Evidence map›Paper›PMID 21328064›Full record

ArticleJournal of occupational rehabilitation2011

Challenges to remaining at work with common health problems: what helps and what influence do organisational policies have?

Rhiannon Buck, Carol Porteous, Gwenllian Wynne-Jones, Katie Marsh, Ceri J Phillips, Chris J Main

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of occupational rehabilitation, 2011. 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. Trial
  2. Support or Scrutiny? Experiencing Workplace Well-Being Interviews.Journal of occupational rehabilitation · 2026
    Article
  3. Article
  4. Article
  5. Article
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

6 authors.

Rhiannon BuckDepartment for Health, University of Bath, 22-23 Eastwood, Claverton Down, Bath, England, UK. r.buck@bath.ac.uk
Carol Porteous
Gwenllian Wynne-Jones
Katie Marsh
Ceri J Phillips
Chris J Main

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommon health problems have a significant impact on work productivity (presenteeism), and sickness absence. The aim of this study was to examine the attitudes and beliefs of employees in the public sector about common health problems and work using the Flags system as a conceptual framework to identify problems and potential solutions.

method63 employees took part in 14 focus groups in two public sector organisations. Discussions were audio-recorded, transcribed, and analysed thematically using NVivo.

resultsThe study confirmed the importance of heath-focused clinical factors (Yellow flags), perceptions of work (Blue flags), and more objective characteristics of work and organisational policies (Black flags), which emerged as major themes. The social and moral norms surrounding sickness absence and presenteeism were frequently discussed, including the impact of absence on colleagues, guilt, legitimising illness, and trust. There were interactions between the different Flags, often mediated by managers via their relationships with employees and their role in implementing organisational policy.

conclusionsThe Flags system was useful as a conceptual framework in this context for identifying a number of obstacles to working with health problems, many of which were potentially modifiable on worker, workplace, or wider systems levels.

Indexed as

AbsenteeismHealth BehaviorInterpersonal RelationsOrganizational PolicySick LeaveAdultAttitude to HealthEfficiencyFemaleFocus GroupsHealth StatusHumansMaleMiddle AgedOrganizational CultureSocial Environment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.