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Background Since 2007, the Australian Know your numbers (KYN) program has been used in community settings to raise awareness about blood pressure and stroke. In 2011, the program was modified to include assessment for type 2 diabetes risk. However, it is unclear which approach for assessing diabetes risk in pharmacies is best. We compared two methods: random(non-fasting) blood glucose testing (RBGT); and the Australian type 2 diabetes risk assessment tool (AUSDRISK); according to 1) identification of 'high risk' participants including head-to-head sensitivity and specificity; 2) number of referrals to doctors; 3) feasibility of implementation. Methods 117 Queensland pharmacies voluntarily participated and were randomly allocated to RBGT and AUSDRISK or AUSDRISK only. Although discouraged, pharmacies were able to change allocated group prior to commencement. AUSDRISK is a validated self-administered questionnaire used to calculate a score that determines the 5-year risk of developing type 2 diabetes. AUSDRISK (score 12+) or RBGT (=5.6 mmol/I) indicates a high potential risk of diabetes. Median linear regression was used to compare the two measures. Staff from 68 pharmacies also participated in a semi-structured interview during a site visit to provide feedback. Results Data were submitted for 5,483 KYN participants (60% female, 66% aged >55 years, 10% history of diabetes). Approximately half of the participants without existing diabetes were identified as 'high risk' based on either RBGT or AUSDRISK score. Among participants who undertook both measures, 32% recorded a high RBGT and high AUSDRISK. There was a significant association between RBGT and AUSDRISK scores. For every one point increase in AUSDRISK score there was a half point increase in RBGT levels (coefficient 0.55, 95% CI: 0.28, 0.83). Pharmacy staff reported that AUSDRISK was a simple, low cost and efficient method of assessing diabetes risk compared with RBGT, e.g. where management of sharps is not an issue. Conclusions In a large, community-based sample of Australians about half of the participants without diabetes were at 'high risk 'of developing diabetes based on either AUSDRISK or RBGT results. AUSDRISK was considered to be an acceptable method for assessing the risk of diabetes using opportunistic health checks in community pharmacies. [ABSTRACT FROM AUTHOR]

Background: In the 21st century, government and industry are supplementing hierarchical, bureaucratic forms of organization with network forms, compatible with principles of devolved governance and decentralization of services. Clinical networks are employed as a key health policy approach to engage clinicians in improving patient care in Australia. With significant investment in such networks in Australia and internationally, it is important to assess their effectiveness and sustainability as implementation mechanisms. Methods: In two purposively selected, musculoskeletal clinical networks, members and stakeholders were interviewed to ascertain their perceptions regarding key factors relating to network effectiveness and sustainability. We adopted a three-level approach to evaluating network effectiveness: at the community, network, and member levels, across the network lifecycle. Results: Both networks studied are advisory networks displaying characteristics of the 'enclave' type of non-hierarchical network. They are hybrids of the mandated and natural network forms. In the short term, at member level, both networks were striving to create connectivity and collaboration of members. Over the short to medium term, at network level, both networks applied multi-disciplinary engagement in successfully developing models of care as key outputs, and disseminating information to stakeholders. In the long term, at both community and network levels, stakeholders would measure effectiveness by the broader statewide influence of the network in changing and improving practice. At community level, in the long term, stakeholders acknowledged both networks had raised the profile, and provided a 'voice' for musculoskeletal conditions, evidencing some progress with implementation of the network mission while pursuing additional implementation strategies. Conclusions: This research sheds light on stakeholders' perceptions of assessing clinical network effectiveness at community, network, and member levels during the network's timeline, and on the role of networks and their contribution. Overall, stakeholders reported positive momentum and useful progress in network growth and development, and saw their networks as providing valuable mechanisms for meeting instrumental goals and pursuing collaborative interests. Network forms can prove their utility in addressing 'wicked problems,' and these Australian clinical networks present a practical approach to the difficult issue of clinician engagement in state-level implementation of best practice for improving patient care and outcomes. [ABSTRACT FROM AUTHOR]