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Hofmann AL, Widmann J, Brandstetter L, Selig U, Haug F, Haug J, Pryss R, Mecklenburg J, Kreichgauer A, Capetian P, Hartmann CJ, Niklas C, Ritter P, Krause P, Schnitzler A, Volkmann J, Kühn AA, Heuschmann P, Haas K. Development and application of a clinical core data set for deep brain stimulation in Parkinson's disease, dystonia or tremor: from data collection to data exchange and data sharing. Neurol Res Pract 2025; 7:5. [PMID: 39881414 PMCID: PMC11780920 DOI: 10.1186/s42466-024-00362-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 11/28/2024] [Indexed: 01/31/2025] Open
Abstract
BACKGROUND Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches. METHODS The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study. To ensure high data quality, measures for standardized training, monitoring as well as plausibility and data quality tests were implemented. RESULTS The clinical core data set comprises information about medical history, clinical symptoms, information about deep brain stimulation surgery, complications and outcome for the main neurological movement disorders Parkinson's disease, tremor, and dystonia. Its applicability as well as data exchange and quality control was tested within the first phase of the study in 51 patients from Würzburg. CONCLUSIONS Within the ReTune project, a standardised clinical core data set for Parkinson's disease, dystonia and tremor was developed. The collection as well as concepts for the implementation of monitoring and data exchange were elaborated and successfully tested. Trial registration number ClinicalTrials.gov (DRKS-ID: DRKS00031878).
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Affiliation(s)
- Anna-Lena Hofmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany.
| | - Jonas Widmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Lilly Brandstetter
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Udo Selig
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Fabian Haug
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Julian Haug
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Rüdiger Pryss
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Jasper Mecklenburg
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea Kreichgauer
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Philipp Capetian
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Christian J Hartmann
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Niklas
- Institute for Medical Informatics, University Hospital Heidelberg, Heidelberg, Germany
| | - Petra Ritter
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Neurology With Experimental Neurology, Brain Simulation Section, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Bernstein Focus State Dependencies of Learning and Bernstein Center for Computational Neuroscience, Berlin, Germany
- Einstein Center for Neuroscience Berlin, Einstein Center Digital Future, Berlin, Germany
| | - Patricia Krause
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Andrea A Kühn
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Heuschmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - Kirsten Haas
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
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Schutzmeier M, Brandstetter LS, Stangl S, Ahnert J, Grau A, Gerken L, Klingshirn H, Reuschenbach B, Skazel T, Kippnich M, Wurmb T, Heuschmann P, Haas K. Development and pilot-testing of an evidence-based quality indicator set for home mechanical ventilation care: the OVER-BEAS project. BMC Health Serv Res 2024; 24:152. [PMID: 38291412 PMCID: PMC10829274 DOI: 10.1186/s12913-024-10583-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 01/09/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND The number of patients depending on home mechanical ventilation (HMV) has increased substantially in Germany in recent years. These patients receive long-term care in different nursing facilities (nursing home, shared living community, private home). However, there are limited data available on the quality of care of HMV patients. The aim of the OVER-BEAS project was to identify quality indicators (QIs) of HMV care using an evidence-based approach. METHODS A multidisciplinary board consisting of professionals and experts of HMV provision compiled a set of QIs between March and September 2019. In a structured, transparent process a set of QIs covering structures, processes and outcome of HMV patient's care were proposed and evaluated based on the best available evidence. QIs were defined as relevant, reliable and valid measurements of the quality of HMV care and furthermore to be comprehensive and applicable in practice. RESULTS The experts proposed 40 QIs and consented a final set of 26 QIs. Based on the final set, questionnaires to document the QIs were developed: (1) to assess the quality and describe the structure of the nursing facility; and (2) to gather information on patient-related processes and outcomes. The feasibility of the questionnaires was tested in 5 nursing facilities treating HMV patients. The remarks from the nursing specialists were categorised in three groups: (1) term missing accuracy, (2) problem of understanding, and (3) not documented or documented elsewhere. Mean documentation time by the nursing specialists for one patient was 15 min. Based on this feedback, the questionnaires were finalised. CONCLUSIONS We proposed a set of QIs relating to long-term HMV care and developed two questionnaires to collect this information. In a pilot study, we found the set of questionnaires to be feasible in assessing the quality of HMV care according to current evidence. The development of standardised evidence-based QIs to evaluate HMV care is a step towards implementing a standardised quality assurance program to document the quality of care of HMV patients.
