Evidence map›Paper›PMID 38435445›Full record

ArticleHealth science reports2024

Potentially inappropriate medication prescribing based on 2019 Beers criteria and the impact of pharmacist intervention in elderly patients with kidney diseases: A report from Iran.

Yasaman Nader Babaei, Zahra Niazkhani, Khadijeh Makhdoomi, Ayda Esmaeili

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 5 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

4 authors at 1 institution in 2 countries.

Yasaman Nader BabaeiStudent Research Committee Urmia University of Medical Sciences Urmia Iran.ORCID 0000-0002-1915-7089
Zahra NiazkhaniNephrology and Kidney Transplant Research Center, Clinical Research Institute Urmia University of Medical Sciences Urmia Iran.ORCID 0000-0003-2662-9731
Khadijeh MakhdoomiNephrology and Kidney Transplant Research Center, Clinical Research Institute Urmia University of Medical Sciences Urmia Iran.ORCID 0000-0002-4503-0612
Ayda EsmaeiliExperimental and Applied Pharmaceutical Sciences Research Center Urmia University of Medical Sciences Urmia Iran.ORCID 0000-0001-9264-0248
Urmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: A potentially inappropriate medication (PIM) is a pharmaceutical agent that poses a greater risk of harm than potential benefit to elderly patients. This study aimed to detect PIMs and their risk factors in hospitalized elderly patients with kidney disease. Methods: This cross-sectional study assessed medication orders of elderly patients (≥65 years old) with kidney diseases admitted to the hospital. In the first 6 months, we retrospectively evaluated all medications to identify PIMs according to the 2019 Beers criteria. In the second phase, a clinical pharmacist prospectively evaluated all medications and suggested modifications as needed. Data were analyzed to determine risk factors for prescribing PIMs. Results: Based on our evaluation of 258 patients, we observed that the utilization of PIMs was prevalent among the study population. Of the total patients evaluated, 273 instances of PIM use were identified, with only 23.3% of patients not having any PIMs. Notably, proton pump inhibitors and benzodiazepines were the most frequently prescribed PIMs. The risk of experiencing a PIM was significantly amplified by a higher degree of polypharmacy, with odds approximately 2.68 times higher ( Conclusion: High prevalence of PIMs was detected in our study population. Preventing medication-associated harms in the elderly can reduce the financial burden imposed on healthcare systems. Therefore, routine evaluation of medications with clinical pharmacists and/or implementation of computerized medication decision support systems is recommended to prevent PIMs use.

Indexed as

Beers criteriaelderlykidney diseasepatient safetyPIMpotentially inappropriate medication

Identifiers

PMID38435445
PMCPMC10901788
OpenAlexW4392291719

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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.