4 resultados para referral service

em University of Queensland eSpace - Australia


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Three different, well established systems for e-referral were examined. They ranged from a system in a single country handling a large number of cases (60,000 per year) to a global system covering many countries which handled fewer cases (150 per year). Nonetheless, there appeared to be a number of common features. Whether the purpose is e-transfer or e-consultation, the underlying model of the e-referral process is: the referrer initiates an e-request; the organization managing the process receives it, the organization allocates it for reply; the responder replies to the initiator. Various things can go wrong and the organization managing the e-referral process needs to be able to track requests through the system; this requires various performance metrics. E-referral can be conducted using email, or as messages passed either directly between computer systems or via a Web-link to a server. The experience of the three systems studied shows that significant changes in work practice are needed to launch an e-referral service successfully. The use of e-referral between primary and secondary care improves access to services and can be shown to be cost-effective.

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A second-opinion child psychiatry service was piloted for six months in the northern-most two-thirds of Queensland. It provided specialist expertise by telehealth to local multidisciplinary teams of mental health staff. During the study period, 28 videoconferences were performed by the service: nine for administrative purposes, two for educational purposes, and 17 for direct and indirect clinical applications. The mean time between a referral being made and a consultation being performed was 4.7 days (range 1-13), A survey administered to referring and non-referring mental health workers showed that the major barriers to service implementation included the limited allied health applications that were offered, a perceived lack of communication during the implementation phase of the service, and the creation of a new referral network that did not conform to traditional referral patterns in the north of Queensland.

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The HMR model contains a mechanism whereby anyone who is concerned about the risk of medication misadventure can request a HMR from the patient's GP. Since nurses are widely involved in a range of triage and gatekeeping roles, utilising their primary care skills to identify patients for a HMR is a logical extension of this role. Furthermore, community nurses visit their clients in the home situation and see many difficulties the client may be experiencing at first hand. They are therefore well placed to request specialist assistance for the client. Blue Care in Brisbane, a community nursing service, approached its local Division of General practice to determine how best to request HMRs for its clients. The Division contacted The University of Queensland which initiated this study to engage the health care team to tailor the established HMR request process to the needs of community nurses and test the system developed. (non-author abstract)

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The Access to Allied Psychological Services component of Australia's Better Outcomes in Mental Health Care program enables eligible general practitioners to refer consumers to allied health professionals for affordable, evidence-based mental health care, via 108 projects conducted by Divisions of General Practice. The current study profiled the models of service delivery across these projects, and examined whether particular models were associated with differential levels of access to services. We found: 76% of projects were retaining their allied health professionals under contract, 28% via direct employment, and 7% some other way; Allied health professionals were providing services from GPs' rooms in 63% of projects, from their own rooms in 63%, from a third location in 42%; and The referral mechanism of choice was direct referral in 51% of projects, a voucher system in 27%, a brokerage system in 24%, and a register system in 25%. Many of these models were being used in combination. No model was predictive of differential levels of access, suggesting that the approach of adapting models to the local context is proving successful.