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      Staff perspectives of a model of access and triage for reducing waiting time in ambulatory services: a qualitative study

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          Abstract

          Background

          Specific Timely Appointments for Triage (STAT) is an intervention designed to reduce waiting time in community outpatient health services, shown to be effective in a large stepped wedge cluster randomised controlled trial. STAT combines initial strategies to reduce existing wait lists with creation of a specific number of protected appointments for new patients based on demand. It offers an alternative to the more traditional methods of demand management for these services using waiting lists with triage systems. This study aimed to explore perceptions of clinicians and administrative staff involved in implementing the model.

          Method

          Semi-structured interviews with 20 staff members who experienced the change to STAT were conducted by an independent interviewer. All eight sites involved in the original trial and all professional disciplines were represented in the sample. Data were coded and analysed thematically.

          Results

          Participants agreed that shorter waiting time for patients was the main advantage of the STAT model, and that ongoing management of caseloads was challenging. However, there was variation in the overall weight placed on these factors, and therefore the participants’ preference for the new or previous model of care. Perceptions of whether the advantages outweighed the disadvantages were influenced by five sub-themes: staff perception of how much waiting matters to the patient, prior exposure to the management of waiting list, caseload complexity, approach and attitude to the implementation of STAT and organisational factors.

          Conclusions

          The STAT model has clear benefits but also presents challenges for staff members. The findings of this study suggest that careful preparation and management of change and active planning for known fluctuations in supply and demand are likely to help to mitigate sources of stress and improve the likelihood of successful implementation of the STAT model for improving waiting times for patients referred to community outpatient services.

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          Most cited references18

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          Matrix analysis as a complementary analytic strategy in qualitative inquiry.

          In the current health care environment, researchers are asked to share meaningful results with interdisciplinary professional audiences, concerned community members, students, policy makers, planners, and financial officers. Emphasis is placed on effective health care outcomes and evidence, especially for underserved and vulnerable populations. Any research strategy that facilitates the clear, accurate communication of findings and voices will likely benefit groups targeted for intervention with scarce resources. In this example, matrix analysis contributes to the display, interpretation, pragmatic evaluation, and dissemination of findings in a study of rural elders. The author proposes matrix analysis as a strategy to advance knowledge and enhance the development of evidence in qualitative research.
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            The Analytic Challenge in Interpretive Description

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              A systematic review of the effect of waiting for treatment for chronic pain.

              In many countries timely access to care is a growing problem. As medical costs escalate health care resources must be prioritized. In this context there is an increasing need for benchmarks and best practices in wait-time management. The Canadian Pain Society struck a Task Force in December 2005 to identify benchmarks for acceptable wait-times for treatment of chronic pain. As part of the mandate a systematic review of the literature regarding the relationship between waiting times, health status and health outcomes for patients awaiting treatment for chronic pain was undertaken. Twenty-four studies met the inclusion criteria for the review. The current review supports that patients experience a significant deterioration in health related quality of life and psychological well being while waiting for treatment for chronic pain during the 6 months from the time of referral to treatment. It is unknown at what point this deterioration begins as results from the 14 trials involving wait-times of 10 weeks or less yielded mixed results with wait-times amounting to as little as 5 weeks, associated with deterioration. It was concluded that wait-times for chronic pain treatment of 6 months or longer are medically unacceptable. Further study is necessary to determine at what stage the deterioration begins from the onset of pain to treatment and the impact of waiting on treatment outcomes. Most important is the need to improve access to appropriate care for patients with chronic pain, an escalating public health care problem with significant human and economic costs.
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                Author and article information

                Contributors
                61 3 9091 8880 , katherine.harding@easternhealth.org.au
                david.snowdon@easternhealth.org.au
                annie.lewis@easternhealth.org.au
                s.leggat@latrobe.edu.au
                bridie.kent@plymouth.ac.uk
                j.watts@deakin.edu.au
                n.taylor@latrobe.edu.au
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                3 May 2019
                3 May 2019
                2019
                : 19
                : 283
                Affiliations
                [1 ]ISNI 0000 0004 0379 3501, GRID grid.414366.2, Allied Health Clinical Research Office, Eastern Health, ; Level 2/5 Arnold Street, Box Hill, VIC 3128 Australia
                [2 ]ISNI 0000 0001 2342 0938, GRID grid.1018.8, La Trobe University, ; Kingsbury Drive, Bundoora, VIC 3086 Australia
                [3 ]ISNI 0000 0001 2219 0747, GRID grid.11201.33, Plymouth University, ; Drake Circus, Plymouth, Devon PL4 8AA UK
                [4 ]ISNI 0000 0001 0526 7079, GRID grid.1021.2, Deakin University, ; 221 Burwood Highway, Burwood, VIC 3125 Australia
                Author information
                http://orcid.org/0000-0003-0207-7071
                Article
                4123
                10.1186/s12913-019-4123-0
                6500050
                31053118
                8bf96d0c-1b63-400c-9722-9f0d70f61b47
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 30 October 2018
                : 24 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1076777
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Health & Social care
                waiting lists,access,appointments and schedules,outpatients,community health,clinician experience,qualitative

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