Table 5.

Formative indicators for quality criteria.

Indicator	VIFa	Loading	Weight	Loading P value	Weight P value
UBbf1: What is your actual frequency of use of mHealthc to collect biometric data for medical follow-up?	2.10	0.74	0.21	<.001	.007
UBf2: What is your actual frequency of use of mHealth to collect biometric data related to well-being (fitness apps)?	1.68	0.84	0.45	<.001	<.001
UBf3: What is your actual frequency of use of mHealth to access a patient portal (eg, manage appointments, results of clinical analysis, application for online prescription)?	1.94	0.77	0.34	<.001	<.001
UBf4: What is your actual frequency of use of mHealth to monitor therapeutic compliance/adhesion (prescribed drugs/medicine intake follow up)?	2.01	0.53	–0.06	<.001	.43
UBf5: What is your actual frequency of use of mHealth for scientific observational studies (eg, medicine, app, or innovative treatment trial)?	1.86	0.52	0.07	<.001	.45
UBf6: What is your actual frequency of use of mHealth for health information research?	1.80	0.64	0.11	<.001	.21
UBf7: What is your actual frequency of use of mHealth for clinical screening and counselling?	2.04	0.64	0.17	<.001	.04
UBf8: What is your actual frequency of use of mHealth for making remote medical consultations/appointments?	1.90	0.42	0.08	<.001	.34
UBf9: What is your actual frequency of use of mHealth to request home medical consultation?	1.64	0.31	–0.14	<.001	.05
UBf10: What is your actual frequency of use of mHealth to participate in peer support groups or online communities of patients?	1.81	0.46	0.07	<.001	.48

^aVIF: variance inflation factor.

^bUB: use behavior.

^cmHealth: mobile health.