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A Prospective Observational Study Assessing the Impacts of Health Literacy and Psychosocial Determinants of Health on 30-day Readmission Risk.
Deshpande, Ojas A; Tawfik, John A; Namavar, Aram A; Nguyen, KimNgan P; Vangala, Sitaram S; Romero, Tahmineh; Parikh, Neil N; Dowling, Erin P.
Afiliación
  • Deshpande OA; University of California, Los Angeles, CA, USA.
  • Tawfik JA; California Health Sciences University College of Osteopathic Medicine, San Bernardino, CA, USA.
  • Namavar AA; University of California, Los Angeles, CA, USA.
  • Nguyen KP; California Health and Science University - School of Osteopathic Medicine, Clovis, CA, USA.
  • Vangala SS; University of California, Los Angeles, CA, USA.
  • Romero T; University of California, San Diego, CA, USA.
  • Parikh NN; University of California, Los Angeles, CA, USA.
  • Dowling EP; University of California, Los Angeles, CA, USA.
J Patient Exp ; 9: 23743735221079140, 2022.
Article en En | MEDLINE | ID: mdl-35187225
Our objective was to assess the utility of an assessment battery capturing health literacy (HL) and biopsychosocial determinants of health in predicting 30-day readmission in comparison to a currently well-adopted readmission risk calculator. We also sought to capture the distribution of inpatient HL, with emphasis on inadequate and marginal HL (an intermediate HL level). A prospective observational study was conducted to obtain HL and biopsychosocial data on general medicine inpatients admitted to the UCLA health system. Five hundred thirty-seven subjects were tracked prospectively for 30-day readmission after index hospitalization. HL was significantly better at predicting readmission compared to LACE + (Length, admission acuity, comorbidities, emergency room visits) alone (P = .013). A multivariate model including education, insurance, and language comfort was a strong predictor of adequate HL (P < .001). In conclusion, HL offered significant improvement in risk stratification in comparison to LACE + alone. Patients with marginal HL were high-risk, albeit difficult to characterize. Incorporating robust HL and biopsychosocial determinant assessments may allow hospital systems to allocate educational resources towards at-risk patients, thereby mitigating readmission risk.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Patient Exp Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Patient Exp Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos