Overuse of antidepressants in a nationally representative adult patient population in 2005

Sauver J, Rocca WA, Sutor B. Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population

The purpose of this study was to estimate the extent of potential antidepressant overprescribing in a geographically defined U.S. population, and to determine the indications and factors that account for it. We conducted a cohort study of new antidepressant prescriptions for elderly residents of Olmsted County, Minnesota, 2005-2012, using the Rochester Epidemiology Project medical records-linkage system. Indications for antidepressants were abstracted from health records for all cohort members. Potential antidepressant overprescribing was defined based on regulatory approval, the level of evidence identified from a standardized drug information database, and multidisciplinary expert review. Predictors of potential antidepressant overprescribing were investigated using logistic regression models, stratified by general antidepressant indication (general medical indication, specific psychiatric diagnosis, and non-specific psychiatric symptoms). Potential antidepressant overprescribing occurred in 24% of 3199 incident antidepressant prescriptions during the study period, and involved primarily newer antidepressants that were prescribed for non-specific psychiatric symptoms and subthreshold diagnoses. Potential antidepressant overprescribing was associated with nursing home residence, having a higher number of comorbid medical conditions and outpatient prescribers, taking more concomitant medications, having greater use of urgent or acute care services in the year preceding the index antidepressant prescription, and being prescribed antidepressants via telephone, e-mail, or patient portal. In conclusion, potential antidepressant overprescribing occurred in elderly persons and involved mainly newer antidepressants used for non-specific psychiatric symptoms and subthreshold diagnoses, and was associated with indicators of higher clinical complexity or severity and with prescribing without face-to-face patient contact.

Developing a formal representation for medication appropriateness criteria

Inappropriate medications use (IMU) is a serious issue of global concern that leads to a waste of resources and potentially harms the patients. IMU can usually be identified by extracting information about the patient's conditions and treatments, and comparing them with "medication appropriateness criteria". To enable automation of these criteria, we developed a formal representation for them, which we called Objective Medication Appropriateness Criteria (OMAC). OMAC represents four aspects of the criteria: trigger, rules, action and metadata. Our evaluation showed that OMAC can completely represent explicitly defined medication appropriateness criteria using links to external knowledge sources. OMAC is the first formal representation for medication appropriateness criteria, and will enable development of structured rules for appropriate use of medications that can be implemented using standards for clinical decision support.

An electronic health record driven algorithm to identify incident antidepressant medication users

OBJECTIVE

We validated an algorithm designed to identify new or prevalent users of antidepressant medications via population-based drug prescription records.

PATIENTS AND METHODS

We obtained population-based drug prescription records for the entire Olmsted County, Minnesota, population from 2011 to 2012 (N=149,629) using the existing electronic medical records linkage infrastructure of the Rochester Epidemiology Project (REP). We selected electronically a random sample of 200 new antidepressant users stratified by age and sex. The algorithm required the exclusion of antidepressant use in the 6 months preceding the date of the first qualifying antidepressant prescription (index date). Medical records were manually reviewed and adjudicated to calculate the positive predictive value (PPV). We also manually reviewed the records of a random sample of 200 antihistamine users who did not meet the case definition of new antidepressant user to estimate the negative predictive value (NPV).

RESULTS

161 of the 198 subjects electronically identified as new antidepressant users were confirmed by manual record review (PPV 81.3%). Restricting the definition of new users to subjects who were prescribed typical starting doses of each agent for treating major depression in non-geriatric adults resulted in an increase in the PPV (90.9%). Extending the time windows with no antidepressant use preceding the index date resulted in only modest increases in PPV. The manual abstraction of medical records of 200 antihistamine users yielded an NPV of 98.5%.

CONCLUSIONS

Our study confirms that REP prescription records can be used to identify prevalent and incident users of antidepressants in the Olmsted County, Minnesota, population.

Prescribing of psychiatric medication to bereaved parents following perinatal/neonatal death: an observational study

To examine psychiatric prescribing in response to perinatal/neonatal death, we analyzed data from a cross-sectional survey of 235 bereaved parents participating in an online support community. Of the 88 respondents prescribed medication, antidepressants were most common (n = 70, 79.5%) followed by benzodiazepines/sleep aids (n = 18, 20.5%). Many prescriptions were written shortly after the death (32.2% within 48 hr, 43.7% within a week, and 74.7% within a month). Obstetrician/gynecologists wrote most prescriptions given shortly after loss. Most respondents prescribed antidepressants took them long-term. This sample is select, but these data raise disturbing questions about prescribing practices for grieving parents.