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Mehl C, Müller T, Nau T, Bachmann C, Geraedts M. [Development of an indicator set for the evaluation of the quality of routine ambulatory health care for common disorders in children and adolescents]. Z Evid Fortbild Qual Gesundhwes 2024:S1865-9217(24)00049-7. [PMID: 38631959 DOI: 10.1016/j.zefq.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/28/2024] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND In Germany, no consented quality indicator set (QI set) exists to date that can be used to assess the quality of pediatric care. Therefore, the aim of the project "Assessment of the quality of routine ambulatory health care for common disorders in children and adolescents" (QualiPäd) funded by the Innovation Committee of the Federal Joint Committee (grant no.: 01VSF19035) was to develop a QI set for the diseases asthma, atopic eczema, otitis media, tonsillitis, attention-deficit hyperactivity disorder (ADHD), depression and conduct disorder. METHODS For the observation period 2018/2019, quality indicators (QIs) were searched in indicator databases, guidelines and literature databases and complemented in part by newly formulated QIs (e.g., derived from guideline recommendations). The QIs were then assigned to content categories and dimensions according to Donabedian and OECD and reduced by removing duplicates. Finally, a panel of experts consulted the QIs using the modified RAND-UCLA Appropriateness Method (RAM). RESULTS The search resulted in a preliminary QI set of 2324 QIs. After the reduction steps and the evaluation of the experts, 282 QIs were included in the QI set (asthma: 72 QIs, atopic eczema: 25 QIs, otitis media: 31 QIs, tonsillitis: 12 QIs, ADHD: 53 QIs, depression: 43 QIs, conduct disorder: 46 QIs). The QIs are distributed among the following different categories: Therapy (138 QIs), Diagnostics (95 QIs), Patient-reported outcome measures/Patient-reported experience measures (PROM/PREM) (45 QIs), Practice management (31 QIs), and Health reporting (4 QIs). In the Donabedian model, 89% of the QIs capture process quality, 9% outcome quality, and 2% structural quality; according to the OECD classification, 61% measure effectiveness, 23% patient-centeredness, and 16% safety of care. CONCLUSION The consented QI set is currently being tested and can subsequently be used (possibly modified) to measure the quality of routine outpatient care for children and adolescents in Germany, in order to indicate the status quo and potential areas for improvement in outpatient care.
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Affiliation(s)
- Claudia Mehl
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland.
| | - Teresa Müller
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
| | - Thorsten Nau
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
| | - Christian Bachmann
- Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Max Geraedts
- Institut für Versorgungsforschung und Klinische Epidemiologie, Fachbereich Medizin der Philipps-Universität Marburg, Marburg, Deutschland
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Müller T, Mehl C, Nau T, Bachmann C, Geraedts M. Process over outcome quality in paediatrics? An analysis of outpatient healthcare quality indicators for seven common diseases. BMJ Open Qual 2023; 12:bmjoq-2022-002125. [PMID: 36801819 PMCID: PMC9944293 DOI: 10.1136/bmjoq-2022-002125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/05/2023] [Indexed: 02/19/2023] Open
Abstract
PURPOSE The purpose of this study was to examine the scope, quality dimensions and treatment aspects covered by existing quality indicators (QIs) for the somatic diseases bronchial asthma, atopic eczema, otitis media and tonsillitis as well as the psychiatric disorders attention deficit hyperactivity disorder (ADHD), depression and conduct disorder in paediatrics. METHODS QIs were identified through an analysis of the guidelines and a systematic search of literature and indicator databases. Subsequently, two researchers independently assigned the QIs to the quality dimensions according to Donabedian and Organisation for Economic Cooperation and Development (OECD) and to the content categories covering the treatment process. RESULTS We found 1268 QIs for bronchial asthma, 335 QIs for depression, 199 QIs for ADHD, 115 QIs for otitis media, 72 QIs for conduct disorder, 52 QIs for tonsillitis and 50 QIs for atopic eczema. Of these, 78% focused on process quality, 20% on outcome quality and 2% on structural quality. Using OECD criteria, 72% of the QIs were assigned to effectiveness, 17% to patient-centredness, 11% to patient safety and 1% to efficiency. The QIs covered the following categories: diagnostics (30%), therapy (38%), patient-reported outcome measures/ observer-reported outcome measures/patient-reported experience measures (in sum 11%), health monitoring (11%) and office management (11%). CONCLUSION Most QIs focused on the dimensions of effectiveness and process quality, and on the categories of diagnostics and therapy, with outcome-focused and patient-focused QIs being under-represented. Possible reasons for this striking imbalance could be the easier measurability and clearer assignment of accountability in comparison to the QIs of outcome quality, patient-centredness and patient safety. To produce a more balanced picture of the quality of healthcare, the future development of QIs should prioritise the currently under-represented dimensions.
