Implementing the AMI READMITS risk assessment score to increase referrals among patients with Type I myocardial infarction

Nailya Muganlinskaya, Laurie Posey, Diane Vail Skojec, Jon Rodney Resar

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Assessing the risk characteristics of patients with acute myocardial infarction (MI) can help providers make appropriate referral decisions. This quality improvement project sought to improve timely, appropriate referrals among patients with type I MI by adding a risk assessment, the AMI READMITS score, to the existing referral protocol. Methods: Patients' chart data were analyzed to assess changes in referrals and timely follow-up appointments from pre-intervention to intervention. A survey assessed providers' satisfaction with the new referral protocol. Results: Among 57 patients (n = 29 preintervention; n = 28 intervention), documented referrals increased significantly from 66% to 89% (χ2 = 4.571, df = 1, P = 0.033); and timely appointments increased by 10%, which was not significant (χ2 = 3.550, df = 2, P = 0.169). Most providers agreed that the new protocol was easy to use, useful in making referral decisions, and improved the referral process. All agreed the risk score should be incorporated into electronic clinical notes. Provider opinions related to implementing the risk score in clinical practice were mixed. Qualitative feedback suggests this was due to limited validation of the AMI READMITS score in reducing readmissions. Conclusions: Our risk-based referral protocol helped to increase appropriate referrals among patients with type I MI. Provider adoption may be enhanced by incorporating the protocol into electronic clinical notes. Research to further validate the accuracy of the AMI READMITS score in predicting readmissions may support adoption of the protocol in clinical practice.

Original languageEnglish (US)
Pages (from-to)90-96
Number of pages7
JournalJournal of Clinical Outcomes Management
Volume28
Issue number2
DOIs
StatePublished - Mar 2021

Keywords

  • Chart review
  • Quality improvement
  • Readmission risk
  • Referral process
  • Risk assessment
  • Type I myocardial infarction

ASJC Scopus subject areas

  • Health Policy

Fingerprint

Dive into the research topics of 'Implementing the AMI READMITS risk assessment score to increase referrals among patients with Type I myocardial infarction'. Together they form a unique fingerprint.

Cite this