Evidence map›Paper›PMID 28024315›Full record

ArticleHealth services research2018

Patient, Physician, and Health-System Factors Influencing the Quality of Antidepressant and Sedative Prescribing for Older, Community-Dwelling Adults.

Rian Marie Extavour, Matthew Perri

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Rian Marie ExtavourSchool of Pharmacy, Faculty of Medical Sciences, The University of the West Indies, Champs Fleurs, Trinidad and Tobago.ORCID 0000-0002-6490-6472
Matthew PerriDepartment of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, Athens, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify determinants of potentially inappropriate (PI) antidepressant and anxiolytic/sedative prescribing for older, community-dwelling adults. DATA SOURCES/STUDY

settingOffice visits from the 2010 National Ambulatory Medical Care Survey. STUDY

designA cross-sectional study measuring associations between various patient and physician factors and prescribing of PI antidepressants, and PI sedatives among elderly, using Beers 2012/2015 criteria, a clinical decision model, and multivariate logistic regressions. DATA COLLECTION: Visits by older adults (≥65 years) involving medications were extracted to identify visits with antidepressants and sedatives. PRINCIPAL

findingsBlack race, asthma, depression, osteoporosis, payment type, consultation time, and computer systems with prescribing support were associated with reduced odds of PI antidepressant prescribing among users. Income, chronic renal failure, diabetes, and obesity were associated with reduced odds of PI sedative prescribing. Female sex, white race, depression, increasing number of medications, and physician specialty were associated with increased odds of PI sedative prescribing.

conclusionsVarious patient and health-system factors influence the quality of antidepressant and sedative prescribing for older community-dwelling adults. Longer consultations and the use of computer systems with prescribing support may minimize potentially inappropriate antidepressant prescribing. As medication numbers increase, exposure to PI sedatives is more likely, requiring medication review and monitoring.

Indexed as

AgedAged, 80 and overAge FactorsAntidepressive AgentsChronic DiseaseComorbidityCross-Sectional StudiesDrug UtilizationElectronic PrescribingFemaleHealth Care SurveysHealth Services ResearchHumansHypnotics and SedativesInappropriate PrescribingMaleAntidepressive AgentsHypnotics and Sedativesaging/elderly/geriatricsinformation technology in healthmental healthPharmaceuticalsprescribing/use/costsquality of care/patient safety (measurement)

Identifiers

PMID28024315
PMCPMC5785327

What OpenQuestion holds

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Registered trials

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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.