دورية أكاديمية
Determining the Minimum Dataset for Surgical Patients in Africa: A Delphi Study.
| العنوان: | Determining the Minimum Dataset for Surgical Patients in Africa: A Delphi Study. |
|---|---|
| المؤلفون: | Kluyts HL; Department Anaesthesiology, Dr George Mukhari Academic Hospital, Sefako Makgatho Health Sciences University, Molotlegi Street, Ga-Rankuwa, Pretoria, South Africa. hyla.kluyts@smu.ac.za., Bedwell GJ; Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa., Bedada AG; Department of Surgery, Faculty of Medicine, Princess Marina Hospital, University of Botswana, Corner of Notwane and Mobuto Road, Gaborone, Botswana., Fadalla T; Ribat Neurospine Center, Ribat University Hospital, The National Ribat University, Nile Street Burri, Khartoum, Sudan., Hewitt-Smith A; Department of Anaesthesia and Critical Care, Faculty of Health Sciences, Busitema University, Mbale Campus, Mbale, Uganda., Mbwele BA; Department of Epidemiology, Mbeya Zonal Referral Hospital, University of Dar Es Salaam, Mbeya, Tanzania., Mrara B; Department of Anaesthesiology, Nelson Mandela Academic Hospital, Walter Sisulu University, Sissons Street Campus, Fortgale, Mthatha, Eastern Cape, South Africa., Omigbodun A; College of Medicine, University College Hospital Ibadan, University of Ibadan, Ibadan, Nigeria., Omoshoro-Jones J; Department of Surgery, Chris Hani-Baragwanath Academic Hospital, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa., Turton EW; Faculty of Health Sciences, University of the Free State and Pelonomi Tertiary Hospital, PO Box 339 (G67), Bloemfontein, South Africa., Belachew FK; Debre Berhan University, Debre Berhan, Ethiopia., Chu K; Centre for Global Surgery, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa., Cloete E; Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa., Ekwen G; JJ Dosen County Referral Hospital, Maryland, Liberia., Elfagieh MA; Misurata Cancer Center, Misurata, Libya., Elfiky M; Faculty of Medicine, Cairo University, Giza, Egypt., Maimbo M; Kitwe Teaching Hospital, Kitwe, Zambia., Morais A; Departamento de Cirurgias Faculdade De Medicina, College of Cardiovascular and Thoracic Surgery, Hospital Central de Maputo, Universidade Eduardo Mondlane, Maputo, Mozambique., Mpirimbanyi C; Kibungo Referral Hospital, Kibungo, Rwanda., Munlemvo D; University Hospital of Kinshasa, Kinshasa, Democratic Republic of the Congo., Ndarukwa P; Bindura University of Science Education, Bindura, Zimbabwe.; School of Nursing and Public Health, University of Kwa-Zulu Natal, Durban, South Africa., Smalle I; College of Medicine and Allied Health Sciences, University of Sierra Leone, Connaught Hospital, Freetown, Sierra Leone., Torborg A; Discipline of Anaesthesiology and Critical Care, Nelson R Mandela School of Medicine, University of Kwa-Zulu Natal, Durban, South Africa., Ulisubisya M; Hubert Kairuki Memorial University, Mbeya Zonal Referral Hospital, Mbeya, Tanzania., Fawzy M; Faculty of Medicine, Cairo University Hospitals, Cairo University, Cairo, Egypt., Gobin V; Jawaharall Nehru Hospital, Ministry of Health and Wellness, Rose Belle, Mauritius., Mbeki M; Kalafong Provincial Tertiary Hospital, University of Pretoria, Pretoria, South Africa., Ngumi Z; School of Medicine, Kenyatta National Hospital, University of Nairobi, Nairobi, Kenya., Patel-Mujajati U; Levy Mwanawasa University Teaching Hospital, University of Zambia, Lusaka, Zambia., Sama HD; Anesthesia Resuscitation and Critical Care Medicine, Sylvanus Olympio University Teaching Hospital, Lomé, Togo., Tumukunde J; College of Health Sciences, Makerere University, Kampala, Uganda., Antwi-Kusi A; Komfo Anokye Teaching Hospital, Kumasi, Ghana., Basenaro A; MPH Ministry of Health and Social Services, Windhoek, Namibia., Lamacraft G; University of the Free State, Bloemfontein, South Africa., Madzimbamuto F; Department of Anaesthesia, University of Botswana, Gaborone, Botswana., Maswime S; Department of Global Surgery, University of Cape Town, Cape Town, South Africa., Msosa V; Kamuzu Central Hospital, Lilongwe, Malawi., Mulwafu W; Kamuzu University of Health Sciences, Queen Elizabeth Central Hospital Blantyre, Blantyre, Malawi., Youssouf C; Centre Hospitalier Universitaire Point G, BP 333, Bamako, Mali., Pearse R; Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK., Biccard BM; Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa. |
