Psych in Digital Age Topic 1

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15 Terms

1
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digital mental health

the use of interventions designed and based on psychological practice, theory, and research and delivered through digital media

2
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digital competence

the confident and critical usage of a range of digital technologies for information, communication, and problem solving

3
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main advantages for DMH services

increased accessibility, affordability, flexibility and convenience, and personalisation; reduced stigma; and better ability to address the workforce shortage

4
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percentage of Australians who experience ill mental health in a year

20%

5
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percentage of Australians who experience ill mental health, who fail to recieve treatment

51%

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percentage of Australians who experience ill mental health in their lifetime

45%

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annual cost relating to ill mental health in Australia

$43-70 billion

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some groups more likely to have unmet mental health needs

remote areas, low SES, low mental health literacy

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consumer attitudes to DMH

open, appreciative of the reduced barriers, but context-dependent perception it may not be as helpful as f2f interventions

10
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professional attitudes to DMH

wanting more training and infrastructure, percieved ambiguity in practice and policies, concern for risk, privacy, and security

11
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predictors of client uptake for DMH

previous contact with DMH and willingness to use DMH services - this is stable cross-culturally

12
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predictors of preference for DMH services

prior use; higher technological literacy; lower agreeableness, and extraversion, and higher openness to experience and neuroticism; lower internalised stigma towards DMH

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challenges in the research of DMH

lack of strong theoretical grounding and framing of research

14
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technology acceptance model

proposes that external or client centred variables influence percieved usefulness and ease of use for technology, which in turn shapes attitudes towards actual use and behavioural intention to use technology

15
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theory of planned behaviour for technology

proposes that actual use is predicted by intentions to use technology, which are based on related attitudes, percieved behavioural control, and subjective norms