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The impact of social determinants of health (SDOH) on completing bariatric surgery at a single academic institution

  • Sabrena F. Noria,
  • Keeley J. Pratt,
  • Mahmoud Abdel-Rasoul,
  • Kayla Diaz,
  • Bayan Shalash,
  • Daniel Abul-Khoudoud,
  • Bradley Needleman,
  • Maximiliano Magallanes

摘要

Background

Underutilization of bariatric surgery is multifactorial. This study aimed to understand the association of SDOH on not achieving surgery.

Methods

1081 applications for primary MBS from January-December 2021 were stratified into those that completed surgery (COM; n = 415), in progress > 1-year (IP; n = 107), dropped out (DO; n = 379), and never started (NS; n = 180).

Using the American-Community-Survey results (2015–2020) and patient zip-codes, population differences in 4-domains of SDOH (demographic/social/housing/economic) were examined between COM versus the other groups. Additionally, using institutional MBSAQIP and EMR data, patient-specific differences in comorbidities were evaluated for COM versus IP/DO.

Univariate analysis using Kruskal–Wallis, chi-squared/Fisher’s exact tests were used for continuous and/or categorical variables. For patient-level analysis multinomial logistic regression was used to determine predictors of not achieving surgery. Hypothesis testing was conducted at an overall 5 percent type-I error rate (alpha = 0.05) and Bonferroni’s method was used to adjust for multiple comparisons.

Results

Compared to COM, IP-patients resided in zip-codes characterized by fewer married people (43% vs 46%; p = 0.019), lower education levels (49% vs 43%; p = 0.048), more households where rent was > 50% of household income (10% vs 8%, p = 0.002), and households below the poverty line (17.6% vs 14.5%, p = 0.017). At the patient-level, IP were more likely to be male (27.9% vs 14.9%; p = 0.014), publicly insured (44.9% vs 28.4%; p = 0.004), Black (35.5% vs 22.2%; p = 0.006), an active smoker (8.9% vs 2.2%; p = 0.018), have a higher BMI (49.6 vs 47.6; p = 0.01), and coronary intervention (5.8% vs 1.7%, p = 0.034). Comparison of COM vs DO was similar for both phases.

Multinomial multivariable logistic regression demonstrated higher BMI (OR = 1.03,[CI]:1.01–1.05, p = 0.001), males (OR = 1.9,[CI]:1.09–3.32, p = 0.024), smoking (OR = 4.58,[CI]:1.74–12.02, p = 0.002), and Medicaid (OR = 2.16,[CI]:1.33–3.49, p = 0.002) independently predicted not achieving surgery.

Conclusion

Patient-level data demonstrated social not clinical factors predicted surgery completion. Given zip-codes characterizing the IP/DO groups had a greater prevalence of social risk, more attention needs to be directed patient-level social risks.