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Affiliation(s)
- Teresa Müller
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Thorsten Nau
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Christian Bachmann
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
| | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
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Stelzer D, Graf E, Köster I, Ihle P, Günster C, Dröge P, Klöss A, Mehl C, Farin-Glattacker E, Geraedts M, Schubert I, Siegel A, Vach W. Correction to: Assessing the effect of a regional integrated care model over ten years using quality indicators based on claims data - the basic statistical methodology of the INTEGRAL project. BMC Health Serv Res 2022; 22:482. [PMID: 35410208 PMCID: PMC9003996 DOI: 10.1186/s12913-022-07881-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Dominikus Stelzer
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
| | - Erika Graf
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Ingrid Köster
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Peter Ihle
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Christian Günster
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Patrik Dröge
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Andreas Klöss
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Erik Farin-Glattacker
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Ingrid Schubert
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Achim Siegel
- Institute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Tübingen, Germany
| | - Werner Vach
- Basel Academy for Quality and Research in Medicine, Basel, Switzerland
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Stelzer D, Graf E, Köster I, Ihle P, Günster C, Dröge P, Klöss A, Mehl C, Farin-Glattacker E, Geraedts M, Schubert I, Siegel A, Vach W. Assessing the effect of a regional integrated care model over ten years using quality indicators based on claims data - the basic statistical methodology of the INTEGRAL project. BMC Health Serv Res 2022; 22:247. [PMID: 35197048 PMCID: PMC8867633 DOI: 10.1186/s12913-022-07573-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 02/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The regional integrated health care model "Healthy Kinzigtal" started in 2006 with the goal of optimizing health care and economic efficiency. The INTEGRAL project aimed at evaluating the effect of this model on the quality of care over the first 10 years. METHODS This methodological protocol supplements the study protocol and the main publication of the project. Comparing quality indicators based on claims data between the intervention region and 13 structurally similar control regions constitutes the basic scientific approach. Methodological key issues in performing such a comparison are identified and solutions are presented. RESULTS A key step in the analysis is the assessment of a potential trend in prevalence for a single quality indicator over time in the intervention region compared to the corresponding trends in the control regions. This step has to take into account that there may be a common - not necessarily linear - trend in the indicator over time and that trends can also appear by chance. Conceptual and statistical approaches were developed to handle this key step and to assess in addition the overall evidence for an intervention effect across all indicators. The methodology can be extended in several directions of interest. CONCLUSIONS We believe that our approach can handle the major statistical challenges: population differences are addressed by standardization; we offer transparency with respect to the derivation of the key figures; global time trends and structural changes do not invalidate the analyses; the regional variation in time trends is taken into account. Overall, the project demanded substantial efforts to ensure adequateness, validity and transparency.
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Affiliation(s)
- Dominikus Stelzer
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
| | - Erika Graf
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Ingrid Köster
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Peter Ihle
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Christian Günster
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Patrik Dröge
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Andreas Klöss
- Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Erik Farin-Glattacker
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Ingrid Schubert
- PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany
| | - Achim Siegel
- Institute of Occupational and Social Medicine and Health Services Research, University of Tübingen, Tübingen, Germany
| | - Werner Vach
- Basel Academy for Quality and Research in Medicine, Basel, Switzerland
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Köster I, Mehl C, Siegel A, Graf E, Stelzer D, Farin-Glattacker E, Geraedts M, Schubert I. [Correction: Operationalization of Quality Indicators with Routine Data Using the Example of the Evaluation of "Integrated Care Healthy Kinzigtal"]. Gesundheitswesen 2021; 83:e58. [PMID: 34879395 DOI: 10.1055/a-1701-7037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Ingrid Köster
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Claudia Mehl
- Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Achim Siegel
- Institut für Arbeitsmedizin, Sozialmedizin und Versorgungsforschung, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - Erika Graf
- Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Dominikus Stelzer
- Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Erik Farin-Glattacker
