Evidence map›Paper›PMID 37417466›Full record

ArticleHealth information management : journal of the Health Information Management Association of Australia2025

Stroke clinical coding education program in Australia and New Zealand.

Monique F Kilkenny, Ailie Sanders, Catherine Burns, Lauren M Sanders, Olivia Ryan, Carla Read, Miriam Lum On, Anna Ranta, Tara Purvis, Carys Inman and 6 more

Abstract read
In one paragraph

Article in Health information management : journal of the Health Information Management Association of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

16 authors.

Monique F KilkennyMonash University, Australia.ORCID 0000-0002-3375-287X
Ailie SandersMonash University, Australia.ORCID 0000-0002-4753-9201
Catherine BurnsMonash University, Australia.ORCID 0009-0008-8989-7876
Lauren M SandersSt Vincent's Hospital Melbourne, Australia.ORCID 0000-0001-6420-0181
Olivia RyanMonash University, Australia.ORCID 0000-0003-4977-6742
Carla ReadThe Victorian Agency for Health Information, Australia.ORCID 0009-0006-2507-0410
Miriam Lum OnAustralian Institute of Health and Welfare, Australia.ORCID 0000-0002-0910-3669
Anna RantaUniversity of Otago-Wellington, New Zealand.ORCID 0000-0002-3223-3330
Tara PurvisMonash University, Australia.ORCID 0000-0003-3332-5357
Carys InmanMonash University, Australia.
Dominique A CadilhacMonash University, Australia.ORCID 0000-0001-8162-682X
Helen CarterThe Florey Institute of Neuroscience and Mental Health, Australia.ORCID 0009-0000-9179-3269
Stella RowlandsSunshine Coast Hospital and Health Service, Australia.ORCID 0000-0002-3994-0791
Lee NedkoffThe University of Western Australia, Australia.ORCID 0000-0002-3970-625X
Muideen T OlaiyaMonash University, Australia.ORCID 0000-0002-4070-0533
Australia and New Zealand Stroke Coding Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate coded diagnostic data are important for epidemiological research of stroke.

objectiveTo develop, implement and evaluate an online education program for improving clinical coding of stroke.

methodThe Australia and New Zealand Stroke Coding Working Group co-developed an education program comprising eight modules: rationale for coding of stroke; understanding stroke; management of stroke; national coding standards; coding trees; good clinical documentation; coding practices; and scenarios. Clinical coders and health information managers participated in the 90-minute education program. Pre- and post-education surveys were administered to assess knowledge of stroke and coding, and to obtain feedback. Descriptive analyses were used for quantitative data, inductive thematic analysis for open-text responses, with all results triangulated.

resultsOf 615 participants, 404 (66%) completed both pre- and post-education assessments. Respondents had improved knowledge for 9/12 questions (

conclusionOur education program was associated with increased knowledge for clinical coding of stroke. To continue to address the quality of coded stroke data through improved stroke documentation, the next stage will be to adapt the educational program for clinicians.

Indexed as

Clinical CodingStrokeAustraliaHumansNew ZealandSurveys and Questionnairesclinical codingeducationhealth information managementinternational classification of diseasesmedical recordsstroke

Identifiers

PMID37417466
PMCPMC11707964

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.