Evidence map›Paper›PMID 32256055›Full record

ArticleClinical interventions in aging2020

Potentially Inappropriate Prescriptions in Ambulatory Elderly Patients Living in Rural Areas of Romania Using STOPP/START (Version 2) Criteria.

Valentina Buda, Andreea Prelipcean, Minodora Andor, Liana Dehelean, Olivia Dalleur, Simona Buda, Lavinia Spatar, Maria Cristiana Mabda, Maria Suciu, Corina Danciu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

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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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 2 institutions in 2 countries.

Valentina Buda *Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Andreea Prelipcean *"Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Minodora Andor *Department of Medical Semiotics, Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.ORCID 0000-0002-2792-8074
Liana Dehelean *Discipline of Psychiatry, Department of Neurosciences, Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Olivia DalleurClinical Pharmacy Research Group, Louvain Drug Research Institute, Université catholique de Louvain UCLouvain, Bruxelles, Belgium.
Simona Buda"Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Lavinia Spatar"Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Maria Cristiana MabdaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Maria SuciuDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Corina DanciuDepartment of Pharmacognosy, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Anca TudorDepartment of Statistics and Biomedical Informatics, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.ORCID 0000-0001-9630-4727
Lucian PetrescuDepartment of Cardiology VI, Faculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Carmen CristescuDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, Timisoara, Romania.
Victor Babeș University of Medicine and Pharmacy Timișoara · ROUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRational use of medications and monitoring of prescriptions in elderly patients is important to decrease the number and duration of hospitalizations, emergency medical consultations, mortality, as well as medical costs. PURPOSE: To identify potentially inappropriate medications (PIMs) and potential prescription omissions (PPOs), and determine their prevalence based on the Screening Tool of Older Persons' potentially inappropriate Prescriptions (STOPP) v2 criteria and Screening Tool to Alert doctors to Right Treatment (START) v2 criteria for patients aged >65 years.

methodsThis cross-sectional study was conducted in two rural counties in Romania based on electronic prescriptions for chronic conditions (EPCCs) issued from 30 days to 90 days by a specialist or general practitioner. Collected EPCCs were evaluated by an interdisciplinary team of specialists based on 26 STOPP v2 criteria and 10 START v2 criteria.

resultsPIM prevalence was 25.80% and PPO prevalence was 41.72% for 646 EPCCs. The mean age of patients was 75 years and the mean number of drugs per EPCC was four. The most frequently identified PIMs were treatment duration (6.65%), theophylline administration (5.72%), drug indication (4.64%), cyclo-oxygenase-2 non-steroidal anti-inflammatory drugs (1.39%), and zopiclone prescription (0.77%). Statins (24.76%), beta-blockers (8.04%), and beta-2 agonist/antimuscarinic bronchodilators (5.88%) were the most frequently identified PPOs.

conclusionPPOs were more prevalent than PIMs for elderly populations living in the two rural counties in Romania we studied. Health practitioners (family physicians, specialists, and pharmacists) should focus on prophylactic and curative considerations when prescribing agents to decrease the morbidity and mortality of elderly rural Romanian patients.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesDrug-Related Side Effects and Adverse ReactionsFemaleGeneral PractitionersHumansInappropriate PrescribingMaleMass ScreeningMedication ErrorsPotentially Inappropriate Medication ListPractice Patterns, Physicians'PrevalencePrimary Health CareRomaniachronic prescriptionsRomanian elderlyrural zonesSTARTSTOPP

Identifiers

PMID32256055
PMCPMC7090181
OpenAlexW3011512077

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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.