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Original Research

Psychometric properties of the Patient Dignity Inventory in an acute psychiatric ward: an extension study of the preliminary validation

, , , , , , , & show all
Pages 903-913 | Published online: 29 Mar 2018
 

Abstract

Background

During the last decades, dignity has been an emerging issue in mental health since its ethical and therapeutic implications became known. This study is an extension of the preliminary validation of the Patient Dignity Inventory (PDI) in a psychiatric setting, originally designed for assessing perceived dignity in terminal cancer patients.

Methods

From October 21, 2015 to December 31, 2016, we administered the Italian PDI to all patients hospitalized in an acute psychiatric ward, who provided their consent and completed it at discharge (n=165). We performed Cronbach’s alpha coefficient and principal factor analysis. We administered other scales concomitantly to analyze the concurrent validity of PDI. We applied stepwise multiple linear regression to identify the patients’ demographic and clinical variables related to the PDI score.

Results

Our response rate was 93%, with excellent internal consistency (Cronbach’s alpha coefficient=0.94). The factorial analysis showed three factors with eigenvalue >1, which explained >80% of total variance: 1) “loss of self-identity and anxiety for the future”, 2) “concerns for social dignity and spiritual life”, and 3) “loss of personal autonomy”. The PDI and the three factor scores were positively and significantly correlated with the Hamilton Scales for Depression and Anxiety but not with other scale scores. Among patients’ variables, “suicide risk” and “insufficient social and economic condition” were positively and significantly correlated with the PDI total score.

Conclusion

The PDI can be a reliable tool to assess patients’ dignity perception in a psychiatric setting, which suggests that both social and clinical severe conditions are closely related to dignity loss.

Acknowledgments

The authors specially thank the patients who participated in this research and thanks are due to Orianna Raggioli who carefully revised this paper.

Author contributions

All authors contributed toward data analysis, drafting and revising the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.