دورية أكاديمية
Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model.
| العنوان: | Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model. |
|---|---|
| المؤلفون: | Nasuti L; National Association of Chronic Disease Directors, Decatur, USA., Andrews B; National Association of Chronic Disease Directors, Decatur, USA., Li W; Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, USA., Wiltz J; Office of the Director, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, USA., Hohman KH; National Association of Chronic Disease Directors, Decatur, USA., Patanian M; National Association of Chronic Disease Directors, Decatur, USA. |
| المصدر: | Chronic illness [Chronic Illn] 2023 Sep; Vol. 19 (3), pp. 675-680. Date of Electronic Publication: 2022 May 03. |
| نوع المنشور: | Journal Article; Research Support, U.S. Gov't, P.H.S. |
| اللغة: | English |
| بيانات الدورية: | Publisher: Sage Publications Country of Publication: United States NLM ID: 101253019 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-9206 (Electronic) Linking ISSN: 17423953 NLM ISO Abbreviation: Chronic Illn Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2007- : Thousand Oaks, Calif. : Sage Publications Original Publication: Leeds, U.K. ; Cambridge, MA : Maney, c2005- |
| مواضيع طبية MeSH: | Chronic Disease Indicators* , Population Surveillance*/methods, Humans ; Latent Class Analysis ; Chronic Disease |
| مستخلص: | The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis (LCA) and grouped states by similarities in socioeconomics, demographics, chronic disease and behavioral risk factor prevalence, health outcomes, and health insurance coverage. Three latent classes of states were identified, which inform the recruitment of additional partner sites in conjunction with additional factors (e.g. partner site capacity and data availability, information technology infrastructure). This methodology can be used to inform other public health surveillance modernization efforts that leverage timely EHR data to address gaps, use existing technology, and advance surveillance. |
| References: | MMWR Recomm Rep. 2001 Jul 27;50(RR-13):1-35; quiz CE1-7. (PMID: 18634202) Am J Public Health. 2014 Dec;104(12):2265-70. (PMID: 25322301) Prev Chronic Dis. 2014 Feb 13;11:E21. (PMID: 24524425) Diabetes Care. 2004 Sep;27(9):2154-60. (PMID: 15333477) N Engl J Med. 2010 Dec 30;363(27):2611-20. (PMID: 21190455) Prev Med. 2015 Apr;73:139-44. (PMID: 25602912) Annu Rev Public Health. 2015 Mar 18;36:345-59. (PMID: 25581157) Vital Health Stat 2. 2020 Apr;(184):1-35. (PMID: 33663649) |
| معلومات مُعتمدة: | CC999999 United States ImCDC Intramural CDC HHS; NU38OT000286 United States OT OSTLTS CDC HHS |
| فهرسة مساهمة: | Keywords: Chronic disease; electronic health record; health information technology; surveillance |
| تواريخ الأحداث: | Date Created: 20220504 Date Completed: 20230922 Latest Revision: 20240222 |
| رمز التحديث: | 20240222 |
| مُعرف محوري في PubMed: | PMC10515457 |
| DOI: | 10.1177/17423953221099043 |
| PMID: | 35505590 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1745-9206 |
|---|---|
| DOI: | 10.1177/17423953221099043 |