Evidence map›Paper›PMID 28188508›Full record

ArticleInternational journal of clinical pharmacy2017

Potentially inappropriate prescribing and associated factors in elderly patients at hospital discharge in Brazil: a cross-sectional study.

Ana Luiza Pereira Moreira Mori, Renata Cunha Carvalho, Patricia Melo Aguiar, Maria Goretti Farias de Lima, Magali da Silva Pacheco Nobre Rossi, José Fernando Salvador Carrillo, Egídio Lima Dórea, Sílvia Storpirtis

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

8 authors at 2 institutions in 1 country.

Ana Luiza Pereira Moreira MoriDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Renata Cunha CarvalhoDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Patricia Melo AguiarDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil. aguiar.pm@usp.br.
Maria Goretti Farias de LimaDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Magali da Silva Pacheco Nobre RossiDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
José Fernando Salvador CarrilloDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Egídio Lima DóreaUniversity Hospital, University of São Paulo, São Paulo, Brazil.
Sílvia StorpirtisDepartment of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Universidade de São Paulo · BRHospital Universitário da Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The Screening Tool of Older Persons' Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START) criteria is used to identify instances of potentially inappropriate prescribing in a patient's medication regimen. Objective To determine the prevalence and predictors of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) among elderly patients at hospital discharge. Setting A university hospital medical clinic in Brazil. Method Discharge prescriptions were examined using the STOPP/START criteria. Subjects were inpatients aged ≥60 years receiving at least one medication prior to hospitalization and with a history of cardiovascular disease. The prevalence of PIMs and PPOs was determined and a multivariable binary regression analysis was performed to identify independent predictors associated with PIMs or PPOs. Main outcome measure Prevalence of PIMs and PPOs. Results Of the 230 subjects, 13.9% were prescribed at least one PIM. The most frequently prescribed PIMs were glibenclamide or chlorpropamide prescribed for type 2 diabetes mellitus (31.0%), and aspirin at doses >150 mg/day (14.3%). Ninety patients had at least one PPO (39.1%). The most prevalent PPOs were statins (29.8%) and antiplatelet therapy (13.7%) for diabetes mellitus when coexisting major cardiovascular risk factors were present. No predictors for PIMs were found. In contrast, diabetes was a risk factor while dyslipidaemia was a protective factor for PPOs. Conclusion PIMs and PPOs commonly occur with elderly people at hospital discharge. Diabetes and dyslipidaemia were significantly associated with PPOs. Our findings show the need for interventions to reduce potentially inappropriate prescribing, such as a pharmacist medication review process at hospital discharge.

Indexed as

AgedAged, 80 and overBrazilCross-Sectional StudiesFemaleHumansInappropriate PrescribingMaleMiddle AgedPatient DischargePotentially Inappropriate Medication ListPrevalenceRisk FactorsAgedBrazilPatient dischargePharmacistsPotentially inappropriate medication listSTOPP START criteria

Identifiers

PMID28188508
OpenAlexW2586445861

What OpenQuestion holds

Textmetadata
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.