Evidence map›Paper›PMID 22195136›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Data quality and fitness for purpose of routinely collected data--a general practice case study from an electronic practice-based research network (ePBRN).

Siaw-Teng Liaw, Jane Taggart, Sarah Dennis, Anthony Yeo

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Electronic health records and disease registries to support integrated care in a health neighbourhood: an ontology-based methodology.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
  10. Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    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

4 authors.

Siaw-Teng LiawUniversity of New South Wales, Sydney, Australia.
Jane Taggart
Sarah Dennis
Anthony Yeo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The practice-based research network (PBRN) is a resource to recruit research participants; conduct developmental and pilot studies; and coordinate multicentre research, teaching, clinical care and quality assurance programs. It is a community-based laboratory for translational, clinical and health services research. The mining of clinical information systems of PBRNs can be used to monitor performance at the service unit level. However, are the routinely collected data of ePBRNs fit for the abovementioned purposes? We describe the establishment and governance of an ePBRN which included general practice and community health and hospital units, The general practice data quality was examined, using diabetes as the context, for completeness, correctness and consistency and assessed on its fitness for research, audit and quality assurance purposes. The quality of social determinants data was generally good while risk factors data were variable. Issues and strategies for improving data quality are discussed.

Indexed as

Computer Communication NetworksDelivery of Health Care, IntegratedHealth Services ResearchDiabetes MellitusGeneral PracticeHumans

Identifiers

PMID22195136
PMCPMC3243124

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.