Sustainability of an intervention to reduce waiting for access to an epilepsy outpatient clinic.

Purpose: Delays in outpatient specialist neurologist care for people with epilepsy are common despite recommendations for prompt access. There is evidence to suggest that there are interventions that can minimise waitlists and waiting time. However, little is known about whether such interventions can result in sustained improvements in waiting. The aim of this study was to determine the extent to which an intervention to reduce waiting in an epilepsy specialist outpatient clinic demonstrated sustained outcomes two years after the intervention was implemented. Methods: This observational study analysed routinely collected epilepsy clinic data over three study periods: pre-intervention, post-intervention and at two-year follow-up. The intervention, Specific Timely Assessment and Triage (STAT), combined a short-term backlog reduction strategy and creation of protected appointments for new referrals based on analysis of demand. After the initial intervention, there was no further active intervention in the following two years. The primary outcome was waiting measured by 1.) waiting time for access to a clinic appointment, defined as the number of days between referral and first appointment for all patients referred to the epilepsy clinic during the three study periods; and 2.) a snapshot of the number of patients on the waitlist at two time points for each of the three study periods. Results: Two years after implementing the STAT model in an epilepsy clinic, median waiting time from post-intervention to two-year follow-up was stable (52-51 days) and the interquartile range of days waited reduced from 37 to 77 days post-intervention to 45-57 days at two-year follow-up, with a reduction in the most lengthy wait times observed. After a dramatic reduction of the total number of patients on the waitlist immediately following the intervention, a small rise was seen at two years (n = 69) which remained well below the pre-intervention level (n = 582). Conclusion: The STAT model is a promising intervention for reducing waiting in an epilepsy clinic. While there was a small increase in the waitlist after two years, the median waiting time was sustained.

Caffeine consumed prior to cardiac stress testing may affect diagnostic accuracy of nuclear medicine myocardial imaging of myocardial ischemia: A systematic review and meta-analysis.

BACKGROUND: Myocardial perfusion imaging (MPI) is a well-established, non-invasive imaging procedure for the diagnosis and evaluation of patients with known or suspected coronary artery disease. With the increasing use of pharmacologic stress agents in myocardial perfusion imaging, strict preparation, including caffeine abstinence, is required. The aim of this review was to determine the effect of caffeine consumed prior to nuclear cardiac stress testing on the diagnostic accuracy. METHODS: Medline, Embase and CINAHL were searched from the earliest available time until August 2022. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2. Data pertaining to diagnostic accuracy were analysed using meta-analysis where appropriate and overall certainty of evidence evaluated using the Grades of Research, Assessment, Development and Evaluation approach. RESULTS: Six studies (307 participants) from a yield of 735 articles were identified. Meta-analysis of two studies found no difference in the left ventricular ejection fraction of patients pre and post caffeine consumption (MD -0.31 %, 95% CI -4.32% to 3.7%). Meta-analysis of three studies found there was uncertainty as to whether caffeine consumption affected reversibility (MD -2.16 segments 95% CI -4.61 to 0.28) and descriptive summary of three studies found mixed results for size of stress defects. CONCLUSION: The low quality evidence synthesized in this systematic review suggests caffeine may affect the diagnostic accuracy in myocardial perfusion imaging for ischemia detection in patients with chest pain and intermediate-to-high risk of coronary artery disease.

An evidence-based demand management strategy using a hub and spoke training model reduces waiting time for children's therapy services: An implementation trial.

