Effects of mental health training on capacity, willingness and engagement in peer-to-peer support in rural New South Wales.

ISSUE ADDRESSED: Rural Australians experience significant barriers in accessing mental health services, some of which may be overcome by increasing mental health literacy in rural communities. This paper evaluates Mental Health Support Skills (MHSS), short training courses developed by the Rural Adversity Mental Health Program (RAMHP). MHSS was designed to build the capacity of community members and gatekeepers to identify people with mental health concerns and link them to appropriate resources or services. METHODS: Program data from April 2017 to March 2020 were analysed to assess the reach and outcomes of MHSS training. Training feedback was collected through a post-training survey, completed directly after courses, and a follow-up survey two months after training. An app used by RAMHP coordinators (the trainers) recorded the geographic and demographic reach of courses. RESULTS: MHSS was provided to 10,208 residents across rural New South Wales. Survey participation was 49% (n = 4,985) for the post-training survey and 6% (n = 571), for the follow-up survey, two months post-training. The training was well-received and increased the mental health understanding and willingness to assist others of most respondents (91%-95%). Follow-up survey respondents applied learnings to assist others; 53% (n = 301) asked a total of 2,252 people about their mental health in the two months following training. Those in clinical roles asked a median of 6 people about their mental health, compared to 3 for those in nonclinical roles. Most follow-up survey respondents (59%, n = 339) reported doing more to look after their own mental health in the two months after training. CONCLUSION: These results are encouraging as they suggest that short-form mental health training can be an effective tool to address poorer mental health outcomes for rural residents by improving the ability of participants to help themselves and the people around them. SO WHAT?: Serious consideration should be given to short mental health courses, such as MHSS, to increase literacy and connection to services, especially in rural areas.

Developing a mobile data collection tool to manage a dispersed mental health workforce.

CONTEXT: The Rural Adversity Mental Health Program (RAMHP) connects people who need mental health assistance in rural and remote New South Wales (NSW), Australia with appropriate services and resources. In 2016, RAMHP underwent a comprehensive reorientation to meet new state and federal priorities. A full assessment of program data collection methods for management, monitoring and evaluation was undertaken. Reliable data were needed to ensure program fidelity and to assess program performance. ISSUES: The review indicated that existing data collection methods provided limited and unreliable information, were inconvenient for RAMHP coordinators to use and unsuited to their itinerant role. A mobile collection tool (app) was developed to address RAMHP activity data needs. A design and implementation process was followed to optimise data collection and to ensure the successful use of the app by coordinators. LESSONS LEARNED: The early planning investment was worthwhile, the app was successfully adopted by the coordinators and a much improved data collection capability was achieved. Moreover, data capture increased, while errors decreased. Data are more reliable, specific, timely and informative and are used for strategic and operational planning and to demonstrate program performance.

Reorientation of the Rural Adversity Mental Health Program: the value of a program logic model.

CONTEXT: The Rural Adversity Mental Health Program (RAMHP) was founded in 2007 with the specific focus of responding to drought-related mental health needs among farmers in rural and remote New South Wales (NSW), Australia. Successive re-funding enabled the program to evolve strategically and increase its reach. Over a decade, the program's focus has expanded to include all people in rural and remote NSW in need of mental health assistance, and not just in times of adversity such as drought. ISSUE: The program's longest re-funding period, 2016-2020, provided the opportunity for a comprehensive review and longer term planning. Several priorities influencing program renewal were evident at this time: the need to improve data collection and evaluation methods, a reassessment of the program's primary focus and the need to align with significant government mental health reforms. A program logic model (PLM) was developed, in collaboration with frontline RAMHP coordinators, to steer reorientation, clarify objectives, activities and outcomes, and improve data collection. A PLM is a graphic depiction of a program, showing the rationale of how inputs and activities lead to outcomes. LESSONS LEARNED: Four key lessons were identified. (1) The development of the PLM in collaboration with the RAMHP coordinators (frontline staff) was found to be an important vehicle for ensuring their acceptance and adoption of strategic changes. (2) The collaborative development process also provided the opportunity to decide upon consistent terminology to describe the program, facilitating communication of the value of RAMHP to external stakeholders. (3) The PLM enabled a clear but flexible program structure that aligned with changes in the mental health system to be described. (4) The PLM provided the foundation for the development of an evaluation framework, including a mobile app, to aid data collection to underpin accountability. Investing in the development of a PLM early in program reorientation provided many benefits for RAMHP, including improved role clarity and communication, staff commitment to program changes and a foundation for comprehensive program evaluation that integrates with program planning. The PLM proved a key foundational tool to reorient RAMHP by producing a clear program structure that was agreed upon by all staff.

GoPros™ as an underwater photogrammetry tool for citizen science.

Citizen science can increase the scope of research in the marine environment; however, it suffers from necessitating specialized training and simplified methodologies that reduce research output. This paper presents a simplified, novel survey methodology for citizen scientists, which combines GoPro imagery and structure from motion to construct an ortho-corrected 3D model of habitats for analysis. Results using a coral reef habitat were compared to surveys conducted with traditional snorkelling methods for benthic cover, holothurian counts, and coral health. Results were comparable between the two methods, and structure from motion allows the results to be analysed off-site for any chosen visual analysis. The GoPro method outlined in this study is thus an effective tool for citizen science in the marine environment, especially for comparing changes in coral cover or volume over time.