Research ProposalPDF Available

Impact of certified stroke care: A nationwide analysis of the potential to improve outcomes (PASCH)

Authors:
1
Impact of certified stroke care: A nationwide analysis of the
potential to improve outcomes (PASCH)
Authors
Evers J1, Schneider M1, Schmitt J2, Günster C3, Barlinn J4, Neumann-Haefelin5, Karagiannidis
C6, Bschor T7, Geraedts M1
Affiliations
1Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität
Marburg, Marburg, Germany
2Center for Evidence-Based Healthcare, University Hospital and Faculty of Medicine Carl
Gustav Carus, Dresden, Germany
3AOK Research Institute, Berlin, Germany
4Department of Neurology, University Hospital Carl Gustav Carus Dresden, Technische
Universität Dresden, Germany
5Department of Neurology, Klinikum Fulda, Fulda, Germany
6Department of Pneumology and Critical Care Medicine, ARDS and ECMO Centre, Cologne-
Merheim Hospital, Kliniken der Stadt Köln gGmbH, Witten/Herdecke University Hospital,
Cologne, Germany
7Government commission for modern and needs-based hospital care, c/o Federal Ministry of
Health, Berlin, and Department of Psychiatry and Psychotherapy, University Hospital of
Dresden, Dresden, Germany
Corresponding Author
Geraedts M: Institute for Health Services Research and Clinical Epidemiology, Philipps-
Universität Marburg, Marburg, Germany; E-Mail: geraedts@uni-marburg.de
2
Abstract
Background: Despite Germany's extensive healthcare resources and high hospital density,
challenges persist in optimizing healthcare quality and safety. The Government Commission
for Modern and Needs-Based Hospital Care emphasizes the need for concentrated and
specialized healthcare services to enhance treatment outcomes and patient safety.
Preliminary analyses suggest that quality assurance measures, especially when integrated into
the care at certified stroke centers, may lead to significantly lower mortality risks following
strokes. However, comprehensive nationwide more recent data and consideration of multiple
confounders have been lacking. The planned study aims to fill this gap by assessing the
potential benefits of exclusive treatment in certified stroke centers across Germany, thereby
providing a detailed exploration of the impact of specialized stroke care on patient outcomes,
including survival rates, stroke recurrence, long-term care level increase, and rehospitalization
rates.
Methods and Analysis: This retrospective cohort study will use claims data of Germany’s
largest statutory health care insurer (“AOK”) to analyze acute stroke outcomes over intervals
up to one year, focusing on survival rates, long-term care level increase, stroke recurrence, and
rehospitalization. Data span is set from 2021 to 2022, targeting AOK-insured individuals aged
20 years or older hospitalized for acute stroke, differentiating between primary and secondary
study groups based on treatment history and treatment intention. Facilities are classified into
(certified) Stroke Units and hospitals without Stroke Unit, with subcategories reflecting the
level of stroke care specialization. The analysis will consider confounders like age, gender,
comorbidity, patient transfers, and palliative care intention. Statistical methods will
encompass descriptive analyses, univariate estimations of mortality and secondary outcomes,
and multivariable logistic regression adjusting for confounders to evaluate the impact of
hospital specialization on patient outcomes, aiming to understand how certification and
specialization influence stroke care quality in Germany.
Ethics
This dataset does not identify institutions or patients. According to §15 of the Professional
Code for Physicians in Germany, a vote of an ethics committee is not required for this study.
3
Introduction
The German healthcare system, despite its substantial investment in healthcare and a high
density of hospitals, faces challenges in ensuring and enhancing the quality and safety of
healthcare [1]. The Government Commission for Modern and Needs-Based Hospital Care has
highlighted the importance of concentrating and specializing healthcare services to
significantly improve treatment outcomes and patient safety, as demonstrated in a recent
‘analysis of potential’ [2]. This analysis underscores that quality assurance measures are linked
to a lower mortality risk with a more pronounced effect observed when care is centralized in
institutions with specialized qualifications.
A specific focus of this analysis on the survival rates of stroke patients revealed that those
treated in certified stroke centers had higher survival rates [3]. However, this study
acknowledges several limitations related to potential confounders and was criticized for using
outdated data. In light of these findings, the subsequent study aims to extend the analysis by
incorporating multiple confounders and leveraging nationwide data to offer a comprehensive
and more recent assessment of the potential benefits associated with certified stroke care.
