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How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines
Background: There is increasing recognition that health care research is biased owing to skewed reliance on data from WEIRD (Western, Educated, Industrialized, Rich, Democracies) populations. This research explores health care discrepancy, primarily experienced by non-westernised, non-industrialised...
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| Format: | Thesis |
| Language: | English |
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Department of Anaesthesia and Perioperative Medicine
2023
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| _version_ | 1867613199317073920 |
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| access_status_str | Open Access |
| author | Deedat, Raees |
| author2 | Parker, Romy |
| author_browse | Deedat, Raees Parker, Romy |
| author_facet | Parker, Romy Deedat, Raees |
| author_sort | Deedat, Raees |
| collection | Thesis |
| description | Background: There is increasing recognition that health care research is biased owing to skewed reliance on data from WEIRD (Western, Educated, Industrialized, Rich, Democracies) populations. This research explores health care discrepancy, primarily experienced by non-westernised, non-industrialised, non-rich and non-white people in the context of formulating the South African Acute Pain Guidelines, 2015 as published by the South African Society of Anaesthesiologists (the extant protocol at the time of writing). Methods: An established, peer-reviewed and published WEIRD (Western, Educated, Industrialized, Rich, Democracies) / non-WEIRD protocol for categorizing clinical population datasets was applied to the published datasets used in formulating the 2015 South African Acute Pain Guidelines. Results: A total of 5,246,847 patient data points were included in the numerous studies that formed part of the final analysis. Only 1% (n=73,539) of the patient data points originated from countries classified as nonWEIRD. Conclusions: The results confirmed the hypothesis that the 2015 South African Acute Pain Guidelines are based primarily on data from WEIRD population datasets. This study reveals an important type of bias in the scientific pain literature and also demonstrates a form of analysis that will encourage future published guidelines and research to be more inclusive of the depth and diversity of South African clinical practice. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/37127 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:20.328Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Department of Anaesthesia and Perioperative Medicine |
| publisherStr | Department of Anaesthesia and Perioperative Medicine |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/37127 How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines Deedat, Raees Parker, Romy Anaesthesia and Perioperative Medicine Background: There is increasing recognition that health care research is biased owing to skewed reliance on data from WEIRD (Western, Educated, Industrialized, Rich, Democracies) populations. This research explores health care discrepancy, primarily experienced by non-westernised, non-industrialised, non-rich and non-white people in the context of formulating the South African Acute Pain Guidelines, 2015 as published by the South African Society of Anaesthesiologists (the extant protocol at the time of writing). Methods: An established, peer-reviewed and published WEIRD (Western, Educated, Industrialized, Rich, Democracies) / non-WEIRD protocol for categorizing clinical population datasets was applied to the published datasets used in formulating the 2015 South African Acute Pain Guidelines. Results: A total of 5,246,847 patient data points were included in the numerous studies that formed part of the final analysis. Only 1% (n=73,539) of the patient data points originated from countries classified as nonWEIRD. Conclusions: The results confirmed the hypothesis that the 2015 South African Acute Pain Guidelines are based primarily on data from WEIRD population datasets. This study reveals an important type of bias in the scientific pain literature and also demonstrates a form of analysis that will encourage future published guidelines and research to be more inclusive of the depth and diversity of South African clinical practice. 2023-03-02T09:17:38Z 2023-03-02T09:17:38Z 2022 2023-02-20T12:33:03Z Master Thesis Masters MMed http://hdl.handle.net/11427/37127 eng application/pdf Department of Anaesthesia and Perioperative Medicine Faculty of Health Sciences |
| spellingShingle | Anaesthesia and Perioperative Medicine Deedat, Raees How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| thesis_degree_str | Master's |
| title | How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| title_full | How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| title_fullStr | How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| title_full_unstemmed | How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| title_short | How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines |
| title_sort | how weird are the south african acute pain guidelines an analysis of the 2015 south african acute pain guidelines |
| topic | Anaesthesia and Perioperative Medicine |
| url | http://hdl.handle.net/11427/37127 |
| work_keys_str_mv | AT deedatraees howweirdarethesouthafricanacutepainguidelinesananalysisofthe2015southafricanacutepainguidelines |