| المصدر: | World journal of surgery [World J Surg] 2023 Mar; Vol. 47 (3), pp. 581-592. Date of Electronic Publication: 2022 Nov 15. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Springer International Country of Publication: United States NLM ID: 7704052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2323 (Electronic) Linking ISSN: 03642313 NLM ISO Abbreviation: World J Surg Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: New York, Springer International. |
| مواضيع طبية MeSH: | Delphi Technique*, Humans ; Africa ; Consensus ; Surveys and Questionnaires ; Registries |
| مستخلص: | 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. (© 2022. The Author(s) under exclusive licence to Société Internationale de Chirurgie.) |
| References: | Anderson JE, Lassiter R, Bickler SW et al (2012) Brief tool to measure risk-adjusted surgical outcomes in resource-limited hospitals. Arch Surg 147:798–803. https://doi.org/10.1001/archsurg.2012.699. (PMID: 10.1001/archsurg.2012.699) Biccard BM, Madiba TE, Kluyts HL et al (2018) Perioperative patient outcomes in the African Surgical Outcomes Study: a 7-day prospective observational cohort study. Lancet 391:1589–1598. https://doi.org/10.1016/S0140-6736(18)30001-1. (PMID: 10.1016/S0140-6736(18)30001-1) Bishop D, Dyer RA, Maswime S et al (2019) Maternal and neonatal outcomes after caesarean delivery in the African Surgical Outcomes Study: a 7-day prospective observational cohort study. Lancet Glob Heal 7:e513–e522. https://doi.org/10.1016/S2214-109X(19)30036-1. (PMID: 10.1016/S2214-109X(19)30036-1) Meara JG, Leather AJM, Hagander L et al (2015) The Lancet Commissions Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet 386:569–624. https://doi.org/10.1016/S0140-6736(15)60160-X. (PMID: 10.1016/S0140-6736(15)60160-X) Davies JI, Gelb AW, Gore-Booth J et al (2021) Global surgery, obstetric, and anaesthesia indicator definitions and reporting: an Utstein consensus report. PLOS Med 18:e1003749. https://doi.org/10.1371/journal.pmed.1003749. (PMID: 10.1371/journal.pmed.1003749) Moonesinghe SR, Mythen MG, Das P et al (2013) Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery qualitative systematic review. Anesthesiology 119:959–981. (PMID: 10.1097/ALN.0b013e3182a4e94d) Reilly JR, Gabbe BJ, Brown WA et al (2021) Systematic review of perioperative mortality risk prediction models for adults undergoing inpatient non-cardiac surgery. ANZ J Surg 91:860–870. https://doi.org/10.1111/ans.16255. (PMID: 10.1111/ans.16255) Kluyts H-L, le Manach Y, Munlemvo DM et al (2018) The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications. Br J Anaesth 121:1357–1363. https://doi.org/10.1016/j.bja.2018.08.005. (PMID: 10.1016/j.bja.2018.08.005) Biccard BM, du Toit L, Lesosky M et al (2021) Enhanced postoperative surveillance versus standard of care to reduce mortality among adult surgical patients in Africa (ASOS-2): a cluster-randomised controlled trial. Lancet Glob Heal 9:e1391–e1401. https://doi.org/10.1016/S2214-109X(21)00291-6. (PMID: 10.1016/S2214-109X(21)00291-6) Wong DJN, Oliver CM, Moonesinghe SR (2017) Predicting postoperative morbidity in adult elective surgical patients using the Surgical Outcome Risk Tool (SORT). Br J Anaesth 119:95–105. https://doi.org/10.1093/bja/aex117. (PMID: 10.1093/bja/aex117) Bilimoria KY, Liu Y, Paruch JL et al (2013) Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg 217:833-842.e3. https://doi.org/10.1016/j.jamcollsurg.2013.07.385. (PMID: 10.1016/j.jamcollsurg.2013.07.385) Biccard BM, Gopalan PD, Miller M et al (2021) Patient care and clinical outcomes for patients with COVID-19 infection admitted to African high-care or intensive care units (ACCCOS): a multicentre, prospective, observational cohort