Sociological influences on antidepressant prescribing
Section snippets
Background
The use of antidepressants in the United States is an increasingly important issue. Antidepressant use increased by 73.4 percent between 1990 and 1995 according to national estimates, with the majority of the increase seen in the use of selective serotonin reuptake inhibitors (SSRIs) (Pincus et al., 1998). This trend is also being seen in other industrialized countries such as the United Kingdom (Martin, Hilton, Kerry, & Richards, 1997). The SSRIs have been found to be as efficacious for
Data and strategy
The 1998 National Ambulatory Medical Care Survey (NAMCS) was used to examine the treatment patterns of depressed patients in ambulatory settings. The NAMCS is a national probability sample administered by the Division of Health Care Statistics, National Center for Health Statistics (NCHS), Center for Disease Control and Prevention (CDC). It is a survey of office-based physician practices evaluating patient office visits. Visits with federally employed physicians, visits occurring outside of an
Results
Table 1 presents the descriptive statistics of the adults being seen for depression. Sixty-seven percent of the visits were female patients and close to 86 percent were non-Hispanic white. Approximately 50 percent of the depression-related ambulatory outpatient visits had private insurance as the primary payer and 29 percent of visits belonged to a health maintenance organization. Sixty-seven percent of patients received antidepressant medications during their visits. Close to 39 percent
Discussion
Our analyses indicated that Eisenberg (1979) was correct in that physician prescribing of antidepressants was influenced by four main factors: patient characteristics, physician characteristics, the physician's interaction with the health care system, and the physician's relationship with the patient. In terms of patient characteristics, a predictor of whether patients received an antidepressant prescription was whether patients were self-paying versus whether they had private insurance.
Acknowledgements
This research was supported in part by a grant from the National Institute of Mental Health (R29 MH 56210).
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