Volume 30, Issue 110 (February 2018)
IJN 2018, 30(110): 21-32 |
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Salehi P, Pouladi S, Yazdankhahfard M, Mirzaei K. Designing and Psychometric Assessment of the Questionnaire for Artificial Airway Patients’ Satisfaction with Nurse's Non-verbal Communication during Nursing Cares. IJN 2018; 30 (110) :21-32
URL: http://ijn.iums.ac.ir/article-1-2579-en.html
URL: http://ijn.iums.ac.ir/article-1-2579-en.html
1- Student Research Committee, Department of Nursing, Bushehr university of medical science, Bushehr, Iran
2- Assistant Professor in Nursing, Bushehr University of Medical Sciences, Bushehr, Iran. (Corresponding Author) Tel:077-33450187 Email: pouladi2008@yahoo.com
3- Department of Nursing, Bushehr University of medical science, Bushehr, Iran
4- Department of Social Medicine, Bushehr University of medical science, Bushehr, Iran
2- Assistant Professor in Nursing, Bushehr University of Medical Sciences, Bushehr, Iran. (Corresponding Author) Tel:077-33450187 Email: pouladi2008@yahoo.com
3- Department of Nursing, Bushehr University of medical science, Bushehr, Iran
4- Department of Social Medicine, Bushehr University of medical science, Bushehr, Iran
Abstract: (6315 Views)
Abstract
Background & Aim: Verbal communication disorder is one of the most important problems of mechanically ventilated patients which can lead to anxiety and decrease satisfaction. The purpose of this study is designing and psychometric assessment of the questionnaire for artificial airway patients’ satisfaction with nurses non-verbal communication during nursing cares.
Materials & Methods: This is a methodological study which was performed using Waltz 2010 method in 4 steps, namely conceptual model definition, determination of goals and tools design, compiling initial plan, and determining reliability and validity in 2016. The study population includes all patients with artificial airway in 3 hospitals under the supervision of Shiraz University of Medical Sciences. Totally, 240 patients were selected for the study, using convenience sampling. The questionnaire validity was evaluated using face, construct, and content validities. Pearson correlation coefficient and Cronbach's alpha were used to evaluate the external and internal reliabilities. SPSS Software V.19 was used for data analysis.
Results: The initial version of questionnaire was designed with 27 items. After face and content validation process, the second version was designed in 24 items. The maximum score for all items was 1.5. The values of CVI and CVR were obtained at 0.89 and 0.88, respectively. For construct validity, the items were reduced to 12, based on explanatory factor analysis. The final questionnaire was obtained in 3 satisfaction dimensions namely providing physiologic, social, and emotional-psychological needs with predictive power of 47.706. The Cronbach's alpha value was calculated at 0.67. Pearson correlation coefficient was calculated at 0.67, which suggests the validity and reliability of the questionnaire.
Conclusion: Considering the limitation of data availability for evaluating the satisfaction of artificial airway patients with nursing communication, the questionnaire can be an efficient tool for detecting the patient-nurse communicational challenges and patients’ needs in different areas as well as improving care services quality.
Background & Aim: Verbal communication disorder is one of the most important problems of mechanically ventilated patients which can lead to anxiety and decrease satisfaction. The purpose of this study is designing and psychometric assessment of the questionnaire for artificial airway patients’ satisfaction with nurses non-verbal communication during nursing cares.
Materials & Methods: This is a methodological study which was performed using Waltz 2010 method in 4 steps, namely conceptual model definition, determination of goals and tools design, compiling initial plan, and determining reliability and validity in 2016. The study population includes all patients with artificial airway in 3 hospitals under the supervision of Shiraz University of Medical Sciences. Totally, 240 patients were selected for the study, using convenience sampling. The questionnaire validity was evaluated using face, construct, and content validities. Pearson correlation coefficient and Cronbach's alpha were used to evaluate the external and internal reliabilities. SPSS Software V.19 was used for data analysis.
Results: The initial version of questionnaire was designed with 27 items. After face and content validation process, the second version was designed in 24 items. The maximum score for all items was 1.5. The values of CVI and CVR were obtained at 0.89 and 0.88, respectively. For construct validity, the items were reduced to 12, based on explanatory factor analysis. The final questionnaire was obtained in 3 satisfaction dimensions namely providing physiologic, social, and emotional-psychological needs with predictive power of 47.706. The Cronbach's alpha value was calculated at 0.67. Pearson correlation coefficient was calculated at 0.67, which suggests the validity and reliability of the questionnaire.
Conclusion: Considering the limitation of data availability for evaluating the satisfaction of artificial airway patients with nursing communication, the questionnaire can be an efficient tool for detecting the patient-nurse communicational challenges and patients’ needs in different areas as well as improving care services quality.
Type of Study: Research |
Subject:
nursing
Received: 2017/11/8 | Accepted: 2018/02/7 | Published: 2018/02/7
Received: 2017/11/8 | Accepted: 2018/02/7 | Published: 2018/02/7
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