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Affiliation(s)
- Martha Schutzmeier
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany.
| | - Lilly Sophia Brandstetter
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
| | - Stephanie Stangl
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
| | - Jutta Ahnert
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
| | - Anna Grau
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
| | - Laura Gerken
- Catholic University of Applied Sciences Munich, Munich, Germany
| | | | | | - Tobias Skazel
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, Subsection Emergency and Disaster Relief Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Maximilian Kippnich
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, Subsection Emergency and Disaster Relief Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Wurmb
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, Subsection Emergency and Disaster Relief Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Peter Heuschmann
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
- Clinical Trial Centre Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Kirsten Haas
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany
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Olson MC, Shill H, Ponce F, Aslam S. Deep brain stimulation in PD: risk of complications, morbidity, and hospitalizations: a systematic review. Front Aging Neurosci 2023; 15:1258190. [PMID: 38046469 PMCID: PMC10690827 DOI: 10.3389/fnagi.2023.1258190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Parkinson's disease (PD) is a progressive and debilitating neurological disorder. While dopaminergic medication improves PD symptoms, continued management is complicated by continued symptom progression, increasing medication fluctuations, and medication-related dyskinesia. Deep brain stimulation (DBS) surgery is a well-accepted and widespread treatment often utilized to address these symptoms in advanced PD. However, DBS may also lead to complications requiring hospitalization. In addition, patients with PD and DBS may have specialized care needs during hospitalization. Methods This systematic review seeks to characterize the complications and risk of hospitalization following DBS surgery. Patient risk factors and modifications to DBS surgical techniques that may affect surgical risk are also discussed. Results It is found that, when candidates are carefully screened, DBS is a relatively low-risk procedure, but rate of hospitalization is somewhat increased for DBS patients. Discussion More research is needed to determine the relative influence of more advanced disease vs. DBS itself in increased rate of hospitalization, but education about DBS and PD is important to insure effective patient care within the hospital.
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Affiliation(s)
- Markey C. Olson
- Department of Neurology, Muhammad Ali Movement Disorders Clinic, Barrow Neurological Institute, St Joseph’s Hospital and Medical Center, Phoenix, AZ, United States
- Department of Neurosurgery, Barrow Brain and Spine, Barrow Neurological Institute, St Joseph’s Hospital and Medical Center, Phoenix, AZ, United States
| | - Holly Shill
- Department of Neurology, Muhammad Ali Movement Disorders Clinic, Barrow Neurological Institute, St Joseph’s Hospital and Medical Center, Phoenix, AZ, United States
| | - Francisco Ponce
- Department of Neurosurgery, Barrow Brain and Spine, Barrow Neurological Institute, St Joseph’s Hospital and Medical Center, Phoenix, AZ, United States
| | - Sana Aslam
- Department of Neurology, Muhammad Ali Movement Disorders Clinic, Barrow Neurological Institute, St Joseph’s Hospital and Medical Center, Phoenix, AZ, United States
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Fründt O, Hanff AM, Möhl A, Mai T, Kirchner C, Amouzandeh A, Buhmann C, Krüger R, Südmeyer M. Device-Aided Therapies in Parkinson's Disease-Results from the German Care4PD Study. Brain Sci 2023; 13:brainsci13050736. [PMID: 37239208 DOI: 10.3390/brainsci13050736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Data on the use of device-aided therapies (DATs) in people with Parkinson's disease (PwP) are scarce. Analyzing data from the Care4PD patient survey, we (1) evaluated application frequency and type of DAT in a larger, nationwide, cross-sectoral PwP sample in Germany; (2) analyzed the frequency of symptoms indicative for advanced PD (aPD) and need for DAT amongst the remaining patients and (3) compared the most bothersome symptoms and need for professional long-term care (LTC) of patients with and without suspected aPD. Data from 1269 PwP were analyzed. In total, 153 PwP (12%) received DAT, mainly deep brain stimulation (DBS). Of the remaining 1116 PwP without DAT, >50% fulfilled at least one aPD criterion. Akinesia/rigidity and autonomic problems were most bothersome for PwP with and without suspected aPD, with more tremor in the non-aPD and more motor fluctuations and falls in the aPD group. To recapitulate, the German DAT application rate is rather low, although a large proportion of PwP fulfills aPD criteria indicating a need for intensified treatment strategies. Many reported bothersome symptoms could be overcome with DAT with benefits even for LTC patients. Thus, precise and early identification of aPD symptoms (and therapy-resistant tremor) should be implemented in future DAT preselection tools and educational trainings.
