TY - JOUR
T1 - Elective surgery system strengthening
T2 - development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
AU - NIHR Global Health Unit on Global Surgery
AU - COVIDSurg Collaborative
AU - COVIDSurg Collaborative
AU - NIHR Global Health Unit on Global Surgery
AU - Glasbey, James C.
AU - Abbott, Tom EF
AU - Ademuyiwa, Adesoji
AU - Adisa, Adewale
AU - Alameer, Ehab
AU - Alshryda, Sattar
AU - Arnaud, Alexis P.
AU - Bankhead-Kendall, Brittany
AU - Abou Chaar, M. K.
AU - Chaudhry, Daoud
AU - Costas-Chavarri, Ainhoa
AU - Cunha, Miguel F.
AU - Davies, Justine I.
AU - Desai, Anant
AU - Elhadi, Muhammed
AU - Fiore, Marco
AU - Fitzgerald, James Edward
AU - Fourtounas, Maria
AU - Fowler, Alex James
AU - Futaba, Kay
AU - Gallo, Gaetano
AU - Ghosh, Dhruva
AU - Gujjuri, Rohan R.
AU - Hamilton, Rebecca
AU - Haque, Parvez
AU - Harrison, Ewen M.
AU - Hutchinson, Peter
AU - Hyman, Gabriella
AU - Isik, Arda
AU - Jayarajah, Umesh
AU - Kaafarani, Haytham MA
AU - Kadir, Bryar
AU - Lawani, Ismail
AU - Lederhuber, Hans
AU - Li, Elizabeth
AU - Löffler, Markus W.
AU - Lorena, Maria Aguilera
AU - Mann, Harvinder
AU - Martin, Janet
AU - Mazingi, Dennis
AU - McClain, Craig D.
AU - McLean, Kenneth A.
AU - Meara, John G.
AU - Ramos-De La Medina, Antonio
AU - Mengesha, Mengistu
AU - Minaya, Ana
AU - Modolo, Maria Marta
AU - Moore, Rachel
AU - Morton, Dion
AU - Nepogodiev, Dmitri
AU - Ntirenganya, Faustin
AU - Pata, Francesco
AU - Pearse, Rupert
AU - Picciochi, Maria
AU - Pinkney, Thomas
AU - Pockney, Peter
AU - van Ramshorst, Gabrielle H.
AU - Richards, Toby
AU - Roslani, April Camilla
AU - Satoi, Sohei
AU - Sayyed, Raza
AU - Shaw, Richard
AU - Simões, Joana FF
AU - Smart, Neil
AU - Sullivan, Richard
AU - Sund, Malin
AU - Sundar, Sudha
AU - Tabiri, Stephen
AU - Taylor, Elliott H.
AU - Venn, Mary L.
AU - Wickramasinghe, Dakshitha
AU - Wright, Naomi
AU - Yip, Sebastian Bernardo Shu
AU - Bhangu, Aneel
AU - Omar, Omar
AU - Harrison, Ewen
AU - Bhangu, Aneel A.
AU - Siaw-Acheampong, Kwabena
AU - Benson, Ruth A.
AU - Bywater, Edward
AU - Dawson, Brett E.
AU - Evans, Jonathan P.
AU - Heritage, Emily
AU - Jones, Conor S.
AU - Kamarajah, Sivesh K.
AU - Khatri, Chetan
AU - Khaw, Rachel A.
AU - Keatley, James M.
AU - Knight, Andrew
AU - Lawday, Samuel
AU - Mann, Harvinder S.
AU - Marson, Ella J.
AU - McKay, Siobhan C.
AU - Mills, Emily C.
AU - Pellino, Gianluca
AU - Tiwari, Abhinav
AU - Trout, Isobel M.
AU - Wilkin, Richard JW
AU - Abukhalaf, Sadi
AU - Adamina, Michel
AU - Ademuyiwa, Adesoji O.
AU - Agarwal, Arnav
AU - Akkulak, Murat
AU - Alderson, Derek
AU - Alakaloko, Felix
AU - Albertsmeier, Markus
AU - Alser, Osaid
AU - Alshaar, Muhammad
AU - Augestad, Knut Magne
AU - Ayasra, Faris
AU - Azevedo, José
AU - Bankhead-Kendall, Brittany K.
AU - Barlow, Emma
AU - Beard, David
AU - Blanco-Colino, Ruth
AU - Brar, Amanpreet
AU - Minaya-Bravo, Ana
AU - Breen, Kerry A.
AU - Bretherton, Chris
AU - Buarque, Igor Lima
AU - Burke, Joshua
AU - Caruana, Edward J.
AU - Chaar, Mohammad
AU - Chakrabortee, Sohini
AU - Christensen, Peter
AU - Cox, Daniel
AU - Cukier, Moises
AU - Davidson, Giana H.
AU - Di Saverio, Salomone
AU - Drake, Thomas M.
