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Background: Waiting lists for treatment are common in outpatient and community services, Existing methods for managing access and triage to these services can lead to inequities in service delivery, inefficiencies and divert resources from frontline care. Evidence from two controlled studies indicates that an alternative to the traditional "waitlist and triage" model known as STAT (Specific Timely Appointments for Triage) may be successful in reducing waiting times without adversely affecting other aspects of patient care. This trial aims to test whether the model is cost effective in reducing waiting time across multiple services, and to measure the impact on service provision, health-related quality of life and patient satisfaction.Methods/design: A stepped wedge cluster randomised controlled trial has been designed to evaluate the impact of the STAT model in 8 community health and outpatient services. The primary outcome will be waiting time from referral to first appointment. Secondary outcomes will be nature and quantity of service received (collected from all patients attending the service during the study period and health-related quality of life (AQOL-8D), patient satisfaction, health care utilisation and cost data (collected from a subgroup of patients at initial assessment and after 12 weeks). Data will be analysed with a multiple multi-level random-effects regression model that allows for cluster effects. An economic evaluation will be undertaken alongside the clinical trial.Discussion: This paper outlines the study protocol for a fully powered prospective stepped wedge cluster randomised controlled trial (SWCRCT) to establish whether the STAT model of access and triage can reduce waiting times applied across multiple settings, without increasing health service costs or adversely impacting on other aspects of patient care. If successful, it will provide evidence for the effectiveness of a practical model of access that can substantially reduce waiting time for outpatient and community services with subsequent benefits for both efficiency of health systems and patient care.Trial Registration: Australian and New Zealand Clinical Trials Registry ACTRN12615001016527 . Approved 15/9/2015. [ABSTRACT FROM AUTHOR]

Background: The interface between primary care and specialist medical services is an important domain for health services research and policy. Of particular concern is optimising specialist services and the organisation of the specialist workforce to meet the needs and demands for specialist care, particularly those generated by referral from primary care. However, differences in the disease classification and reporting of the work of primary and specialist surgical sectors hamper such research. This paper describes the development of a bridging classification for use in the study of potential surgical problems in primary care settings, and for classifying referrals to surgical specialties. Methods: A three stage process was undertaken, which involved: (1) defining the categories of surgical disorders from a specialist perspective that were relevant to the specialist-primary care interface; (2) classifying the 'terms' in the International Classification of Primary Care Version 2-Plus (ICPC-2 Plus) to the surgical categories; and (3) using referral data from 303,000 patient encounters in the BEACH study of general practice activity in Australia to define a core set of surgical conditions. Inclusion of terms was based on the probability of specialist referral of patients with such problems, and specialists' perception that they constitute part of normal surgical practice. Results: A four-level hierarchy was developed, containing 8, 27 and 79 categories in the first, second and third levels, respectively. These categories classified 2050 ICPC-2 Plus terms that constituted the fourth level, and which covered the spectrum of problems that were managed in primary care and referred to surgical specialists. Conclusion: Our method of classifying terms from a primary care classification system to categories delineated by specialists should be applicable to research addressing the interface between primary and specialist care. By describing the process and putting the bridging classification system in the public domain, we invite comment and application in other settings where similar problems might be faced. [ABSTRACT FROM AUTHOR]

Background: Limited information is available regarding the profile and clinical practice characteristics of the osteopathy workforce in Australia. This paper reports such information by analysing data from a nationally-representative sample of Australian osteopaths.Methods: Data was obtained from a workforce survey of Australian osteopathy, investigating the characteristics of the practitioner, their practice, clinical management features and perceptions regarding research. The survey questionnaire was distributed to all registered osteopaths across Australia in 2016 as part of the Osteopathy Research and Innovation Network (ORION) project.Results: A total of 992 Australian osteopaths participated in this study representing a response rate of 49.1%. The average age of the participants was 38.0 years with 58.1% being female and the majority holding a Bachelor or higher degree qualification related to the osteopathy professional. Approximately 80.0% of the osteopaths were practicing in an urban area, with most osteopaths working in multi-practitioner locations, having referral relationships with a range of health care practitioners, managing patients a number of musculoskeletal disorders, and providing multi-model treatment options.Conclusions: A total of 3.9 million patients were estimated to consult with osteopaths every year and an average of approximate 3.0 million hours were spent delivering osteopathy services per year. Further research is required to provide rich, in-depth examination regarding a range of osteopathy workforce issues which will help ensure safe, effective patient care to all receiving and providing treatments as part of the broader Australian health system. [ABSTRACT FROM AUTHOR]