That is my understanding as well. But if you have IRB approval for a limited dataset, I think the tract could be part of a limited dataset since it would not be considered a primary identifier of the patient.
Phillip On 7/17/17, 1:54 PM, "Mei Liu" <[email protected]> wrote: >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]; Dan Connolly; Mei Liu; >[email protected]; [email protected] >Cc: [email protected]; [email protected]; [email protected]; Lindsey Cook; >Charon Gladfelter; Brennan Connolly; [email protected]; >[email protected]; [email protected]; >[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 Dep¹t 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: GPC Informatics [mailto:[email protected]] >Sent: Monday, July 17, 2017 12:11 PM >To: Dan Connelly <[email protected]>; [email protected]; >[email protected]; [email protected] >Cc: [email protected]; Bernard Black <[email protected]>; >[email protected]; [email protected]; Lindsey Cook ><[email protected]>; Charon Gladfelter ><[email protected]>; [email protected]; >[email protected]; [email protected]; >[email protected]; [email protected]; [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)? > >#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.gpcnetwor >k.org_trac_Project_ticket_544-23comment-3A15&d=DwICaQ&c=yHlS04HhBraes5BQ9u >eu5zKhE7rtNXt_d012z2PA6ws&r=CqPxCu-EywA2wo4iO-6BFqfwPQ2roHdsnjQi7SSLgLE&m= >wjt2QT-caC0BaQoqA-1jzlQgfOhmfVhDcHV0oV9o_sA&s=SiG0BJXb-ag0DCYa_svdEDeEWNVO >JVkGOkV0JtvXSAY&e= > gpc-informatics ><https://urldefense.proofpoint.com/v2/url?u=http-3A__informatics.gpcnetwor >k.org_&d=DwICaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=CqPxCu-Eyw >A2wo4iO-6BFqfwPQ2roHdsnjQi7SSLgLE&m=wjt2QT-caC0BaQoqA-1jzlQgfOhmfVhDcHV0oV >9o_sA&s=Mpnaed_RgiVlMRfvyIbhydJzr6UR3yEq9-l7Cbir8co&e= > Greater Plains >Network - Informatics ________________________________ UT Southwestern Medical Center The future of medicine, today. _______________________________________________ Gpc-dev mailing list [email protected] http://listserv.kumc.edu/mailman/listinfo/gpc-dev
