Evidence map›Paper›PMID 38753075›Full record

ArticleInternational journal of clinical pharmacy2024

Development and Delphi consensus validation of the Medication-Related Fall screening and scoring tool.

Dima Saeed, Gillian Carter, Ruth Miller, Carmel Darcy, Karen Miller, Kevin Madden, Hilary McKee, Jayne Agnew, Paula Crawford, Carole Parsons

Abstract readValidation StudyConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of clinical pharmacy, 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
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

10 authors.

Dima SaeedSchool of Pharmacy, Queen's University Belfast, Belfast, UK.
Gillian CarterSchool of Nursing and Midwifery, Queen's University Belfast, Belfast, UK.
Ruth MillerWestern Health and Social Care Trust, Londonderry, UK.
Carmel DarcyWestern Health and Social Care Trust, Londonderry, UK.
Karen MillerSouth Eastern Health and Social Care Trust, Belfast, UK.
Kevin MaddenSouth Eastern Health and Social Care Trust, Belfast, UK.
Hilary McKeeNorthern Health and Social Care Trust, Antrim, UK.
Jayne AgnewSouthern Health and Social Care Trust, Craigavon, UK.
Paula CrawfordBelfast Health and Social Care Trust, Belfast, UK.
Carole ParsonsSchool of Pharmacy, Queen's University Belfast, Belfast, UK. c.parsons@qub.ac.uk.ORCID http://orcid.org/0000-0003-0012-3927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a significant public health problem and constitute a major cause of injuries and mortality. Risk factors for falls are multifactorial and include medication use.

aimTo develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.

methodThe MRF tool was developed from clinical practice guidelines addressing medication-related problems, and additional medications identified by specialist pharmacists across a region of the United Kingdom (Northern Ireland). Medication classes were categorised according to their 'potential to cause falls' as: high-risk (three points), moderate-risk (two points) or low-risk (one point). The overall medication-related falls risk for the patient was determined by summing the scores for all medications. The MRF was validated using Delphi consensus methodology, whereby three iterative rounds of surveys were conducted using SurveyMonkey

resultsConsensus was reached for 19 medications/medication classes to be included in the final version of the MRF tool; ten were classified as high-risk, eight as moderate-risk and one as low-risk.

conclusionThe MRF tool is simple and has the potential to be integrated into medicines optimisation to reduce falls risk and negative fall-related outcomes. The score from the MRF tool can be used as a clinical parameter to assess the need for medication review and clinical interventions.

Indexed as

Accidental FallsDelphi TechniqueDrug-Related Side Effects and Adverse ReactionsHumansRisk AssessmentRisk FactorsSurveys and QuestionnairesAssessment toolFall-risk increasing drugsFallsMedication reviewOlder peoplePolypharmacy

Identifiers

PMID38753075
PMCPMC11286707

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Registered trials

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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.