BACKGROUND: Waiting lists for community-based paediatric therapy services are common and lead to poorer health outcomes, anxiety and missed opportunities for treatment during crucial developmental stages. The Specific Timely Appointments for Triage (STAT) model has been shown to reduce waiting lists in a range of health settings. AIMS: To determine whether providing training and support in the STAT model to champions within five community health centres using a remote 'hub and spoke' approach could reduce waiting time from referral to first appointment. METHODS: Representatives from five community health centres providing paediatric therapy services (speech therapy, occupational therapy and other allied health services) participated in five online workshops over 6 months. They were guided sequentially through the steps of the STAT model: understanding supply and demand, reducing backlogs, preserving space for new patients based on demand and redesigning models of care to maintain flow. Waiting time was measured in three consecutive years (pre, during and post intervention) and compared using the Kruskal-Wallis test. Employee satisfaction and perception of the model were explored using surveys. RESULTS: Data from 2564 children (mean age 3.2 years, 66% male) showed a 33% reduction in waiting time from the pre-intervention (median 57 days) to the post-intervention period (median 38 days, p < 0.01). The total number of children waiting was observed to reduce from 335 immediately prior to the intervention (mean per centre 67, SD 25.1) to 112 (mean 22, SD 13.6) after implementation (t[8] = 3.56, p < 0.01). There was no impact on employee satisfaction or other aspects of service delivery. CONCLUSION: Waiting lists are a major challenge across the health system. STAT provides a practical, low-cost, data-driven approach to tackling waiting times. This study demonstrates its effectiveness in paediatric therapy services and provides evidence for a 'hub and spoke' approach to facilitate implementation that could be provided at scale.

Self-management strategies for people with epilepsy: An overview of reviews.

OBJECTIVE: This overview of systematic reviews aimed to appraise evidence regarding self-management strategies on health-related quality of life, self-efficacy, medication compliance, seizure status and psychosocial outcomes compared to usual care for people with epilepsy. METHODS: Databases were searched until September 2022 using MeSH terms included OVID Medline, Embase and Cochrane. Following application of eligibility criteria, data were extracted and quality of articles was assessed using the AMSTAR2 checklist. A narrative synthesis of evidence included certainty of evidence evaluated using a Grading of Recommendations, Assessment, Development and Evaluation approach. RESULTS: The 12 selected reviews contained three meta-analyses and 91 unique primary studies. One review considered only epilepsy with intellectual disability and three considered paediatrics. Interventions included technologically-based interventions, small group discussion, or counselling and educational programs. There was high certainty evidence to suggest self-management is associated with improvement in health-related quality of life and moderate certainty evidence to suggest improvement in depression symptoms. There was low certainty evidence to suggest a modest reduction in negative health events and a minimal increase in the satisfaction with life. There was no evidence of benefit favouring self-management on measures of adherence epilepsy self-management, perception of self-efficacy, medication adherence or seizure status. SIGNIFICANCE: Despite high certainty evidence to suggest that self-management strategies for people with epilepsy improve health-related quality of life, benefits have not been demonstrated for outcomes that would be expected to be associated with these improvements, such as seizure status. These results provide support for self-management strategies to supplement usual care for people with epilepsy.

An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study.

BACKGROUND: Delayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time. METHODS: This study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. Data were collected over 28 months to observe the number of patients on the waitlist and the waiting time over three time periods: 12 months prior to implementation of STAT, ten months during implementation and six months post-intervention. STAT combines one-off backlog reduction with responsive scheduling that protects time for new appointments based on historical data. The primary outcomes were the number of patients on the waitlist and the waiting time across the three time periods. Secondary outcomes evaluated pre- and post-intervention changes in number of appointments offered weekly, non-arrival and discharge rates. RESULTS: A total of 938 patients were offered a first appointment over the study period. The long waitlist was almost eliminated, reducing from 616 during the pre-intervention period to 11 post-intervention (p = 0.002), but the hypothesis that waiting time would decrease was not supported. The interrupted time series analysis indicated a temporary increase in waiting time during the implementation period but no significant change in slope or level in the post- compared to the pre-intervention period. Direct comparison of the cohort of patients seen in the pre- and post-intervention periods suggested an increase in median waiting time following the intervention (34 [IQR 25-86] to 46 [IQR 36-61] days (p = 0.001)), but the interquartile range reduced indicating less variability in days waited and more timely access for the longest waiters. CONCLUSIONS: The STAT model was implemented in a specialist epilepsy outpatient clinic and reduced a large waitlist. Reductions in the waitlist were achieved with little or no increase in waiting time. The STAT model provides a framework for an alternative way to operate outpatient clinics that can help to ensure that all people referred are offered an appointment in a timely manner.

'I just need a plan': Consumer perceptions of waiting for healthcare.

