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

dc.contributor.authorNIHR Global Health Unit on Global Surgery
dc.contributor.authorCOVIDSurg Collaborative
dc.contributor.organizationfi=kirurgia|en=Surgery|
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.contributor.organization-code1.2.246.10.2458963.20.97295082107
dc.converis.publication-id177044600
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/177044600
dc.date.accessioned2026-01-21T12:25:40Z
dc.date.available2026-01-21T12:25:40Z
dc.description.abstract<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Findings: </strong>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.</p><p><strong>Interpretation: </strong>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.</p>
dc.format.pagerange1607
dc.format.pagerange1617
dc.identifier.eissn1474-547X
dc.identifier.jour-issn0140-6736
dc.identifier.olddbid212472
dc.identifier.oldhandle10024/195490
dc.identifier.urihttps://www.utupub.fi/handle/11111/52135
dc.identifier.urnURN:NBN:fi-fe2023020225535
dc.language.isoen
dc.okm.affiliatedauthorGiordano, Salvatore
dc.okm.affiliatedauthorLule, Herman
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3126 Surgery, anesthesiology, intensive care, radiologyen_GB
dc.okm.discipline3126 Kirurgia, anestesiologia, tehohoito, radiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1016/S0140-6736(22)01846-3
dc.relation.ispartofjournalLancet
dc.relation.issue10363
dc.relation.volume400
dc.source.identifierhttps://www.utupub.fi/handle/10024/195490
dc.titleElective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
dc.year.issued2022

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