Narjes Mirabootalebi, Zahra Meidani, Hossein Akbari, Fatemeh Rangraz Jeddi, Zahra Tagharrobi, Walter Swoboda, Felix Holl
{"title":"护士移动医疗设备接受量表(NMHDA-Scale)的设计与心理测量学评估:期望-确认理论的应用。","authors":"Narjes Mirabootalebi, Zahra Meidani, Hossein Akbari, Fatemeh Rangraz Jeddi, Zahra Tagharrobi, Walter Swoboda, Felix Holl","doi":"10.2196/55324","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention.</p><p><strong>Objective: </strong>This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically.</p><p><strong>Methods: </strong>Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability.</p><p><strong>Results: </strong>The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53% of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach α, and ω coefficient were 0.938, 0.953, and 0.907, respectively.</p><p><strong>Conclusions: </strong>The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"11 ","pages":"e55324"},"PeriodicalIF":2.6000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445626/pdf/","citationCount":"0","resultStr":"{\"title\":\"Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory.\",\"authors\":\"Narjes Mirabootalebi, Zahra Meidani, Hossein Akbari, Fatemeh Rangraz Jeddi, Zahra Tagharrobi, Walter Swoboda, Felix Holl\",\"doi\":\"10.2196/55324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention.</p><p><strong>Objective: </strong>This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically.</p><p><strong>Methods: </strong>Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability.</p><p><strong>Results: </strong>The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53% of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach α, and ω coefficient were 0.938, 0.953, and 0.907, respectively.</p><p><strong>Conclusions: </strong>The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools.</p>\",\"PeriodicalId\":36351,\"journal\":{\"name\":\"JMIR Human Factors\",\"volume\":\"11 \",\"pages\":\"e55324\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445626/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR Human Factors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/55324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Human Factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/55324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory.
Background: The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention.
Objective: This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically.
Methods: Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability.
Results: The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53% of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach α, and ω coefficient were 0.938, 0.953, and 0.907, respectively.
Conclusions: The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools.