Developing and testing inter-rater reliability of a data collection tool for patient health records on end-of-life care of neurological patients in an acute hospital ward

• Published in: Nursing Open
• Main Authors: Jonsdottir, Gudrun, Haraldsdottir, Erna, Sigurðardóttir, Valgerður Lísa, Thoroddsen, Ásta Steinunn, Vilhjálmsson, Rúnar, Tryggvadottir, Gudny Bergthora, Jónsdóttir, Helga
• Other Authors: Faculty of Nursing and Midwifery, Other departments
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2023
• Subjects: Endurhæfingarhjúkrun; Krabbameinslæknisfræði; end-of-life care; face validity; instrument development; inter-rater reliability; neurological patients; patient health records; Reproducibility of Results; Hospitals; Humans; Data Collection; Terminal Care; Observer Variation; Nursing (all); Iceland
• Online Access: https://hdl.handle.net/20.500.11815/4214; https://doi.org/10.1002/nop2.1789

Funding Information: This study was supported by the grants received by GJ from the following institutions: The Icelandic Nurses´ Association; The University of Iceland and Landspitali, The National University Hospital of Iceland. The funding sources were not involved in the data analysis and interpretation of results. Publisher Copyright: © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. AIM: Develop and test a data collection tool-Neurological End-Of-Life Care Assessment Tool (NEOLCAT)-for extracting data from patient health records (PHRs) on end-of-life care of neurological patients in an acute hospital ward. DESIGN: Instrument development and inter-rater reliability (IRR) assessment. METHOD: NEOLCAT was constructed from patient care items obtained from clinical guidelines and literature on end-of-life care. Expert clinicians reviewed the items. Using percentage agreement and Fleiss' kappa we calculated IRR on 32 nominal items, out of 76 items. RESULTS: IRR of NEOLCAT showed 89% (range 83%-95%) overall categorical percentage agreement. The Fleiss' kappa categorical coefficient was 0.84 (range 0.71-0.91). There was fair or moderate agreement on six items, and moderate or almost perfect agreement on 26 items. CONCLUSION: The NEOLCAT shows promising psychometric properties for studying clinical components of care of neurological patients at the end-of-life on an acute hospital ward but could be further developed in future studies. Peer reviewed