Evidence map›Paper›PMID 26416101›Full record

ArticleEuropean journal of clinical pharmacology2016

Risk factors for potentially inappropriate prescribing to older patients in primary care.

Ivana Projovic, Dubravka Vukadinovic, Olivera Milovanovic, Milena Jurisevic, Radisa Pavlovic, Sasa Jacovic, Slobodan Jankovic, Srdjan Stefanovic

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In one paragraph

Article in European journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

8 authors at 1 institution in 1 country.

Ivana ProjovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Dubravka VukadinovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Olivera MilovanovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Milena JurisevicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Radisa PavlovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Sasa JacovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Slobodan JankovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia.
Srdjan StefanovicDepartment for Clinical Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Svetozara Markovica 69, 34000, Kragujevac, Serbia. sstefanovic@medf.kg.ac.rs.
University of Kragujevac · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to determine modifiable risk factors contributing to potentially inappropriate prescribing in older primary care outpatients (≥65 years).

methodsTwo separate, age- and sex-matched case-control studies were carried out simultaneously at the Primary Health Care Center Kragujevac, Serbia, during the period September 2013-September 2014. The cases were defined as patients with at least one prescription for potentially inappropriate medication (PIM) according to Screening Tool of Older Persons potentially inappropriate Prescriptions (STOPP) criteria (n = 122), and patients who had at least one potential prescribing omission (PPO) listed in Screening Tool to Alert doctors to the Right Treatment (START) criteria (n = 108), while the control groups consisted of patients without such outcomes (n = 244 and n = 216, respectively).

resultsA total of 138 PIM and 161 PPO events were identified using 26 (41.3 %) of STOPP criteria and 17 (77.3 %) of START indicators, respectively. The unhealthy behaviors including at least two of the following: sedentary lifestyle, improper nutrition, active smoking or heavy alcohol consumption (adjusted OR 2.57, 95 % CI 1.28-5.20), use of multiple drugs (five to eight drugs, adjusted OR 3.05, 95 % CI 1.59-5.85; ≥9 of drugs adjusted OR 7.17, 95 % CI 3.07-16.74) and frequent contacts between patients chosen general practitioners (GPs) and pharmaceutical sales representatives (adjusted OR 2.28, 95 % CI 1.10-4.75), were identified as major risk factors for PIM use. Patients who were handled by GPs from smaller practices (adjusted OR 0.51, 95 % CI 0.29-0.93), those with more organ systems affected by the extremely severe disorders and those who often visited the outpatient specialist services (adjusted OR 0.88, 95 % CI 0.81-0.95), had a significantly reduced risk of PPO.

conclusionsThis study suggests that avoidance of major polypharmacy, use of nonpharmacological measures to improve lifestyle habits and decreasing the exposure of physicians to drug promotional material may reduce the risk of PIM use in older primary care outpatients. The only modifiable protective factors for PPOs were working environment of the patients chosen GPs and more frequent ambulatory visits to specialists.

Indexed as

AgedAged, 80 and overCase-Control StudiesFemaleHospitalizationHumansInappropriate PrescribingInsurance, Health, ReimbursementLife StyleMaleOdds RatioOffice VisitsOutpatientsPolypharmacyPrimary Health CareRisk FactorsElderlyInappropriate prescribingPrimary careRisk factorsSTOPP/START

Identifiers

PMID26416101
OpenAlexW2259155162

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.