Development and testing of the shared decision-making attitudes scale among nurses in Taiwan: a cross-sectional scale development study

Abstract

ObjectiveShared decision-making (SDM) enhances medical care, but an appropriate tool for evaluating nursing staff’s attitudes towards SDM in clinical practice is lacking. The objective of this study is to develop the Nursing Shared Decision-Making Attitude (NSDMA) scale and verify its psychometric properties.DesignInstrument design study.ParticipantsA sample of 451 nursing staff.InterventionThis study comprised two phases. In phase 1, qualitative research and expert content validity were adopted to develop the first draft of the scale. In phase 2, Taiwanese nursing staff were recruited through convenience sampling, and the sample was divided into a calibration sample and a validation sample. An objective structured clinical examination of SDM attitudes was administered to 100 nursing staff to determine the scale’s cut-off score.Main outcome measurementsExploratory factor analysis and confirmatory factor analysis were used to obtain the underlying factors of the NSDMA scale; McDonald’s omega value was used to determine the reliability; known-group validity was used to test the construct validity; and the receiver operating characteristic curve was adopted to determine the scale’s cut-off score.ResultsIn total, two factors were identified from the instrument results, which were termed ‘empathic communication’ and ‘mastery learning’. The McDonald’s omega value of the overall scale was 0.92. Known-group validity testing was performed based on the staff’s participation in SDM courses and experience of SDM, and the results exhibited significant differences (t=5.49, p<0.001; t=2.43, p<0.05). Based on the receiver operating characteristic curve, the optimal cut-off for SDM attitudes was determined as 48.5 points.ConclusionsThe NSDMA scale enables the evaluation of SDM attitudes among clinical nursing staff and nursing managers; the results may serve as a reference for incorporation of SDM into nursing policy formulation.