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Background

The research instrument used in this study was designed entirely by the POP Team after consulting the Radio Television Hong Kong, all fieldwork operations, data collection and analysis were carried out independently by POP, in other words, POP had full independence in the survey design and operation and would take full responsibility for all the findings reported herewith.

Survey questions

：

Q1 The HKSAR government is now conducting a public consultation on the Voluntary Health Insurance Scheme. Regardless of whether you have heard of the “Voluntary Health Insurance Scheme” before, to what extend do you support or oppose this Scheme?

Q2 Have you bought any medical insurance? Including those you bought yourself or from other parties (including by company). [If yes, probe “Do the insurance(s) cover(s) hospital expenses?”]

Research team members

Research Directors:
Robert Ting-yiu Chung,
Karie Ka-lai Pang

Research Executive:
Frank Wai-kin Lee

Data Analysts:
Edward Chit-fai Tai, Johnny Chi-chiu Yiu,
Alex Ka-wai Huang

Contact information

Date	:	11-16/2/2015
Survey method	:	Telephone survey conducted by real telephone interviewers
Target	:	Cantonese-speaking Hong Kong citizens aged 18 or above
Sampling method	:	Telephone numbers are randomly generated using known prefixes assigned to telecommunication services providers under the Numbering Plan provided by the Office of the Communications Authority (OFCA). Invalid numbers are then eliminated according to computer and manual dialing records to produce the final sample. If more than one eligible subject had been available, the one who had his/her birthday next was selected.
Sample size	:	1,009 successful cases
Overall response rate	:	67.6%
Sampling error	:	Standard error less than 2%, that is, sampling error of percentages not more than +/-3.0% at 95% confidence level

* In order to increase the representation of the results, the survey figures have been rim-weighted according to provisional figures obtained from the Census and Statistics Department regarding the gender-age distribution of the Hong Kong population in 2014 year-end and the educational attainment (highest level attended) distribution collected in the 2011 Census. Figures in the report are prevailed according to the “weighted” sample.

Frequency tables

Q1 The HKSAR government is now conducting a public consultation the Voluntary Health Insurance Scheme. Regardless of whether you have heard of the “Voluntary Health Insurance Scheme” before, to what extend do you support or oppose this Scheme?

		Frequency		Percentage (Base=1,006)
Very much support	} Support	110	} 416	10.9%	} 41.3%
Quite support		306		30.4%
Half-Half		219		21.8%
Quite oppose	} Oppose	145	} 225	14.4%	} 22.4%
Very much oppose		80		8.0%
Don’t know/Hard to say		145		14.5%
Total		1,006		100.0%

Q2 Have you bought any medical insurance? Including those you bought yourself or from other parties (including by company). [If yes, probe “Do the insurance(s) cover(s) hospital expenses?”]

	Frequency	Percentage (Base=1,009)
I have bought medical insurance and it covers hospital expenses	445	44.1%
I have bought medical insurance and it does not covers hospital expenses	41	4.0%
I have bought medical insurance but I don’t know does it covers hospital expenses or not	21	2.1%
I have not purchased any medical insurance	493	48.9%
Don’t know/Hard to say	9	0.9%
Total	1,009	100.0%

Demographics

Sex

	Frequency	Percentage (Base=1,009)
Male	457	45.3%
Female	552	54.7%
Total	1,009	100.0%

Age

	Frequency	Percentage (Base=1,001)
18 - 39	364	36.4%
40 - 59	390	39.0%
60 or above	247	24.6%
Total	1,001	100.0%
Missing	8

Education attainment

	Frequency	Percentage (Base=1,007)
Primary or below	136	13.5%
Secondary school	490	48.7%
Tertiary or above	380	37.8%
Total	1,007	100.0%
Missing	2

Occupation

	Frequency	Percentage (Base=994)
Executives and professionals	240	24.1%
Clerical and service workers	186	18.7%
Production workers	74	7.5%
Students	106	10.6%
Housewives	157	15.7%
Others	232	23.4%
Total	994	100.0%
Missing	15

Social strata

	Frequency	Percentage (Base=996)
Self-claim “upper class”	228	22.9%
Self-claim “middle class”	320	32.1%
Self-claim “lower class”	421	42.3%
Total	996	100.0%
Missing	13
Don’t know/hard to say	27