AU - Edwards, John G.
AU - Emile, Sameh
AU - Farik, Shebani
AU - Ford, Samuel
AU - Garmanova, Tatiana
AU - Gomes, Gustavo Mendonça Ataíde
AU - Grecinos, Gustavo
AU - Griffiths, Ewen A.
AU - Gruendl, Magdalena
AU - Halkias, Constantine
AU - Hisham, Intisar
AU - Hutchinson, Peter J.
AU - Hwang, Shelley
AU - Jenkinson, Michael D.
AU - Jonker, Pascal
AU - Keller, Debby
AU - Kolias, Angelos
AU - Kruijff, Schelto
AU - Leventoglu, Sezai
AU - Litvin, Andrey
AU - Loehrer, Andrew
AU - Major, Piotr
AU - Mashbari, Hassan N.
AU - Metallidis, Symeon
AU - Mohan, Helen M.
AU - Moszkowicz, David
AU - Moug, Susan
AU - Ng-Kamstra, Joshua S.
AU - Maimbo, Mayaba
AU - Negoi, Ionut
AU - Niquen, Milagros
AU - Olivos, Maricarmen
AU - Oussama, Kacimi
AU - Outani, Oumaima
AU - Parreno-Sacdalanm, Marie Dione
AU - Rivera, Carlos Jose Perez
AU - Plas, Willemijn van der
AU - Qureshi, Ahmad
AU - Radenkovic, Dejan
AU - Revell, Elliot J.
AU - Roberts, Keith
AU - Roslani, April C.
AU - Rutegård, Martin
AU - Segura-Sampedro, Juan José
AU - Santos, Irène
AU - Schache, Andrew
AU - Schnitzbauer, Andreas A.
AU - Seyi-Olajide, Justina O.
AU - Sharma, Neil
AU - Shaw, Catherine A.
AU - Shu, Sebastian
AU - Soreide, Kjetil
AU - Spinelli, Antonino
AU - Stewart, Grant D.
AU - Townend, Philip
AU - Tsoulfas, Georgios
AU - Vidya, Raghavan
AU - Vimalachandran, Dale
AU - Warren, Oliver J.
AU - Wedderburn, Duane
AU - EuroSurg, N. A.
AU - European Society of Coloproctology (ESCP), N. A.
AU - Global Initiative for Children's Surgery, N. A.
AU - GlobalSurg, N. A.
AU - GlobalPaedSurg, N. A.
AU - ItSURG, N. A.
AU - PTSurg, N. A.
AU - SpainSurg, N. A.
AU - Italian Society of Colorectal Surgery, N. A.
AU - Badran, Saif
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2022/11/5
Y1 - 2022/11/5
N2 - Background: The 2015 Lancet Commission on global surgery identified surgery and anaesthesia as indispensable parts of holistic health-care systems. However, COVID-19 exposed the fragility of planned surgical services around the world, which have also been neglected in pandemic recovery planning. This study aimed to develop and validate a novel index to support local elective surgical system strengthening and address growing backlogs. Methods: First, we performed an international consultation through a four-stage consensus process to develop a multidomain index for hospital-level assessment (surgical preparedness index; SPI). Second, we measured surgical preparedness across a global network of hospitals in high-income countries (HICs), middle-income countries (MICs), and low-income countries (LICs) to explore the distribution of the SPI at national, subnational, and hospital levels. Finally, using COVID-19 as an example of an external system shock, we compared hospitals' SPI to their planned surgical volume ratio (SVR; ie, operations for which the decision for surgery was made before hospital admission), calculated as the ratio of the observed surgical volume over a 1-month assessment period between June 6 and Aug 5, 2021, against the expected surgical volume based on hospital administrative data from the same period in 2019 (ie, a pre-pandemic baseline). A linear mixed-effects regression model was used to determine the effect of increasing SPI score. Findings: In the first phase, from a longlist of 103 candidate indicators, 23 were prioritised as core indicators of elective surgical system preparedness by 69 clinicians (23 [33%] women; 46 [67%] men; 41 from HICs, 22 from MICs, and six from LICs) from 32 countries. The multidomain SPI included 11 indicators on facilities and consumables, two on staffing, two on prioritisation, and eight on systems. Hospitals were scored from 23 (least prepared) to 115 points (most prepared). In the second phase, surgical preparedness was measured in 1632 hospitals by 4714 clinicians from 119 countries. 745 (45·6%) of 1632 hospitals were in MICs or LICs. The mean SPI score was 84·5 (95% CI 84·1–84·9), which varied between HIC (88·5 [89·0–88·0]), MIC (81·8 [82·5–81·1]), and LIC (66·8 [64·9–68·7]) settings. In the third phase, 1217 (74·6%) hospitals did not maintain their expected SVR during the COVID-19 pandemic, of which 625 (51·4%) were from HIC, 538 (44·2%) from MIC, and 54 (4·4%) from LIC settings. In the mixed-effects model, a 10-point increase in SPI corresponded to a 3·6% (95% CI 3·0–4·1; p<0·0001) increase in SVR. This was consistent in HIC (4·8% [4·1–5·5]; p<0·0001), MIC (2·8 [2·0–3·7]; p<0·0001), and LIC (3·8 [1·3–6·7%]; p<0·0001) settings. Interpretation: The SPI contains 23 indicators that are globally applicable, relevant across different system stressors, vary at a subnational level, and are collectable by front-line teams. In the case study of COVID-19, a higher SPI was associated with an increased planned surgical volume ratio independent of country income status, COVID-19 burden, and hospital type. Hospitals should perform annual self-assessment of their surgical preparedness to identify areas that can be improved, create resilience in local surgical systems, and upscale capacity to address elective surgery backlogs. Funding: National Institute for Health Research (NIHR) Global Health Research Unit on Global Surgery, NIHR Academy, Association of Coloproctology of Great Britain and Ireland, Bowel Research UK, British Association of Surgical Oncology, British Gynaecological Cancer Society, and Medtronic.
