Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors?
Abstract Background The HOSPITAL Risk Score (HRS) predicts 30-day hospital readmissions and is internationally validated. Social determinants of health (SDOH) such as low socioeconomic status (SES) affect health outcomes and have been postulated to affect readmission rates. We hypothesized that addi...
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| Format: | Article |
| Language: | English |
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BMC
2021-01-01
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| Series: | BMC Health Services Research |
| Online Access: | https://doi.org/10.1186/s12913-020-05989-7 |
| _version_ | 1818730861191757824 |
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| author | Shirlene Obuobi Rhys F. M. Chua Stephanie A. Besser Corey E. Tabit |
| author_facet | Shirlene Obuobi Rhys F. M. Chua Stephanie A. Besser Corey E. Tabit |
| author_sort | Shirlene Obuobi |
| collection | DOAJ |
| description | Abstract Background The HOSPITAL Risk Score (HRS) predicts 30-day hospital readmissions and is internationally validated. Social determinants of health (SDOH) such as low socioeconomic status (SES) affect health outcomes and have been postulated to affect readmission rates. We hypothesized that adding SDOH to the HRS could improve its predictive accuracy. Methods Records of 37,105 inpatient admissions at the University of Chicago Medical Center were reviewed. HRS was calculated for each patient. Census tract-level SDOH then were combined with the HRS and the performance of the resultant “Social HRS” was compared against the HRS. Patients then were assigned to 1 of 7 typologies defined by their SDOH and a balanced dataset of 14,235 admissions was sampled from the larger dataset to avoid over-representation by any 1 sociodemographic group. Principal component analysis and multivariable linear regression then were performed to determine the effect of SDOH on the HRS. Results The c-statistic for the HRS predicting 30-day readmission was 0.74, consistent with published values. However, the addition of SDOH to the HRS did not improve the c-statistic (0.71). Patients with unfavorable SDOH (no high-school, limited English, crowded housing, disabilities, and age > 65 yrs) had significantly higher HRS (p < 0.05 for all). Overall, SDOH explained 0.2% of the HRS. Conclusion At an urban tertiary care center, the addition of census tract-level SDOH to the HRS did not improve its predictive power. Rather, the effects of SDOH are already reflected in the HRS. |
| first_indexed | 2024-12-17T23:08:30Z |
| format | Article |
| id | doaj.art-f52b74badf8541cbb6922e126f623745 |
| institution | Directory Open Access Journal |
| issn | 1472-6963 |
| language | English |
| last_indexed | 2024-12-17T23:08:30Z |
| publishDate | 2021-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj.art-f52b74badf8541cbb6922e126f6237452022-12-21T21:29:11ZengBMCBMC Health Services Research1472-69632021-01-012111810.1186/s12913-020-05989-7Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors?Shirlene Obuobi0Rhys F. M. Chua1Stephanie A. Besser2Corey E. Tabit3Department of Medicine, University of ChicagoSection of Cardiology, Department of MedicineSection of Cardiology, Department of MedicineSection of Cardiology, Department of MedicineAbstract Background The HOSPITAL Risk Score (HRS) predicts 30-day hospital readmissions and is internationally validated. Social determinants of health (SDOH) such as low socioeconomic status (SES) affect health outcomes and have been postulated to affect readmission rates. We hypothesized that adding SDOH to the HRS could improve its predictive accuracy. Methods Records of 37,105 inpatient admissions at the University of Chicago Medical Center were reviewed. HRS was calculated for each patient. Census tract-level SDOH then were combined with the HRS and the performance of the resultant “Social HRS” was compared against the HRS. Patients then were assigned to 1 of 7 typologies defined by their SDOH and a balanced dataset of 14,235 admissions was sampled from the larger dataset to avoid over-representation by any 1 sociodemographic group. Principal component analysis and multivariable linear regression then were performed to determine the effect of SDOH on the HRS. Results The c-statistic for the HRS predicting 30-day readmission was 0.74, consistent with published values. However, the addition of SDOH to the HRS did not improve the c-statistic (0.71). Patients with unfavorable SDOH (no high-school, limited English, crowded housing, disabilities, and age > 65 yrs) had significantly higher HRS (p < 0.05 for all). Overall, SDOH explained 0.2% of the HRS. Conclusion At an urban tertiary care center, the addition of census tract-level SDOH to the HRS did not improve its predictive power. Rather, the effects of SDOH are already reflected in the HRS.https://doi.org/10.1186/s12913-020-05989-7 |
| spellingShingle | Shirlene Obuobi Rhys F. M. Chua Stephanie A. Besser Corey E. Tabit Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? BMC Health Services Research |
| title | Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? |
| title_full | Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? |
| title_fullStr | Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? |
| title_full_unstemmed | Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? |
| title_short | Social determinants of health and hospital readmissions: can the HOSPITAL risk score be improved by the inclusion of social factors? |
| title_sort | social determinants of health and hospital readmissions can the hospital risk score be improved by the inclusion of social factors |
| url | https://doi.org/10.1186/s12913-020-05989-7 |
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