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

Abstract

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.