Using administrative data from adult protective services: opportunities and considerations.
As federal agencies support the development of data systems for adult protective services (APS), researchers and practitioners are increasingly using administrative data to study types of adult maltreatment, including self-neglect, and the systems that respond to them. To date, however, APS has work...
| Publicado en: | Journal of Elder Abuse & Neglect Vol. 34; no. 1; pp. 77 - 93 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan/Feb 2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154955883&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154955883 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08946566 EAN jtl: Journal of Elder Abuse & Neglect issn: 08946566 maglogo: N pubinfo: dt: Jan/Feb 2022 vid: 34 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 154955883 154697150 10.1080/08946566.2021.2020700 154955883 ppf: 77 ppct: 16 formats: tig: atl: Using administrative data from adult protective services: opportunities and considerations. aug: au: Steinman, Kenneth J. Liu, Pi-Ju Anetzberger, Georgia Pettey Rockwood, Alyssa Teferra, Andreas Ejaz, Farida Kassim affil: College of Education and Human Ecology, The Ohio State University, Columbus, Ohio USA sug: subj: Elder Abuse Prevention and Control Resource Databases Data Management Database Management Software Quality Assessment Quality Assurance Self Neglect ab: As federal agencies support the development of data systems for adult protective services (APS), researchers and practitioners are increasingly using administrative data to study types of adult maltreatment, including self-neglect, and the systems that respond to them. To date, however, APS has worked with little guidance about how best to use these data. This situation has contributed to inconsistent findings and uneven quality of research. Based on the authors' experience in multiple states and using examples from research and practice, this paper reviews practical considerations related to organizing and analyzing APS administrative data. We address concerns related to time-limited, erroneous, and missing data, as well as defining metrics and accounting for the multilevel structure of data with repeated observations. Reviewing these methodological details can help APS practitioners strengthen quality assurance processes and improve research in this important area. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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