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. Author manuscript; available in PMC: 2016 Mar 28.
Published in final edited form as: Am J Med Genet C Semin Med Genet. 2003 May 15;119C(1):51–59. doi: 10.1002/ajmg.c.10006

TABLE II.

Beliefs About Likelihood of Unauthorized Access to Medical Records

Text of question CF SCD DM HIV BC-A BC-AR CC-A CC-AR Total
How likely is it that members of your immediate family could get medical information about you…
  Without your knowledge (n = 580) 33.3 31.6 44.1 27.4 38.8 40.0 50.0 37.5 36.6
  Without your permission (n = 578) 16.5 26.8 30.7 12.6 25.0 28.9 26.7 26.0 23.4
How likely is it that health insurers could get medical information about you…
  Without your knowledge (n = 539) 73.3 58.2 72.0 63.6 85.4 75.0 77.3 71.1 70.5
  Without your permission (n = 547) 62.3 53.7 59.4 59.7 71.7 54.6 65.2 51.1 59.4
How likely is it that employers could get medical information about you…
  Without your knowledge (n = 344)a 38.7 14.6 46.0 23.5 38.5 44.7 60.9 43.3 37.2
  Without your permission (n = 339)a 31.2 16.7 41.0 23.5 25.6 37.8 58.3 34.5 32.2
How likely is it that public health authorities could get medical information about you…
  Without your knowledge (n = 573) 56.8 61.1 56.0 57.9 70.0 53.3 54.4 59.6 58.5
  Without your permission (n = 568) 45.2 50.5 52.0 51.6 59.2 46.7 51.2 52.1 50.7
How likely is it that hospital workers could get medical information about you…
  Without your knowledge (n = 580) 71.1 75.0 74.3 70.8 78.0 77.8 73.9 83.7 74.7
  Without your permission (n = 580) 57.3 60.2 69.7 62.1 70.0 75.6 59.6 74.0 64.8

Shown are the percentages of respondents reporting that the indicated events were “likely” to occur. The total number of responses for each question is shown in parentheses. DM, diabetes mellitus; A, affected; AR, at risk.

a

Overall Pearson chi-square by disease group; P < 0.05.