- Universitätsklinikum Freiburg, Institut für Medizinische Biometrie und Statistik, Sektion Versorgungsforschung und Rehabilitationsforschung, Freiburg, Deutschland
| | - Max Geraedts
- Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Ingrid Schubert
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
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Tischlik V, Mehl C, Ewald D, Heinzel-Gutenbrunner M, Geraedts M, Bachmann CJ. Assessment of the quality of routine ambulatory healthcare for common disorders in children and adolescents in Germany: study protocol for a retrospective medical record review (QualiPäd). BMJ Open 2021; 11:e048782. [PMID: 34815275 PMCID: PMC8611448 DOI: 10.1136/bmjopen-2021-048782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION The quality of healthcare in childhood and adolescence is of key importance, in order to foster a healthy development and to avoid chronic health problems. Yet, data for Germany regarding the quality of healthcare for this patient group are lacking. The QualiPäd research project aims to estimate the quality of outpatient healthcare for children and adolescents in Germany, focusing on common psychiatric and physical disorders. METHODS AND ANALYSIS Quality indicators for seven common physical and mental childhood and adolescent clinical conditions (attention deficit/hyperactivity disorder, asthma, atopic dermatitis, depression, otitis media, conduct disorder/oppositional defiant disorder, tonsillitis) will be developed and ratified by experts, using the RAND/UCLA Appropriateness Method.Initially, 1400 medical records of children and adolescents with one of the aforementioned clinical conditions will then be randomly drawn from 40 outpatient practices in the German federal state of Hessen. The records will then be assessed regarding their adherence to the respective quality indicators. Based on this, the percentage of appropriate and inappropriate (eg, wasteful) healthcare of all clinical conditions (primary endpoint) will be estimated. Additionally, possible factors influencing the quality of care (eg, patient characteristics, type of condition, type of practice) will be identified using generalised estimation equation models. ETHICS AND DISSEMINATION This study will show for which of the studied clinical conditions and/or patients improvement of quality of care is necessary within the German health system. Also, the quality indicators designed for the study can afterwards be implemented in regular care and thus enable regular reporting of the outpatient care of this target group. The authors plan to disseminate their findings through international, peer-reviewed scientific publications, and through presentations at national and international paediatric and child psychiatric conferences. TRIAL REGISTRATION NUMBER DRKS00022408.
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Affiliation(s)
- Viktor Tischlik
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | | | | | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany
| | - Christian J Bachmann
- Department of Child and Adolescent Psychiatry, Universitätsklinikum Ulm, Ulm, Germany
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Köster I, Mehl C, Siegel A, Graf E, Stelzer D, Farin-Glattacker E, Geraedts M, Schubert I. [Operationalization of Quality Indicators with Routine Data Using the Example of the Evaluation of "Integrated Care Healthy Kinzigtal"]. Gesundheitswesen 2021; 83:S87-S96. [PMID: 34758505 DOI: 10.1055/a-1585-1735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AIM As part of the 10-year evaluation of Gesundes Kinzigtal Integrated Care (IVGK, Innovation Fund Project 01VSF16002), a multidisciplinary group of experts agreed on 101 quality indicators (QI) to evaluate the quality of regionally integrated care with its focus on health and prevention programs. One criterion was that the selected QI should in principle be suitable for mapping using routine data. The aim of the study was to investigate how many and in what way the QI developed can actually be mapped in Germany with routine data and for what reasons operationalization was restricted or not possible. MATERIAL AND METHODS The operationalization of the QIs was performed using pseudonymized billing data of the AOK Baden-Württemberg from 2006 to 2015, which the Scientific Institute of the AOK (WIdO) provided to the evaluation team. All operationalized indicators were binary coded (criterion fulfilled yes/no). The diagnoses, procedures, or drugs named in the numerator and denominator definitions were operationalized using ICD-10 codes (inclusion and exclusion diagnoses), EBM codes, OPS codes, ATC codes. Indicator prevalences were examined over time to check for abnormalities as an indication of possible misscoding. RESULTS Ninety of the 101 indicators were operationalizable with routine data. Fourteen of the 90 indicators could only be operationalized with restrictions, as corresponding service codes were only introduced or existing codes were changed during the observation period. Seventy-six of 90 indicators could be operationalized without restrictions. In this context, 15 of these 76 indicators required pre- and follow-up periods, which meant that they could not be presented for all years. Eleven of 101 QIs could not be operationalized because EBM codes were only introduced after 2015 or were not recorded as individual services for all physician groups (e. g., spirometry and long-term ECG). Striking trends in indicator prevalences could be explained. CONCLUSION Routine data enable resource-saving quality monitoring. A change in the data basis during the observation period, for example through the introduction or deletion of billing codes, makes the longitudinal, routine data-based quality assessment more difficult, but enables further or new indicators to be operationalized for later periods.
