Evidence map›Paper›PMID 21104407›Full record

ArticleEuropean journal of clinical pharmacology2011

Primary-care prescribing of anti-osteoporotic-type medications following hospitalisation for fractures.

Bernie M McGowan, Kath Bennett, Joe Marry, J B Walsh, Miriam C Casey

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Article in European journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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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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

4 citing papers in PubMed.

  1. Article
  2. Disparities in osteoporosis treatments.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Observational
  3. Post-fracture pharmacotherapy for women with osteoporotic fracture: analysis of a managed care population in the USA.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bernie M McGowanDepartment of Pharmacology & Therapeutics, Trinity Centre for Health Sciences, St. James's Hospital, Dublin 8, Ireland. mcgowab@tcd.ie
Kath Bennett
Joe Marry
J B Walsh
Miriam C Casey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe examined the prescribing of antiosteoporotic medications pre- and post hospital admission in patients with fragility fractures as well as factors associated with prescribing of these treatments following admission.

methodsWe identified all patients aged ≥ 55 years at a large teaching hospital between 2005 and 2008 with a fracture using the Hospital In-Patient Enquiry (HIPE) system. These data were linked to prescribing data from the Health Service Executive Primary Care Reimbursement Services (HSE-PCRS) scheme before and after discharge (821 patients). Logistic regression analysis was used to examine the likelihood of prescription of antiosteoporotic medication pre- and post discharge in relation to year of discharge, age, gender, and type of fracture.

resultsPrescribing of antiosteoporotic treatment before fracture increased from 2.6% [95% confidence interval (CI) 2.23-2.93%] in 2005 to 10.6% (95% CI 9.32-11.86) by 2008, whereas post fracture prescribing increased from 11% (95% CI 9.64-12.36) to 47% (95% CI 43.6-50.3). In patients discharged from hospital in 2007, postfracture prescribing was 31.8% (95% CI 28.66-35.02) at 12 months, increasing to 50.3% (95% CI 46.6-53.9) at 24 months. The highest rate of prescribing was in the 65- to 69-year age group [odds ratio (OR) 8.51, 95% CI 1.75-41.35]. Patients discharged in 2008 were eight times more likely to be treated than patients discharged in 2005 (OR 8.01, 95% CI 4.55-14.09).

conclusionThe percentage of patients on antiosteoporotic treatment post fracture increased significantly from 2005 to 2008. This may be largely due to the introduction of the Osteoporosis Clinic to the hospital in 2005.

Indexed as

AgedAged, 80 and overAge FactorsBone Density Conservation AgentsDatabases, FactualFemaleFollow-Up StudiesFractures, BoneHospitalizationHumansIrelandLogistic ModelsMaleMedical Record LinkageMiddle AgedOsteoporosisBone Density Conservation Agents

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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.