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Socioeconomic status influences participation in cancer prehabilitation and preparation for surgical recovery: A pooled retrospective analysis using a validated area-level socioeconomic status metric. | LitMetric

Socioeconomic status influences participation in cancer prehabilitation and preparation for surgical recovery: A pooled retrospective analysis using a validated area-level socioeconomic status metric.

Eur J Surg Oncol

School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada; Department of Anesthesia, McGill University, Montréal, QC, Canada; Department of Surgery, McGill University, Montreal, QC, Canada. Electronic address:

Published: February 2023

Background: Prehabilitation employs exercise, nutrition, and psychological interventions to optimize physiological status in preparation for surgery. First, we described the extent to which material deprivation index score (MDIS) influenced prehabilitation participation. Second, we evaluated the extent to which prehabilitation influenced recovery as compared to control.

Methods: Pooled patient records from prospective multimodal prehabilitation studies in oncologic surgery were retrospectively examined. Patient postal codes were linked to their MDIS, a validated area-level socioeconomic status (SES) metric, as quintiles 1-5 (1 = highest SES). Functional capacity was evaluated with the 6-min walking test (6MWT) at baseline, before, and 8 weeks post-surgery. Influence of prehabilitation on length of hospital stay (LOS) was explored using generalized linear models with a negative binomial distribution adjusted for age, sex, surgical population, and MDIS.

Results: Recruitment records were available from 2014 onwards, yielding 1013 eligible patients for prehabilitation participation with MDIS data. Fewer patients with a low SES enrolled (Q1:62% vs. Q5:47%; P = 0.01) and remained in prehabilitation studies (Q1: 59% vs. Q5: 45%; P = 0.07). Prehabilitation study records were available from 2008 onward, yielding 886 enrolled patients with MDIS data (n = 510 prehabilitation, n = 376 control). Preoperative 6MWT similarly improved by > 20 m in response to prehabilitation across SES strata (P < 0.05). Postoperative 6MWT could not be evaluated due to substantial missing data. Prehabilitation had a significant protective influence on LOS, as compared to control, in unadjusted and adjusted models [adjusted IRR:0.77 (95% CI:0.68 to 0.87; P < 0.001].

Conclusion: Findings suggest that prehabilitation is effective across all SES; however, participation across SES quintiles was not equal. Barriers to participation must be identified and addressed. Once these barriers are addressed, prehabilitation may reduce surgical disparities among SES.

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Source
http://dx.doi.org/10.1016/j.ejso.2022.10.023DOI Listing

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