K E Harding1, J Bottrell2. 1. Allied Health Clinical Research Office, Eastern Health, Box Hill, VIC, Australia. Electronic address: katherine.harding@easternhealth.org.au. 2. Physiotherapy Department, Maroondah Hospital, Ringwood East, VIC, Australia.
Abstract
OBJECTIVES: Waiting lists with triage systems are commonly used in outpatient physiotherapy but may not be effective. Could an alternative model of access and triage reduce waiting times over a sustained period with no additional resources? DESIGN: Observational study comparing retrospective data for 11 months prior to the introduction of a new model of access compared with data for the equivalent 11 months afterwards. PARTICIPANTS: Patients referred to a physiotherapy outpatient department at an outer metropolitan hospital before (n=721) and after (n=707) the introduction of the new model. INTERVENTION: A model of access and triage known as 'specific timely appointments for triage' (STAT), in which appointment slots are preserved in advance specifically for new patients based on calculation of average demand. OUTCOME MEASURES: Time from referral to first assessment, number of appointments per patient, occasions of non-attendance and total length of stay in the service. RESULTS: Median time from referral to first appointment was 18 days [interquartile range (IQR) 11 to 33 days] in the pre-intervention group, compared with 14 days (IQR 9 to 21 days) in the post-intervention group (P<0.01). The number of physiotherapy appointments also reduced (IQR 2 to 6 vs IQR 1 to 4; P<0.01). There were no changes in non-attendance rates or total time in the service. CONCLUSION: Waiting time for outpatient physiotherapy was 22% lower in the year following the introduction of the STAT model. While acknowledging the limitations of a pre- and post-measurement design, this model may have potential for reducing waiting times for outpatient physiotherapy without additional resources.
OBJECTIVES: Waiting lists with triage systems are commonly used in outpatient physiotherapy but may not be effective. Could an alternative model of access and triage reduce waiting times over a sustained period with no additional resources? DESIGN: Observational study comparing retrospective data for 11 months prior to the introduction of a new model of access compared with data for the equivalent 11 months afterwards. PARTICIPANTS: Patients referred to a physiotherapy outpatient department at an outer metropolitan hospital before (n=721) and after (n=707) the introduction of the new model. INTERVENTION: A model of access and triage known as 'specific timely appointments for triage' (STAT), in which appointment slots are preserved in advance specifically for new patients based on calculation of average demand. OUTCOME MEASURES: Time from referral to first assessment, number of appointments per patient, occasions of non-attendance and total length of stay in the service. RESULTS: Median time from referral to first appointment was 18 days [interquartile range (IQR) 11 to 33 days] in the pre-intervention group, compared with 14 days (IQR 9 to 21 days) in the post-intervention group (P<0.01). The number of physiotherapy appointments also reduced (IQR 2 to 6 vs IQR 1 to 4; P<0.01). There were no changes in non-attendance rates or total time in the service. CONCLUSION: Waiting time for outpatient physiotherapy was 22% lower in the year following the introduction of the STAT model. While acknowledging the limitations of a pre- and post-measurement design, this model may have potential for reducing waiting times for outpatient physiotherapy without additional resources.
Authors: Katherine E Harding; Jennifer J Watts; Leila Karimi; Mary O'Reilly; Bridie Kent; Michelle Kotis; Sandra G Leggat; Jackie Kearney; Nicholas F Taylor Journal: BMC Health Serv Res Date: 2016-08-09 Impact factor: 2.655
Authors: Katherine E Harding; Sandra G Leggat; Jennifer J Watts; Bridie Kent; Luke Prendergast; Michelle Kotis; Mary O'Reilly; Leila Karimi; Annie K Lewis; David A Snowdon; Nicholas F Taylor Journal: BMC Med Date: 2018-10-19 Impact factor: 8.775
Authors: Katherine E Harding; David A Snowdon; Annie K Lewis; Sandra G Leggat; Bridie Kent; Jennifer J Watts; Nicholas F Taylor Journal: BMC Health Serv Res Date: 2019-05-03 Impact factor: 2.655
Authors: Katherine E Harding; David A Snowdon; Luke Prendergast; Annie K Lewis; Bridie Kent; Sandy F Leggat; Nicholas F Taylor Journal: BMC Health Serv Res Date: 2020-10-21 Impact factor: 2.655