Evidence map›Paper›PMID 36636730›Full record

ArticleClinical epidemiology2023

Completeness and Representativeness of the PHARMO General Practitioner (GP) Data: A Comparison with National Statistics.

Jetty A Overbeek, Karin M A Swart, Eline Houben, Fernie J A Penning-van Beest, Ron M C Herings

Abstract read
In one paragraph

Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Sex differences in single and combined cardiovascular medication use.American heart journal plus : cardiology research and practice · 2026
    Article
  2. Article
  3. Observational
  4. Article
  5. Uptitration of statin therapy in women and men: a population-based cohort study.European heart journal. Quality of care & clinical outcomes · 2025
    Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Type 2 Diabetes, the Epidemic: Trends in Prevalence and Incidence, 2004-2020.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  13. Article
  14. Article
  15. 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

5 authors.

Jetty A OverbeekDepartment Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.ORCID 0000-0003-0935-5193
Karin M A SwartDepartment Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.ORCID 0000-0003-2521-5780
Eline HoubenDepartment Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.ORCID 0000-0002-9173-3335
Fernie J A Penning-van BeestDepartment Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.ORCID 0000-0002-1906-9724
Ron M C HeringsDepartment Research, PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands.ORCID 0000-0002-2561-8734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: When using incomplete or non-representative real-world data (RWD), bias is more likely to occur. The aim of the current study was to assess the completeness and representativeness of the PHARMO GP data for the Dutch population. Patients and Methods: A cross-sectional study was performed. The PHARMO GP data comprise data from electronic health records registered by GPs. Data on the Dutch population were obtained from Statistics Netherlands (CBS), which offers publicly available data on several themes. The standardized difference (std.diff) was used to compare proportions between the PHARMO GP population and the Dutch population. An absolute std.diff >0.2 was considered a difference. Results: On January 1st, 2018, 3,466,321 persons were included in the PHARMO GP data (mean age: 41.6 years, 49.7% males). The sex and age distribution was similar to the Dutch population. The PHARMO GP data captured less not urbanized areas compared to the Dutch population (not urbanized areas: 9.4% vs 17.1% [std.diff: -0.23]). Regarding medication use, only the pharmacological subgroups "viral vaccines" and "hormonal contraceptives for systemic use" differed (std.diff >0.2); use in the GP data was more complete than in the Statistics Netherlands (CBS) data. No differences were observed regarding diagnoses. Conclusion: The PHARMO GP data are representative of the Dutch population with regard to the demographic characteristics and diagnoses in primary care. Medication data in the PHARMO GP data are more complete than national statistics, and differences are related to reimbursement. Use of the data and interpretation of results based on these sources should be done with experts on the data sources, the Dutch healthcare system and (pharmaco)epidemiology.

Indexed as

completenessdata qualityPHARMO GP datareal-world evidencerepresentativenessRWD

Identifiers

PMID36636730
PMCPMC9830053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.