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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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Qualitätsmanagement und Qualitätssicherung im Gesundheitswesen. Public Health 2022. [DOI: 10.1016/b978-3-437-22262-7.00051-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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