RATIONALE: Wait lists are common in the provision of publicly funded services in outpatient and community settings. AIMS AND OBJECTIVES: We aimed to explore the experiences of consumers on wait lists across a broad range of services and to understand the impact of delays in access to services on people's lives. METHODS: Consumers with experience of being on a wait list for an outpatient or community-based health service participated in one of three focus groups. Data were transcribed and analysed inductively using a thematic approach. RESULTS: Waiting for healthcare has detrimental impacts on health and well-being. Consumers on wait lists want their health needs addressed, but they also want the ability to plan, clear communication and to feel like someone cares. Instead, they feel forgotten by impersonal and inflexible systems with very little communication, with emergency departments and general practitioners often left to fill in the gaps. CONCLUSIONS: More consumer-centred approaches are needed for access systems for outpatient and community services, featuring honesty about what services can realistically be provided, early access to initial assessment and information and clear lines of communication.

Service redesign interventions to reduce waiting time for paediatric rehabilitation and therapy services: A systematic review of the literature.

Despite well-documented benefits of rehabilitation and therapy services for children with disabilities, long waiting lists to access these services are common. There is a growing body of evidence, primarily from mixed or adult services, demonstrating that waiting times can be reduced through strategies that target wasteful processes and support services to keep up with demand. However, providers of rehabilitation and therapy services for children face additional complexities related to the long-term nature of many developmental conditions and the need to consider timing of interventions with developmental milestones and education transition points. This review aimed to synthesise available evidence on service redesign strategies in reducing waiting time for paediatric therapy services. We conducted a systematic review of studies conducted in outpatient paediatric rehabilitation or therapy settings, including physical and mental health services, evaluating a service redesign intervention and presenting comparative data on time to access care. Two reviewers independently applied inclusion criteria, assessed risk of bias and extracted data. Findings were analysed descriptively and the certainty of evidence was synthesised according to criteria for health service research. From 1934 studies identified, 33 met the criteria for inclusion. Interventions were categorised as rapid response strategies, process efficiency interventions or substitution strategies (using alternative providers in place of medical specialists). Reductions in waiting time were reported in 30 studies. Evidence is limited by study designs with high risk of bias, but this is mitigated by consistency of findings and large effect sizes. There is moderate-certainty evidence that service redesign strategies similar to those used in adult populations can be applied in paediatric rehabilitation and therapy settings to reduce waiting time.

Consumer perspectives of telehealth in ambulatory care in an Australian health network.

We aimed to explore consumer experiences of ambulatory telehealth services and whether consumer experiences differed according to whether they received their consultation using telephone or video technology. We conducted structured telephone interviews with patient consumers who had received a recent remote consultation by telephone or video call, at local ambulatory allied health or multidisciplinary services within a large public metropolitan public health network. Respondents were asked about their recent experience and future choices in relation to telehealth. Responses from consumers who received telephone and video consultations were compared. Consumers from community rehabilitation, community health, allied health outpatients, multidisciplinary specialist clinics and mental health services participated (n = 379), of whom 245 received a telephone consultation (65%) and 134 a video consultation (35%). Almost half of respondents (49%) expressed preference for future face-to-face care and 29% reported they would choose to use telehealth over face-to-face consultation for a similar appointment again. Many commented that they would be influenced by the type of consultation required and expressed a desire to have a choice. Approximately 80% of both groups reported they had achieved the desired outcome from their telehealth consultation. Consumers using video were more likely to experience technical issues. Telehealth met the needs of most consumers, and responses were similar for telephone and video consultations.

Return on investment of a model of access combining triage with initial management: an economic analysis.

