all other hospitals across the province of Ontario, Canada. PARTICIPANTS We included 39 417 adult patients (84% ischaemic, 16% haemorrhage), 53% male, with a median age of 74 years. We excluded non-residents of Ontario, patients without a valid health insurance number, patients discharged against medical advice or those who failed to return from a pass, patients living in a long-term care centre at baseline and stroke events occurring in-hospital. PRIMARY OUTCOME MEASURE Association between 90-day home-time, defined as the number of days spent at home in the first 90 days after stroke, obtained using linked administrative data and modified Rankin Scale score at discharge. RESULTS Compared with people with no disability, those with minimal disability had less home-time (adjusted rate ratio (aRR) 0.96, 95% CI 0.93 to 0.98) and those with the most severe disability had the least home-time (aRR 0.05, 95% CI 0.04 to 0.05). We found no clinically relevant modification by stroke type, sex or study year. However, for a given level of disability, older patients experienced less home-time compared with younger patients. CONCLUSIONS Our results provide content validity for home-time to be used to monitor stroke outcomes in large populations or to study temporal trends. Older patients experience less home-time for a given level of disability, suggesting the need for stratification by age.
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Affiliation(s)
- Amy Ying Xin Yu
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Jiming Fang
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Joan Porter
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Peter C Austin
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Moira K Kapral
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto, Toronto, Ontario, Canada
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Does aneurysm side influence the infarction side and patients´ outcome after subarachnoid hemorrhage? PLoS One 2019; 14:e0224013. [PMID: 31697715 PMCID: PMC6837438 DOI: 10.1371/journal.pone.0224013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 10/03/2019] [Indexed: 11/30/2022] Open
Abstract
Background The prognostic factors and outcome of aneurysms appear to be dependent on its locations. Therefore, we compared left- and right- sided aneurysms in patients with aneurysmal subarachnoid hemorrhage (SAH) in terms of differences in outcome and prognostic factors. Methods Patients with SAH were entered into a prospectively collected database. A total of 509 patients with aneurysmal subarachnoid hemorrhage were retrospectively selected and stratified in two groups depending on side of ruptured aneurysm (right n = 284 vs. left n = 225). Midline aneurysms of the basilar and anterior communicating arteries were excluded from the analysis. Outcomes were assessed using the modified Rankin Scale (mRS; favorable (mRS 0–2) vs. unfavorable (mRS 3–6)) six months after SAH. Results We did not identify any differences in outcome depending on left- and right-sided ruptured aneurysms. In both groups, the significant negative predictive factors included clinical admission status (WFNS IV+V), Fisher 3- bleeding pattern in CT, the occurrence of delayed cerebral ischemia (DCI), early hydrocephalus and later shunt-dependence. The side of the ruptured aneurysm does not seem to influence patients´ outcome. Interestingly, the aneurysm side predicts the side of infarction, with a significant influence on patients´ outcome in case of left-sided infarctions. In addition, the in multivariate analysis side of aneurysm was an independent predictor for the side of cerebral infarctions. Conclusion The side of the ruptured aneurysms (right or left) did not influence patients’ outcome. However, the aneurysm-side predicts the side of delayed infarctions and outcome appear to be worse in patients with left-sided infarctions.
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Objective measures of functional impairment for degenerative diseases of the lumbar spine: a systematic review of the literature. Spine J 2019; 19:1276-1293. [PMID: 30831316 DOI: 10.1016/j.spinee.2019.02.014] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 02/24/2019] [Accepted: 02/24/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND CONTEXT The accurate determination of a patient's functional status is necessary for therapeutic decision-making and to critically appraise treatment efficacy. Current subjective patient-reported outcome measure (PROM)-based assessments have limitations and can be complimented by objective measures of function. PURPOSE To systematically review the literature and provide an overview on the available objective measures of function for patients with degenerative diseases of the lumbar spine. STUDY DESIGN/SETTING Systematic review of the literature. METHODS The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Two reviewers independently searched the PubMed, Web of Science, EMBASE, and SCOPUS databases for permutations of the words "objective," "assessment," "function," "lumbar," and "spine" including articles on human subjects with degenerative diseases of the lumbar spine that reported on objective measures of function, published until September 2018. Risk of bias was not assessed. No funding was received. The authors report no conflicts of interest. RESULTS Of 2,389 identified articles, 82 were included in the final analysis. There was a significant increase of 0.12 per year in the number of publications dealing with objective measures of function since 1989 (95% CI 0.08-0.16, p<.001). Some publications studied multiple diagnoses and objective measures. The United States was the leading nation in terms of scientific output for objective outcome measures (n=21; 25.6%), followed by Switzerland (n=17; 20.7%), Canada, Germany, and the United Kingdom (each n=6; 7.3%). Our search revealed 21 different types of objective measures, predominantly applied to patients with lumbar spinal stenosis (n=67 publications; 81.7%), chronic/unspecific low back pain (n=28; 34.2%) and lumbar disc herniation (n=22; 26.8%). The Timed-Up-and-Go test was the most frequently applied measure (n=26 publications; 31.7%; cumulative number of reported subjects: 5,181), followed by the Motorized Treadmill Test (n=25 publications; 30.5%, 1,499 subjects) and with each n=9 publications (11.0%) the Five-Repetition Sit-To-Stand test (955 subjects), as well as accelerometry analyses (336 subjects). The reliability and validity of many of the less-applied objective measures was uncertain. There was profound heterogeneity in their application and interpretation of results. CONCLUSIONS Clinical studies on patients with lumbar degenerative diseases increasingly employ objective measures of function, which offer high potential for improving the quality of outcome measurement in patient-care and research. This review provides an overview on available options. Our findings call for an agreement and standardization in terms of test selection, conduction and analysis to facilitate comparison of results across cohorts. PROSPERO REGISTRATION NUMBER CRD42019122622.
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