Stroke represents a notable conflict between specialized diagnosis and treatment on the one
hand and timely acute therapies on the other hand. Thus, it can serve as a model for
implementing a stepped care approach, as outlined in recent healthcare reform plans. Recent
studies have highlighted the significance of hospital specialization in the treatment and
outcomes of stroke patients. A study conducted in the USA on acute ischemic stroke patient
characteristics, care quality, and outcomes in 2019 emphasized the importance of targeted
quality improvement efforts and resource allocation in improving care and outcomes in acute
ischemic stroke (AIS) [4]. Similarly, cost-effectiveness and enhanced patient outcomes
associated with stroke units in Australian teaching hospitals have been confirmed, indicating
that specialized care not only improves treatment outcomes but also reduces hospital length
of stay, thereby achieving cost-effectiveness [5].
Furthermore, the impact of establishing a Stroke Care Unit (SCU) in a community hospital was
found to increase the survival of stroke patients and the proportion of patients discharged
home to live independently [6]. The finding underlines that the benefits of SCUs reported in
larger tertiary centers extend to smaller community hospitals with more limited resources. The
concept of stepped Stroke Unit care has been implemented in Germany for over twenty years
4
and is facilitated through scaled certification and network development. Additionally,
variations in home-time post-discharge in older ischemic stroke survivors have been observed
to vary by hospital annual stroke volume, case-mix severity and region, indicating the influence
of hospital specialization on patient outcomes [7].
A recent meta-analysis showed endovascular thrombectomy to be of benefit to most patients
with acute ischemic stroke caused by occlusion of the proximal anterior circulation,
irrespective of patient characteristics or geographical location, so the authors called for
implications on structuring systems of care to provide timely treatment to patients with acute
ischemic stroke due to large vessel occlusion [8]
These studies collectively underscore the importance of hospital specialization and quality
assurance in stroke care. They provide a compelling rationale for the hypothesis that stroke
patients have better outcomes when treated in specialized hospitals, taking into account that
positive effects of evidence-based therapies like intravenous thrombolysis and endovascular
therapy are time-sensitive and require prompt patients’ work-up.
Given this background, the present study aims to determine the potential benefits if all stroke
patients were exclusively treated in certified clinics, focusing on how certification, integration
in a stroke-network and capabilities of hospitals specialized in stroke care impact patient
survival rates, recurrence of stroke, changes in long-term care needs, and rehospitalization
rates. This research seeks to contribute to the understanding of the role of hospital
specialization in improving stroke care outcomes in Germany.
Methods and Analysis
The study is designed as a retrospective cohort study based on routine data. Primary outcomes
are the survival rates over 10, 30, 90, 180, and 365 days after hospital admission. Secondary
outcomes are the increase in long-term care level within 1 year, stroke recurrence within 1
year and the rehospitalization due to any cause within a year.
Our study will be based on claims data from Germany’s largest statutory health care insurance
company, the AOK [9], stored at and provided by their research institute “Wissenschaftliches
5
Institut der AOK, WIdO” [10]. We will examine acute stroke events from 2021 and 2022, with
a historical look back until 2011 to consider recurrences. Participants include AOK-insured
individuals over 19 years of age (21.9 Mill. = 32.2% of Germany’s population >19 y.) who were
hospitalized for an acute stroke. For data analysis, we will form different populations, including
a primary study group, comprising patients who experienced an acute event and were treated
in a single clinic, with no known stroke in the preceding 10 years and excluding those with a
palliative care procedure code, and various secondary study groups, such as patients treated
in multiple clinics due to transfers, and those with or without palliative care, including patients
with recurrences.
The relevant discharge diagnoses will be, as classified by the International Classification of
Diseases (ICD), subarachnoid hemorrhage (I60), intracerebral hemorrhage (I61), cerebral
infarction (I63), stroke, not specified as hemorrhage or infarction (I64) and transient cerebral
ischemic attacks and related syndromes (G45, excluding G45.4) for events occurring in 2021 or
2022.
This study examines the degree of specialization of the treating facilities, categorized based on
their certification status in 2021 and 2022. These, as well as status of telemedicine network
integration, will be provided by the German Stroke Society (Deutsche Schlaganfall Gesellschaft,
DSG). The DSG is a professional organization in Germany dedicated to the research,
prevention, and treatment of stroke. The DSG plays a crucial role in setting standards for stroke
care, promoting clinical research in the field of stroke medicine, and providing education and
guidelines for healthcare professionals [11]. The DSG develops certification criteria and
standards and promotes certification through independent certification companies [12].