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Affiliation(s)
- Ingrid Köster
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Claudia Mehl
- Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Achim Siegel
- Institut für Arbeitsmedizin, Sozialmedizin und Versorgungsforschung, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - Erika Graf
- Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Dominikus Stelzer
- Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Erik Farin-Glattacker
- Universitätsklinikum Freiburg, Institut für Medizinische Biometrie und Statistik, Sektion Versorgungsforschung und Rehabilitationsforschung, Freiburg, Deutschland
| | - Max Geraedts
- Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg, Deutschland
| | - Ingrid Schubert
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
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Schubert I, Stelzer D, Siegel A, Köster I, Mehl C, Ihle P, Günster C, Dröge P, Klöss A, Farin-Glattacker E, Graf E, Geraedts M. Ten-Year Evaluation of the Population-Based Integrated Health Care System "Gesundes Kinzigtal". Dtsch Arztebl Int 2021; 118:465-472. [PMID: 33867008 PMCID: PMC8456442 DOI: 10.3238/arztebl.m2021.0163] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 10/15/2020] [Accepted: 02/22/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND The population-based integrated health care system called "Gesundes Kinzigtal" (Integrierte Versorgung Gesundes Kinzigtal, IVGK) was initiated more than 10 years ago in the Kinzig River Valley region, which is located in the Black Forest in the German state of Baden-Württemberg. IVGK is intended to optimize health care while maximizing cost-effectiveness. It consists of programs for promoting health and for enabling cooperation among service providers, as well as of a shared-savings contract that has enabled resources to be saved every year. The goal of the present study was to investigate trends in the quality of care provided by IVGK over the past ten years in comparison to conventional care. METHODS This is a non-randomized observational study with a control-group design (Kinzig River Valley versus 13 structurally comparable control regions), employing data collected by AOK, a large statutory health-insurance provider in Germany, over the period 2006-2015. Quality assessment was conducted with the aid of a set of indicators, developed by the authors, that was based exclusively on claims data. The statistical analysis of the trends in these indicators over time was conducted with preset criteria for the relevance of any observed changes, as well as preset mechanisms of controlling for confounding factors. RESULTS For 88 of the 101 evaluable indicators, no relevant difference was seen between the trend over time in the region of the intervention and the average trend in the control regions. Relevant differences in favor of the IVGK were observed for six indicators, and negatively divergent trends compared to the controls were observed for seven indicators. In the main summarizing statistical analysis, no positive or negative difference was found between the Kinzig River Valley and the other regions with respect to trends in the health-care indicators over time. CONCLUSION An evaluation based on 101 indicators derived from health-insurance data did not reveal any improvement of the quality of care by IVGK and the totality of the programs that were implemented under it. However, under the conditions of the shared-savings contract, no relevant diminution in the quality of care was observed over a period of 10 years either, compared with structurally similar control regions without an integrated care model.
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Affiliation(s)
- Ingrid Schubert
- *These two authors share first authorship
- PMV research group at the Department of Psychiatry and Psychotherapy for Children and Young Adults, Faculty of Medicine and University Hospital Cologne
| | - Dominikus Stelzer
- *These two authors share first authorship
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg
| | - Achim Siegel
- Institute for Occupational and Social Medicine and Health Services Research, University of Tübingen
| | - Ingrid Köster
- PMV research group at the Department of Psychiatry and Psychotherapy for Children and Young Adults, Faculty of Medicine and University Hospital Cologne
| | - Claudia Mehl
- Institute for Health Services Research and Clinical Epidemiology (IVE), Philipps-Universität Marburg
| | - Peter Ihle
- PMV research group at the Department of Psychiatry and Psychotherapy for Children and Young Adults, Faculty of Medicine and University Hospital Cologne
| | | | | | | | - Erik Farin-Glattacker
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research (SEVERA), Faculty of Medicine and Medical Center, University of Freiburg
| | - Erika Graf
- *These two authors share last authorship
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg
| | - Max Geraedts
- *These two authors share last authorship
- Institute for Health Services Research and Clinical Epidemiology (IVE), Philipps-Universität Marburg
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Assheuer M, Beine K, Mehl C, Kellner M, Agelink M, Sieberer M, de Cruppé W, Geraedts M. Umsetzung von Behandlungskontinuität im Versorgungsalltag – ein Vergleich zwischen zwei psychiatrischen Kliniken
1. Psychiatr Prax 2020; 48:143-148. [DOI: 10.1055/a-1274-3792] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Zusammenfassung
Ziel der Studie Die starre Trennung von ambulanter und stationärer Versorgung im deutschen Gesundheitssystem verhindert eine Behandlungskontinuität, obwohl sie sich für psychiatrische Patienten als sehr wichtig erwiesen hat. Die vorliegende Studie analysiert die Behandlungskontinuität einer Modellklinik mit einem Gesamtbudget nach § 64b SGB V und konstantem Behandlungspersonal über alle Settings hinweg im Vergleich zu einer Kontrollklinik mit Regelfinanzierung ohne ein solches Team.
Methodik In einer prospektiven Kohortenstudie mit einem Beobachtungszeitraum von 20 Monaten wurden Daten zur Behandlungskontinuität von 220 Patienten der Modellklinik und 215 Patienten der Kontrollklinik erhoben.
