Evidence map›Paper›PMID 28797304›Full record

ArticleBMC research notes2017

Prevalence of vitamin D supplement use in Australian residential aged care facilities in November 2014.

Pippy Walker, Amanda Miller Amberber, Susan Kurrle, Annette Kifley, Ian D Cameron

Abstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Pippy WalkerJohn Walsh Centre for Rehabilitation Research, University of Sydney, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. pippy.walker@sydney.edu.au.
Amanda Miller AmberberJohn Walsh Centre for Rehabilitation Research, University of Sydney, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Susan KurrleNHMRC Cognitive Decline Partnership Centre, Hornsby Ku-ring-gai Health Service, Hornsby, NSW, 2077, Australia.
Annette KifleyJohn Walsh Centre for Rehabilitation Research, University of Sydney, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Ian D CameronJohn Walsh Centre for Rehabilitation Research, University of Sydney, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to establish the prevalence and predictors of adequate vitamin D supplement use, as per current falls prevention guidelines in Australian aged care homes. De-identified medication chart data from November 2014 were collected from pharmacists. The proportion of residents prescribed vitamin D and associations between adequate vitamin D supplementation and state, calcium use and osteoporosis medication use were assessed.

resultsThe prevalence of adequate vitamin D supplement use (≥800 IU) was 47.1% of residents (95% CI 41.4, 52.8%). There was no significant difference between states (p = 0.3), however there was large variation between individual facilities (15.9-85.0%). Residents were more likely to be prescribed an adequate dose of vitamin D if they were prescribed a calcium supplement (p = 0.0001) or an osteoporosis medication (p = 0.03).

Indexed as

Accidental FallsAgedAged, 80 and overAustraliaCalcium, DietaryDietary SupplementsFemaleHomes for the AgedHumansMaleOsteoporosisPrevalenceVitamin DCalcium, DietaryVitamin DFallsFrail older adultsPreventive medicineResidential facilitiesVitamin D

Identifiers

PMID28797304
PMCPMC5553921

What OpenQuestion holds

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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.