The study classifies hospitals into various categories, including hospitals with DSG certification
(such as supra-regional Stroke Units, regional Stroke Units with or without thrombectomy
capability, and telemedicine networked Stroke Units) and hospitals without DSG certification
(including those part of a telemedicine network and those who are not, with further
subdivisions based on the mention of a – not certified - “Stroke Unitin the hospitalsquality
report and considering the numbers of stroke cases treated and specialized stroke procedures
performed). The full categorization will be as follows:
6
A) Hospitals with Stroke Unit certification:
1. Supra-Regional Stroke Units (SRSU): These are clinics certified as supra-regional Stroke
Units, indicating the top level of specialization in stroke care.
2. Regional Stroke Units with DSG Certification (RSU): These clinics are further
subdivided based on their capabilities:
a. Regional Stroke Units with Thrombectomy Capability (RSU-T): These units are
equipped to perform thrombectomy, a critical procedure in stroke care.
b. Regional Stroke Units without Thrombectomy Capability (RSU-NT): These units,
while specialized, do not have thrombectomy facilities.
3. Telemedicine Networked Stroke Units (TNSU): Hospitals in this category are certified
as part of a telemedicine network, facilitating remote stroke care and consultations.
B) Hospitals without Stroke Unit certification, in a Telemedicine Network
4. Hospitals in a Telemedicine Network (Cooperation Hospitals, HTN): These hospitals,
although not DSG-certified, are part of a telemedicine network and are further
classified based on their self-reported capabilities:
a. Telemedicine Stroke Units with Quality Report Mention (TSU-QR): These hospitals
mention “Stroke Unitin their quality reports.
b. Telemedicine Stroke Units without Quality Report Mention (TSU-NQR): These
hospitals do not mention “Stroke Unitin their quality reports.
C) Hospitals without Stroke Unit certification, not in a Telemedicine Network: These are
categorized based on their quality report mentions:
a. Non-Telemedicine Stroke Units with Quality Report Mention (NTSU-QR):
Hospitals not in a telemedicine network but mentioning “Stroke Unit in their
quality reports.
b. Hospitals without a Stroke Unit (OSU): Hospitals neither in a telemedicine network
nor mentioning “Stroke Unitin their quality reports.
Confounders
We will consider several potential confounders to ensure the robustness of our findings. These
are age, categorized in less than 50 years and then in 10-year intervals up to over 99 years;
Gender as recorded as male or female; Comorbidity assessed using the Elixhauser Comorbidity
Conditions [13, 14], with categories less than 4, 4-6 and more than 6; Patient transfers during
7
the acute event, noting whether transfers occurred within less than or more than 24 hours of
the acute event; Primary palliative care intention, identifying patients where a palliative care
procedure code was documented.
Stratification
In addition to the general comparison between facilities with and without a certified Stroke
Unit, this study will conduct stratified analyses to further dissect the data. These analyses will
focus on centers with and without mechanical thrombectomy capability to understand the
impact of this specific treatment option, and on the combination of treatments in TSU and
(S)RSU, evaluating the outcomes of combined treatment approaches and patient transfer time
and travel distances on patient outcomes. Additionally, the study plans to standardize severity
grades across hospitals to calculate how the performance of individual hospitals would
compare in similar cases.
Analytical Approach:
A multi-faceted analytical approach will be employed:
1) Descriptive analyses are conducted for different strata based on age and risk profile.
2) Univariate estimations are used to determine the empirical frequencies of mortality within
various time frames and the occurrence of secondary endpoints.
3) Multivariable adjusted estimations are applied to assess mortality risks and secondary
endpoints. This is achieved through logistic regression models, adjusting for confounders and
clustering within hospitals.
These models initially incorporate dichotomously scaled confounders, including age groups,
gender, and comorbidity (elixhauser comorbidity conditions), along with the dichotomously
scaled certification grade of the treating hospital. The first step involves calculating the relative
risks of various confounder combinations against the group with the lowest risk profile.
Subsequently, the overall risks from the model, combining confounders and certification
grade, are determined and adjusted by dividing by the relative risk of the confounders. This
method effectively estimates the risk associated with the certification grade of the treating
hospital, adjusted for the influence of confounders mentioned.
