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Predictors of Treatments Acceptable to Patients for Late-Life Depression
The Scientific World Journal
  • Gerald J. Jogerst, University of Iowa
  • Shimin Zheng, East Tennessee State University
  • Erik Vanderlip, University of Iowa
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Objectives. Describe older patients’ perceptions about depression and characteristics associated with acceptance of treatments. Design. Cross-sectional study. Setting. Three primary care clinics in Iowa. Participants. Consecutive sample of 529 primary care patients. Measurements. Depression screening tool (a 9-item patient health questionnaire [PHQ-9]) and questionnaire including sociodemographic data, patient attitudes about depression, and acceptability of different treatments. Results. Mean age was 71.9 years (range 60–93 years), 314 (59%) female. Among the 529 participants, 93 (17.5%) had history of depression and 60 (11.3%) had PHQ-9 scores of 10 or greater. Participants believed depression is a disease for which they would use medication and counseling. Accepting medications from primary physicians was strongly associated with a past history of depression (P < 0.01) and with agreeing that depression needs treatment (P < 0.01). Counseling was not acceptable for those believing that they can control depression on their own (P < 0.01). Older patients (P < 0.001) and those with higher education levels (P < 0.01) were less likely to accept herbs or supplements as treatment options. Willingness to discuss treatments with family was associated with not using alcohol as a treatment and acceptance of all other treatment options (P < 0.001). Conclusions. Attitude that depression is a disease and the willingness to discuss depression with family may enhance treatment acceptance.
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Copyright © 2013 Gerald J. Jogerst et al. This document was originally published in The Scientific World Journal.

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Citation Information
Gerald J. Jogerst, Shimin Zheng and Erik Vanderlip. "Predictors of Treatments Acceptable to Patients for Late-Life Depression" The Scientific World Journal Vol. 2013 (2013) p. 207493 ISSN: 1537-744X
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