Ergebnisse Die Modellklinik erreichte eine signifikant höhere Behandlungskontinuität als die Kontrollklinik, sowohl während der stationären Behandlung zum Zeitpunkt der Rekrutierung als auch in allen Settings während des Beobachtungszeitraums.
Schlussfolgerung Ein Gesamtbudget kann die notwendigen Voraussetzungen für eine flexiblere psychiatrische Versorgung und eine bessere Umsetzung der Behandlungskontinuität schaffen.
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Affiliation(s)
- Michaela Assheuer
- Private Universität Witten/Herdecke, Institut für Gesundheitssystemforschung
- Philipps-Universität Marburg, Institut für Versorgungsforschung und Klinische Epidemiologie
| | - Karl Beine
- Private Universität Witten/Herdecke, Lehrstuhl für Psychiatrie und Psychotherapie
- St. Marien-Hospital Hamm, Klinik für Psychiatrie, Psychotherapie und Psychosomatik
| | - Claudia Mehl
- Philipps-Universität Marburg, Institut für Versorgungsforschung und Klinische Epidemiologie
| | - Michael Kellner
- Klinikum Herford, Klinik für Psychiatrie, Psychotherapie und Psychosomatik
| | - Marcus Agelink
- Klinikum Herford, Klinik für Psychiatrie, Psychotherapie und Psychosomatik
- LWL Universitätsklinikum für Psychiatrie, Psychotherapie und Präventivmedizin der Ruhruniversität Bochum
| | - Marcel Sieberer
- Private Universität Witten/Herdecke, Lehrstuhl für Psychiatrie und Psychotherapie
- St. Marien-Hospital Hamm, Klinik für Psychiatrie, Psychotherapie und Psychosomatik
| | - Werner de Cruppé
- Philipps-Universität Marburg, Institut für Versorgungsforschung und Klinische Epidemiologie
| | - Max Geraedts
- Private Universität Witten/Herdecke, Institut für Gesundheitssystemforschung
- Philipps-Universität Marburg, Institut für Versorgungsforschung und Klinische Epidemiologie
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Geraedts M, Mehl C, Schmitz J, Siegel A, Graf E, Stelzer D, Farin-Glattacker E, Ihle P, Köster I, Dröge P, Günster C, Haas N, Gröne O, Schubert I. [Development of an indicator set for the evaluation of the population-based integrated healthcare model 'Gesundes Kinzigtal' (Healthy Kinzigtal)]. Z Evid Fortbild Qual Gesundhwes 2020; 150-152:54-64. [PMID: 32467041 DOI: 10.1016/j.zefq.2020.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 04/03/2020] [Accepted: 04/03/2020] [Indexed: 10/24/2022]
Abstract
INTRODUCTION The project "INTEGRAL-10-year evaluation of the population-based integrated health care model 'Gesundes Kinzigtal' (Healthy Kinzigtal)" (ICM-GK) is funded by the Innovation Committee of the Federal Joint Committee (G-BA) (grant no. 01VSF16002). The evaluation is to be based on a set of indicators that can be captured in routine data. On the one hand, they can be used to assess ICM-GK programs that are program-specific and geared towards prevention and disease management. On the other hand, possible negative side effects of the ICM-GK, which is designed as a "shared savings contract", are to be examined by also observing care needs not covered by the ICM-GK contract. Since an indicator set for the evaluation of regional integrated care (IC) programs in Germany is not yet available, a suitable indicator set should be developed. METHODS RESULTS: The methodological framework links the OECD concept for quality assessment of health systems with Kessner's tracer methodology. Disease groups with a high prevalence ("common diseases"), prevention potential and potential for improvement through IC were selected as tracers. The literature search resulted in 239 QIs and the QI database search in 293 QIs, which were supplemented by 21 QIs from the focus groups. Out of a total of 553 QIs, 251 QIs remained after removal of duplicates and comparison with the data basis. This preliminary QI set was reduced to 101 QIs by consensus. In addition, 48 health reporting indicators were supplemented which serve to classify regional quality results. The final QI set maps the following 19 disease categories/tracers: heart failure (16 QIs), myocardial infarction (4 QIs), CHD (10 QIs), stroke (6 QIs), metabolic syndrome (7 QIs of which 5 were diabetes-related), COPD (6 QIs), asthma (3 QIs), chronic pain (5 QIs), back pain (3 QIs), geriatrics (7 QIs), dementia (8 QIs), osteoporosis (3 QIs), rheumatism (3 QIs), multiple sclerosis (2 QIs), depression (4 QIs), antibiotic therapy (3 QIs), drug safety (1 QI), child care (5 QIs), early detection/prevention (5 QIs). 33 of these QIs are dedicated to five tracers that are not explicitly ICM-GK programs. Most QIs assess aspects of the effectiveness of care for the chronically ill and measure process quality. DISCUSSION The set of indicators initially enables the quality assessment of regional, cross-indication care quality in the population-based integrated health care model 'Gesundes Kinzigtal' on the basis of routine data. Although the QI set focuses on effectiveness and process quality, it also includes QIs for preventive and acute care, coordination of care, patient orientation and safety, and outcomes. In contrast to other QI sets, both primary care and specialist health care and integrated, cross-sectoral and cross-professional care aspects have been considered. The benefits of the QI set for comparisons of regional quality and the evaluation of different IC programs remain to be tested. CONCLUSION On the basis of a broadly based research and participatory development process, a set of indicators has been developed that enables comprehensive evaluation of the regional quality of care of cross-indication, integrated care models focusing on common diseases. In order to be able to increasingly evaluate aspects of care coordination and patient orientation, health promotion as well as nursing, palliative and emergency care in the future, it would be helpful if routine data were collected or made accessible in these areas as well.
