Evidence map›Paper›PMID 22983875›Full record

ArticleBMJ open2012

Validation of prescribing appropriateness criteria for older Australians using the RAND/UCLA appropriateness method.

Benjamin Joseph Basger, Timothy Frank Chen, Rebekah Jane Moles

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In one paragraph

Article in BMJ open, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 9 pooled it
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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

42 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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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 Joseph BasgerFaculty of Pharmacy, The University of Sydney, Sydney, Australia.
Timothy Frank Chen
Rebekah Jane Moles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo further develop and validate previously published national prescribing appropriateness criteria to assist in identifying drug-related problems (DRPs) for commonly occurring medications and medical conditions in older (≥65 years old) Australians.

designRAND/UCLA appropriateness method.

participantsA panel of medication management experts were identified consisting of geriatricians/pharmacologists, clinical pharmacists and disease management advisors to organisations that produce Australian evidence-based therapeutic publications. This resulted in a round-one panel of 15 members, and a round-two panel of 12 members.

main outcome measureAgreement on all criteria.

resultsForty-eight prescribing criteria were rated. In the first rating round via email, there was disagreement regarding 17 of the criteria according to median panel ratings. During a face-to-face second round meeting, discussion resulted in retention of 25 criteria after amendments, agreement for 14 criteria with no changes required and deletion of 9 criteria. Two new criteria were added, resulting in a final validated list of 41 prescribing appropriateness criteria. Agreement after round two was reached for all 41 criteria, measured by median panel ratings and the amount of dispersion of panel ratings, based on the interpercentile range.

conclusionsA set of 41 Australian prescribing appropriateness criteria were validated by an expert panel. Use of these criteria, together with clinical judgement and other medication review processes such as patient interview, is intended to assist in improving patient care by efficiently detecting potential DRPs related to commonly occurring medicines and medical conditions in older Australians. These criteria may also contribute to the medication management education of healthcare professionals.

Identifiers

PMID22983875
PMCPMC3467596

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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.