Sang Ju Lee; Jung Soon Kim

doi:10.4040/jkan.2016.46.1.59

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Original Article
Development of a Korean Geriatric Suicidal Risk Scale (KGSRS): Sang Ju Lee, Jung Soon Kim; Journal of Korean Academy of Nursing 2016;46(1):59-68.
DOI: https://doi.org/10.4040/jkan.2016.46.1.59
Published online: February 29, 2016

¹Department of Nursing, Dong-eui Institute of Technology, Busan, Korea.

²College of Nursing, Pusan National University, Busan, Korea.

Address reprint requests to: Lee, Sang Ju. Department of Nursing, Dong-eui Institute of Technology, 54 Yangji-ro, Busanjin-gu, Busan 47230, Korea. Tel: +82-51-860-3282, Fax: +82-51-860-3484, sangju01@dit.ac.kr

• Received: April 21, 2015 • Revised: May 4, 2015 • Accepted: October 16, 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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Abstract
NOTES
REFERENCES
Appendix

Abstract

Purpose
Increase in suicide rate for senior citizens which has become widespread in our society today. It is not a normal social phenomenon and is beyond the danger level. The contents of this study include Korean senior citizens' suicide related risk factors and warning signs, and the development of a simple Geriatric Suicide Risk Scale.
Methods
This study is Methodological Research to verify reliability and validity of the Geriatric Suicide Risk Scale according to the tool development process suggested by Devellis (2012).
Results
For predictive validity assessment, high suicide screening accuracy was showed with an Area under the ROC curve (AUC) of .93. For the optimal cutoff point of 11, sensitivity was 93.9%, and specificity, 75.7% which are excellence levels. Cross validity for assessment of generalization possibility showed the Area under the ROC curve (AUC) as .82 and in case of a cutoff point of 11, sensitivity was 73.7%, and specificity, 65.9%.
Conclusion
When it comes to practical nursing, it is significant that the Korean Geriatric Suicide Risk Scale has high reliability and validity through adequate tool development and the tool assessment step to select degree of suicide risk of senior citizens. Also, it can be easily applied and does not take a long time to administer. Further, it can be used by health care personnel or the general public.
Keywords: Suicide; Aged; Instruments

This manuscript is a condensed form of the first author's doctoral dissertation from Pusan National University.

The authors declared no conflict of interest.

REFERENCES

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Appendix

Appendix 1

Korean Geriatric Suicide Risk Scale: KGSRS

Table 1

Selected Variables for Items Construction

Table 2

Validity and Classification in Cut-off Point (Evaluation group) (N=202)

Table 3

ROC Curve and Cut-off Point by Demographic Characteristic (Evaluation group) (N=202)

^*AUC: Under the cuver

Table 4

Validity and Classification in Cut-off Point (Test group) (N=110)

Table 5

ROC Curve and Cut-off Point by Demographic Characteristic (Test group) (N=110)

^*AUC: Under the cuver

Figure & Data

REFERENCES

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Development of a Korean Geriatric Suicidal Risk Scale (KGSRS)

J Korean Acad Nurs. 2016;46(1):59-68. Published online February 29, 2016

DOI: https://doi.org/10.4040/jkan.2016.46.1.59

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Development of a Korean Geriatric Suicidal Risk Scale (KGSRS)

Table 1

Selected Variables for Items Construction

Table 2

Validity and Classification in Cut-off Point (Evaluation group) (N=202)

Table 3

ROC Curve and Cut-off Point by Demographic Characteristic (Evaluation group) (N=202)

^*AUC: Under the cuver

Table 4

Validity and Classification in Cut-off Point (Test group) (N=110)

Table 5

ROC Curve and Cut-off Point by Demographic Characteristic (Test group) (N=110)

^*AUC: Under the cuver

Table 1 Selected Variables for Items Construction

Table 2 Validity and Classification in Cut-off Point (Evaluation group) (N=202)

Table 3 ROC Curve and Cut-off Point by Demographic Characteristic (Evaluation group) (N=202)

^*AUC: Under the cuver

Table 4 Validity and Classification in Cut-off Point (Test group) (N=110)

Table 5 ROC Curve and Cut-off Point by Demographic Characteristic (Test group) (N=110)