study. Lancet 397:1885–1894. https://doi.org/10.1016/S0140-6736(21)00441-4. (PMID: 10.1016/S0140-6736(21)00441-4) Biccard BM, Torborg AM, Madden VJ et al (2020) Priorities for peri-operative research in Africa. Anaesthesia 75:e28–e33. https://doi.org/10.1111/anae.14934. (PMID: 10.1111/anae.14934) Hsu CC, Sandford BA (2007) The Delphi technique: making sense of consensus. Pract Assess Res Eval 12:1–8. https://doi.org/10.7275/pdz9-th90. (PMID: 10.7275/pdz9-th90) Harris PA, Taylor R, Thielke R et al (2009) Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42:377–381. https://doi.org/10.1016/j.jbi.2008.08.010. (PMID: 10.1016/j.jbi.2008.08.010) Safe Surgery South Africa NPC (2022). https://safesurgery.co.za . Accessed 10 Oct 2022. Chazapis M, Gilhooly D, Smith AF et al (2018) Perioperative structure and process quality and safety indicators: a systematic review. Br J Anaesth 120:51–66. https://doi.org/10.1016/j.bja.2017.10.001. (PMID: 10.1016/j.bja.2017.10.001) Martin D, Mantziari S, Demartines N et al (2020) Defining smajor surgery: a Delphi consensus among European Surgical Association (ESA) members. World J Surg 44:2211–2219. https://doi.org/10.1007/s00268-020-05476-4. (PMID: 10.1007/s00268-020-05476-4) Dell-Kuster S, Gomes NV, Gawria L et al (2020) Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study. BMJ 370:1–11. https://doi.org/10.1136/bmj.m2917. (PMID: 10.1136/bmj.m2917) Marshall JC, Bosco L, Adhikari NK et al (2017) What is an intensive care unit? A report of the task force of the World Federation of Societies of Intensive and Critical Care Medicine. J Crit Care 37:270–276. https://doi.org/10.1016/j.jcrc.2016.07.015. (PMID: 10.1016/j.jcrc.2016.07.015) Dindo D, Demartines N, Clavien P-A (2004) Classification of surgical Complications. Ann Surg 240:205–213. https://doi.org/10.1097/01.sla.0000133083.54934.ae. (PMID: 10.1097/01.sla.0000133083.54934.ae) Grocott MPW, Browne JP, Van der Meulen J et al (2007) The Postoperative Morbidity Survey was validated and used to describe morbidity after major surgery. J Clin Epidemiol 60:919–928. https://doi.org/10.1016/j.jclinepi.2006.12.003. (PMID: 10.1016/j.jclinepi.2006.12.003) Kluyts HL, Biccard BM (2021) The role of peri-operative registries in improving the quality of care in low-resource environments. Anaesthesia 76:888–891. https://doi.org/10.1111/anae.15445. (PMID: 10.1111/anae.15445) Moonesinghe SR, Peden CJ (2017) Theory and context: putting the science into improvement. Br J Anaesth 117:482–486. https://doi.org/10.1093/bja/aew469. (PMID: 10.1093/bja/aew469) Wilkinson MD, Dumontier M, IjJ A et al (2016) Comment: the FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3:1–9. https://doi.org/10.1038/sdata.2016.18. (PMID: 10.1038/sdata.2016.18) Hasson F, Keeney S (2011) Enhancing rigour in the Delphi technique research. Technol Forecast Soc Change 78:1695–1704. https://doi.org/10.1016/j.techfore.2011.04.005. (PMID: 10.1016/j.techfore.2011.04.005) Van der Merwe F, Vickery NJ, Kluyts H et al (2021) Postoperative Outcomes Associated With Procedural Sedation Conducted by physician and nonphysician anesthesia providers: findings from the prospective, observational african surgical outcomes study. Anesth Analg. https://doi.org/10.1213/ANE.0000000000005819. (PMID: 10.1213/ANE.0000000000005819) Odland ML, Nepogodiev D, Morton D et al (2021) Identifying a basket of surgical procedures to standardize global surgical metrics. Ann Surg 274:1107–1114. https://doi.org/10.1097/sla.0000000000004611. (PMID: 10.1097/sla.0000000000004611) Myles PS, Grocott MPW, Boney O, Moonesinghe SR (2016) Standardizing end points in perioperative trials: towards a core and extended outcome set. Br J Anaesth 116:586–589. https://doi.org/10.1093/bja/aew066. (PMID: 10.1093/bja/aew066) |
| تواريخ الأحداث: | Date Created: 20221115 Date Completed: 20230206 Latest Revision: 20230429 |
| رمز التحديث: | 20240829 |
| DOI: | 10.1007/s00268-022-06815-3 |
| PMID: | 36380103 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1432-2323 |
|---|---|
| DOI: | 10.1007/s00268-022-06815-3 |