Evidence map›Paper›PMID 23289605›Full record

ArticleBMC health services research2013

Type II diabetes patients in primary care: profiles of healthcare utilization obtained from observational data.

Christel E van Dijk, Trynke Hoekstra, Robert A Verheij, Jos W R Twisk, Peter P Groenewegen, François G Schellevis, Dinny H de Bakker

Abstract read
In one paragraph

Article in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
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  11. Uncontrolled diabetes and health care utilisation: panel data evidence from Spain.The European journal of health economics : HEPAC : health economics in prevention and care · 2018
    Article
  12. Observational
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

7 authors.

Christel E van DijkNetherlands Institute for Health Services Research, Utrecht, The Netherlands. c.vandijk@nivel.nl
Trynke Hoekstra
Robert A Verheij
Jos W R Twisk
Peter P Groenewegen
François G Schellevis
Dinny H de Bakker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high burden of diabetes for healthcare costs and their impact on quality of life and management of the disease have triggered the design and introduction of disease management programmes (DMPs) in many countries. The extent to which diabetes patients vary with regard to their healthcare utilisation and costs is largely unknown and could impact on the design of DMPs. The objectives of this study are to develop profiles based on both the diabetes-related healthcare utilisation and total healthcare utilisation in primary care, to investigate which patient and disease characteristics determine 'membership' of each profile, and to investigate the association between these profiles.

methodsData were used from electronic medical records of 6721 known type II diabetes patients listed in 48 Dutch general practices. Latent Class Analyses were conducted to identify profiles of healthcare and regression analyses were used to analyse the characteristics of the profiles.

resultsFor both diabetes-related healthcare utilisation and total healthcare utilisation three profiles could be distinguished: for the diabetes-related healthcare utilisation these were characterised as 'high utilisation and frequent home visits' (n=393), 'low utilisation, GP only' (n=3231) and 'high utilisation, GP and nurse' (n=3097). Profiles differed with respect to the patients' age and type of medication; the oldest patients using insulin were dominant in the 'high utilisation, GP and nurse' profile. High total healthcare utilisation was not associated with high diabetes-related healthcare utilisation.

conclusionsHealthcare utilisation of diabetes patients is heterogeneous. This challenges the development of distinguishable DMPs.

Indexed as

Diabetes Mellitus, Type 2AdolescentAdultAgedFemaleHealth ServicesHumansLogistic ModelsMaleMedical AuditMiddle AgedNetherlandsPrimary Health CareQualitative ResearchRetrospective StudiesYoung Adult

Identifiers

PMID23289605
PMCPMC3570342

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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.