Wa! Ningeningma arakba da! (Oh! Now I know, that's it!): providing feedback to communities about studies of cannabis use, Arnhem Land, Northern Territory
Lee, K.S. Kylie, Jaragba, Muriel J., Clough, Alan R., and Conigrave, Katherine M. (2008) Wa! Ningeningma arakba da! (Oh! Now I know, that's it!): providing feedback to communities about studies of cannabis use, Arnhem Land, Northern Territory. Medical Journal of Australia, 188 (2). pp. 113-116.
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Our aim was to disseminate research results about the very high rates of cannabis use in three remote Aboriginal communities in Arnhem Land, Northern Territory, to the study populations. To achieve this we translated prevalence estimates, using local concepts of life stages, numbers and quantities. The reaction of the local community to results presented in this way was characterised by the phrase used when understanding something for the first time: Wa! Ningeningma arakba akina da! ("Oh! Now I know, that's it!"). To successfully disseminate research findings in these communities, it is critical to undertake comprehensive community liaison, to find common conceptual understandings and to build the skills of local Indigenous researchers.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||mental health disorders; substance abuse; public health in Indigenous populations; remote indigenous communities; possible prevention or risk reduction|
Reproduced with permission from Medical Journal of Australia.
|Date Deposited:||16 Feb 2010 23:54|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111714 Mental Health @ 50%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified @ 50%
|SEO Codes:||92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920414 Substance Abuse @ 40%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 30%
92 HEALTH > 9203 Indigenous Health > 920399 Indigenous Health not elsewhere classified @ 30%
|Citation Count from Web of Science||