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Re-Admission Rates: Population Characteristics and Data Accuracy

Re-Admission Rates: Population Characteristics and Data Accuracy . Jay Ford Tim Conner. 2013 WI Mental Health Collaborative Counties: 30 Day Readmission Rates. 2013 WI Mental Health Collaborative Counties: Readmission Rates by Day Range.

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Re-Admission Rates: Population Characteristics and Data Accuracy

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  1. Re-Admission Rates: Population Characteristics and Data Accuracy Jay Ford Tim Conner

  2. 2013 WI Mental Health Collaborative Counties: 30 Day Readmission Rates

  3. 2013 WI Mental Health Collaborative Counties: Readmission Rates by Day Range

  4. 2013 Non WI Mental Health Collaborative Counties: Readmission Rates by Day Range

  5. 2013 WI Mental Health Collaborative Counties: Readmission Rates by Day Range

  6. Comparison Groups

  7. Selected Comparisons for Patients with a 30 day Readmission • Discharge Reason • BRC Categorization of Severity of Need • Commitment Status • Presenting Problem • Received Community Support in 1 to 2 Months of Discharge

  8. Comparison General Statements • Individuals with a referral related discharge status often have higher 30 day readmission rates. • In certain counties, individuals who complete treatment but with moderate not major improvements have higher 30 day readmission rates. • In some counties, an individual who has a voluntary commitment has a higher 30 day readmission rate.

  9. Comparison General Statements • The absences of follow-up community services within 1 to 2 months of discharge is associated with higher 30 day readmission rates in some counties. • Individuals with a BRC severity related to short-term situational services tend to have higher 30 day readmission rates. • An individual’s presenting problem in conjunction with other factors may indicate an increased likelihood of a 30 day readmission.

  10. Quick Review of Comparison Tables

  11. Impact of Missing Data • BRC Severity (11%) • Client Characteristics (10% for 1st, 80% for 2nd & 94% for 3rd) • Presenting Problem (14% for 1st, 38% for 2nd & 94% for 3rd) • Criminal Justice, Employment, GAF Scores, Health Status, Living Situation and Suicide Risk missing for at least 93% of cases ranging to 100% • Flag for service follow-up missing from at least 84% of individual monthly cases but none missing from follow-up in 1st two months

  12. Impact of Missing Data

  13. Impact of Missing Data

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