Hi Rita,

As we are preparing the counts at UMN I have a quick question:

For section A our interpretation for the "Number of patients covered by
insurance plan" is that this number would be derived from the 'Number of
active patients with data in EMR', is that how CMH did it?

Since we used "active patients" to get the percentages for part B..

Thanks,
Supreet

On Thu, Jan 8, 2015 at 11:03 AM, Fothergill, Rita, R <[email protected]>
wrote:

>  Hi All!
>
>
>
> Here are the numbers for CMH for part A and part B.  Does each site need
> to fill out part C?
>
>  ·         For “active patients”, used the formula: “2 visits in the 3
> years where the visits are separated by greater than 30 days”.
>
>
>
>
>
> CMH
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Number of active patients with data in EMR
>
> 227,120
>
>
>
>
>
>
>
>
>
>
>
>
>
> Number of patients covered by insurance plan
>
> 219,959
>
>
>
>
>
>
>
>
>
>
>
>
>
> Number of patients for which both EMR and insurance claims data are
> available
>
> 219,959
>
>
>
>
>
>
>
>
>
>
>
>
>
> Count of distinct patients with at least one encounter or record in the
> system
>
> 1,444,273
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> *Part B: Insurance Coverage Overview*
>
>
>
> ·         No distinction in our system whether insurance is "group"
> coverage or “individual”.
>
> ·         Used “active patients” to get percentages
>
> ·         Medicaid insurance includes out of state Medicaid coverage as
> well
>
>
>
>
>
> CMH
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Percent group
>
> UNKNOWN
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent individual
>
> UNKNOWN
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent commercial
>
> 43.51%
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent Medicaid
>
> 47.45%
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent Medicare
>
> 0.08%
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent other public payer
>
> 2.46%
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent self-pay or uninsured
>
> 6.17%
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent with unknown payer
>
> 0%
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> Thanks,
>
> *Rita Fothergill* | Software Architect |  Phone: 816.701.4881 | Children's
> Mercy Hospitals and Clinics <http://www.childrensmercy.org/>
>
>
>
>
>
> *From:* [email protected] [mailto:
> [email protected]] *On Behalf Of *Russ Waitman
> *Sent:* Wednesday, January 07, 2015 4:54 PM
> *To:* 'Thomas F Mish'; [email protected]
> *Subject:* RE: Due Monday, January 12th: Population characterization
> (parts A and B) for PCORNet LOI
>
>
>
> *Required Table to Accompany LOI for PCORnet Clinical Data Research
> Networks (CDRNs)*
>
> *This table (Parts A – C) must be completed for each CDRN applicant. For
> Parts A and B, provide the requested information by each site participating
> in the CDRN. Insert additional columns for participating site* *as
> needed.*
>
>
>
> *Part A: Population Overview*
>
> *Interpretation notes for KUMC discussion:*
>
> ·         For “active patients”, we applied the same criteria used to 
> characterize
> enrollment for PCORI milestone 1.1
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__informatics.gpcnetwork.org_trac_Project_ticket_97&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=4yAtU1tG4mQdMhBUIDcy8VFsURh2FuYNfN_vf2F26DY&e=>:
> “2 visits in the 3 years where the visits are separated by greater than 30
> days”.
>
> ·         For the number of patients covered by insurance plan, we
> counted patients that had had an insurance payer recorded in the EMR.  We
> don’t appear to have payer information for all patients in our system.
>
> ·         KUMC doesn’t have claims data as far as I know.
>
> ·         The count of patients with at least one visit encompasses all
> patients we pull in to our i2b2 system without restricting the types of
> encounter.
>
>
>
>
>
> KUMC
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Number of active patients with data in EMR
>
> 331,177
>
>
>
>
>
>
>
>
>
>
>
>
>
> Number of patients covered by insurance plan
>
> 234,556
>
>
>
>
>
>
>
>
>
>
>
>
>
> Number of patients for which both EMR and insurance claims data are
> available
>
> 0
>
>
>
>
>
>
>
>
>
>
>
>
>
> Count of distinct patients with at least one encounter or record in the
> system
>
> 2,077,184
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> *Part B: Insurance Coverage Overview*
>
> *Interpretation notes for KUMC discussion:*
>
> ·         We don’t seem to have payer information for everyone in the
> system.  The percentages below were calculated two different ways – both
> querying Clarity directly.  We don't know how to determine if the insurance
> is "group" coverage or individual.
