Evidence map›Paper›PMID 23432790›Full record

ArticleBMC geriatrics2013

Psychotropic drug initiation or increased dosage and the acute risk of falls: a prospective cohort study of nursing home residents.

Murray A Echt, Elizabeth J Samelson, Marian T Hannan, Alyssa B Dufour, Sarah D Berry

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
15.5field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Cause or Effect? Selective Serotonin Reuptake Inhibitors and Falls in Older Adults: A Systematic Review.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2015
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hyponatremia and hypokalemia as risk factors for falls.European journal of clinical nutrition · 2015
    Article
  9. Article
  10. Review
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

5 authors at 2 institutions in 1 country.

Murray A EchtInstitute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA 02131, USA.
Elizabeth J Samelson
Marian T Hannan
Alyssa B Dufour
Sarah D Berry
Hebrew SeniorLife · USHarvard University · US

Funding

Translational Researchin Aging Trainnig ProgramT32AG023480 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS · 2004 to 2024
$7.6M
Greater Boston Medical Student Training in Aging ResearchT35AG038027 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DRIVER, JANE A, MCLAUGHLIN-GAVIN, CARA · 2010 to 2024
$991k
Medications as Acute Precipitants of Falls in the Nursing Home SettingK23AG033204 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI BERRY, SARAH DYER · 2010 to 2013
$504k
Volumetric Bone Density and Vascular Calcification: The Framingham QCT StudyK01AR053118 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI SAMELSON, ELIZABETH J · 2007 to 2011
$481k
NIAMS NIH HHS K01 AR053118NIA NIH HHS K23 AG033204NIA NIH HHS T32 AG023480NIA NIH HHS T35 AG038027NIA NIH HHS T35AG038027
6 · The paper itself

Abstract

backgroundPrevious studies suggest that psychotropic drug changes may signal an acute period of time whereby a person is highly vulnerable to fall. It is unknown whether certain classes of psychotropic agents are less safe with respect to the acute risk of falls. Our purpose was to compare fall rates in the 7 days following a change of an antidepressant, antipsychotic, or benzodiazepine. We also identified specific times when residents are at high risk for falls with respect to a psychotropic drug change.

methodsResidents in our one-year study included 851 long term care residents from two nursing home facilities in Boston, MA, U.S.A. (May 2010 - May 2011). Drug changes (i.e., new prescriptions or increased dose of a previously used drug) were ascertained using the computerized provider order entry system, whereas falls were ascertained by incident reports. Negative binomial regression was used to compare the rate of falls following a drug change between medication classes. Further, we calculated the rate of falls for each of the 7 days before and 7 days after a psychotropic drug change.

resultsForty-eight percent of residents were prescribed a new prescription or increased dose of a psychotropic drug during the study. The rate of falls was similar in the 7 days following a change to a SSRI versus non-SSRI antidepressant (11.9 versus 14.4 falls/1,000 person years; p = 0.58), a typical versus an atypical antipsychotic (25.4 versus 17.1 falls/1,000 person years; p = 0.10), or a short versus long acting benzodiazepine (15.2 versus 13.9 falls/1,000 person years; p = 0.23). Fall risk was highest on day 4 before the drug change (19.0 falls/1,000 person days), on the day of the drug change through 2 days after the drug change (17.6-20.3 falls/1,000 person days), and 5-6 days after the drug change (17.6-19.0 falls/1,000 person days).

conclusionsIn the nursing home, risk of falls was similar following a psychotropic drug change of any class. We observed higher fall risk in the days before, but mostly after the drug change. We recommend that nursing home residents be closely monitored following a psychotropic drug change in an effort to reduce falls.

Indexed as

Accidental FallsAgedAged, 80 and overCohort StudiesDose-Response Relationship, DrugFemaleFollow-Up StudiesHumansMaleNursing HomesProspective StudiesPsychotropic DrugsRisk FactorsTime FactorsPsychotropic Drugs

Identifiers

PMID23432790
PMCPMC3606594
OpenAlexW2155739730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.