OBJECTIVES: Timely access to outpatient services is a major issue for public health systems. To address this issue, we aimed to establish the return on investment to the health system of the implementation of an alternative model for access and triage (Specific Timely Appointments for Triage: STAT) compared with a traditional waitlist model. DESIGN: Using a prospective pre-post design, an economic analysis was completed comparing the health system costs for participants who were referred for community outpatient services post-implementation of STAT with a traditional waitlist comparison group. SETTING: Eight community outpatient services of a health network in Melbourne, Australia. PARTICIPANTS: Adults and children referred to community outpatient services. INTERVENTIONS: STAT combined targeted activities to reduce the existing waiting list and direct booking of patients into protected assessment appointments. STAT was compared with usual care, in which new patients were placed on a waiting list and offered appointments as space became available. OUTCOMES: Health system costs included STAT implementation costs, outpatient health service use, emergency department presentations and hospital admissions 3 months before and after initial outpatient appointment. Waiting time was the primary outcome. Incremental cost-effectiveness ratios (ICERs) were estimated from the health system perspective. RESULTS: Data from 557 participants showed a 16.9 days or 29% (p<0.001) reduction in waiting time for first appointment with STAT compared with traditional waitlist. The ICER showed a cost of $A10 (95% CI -19 to 39) per day reduction in waiting time with STAT compared with traditional waitlist. Modelling showed the cost reduced to $A4 (95% CI -25 to 32) per day of reduction in waiting, if reduction in waiting times is sustained for 12 months. CONCLUSIONS: There was a significant reduction in waiting time with the introduction of STAT at minimal cost to the health system. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN12615001016527).

What is the effect of delays in access to specialist epilepsy care on patient outcomes? A systematic review and meta-analysis.

OBJECTIVE: To determine the association between delays in access to specialist epilepsy care and patient outcomes. METHODS: Three databases were searched using eligibility criteria related to the concepts of timely access, epilepsy, and clinical outcome. Comparative data on patient outcomes by time to treatment was required for inclusion. Studies were selected independently by two researchers who reviewed title/abstract, then full text articles. Data were extracted and risk of bias was evaluated. Results were synthesized in random effects model meta-analyses, and strength of the body of evidence was evaluated. Descriptive analysis was conducted for studies not included in meta-analyses. RESULTS: Thirty-five studies, reported in 40 papers, were included. The studies investigated impact of delays in diagnosis, commencement of medication, or surgery for children and adults. Early diagnosis and access to specialist neurology care was associated with improvements in seizure status, development, and/or intelligence quotients. Meta-analyses provided low to high certainty evidence of increased odds of improved seizure outcome with early commencement of medication depending on follow-up period and individual risk factors. There was moderate certainty evidence that people with favorable seizure outcomes wait less time (MD 2.8 years, 95% CI 1.7-3.9) for surgery compared to those with unfavorable outcomes. SIGNIFICANCE: This review provides evidence that earlier access to specialist epilepsy care for diagnosis, commencement of medication, and surgery is associated with better patient outcomes.

A Multi-Faceted Strategy for Evidence Translation Reduces Healthcare Waiting Time: A Mixed Methods Study Using the RE-AIM Framework.

Background: Waiting lists are often thought to be inevitable in healthcare, but strategies that address patient flow by reducing complexity, combining triage with initial management, and/or actively managing the relationship between supply and demand can work. One such model, Specific Timely Appointments for Triage (STAT), brings these elements together and has been found in multiple trials to reduce waiting times by 30-40%. The next challenge is to translate this knowledge into practice. Method: A multi-faceted knowledge translation strategy, including workshops, resources, dissemination of research findings and a community of practice (CoP) was implemented. A mixed methods evaluation of the strategy was conducted based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, drawing on an internal database and a survey of workshop and CoP participants. Results: Demonstrating reach, at July 2020 an internal database held details of 342 clinicians and managers from 64 health services who had participated in the workshop program (n = 308) and/or elected to join an online CoP (n = 227). 40 of 69 (58%) respondents to a survey of this population reported they had adopted the model, with some providing data demonstrating that the STAT model had been efficacious in reducing waiting time. Perceived barriers to implementation included an overwhelming existing waiting list, an imbalance between supply and demand and lack of resources. Conclusion: There is high quality evidence from trials that STAT reduces waiting time. Using the RE-AIM framework, this evaluation of a translation strategy demonstrates uptake of evidence to reduce waiting time in health services.

The feasibility of delivering first suspected seizure care using telehealth: A mixed methods controlled study.