>
> ·         Over all patients in the system (note that most are unknown)
>
> ·         Using the same method that we used for the original proposal –
> calculate percentages based on patients who have payer information recorded
> (parenthesis)
>
>
>
>
>
> KUMC
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Site Name
>
> Percent group
>
> Unknown
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent individual
>
> Unknown
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent commercial
>
> 5.38% (46.61%)
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent Medicaid
>
> 0.97% (8.41%)
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent Medicare
>
> 4.95% (42.88%)
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent other public payer
>
> 0.03% (0.28%)
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent self-pay or uninsured
>
> 0.01% (0.10%)
>
>
>
>
>
>
>
>
>
>
>
>
>
> Percent with unknown payer
>
> 88.47
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> *Part C. Data Description *
>
>
>
> 1.      Has the site data that will be queried been de-identified or
> obfuscated in any way? If yes, please describe the
> de-identification/obfuscation process.
>
> Yes.  KUMC uses the Safe Harbor definition and removes all 18 HIPAA
> Identifiers. Dates for every patient are shifted back in time by a random
> number of days between 0 and 365.  Patient IDs, encounter IDs, and Order
> numbers are replaced by a sequence number.  For patients over 90, their age
> is capped at 90 and their de-identified birth date is moved forward in time
> to match the capped age.  Identifiers such as name, address, phone number,
> etc. are removed.  Zip codes are reduced to a sufficiently non-specific
> "distance from KUMC" (radius) in 5-mile increments.
>
>
>
> For IRB approved studies we can link back to fully identified data.
>
>
>
> See also  approaches to securely de-identify and re-identify patient data
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__informatics.gpcnetwork.org_trac_Project_ticket_73&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=_GrEsCLFE2PVBsN8v1KScxvFel0NNbIqCxky_x5QxcE&e=>,
> De-identification Plan
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__informatics.gpcnetwork.org_trac_Project_wiki_DataSecurity-23De-2DidentificationPlan&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=n0xNZNMwu_K2NBsXbhPQl1nMT0ndPXbti6IAne8nCQM&e=>
> and KUMC De-Identification Strategy
> <https://informatics.kumc.edu/work/wiki/DeIdentificationStrategy>.
>
> 2.      Does the source data, (i.e., raw data from your legacy data
> systems) consist of data from multiple sources? If yes, please describe the
> sources and the combination process.
>
> All patients are from University of Kansas Medical Center and affiliated
> clinics.  EPIC EMR, KUH Cancer Registry (linked by MRN), GE IDX clinic
> billing system (linked by MRN), University HealthSystem Consortium (linked
> by MRN), Social Security Death Master File (linked by SSN/birth date), KUMC
> Biospecimen repository (linked on MRN).
>
> 3.      Does your network impose eligibility restrictions for inclusion
> in PCORnet, or otherwise have members, populations, or records that are
> intentionally and routinely excluded?
>
> GPC data agreement specifies: “Participants will not include alcohol and
> drug abuse patient records, or data derived from such records, that are
> maintained in connection with the performance of any federally assisted
> alcohol and drug abuse program which are protected from disclosure by 42
> C.F.R. Part 2, psychotherapy notes as defined by 45 C.F.R. § 164.501, or
> where otherwise protected by state or Federal law.”
>
> 4.      Is the patient identification number (i.e., medical record
> number) in the electronic health record consistent across time, or might a
> new identifier be generated for the same individual? If so, please explain
> the circumstances when a new patient identification number would be
> generated (e.g., change in insurance policy)?
>
> Yes for identified medical record number.  The de-identified patient
> identification number  may change every month when new data is loaded as
> part of the ETL process into i2b2 from the various sources.  The PCORI CDM
> tables are built from the de-identified i2b2 tables.
