LEADER 02804cmm a22003737i 4500001    99125496157206421
006    m#####o##d########
007    cr#mn######a#a
008    220504s2022    miu     o     001 0 eng d
035    (MiAaI)ICPSR37245
040    MiAaI |beng |erda |cMiAaI
099    Electronic Resource
245 00 Development of a Brief Elder Abuse and Neglect Screening Tool for Emergency Medical Services : |bDetection of Elder Abuse Through Emergency Care Technicians (DETECT), Texas, 2015 / |cSumihiro Suzuki.
250    2022-04-14
264  1 Ann Arbor, Mich. : |bInter-university Consortium for Political and Social Research [distributor], |c2022
300    1 online resource.
336    computer dataset |bcod |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
347    data file |2rda
490 0  ICPSR |v37245
516    Numeric
500    Title from ICPSR DDI metadata of 2022-05-04.
536    United States Department of Justice. Office of Justice Programs. National Institute of Justice |c2014-MU-CX-0102
530    Also available as downloadable files.
522    Texas
522    United States
520 3  In collaboration with Texas Adult Protective Services (APS) and one of the largest mobile healthcare providers in North Texas -- MedStarMobile Healthcare (MedStar) -- this study developed and piloted an elder abuse (EA) screening tool: Detection of Elder Abuse Through Emergency Care Technicians (DETECT). The DETECT tool was designed specifically to help medics identify potential EA among community-dwelling older adults during an emergency response. DETECT relies entirely on the medics' systematic observations of the older adults' physical and social environment -- no direct questioning of the older adult or their caregivers is involved. The DETECT tool was developed through an iterative, user-centered design process in which input was gathered from key stakeholders, and revisions to the tool incorporated their feedback. The intent was for that process to result in an EA screening tool that was easy for medics to use in the field and that helped medics capture information about older adults, their environments, and their caregivers that is thought to be associated with the occurrence of EA.Cf: http://doi.org/10.3886/ICPSR37245.v1
567    Community-dwelling residents 65 years of age or older in Fort Worth, Texas and surrounding communities.
700 1  Suzuki, Sumihiro |uUniversity of North Texas. Health Science Center at Fort Worth, |eeditor.
710 2  Inter-university Consortium for Political and Social Research. |0http://id.loc.gov/authorities/names/n79141035
830  0 ICPSR (Series) |v37245