Table 3.

Chi-square test and cross analysis

			Strongly disagree	Disagree	Neutral		Agree	Strongly agree
Sex vs. willingness to reference physician evaluation platforms	Pearson chi-square significance: 0.048% (<0.05)
	Male		2.47%	3.70%		30.86%	43.21%	19.75%
	Female		0.00%	0.84%		21.01%	60.50%	17.65%
Age vs. willingness to reference physician evaluation platforms	Pearson chi-square significance: 0.000% (<0.05)
	21–30 y		0.00%	1.74%		15.65%	62.61%	20.00%
	31–40 y		4.55%	0.00%		36.36%	40.91%	18.18%
	41–50 y		0.00%	2.13%		29.79%	51.06%	17.02%
	51–60 y		7.69%	7.69%		69.23%	15.38%	0.00%
	≥61 y		0.00%	0.00%		33.33%	0.00%	66.67%
Education level vs. need for physician evaluation platforms	Pearson chi-square significance: 0.000% (<0.05)
	High school		0.00%	6.45%		35.48%	32.26%	25.81%
	Undergraduate		0.00%	0.95%		25.71%	63.81%	9.52%
	Graduate		4.92%	1.00%		16.39%	59.02%	18.03%
	PHD		0.00%	33.33%		0.00%	33.33%	33.33%
Occupation vs. trust for physician evaluation platforms	Pearson chi-square significance: 0.002% (<0.05)
	Physicians		15.38%	15.38%		46.15%	23.08%	0.00%
	Pharmacists		0.00%	0.00%		0.00%	100.00%	0.00%
	Nurses		0.00%	0.00%		50.00%	50.00%	0.00%
	Social workers		5.88%	5.88%		58.82%	5.88%	25.53%
	Business owners		0.00%	0.00%		40.00%	60.00%	0.00%
	Business executives		6.25%	0.00%		56.25%	31.25%	2.00%
	Specialists		0.00%	12.00%		48.00%	36.00%	4.00%
	Service industry		3.45%	0.00%		62.07%	34.48%	0.00%
	Agricultural, forestry, fishery, animal husbandry		0.00%	0.00%		0.00%	100.00%	0.00%
	Civil servants		0.00%	0.00%		60.00%	40.00%	0.00%
	Military		0.00%	0.00%		50.00%	0.00%	0.00%
	Students		0.00%	2.53%		37.97%	56.96%	2.53%