PURPOSE: Prompt access to specialist assessment is critical after a first suspected seizure. We aimed to test the feasibility of providing this service via telehealth, compared with usual care (face-to-face appointment) in patients referred to a first seizure clinic. METHOD: This feasibility study was a prospective mixed-methods non-randomised controlled design in a single centre. Patients referred to the first seizure clinic chose to receive their consultation by telehealth (intervention group) or face-to-face (usual care). Demand, practicality, acceptability and limited-efficacy testing were assessed using recruitment and routinely collected clinic data, participant surveys and a clinician focus group. RESULTS: Telehealth in the first seizure clinic was feasible; however, internet connection, computer hardware and software, patient confidence and organisational support impacted on practicality. Of patients who were eligible for telehealth, 25 % chose to use telehealth for their appointment, with more women taking up the opportunity. Geography and age were not factors in likelihood of uptake. There was no significant between-group difference found in acceptability and limited efficacy measures conducted. CONCLUSION: Telehealth is a responsive and convenient way to reach some patients who face barriers in access to specialist neurology assessment following a first suspected seizure.

Reducing the waitlist of referred patients in a medical specialist outpatient clinic: an observational study.

PURPOSE: Long waitlists in outpatient clinics are a widely recognised problem. The purpose of this paper is to describe and report the impact of a waitlist reduction strategy for an epilepsy clinic. DESIGN/METHODOLOGY/APPROACH: This observational study described the local impact of a methodical approach to tackling a long waiting list, using targeted strategies supported by a modest additional budget. The interventions were described using the template for intervention description and replication (TIDieR). FINDINGS: Over an eight-month period, the waitlist for the epilepsy clinic was reduced from 599 to 24 patients without increasing the number of days until the next available appointment. Most referrals were removed from the waitlist without an appointment. Auditing revealed a high proportion of patients no longer required the service or referrals remained on the waitlist due to administration error. A short-term increase in clinic capacity of 51 extra appointments met the needs of the remaining waiting patients. The additional project funding invested in this process was AUD $10,500 and a time-limited amount of extra work was absorbed by using existing clinic resources. PRACTICAL IMPLICATIONS: This waitlist reduction strategy resulted in a very small waitlist for the epilepsy clinic, which is now well placed to trial further interventions with the aim of sustaining the service with minimal waiting times. Not every referral on the waitlist, particularly the very long waiters, required an appointment. Other outpatient clinics may be able to apply this process to reduce their waitlists using a modest budget. ORIGINALITY/VALUE: Although there are reports of successful waitlist reduction, few report the intervention in detail. Use of the TIDieR in reporting enables the intervention to be appraised or adapted to other settings where long waitlists are problematic. Considerations related to implementation of policy are discussed and in this case, a locally led and executed change management strategy was a key to achieving the result.

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.

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 ).

Specific timely appointments for triage to reduce wait times in a medical outpatient clinic: protocol of a pre-post study with process evaluation.

BACKGROUND: Managing demand for services is a problem in many areas of healthcare, including specialist medical outpatient clinics. Some of these clinics have long waiting lists with variation in access for referred people. A model of triage and appointment allocation has been developed and tested that has reduced waiting times by about a third in community outpatient services. This study aims to determine whether the model can be applied in the setting of a specialist medical outpatient clinic to reduce wait time from referral to first appointment. METHODS: A pre-post study will collect data before and after implementing the Specific Timely Appointments for Triage (STAT) model of access and triage. The study will incorporate a pre-implementation period of 12 months, an implementation period of up to 6 months and a post STAT-implementation period of 6 months. The setting will be the epilepsy clinic at a metropolitan health service in Melbourne. Included will be all people referred to the clinic, or currently waiting, during the allocated periods of data collection (total sample estimated n = 975). Data routinely collected by the health service and qualitative data from staff will be analysed to determine the effects of introducing the STAT model. The primary outcome will be wait time, measured by number of patients on the wait list at monthly time points and the mean number of days waited from referral to first appointment. Secondary outcomes will include patient outcomes, such as admission to hospital while waiting, and service outcomes, including rate of discharge. Analysis of the primary outcome will include interrupted time series analysis and simple comparisons of the pre and post-implementation periods. Process evaluation will include investigation of the fidelity of the intervention, adaptations required and qualitative analysis of the experiences of clinic staff. DISCUSSION: Prompt access to service and optimum patient flow is important for patients and service providers. Testing the STAT model in a specialist medical outpatient clinic will add to the evidence informing service providers and policy makers about how the active management of supply and demand in health care can influence wait times. The results from this study may be applicable to other specialist medical outpatient clinics, potentially improving access to care for many people.

