TY - JOUR
T1 - Elder abuse and mistreatment
T2 - results from medicare claims data
AU - Mouton, Charles P.
AU - Haas, Allen
AU - Karmarkar, Amol
AU - Kuo, Yong Fang
AU - Ottenbacher, Kenneth
N1 - Publisher Copyright:
© 2019, © 2019 Taylor & Francis.
PY - 2019/10/20
Y1 - 2019/10/20
N2 - Elder abuse and mistreatment (EM) continues to be a growing problem as the US population ages. Despite the growth, detection of EM continues to lag. However, Medicare claims data and the electronic health record might provide an opportunity to encourage better detection. We evaluated Medicare claims data from 2012–2014 for beneficiaries who had a diagnostic code for EM discharged from any types of facility. We extracted records for 10,181 individuals examining demographic characteristics, residential characteristics, residential location, type of facility providing care, disease co-morbidities, and disability-related conditions. Of our sample, most were female (65.1%), white (78.8%), over 75 years of age (52.6%), and from an urban setting (85.2%). While the greatest number were discharged from acute care settings, almost one-third were hospitalized in psychiatric hospitals (34.6%). Mood disorders (27.5%) and dementia (14.2%) were the most common primary diagnoses. Hypertension (67.7%), depression (44.6%), fluid and electrolyte disorder (43.6%), and cardiac arrhythmia (28.2%) were the most common co-morbidities. In Medicare claims data, we found unique features and co-morbidities associated with EM. These findings could be used to develop a clinical algorithm predictive of older adults requiring screening for EM.
AB - Elder abuse and mistreatment (EM) continues to be a growing problem as the US population ages. Despite the growth, detection of EM continues to lag. However, Medicare claims data and the electronic health record might provide an opportunity to encourage better detection. We evaluated Medicare claims data from 2012–2014 for beneficiaries who had a diagnostic code for EM discharged from any types of facility. We extracted records for 10,181 individuals examining demographic characteristics, residential characteristics, residential location, type of facility providing care, disease co-morbidities, and disability-related conditions. Of our sample, most were female (65.1%), white (78.8%), over 75 years of age (52.6%), and from an urban setting (85.2%). While the greatest number were discharged from acute care settings, almost one-third were hospitalized in psychiatric hospitals (34.6%). Mood disorders (27.5%) and dementia (14.2%) were the most common primary diagnoses. Hypertension (67.7%), depression (44.6%), fluid and electrolyte disorder (43.6%), and cardiac arrhythmia (28.2%) were the most common co-morbidities. In Medicare claims data, we found unique features and co-morbidities associated with EM. These findings could be used to develop a clinical algorithm predictive of older adults requiring screening for EM.
KW - Elder abuse
KW - co-morbidity
KW - medicare
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U2 - 10.1080/08946566.2019.1678544
DO - 10.1080/08946566.2019.1678544
M3 - Article
C2 - 31631814
AN - SCOPUS:85074552222
SN - 0894-6566
VL - 31
SP - 263
EP - 280
JO - Journal of Elder Abuse and Neglect
JF - Journal of Elder Abuse and Neglect
IS - 4-5
ER -