Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries

• Main Authors: Glasbey, James C, Abbott, Tom EF, Ademuyiwa, Adesoji, Adisa, Adewale, Alameer, Ehab, Alshryda, Sattar, Augestad, Knut Magne, Søreide, Kjetil, Singh, Banipal Gurpreet, Arnaud, Alexis P, Bankhead-Kendall, B, Abou Chaar, MK, Chaudhry, Daoud, Costas-Chavarri, Ainhoa, Cunha, MF, Davies, Justine I, Desai, A, Elhadi, Muhammed, Fiore, Marco, Fitzgerald, J. Edward, Fourtounas, M, Fowler, Alex James, Futaba, Kay, Gallo, Gaetano, Ghosh, Dhruva, Gujjuri, RR, Hamilton, Rebecca, Haque, Parvez, Harrison, Ewen M, Hutchinson, Peter, Hyman, Gabriella, Isik, Arda, Jayarajah, Umesh, Kaafarani, Haytham MA, Kadir, Bryar, Lawani, Ismail, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Lorena, Maria Aguilera, Mann, Harvinder, Martin, Janet, Mazingi, Dennis, McClain, Craig D, McLean, Kenneth A, Meara, John G, Ramos-De la Medina, Antonio, Mengesha, Mengistu, Minaya, Ana, Modolo, Maria Marta, Moore, Rachel
• Format: Article
• Language: English

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