8
Impact and dissemination
The comprehensive findings of our study on the effectiveness of certified stroke care in
Germany will evaluate the pivotal role of hospital specialization and certification in enhancing
patient outcomes post-stroke. By meticulously analyzing data from the AOK and categorizing
hospitals based on their certification status, our research will offer a nuanced understanding
of the impact specialized stroke care units have on survival rates, recurrence of stroke,
rehospitalization rates, and long-term care level changes after stroke. The study's implications
extend beyond the immediate healthcare outcomes, while highlighting the potential for
significant advancements in stroke outcomes by concentrating stroke patient care in
specialized and certified healthcare facilities.
Given the critical nature of these findings, we aim to disseminate the results widely through
publication in a peer-reviewed journal dedicated to healthcare quality and stroke care.
Additionally, we plan to present our research at relevant medical and healthcare policy
conferences to foster discussions on improving stroke care infrastructure and policy. The
publication and presentation of this study will not only contribute to academic discourse but
also inform clinical practices and healthcare policy, potentially guiding future efforts to
optimize stroke care delivery nationwide.
Authors contributions
JS: participation in study design development, critical revision of manuscript
JB: provision of data, critical revision of manuscript
TB: providing background information and references, critical revision of manuscript
CG: provision of data, participation in study design development, critical revision of manuscript
MG: study design development, participation in writing the manuscript
JE: participation in study design development, writing the manuscript
MS: participation in study design development, critical revision of manuscript
CK: providing background information, critical revision of manuscript
TN-H: providing background information, critical revision of manuscript
9
Funding statement
The study received no research grant funding.
Competing interestsstatement.
JS and TB are members of the Government Commission for Modern and Needs-Based
Hospital Care that recommended centralization of stroke care. JB is speaker of the Telestroke
committee of the German Stroke Society.
The other authors declare that they have no competing interests related to this study. This
includes any financial, personal, or professional relationships that could be perceived to
influence the work presented in this document.
References
1. Health at a Glance 2023: OECD; 2023.
2. Regierungskommission für eine moderne und bedarfsgerechte Krankenhausversorgung.
Fünfte Stellungnahme der Regierungskommission – Verbesserung von Qualität und
Sicherheit der Gesundheitsversorgung Potenzialanalyse anhand exemplarischer
Erkrankungen. 2023.
3. Geraedts M, Ebbeler D, Timmesfeld N, Kaps M, Berger K, Misselwitz B, et al. Quality
Assurance Measures and Mortality After Stroke. Dtsch Arztebl Int. 2021;118:857–63.
doi:10.3238/arztebl.m2021.0339.
4. Ziaeian B, Xu H, Matsouaka RA, Xian Y, Khan Y, Schwamm LS, et al. US Surveillance of
Acute Ischemic Stroke Patient Characteristics, Care Quality, and Outcomes for 2019.
Stroke. 2022;53:3386–93. doi:10.1161/STROKEAHA.122.039098.
5. Zhai S, Gardiner F, Neeman T, Jones B, Gawarikar Y. The Cost-Effectiveness of a Stroke
Unit in Providing Enhanced Patient Outcomes in an Australian Teaching Hospital. J Stroke
Cerebrovasc Dis. 2017;26:2362–8. doi:10.1016/j.jstrokecerebrovasdis.2017.05.025.
10
6. Tamm A, Siddiqui M, Shuaib A, Butcher K, Jassal R, Muratoglu M, Buck BH. Impact of
stroke care unit on patient outcomes in a community hospital. Stroke. 2014;45:211–6.
doi:10.1161/STROKEAHA.113.002504.
7. O'Brien EC, Xian Y, Xu H, Wu J, Saver JL, Smith EE, et al. Hospital Variation in Home-Time
After Acute Ischemic Stroke: Insights From the PROSPER Study (Patient-Centered
Research Into Outcomes Stroke Patients Prefer and Effectiveness Research). Stroke.
2016;47:2627–33. doi:10.1161/STROKEAHA.116.013563.
8. Goyal M, Menon BK, van Zwam WH, Dippel DWJ, Mitchell PJ, Demchuk AM, et al.
Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of
individual patient data from five randomised trials. Lancet. 2016;387:1723–31.
doi:10.1016/S0140-6736(16)00163-X.
