Merging statewide data in a public/university collaboration to address opioid use disorder and overdose
Abstract Objective Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut. Methods A multidisciplinary team of university, state and federal agen...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-01-01
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| Series: | Addiction Science & Clinical Practice |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13722-020-00211-9 |
| _version_ | 1818613543090520064 |
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| author | William C. Becker Robert Heimer Catherine M. Dormitzer Molly Doernberg Gail D’Onofrio Lauretta E. Grau Kathryn Hawk Hsiu-Ju Lin Alex M. Secora David A. Fiellin |
| author_facet | William C. Becker Robert Heimer Catherine M. Dormitzer Molly Doernberg Gail D’Onofrio Lauretta E. Grau Kathryn Hawk Hsiu-Ju Lin Alex M. Secora David A. Fiellin |
| author_sort | William C. Becker |
| collection | DOAJ |
| description | Abstract Objective Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut. Methods A multidisciplinary team of university, state and federal agency experts planned steps to build the data analytic system: stakeholder engagement, articulation of metrics, funding to establish the system, determination of needed data, accessing data and merging, and matching patient-level data. Results Stakeholder meetings occurred over a 6-month period driving selection of metrics and funding was obtained through a grant from the Food and Drug Administration. Through multi-stakeholder collaborations and memoranda of understanding, we identified relevant data sources, merged them and matched individuals across the merged dataset. The dataset contains information on sociodemographics, treatments and outcomes. Step-by-step processes are presented for dissemination. Conclusions Creation of a unified database linking multiple sources in a timely and ongoing fashion may assist other states to monitor the public health impact of controlled substances, identify and implement interventions, and assess their effectiveness. |
| first_indexed | 2024-12-16T16:03:47Z |
| format | Article |
| id | doaj.art-d6312fdbc2f64d85975693a688aa52e1 |
| institution | Directory Open Access Journal |
| issn | 1940-0640 |
| language | English |
| last_indexed | 2024-12-16T16:03:47Z |
| publishDate | 2021-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Addiction Science & Clinical Practice |
| spelling | doaj.art-d6312fdbc2f64d85975693a688aa52e12022-12-21T22:25:25ZengBMCAddiction Science & Clinical Practice1940-06402021-01-011611710.1186/s13722-020-00211-9Merging statewide data in a public/university collaboration to address opioid use disorder and overdoseWilliam C. Becker0Robert Heimer1Catherine M. Dormitzer2Molly Doernberg3Gail D’Onofrio4Lauretta E. Grau5Kathryn Hawk6Hsiu-Ju Lin7Alex M. Secora8David A. Fiellin9Yale School of MedicineYale School of Public HealthU.S. Food and Drug AdministrationYale School of Public HealthYale School of MedicineYale School of Public HealthYale School of MedicineUniversity of Connecticut School of Social WorkU.S. Food and Drug AdministrationYale School of MedicineAbstract Objective Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut. Methods A multidisciplinary team of university, state and federal agency experts planned steps to build the data analytic system: stakeholder engagement, articulation of metrics, funding to establish the system, determination of needed data, accessing data and merging, and matching patient-level data. Results Stakeholder meetings occurred over a 6-month period driving selection of metrics and funding was obtained through a grant from the Food and Drug Administration. Through multi-stakeholder collaborations and memoranda of understanding, we identified relevant data sources, merged them and matched individuals across the merged dataset. The dataset contains information on sociodemographics, treatments and outcomes. Step-by-step processes are presented for dissemination. Conclusions Creation of a unified database linking multiple sources in a timely and ongoing fashion may assist other states to monitor the public health impact of controlled substances, identify and implement interventions, and assess their effectiveness.https://doi.org/10.1186/s13722-020-00211-9Opioid overdoseSurveillanceInformaticsOpioid use disorder |
| spellingShingle | William C. Becker Robert Heimer Catherine M. Dormitzer Molly Doernberg Gail D’Onofrio Lauretta E. Grau Kathryn Hawk Hsiu-Ju Lin Alex M. Secora David A. Fiellin Merging statewide data in a public/university collaboration to address opioid use disorder and overdose Addiction Science & Clinical Practice Opioid overdose Surveillance Informatics Opioid use disorder |
| title | Merging statewide data in a public/university collaboration to address opioid use disorder and overdose |
| title_full | Merging statewide data in a public/university collaboration to address opioid use disorder and overdose |
| title_fullStr | Merging statewide data in a public/university collaboration to address opioid use disorder and overdose |
| title_full_unstemmed | Merging statewide data in a public/university collaboration to address opioid use disorder and overdose |
| title_short | Merging statewide data in a public/university collaboration to address opioid use disorder and overdose |
| title_sort | merging statewide data in a public university collaboration to address opioid use disorder and overdose |
| topic | Opioid overdose Surveillance Informatics Opioid use disorder |
| url | https://doi.org/10.1186/s13722-020-00211-9 |
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