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Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage
Thesis (MSc)--Stellenbosch University, 2016.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2016
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| _version_ | 1867614086977552384 |
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| access_status_str | Open Access |
| author | Khan, Yaseen |
| author2 | Govender, Thashlin |
| author_browse | Govender, Thashlin Khan, Yaseen |
| author_facet | Govender, Thashlin Khan, Yaseen |
| author_sort | Khan, Yaseen |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MSc)--Stellenbosch University, 2016. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/98273 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:46:27.621Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/98273 Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage Khan, Yaseen Govender, Thashlin Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Global Health. Epidemiology and Biostatistics. Decision support systems Artificial intelligence Triage (Medicine) UCTD Thesis (MSc)--Stellenbosch University, 2016. ENGLISH SUMMARY: Background and Purpose: Unacceptable patient waiting times and misidentification of critically ill patients are significant problems within Emergency Centres (ECs). Triage, when performed correctly, is acritical process to address this. The South African Triage Scale (SATS) is widely used. Manually performed triage may be prone to inaccuracies and prolonged triage time. A mobile tablet application to facilitate use of the SATS by automating triage calculation and guiding nurses has been developed. Methods: This is a comparative cross-sectional study to observe the accuracy of triage using the mobile tablet application compared with triage performed manually. Under classroom examination conditions, nurses calculated triage scores on written case scenarios of typical EC presentations. A total of 59 nurses across five hospitals in the Western Cape Province, South Africa were randomized into an ‘app group’ and a ‘manual group’. Results: The app group scored a 23% higher level of agreement with the expert-validated results than the manual group. Kappa of 0.735 (0.719 - 0.770) and 0.597 (0.545 - 0.656) were found respectively. One in five patients are triaged more correctly using the app. Sensitivity for emergency cases was 65.5% and 53% respectively, with and without the app. Conclusions: Nurses triaging written scenarios with the aid of the app were observed to have a higher agreement with the expert-validated results than nurses performing traditional manual triage. The effect size is considerable and of practical relevance. The app could have significant benefit in busy Emergency Centres of public sector hospitals. A larger study involving real patients is recommended. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2016-03-09T13:59:06Z 2016-03-09T13:59:06Z 2016-03 Thesis http://hdl.handle.net/10019.1/98273 en_ZA Stellenbosch University 10 pages application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Decision support systems Artificial intelligence Triage (Medicine) UCTD Khan, Yaseen Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title | Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title_full | Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title_fullStr | Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title_full_unstemmed | Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title_short | Comparative, cross-sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| title_sort | comparative cross sectional study describing agreement and accuracy of emergency centre triage using either a mobile application or manual triage |
| topic | Decision support systems Artificial intelligence Triage (Medicine) UCTD |
| url | http://hdl.handle.net/10019.1/98273 |
| work_keys_str_mv | AT khanyaseen comparativecrosssectionalstudydescribingagreementandaccuracyofemergencycentretriageusingeitheramobileapplicationormanualtriage |