TY - JOUR
T1 - Electronic linkage and interrogation of administrative health, social care, and criminal justice datasets
T2 - feasibility concerning process and content
AU - Higgins, Cassie
AU - Matthews, Keith
N1 - Funded by the Scottish Government
PY - 2020/7/24
Y1 - 2020/7/24
N2 - The objective was to test the feasibility of a novel model of electronic linkage and interrogation of large, sensitive, administrative datasets derived from health care, social care, and criminal justice. Participants comprised all individuals having completed suicide or drug-related death in Tayside between 2009 and 2014. Data were hosted, linked, and pseudo-anonymized by a Trusted Third Party and were interrogated via secure access to the HIC Scottish Government-certified Safe Haven. Several barriers were encountered concerning data access, with all but one issue (obtaining criminal justice data) ultimately soluble. However, each barrier led to a substantial delay in either obtaining the required approvals or in receiving the specified data extracts. Generally, data coverage was good but data quality was poor, with almost a fifth of the data fields (17%) being less than 10% complete. The feasibility of this novel approach was demonstrated. Critically, this was achieved because of the central involvement of a Trusted Third Party and the use of a Government-certified Safe Haven. Future studies using a similar model of data acquisition and analysis should consider the potential delays resulting from organizations’ lack of familiarity with their data-sharing protocols and procedures.
AB - The objective was to test the feasibility of a novel model of electronic linkage and interrogation of large, sensitive, administrative datasets derived from health care, social care, and criminal justice. Participants comprised all individuals having completed suicide or drug-related death in Tayside between 2009 and 2014. Data were hosted, linked, and pseudo-anonymized by a Trusted Third Party and were interrogated via secure access to the HIC Scottish Government-certified Safe Haven. Several barriers were encountered concerning data access, with all but one issue (obtaining criminal justice data) ultimately soluble. However, each barrier led to a substantial delay in either obtaining the required approvals or in receiving the specified data extracts. Generally, data coverage was good but data quality was poor, with almost a fifth of the data fields (17%) being less than 10% complete. The feasibility of this novel approach was demonstrated. Critically, this was achieved because of the central involvement of a Trusted Third Party and the use of a Government-certified Safe Haven. Future studies using a similar model of data acquisition and analysis should consider the potential delays resulting from organizations’ lack of familiarity with their data-sharing protocols and procedures.
KW - Health informatics
KW - data governance
KW - electronic data linkage
KW - safe haven
UR - http://www.scopus.com/inward/record.url?scp=85088505816&partnerID=8YFLogxK
U2 - 10.1080/17538157.2020.1793346
DO - 10.1080/17538157.2020.1793346
M3 - Article
C2 - 32706275
JO - Informatics for Health and Social Care
JF - Informatics for Health and Social Care
SN - 1753-8157
ER -