Collaborative Methods Foster Better Data: Insights From a Suicide Data Linkage Project in North Carolina.
| Autor: | Geary S; State Center for Health Statistics (Mr Di Bona), and Chronic Disease and Injury Section, Injury and Violence Prevention Branch (Mr Proescholdbell, and Ms. Geary), Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina., Di Bona VL, Proescholdbell S |
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| Jazyk: | angličtina |
| Zdroj: | Journal of public health management and practice : JPHMP [J Public Health Manag Pract] 2022 Sep-Oct 01; Vol. 28 (5), pp. 448-451. Date of Electronic Publication: 2022 Apr 05. |
| DOI: | 10.1097/PHH.0000000000001527 |
| Abstrakt: | The linking of surveillance data sets has increasingly become an essential public health activity. We compared a traditional method in North Carolina (NC) with a newer collaborative approach when linking Hospital Discharge Data (HDD) and NC Violent Death Reporting System (NC-VDRS) data. We found the collaborative approach to be superior, enabling wider ownership combined with subject matter expertise the traditional method lacked. We used Link Plus and Match*Pro software for linkage, which had similar matching results. However, the collaborative process using Match*Pro resulted in fewer matches requiring review and enabled better case adjudication and collaboration between partners. Of the 1361 unique suicides that matched to HDD, 44% (n = 599) had multiple prior hospitalizations. Public health needs to innovate and enable partners to foster solutions when traditional methods are dated and result in less reliable data. The process outlined builds consensus, increases trust, and ultimately saves time. Competing Interests: The authors have indicated that they have no potential conflicts of interest to disclose. (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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