>
> 5.      What operating system(s) (e.g., Unix, Linux, Windows, Mac) is/are
> used at your site?
>
> Linux, Windows, Mac (LINUX for servers)
>
> 6.      What database system (e.g., Oracle, Postgres, MySQL, etc.) is
> used to host and extract the PCORnet data at your site?
>
> Oracle (i2b2, Epic EMR, CDM), PostgreSQL (cross-GPC terms-only i2b2),
> MySQL (REDCap).
>
> 7.      What SAS version and modules are available at your site?
>
> SAS v9.4 though use is mostly limited to the Statistics department.  In
> the medical informatics department, we primarily use R.
>
>
>
>
>
>
>
>
>
> *From:* [email protected] [
> mailto:[email protected]
> <[email protected]>] *On Behalf Of *Thomas F Mish
> *Sent:* Wednesday, January 07, 2015 4:54 PM
> *To:* [email protected]
> *Subject:* Re: Due Monday, January 12th: Population characterization
> (parts A and B) for PCORNet LOI
>
>
>
> On the GPC Global call (that's going on right now) Russ showed us KUMC's
> answers to Table C.  Is there any chance we could get a copy of KUMC's
> answers, I'd like to model mine after what Russ showed on the phone call a
> few minutes ago.
>
> -TM
>
>
>  On 1/7/2015 1:07 PM, Nadkarni, Prakash wrote:
>
> Maybe Debbie’s solution is OK – I don’t see any language in the template
> to the effect that the numbers must add up to 100 percent, and multiple
> insurance is a fact of life in the real world. A footnote to the effect
> that the numbers are > 100 because of multiple insurance per patient may
> resolve the issue.
>
>
>
> *From:* Nathan Graham [mailto:[email protected] <[email protected]>]
> *Sent:* Wednesday, January 07, 2015 12:02 PM
> *To:* 'Debbie Yoshihara'; [email protected]; Nadkarni, Prakash; '
> [email protected]' ([email protected]); '[email protected]' (
> [email protected]); Alex Bokov ([email protected]);
> Fothergill, Rita, R <[email protected]> <[email protected]> (
> [email protected]); 'Jason Lebsack ([email protected])' (
> [email protected]); Mish Thomas F ([email protected]);
> [email protected]; Justin Dale ([email protected])
> *Cc:* Steve Fennel
> *Subject:* RE: Due Monday, January 12th: Population characterization
> (parts A and B) for PCORNet LOI
>
>
>
> Debbie,
>
>
>
> That’s a good question – I somewhat arbitrarily picked one of the groups
> per patient (Oracle min() function on the ID number associated with the
> group).  Maybe that’s not a good approach - I’m open to other ideas.
>
>
>
> --
>
> Nathan
>
>
>
> *From:* Debbie Yoshihara [mailto:[email protected] <[email protected]>]
> *Sent:* Wednesday, January 07, 2015 10:56 AM
> *To:* Nathan Graham; [email protected]; '
> [email protected]' ([email protected]); '[email protected]'
> ([email protected]); '[email protected]' (
> [email protected]); Alex Bokov ([email protected]);
> Fothergill, Rita, R <[email protected]> ([email protected]); 'Jason
> Lebsack ([email protected])' ([email protected]); Mish
> Thomas F ([email protected]); [email protected]; Justin
> Dale ([email protected])
> *Cc:* Steve Fennel
> *Subject:* Re: Due Monday, January 12th: Population characterization
> (parts A and B) for PCORNet LOI
>
>
>
> Hi,
>
> When I do my query for Part B: Insurance Coverage Overview, there are
> patients (25%) which are in multiple
> groups: for example, Commercial and Medicare FFS.  How are other groups
> marking this?  I will get > 100%
> if I mark these individuals in both groups.  The effective date is the
> same, so I have no choice but to use both.
