Aim: To test the content validity of a modified Oulu Patient Classification instrument (OPCq), part of the RAFAELA Nursing Intensity and Staffing system in home health care (HHC) in Norway. Background: Due to the grow...Aim: To test the content validity of a modified Oulu Patient Classification instrument (OPCq), part of the RAFAELA Nursing Intensity and Staffing system in home health care (HHC) in Norway. Background: Due to the growing number of patients in HHC, a Patient Classification System (PCS) whereby the systematic registration of patients’ care needs, nursing intensity (NI) and the allocation of nursing staff can occur is needed. The validity and reliability of the OPCq instrument have been tested with good outcomes in hospital settings, but only once in an HHC setting. In this study, the OPCq is tested for the first time in HHC in Norway. Methods: A pilot study with a descriptive design. The data were collected through a questionnaire (n = 44). Both qualitative and quantitative analyses were used. Results: The OPCq fulfills the requirements for validity in HHC, but the manual may need some minor adjustments. Discussion: The OPCq seems to be useful for measuring nursing intensity in HHC. Staff training and guidance, high-quality technological solutions and that all technology works satisfactorily are important when implementing a new PCS. Further research is needed in regard to NI and the optimal allocation of nursing staff in an HHC setting.展开更多
Objective: To study reliability and validity of the Finnish Oulu Patient Classification instrument in Norway. Background: The Finnish patient classification system RAFAELA consists of three parts: 1) daily patient cla...Objective: To study reliability and validity of the Finnish Oulu Patient Classification instrument in Norway. Background: The Finnish patient classification system RAFAELA consists of three parts: 1) daily patient classification of nursing intensity using the Oulu Patient Classification instrument, 2) calculation of nursing resources providing bed side care per 24 hours, and 3) Professional Assessment of Optimal Nursing Care Intensity Level. The RAFAELA system has not been tested outside of Finland. Methods: A prospective, descriptive study was performed at 5 clinical units at Oslo University Hospital during 2011-2012. The interrater reliability of the Oulu Patient Classification instrument was tested by parallel classification including 100-167 patient classifications pr. unit, and analyzed by consensus in % and using Cohen’s Kappa. Convergent validity was tested by using the average Oulu Patient Classification instrument value to predict the average Professional Assessment of Optimal Nursing Care Intensity Level for the same calendar day by linear regression analysis. Results: The Oulu Patient Classification instrument consensus of parallel classifications varied between 70.1%-89%. Cohen’s Kappa within patient classes varied between 0.57 and 0.81, representing substantial interrater reliability. The Oulu Patient Classification instrument was valid as the instrument in average explained about 38% of the variation of the Professional Assessment of Optimal Nursing Care Intensity Level. Conclusions: Patient classification systems tested for psychometric properties are needed and this study provides evidence of satisfactory reliability and validity of the Oulu Patient Classification instrument as tested outside Finland, demonstrating that this instrument has international relevance within nursing.展开更多
文摘Aim: To test the content validity of a modified Oulu Patient Classification instrument (OPCq), part of the RAFAELA Nursing Intensity and Staffing system in home health care (HHC) in Norway. Background: Due to the growing number of patients in HHC, a Patient Classification System (PCS) whereby the systematic registration of patients’ care needs, nursing intensity (NI) and the allocation of nursing staff can occur is needed. The validity and reliability of the OPCq instrument have been tested with good outcomes in hospital settings, but only once in an HHC setting. In this study, the OPCq is tested for the first time in HHC in Norway. Methods: A pilot study with a descriptive design. The data were collected through a questionnaire (n = 44). Both qualitative and quantitative analyses were used. Results: The OPCq fulfills the requirements for validity in HHC, but the manual may need some minor adjustments. Discussion: The OPCq seems to be useful for measuring nursing intensity in HHC. Staff training and guidance, high-quality technological solutions and that all technology works satisfactorily are important when implementing a new PCS. Further research is needed in regard to NI and the optimal allocation of nursing staff in an HHC setting.
文摘Objective: To study reliability and validity of the Finnish Oulu Patient Classification instrument in Norway. Background: The Finnish patient classification system RAFAELA consists of three parts: 1) daily patient classification of nursing intensity using the Oulu Patient Classification instrument, 2) calculation of nursing resources providing bed side care per 24 hours, and 3) Professional Assessment of Optimal Nursing Care Intensity Level. The RAFAELA system has not been tested outside of Finland. Methods: A prospective, descriptive study was performed at 5 clinical units at Oslo University Hospital during 2011-2012. The interrater reliability of the Oulu Patient Classification instrument was tested by parallel classification including 100-167 patient classifications pr. unit, and analyzed by consensus in % and using Cohen’s Kappa. Convergent validity was tested by using the average Oulu Patient Classification instrument value to predict the average Professional Assessment of Optimal Nursing Care Intensity Level for the same calendar day by linear regression analysis. Results: The Oulu Patient Classification instrument consensus of parallel classifications varied between 70.1%-89%. Cohen’s Kappa within patient classes varied between 0.57 and 0.81, representing substantial interrater reliability. The Oulu Patient Classification instrument was valid as the instrument in average explained about 38% of the variation of the Professional Assessment of Optimal Nursing Care Intensity Level. Conclusions: Patient classification systems tested for psychometric properties are needed and this study provides evidence of satisfactory reliability and validity of the Oulu Patient Classification instrument as tested outside Finland, demonstrating that this instrument has international relevance within nursing.
