Content validation of a questionnaire on healthcare personnel's perceptions of technologies

被引:0
作者
Rincon, Maritza Diaz [1 ]
Franco, Paula Constanza Arango [1 ]
Torrado, Jose Alejandro Vergel [1 ]
Diaz, Olga Lucia Lora [2 ]
机构
[1] Corp Univ Minuto Dios UNIMINUTO, Bogota, Colombia
[2] Univ Sinu Elias Bechara Zainum Unisinu, Cartagena, Colombia
关键词
Digital Technology; Health Personnel; Health Knowledge; Attitudes; Practice; Surveys and Questionnaires; Validation Study; COEFFICIENTS; RELIABILITY;
D O I
10.15649/cuidarte.4145
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Introduction: Across the world, multiple institutions in the health sector actively promote the adoption and expansion of health technology innovations, driven by their potential benefits in improving medical care quality. The successful integration of health technologies into healthcare settings brings significant changes to work activities and depends, in part, on their acceptance and appropriation by healthcare personnel. Objective: To determine the content validity of a questionnaire adapted to assess perceptions and attitudes toward health technologies. Materials and Methods: Content validity was assessed through expert judgment using the model proposed by Escobar and Cuervo (2008). A 28-item questionnaire was adapted to assess health personnel's perceptions and attitudes toward technologies, and content validity was determined using Aiken's V coefficient. The Brennan and Prediger coefficient was used to assess agreement among experts. Results:The Aiken V coefficient was 0.98 (95% CI: 0.88- 1.00) for the entire instrument. The expert agreement was almost perfect. Discussion: Most of the studies evaluating perceptions and attitudes toward technologies do not include validation through expert judgment before conducting statistical validation. Conclusions: According to the criteria of the consulted experts, the questionnaire's content validity is acceptable for assessing perceptions and attitudes toward health technologies.
引用
收藏
页数:12
相关论文
共 38 条
[2]   Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey [J].
Akudjedu, Theophilus N. ;
Torre, Sofia ;
Khine, Ricardo ;
Katsifarakis, Dimitris ;
Newman, Donna ;
Malamateniou, Christina .
JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES, 2023, 54 (01) :104-116
[3]  
[Anonymous], 2008, STOP TB PARTNERSHIP
[4]  
[Anonymous], 2006, Consejo Ejecutivo 118
[5]  
Ato M, 2006, PSICOTHEMA, V18, P638
[6]   The Effects of Technological Developments on Work and Their Implications for Continuous Vocational Education and Training: A Systematic Review [J].
Beer, Patrick ;
Mulder, Regina H. .
FRONTIERS IN PSYCHOLOGY, 2020, 11
[7]   Perceived technology use, attitudes, and barriers among primary care nurses [J].
Bimerew, Million ;
Chipps, Jennifer .
HEALTH SA GESONDHEID, 2022, 27
[8]   Digital health education: the need for a digitally ready workforce [J].
Brown, Tamsin Mary Holland ;
Bewick, Mike .
ARCHIVES OF DISEASE IN CHILDHOOD-EDUCATION AND PRACTICE EDITION, 2023, 108 (03) :214-217
[9]   Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records [J].
Chang, Hyejung ;
Choi, Jae-Young ;
Shim, Jaesun ;
Kim, Mihui ;
Choi, Mona .
HEALTHCARE INFORMATICS RESEARCH, 2023, 29 (04) :323-333
[10]   A breakdown of reliability coefficients by test type and reliability method, and the clinical implications of low reliability [J].
Charter, RA .
JOURNAL OF GENERAL PSYCHOLOGY, 2003, 130 (03) :290-304