Table 5.

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

Path	Hypothesis	β	SE	CR	P value	95% CI		Decision
						Lower	Upper
PU→AT	H1	0.079	0.046	1.730	0.099	−0.015	0.174	Not supported
PU→BI	H2	−0.013	0.042	−0.081	0.912	−0.097	0.088	Not supported
PEU→PU	H5	0.104	0.048	2.169	0.048*	0.001	0.207	Supported
PEU→AT	H6	0.204	0.048	4.238	0.000**	0.101	0.306	Supported
PEU→BI	H7	0.377	0.047	8.001	0.000**	0.280	0.475	Supported
AT→BI	H8	0.361	0.050	7.187	0.000**	0.263	0.465	Supported
ITE→PU	H13	0.110	0.031	2.480	0.010*	0.019	0.136	Supported
ITE→AT	H14	0.029	0.030	0.943	0.301	−0.028	0.086	Not supported
ITE→BI	H15	−0.027	0.028	−0.951	0.326	−0.076	0.026	Not supported
DL→AT	H16	0.053	0.040	1.317	0.194	−0.026	0.137	Not supported
DL→BI	H17	0.087	0.037	2.356	0.029*	0.009	0.162	Supported

*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.