Kluyts, Hyla-LouiseBedwell, Gillian J.Bedada, Alemayehu G.Fadalla, TarigHewitt-Smith, AdamMbwele, Bernard A.Mrara, BusisiweOmigbodun, AkinyinkaOmoshoro-Jones, JonesTurton, Edwin W.Belachew, Fitsum K.Chu, KathrynCloete, EstherEkwen, GeraldElfagieh, Mohamed AhmedElfiky, MahmoudMaimbo, MayabaMorais, AtilioMpirimbanyi, ChristopheMunlemvo, DollyNdarukwa, PisiraiSmalle, IsaacTorborg, Alexandra M.Ulisubisya, MpokiFawzy, MaherGobin, VeekashMbeki, MotselisiNgumi, ZipporahPatel-Mujajati, UshmabenSama, Hamza D.Tumukunde, JanatAntwi-Kusi, AkwasiBasenaro, ApolloLamacraft, GillianMadzimbamuto, FaraiMaswime, SalomeMsosa, VanessaMulwafu, WakisaYoussouf, CoulibalyPearse, RupertBiccard, Bruce M.2024-07-312024-07-312023-03Kluyts, 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/s00268-022-06815-3.0364-2313 (print)1432-2323 (online)10.1007/s00268-022-06815-3http://hdl.handle.net/2263/97341BACKGROUND : 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© The Author(s) under exclusive licence to Société Internationale de Chirurgie 2022. The original publication is available at : http://link.springer.comjournal/268.Low- and middle-income countries (LMICs)AfricaDelphi studyRegistryQuality improvementPerioperative datasetDataCiniciansQuality of careSDG-03: Good health and well-beingDetermining the minimum dataset for surgical patients in Africa : a Delphi studyPostprint Article