JIM - Jornal de Investigação Médica (Jul 2023)

HOW DO MEDICAL AND NURSING STUDENTS VIEW HEALTHCARE TECHNOLOGY? A PSYCHOMETRIC VALIDATION STUDY OF THE USABILITY EVALUATION QUESTIONNAIRE IN BANGLADESH

  • Farhana Manzoor,
  • Nandita Islam Pia,
  • Ridwanur Rahman,
  • Naheyan Bin Rahman,
  • Debashish Debnath,
  • Hasan Shahriar Rahman,
  • Masood Mohammed Abdul Aziz,
  • Farhana Ferdaus,
  • Nahida Sultana,
  • Kazi Shafiqul Halim,
  • Mohammad Gilam Iqbal,
  • Israt Jahan Ummon,
  • Bui Vu Binh,
  • Le Thi Tra My,
  • Le Thi Cuc,
  • Le Thanh Tung,
  • Ngo Huy Hoang,
  • Nguyen Thi Minh Chinh,
  • Nguyen Thi Thanh Huong,
  • Pham Thi Thuy Chinh,
  • Mai Thi Thanh Thu,
  • Essi Ylistalo,
  • Katariina Kunnas,
  • Annukka Huuskonen,
  • Nina Smolander,
  • Anabela de Sousa Salgueiro Oliveira,
  • João Manuel Garcia do Nascimento Graveto,
  • João Gonçalo Ribeiro Pardal,
  • Paulo Jorge dos Santos Costa,
  • Pedro Miguel dos Santos Dinis Parreira

Abstract

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The modernization of healthcare delivery is a reality in various international settings. To ensure efficient and safe use of the diverse forms of healthcare technology available, professionals and students must be receptive to incorporating such tools into their practice. Currently, there is no instrument in Bangladesh to assess healthcare students’ technology acceptance. Objective: To translate, culturally adapt, and validate the Usability Evaluation Questionnaire (UtEQ) among Bangladeshi healthcare students. Method: A cross-sectional study with a methodological approach was conducted in two phases. The first phase involved the translation of the UtEQ questionnaire to Bengali, following the six stages proposed by Beaton et al. In the second phase, the psychometric properties of the questionnaire were evaluated using a non-probability sample of 486 undergraduate healthcare students from three higher education institutions in Bangladesh. Confirmatory factor analysis was performed, and the Cronbach’s alpha coefficient was estimated to find out the internal consistency. Results: Internal consistency was found to be excellent for all scale dimensions, ranging from 0.88 to 0.92, while confirmatory factor analysis showed adequate goodness-of-fit indicators. Conclusion: The UtEQ-B provides a reliable and valid method for healthcare educators and researchers to assess technology acceptance among healthcare students during clinical training in Bangladesh.

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