TY - JOUR
T1 - Risk of hospitalization due to medication nonadherence identified through EMRs of patients with psychosis
AU - Andrews, Carrie E.
AU - Baker, Krista
AU - Howell, Carolyn J.
AU - Cuerdo, Arlene
AU - Roberts, Jamie A.
AU - Chaudhary, Abdullah
AU - Lechich, Stephanie
AU - Nucifora, Leslie G.
AU - Vaidya, Dhananjay
AU - Mojtabai, Ramin
AU - Margolis, Russell L.
AU - Sawa, Akira
AU - Nucifora, Frederick C.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Objective: This study examined whether outpatients with a psychotic disorder who are at risk of hospitalization can be identified by using data fromelectronicmedical records (EMRs). Methods: Data from EMRs of outpatients enrolled in two clinics for treatment of psychotic disorders were abstracted. Monthly data were collected for 75 patients over two years. The study examined the association of medication nonadherence, substance use, participation in psychiatric rehabilitation, and long-acting injectable antipsychotic use in any given month with the risk of hospitalization in the subsequent month by using generalized estimating equations. Results: The only variable found to increase the relative risk of future hospitalization was recorded medication nonadherence (adjusted relative risk=7.19, p<001). Conclusions: Results suggest that recording medication nonadherence in EMRs is feasible and that these data may be used to identify patients at high risk of future hospitalization, who may require more intensive intervention.
AB - Objective: This study examined whether outpatients with a psychotic disorder who are at risk of hospitalization can be identified by using data fromelectronicmedical records (EMRs). Methods: Data from EMRs of outpatients enrolled in two clinics for treatment of psychotic disorders were abstracted. Monthly data were collected for 75 patients over two years. The study examined the association of medication nonadherence, substance use, participation in psychiatric rehabilitation, and long-acting injectable antipsychotic use in any given month with the risk of hospitalization in the subsequent month by using generalized estimating equations. Results: The only variable found to increase the relative risk of future hospitalization was recorded medication nonadherence (adjusted relative risk=7.19, p<001). Conclusions: Results suggest that recording medication nonadherence in EMRs is feasible and that these data may be used to identify patients at high risk of future hospitalization, who may require more intensive intervention.
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UR - http://www.scopus.com/inward/citedby.url?scp=85026663478&partnerID=8YFLogxK
U2 - 10.1176/appi.ps.201600334
DO - 10.1176/appi.ps.201600334
M3 - Article
C2 - 28366115
AN - SCOPUS:85026663478
SN - 1075-2730
VL - 68
SP - 847
EP - 850
JO - Psychiatric Services
JF - Psychiatric Services
IS - 8
ER -