Protected appointment-based waiting list strategies are associated with waiting time reductions in outpatient and community health services: A systematic review and meta-analysis

ObjectivesMany different approaches are used to manage demand and reduce waiting lists in outpatient and community health settings. This systematic review aimed to synthesise evidence for models of care which are based on the principle of protecting capacity for new patients.MethodsWe conducted a systematic search of Medline (Ovid), Embase, PyscINFO and CINAHL from inception until April 2024. Eligible studies included use of a protected appointment model in an outpatient and community health service and compared data on measures of waiting. Two reviewers independently extracted data and assessed risk of bias. Methodological quality was assessed using the Downs and Black checklist. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was used to evaluate evidence certainty for meta-analyses.ResultsA total of 26 studies were included in the review. Most studies described a specific, named model incorporating protected appointments, such as Open Access (n = 7), Advanced Access (n = 6), the Specific Timely Assessment and Triage Model (n = 6), and the Choice and Partnership Approach (n = 4). A single stepped wedge randomised controlled trial (n = 3,113) provided moderate certainty evidence of a large reduction in time from referral to first appointment (IRR -0.66, 95% CI -0.85 to -0.52), with a median reduction of 34%. Eight non-randomised studies of intervention (n = 43,655) provided moderate certainty evidence of a moderate to large reduction in waiting time (SMD = -0.66, 95% CI -0.95 to -0.36) with a weighted mean reduction of 81%. Studies that could not be included in the meta-analyses supported these findings. Five studies measured waiting list size and all reported reductions ranging from 44% to 98%. Other findings associated with interventions included increased service productivity and improved patient satisfaction.ConclusionsWaiting list reduction strategies incorporating protected appointments are associated with moderate to large reductions in waiting time in outpatient and community health services.

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Journal
Journal of Health Services Research & Policy
Published
2026-02-24
DOI
https://doi.org/10.1177/13558196261428359
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
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article

Protected appointment-based waiting list strategies are associated with waiting time reductions in outpatient and community health services: A systematic review and meta-analysis

Kate E. Noeske, Annie K. Lewis, Nicholas F. Taylor, Katherine E. Harding
Journal of Health Services Research & Policy
Healthcare Operations and Scheduling Optimization
article

Protected appointment-based waiting list strategies are associated with waiting time reductions in outpatient and community health services: A systematic review and meta-analysis

Kate E. Noeske, Annie K. Lewis, Nicholas F. Taylor, Katherine E. Harding
article en

Abstract

ObjectivesMany different approaches are used to manage demand and reduce waiting lists in outpatient and community health settings. This systematic review aimed to synthesise evidence for models of care which are based on the principle of protecting capacity for new patients.MethodsWe conducted a systematic search of Medline (Ovid), Embase, PyscINFO and CINAHL from inception until April 2024. Eligible studies included use of a protected appointment model in an outpatient and community health service and compared data on measures of waiting. Two reviewers independently extracted data and assessed risk of bias. Methodological quality was assessed using the Downs and Black checklist. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was used to evaluate evidence certainty for meta-analyses.ResultsA total of 26 studies were included in the review. Most studies described a specific, named model incorporating protected appointments, such as Open Access (n = 7), Advanced Access (n = 6), the Specific Timely Assessment and Triage Model (n = 6), and the Choice and Partnership Approach (n = 4). A single stepped wedge randomised controlled trial (n = 3,113) provided moderate certainty evidence of a large reduction in time from referral to first appointment (IRR -0.66, 95% CI -0.85 to -0.52), with a median reduction of 34%. Eight non-randomised studies of intervention (n = 43,655) provided moderate certainty evidence of a moderate to large reduction in waiting time (SMD = -0.66, 95% CI -0.95 to -0.36) with a weighted mean reduction of 81%. Studies that could not be included in the meta-analyses supported these findings. Five studies measured waiting list size and all reported reductions ranging from 44% to 98%. Other findings associated with interventions included increased service productivity and improved patient satisfaction.ConclusionsWaiting list reduction strategies incorporating protected appointments are associated with moderate to large reductions in waiting time in outpatient and community health services.

Journal of Health Services Research & Policy
La Trobe University (AU), Eastern Health (AU)
Partnerships for the goals
Openalex Percentile: Top 51%
Healthcare Operations and Scheduling Optimization
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