Table 5

SEM analysis of predicting healthcare professionals’ acceptance of using electronic personal health record systems in a resource-limited setting, 2022

PathHypothesisβSECRP value95% CIDecision
LowerUpper
PU→ATH10.0790.0461.7300.099−0.0150.174Not
supported
PU→BIH2−0.0130.042−0.0810.912−0.0970.088Not
supported
PEU→PUH50.1040.0482.1690.048*0.0010.207Supported
PEU→ATH60.2040.0484.2380.000**0.1010.306Supported
PEU→BIH70.3770.0478.0010.000**0.2800.475Supported
AT→BIH80.3610.0507.1870.000**0.2630.465Supported
ITE→PUH130.1100.0312.4800.010*0.0190.136Supported
ITE→ATH140.0290.0300.9430.301−0.0280.086Not supported
ITE→BIH15−0.0270.028−0.9510.326−0.0760.026Not supported
DL→ATH160.0530.0401.3170.194−0.0260.137Not supported
DL→BIH170.0870.0372.3560.029*0.0090.162Supported
  • *P<0.05, **p<0.001.

  • AT, attitude; BI, behavioural intention; CR, critical ratio; DL, digital literacy; Hn, hypothesis; ITE, information technology experience; PEU, perceived ease of use; PU, perceived usefulness; SEM, structural equation model; β, estimate.