@article {Gunzler:2017:1087-3244:810,
title = "Clinic Appointment Attendance in Adults with Serious Mental Illness and Diabetes",
journal = "American Journal of Health Behavior",
parent_itemid = "infobike://png/ajhb",
publishercode ="png",
year = "2017",
volume = "41",
number = "6",
publication date ="2017-11-01T00:00:00",
pages = "810-821",
itemtype = "ARTICLE",
issn = "1087-3244",
eissn = "1945-7359",
url = "https://www.ingentaconnect.com/content/png/ajhb/2017/00000041/00000006/art00015",
doi = "doi:10.5993/AJHB.41.6.15",
keyword = "VISIT ADHERENCE, DIABETES, SERIOUS MENTAL ILLNESS, GENERALIZED ESTIMATING EQUATIONS",
author = "Gunzler, Douglas D. and Morris, Nathan and Dalton, Jarrod E. and McCormick, Richard and Dawson, Neal V. and Thomas, Charles and Kanuch, Stephanie and Cassidy, Kristin A. and Athey, Melanie and Fuentes-Casiano, Edna and Lawless, Mary Ellen and Martin, Siobhan and Einstadter, Douglas and Sajatovic, Martha",
abstract = "
Objectives: We assessed characteristics that may predict outpatient appointment attendance in outpatient medical clinics among patients comorbid for serious mental illness (SMI) and type 2 diabetes (DM). Methods: Baseline covariate data from 200 individuals with SMI-DM
enrolled in a randomized controlled trial (RCT) were used to examine characteristics associated with electronic health record-identified clinic appointment attendance using a generalized estimating equations approach. The analyses evaluated the relationship between clinic attendance and potentially
modifiable factors including disease knowledge, self-efficacy, social support, physical health, and mental health, as well as demographic information. Results: Demographic and mental health characteristics were most associated with clinic attendance in adults with SMI-DM. Physical health
was not associated with clinic attendance. Conclusions: Information on clinical and demographic characteristics and factors potentially modifiable by psychological interventions may be useful in improving adherence to treatment among SMI-DM patients. It is our hope that clinicians and
researchers will use these results to help tailor adherence-facilitating interventions among people at particular risk for poor engagement in care.",
}