Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol
Introduction Healthcare practices providing minimal or no benefit to recipients have been estimated to represent 20% of healthcare costs. However, defining, measuring and monitoring low-value care (LVC) and its downstream consequences remain a major challenge. The purpose of the National Data Stream...
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BMJ Publishing Group
2024-12-01
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| Online Access: | https://bmjopen.bmj.com/content/14/12/e089662.full |
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| author | Drahomir Aujesky Manuela Eicher Arnaud Chiolero Coralie Galland-Decker Marie Méan Stefano Bassetti Jerôme Stirnemann Carole Elodie Aubert Jean-Luc Reny Jean-Benoît Rossel Alexander Leichtle Christian Lovis Christoph A Meier Jérémie Despraz Tommaso Guffi Julien Ehrsam Marie Débieux Marie-Josée Crevier Cyril Matthey-Doret Stefan Milosaljevic Guillaume Obozinski Jean-Louis Raisaro Oksana Ribaz-Grognuz Florian Rüter Bram Stjeltes Florence Vallelian Ulrika Axius Ursula Ganz-Blaettler Beat Meyer Patrick Staeger Ute Studer Jennifer Woods Estelle Jobson Pedro Marquez-Vidal |
| author_facet | Drahomir Aujesky Manuela Eicher Arnaud Chiolero Coralie Galland-Decker Marie Méan Stefano Bassetti Jerôme Stirnemann Carole Elodie Aubert Jean-Luc Reny Jean-Benoît Rossel Alexander Leichtle Christian Lovis Christoph A Meier Jérémie Despraz Tommaso Guffi Julien Ehrsam Marie Débieux Marie-Josée Crevier Cyril Matthey-Doret Stefan Milosaljevic Guillaume Obozinski Jean-Louis Raisaro Oksana Ribaz-Grognuz Florian Rüter Bram Stjeltes Florence Vallelian Ulrika Axius Ursula Ganz-Blaettler Beat Meyer Patrick Staeger Ute Studer Jennifer Woods Estelle Jobson Pedro Marquez-Vidal |
| collection | DOAJ |
| description | Introduction Healthcare practices providing minimal or no benefit to recipients have been estimated to represent 20% of healthcare costs. However, defining, measuring and monitoring low-value care (LVC) and its downstream consequences remain a major challenge. The purpose of the National Data Stream (LUCID NDS) is to identify and monitor LVC in medical inpatients using routinely collected hospital data.Methods and analysis This protocol describes a multistep approach to the identification and surveillance of LVC: (1) creating an NDS based on Findable, Accessible, Interoperable, Reusable (FAIR) principles using routinely collected hospital data from medical inpatients who signed a general consent for data reuse from 2014 onwards; (2) selecting recommendations applicable to medical inpatients using data from LUCID NDS to develop a comprehensive and robust set of LVC indicators; (3) establishing expert consensus on the most relevant and actionable recommendations to prevent LVC; (4) applying the Strength of Recommendation Taxonomy methodology to assess the level of evidence of recommendations; (5) involving patients and the public at various stages of LUCID NDS; and (6) designing monitoring rules within the LUCID NDS and validating quality measures.Ethics and dissemination The ethics committees of all five participating university hospitals (Basel, Bern, Geneva, Lausanne and Zurich) approved LUCID NDS as a national registry on quality of care. We will disseminate our findings in peer-reviewed journals, at professional conferences, and through short reports sent to participating entities and stakeholders; moreover, lay summaries are provided for patients and the broader public on our webpage (www.LUCID-nds.ch). |
| format | Article |
| id | doaj-art-f8029f86c14643dc9cefa2d9e1305b8c |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMJ Publishing Group |
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| series | BMJ Open |
