dc.contributor.author |
Kluyts, Hyla-Louise
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|
dc.contributor.author |
Bedwell, Gillian J.
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|
dc.contributor.author |
Bedada, Alemayehu G.
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|
dc.contributor.author |
Fadalla, Tarig
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dc.contributor.author |
Hewitt-Smith, Adam
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|
dc.contributor.author |
Mbwele, Bernard A.
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dc.contributor.author |
Mrara, Busisiwe
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dc.contributor.author |
Omigbodun, Akinyinka
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|
dc.contributor.author |
Omoshoro-Jones, Jones
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dc.contributor.author |
Turton, Edwin W.
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dc.contributor.author |
Belachew, Fitsum K.
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|
dc.contributor.author |
Chu, Kathryn
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|
dc.contributor.author |
Cloete, Esther
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dc.contributor.author |
Ekwen, Gerald
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dc.contributor.author |
Elfagieh, Mohamed Ahmed
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dc.contributor.author |
Elfiky, Mahmoud
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dc.contributor.author |
Maimbo, Mayaba
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dc.contributor.author |
Morais, Atilio
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|
dc.contributor.author |
Mpirimbanyi, Christophe
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dc.contributor.author |
Munlemvo, Dolly
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|
dc.contributor.author |
Ndarukwa, Pisirai
|
|
dc.contributor.author |
Smalle, Isaac
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|
dc.contributor.author |
Torborg, Alexandra M.
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|
dc.contributor.author |
Ulisubisya, Mpoki
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|
dc.contributor.author |
Fawzy, Maher
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|
dc.contributor.author |
Gobin, Veekash
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dc.contributor.author |
Mbeki, Motselisi
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dc.contributor.author |
Ngumi, Zipporah
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dc.contributor.author |
Patel-Mujajati, Ushmaben
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dc.contributor.author |
Sama, Hamza D.
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dc.contributor.author |
Tumukunde, Janat
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dc.contributor.author |
Antwi-Kusi, Akwasi
|
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dc.contributor.author |
Basenaro, Apollo
|
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dc.contributor.author |
Lamacraft, Gillian
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dc.contributor.author |
Madzimbamuto, Farai
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dc.contributor.author |
Maswime, Salome
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dc.contributor.author |
Msosa, Vanessa
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dc.contributor.author |
Mulwafu, Wakisa
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|
dc.contributor.author |
Youssouf, Coulibaly
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dc.contributor.author |
Pearse, Rupert
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dc.contributor.author |
Biccard, Bruce M.
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dc.date.accessioned |
2024-07-31T04:54:07Z |
|
dc.date.available |
2024-07-31T04:54:07Z |
|
dc.date.issued |
2023-03 |
|
dc.description.abstract |
BACKGROUND :
It is often difficult for clinicians in African low- and middle-income countries middle-income countries to access useful aggregated data to identify areas for quality improvement. The aim of this Delphi study was to develop a standardised perioperative dataset for use in a registry.
METHODS :
A Delphi method was followed to achieve consensus on the data points to include in a minimum perioperative dataset. The study consisted of two electronic surveys, followed by an online discussion and a final electronic survey (four Rounds).
RESULTS :
Forty-one members of the African Perioperative Research Group participated in the process. Forty data points were deemed important and feasible to include in a minimum dataset for electronic capturing during the perioperative workflow by clinicians. A smaller dataset consisting of eight variables to define risk-adjusted perioperative mortality rate was also described.
CONCLUSIONS :
The minimum perioperative dataset can be used in a collaborative effort to establish a resource accessible to African clinicians in improving quality of care. |
en_US |
dc.description.department |
Anaesthesiology |
en_US |
dc.description.sdg |
SDG-03:Good heatlh and well-being |
en_US |
dc.description.uri |
https://link.springer.com/journal/268 |
en_US |
dc.identifier.citation |
Kluyts, HL., Bedwell, G.J., Bedada, A.G. et al. Determining the Minimum Dataset for Surgical Patients in Africa: A Delphi Study. World Journal of Surgery 47, 581–592 (2023). https://doi.org/10.1007/s00268-022-06815-3. |
en_US |
dc.identifier.issn |
0364-2313 (print) |
|
dc.identifier.issn |
1432-2323 (online) |
|
dc.identifier.other |
10.1007/s00268-022-06815-3 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/97341 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.rights |
© The Author(s) under exclusive licence to Société Internationale de Chirurgie 2022. The original publication is available at : http://link.springer.comjournal/268. |
en_US |
dc.subject |
Low- and middle-income countries (LMICs) |
en_US |
dc.subject |
Africa |
en_US |
dc.subject |
Delphi study |
en_US |
dc.subject |
Registry |
en_US |
dc.subject |
Quality improvement |
en_US |
dc.subject |
Perioperative dataset |
en_US |
dc.subject |
Data |
en_US |
dc.subject |
Cinicians |
en_US |
dc.subject |
Quality of care |
en_US |
dc.subject |
SDG-03: Good health and well-being |
en_US |
dc.title |
Determining the minimum dataset for surgical patients in Africa : a Delphi study |
en_US |
dc.type |
Postprint Article |
en_US |