Evidence map›Paper›PMID 18729548›Full record

ArticleDrugs & aging2008

Inappropriate medication use and prescribing indicators in elderly Australians: development of a prescribing indicators tool.

Benjamin J Basger, Timothy F Chen, Rebekah J Moles

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Article in Drugs & aging, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
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51citing papers in PubMed, 4 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Identification of an updated set of prescribing--safety indicators for GPs.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
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  8. [Why represcribing instead of deprescribing?]Innere Medizin (Heidelberg, Germany) · 2026
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  15. Deprescribing in older people.Australian prescriber · 2020
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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

3 authors.

Benjamin J BasgerPharmacy Practice Department, The University of Sydney, Sydney, New South Wales, Australia. benb@pharm.usyd.edu.au
Timothy F Chen
Rebekah J Moles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence-practice gaps, adverse medication-related incidents and unplanned medical admissions to hospital are common in elderly Australians. Many prescribing indicator tools designed to address some of these problems have been reported in the literature, the most common of which is the Beers list of inappropriate medications in the elderly. However, many of these tools are not appropriate for the Australian healthcare environment without modification and validation, and there appears to be a need for a tool based on Australian data.

objectiveTo develop a list of prescribing indicators for elderly (aged >65 years) Australians based on the most frequent medications prescribed to Australians, and the most frequent medical conditions for which elderly Australians consult medical practitioners.

methodThe most common reasons for elderly Australians to seek or receive healthcare were cross-referenced with the 50 highest-volume Pharmaceutical Benefits Scheme medications prescribed to Australians in 2006 to develop prescribing indicators in the elderly using Australian medication and medical condition information resources.

resultsForty-eight prescribing indicators were identified, consisting mainly of optimum as well as inappropriate medication choices for a large number of common medical conditions in the elderly.

conclusionA prescribing indicators tool was developed. This tool is envisaged as forming an important part of the medication review process, which is aimed at addressing the common problem of adverse medication-related events in elderly Australians.

Indexed as

Quality Indicators, Health CareAgedAustraliaDrug-Related Side Effects and Adverse ReactionsHumansMedication ErrorsPractice Patterns, Physicians'PrescriptionsQuality Assurance, Health Care

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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.