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Closing the Loop on Electronic Referrals: A Quality Improvement Initiative Using the Care Coordination Model
Jennifer C Fabre1, Pamela A Andresen, Gary M Wiltz
1Teche Action Board dba Teche Action Clinic, Franklin, Louisiana (Drs Fabre and Wiltz); and Marcella Niehoff School of Nursing, Loyola University Chicago, Illinois (Dr Andresen).
Many patients do not complete specialty care referrals, especially vulnerable populations. This initiative improved electronic referral completion rates by enhancing patient support and organizational accountability.
Area of Science:
- Health Services Research
- Quality Improvement Science
- Health Informatics
Background:
- Primary care providers refer approximately one-third of patients to specialty care.
- Nearly 25% of these referrals are never completed, with higher rates among underserved populations.
- Federally qualified health centers face significant challenges in specialty care access, with referral completion rates as low as 73%.
Purpose of the Study:
- To implement and evaluate evidence-based interventions to improve electronic referral processes.
- To enhance patient support and organizational accountability within the referral pathway.
- To reduce incomplete referral rates and improve access to specialty care.
Main Methods:
- A quality improvement initiative was designed using the Care Coordination Model.
- Evidence-based interventions focused on patient support and organizational accountability for electronic referrals.
- The study focused on improving the effectiveness of electronic referral systems.
Main Results:
- The initiative successfully implemented interventions to address electronic referral challenges.
- Improvements in patient support and organizational accountability were targeted.
- The study aimed to mitigate risks associated with incomplete referrals.
Conclusions:
- Effective electronic referral processes are crucial for improving health outcomes.
- Addressing referral completion disparities is essential for health equity.
- Quality improvement initiatives can optimize specialty care access and patient care coordination.
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