9. Presse und Politik. AOK-Bundesverband | Presse und Politik. 16.01.2024.
https://www.aok.de/pp/bv/. Accessed 16 Jan 2024.
10. Bundesministerium für Gesundheit. Mitglieder und Versicherte der gesetzlichen
Krankenversicherung. 21.02.2024.
https://www.bundesgesundheitsministerium.de/themen/krankenversicherung/zahlen-
und-fakten-zur-krankenversicherung/mitglieder-und-versicherte/. Accessed 21 Feb 2024.
11. Deutsche Schlaganfall-Gesellschaft. Über uns - Deutsche Schlaganfall-Gesellschaft.
13.09.2022. https://www.dsg-info.de/ueber-uns/. Accessed 16 Jan 2024.
12. Neumann-Haefelin T, Busse O, Faiss J, Koennecke H-C, Ossenbrink M, Steinmetz H,
Nabavi D. Zertifizierungskriterien für Stroke-Units in Deutschland: Update 2022.
DGNeurologie. 2021;4:438–46. doi:10.1007/s42451-021-00379-7.
11
13. Garland A, Fransoo R, Olafson K, Ramsey C, Yogendren M, Chateau D, McGowan K-L. The
epidemiology and outcomes of critical illness in Manitoba: Canadian Electronic Library;
2012.
14. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with
administrative data. Med Care. 1998;36:8–27. doi:10.1097/00005650-199801000-00004.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Background: Quality assurance for acute in-hospital care in Germany is based on compulsory comparisons between institutions, so-called external quality assurance (eQA). The efficacy of eQA has not yet been adequately studied. The purpose of the QUASCH project, which is supported by the Innovation Fund of the Federal Joint Committee, is to investigate the association between eQA and health care outcomes, specifically with respect to stroke. Methods: The analyses were based on data from 379 825 patients insured by the AOK health insurance fund who were acutely admitted to a hospital because of stroke over the period 2007-2017. Data on 47 659 patients were derived from eQA documentation in the state of Hesse, in which stroke eQA had already been introduced in 2003; data on the remaining 332 166 patients were from other federal states, where 117 734 of these patients had been treated under eQA conditions. The association of eQA with mortality over the period of observation was analyzed by multivariate Cox regression, with the following covariates: age, sex, comorbidities, time period of occurrence, nursing care level, type of stroke, socio-economic deprivation in the region of origin, and treatment in a stroke unit. Results: In the state of Hesse, mortality risk was significantly lower with eQA than without (hazard ratio [HR]: 0.93; 95% confidence interval: [0.92; 0.95]). The reduction in mortality risk with eQA was somewhat lower in the other federal states (HR: 0.96 [0.95; 0.97]). Treatment in a stroke unit was associated with a mortality risk that was lower still (HR: 0.86 [0.85; 0.87]). Mortality risk rose with age, comorbidities, and need for nursing care; it was lower in women and in persons whose stroke occurred in a later period. Conclusion: Quality assurance measures are associated with lower mortality risk after stroke. The concentration of care in specially qualified institutions is associated with stronger effects than eQA alone.
Article
Full-text available
Background Stroke is one of the leading causes of disability and mortality. Patients who receive organized inpatient care in a stroke unit (SU) have better clinical outcomes. However, evidence on the cost analysis of an SU is lacking. The objective of this study was to assess the performance and analyze the cost-effectiveness of an SU. Methods A retrospective observational study was conducted comparing the acute stroke patient care in a 6-month period before and after the establishment of an acute SU at Calvary Hospital in 2013-2014. Results There were 103 patients included in the pre-SU period, as compared to 186 patients in the post-SU period. In the pre- and post-SU groups, 54 and 87 patients, respectively, had ischemic stroke, with significant trends in improved morbidity and mortality in the post-SU group (P = .01). The average length of stay (LOS) for patients was reduced from 9.7 days to 4.6 days in the post-SU group (P = .001). There was a reduction of cost per admission from 6382Australiandollars(AUD)withconventionalwardcareascomparedto6382 Australian dollars (AUD) with conventional ward care as compared to 6061 (AUD) with SU care. Conclusion This study confirmed that the establishment of an SU not only improves treatment outcomes but also shortens LOS, thereby achieving cost-effectiveness.
