Mei: Yes, I think this is correct.
That is why we offered both options: Option (i) is easier for you but involves trusting us to take the Census tract information and do *nothing* with it except add the geographic averages to an otherwise suitably limited dataset. Option (ii) involves you doing this yourself. Bernie ************************************************************* Bernard S. Black [email protected] Nicholas D. Chabraja Professor, Northwestern University Pritzker School of Law Institute for Policy Research Kellogg School of Management, Finance Dep’t Law School: 375 East Chicago Ave., Chicago IL 60611 Kellogg: 2211 Campus Drive, Evanston IL 60208 tel: law: 312-503-2784; Kellogg: 847-491-5049; cell: 847-807-9599 papers on SSRN at: http://ssrn.com/author=16042 ************************************************************ -----Original Message----- From: Mei Liu [mailto:[email protected]] Sent: Monday, July 17, 2017 1:55 PM To: Bernard Black <[email protected]>; [email protected]; Dan Connelly <[email protected]>; [email protected]; [email protected] Cc: [email protected]; [email protected]; [email protected]; Lindsey Cook <[email protected]>; Charon Gladfelter <[email protected]>; Brennan Connolly <[email protected]>; [email protected]; [email protected]; [email protected]; [email protected]; Hillary Sandoval <[email protected]>; George Kowalski <[email protected]> Subject: RE: [gpc-informatics] #544: how to convert ACS raw variables to CAP variables (e.g. type of health insurance)? Based on my limited understanding, ACS variables linked to a census tract contain aggregate/average information. But the census tract ID itself when linked to a patient record is PHI because it identifies a geographic location with <20,000 people. Am I interpreting this correctly? Mei -----Original Message----- From: Bernard Black [mailto:[email protected]] Sent: Monday, July 17, 2017 1:09 PM To: [email protected]<mailto:[email protected]>; Dan Connolly; Mei Liu; [email protected]<mailto:[email protected]>; [email protected] Cc: [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; Lindsey Cook; Charon Gladfelter; Brennan Connolly; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; Hillary Sandoval; George Kowalski Subject: RE: [gpc-informatics] #544: how to convert ACS raw variables to CAP variables (e.g. type of health insurance)? Census tract information *is* averaged, and is not PHI. That is why Census is willing to release it. Bernie ************************************************************* Bernard S. Black [email protected] Nicholas D. Chabraja Professor, Northwestern University Pritzker School of Law Institute for Policy Research Kellogg School of Management, Finance Dep’t Law School: 375 East Chicago Ave., Chicago IL 60611 Kellogg: 2211 Campus Drive, Evanston IL 60208 tel: law: 312-503-2784; Kellogg: 847-491-5049; cell: 847-807-9599 papers on SSRN at: https://urldefense.proofpoint.com/v2/url?u=http-3A__ssrn.com_author-3D16042&d=DwIGaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=UogPJ7VYoAeiC8NNwyY5AxLx8QgaRiMcicgAv7oi3tc&m=kMk6FMeGMKkvajhH3sNxHqinjmIAHAoKxcv6Fel-hbs&s=9pWzo8UHLCWNtjw0ZI9i1Nof20g2dgqoIOHg-yVhTRQ&e= ************************************************************ -----Original Message----- From: GPC Informatics [mailto:[email protected]] Sent: Monday, July 17, 2017 12:11 PM To: Dan Connelly <[email protected]<mailto:[email protected]>>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected] Cc: [email protected]<mailto:[email protected]>; Bernard Black <[email protected]<mailto:[email protected]>>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; Lindsey Cook <[email protected]<mailto:[email protected]>>; Charon Gladfelter <[email protected]<mailto:[email protected]>>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; [email protected]<mailto:[email protected]>; George Kowalski <[email protected]<mailto:[email protected]>> Subject: Re: [gpc-informatics] #544: how to convert ACS raw variables to CAP variables (e.g. type of health insurance)? #544: how to convert ACS raw variables to CAP variables (e.g. type of health insurance)? --------------------------+----------------------- Reporter: dconnolly | Owner: meiliu Type: design-issue | Status: assigned Priority: major | Milestone: next-d Component: data-stds | Resolution: Keywords: | Blocked By: Blocking: 598 | --------------------------+----------------------- Comment (by meiliu): Our most recent IRB protocol is in the attachment. - As noted in the protocol, "...variables such as income, educational attainment, likelihood of employment, poverty status, owner-occupied house value, and health insurance coverage derived from geocoded address data will be used only as average values, not tied to any specific individual but rather to study populations." - I did not find any language on sharing census tract information. I've discussed this with Tamara McMahon and agree that since census tract may be PHI, we currently don't have the governance to take approach 1. Welcome any input from other sites. -- Ticket URL: <https://urldefense.proofpoint.com/v2/url?u=http-3A__informatics.gpcnetwork.org_trac_Project_ticket_544-23comment-3A15&d=DwICaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=CqPxCu-EywA2wo4iO-6BFqfwPQ2roHdsnjQi7SSLgLE&m=wjt2QT-caC0BaQoqA-1jzlQgfOhmfVhDcHV0oV9o_sA&s=SiG0BJXb-ag0DCYa_svdEDeEWNVOJVkGOkV0JtvXSAY&e=> gpc-informatics <https://urldefense.proofpoint.com/v2/url?u=http-3A__informatics.gpcnetwork.org_&d=DwICaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=CqPxCu-EywA2wo4iO-6BFqfwPQ2roHdsnjQi7SSLgLE&m=wjt2QT-caC0BaQoqA-1jzlQgfOhmfVhDcHV0oV9o_sA&s=Mpnaed_RgiVlMRfvyIbhydJzr6UR3yEq9-l7Cbir8co&e=> Greater Plains Network - Informatics
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