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기술수용모델II에 기반한 중장년층 입원환자의 스마트모니터 기반 모바일헬스 이용 의도에 관한 경로분석

Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II

  • 주옳음 (부산고려병원 간호부) ;
  • 하이경 (동의대학교 간호학과.동의간호과학연구소)
  • Joo, Ol Eum (Nursing Department, Busan Korea Hospital) ;
  • Ha, Yi Kyung (Department of Nursing, Research Institute of Dong-eui Nursing Science, Dong-eui University)
  • 투고 : 2024.08.02
  • 심사 : 2024.10.21
  • 발행 : 2024.11.29

초록

Purpose: This study aimed to identify factors that influence the intention to use smart monitor-based mobile health (SBM) technology among middle-aged inpatients, based on the technology acceptance model II (TAM II). Methods: A total of 222 participants were surveyed. Data were analyzed using SPSS Statistics 23.0 and IBM SPSS Amos 23. Seven exogenous variables-social influence (SI), personal self-efficacy, (PSE), environmental self-efficacy (ESE), health literacy, health concerns, resistance to innovative technology (RIT), accessibility (AC)- and three endogenous variables-perceived ease of use (PEOU), perceived usability (PU), and intention to use (ITU)-were investigated. Results: The hypothesized path model demonstrated a good fit for the data. SI (β = .13, p = .042), PU (β = .46, p < .001), and PEOU (β = .16, p = .008) had significant direct effects on the ITU, which explained 39.5% of the variance. Additionally, SI (β = .27, p < .001), ESE (β = .16, p = .010), RIT (β = - .12, p = .026), AC (β = .28, p < .001), and PEOU (β = .20, p = .001) indirectly affected ITU through PU, which explained 50.7% of the variance. Furthermore, PSE (β = .38, p < .001) indirectly influenced ITU via PEOU, which explained 38.4% of the variance. Conclusion: This study demonstrates that the TAM II can be used to effectively predict ITU in SBMs among middle-aged inpatients. To expand the intention to use SBMs, it is necessary to develop SBMs that include content and programs that promote PU, SI, and PEOU.

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