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Affiliation(s)
- Odette Fründt
- Department of Neurology, Klinikum Ernst von Bergmann, Charlottenstraße 72, 14467 Potsdam, Germany
| | - Anne-Marie Hanff
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B, Rue Thomas Edison, L-1445 Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Belval Campus, Maison du Savoir, 2 Avenue de l'Université, L-4365 Esch-sur-Alzette, Luxembourg
- Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Postbus 5800, 6202 AZ Maastricht, The Netherlands
| | - Annika Möhl
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Tobias Mai
- Department of Nursing Development/Nursing Research, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Christiane Kirchner
- Department of Neurology, Klinikum Ernst von Bergmann, Charlottenstraße 72, 14467 Potsdam, Germany
| | - Ali Amouzandeh
- Department of Neurology, Klinikum Ernst von Bergmann, Charlottenstraße 72, 14467 Potsdam, Germany
| | - Carsten Buhmann
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B, Rue Thomas Edison, L-1445 Strassen, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, Avenue du Swing, L-4367 Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210 Luxembourg, Luxembourg
| | - Martin Südmeyer
- Department of Neurology, Klinikum Ernst von Bergmann, Charlottenstraße 72, 14467 Potsdam, Germany
- Department of Neurology, University Medical Center Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
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5
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Schang L, Blotenberg I, Boywitt D. What makes a good quality indicator set? A systematic review of criteria. Int J Qual Health Care 2021; 33:mzab107. [PMID: 34282841 PMCID: PMC8325455 DOI: 10.1093/intqhc/mzab107] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/09/2021] [Accepted: 07/19/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND While single indicators measure a specific aspect of quality (e.g. timely support during labour), users of these indicators, such as patients, providers and policy-makers, are typically interested in some broader construct (e.g. quality of maternity care) whose measurement requires a set of indicators. However, guidance on desirable properties of indicator sets is lacking. OBJECTIVE Based on the premise that a set of valid indicators does not guarantee a valid set of indicators, the aim of this review is 2-fold: First, we introduce content validity as a desirable property of indicator sets and review the extent to which studies in the peer-reviewed health care quality literature address this criterion. Second, to obtain a complete inventory of criteria, we examine what additional criteria of quality indicator sets were used so far. METHODS We searched the databases Web of Science, Medline, Cinahl and PsycInfo from inception to May 2021 and the reference lists of included studies. English- or German-language, peer-reviewed studies concerned with desirable characteristics of quality indicator sets were included. Applying qualitative content analysis, two authors independently coded the articles using a structured coding scheme and discussed conflicting codes until consensus was reached. RESULTS Of 366 studies screened, 62 were included in the review. Eighty-five per cent (53/62) of studies addressed at least one of the component criteria of content validity (content coverage, proportional representation and contamination) and 15% (9/62) addressed all component criteria. Studies used various content domains to structure the targeted construct (e.g. quality dimensions, elements of the care pathway and policy priorities), providing a framework to assess content validity. The review revealed four additional substantive criteria for indicator sets: cost of measurement (21% [13/62] of the included studies), prioritization of 'essential' indicators (21% [13/62]), avoidance of redundancy (13% [8/62]) and size of the set (15% [9/62]). Additionally, four procedural criteria were identified: stakeholder involvement (69% [43/62]), using a conceptual framework (44% [27/62]), defining the purpose of measurement (26% [16/62]) and transparency of the development process (8% [5/62]). CONCLUSION The concept of content validity and its component criteria help assessing whether conclusions based on a set of indicators are valid conclusions about the targeted construct. To develop a valid indicator set, careful definition of the targeted construct including its (sub-)domains is paramount. Developers of quality indicators should specify the purpose of measurement and consider trade-offs with other criteria for indicator sets whose application may reduce content validity (e.g. costs of measurement) in light thereof.
