Evidence map›Paper›PMID 30693088›Full record

ArticlePharmacology research & perspectives2019

Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population.

William V Bobo, Brandon R Grossardt, Maria I Lapid, Jonathan G Leung, Cynthia Stoppel, Paul Y Takahashi, Robert W Hoel, Zheng Chang, Christian Lachner, Mohit Chauhan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Pharmacology research & perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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  5. Serotonin Syndrome/Serotonin Toxicity.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 2 countries.

William V BoboDepartment of Psychiatry & Psychology Mayo Clinic Jacksonville Florida.ORCID 0000-0002-5674-3079
Brandon R GrossardtDivision of Biomedical Statistics and Informatics Department of Health Sciences Research Mayo Clinic Rochester Minnesota.
Maria I LapidDepartment of Psychiatry & Psychology Mayo Clinic Rochester Minnesota.
Jonathan G LeungDepartment of Pharmacy Services Mayo Clinic Rochester Minnesota.
Cynthia StoppelDepartment of Psychiatry & Psychology Mayo Clinic Rochester Minnesota.
Paul Y TakahashiDepartment of Primary Care Internal Medicine Mayo Clinic Rochester Minnesota.
Robert W HoelDepartment of Pharmacy Services Mayo Clinic Rochester Minnesota.
Zheng ChangDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Christian LachnerDepartment of Psychiatry & Psychology Mayo Clinic Jacksonville Florida.
Mohit ChauhanDepartment of Psychiatry & Psychology Mayo Clinic Jacksonville Florida.
Lee FlowersDepartment of Psychiatry & Psychology Mayo Clinic Rochester Minnesota.
Scott M BrueBiomedical Informatics Support System Mayo Clinic Rochester Minnesota.
Mark A FryeDepartment of Psychiatry & Psychology Mayo Clinic Rochester Minnesota.
Jennifer St SauverDivision of Epidemiology Department of Health Sciences Research Mayo Clinic Rochester Minnesota.
Walter A RoccaDivision of Epidemiology Department of Health Sciences Research Mayo Clinic Rochester Minnesota.
Bruce SutorDepartment of Psychiatry & Psychology Mayo Clinic Rochester Minnesota.
Mayo Clinic · USJacksonville College · USMayo Clinic in Florida · USKarolinska Institutet · SE

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Multiple Chronic Conditions and AgingR01AG052425 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2017 to 2021
$3.3M
NCATS NIH HHS UL1 TR002377NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG052425
6 · The paper itself

Abstract

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.

Indexed as

AgedAged, 80 and overAntidepressive AgentsDrug PrescriptionsFemaleHumansMaleMinnesotaNursing HomesAntidepressive Agentsantidepressantscohort studyelderlyoveruseprescribing

Identifiers

PMID30693088
PMCPMC6344796
OpenAlexW2913422216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.