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Affiliation(s)
- Max Geraedts
- Fachbereich Medizin, Philipps-Universität Marburg, Marburg, Deutschland.
| | - Claudia Mehl
- Fachbereich Medizin, Philipps-Universität Marburg, Marburg, Deutschland
| | - Jutta Schmitz
- Fachbereich Medizin, Philipps-Universität Marburg, Marburg, Deutschland
| | - Achim Siegel
- Universitätsklinikum Tübingen, Universität Tübingen, Tübingen, Deutschland
| | - Erika Graf
- Medizinische Fakultät, Universität Freiburg, Freiburg, Deutschland
| | | | | | - Peter Ihle
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Ingrid Köster
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Patrik Dröge
- Wissenschaftliches Institut der Ortskrankenkassen, Berlin, Deutschland
| | - Christian Günster
- Wissenschaftliches Institut der Ortskrankenkassen, Berlin, Deutschland
| | | | - Oliver Gröne
- OptiMedis AG & London School of Hygiene and Tropical Medicine, London, Großbritannien
| | - Ingrid Schubert
- PMV forschungsgruppe an der Medizinischen Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
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Schubert I, Siegel A, Graf E, Farin-Glattacker E, Ihle P, Köster I, Stelzer D, Mehl C, Schmitz J, Dröge P, Günster C, Klöss A, Vach W, Geraedts M. Study protocol for a quasi-experimental claims-based study evaluating 10-year results of the population-based integrated healthcare model 'Gesundes Kinzigtal' (Healthy Kinzigtal): the INTEGRAL study. BMJ Open 2019; 9:e025945. [PMID: 30782755 PMCID: PMC6340628 DOI: 10.1136/bmjopen-2018-025945] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 10/15/2018] [Accepted: 10/17/2018] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Patients often experience interface problems when treated by different specialists and in different healthcare sectors. Integrated care concepts aim to reduce these problems. While most integrated healthcare models focus on individual diseases, the integrated care model 'Gesundes Kinzigtal' applies a population-based approach and addresses the full spectrum of morbidities for a population defined by area of residence-the Kinzigtal. A special feature of the model is the joint savings contract between the regional management company and the statutory health insurers. The INTEGRAL study aims at assessing the effectiveness of 'Gesundes Kinzigtal' under routine conditions in comparison to conventional care over a period of 10 years in order to understand the benefits but also the potential for (unintended) harms. METHODS AND ANALYSIS: Database Claims data from statutory health insurance funds 2005-2015. The evaluation consists of a quasi-experimental study, with Kinzigtal as intervention region, at least 10 further regions with a similar population and healthcare infrastructure as primary controls and an additional random sample of insurees from the federal state of Baden-Württemberg as secondary controls. Model-specific and 'non-specific' indicators adopted from the literature and enriched by focus group interviews will be used to evaluate the model's effectiveness and potential unintended consequences by analysing healthcare utilisation in general. Temporal trends per indicator in the intervention region will be compared with those in each control region. The overall variation in trends for the indicators across all regions provides information about the potential to modify an indicator due to local differences in the healthcare system. ETHICS AND DISSEMINATION Ethic Commission of the Faculty of Medicine, Philipps-University Marburg (ek_mr_geraedts_131117). Results will be discussed in workshops, submitted for publication in peer-review journals and presented at conferences. TRIAL REGISTRATION NUMBER DRKS00012804.