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

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.

Reducing wait time from referral to first visit for community outpatient services may contribute to better health outcomes: a systematic review.

BACKGROUND: Many people wait long periods for community outpatient services. However little is known about the impact of waiting from referral to first visit on patient outcomes. The aim of this systematic review is to investigate whether waiting for community outpatient services is associated with adverse effects on patient outcomes. METHODS: Medline, Embase, Psych Info and CINAHL databases were searched, combining the key concepts of waiting for healthcare and patient outcomes. Studies were included if they reported data comparing health outcomes for patients with different waiting times for the same period. Three reviewers applied inclusion and exclusion criteria to identified studies and assessed quality using the McMaster Critical Review Forms. Levels of evidence were assessed using National Health and Medical Research Council guidelines. Included studies were analysed using a descriptive synthesis, and summarised according to levels of evidence and clinical significance for key outcomes. RESULTS: Fourteen studies that included 69,606 adult patients were selected. Selected studies included patients referred for treatment for musculoskeletal disorders (n = 28,722) or to cardiac rehabilitation (n = 40,884). There was low-level evidence that reduced wait time is associated with moderate improvement in workplace participation for patients seeking care for musculoskeletal conditions; and moderate improvement in exercise tolerance for patients referred to cardiac rehabilitation. There was inconsistent evidence that improvements in quality of life, patient satisfaction and psychological symptoms may be associated with shorter wait times. Pain, function and physical activity outcomes were not associated with wait time. CONCLUSIONS: This review found low-level evidence suggesting an association between early access to community outpatient services and improvement of some patient outcomes. Specifically, shorter wait times from referral to first visit for musculoskeletal pain services may improve patient work participation. Shorter wait times for cardiac rehabilitation may improve patient exercise capacity. The effects of a short wait time for other patient conditions and patient outcomes, including quality of life, psychological symptoms and patient experience, are inconclusive. The modest benefits in health outcomes observed in reducing wait time for community outpatient services suggest that other possible benefits such as increasing patient flow should be explored. TRIAL REGISTRATION: PROSPERO registration no: CRD42016047003.

A model of access combining triage with initial management reduced waiting time for community outpatient services: a stepped wedge cluster randomised controlled trial.

BACKGROUND: Long waiting times are associated with public community outpatient health services. This trial aimed to determine if a new model of care based on evidence-based strategies that improved patient flow in two small pilot trials could be used to reduce waiting time across a variety of services. The key principle of the Specific Timely Appointments for Triage (STAT) model is that patients are booked directly into protected assessment appointments and triage is combined with initial management as an alternative to a waiting list and triage system. METHODS: A stepped wedge cluster randomised controlled trial was conducted between October 2015 and March 2017, involving 3116 patients at eight sites across a major Australian metropolitan health network. RESULTS: The intervention reduced waiting time to first appointment by 33.8% (IRR = 0.663, 95% CI 0.516 to 0.852, P = 0.001). Median waiting time decreased from a median of 42 days (IQR 19 to 86) in the control period to a median of 24 days (IQR 13 to 48) in the intervention period. A substantial reduction in variability was also noted. The model did not impact on most secondary outcomes, including time to second appointment, likelihood of discharge by 12 weeks and number of appointments provided, but was associated with a small increase in the rate of missed appointments. CONCLUSIONS: Broad-scale implementation of a model of access and triage that combined triage with initial management and actively managed the relationship between supply and demand achieved substantial reductions in waiting time without adversely impacting on other aspects of care. The reductions in waiting time are likely to have been driven, primarily, by substantial reductions for those patients previously considered low priority. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12615001016527 registration date: 29/09/2015.