Turning Junk Data into Value Yukiko Yoneoka, MS UDOH Public Health Informatics Brown Bag July 22, 2009 Using 9-digit Mixed Identifiers to Enhance Linkage.

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Presentation transcript:

Turning Junk Data into Value Yukiko Yoneoka, MS UDOH Public Health Informatics Brown Bag July 22, 2009 Using 9-digit Mixed Identifiers to Enhance Linkage Results for Utah Controlled Substance Database Yukiko Yoneoka, MS, Wu Xu, PhD, Zhiwei Liu, MS, Brian Sauer, PhD, Robert Rolfs, MD [A poster presented at the AMIA Spring Conference, May 2009]

Public Health Problem In the past seven years, the state of Utah has experienced increasing numbers of unintentional deaths due to prescription pain medication overdoses.

Controlled Substance Database (CSDB) Pharmacies submit controlled substance dispensing records with patient information to the CSDB without strict data standards. As a result, considerable variability is found in required patient information fields.

Challenge: Customer ID Since standardization is not enforced for the customer ID field, it contains different types of IDs such as pharmacy specific ID, SSN, drivers license number, passport number, phone number, names and other text. This inconsistency makes it challenging for researchers to accurately construct patient-centered prescription records across pharmacy records.

Objective The purpose of this study was to salvage and utilize all 9-digit ID numbers from the ID variable. We then examined how adding the 9-digit mixed ID as a linkage variable affected linkage results.

Data CSDB contained 9,342,994 prescription records. Of those, 6,212 records (0.07%) from veterinarian or other non medical prescribers were excluded from analysis. A total of 9,336,782 prescription records were used.

The 9-digit Mixed ID The 9-digit mixed ID was populated with customer ID content, using: 1) Length of 9 after stripping off attached characters (e.g., SSN, SS#, UTDL, UDL); 2) Drivers license number validation by an algorithm that assigns Utah 9-digit drivers license numbers (9, 8, 7, 6, 5, 4, 3, 2, 1) (d1, d2, d3, d4, d5, d6, d7, d8, d9) ≡0mod10; and, 3) Valid range of first 3 digits of SSN.

Distribution of 9-digit ID About 35.5% (3,313,731) of all prescription records carried some type of 9-digit ID. Of those: SSN 1,108,388 (33.4%) UTDL 1,070,071 (32.3%) Other 1,135,272 (34.3%)

Linkage The Link King© v.7, a free SAS based linkage software, was used on a platform of SAS v Variables used for linkage were: First, middle and last names; date of birth (DOB); gender; zip code; and, 9-digit mixed ID. The data was linked first with the 9-digit mixed ID then without. The results were compared based on The Link King’s result reports.

About 13% of all matches were found by 9-digit mixed ID match alone Major blocking criteria by the Link King With 9-digit Mixed IDWithout 9-digit Mixed ID 9-digit Mixed ID only 60,031 (12.5%) N/A Last Name & DOB 407,105 (85%)46,4732 (97.2%) First, Middle and Last Names only 7,879 (1.7%) 9,613 (2%) First Name & DOB 1,941 (0.4%) 1,934 (0.4%) First and Last Names & Birth Year 1,028 (0.2%) 990 (0.2%) First and Last Names & Birth Month 575 (0.1%) 565 (0.1%)

About 20% more matched pairs were found with highest possible level of certainty by using 9-digit mixed IDs.

About 14% more matches were found by both deterministic and probabilistic linking methods and 7% more by probabilistic method by using 9-digit mixed IDs. Without, it heavily depended on deterministic method only.

Conclusion Retrieving 9-digit IDs from a mix of data collected in a customer ID field would be a worthwhile practice, considering the enhanced quality of the linkage results.

Acknowledgements This study is supported by CDC Grant No. P01 CD , P.I. Matthew Samore, Utah Research Center for Excellence in Public Health Informatics. Many thanks to Nancy McConnell for her valuable suggestions.

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