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AB0182 (2024)
‘RIGHT PERSON, RIGHT TIME, RIGHT PLACE’ UTILISING AN ADVANCED CLINICAL PRIORITISATION MODEL TO STREAMLINE INFLAMMATORY ARTHRITIS REFERRALS
Keywords: Physical therapy/Physiotherapy, Best practices, Prognostic factors, Validation, Health services research
B. Lynch1, J. Malone2, G. Fitzgerald3
1Galway University, Galway, Ireland
2Galway University Hospital, Ireland, Galway, Ireland
3Galway University Hospital, Galway, Ireland

Background: Traditionally, rheumatology referral prioritisation depended solely on information contained in referral letters. Often, referrals lacked sufficient information to enable a decision about disease activity. This led to patients not being seen within appropriate timeframes, reduced clinic efficiency and reduced capacity. A standardised system of prioritisation called Advanced Clinical Prioritisation (ACP) was introduced for the Inflammatory Arthritis (IA) Waiting Lists (WL).


Objectives: To align patients with the most appropriate care pathway thus increasing clinic efficiency and optimising capacity for specialist services versus traditional methods of prioritisation.


Methods: A standardised assessment proforma was designed, containing recognised symptoms of IA. Clinical Specialist Physiotherapists (CSP) contacted all patients referred to IA clinics between November 2022 and November 2023 in a virtual clinic setting to complete this ACP assessment. High-scoring patients were fast-tracked to a consultant-led clinic. Lower-scoring patients were directed to a CSP-led clinic with consultant support.


Results: A total of 414 phone calls were made to 364 patients. 61% (n=221) patients were deemed appropriate for the Consultant-led IA clinic, (n=151 from the urgent, n=70 from the soon WL). Additionally, 28% (n=102; 57 from the urgent, 45 from the soon WL) were directed to the CSP clinic and 11% (n=41; 29 from the urgent, 12 from the soon WL) were discharged directly from the ACP clinic (Figure 1). Of the 196 patients booked in the Consultant-led IA clinic in this timeframe, 52% (n=102) were diagnosed with an IA (Figure 2). 40% (n=78) did not have an IA diagnoses, with a Did Not Attend (DNA) rate of 8% (n=16). In the CSP-led clinic a total of 72 patients were booked. Of this cohort 18% (n=12) were diagnosed with IA, 82% (n=54) did not have an inflammatory diagnosis. There was a 9% (n=6) DNA rate. Had the traditional prioritisation system of urgent and soon been used, this method would have gleaned 43% (n=83) IA diagnoses from the urgent WL, and 32% (n=31) from the soon WL.


Conclusion: Utilising an ACP method to streamline referrals for IA to appropriate clinics is an effective method, providing a standardised pathway of care by aligning patients with the most appropriate clinic.


REFERENCES: NIL.


Acknowledgements: NIL.


Disclosure of Interests: None declared.


DOI: 10.1136/annrheumdis-2024-eular.6342
Keywords: Physical therapy/Physiotherapy, Best practices, Prognostic factors, Validation, Health services research
Citation: , volume 83, supplement 1, year 2024, page 1324
Session: Inflammatory arthritis (Publication Only)