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Affiliation(s)
- Laura Schang
- Department of Methodology, Federal Institute for Quality Assurance and Transparency in Health Care (IQTIG), Katharina-Heinroth-Ufer 1, Berlin 10787, Germany
| | - Iris Blotenberg
- Department of Methodology, Federal Institute for Quality Assurance and Transparency in Health Care (IQTIG), Katharina-Heinroth-Ufer 1, Berlin 10787, Germany
| | - Dennis Boywitt
- Department of Methodology, Federal Institute for Quality Assurance and Transparency in Health Care (IQTIG), Katharina-Heinroth-Ufer 1, Berlin 10787, Germany
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6
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Stangl S, Haas K, Eggers C, Reese JP, Tönges L, Volkmann J. [Care of patients with Parkinson's disease in Germany]. DER NERVENARZT 2020; 91:493-502. [PMID: 32189041 DOI: 10.1007/s00115-020-00890-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
In Germany various concepts for treating patients with Parkinson's disease (PD) are available, e.g. oral medication with levodopa or deep brain stimulation (DBS), depending on the stage and severity of symptoms and also multidisciplinary management up to intersectoral treatment approaches (e.g. complex PD treatment and integrative care concepts). Nevertheless, in the treatment of patients with PD a comprehensive provision of services and a nationwide standardized collation of treatment quality are so far lacking. This is particularly true for technically complicated procedures, which necessitate a high standard of expertise by the treating physician. Some of these challenges could be overcome by expanding digital approaches (e.g. teleneurological consultation and wearables) and by introducing quality assurance initiatives (e.g. comprehensive registries and certification programs).
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Affiliation(s)
- Stephanie Stangl
- Institut für Klinische Epidemiologie und Biometrie (IKE-B), Julius-Maximilians-Universität Würzburg, Würzburg, Deutschland
| | - Kirsten Haas
- Institut für Klinische Epidemiologie und Biometrie (IKE-B), Julius-Maximilians-Universität Würzburg, Würzburg, Deutschland
| | - Carsten Eggers
- Klinik für Neurologie, Universitätsklinikum Marburg, Philipps-Universität Marburg, Marburg, Deutschland
| | - Jens-Peter Reese
- Koordinierungszentrum für Klinische Studien, Philipps-Universität Marburg Fachbereich Medizin, Marburg, Deutschland
| | - Lars Tönges
- St. Josef-Hospital, Klinik für Neurologie, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Jens Volkmann
- Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Deutschland.
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7
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Stangl S, Haas K, Eichner FA, Grau A, Selig U, Ludwig T, Fehm T, Stüber T, Rashid A, Kerscher A, Bargou R, Hermann S, Arndt V, Meyer M, Wildner M, Faller H, Schrauder MG, Weigel M, Schlembach U, Heuschmann PU, Wöckel A. Development and proof-of-concept of a multicenter, patient-centered cancer registry for breast cancer patients with metastatic disease-the "Breast cancer care for patients with metastatic disease" (BRE-4-MED) registry. Pilot Feasibility Stud 2020; 6:11. [PMID: 32042437 PMCID: PMC7001276 DOI: 10.1186/s40814-019-0541-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 12/03/2019] [Indexed: 01/18/2023] Open
Abstract
Background Patients with metastatic breast cancer (MBC) are treated with a palliative approach with focus on controlling for disease symptoms and maintaining high quality of life. Information on individual needs of patients and their relatives as well as on treatment patterns in clinical routine care for this specific patient group are lacking or are not routinely documented in established Cancer Registries. Thus, we developed a registry concept specifically adapted for these incurable patients comprising primary and secondary data as well as mobile-health (m-health) data. Methods The concept for patient-centered “Breast cancer care for patients with metastatic disease” (BRE-4-MED) registry was developed and piloted exemplarily in the region of Main-Franconia, a mainly rural region in Germany comprising about 1.3 M inhabitants. The registry concept includes data on diagnosis, therapy, progression, patient-reported outcome measures (PROMs), and needs of family members from several sources of information including routine data from established Cancer Registries in different federal states, treating physicians in hospital as well as in outpatient settings, patients with metastatic breast cancer and their family members. Linkage with routine cancer registry data was performed to collect secondary data on diagnosis, therapy, and progression. Paper and online-based questionnaires were used to assess PROMs. A dedicated mobile application software (APP) was developed to monitor needs, progression, and therapy change of individual patients. Patient’s acceptance and feasibility of data collection in clinical routine was assessed within a proof-of-concept study. Results The concept for the BRE-4-MED registry was developed and piloted between September 2017 and May 2018. In total n = 31 patients were included in the pilot study, n = 22 patients were followed up after 1 month. Record linkage with the Cancer Registries of Bavaria and Baden-Württemberg demonstrated to be feasible. The voluntary APP/online questionnaire was used by n = 7 participants. The feasibility of the registry concept in clinical routine was positively evaluated by the participating hospitals. Conclusion The concept of the BRE-4-MED registry provides evidence that combinatorial evaluation of PROMs, needs of family members, and raising clinical parameters from primary and secondary data sources as well as m-health applications are feasible and accepted in an incurable cancer collective.
