Evidence map›Paper›PMID 35838185›Full record

ArticleHealth information management : journal of the Health Information Management Association of Australia2024

International Classification of Diseases clinical coding training: An international survey.

Lucia Otero Varela, Chelsea Doktorchik, Natalie Wiebe, Danielle A Southern, Søren Knudsen, Pallavi Mathur, Hude Quan, Cathy A Eastwood

Abstract read
In one paragraph

Article in Health information management : journal of the Health Information Management Association of Australia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Stroke clinical coding education program in Australia and New Zealand.Health information management : journal of the Health Information Management Association of Australia · 2025
    Article
  11. Article
  12. Article
  13. 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

8 authors.

Lucia Otero VarelaCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-4406-6314
Chelsea DoktorchikCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-3051-6780
Natalie WiebeCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.
Danielle A SouthernCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-0006-0033
Søren KnudsenCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-8306-1102
Pallavi MathurCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.
Hude QuanCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.
Cathy A EastwoodCentre for Health Informatics, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders' skills acquired during ICD training, which varies greatly across countries.

objectiveTo characterise the current landscape of international ICD clinical coding training.

methodAn online questionnaire was created to survey the 194 World Health Organization (WHO) member countries. Questions focused on the training provided to clinical coding professionals. The survey was distributed to potential participants who met specific criteria, and to organisations specialised in the topic, such as WHO Collaborating Centres, to be forwarded to their representatives. Responses were analysed using descriptive statistics.

resultsData from 47 respondents from 26 countries revealed disparities in all inquired topics. However, most participants reported clinical coders as the primary person assigning ICD codes. Although training was available in all countries, some did not mandate training qualifications, and those that did differed in type and duration of training, with college or university degree being most common. Clinical coding certificates most frequently entailed passing a certification exam. Most countries offered continuing training opportunities, and provided a range of support resources for clinical coders.

conclusionVariability in clinical coder training could affect data collection worldwide, thus potentially hindering international comparability of health data. IMPLICATIONS: These findings could encourage countries to improve their resources and training programs available for clinical coders and will ultimately be valuable to the WHO for the standardisation of ICD training.

Indexed as

Clinical CodingInternational Classification of DiseasesWorld Health OrganizationHumansInternationalitySurveys and Questionnairesclinical codingdata accuracydata qualityeducationhealth information managementinternational classification of diseases

Identifiers

PMID35838185
PMCPMC11067421

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.