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Affiliation(s)
- Ingrid Schubert
- PMV Research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Cologne, Germany
| | - Achim Siegel
- Institute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Tübingen, Germany
| | - Erika Graf
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Erik Farin-Glattacker
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Peter Ihle
- PMV Research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Cologne, Germany
| | - Ingrid Köster
- PMV Research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Cologne, Germany
| | - Dominikus Stelzer
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Claudia Mehl
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Jutta Schmitz
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
| | - Patrik Dröge
- Health Services and Quality Research, AOK Research Institute (WIdO), Berlin, Germany
| | - Christian Günster
- Health Services and Quality Research, AOK Research Institute (WIdO), Berlin, Germany
| | - Andreas Klöss
- Health Services and Quality Research, AOK Research Institute (WIdO), Berlin, Germany
| | - Werner Vach
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Max Geraedts
- Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany
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Chou B, Choe J, Park H, Mehl C, Bentley E, Jones G. Linear Accelerator-Based Frameless Stereotactic Radiosurgery for Trigeminal Neuralgia with Optical Surface Monitoring: A Community Cancer Center Experience. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Tominschek I, Schiepek G, Mehl C, Maier K, Heinzel S, Bauhofer C, Berbic B, Zaudig M. Real-Time-Monitoring in der Behandlung von Zwangsstörungen: Technologie und Fallbeispiel. Verhaltenstherapie 2008. [DOI: 10.1159/000151258] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Moosig F, Czech N, Mehl C, Henze E, Zeuner RA, Kneba M, Schröder JO. Correlation between 18-fluorodeoxyglucose accumulation in large vessels and serological markers of inflammation in polymyalgia rheumatica: a quantitative PET study. Ann Rheum Dis 2004; 63:870-3. [PMID: 15194587 PMCID: PMC1755055 DOI: 10.1136/ard.2003.011692] [Citation(s) in RCA: 87] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To quantify 18-fluorodeoxyglucose (FDG) accumulation in large vessels in patients with polymyalgia rheumatica by positron emission tomography (PET), and to compare these data with serological markers of inflammation. METHODS 13 untreated patients with active polymyalgia rheumatica underwent FDG positron emission tomography; eight were analysed in a second PET when in clinical remission. Six patients with other highly inflammatory conditions served as controls. For quantitative analysis, FDG uptake over nine defined vascular regions, divided by an individual background value, was expressed as a region of interest (ROI) index. These data were compared with the clinical status of the patient and with erythrocyte sedimentation rate (ESR), C reactive protein, haemoglobin, and platelet and leucocyte counts. RESULTS By visual evaluation, 12 of the 13 patients showed an increased tracer uptake of the aorta or its major branches. By quantitative analysis, FDG uptake was significantly increased in polymyalgia rheumatica. In patients with active disease, the mean ROI index for all vascular regions exceeded that of controls by 70% (mean (SD): 1.58 (0.37) v 0.93 (0.12); p<0.001). In the eight patients who underwent follow up PET, the index declined substantially. In active polymyalgia rheumatica, FDG uptake was significantly correlated with C reactive protein (r = 0.8), ESR (r = 0.79), and platelet counts (r = 0.68). CONCLUSIONS The observed FDG accumulation in the aorta and its branches and a strong correlation between tracer uptake and markers of inflammation is suggestive of large vessel arteritis. Quantitative ROI analysis appears to be a sensitive tool for detecting such inflammation.
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Affiliation(s)
- F Moosig
- 2nd Medical Department, University Hospital of Schleswig-Holstein, Campus Kiel, Chemnitzstr 33, 24116 Kiel, Germany.
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Pfistner B, Mehl C, Klöss M, Löffler M, Herrmann-Frank A, Diehl V. [Quality standards and their assurance for study centers in the competence network malignant lymphoma]. Klin Padiatr 2003; 215:341-4. [PMID: 14677100 DOI: 10.1055/s-2003-45493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND The aim of most of the trials of the Competence Network Malignant Lymphoma is to optimize the standard treatment of lymphoma using only registered drugs in the case of medicinal therapies (quality assurance protocols). In contrast to regulatory trials, special regulations for quality assurance protocols are not given by the legislature. However, there is agreement that also for this type of studies the declaration of Helsinki and the Guidelines of the International Conference on Harmonisation (ICH) are relevant. The ICH Guidelines must be formulated to take into account the specific situation of quality assurance protocols and to ensure at the same time efficiency and transparency of these studies. This is the aim of the quality management of the study groups in the Competence Network Malignant Lymphoma. METHOD The quality assurance measures already established in the study groups are being expanded to a comprehensive quality management concept in agreement with the ICH Guidelines and allowing for the situation of quality assurance protocols. To this end, a working group for quality management (AG-QM) has been set up to define and establish general quality standards for all aspects of planning, executing and evaluating quality assurance protocols in study centers. RESULTS The AG-QM has developed a system of Standard Operating Procedures (SOPs) reflecting all working procedures of the study centers. Furthermore, evaluation parameters for the quality of trial execution have been identified and the harmonisation of documentation parameters has been initiated. Term definitions are collected and their harmonisation coordinated. CONCLUSIONS Development of quality standards is the first step of quality management. To ensure the realisation of these standards in practice, the AG-QM will establish quality assurance measures including continuous reevaluation of quality criteria and actualization of quality standards if necessary.