>
> --- Debbie
>
>
> On 1/7/2015 8:58 AM, Nathan Graham wrote:
>
> All,
>
>
>
> As we discussed in the GPC-dev call yesterday
> <http://listserv.kumc.edu/pipermail/gpc-dev/attachments/20150107/1a231dff/attachment-0001.pdf>,
> we’re working on PCORnet Phase 2
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.pcori.org_announcement_national-2Dpatient-2Dcentered-2Dclinical-2Dresearch-2Dnetwork-2Dclinical-2Ddata-2Dresearch-2Dnetworks&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=obyLzHGCVPcNuETdXgB2WjkEpaiWPpdLlNwkcyp-qyo&e=>
> letter of intent (LOI).  Much like the quarterly updates we’ve provided to
> PCORI, the LOI document template
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.pcori.org_sites_default_files_PCORI-2DPFA-2DCDRN-2DLOI-2DTemplate.doc&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=7LXJNRp5s6HFVw2AKeS1DFlUqPaIxxRlWFhgbtPjvBo&e=>
> has a couple of sections with tables devoted to population characteristics:
>
> ·         Part A: Population Overview
>
> ·         Part B: Insurance Coverage Overview
>
>
>
> Brittany sent out an e-mail to the site PIs on Friday (January 02, 2015)
> asking that each site fill in these sections (among others) by Tuesday,
> January 6th.  However, as per GPC-dev meeting notes for January 6, 2015
> <http://listserv.kumc.edu/pipermail/gpc-dev/attachments/20150107/1a231dff/attachment-0001.pdf>,
> *Dr. Waitman has extended the requested deadline to Monday January 12th*
> (for the tables in sections A and B at least).
>
>
>
> *Please let us know right away who from each site will be the primary
> contact for providing numbers for the tables in parts A and B*.  For the
> PCORI quarterly updates, I believe I got population numbers from the
> following people:
>
> ·         University of Iowa: *Prakash Nadkarni*
>
> ·         Medical College of Wisconsin: *Brad Taylor*
>
> ·         Marshfield Clinic: *Laurel Verhagen*
>
> ·         San Antonio: *Alex Bokov*
>
> ·         Children's Mercy Hospital: *Rita Fothergill*
>
> ·         University of Nebraska: *Jason Lebsack*
>
> ·         University of Wisconsin – Madison: *Tom Mish*
>
> ·         University of Texas Southwestern: *Phillip Reeder*
>
> ·         University of Minnesota: *Justin Dale*
>
>
>
> There’s been some discussion regarding what “Number of active patients
> with data in the EMR” means.  After talking with Dr. Waitman yesterday I
> plan to use the same method we used to characterize enrollment for PCORI
> milestone 1.1
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__informatics.gpcnetwork.org_trac_Project_ticket_97&d=AwMFAw&c=Zl2T6vaIOSZ-iGixmidu-Jjpn1CKtCl7U5wJPI4UCTc&r=ffcDtYvvAbHAzh4Sc5NJlakOuXA-_Nff7ehHq9G0034&m=8sgG5_tgMsrJdi4kPtoGLEy9cTUwkga5FjFsLwOGrYA&s=4yAtU1tG4mQdMhBUIDcy8VFsURh2FuYNfN_vf2F26DY&e=>
> :
>
>
>
> *“The GPC will use a refined definition of enrollment based upon the
> criteria we used in our proposal...2 visits in the 3 years where the visits
> are separated by greater than 30 days”*
>
>
>
> I also plan to use that number for “active patients” as the denominator
> for part B.
>
>
>
> Thanks for your help!
>
>
>
> Regards,
>
>
>
> Nathan
>
>
>
>
>
>  _______________________________________________
>
> Gpc-dev mailing list
>
> [email protected]
>
> http://listserv.kumc.edu/mailman/listinfo/gpc-dev
>
>
>
>
>
>  --
>
> Debbie Yoshihara Informatics Specialist
>
> SMPH-IT, Biomedical Informatics Services
>
> School of Medicine and Public Health, UW-Madison
>
> [email protected]
>
> Tel:(608)263-5643
>
>
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-- 
Regards,
Supreet Kathpalia
Clinical Data Analyst
Research Development & Support
AHC Information Systems, U of MN
Ph. 612.624.5848
[email protected]
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