title: Post-discharge Follow-up Characteristics Associated With 30-Day Readmission After Heart Failure Hospitalization.
abstract: BACKGROUND
  Readmission within 30 days after hospitalization for heart failure (HF) is a major public health problem.
  
  
  OBJECTIVE
  To examine whether timing and type of post-discharge follow-up impacts risk of 30-day readmission in adults hospitalized for HF.
  
  
  METHODS
  Nested matched case-control study (January 1, 2006-June 30, 2013).
  
  
  METHODS
  A large, integrated health care delivery system in Northern California.
  
  
  METHODS
  Hospitalized adults with a primary diagnosis of HF discharged to home without hospice care.
  
  
  METHODS
  Outpatient visits and telephone calls with cardiology and general medicine providers in non-emergency department and non-urgent care settings were counted as follow-up care. Statistical adjustments were made for differences in patient sociodemographic and clinical characteristics, acute severity of illness, hospitalization characteristics, and post-discharge medication changes and laboratory testing.
  
  
  RESULTS
  Among 11,985 eligible adults, early initial outpatient contact within 7 days after discharge was associated with lower odds of readmission [adjusted odds ratio (OR)=0.81; 95% CI, 0.70-0.94], whereas later outpatient contact between 8 and 30 days after hospital discharge was not significantly associated with readmission (adjusted OR=0.99; 95% CI, 0.82-1.19). Initial contact by telephone was associated with lower adjusted odds of 30-day readmission (adjusted OR=0.85; 95% CI, 0.69-1.06) but was not statistically significant.
  
  
  CONCLUSIONS
  In adults discharged to home after hospitalization for HF, outpatient follow-up with a cardiology or general medicine provider within 7 days was associated with a lower chance of 30-day readmission.
authors.affiliation: *Division of Research, Kaiser Permanente Northern California, Oakland †Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, CA ‡Duke Clinical Research Institute, Duke University, Durham, NC §Departments of Epidemiology, Biostatistics and Medicine, University of California, San Francisco, San Francisco ∥Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA.
authors.forename: Keane K
authors.initials: KK
authors.lastname: Lee
authors.forename: Jingrong
authors.initials: J
authors.lastname: Yang
authors.forename: Adrian F
authors.initials: AF
authors.lastname: Hernandez
authors.forename: Anthony E
authors.initials: AE
authors.lastname: Steimle
authors.forename: Alan S
authors.initials: AS
authors.lastname: Go
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002140:California; D016022:Case-Control Studies; D019033:Delivery of Health Care, Integrated; D005260:Female; D006333:Heart Failure / Q000628:therapy*; D006801:Humans; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D009819:Office Visits / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000706:statistics & numerical data*; D010359:Patient Readmission / Q000706:statistics & numerical data*; D012307:Risk Factors; D017216:Telemedicine / Q000379:methods / Q000706:statistics & numerical data; D013689:Telephone; D013997:Time Factors