Evidence map›Paper›PMID 20331389›Full record

ArticleScandinavian journal of primary health care2010

Risk factors for persistent frequent use of the primary health care services among frequent attenders: a Bayesian approach.

Tuomas-Heikki Koskela, Olli-Pekka Ryynanen, Erkki J Soini

Abstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Doctor-Shopping Behavior among Patients with Eye Floaters.International journal of environmental research and public health · 2015
    Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Tuomas-Heikki KoskelaDepartment of General Practice, University of Tampere, Finland. tuomas.koskela@uta.fi
Olli-Pekka Ryynanen
Erkki J Soini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to examine risk factors that predict persistent healthcare frequent attendance among a frequent attender (FA) population.

designProspective cohort study without intervention.

settingPrimary healthcare centre in Tampere, Finland. SUBJECTS: A total of 85 primary healthcare working-age patients participated in the study. All participants were FAs in the first study year.

main outcome measuresWe identified two groups of patients: temporary FAs and persistent FAs. A patient was considered as a persistent FA if he or she visited the health centre at least eight times a year for at least three out of four follow-up years. Some 59 different variables were examined as potential risk factors for persistent FA. P-course, a web-based Naïve Bayesian classification tool, was used for the modelling of the data.

resultsIn our model, the most influential predictive risk factors for persistent frequent attendance in an FA population were female gender, body mass index above 30, former frequent attendance, fear of death, alcohol abstinence, low patient satisfaction, and irritable bowel syndrome. New observations were high body mass index, alcohol abstinence, irritable bowel syndrome, low patient satisfaction, and fear of death.

conclusionsIn FA analyses, distinction between temporary and persistent frequent attendance should be made. Our Bayesian model could be used for identifying persistent FAs in uncertain situations. The model can quite easily be further developed as a practical decision support tool for general practitioners. However, before its use in practice, the external validity of the model will need to be defined.

Indexed as

Health Services MisuseAdultAgedBayes TheoremCohort StudiesFamily PracticeFemaleFinlandHumansMaleMiddle AgedOffice VisitsPatient SatisfactionPrimary Health CareProspective StudiesWorkload

Identifiers

PMID20331389
PMCPMC3440616

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.