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Affiliation(s)
- Stephanie Stangl
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany.,2Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
| | - Kirsten Haas
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Felizitas A Eichner
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Anna Grau
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Udo Selig
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Timo Ludwig
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Tanja Fehm
- 3Department of Obstetrics and Gynecology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Tanja Stüber
- 2Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
| | - Asarnusch Rashid
- Zentrum für Telemedizin Bad Kissingen (ZTM), Bad Kissingen, Germany
| | - Alexander Kerscher
- 5Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, Würzburg, Germany.,Clinical Cancer Registry Lower Franconia, Würzburg, Germany
| | - Ralf Bargou
- 5Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, Würzburg, Germany
| | - Silke Hermann
- 7Epidemiological Cancer Registry Baden-Württemberg, German Cancer Research Center, Heidelberg, Germany
| | - Volker Arndt
- 7Epidemiological Cancer Registry Baden-Württemberg, German Cancer Research Center, Heidelberg, Germany
| | - Martin Meyer
- 8Centre of Early Cancer Detection and Cancer Registration, Bavarian Health and Food Safety Authority, Nürnberg, Germany
| | | | - Hermann Faller
- 5Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, Würzburg, Germany.,10Department of Medical Psychology and Psychotherapy, Medical Sociology and Rehabilitation Sciences, University of Würzburg, Würzburg, Germany
| | - Michael G Schrauder
- Clinic of Gynecology and Obstetrics, Hospital Aschaffenburg-Alzenau, Aschaffenburg, Germany
| | - Michael Weigel
- Clinic for Gynecology and Obstetrics, Hospital Leopoldina Schweinfurt, Schweinfurt, Germany
| | - Ulrich Schlembach
- Clinic of Gynecology, Caritas Hospital Bad Mergentheim, Bad Mergentheim, Germany
| | - Peter U Heuschmann
- 1Institute of Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany.,14Center for Clinical Studies, University Hospital Würzburg, Würzburg, Germany.,Comprehensive Heart Failure Centre, Würzburg, Germany
| | - Achim Wöckel
- 2Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
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8
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Richter D, Bartig D, Jost W, Jörges C, Stumpe B, Gold R, Krogias C, Tönges L. Dynamics of device-based treatments for Parkinson's disease in Germany from 2010 to 2017: application of continuous subcutaneous apomorphine, levodopa-carbidopa intestinal gel, and deep brain stimulation. J Neural Transm (Vienna) 2019; 126:879-888. [PMID: 31222604 DOI: 10.1007/s00702-019-02034-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 06/14/2019] [Indexed: 12/16/2022]
Abstract
Parkinson's disease (PD) is a very common extrapyramidal movement disorder and currently the world's fastest growing neurological disorder. In the course of disease progression, a majority of PD patients develop severe motor fluctuations which often cannot be adequately treated with common oral anti-Parkinsonian medications. With continuous subcutaneous apomorphine infusion (CSAI), levodopa-carbidopa intestinal gel infusion (LCIG), and deep brain stimulation (DBS), there exist three effective treatment options for advanced PD patients with motor fluctuations. In this study, we analyze the dynamics of implementation for these treatments in Germany over the years 2010-2017 based on the diagnosis-related group statistics and structured quality reports. All three intensified therapy measures are increasingly applied in Germany. The mean age of therapy implementation is rising and more male than female patients receive treatments. Although DBS is provided primarily in university hospitals with a caseload of at least two procedures per month, there exists a substantial proportion of DBS procedures which is conducted in hospitals with only a low caseload. Most of the drug pump implementations (CSAI and LCIG) are conducted in a large number of hospitals with an overall low case number. As we detect a strong rise of the implementation of these device-based therapies, it will be a challenging task to satisfy patient need and perpetuate high standards for these specialized procedures in the future.
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Affiliation(s)
- Daniel Richter
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | | | - Wolfgang Jost
- Center for Movement Disorders, Parkinson-Klinik Ortenau, Wolfach, Germany.,Department of Neurology, University Hospital Freiburg, Freiburg, Germany
| | - Christoph Jörges
- Institute of Geography, Human-Environment Research, University of Wuppertal, Wuppertal, Germany
| | - Britta Stumpe
- Institute of Geography, Human-Environment Research, University of Wuppertal, Wuppertal, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.,Neurodegeneration Research, Protein Research Unit Ruhr (PURE), Ruhr University Bochum, Bochum, Germany
| | - Christos Krogias
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Lars Tönges
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany. .,Neurodegeneration Research, Protein Research Unit Ruhr (PURE), Ruhr University Bochum, Bochum, Germany.
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