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      Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial

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          Abstract

          Background

          Timely access is a challenge for providers of outpatient and community-based health services, as seen by the often lengthy waiting lists to manage demand. The Specific Timely Appointments for Triage (STAT) model, an alternative approach for managing access and triage, reduced waiting time by 34% in a stepped wedge cluster randomised controlled trial involving 8 services and more than 3000 participants. Follow up periods ranged from 3 to 10 months across the participating services in accordance with the stepped wedge design. This study aimed to determine whether outcomes were sustained for a full 12 months after implementation of the STAT model at each site.

          Methods

          Routinely collected service data were obtained for a total of 12 months following implementation of the STAT model at each of the 8 services that participated in a stepped wedge cluster randomised controlled trial. The primary outcome was time to first appointment. Secondary outcomes included non-attendance rates, time to second appointment and service use over 12 weeks. Outcomes were compared to pre-intervention data from the original trial, modelled using generalised linear mixed effects models accounting for clustering of sites.

          Results

          A 29% reduction in waiting time could be attributed to STAT over 12 months, compared to 34% in the original trial. A reduction in variability in waiting time was sustained. There were no significant changes in time to second appointment or in the number of missed appointments in the extended follow up period.

          Conclusions

          STAT is an effective strategy for reducing waiting time in community-based outpatient services. At 12 months, small reductions in the overall effect are apparent, but reductions in variability are sustained, suggesting that people who previously waited the longest benefit most from the STAT model.

          Trial registration

          This is a 12-month follow up of a stepped wedge cluster randomised controlled trial that was registered with the Australia and New Zealand Clinical Trials Registry ( ACTRN12615001016527).

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          Most cited references19

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          The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting

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            Why we don't come: patient perceptions on no-shows.

            Patients who schedule clinic appointments and fail to keep them have a negative impact on the workflow of a clinic in many ways. This study was conducted to identify the reasons patients in an urban family practice setting give for not keeping scheduled appointments.
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              Analysis and reporting of stepped wedge randomised controlled trials: synthesis and critical appraisal of published studies, 2010 to 2014

              Background Stepped wedge cluster randomised trials introduce interventions to groups of clusters in a random order and have been used to evaluate interventions for health and wellbeing. Standardised guidance for reporting stepped wedge trials is currently absent, and a range of potential analytic approaches have been described. Methods We systematically identified and reviewed recently published (2010 to 2014) analyses of stepped wedge trials. We extracted data and described the range of reporting and analysis approaches taken across all studies. We critically appraised the strategy described by three trials chosen to reflect a range of design characteristics. Results Ten reports of completed analyses were identified. Reporting varied: seven of the studies included a CONSORT diagram, and only five also included a diagram of the intervention rollout. Seven assessed the balance achieved by randomisation, and there was considerable heterogeneity among the approaches used. Only six reported the trend in the outcome over time. All used both ‘horizontal’ and ‘vertical’ information to estimate the intervention effect: eight adjusted for time with a fixed effect, one used time as a condition using a Cox proportional hazards model, and one did not account for time trends. The majority used simple random effects to account for clustering and repeat measures, assuming a common intervention effect across clusters. Outcome data from before and after the rollout period were often included in the primary analysis. Potential lags in the outcome response to the intervention were rarely investigated. We use three case studies to illustrate different approaches to analysis and reporting. Conclusions There is considerable heterogeneity in the reporting of stepped wedge cluster randomised trials. Correct specification of the time-trend underlies the validity of the analytical approaches. The possibility that intervention effects vary by cluster or over time should be considered. Further work should be done to standardise the reporting of the design, attrition, balance, and time-trends in stepped wedge trials.
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                Author and article information

                Contributors
                katherine.harding@easternhealth.org.au
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                21 October 2020
                21 October 2020
                2020
                : 20
                : 968
                Affiliations
                [1 ]GRID grid.414366.2, ISNI 0000 0004 0379 3501, Allied Health Clinical Rsearch Office, , Eastern Health, ; Level 2/5 Arnold Street, Box Hill, VIC 3128 Australia
                [2 ]GRID grid.1018.8, ISNI 0000 0001 2342 0938, La Trobe University, ; Kingsbury Drive, Bundoora, VIC 3086 Australia
                [3 ]GRID grid.11201.33, ISNI 0000 0001 2219 0747, Drake Circus, , Plymouth University, ; Plymouth, Devon PL4 8AA UK
                Author information
                http://orcid.org/0000-0003-0207-7071
                Article
                5824
                10.1186/s12913-020-05824-z
                7579912
                33087110
                2e772ea1-9c40-4434-a2c7-a1a7a9e8f185
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 March 2020
                : 15 October 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1076777
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003747, Department of Health, State Government of Victoria;
                Award ID: NA
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                outpatients,community health,waiting lists,triage,appointments and schedules
                Health & Social care
                outpatients, community health, waiting lists, triage, appointments and schedules

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