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. 2022 Jul 24;22:191. doi: 10.1186/s12911-022-01917-3
Factors Supporting references Hypothesis Measurement Instruments (Adapted for the study’s context)
Performance Expectancy (PE) [41, 77, 81, 88, 120] H1: PE has positive impact on the elderly's intention to use mHealth [88, 89]
Effort Expectancy (EE) [41, 81, 120, 164] H2: EE has positive impact on the elderly's intention to use mHealth [77, 88, 92]
Social Influence (SI) [41, 81, 93, 120, 164] H3: SI has positive impact on the elderly's intention to use mHealth [77, 96, 97]
Facilitating Condition (FC) [81, 88, 94, 99, 165] H4: FC has positive impact on the elderly's intention to use mHealth [100, 101]
Hedonic Motivation (HM) [81, 101103, 105, 165] H5: HM has positive impact on the elderly's intention to use mHealth [106, 165]
Price Value (PV) [81, 107] H6: PV has positive impact on the elderly's intention to use mHealth [108, 109]
Habit (HA) [60, 81, 165] H7: HA has positive impact on the elderly's intention to use mHealth [110, 111]
H8: HA has positive impact on the elderly's use behavior of mHealth
Service Quality (SQ) [60, 82, 84, 85, 111, 112] H9: SQ has positive impact on the elderly’s intention to use mHealth [113115]
H10: SQ has positive impact on the elderly’s use behavior of mHealth
Quality of Life (QL) [46, 49, 74, 82, 116, 117, 134, 161, 166, 167] H11: QL has positive impact on the elderly's intention to use mHealth [73]
H12: QL has positive impact on the elderly’s use behavior of mHealth
Behavioral Intention (BI) [77, 81, 119121, 164] H13: BI has positive impact on the elderly's use behavior of mHealth [81, 119]
Use Behavior (UB) [81, 120] [164]