Evidence map›Paper›PMID 23321966›Full record

ArticleJournal of medical systems2013

Barriers to the widespread adoption of health data standards: an exploratory qualitative study in tertiary healthcare organizations in Saudi Arabia.

Abdullah Alkraiji, Thomas Jackson, Ian Murray

Abstract read
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In one paragraph

Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.8field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Population health data in KSA: Status, challenges, and opportunities.Journal of Taibah University Medical Sciences · 2022
    Article
  7. Review
  8. Article
  9. 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 at 1 institution in 1 country.

Abdullah AlkraijiLoughborough University, Loughborough, Leicestershire, UK.
Thomas Jackson
Ian Murray
Loughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although health data standards are perceived to be the essential solution for interoperability barriers within medical IT systems, the level of adoption of those standards still remains frustratingly low. Little is known about the barriers facing their adoption within the healthcare organizations context. In addressing this gap in the literature, based on IT related standards adoption theories such as Diffusion of Innovation Theory and the theories surrounding the Economics of Standards, a qualitative multiple-case study was undertaken in Saudi Arabia to investigate those barriers. The results exposed that few standards were adopted because of four broad reasons, managerial, technical, educational and governmental. While some of the findings can be rooted to those related standards theories, others can be underpinned through the normative literature. Core barriers are the lack of a national regulator and a data exchange plan, and the lack of an adequate policy regarding medical IT systems and information management and national healthcare system; also important are technical barriers and the switching costs to the standards. The outcome of this study can be used in forming effective interventions when planning to use health data standards and, in particular those in developing countries.

Indexed as

Diffusion of InnovationTertiary Health CareMedical InformaticsMedical Records Systems, ComputerizedOrganizational Case StudiesQualitative ResearchSaudi ArabiaSystems Integration

Identifiers

PMID23321966
OpenAlexW2017413628

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.