Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care

Abstract

Aim: To test the interrater reliability of the modified Oulu Patient Classification instrument, using a multiple parallel classification method based on oral case presentations in home health care in Norway. Design: Reliability study. Methods: Data were collected at two municipal home healthcare units during 2013– 2014. The reliability of the modified OPCq instrument was tested using a new multiple parallel classification method. The data material consisted of 2 010 parallel classifications, analysed using consensus in per cent and Cohen’s kappa. Cronbach’s alpha was used to measure internal consistency. Results: For parallel classifications, consensus varied between 64.78–77.61%. Interrater reliability varied between 0.49–0.69 (Cohen’s kappa), the internal consistency between 0.81–0.94 (Cronbach’s alpha). Analysis of the raw scores showed 27.2% classifications had the same points, 39.1% differed one point, 17.9% differed two points and 16.5% differed ≥3 points.

Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care