Predicting 30-Day All-Cause Readmission Risk for Subjects Admitted With Pneumonia at the Point of Care.

BACKGROUND: The pneumonia 30-d readmission rate has been endorsed by the National Quality Forum as a quality metric. Hospital readmissions can potentially be lowered by improving inhospital care, transitions of care, and post-discharge disease management programs. The purpose of this study was to cr...

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Publicado en:Respiratory Care Vol. 63; no. 1; pp. 43 - 50
Autores principales: Hatipoğlu, Umur, Wells, Brian J., Chagin, Kevin, Joshi, Dhruv, Milinovich, Alex, Rothberg, Michael B.
Formato: research tables/charts Journal Article
Publicado: Mary Ann Liebert, Inc. Jan2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Mary Ann Liebert, Inc.
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        atl: Predicting 30-Day All-Cause Readmission Risk for Subjects Admitted With Pneumonia at the Point of Care.
      aug:
        au:
          Hatipoğlu, Umur
          Wells, Brian J.
          Chagin, Kevin
          Joshi, Dhruv
          Milinovich, Alex
          Rothberg, Michael B.
        affil: Respiratory Institute, Medicine Institute, Cleveland Clinic, Cleveland, Ohio
      sug:
        subj:
          Readmission
          Risk Assessment
          Pneumonia
          Human
          Clinical Indicators
          Patient Discharge
          Hospitalization
          Ohio
          Electronic Health Records
          Descriptive Statistics
          Aged
          Confidence Intervals
          Narcotics
          Albumins Blood
          International Normalized Ratio
          Blood Urea Nitrogen
          P-Value
          United States Centers for Medicare and Medicaid Services
          Comparative Studies
          After Care
          Adolescence
          Adult
          Data Analysis Software
          ROC Curve
          Middle Age
          Comorbidity
          Probability
          Calibration
          Retrospective Design
          Aged: 65+ years
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
      ab: BACKGROUND: The pneumonia 30-d readmission rate has been endorsed by the National Quality Forum as a quality metric. Hospital readmissions can potentially be lowered by improving inhospital care, transitions of care, and post-discharge disease management programs. The purpose of this study was to create an accurate prediction model for determining the risk of 30-d readmission at the point of discharge. METHODS: The model was created using a data set of 1,295 hospitalizations at the Cleveland Clinic Main Campus with pneumonia over 3 y. Candidate variables were limited to structured variables available in the electronic health record. The final model was compared with the Centers for Medicare and Medicaid Services (CMS) model among subjects 65 y of age and older (n = 628) and was externally validated. RESULTS: Three hundred thirty subjects (25%) were readmitted within 30 d. The final model contained 13 variables and had a bias-corrected C statistic of 0.74 (95% CI 0.71- 0.77). Number of admissions in the prior 6 months, opioid prescription, serum albumin during the first 24 h, international normalized ratio and blood urea nitrogen during the last 24 h were the predictor variables with the greatest weight in the model. In terms of discriminative performance, the Cleveland Clinic model outperformed the CMS model on the validation cohort (C statistic 0.69 vs 0.60, P = .042). CONCLUSIONS: The proposed risk prediction model performed better than the CMS model. Accurate readmission risk prediction at the point of discharge is feasible and can potentially be used to focus post-acute care interventions in a high-risk group of patients.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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