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Affiliation(s)
- B Pfistner
- Studienzentrale der DHSG, Koordinierungszentrum für Klinische Studien Köln (KKSK), Klinikum der Universität zu Köln, Germany.
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Kim ZG, Mehl C, Lorenz M, Gutt CN. Impact of laparoscopic CO2-insufflation on tumor-associated molecules in cultured colorectal cancer cells. Surg Endosc 2002; 16:1182-6. [PMID: 12189480 DOI: 10.1007/s00464-001-9194-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2001] [Accepted: 11/26/2001] [Indexed: 10/27/2022]
Abstract
BACKGROUND Laparoscopic CO2-insufflation is believed to stimulate proliferation and metastatic potential of gastrointestinal carcinomas. E-cadherin, I-CAM1, I-CAM2, and CD44 are involved into the metastatic process of different cancer cell lines. The current study investigates the influence of CO2-insufflation on the expression of E-cadherin, I-CAM1, I-CAM2, and CD44 in vitro. METHODS CX-2 and CC531 colon carcinoma cells (human/rat) were exposed to pneumoperitoneal CO2-insufflation. E-cadherin, I-CAM1, I-CAM2, and CD44 were measured 0, 12, 24, 48, and 72 h after CO2-insufflation using flowcytometry. Control groups were exposed to room air. Data were analyzed by the Wilcoxon-Mann-Whitney U-test. RESULTS Both cell lines showed significant alteration in E-cadherin, I-CAM1, and CD44 expression after CO2 exposure (p <0.05). No significant differences were found regarding I-CAM2 expression. CONCLUSION The present study demonstrates CO2-insufflation to influence the expression of E-cadherin, I-CAM1 and CD44. Whether these changes increases the metastatic potential of colorectal cancer cells in vivo needs further investigation.
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Affiliation(s)
- Z G Kim
- Department of General and Vascular Surgery, Johann Wolfgang Goethe-University, Theodor-Stern-Kai 7, D-60590 Frankfurt/Main, Germany
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Deichmann KA, Heinzmann A, Forster J, Dischinger S, Mehl C, Brueggenolte E, Hildebrandt F, Moseler M, Kuehr J. Linkage and allelic association of atopy and markers flanking the IL4-receptor gene. Clin Exp Allergy 1998; 28:151-5. [PMID: 9515586 DOI: 10.1046/j.1365-2222.1998.00159.x] [Citation(s) in RCA: 113] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Atopy, a clinical syndrome characterized by heightened IgE responsiveness, is largely determined by genetic factors. The disease may well be heterogeneous but the mode of inheritance is unknown. Several genes have been named which affected IgE responsiveness. However, results are conflicting reflecting heterogeneity and a complicated inheritance pattern of the atopic syndrome. In 1994 linkage of the 5q32 gene region and elevated total IgE levels were reported, leaving the IL4 gene as a prominent candidate. OBJECTIVES We were interested in a possible involvement of the IL4-receptor gene in the development of atopy. METHODS We employed sib-pair linkage analysis using highly polymorphic microsatellite markers within and flanking the IL4 receptor gene in atopic families, characterized for specific sensitization to inhalant allergens and elevated total serum IgE. Allele sizes were determined for all microsatellite probes to allow transmission disequilibrium analysis. RESULTS We found significant sharing of maternal but not paternal alleles in affected sibs from two independent populations, both of which presented enhanced IgE responsiveness. Linkage and maternal inheritance could be confirmed by transmission disequilibrium analysis. CONCLUSIONS We conclude from our findings that maternal inheritance of a gene in the chromosome 16p12 region increases the risk for enhanced IgE responsiveness. The most prominent candidate in this region is represented by the IL4 receptor gene.
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Affiliation(s)
- K A Deichmann
- University Children's Hospital, University of Freiburg, Germany
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Schoeffler P, Haberber JP, Concina D, Mehl C, Fornecker ML. [A complication of anesthesia via interscalene block of the brachial plexus: peridural cervico-thoracic anesthesia]. Anesth Analg (Paris) 1978; 35:199-204. [PMID: 677498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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