Article
BACKGROUND The United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes. METHODS Clinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge. RESULTS We estimate 552 476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60–81), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%). CONCLUSIONS We provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.
Article
Background and purpose: Stroke survivors identify home-time as a high-priority outcome; there are limited data on factors influencing home-time and home-time variability among discharging hospitals. Methods: We ascertained home-time (ie, time alive out of a hospital, inpatient rehabilitation facility, or skilled nursing facility) at 90 days and 1-year post discharge by linking data from Get With The Guidelines-Stroke Registry patients (≥65 years) to Medicare claims. Using generalized linear mixed models, we estimated adjusted mean home-time for each hospital. Using linear regression, we examined associations between hospital characteristics and risk-adjusted home-time. Results: We linked 156 887 patients with ischemic stroke at 989 hospitals to Medicare claims (2007-2011). Hospital mean home-time varied with an overall unadjusted median of 59.5 days over the first 90 days and 270.2 days over the first year. Hospital factors associated with more home-time over 90 days included higher annual stroke admission volume (number of ischemic stroke admissions per year); South, West, or Midwest geographic regions (versus Northeast); and rural location; 1-year patterns were similar. Lowest home-time quartile patients (versus highest) were more likely to be older, black, women, and have more comorbidities and severe strokes. Home-time variation decreased after risk adjustment (interquartile range, 57.4-61.4 days over 90 days; 266.3-274.2 days over 1 year). In adjusted analyses, increasing annual stroke volume and rural location were associated with significantly more home-time. Conclusions: In older ischemic stroke survivors, home-time post discharge varies by hospital annual stroke volume, severity of case-mix, and region. In adjusted analyses, annual ischemic stroke admission volume and rural location were associated with more home-time post stroke.
Article
Geographically distinct multidisciplinary stroke care units (SCUs) have been shown by systematic reviews to have superior patient outcomes compared with conventional care in general medical wards. However, the effectiveness of SCUs in smaller North American community hospitals is less well defined. The objective of this study was to determine the impact of establishing a specialized SCU at a community hospital on patient outcomes. This is a retrospective cohort study of 805 patients with stroke admitted to 2 community hospitals in Edmonton, Canada, from 2003 to 2009 using an administrative database. Stroke was identified by International Classification of Disease, 10th Edition, codes. One of the community hospitals established a SCU on January 1, 2007. This date was used to subdivide the patient population into 2 cohorts: phase 1 from 2003 to 2006 and phase 2 from 2007 to 2009. Outcomes measured were mortality, discharge disposition, length of stay, and complications and were adjusted for age, sex, and medical comorbidities. Patient mortality decreased significantly from 17.1% to 8.3% (adjusted odds ratio [OR], 0.54; 95% confidence interval [CI], 0.31-0.95) after SCU implementation, whereas it remained ≈19% at the control hospital. SCU also increased the odds that patients would be discharged home independently (adjusted OR, 2.17; 95% CI, 1.49-3.15; P<0.001] without increasing length of stay. Establishing a SCU in a community hospital not only increases the survival of stroke patients, but also the proportion of patients discharged home to live independently. The benefits of SCU reported in larger tertiary centers extend to smaller community hospitals with more limited resources.
Article
This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials
  • M Goyal
  • B K Menon
  • W H Van Zwam
  • Dwj Dippel
  • P J Mitchell
  • A M Demchuk
Goyal M, Menon BK, van Zwam WH, Dippel DWJ, Mitchell PJ, Demchuk AM, et al. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. 2016;387:1723-31. doi:10.1016/S0140-6736(16)00163-X.
Mitglieder und Versicherte der gesetzlichen Krankenversicherung. 21.02
  • Gesundheit Bundesministerium Für
Bundesministerium für Gesundheit. Mitglieder und Versicherte der gesetzlichen Krankenversicherung. 21.02.2024. https://www.bundesgesundheitsministerium.de/themen/krankenversicherung/zahlenund-fakten-zur-krankenversicherung/mitglieder-und-versicherte/. Accessed 21 Feb 2024.
Über uns -Deutsche Schlaganfall-Gesellschaft
  • Deutsche Schlaganfall-Gesellschaft
Deutsche Schlaganfall-Gesellschaft. Über uns -Deutsche Schlaganfall-Gesellschaft. 13.09.2022. https://www.dsg-info.de/ueber-uns/. Accessed 16 Jan 2024.