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Development and Validation of an Administrative Claims-based Measure for All-cause 30-day Risk-standardized Readmissions After Discharge From Inpatient Psychiatric Facilities.
Winterstein, Almut G; Bussing, Regina; Goodin, Amie; Xu, Dandan; Keenan, Megan; Turner, Kristen; Meyyur, Vinitha; Duseja, Reena; Campbell, Kyle.
Affiliation
  • Winterstein AG; Departments of Pharmaceutical Outcomes and Policy.
  • Bussing R; Epidemiology.
  • Goodin A; Psychiatry, University of Florida, Gainesville, FL.
  • Xu D; Departments of Pharmaceutical Outcomes and Policy.
  • Keenan M; Division of Biostatistics, Office of Surveillance and Biometrics, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD.
  • Turner K; Health Services Advisory Group (HSAG), Tampa, FL.
  • Meyyur V; Health Services Advisory Group (HSAG), Tampa, FL.
  • Duseja R; Centers for Medicare and Medicaid Services (CMS), Baltimore, MD.
  • Campbell K; Centers for Medicare and Medicaid Services (CMS), Baltimore, MD.
Med Care ; 58(3): 225-233, 2020 03.
Article in En | MEDLINE | ID: mdl-32106165
OBJECTIVE: The objective of this study was to develop and test a measure that estimates unplanned, 30-day, all-cause risk-standardized readmission rates (RSRRs) after inpatient psychiatric facility (IPF) discharge. PARTICIPANTS: We established a retrospective cohort of adults with a principal diagnosis of psychiatric illness or dementia discharged from IPFs to nonacute care settings, using 2012-2013 Medicare fee-for-service claims data. MEASURES: All-cause unplanned readmissions within 3-30 days post-IPF discharge were assessed by constructing then validating a parsimonious logistic regression model of 56 risk factors (selected via empirical data, systematic literature review, clinical expert opinion) for readmission using bootstrapping. RSRRs were calculated from the ratio of predicted versus expected readmission rates for each IPF using hierarchical regression. Measure reliability and validity were assessed via multiple strategies. RESULTS: The measure development cohort included 716,174 admissions to 1679 IPFs and 149,475 (20.9%) readmissions. Most readmissions (>80%) had principal diagnoses of mood, schizoaffective or substance use disorders, delirium/dementia, infections or drug/substance poisoning. Facility RSRRs ranged from 11.0% to 35.4%. The risk adjustment model showed good calibration and moderate discrimination similar to other readmission risk models (c statistic 0.66). Sensitivity analyses solidified the risk modeling approach. The intraclass correlation coefficient of estimated IPF RSRRs was 0.78, indicating good reliability. The measure identified 8.3% of hospitals as having better and 13.4% as having worse RSRRs than the national readmission rate. CONCLUSIONS: The measure provides an assessment of facility-level quality and insight into risk factors useful for informing preventive interventions. The measure will be included in the Centers for Medicare and Medicaid Services (CMS) Inpatient Psychiatric Quality Reporting program in 2019.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Psychiatric Department, Hospital / Quality Indicators, Health Care / Administrative Claims, Healthcare / Inpatients Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Med Care Year: 2020 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Psychiatric Department, Hospital / Quality Indicators, Health Care / Administrative Claims, Healthcare / Inpatients Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Med Care Year: 2020 Document type: Article Country of publication: Estados Unidos