liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
A structured approach to recording AIDS-defining illnesses in Kenya: A SNOMED CT based solution
US Centre Disease Control and Prevent, Kenya.
University of Amsterdam, Netherlands.
Kenya Govt Medical Research Centre, Kenya.
Kenya Govt Medical Research Centre, Kenya.
Show others and affiliations
2015 (English)In: Journal of Biomedical Informatics, ISSN 1532-0464, E-ISSN 1532-0480, Vol. 56, 387-394 p.Article in journal (Refereed) Published
Abstract [en]

Introduction: Several studies conducted in sub-Saharan Africa (SSA) have shown that routine clinical data in HIV clinics often have errors. Lack of structured and coded documentation of diagnosis of AIDS defining illnesses (ADIs) can compromise data quality and decisions made on clinical care. Methods: We used a structured framework to derive a reference set of concepts and terms used to describe ADIs. The four sources used were: (i) CDC/Accenture list of opportunistic infections, (ii) SNOMED Clinical Terms (SNOMED CT), (iii) Focus Group Discussion (FGD) among clinicians and nurses attending to patients at a referral provincial hospital in western Kenya, and (iv) chart abstraction from the Maternal Child Health (MCH) and HIV clinics at the same hospital. Using the January 2014 release of SNOMED CT, concepts were retrieved that matched terms abstracted from approach iii and iv, and the content coverage assessed. Post-coordination matching was applied when needed. Results: The final reference set had 1054 unique ADI concepts which were described by 1860 unique terms. Content coverage of SNOMED CT was high (99.9% with pre-coordinated concepts; 100% with post-coordination). The resulting reference set for ADIs was implemented as the interface terminology on OpenMRS data entry forms. Conclusion: Different sources demonstrate complementarity in the collection of concepts and terms for an interface terminology. SNOMED CT provides a high coverage in the domain of ADIs. Further work is needed to evaluate the effect of the interface terminology on data quality and quality of care.

Place, publisher, year, edition, pages
Elsevier , 2015. Vol. 56, 387-394 p.
Keyword [en]
AIDS; SNOMED CT; AIDS-related opportunistic infections; Developing countries; Quality of healthcare
National Category
Medical Biotechnology
URN: urn:nbn:se:liu:diva-121320DOI: 10.1016/j.jbi.2015.07.009ISI: 000359752100035PubMedID: 26184057OAI: diva2:854128

Funding Agencies|U.S. Presidents Emergency Plan for AIDS Relief (PEPFAR) through the U.S. Centers for Disease Control and Prevention (CDC), Division of HIV/AIDS (DGHA), under KEMRI/CDC Cooperative Agreement [GH000048-04]

Available from: 2015-09-16 Created: 2015-09-14 Last updated: 2015-09-16

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Cornet, Ronald
By organisation
Medical InformaticsFaculty of Science & Engineering
In the same journal
Journal of Biomedical Informatics
Medical Biotechnology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 180 hits
ReferencesLink to record
Permanent link

Direct link