Objectives: The objective of our study was to use the parameters of social vulnerability index (SVI) to observe their association with the 30-day hospital readmissions in the heart failure population. Methods: Data required for analysis were extracted from the electronic medical record. The geographic SVI data was then merged with the clinical data. Qualitative variables and reported as frequency and quantitative variables and reported as the mean ± standard deviation. Variables from univariate analysis with a P value of ≤ 0.10 were evaluated using multivariate logistic regression with stepwise backward variable selection and receiver operating curve (ROC) analysis. Results: The odds ratio of readmission predicted by HOSPITAL score was 1.137 (P value = 0.004, 95% CI = 1.041-1.241). SVI parameter recording disability showed odds ratio of 1.521 (P value = 0.006, 95% CI = 1.125-2.058) and SVI parameter tracking vehicle ownership showed odds ratio of 15.355 (P value = 0.014, 95% CI = 1.755 – 134.383).The ROCs were generated for three scenarios: (i) HOSPITAL score only which had area under the curve (AUC)of 0.702 (P value = 0.015), (ii) SVI indicators tracking vehicle ownership and disability resulted in the AUC of 0.589 (P value = 0.016), and (iii) all of the above combined increased the AUC increased to 0.718 (P value = 0.015). Conclusions: Two social parameters (limited vehicle access and prevalence of disability) from the SVI showed a strong association with 30-day hospital readmissions.
CITATION STYLE
Regmi, M. R., Tandan, N., Parajuli, P., Bhattarai, M., Maini, R., Kulkarni, A., & Robinson, R. (2021). Social vulnerability indices as a risk factor for heart failure readmissions. Clinical Medicine and Research, 19(3), 116–122. https://doi.org/10.3121/CMR.2021.1603
Mendeley helps you to discover research relevant for your work.