| spelling | doaj-art-f8029f86c14643dc9cefa2d9e1305b8c2025-01-01T08:15:10ZengBMJ Publishing GroupBMJ Open2044-60552024-12-01141210.1136/bmjopen-2024-089662Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol Drahomir Aujesky0Manuela EicherArnaud ChioleroCoralie Galland-DeckerMarie Méan1Stefano Bassetti2Jerôme Stirnemann3Carole Elodie Aubert4Jean-Luc Reny5Jean-Benoît Rossel6Alexander LeichtleChristian LovisChristoph A Meier7Jérémie DesprazTommaso Guffi8Julien Ehrsam9Marie Débieux10Marie-Josée Crevier11Cyril Matthey-DoretStefan MilosaljevicGuillaume ObozinskiJean-Louis RaisaroOksana Ribaz-GrognuzFlorian RüterBram StjeltesFlorence VallelianUlrika AxiusUrsula Ganz-BlaettlerBeat MeyerPatrick StaegerUte StuderJennifer WoodsEstelle JobsonPedro Marquez-VidalDivision of General Internal Medicine, Inselspital Universitatsspital Bern, Bern, SwitzerlandCHUV, Lausanne, Vaud, SwitzerlandDivision of Internal Medicine, Universitatsspital Basel, Basel, SwitzerlandHôpitaux Universitaires Genève, Geneve, SwitzerlandGeneral Internal Medicine, Inselspital University Hospital Bern, Bern, SwitzerlandDepartment of Medicine, Geneva University Hospitals, Geneve, SwitzerlandUniversity of Bern, Bern, SwitzerlandDivision of Internal Medicine, Universitätsspital Zürich, Zurich, SwitzerlandDepartment of Medicine, Lausanne University Hospital, Lausanne, SwitzerlandDepartment of Diagnostic, HUG, Geneve, SwitzerlandUniversity of Fribourg, Fribourg, SwitzerlandLausanne University Hospital, Lausanne, SwitzerlandIntroduction Healthcare practices providing minimal or no benefit to recipients have been estimated to represent 20% of healthcare costs. However, defining, measuring and monitoring low-value care (LVC) and its downstream consequences remain a major challenge. The purpose of the National Data Stream (LUCID NDS) is to identify and monitor LVC in medical inpatients using routinely collected hospital data.Methods and analysis This protocol describes a multistep approach to the identification and surveillance of LVC: (1) creating an NDS based on Findable, Accessible, Interoperable, Reusable (FAIR) principles using routinely collected hospital data from medical inpatients who signed a general consent for data reuse from 2014 onwards; (2) selecting recommendations applicable to medical inpatients using data from LUCID NDS to develop a comprehensive and robust set of LVC indicators; (3) establishing expert consensus on the most relevant and actionable recommendations to prevent LVC; (4) applying the Strength of Recommendation Taxonomy methodology to assess the level of evidence of recommendations; (5) involving patients and the public at various stages of LUCID NDS; and (6) designing monitoring rules within the LUCID NDS and validating quality measures.Ethics and dissemination The ethics committees of all five participating university hospitals (Basel, Bern, Geneva, Lausanne and Zurich) approved LUCID NDS as a national registry on quality of care. We will disseminate our findings in peer-reviewed journals, at professional conferences, and through short reports sent to participating entities and stakeholders; moreover, lay summaries are provided for patients and the broader public on our webpage (www.LUCID-nds.ch).https://bmjopen.bmj.com/content/14/12/e089662.full |
| spellingShingle | Drahomir Aujesky Manuela Eicher Arnaud Chiolero Coralie Galland-Decker Marie Méan Stefano Bassetti Jerôme Stirnemann Carole Elodie Aubert Jean-Luc Reny Jean-Benoît Rossel Alexander Leichtle Christian Lovis Christoph A Meier Jérémie Despraz Tommaso Guffi Julien Ehrsam Marie Débieux Marie-Josée Crevier Cyril Matthey-Doret Stefan Milosaljevic Guillaume Obozinski Jean-Louis Raisaro Oksana Ribaz-Grognuz Florian Rüter Bram Stjeltes Florence Vallelian Ulrika Axius Ursula Ganz-Blaettler Beat Meyer Patrick Staeger Ute Studer Jennifer Woods Estelle Jobson Pedro Marquez-Vidal Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol BMJ Open |
| title | Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol |
| title_full | Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol |
| title_fullStr | Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol |
| title_full_unstemmed | Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol |
| title_short | Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol |
| title_sort | monitoring low value care in medical patients from swiss university hospitals using a findable accessible interoperable reusable fair national data stream and patient and public involvement lucid study protocol |
| url | https://bmjopen.bmj.com/content/14/12/e089662.full |
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