Evidence map›Paper›PMID 27113234›Full record

ArticleBMJ open2016

Has there been a change in the rates of UK sickness certification for back pain over time? An examination of historical data from 2000 to 2010.

Gwenllian Wynne-Jones, Kate M Dunn

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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

2 authors.

Gwenllian Wynne-JonesArthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK.
Kate M DunnArthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Keele, UK.ORCID http://orcid.org/0000-0002-6202-2606

Funding

Department of Health PDF-2009-02-54
6 · The paper itself

Abstract

objectivesThis paper aims to investigate historical patterns of sickness certification for back pain from 2000 to 2010.

designElectronic medical records from 14 practices that are part of the National Institute for Health Research (NIHR) Clinical Research Network: West Midlands were reviewed. All records for back pain consultations from 2000 to 2010 were downloaded and matched, by date, to corresponding sickness certification records.

settingPrimary Care.

resultsA total of 93,896 back pain consultations were recorded over the 11-year period, resulting in 30,913 sickness certificates. There was a statistically significant decrease in the rate of certification over the period, falling from 376.8 (95% CI 362.1 to 392) per 1000 back pain consultations in 2000 to 246.5 (95% CI 236.5 to 332.9) per 1000 back pain consultations in 2010. There was also a statistically significant difference in certification between males and females, with males issued more certificates than females. There was a statistically significant difference in certification by age, with those aged 60 years and over being less likely to be issued a certificate compared to all other age groups.

conclusionsRates of sickness certification for back pain demonstrated a downward trend between 2000 and 2010. While the reasons for this are not transparent, it may be related to changing beliefs around working with back pain.

Indexed as

AdultBack PainBenchmarkingCertificationElectronic Health RecordsFemaleHumansMaleMiddle AgedPrimary Health CarePublic HealthReferral and ConsultationSick LeaveUnited KingdomYoung AdultAbsenceEPIDEMIOLOGYRate

Identifiers

PMID27113234
PMCPMC4853988

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.