Belief in dealing with depression alone: Results from community surveys of adolescents and adults

Background: Community surveys have found that some people believe that it is better to deal with depression alone rather than seek help. However, there has been little research into the characteristics of this group. Methods: Data were drawn from three Australian surveys: (1) a national survey of 1001 adults aged 18+ years; (2) a school survey of 552 students aged 14-16 years from two regions; (3) a survey of 577 young people aged 12-17 years from the Melbourne region. In all three surveys, participants who believed it would be helpful to deal with depression alone were contrasted with those who believed it would be harmful in terms of sociodemographic characteristics, recognition of depression in a vignette, contact with people who experienced depression, beliefs about treatments, beliefs about using substances, beliefs about long-term outcomes, and beliefs about causes. Results: In both adolescents and adults, belief in dealing with depression alone was associated with male gender, less favourable views about mental health professionals, more favourable views about using substances to deal with depression, and a more positive expectation about the outcome if treatment is not sought. Adolescents believing in dealing with depression alone had more favourable views about some potential helpers, such as church workers and pharmacists. In adults, but not adolescents, there was an association with the belief that depression is caused by personal weakness. Limitations: The surveys did not directly ask about reasons for believing that dealing with depression alone would be helpful and did not assess actual help-seeking. Conclusions: Factors encouraging dealing with depression alone are a belief that it is a self-limiting disorder, that substances are an effective way to deal with it and, in adults, that depression is due to personal weakness. Consistent with previous research, males are an important target group for encouraging seeking help to deal with depression. (c) 2006 Elsevier B.V. All rights reserved.

Identification of success and failure factors for technology transfer in biotechnology: case studies and surveys from Academic Sinica in Taiwan

Academia Sinica is the leading research institute in Taiwan founded in 1928. Its Office of Technology Transfer (OTT) was established in 1998. It made great efforts to dramatically turn around the technology transfer activity of Academia Sinica, especially in biotechnology. Academia Sinica has more than 80 cases of experience in biotechnology transfer with companies in Taiwanese industry in the past five years. The purpose of this study is to identify potential success and failure factors for biotechnology transfer in Taiwan. Eight cases were studied through in-depth interview. The results of the analysis were used to design two surveys to further investigate 81 cases (48 successful and 33 failure cases) of biotechnology transfer in Academia Sinica from 1999–2003. The results indicated that 10 of the 14 success factors were cited in more than 40% of the cases as contributing to the success of technology transfer. By contrast, only 5 out of 16 key factors were present in more than 30% of the failure cases.

Optimizing Presence–Absence Surveys For Detecting Population Trends

Presence-absence surveys are a commonly used method for monitoring broad-scale changes in wildlife distributions. However, the lack of power of these surveys for detecting population trends is problematic for their application in wildlife management. Options for improving power include increasing the sampling effort or arbitrarily relaxing the type I error rate. We present an alternative, whereby targeted sampling of particular habitats in the landscape using information from a habitat model increases power. The advantage of this approach is that it does not require a trade-off with either cost or the Pr(type I error) to achieve greater power. We use a demographic model of koala (Phascolarctos cinereus) population dynamics and simulations of the monitoring process to estimate the power to detect a trend in occupancy for a range of strategies, thereby demonstrating that targeting particular habitat qualities can improve power substantially. If the objective is to detect a decline in occupancy, the optimal strategy is to sample high-quality habitats. Alternatively, if the objective is to detect an increase in occupancy, the optimal strategy is to sample intermediate-quality habitats. The strategies with the highest power remained the same under a range of parameter assumptions, although observation error had a strong influence on the optimal strategy. Our approach specifically applies to monitoring for detecting long-term trends in occupancy or abundance. This is a common and important monitoring objective for wildlife managers, and we provide guidelines for more effectively achieving it.