AB - Background: The 2015 Lancet Commission on global surgery identified surgery and anaesthesia as indispensable parts of holistic health-care systems. However, COVID-19 exposed the fragility of planned surgical services around the world, which have also been neglected in pandemic recovery planning. This study aimed to develop and validate a novel index to support local elective surgical system strengthening and address growing backlogs. Methods: First, we performed an international consultation through a four-stage consensus process to develop a multidomain index for hospital-level assessment (surgical preparedness index; SPI). Second, we measured surgical preparedness across a global network of hospitals in high-income countries (HICs), middle-income countries (MICs), and low-income countries (LICs) to explore the distribution of the SPI at national, subnational, and hospital levels. Finally, using COVID-19 as an example of an external system shock, we compared hospitals' SPI to their planned surgical volume ratio (SVR; ie, operations for which the decision for surgery was made before hospital admission), calculated as the ratio of the observed surgical volume over a 1-month assessment period between June 6 and Aug 5, 2021, against the expected surgical volume based on hospital administrative data from the same period in 2019 (ie, a pre-pandemic baseline). A linear mixed-effects regression model was used to determine the effect of increasing SPI score. Findings: In the first phase, from a longlist of 103 candidate indicators, 23 were prioritised as core indicators of elective surgical system preparedness by 69 clinicians (23 [33%] women; 46 [67%] men; 41 from HICs, 22 from MICs, and six from LICs) from 32 countries. The multidomain SPI included 11 indicators on facilities and consumables, two on staffing, two on prioritisation, and eight on systems. Hospitals were scored from 23 (least prepared) to 115 points (most prepared). In the second phase, surgical preparedness was measured in 1632 hospitals by 4714 clinicians from 119 countries. 745 (45·6%) of 1632 hospitals were in MICs or LICs. The mean SPI score was 84·5 (95% CI 84·1–84·9), which varied between HIC (88·5 [89·0–88·0]), MIC (81·8 [82·5–81·1]), and LIC (66·8 [64·9–68·7]) settings. In the third phase, 1217 (74·6%) hospitals did not maintain their expected SVR during the COVID-19 pandemic, of which 625 (51·4%) were from HIC, 538 (44·2%) from MIC, and 54 (4·4%) from LIC settings. In the mixed-effects model, a 10-point increase in SPI corresponded to a 3·6% (95% CI 3·0–4·1; p<0·0001) increase in SVR. This was consistent in HIC (4·8% [4·1–5·5]; p<0·0001), MIC (2·8 [2·0–3·7]; p<0·0001), and LIC (3·8 [1·3–6·7%]; p<0·0001) settings. Interpretation: The SPI contains 23 indicators that are globally applicable, relevant across different system stressors, vary at a subnational level, and are collectable by front-line teams. In the case study of COVID-19, a higher SPI was associated with an increased planned surgical volume ratio independent of country income status, COVID-19 burden, and hospital type. Hospitals should perform annual self-assessment of their surgical preparedness to identify areas that can be improved, create resilience in local surgical systems, and upscale capacity to address elective surgery backlogs. Funding: National Institute for Health Research (NIHR) Global Health Research Unit on Global Surgery, NIHR Academy, Association of Coloproctology of Great Britain and Ireland, Bowel Research UK, British Association of Surgical Oncology, British Gynaecological Cancer Society, and Medtronic.
UR - http://www.scopus.com/inward/record.url?scp=85141287010&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(22)01846-3
DO - 10.1016/S0140-6736(22)01846-3
M3 - Article
C2 - 36328042
AN - SCOPUS:85141287010
SN - 0140-6736
VL - 400
SP - 1607
EP - 1617
JO - The Lancet
JF - The Lancet
IS - 10363
ER -