Integrating Technology Adoption Models Into Implementation Science Methodologies: A Mixed-Methods Preimplementation Study.

Background and Objectives Sustainable implementation of patient-oriented technologies in health care settings is challenging. Preimplementation studies guided by the Consolidated Framework for Implementation Research (CFIR) can provide opportunities to address barriers and leverage facilitators that...

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Publicado en:Gerontologist Vol. 63; no. 3; pp. 416 - 428
Autores principales: Gallant, Natasha L, Hadjistavropoulos, Thomas, Stopyn, Rhonda J N, Feere, Emma K
Formato: Artículo
Publicado: Oxford University Press / USA Apr2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2023
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      pub: Oxford University Press / USA
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        10.1093/geront/gnac098
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        atl: Integrating Technology Adoption Models Into Implementation Science Methodologies: A Mixed-Methods Preimplementation Study.
      aug:
        au:
          Gallant, Natasha L
          Hadjistavropoulos, Thomas
          Stopyn, Rhonda J N
          Feere, Emma K
        affil:
          Department of Psychology, University of Regina , Regina , Saskatchewan , Canada
          Centre on Aging and Health, University of Regina , Regina , Saskatchewan , Canada
      su:
        Patient-centered care
        Interviewing
        Quantitative research
        Organizational change
        Health behavior
        Technology
        Content analysis
        Pain measurement
        Nurses' attitudes
        Research methodology
        Questionnaires
        Factor analysis
        Intention
        Long-term health care
      sug:
        subj:
          Patient-centered care
          Interviewing
          Quantitative research
          Organizational change
          Health behavior
          Technology
          Content analysis
          Pain measurement
          Nurses' attitudes
          Research methodology
          Questionnaires
          Factor analysis
          Intention
          Long-term health care
      keyword:
        Barriers
        Facilitators
        Health care settings
        Patient-oriented technology
        Technology adoption
        Barriers
        Facilitators
        Health care settings
        Patient-oriented technology
        Technology adoption
      ab: Background and Objectives Sustainable implementation of patient-oriented technologies in health care settings is challenging. Preimplementation studies guided by the Consolidated Framework for Implementation Research (CFIR) can provide opportunities to address barriers and leverage facilitators that can maximize the likelihood of successful implementation. When looking to implement patient-oriented technologies, preimplementation studies may also benefit from guidance from a conceptual framework specific to technology adoption such as the Unified Theory of Acceptance and Use of Technology. This study was, therefore, aimed at identifying determinants for the successful implementation of a patient-oriented technology (i.e. automated pain behavior monitoring [APBM] system) within a health care setting (i.e. long-term care [LTC] facility). Research Design and Methods Using a mixed-methods study design, 164 LTC nurses completed a set of questionnaires and 68 LTC staff participated in individual interviews involving their perceptions of an APBM system in LTC environments. Quantitative data were analyzed using a series of mediation analyses and narrative responses were examined using directed content analysis. Results Performance expectancy and effort expectancy partially and fully mediated the influence of implementation, readiness for organizational change, and technology readiness constructs on behavioral intentions to use the APBM system in LTC environments. Findings from the qualitative portion of this study provide guidance for the development of an intervention that is grounded in the CFIR. Discussion and Implications Based on our results, we offer recommendations for the implementation of patient-oriented technologies in health care settings.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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