scholarly journals Connecting with Youth at Risk: Indigenous Organizations Use of Facebook

2019 ◽  
Vol 15 ◽  
Author(s):  
Channarong Intahchomphoo ◽  
André Vellino ◽  
Odd Erik Gundersen
Keyword(s):  
At Risk ◽  
Qualitative Study ◽  
Indigenous Peoples ◽  
Thematic Analysis ◽  
Social Programs ◽  
Indigenous Youth ◽  
The Public ◽  
Youth Program ◽  
Indigenous Organizations ◽  
Youth At Risk

A qualitative study in which we conducted four interviews with two communication managers and two youth program managers of three indigenous organizations with offices in Ottawa, the data generated from the interviews were coded based on factors identified through thematic analysis. Indigenous organizations use Facebook for two main reasons. The first reason is to promote the work of these organizations to the public and for them, in turn to listen to the public’s opinions about news related to indigenous peoples’ wellbeing. Secondly, Facebook is also used to engage urban indigenous youth at risk with indigenous organizations that provide social programs and outreach. Indigenous organizations use Facebook because many urban indigenous youth in Ottawa are using Facebook and it is the fastest way to connect with them when they are or feel at risk.

scholarly journals Infection control in the home: a qualitative study exploring perceptions and experiences of adhering to protective behaviours in the home during the COVID-19 pandemic

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e056161
Author(s):  
Katherine Morton ◽  
Lauren Towler ◽  
Julia Groot ◽  
Sascha Miller ◽  
Ben Ainsworth ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Infection Control ◽  
Survey Data ◽  
Thematic Analysis ◽  
Perceived Risk ◽  
Behavioural Intervention ◽  
The Public ◽  
Telephone Interviews ◽  
Qualitative Survey ◽  
Protective Behaviours

ObjectivesWe sought to explore people’s experiences and perceptions of implementing infection control behaviours in the home during the COVID-19 pandemic, guided by an online behavioural intervention.DesignInductive qualitative study.SettingUK public during the COVID-19 pandemic.ParticipantsThirteen people took part in telephone interviews, and 124 completed a qualitative open-text survey. All were recruited from the public. Most survey participants were aged over 60 years, while interview participants were more distributed in age. Most reported being at increased risk from COVID-19, and were white British.InterventionOnline behavioural intervention to support infection control behaviours in the home during the COVID-19 pandemic.Data collectionTelephone think-aloud interviews and qualitative survey data.Data analysisThe think-aloud interview data and qualitative survey data were analysed independently using inductive thematic analysis. The findings were subsequently triangulated.ResultsThematic analysis of the telephone interviews generated seven themes: perceived risk; belief in the effectiveness of protective behaviours; acceptability of distancing and isolation; having capacity to perform the behaviours; habit forming reduces effort; having the confidence to perform the behaviours; and social norms affect motivation to engage in the behaviours. The themes identified from the survey data mapped well onto the interview analysis. Isolating and social distancing at home were less acceptable than cleaning and handwashing, influenced by the need for intimacy with household members. This was especially true in the absence of symptoms and when perceived risk was low. People felt more empowered when they understood that even small changes, such as spending some time apart, were worthwhile to reduce exposure and lessen viral load.ConclusionsThe current study provided valuable insight into the acceptability and feasibility of protective behaviours, and how public health guidance could be incorporated into a behaviour change intervention for the public during a pandemic.

scholarly journals An Exploration of Youth–Parent–Mentor Relationship Dynamics in a Youth-Initiated Mentoring Intervention to Prevent Out-of-Home Placement

2019 ◽  
Vol 51 (7) ◽  
pp. 915-933 ◽  
Author(s):  
L. Van Dam ◽  
R. E. Bakhuizen ◽  
S. E. O. Schwartz ◽  
M. De Winter ◽  
M. Zwaanswijk ◽  
...  
Keyword(s):  
At Risk ◽  
Social Network ◽  
Qualitative Study ◽  
Relationship Quality ◽  
Mentor Relationship ◽  
Relationship Dynamics ◽  
Out Of Home Placement ◽  
Youth At Risk ◽  
Professional Care ◽  
Home Placement

This qualitative study explores the youth-initiated mentoring (YIM) approach for youth at risk for out-of-home placement. In this approach, a youth nominates someone from within their social network, and positions this person as a YIM to function as an ally for the youth and as a partner for parents and professional caregivers. Through interviews with six youth, six YIMs, and seven parents ( N = 19), we examined the positioning of a YIM and sustainability. The results indicated that attitudes from participants toward asking someone or being asked to become a YIM varied from enthusiastic to cautious. Participants reported increased contact intensity and relationship quality. Two parents did not experience YIM as beneficial. Most participants expected that the YIM–mentee relationship lasts after professional care terminates. The results reveal that YIM is experienced as an ally, but it also has the potential to increase relational conflicts between social network members.

scholarly journals Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research

2020 ◽  
Author(s):  
Melissa D McCradden ◽  
Tasmie Sarker ◽  
P Alison Paprica
Keyword(s):  
Artificial Intelligence ◽  
Qualitative Research ◽  
Qualitative Study ◽  
Focus Groups ◽  
Thematic Analysis ◽  
General Public ◽  
Improve Patient Care ◽  
Health Data ◽  
Qualitative Description ◽  
The Public

ABSTRACTObjectivesGiven widespread interest in applying artificial intelligence (AI) to health data to improve patient care and health system efficiency, there is a need to understand the perspectives of the general public regarding the use of health data in AI research.DesignA qualitative study involving six focus groups with members of the public. Participants discussed their views about AI in general, then were asked to share their thoughts about three realistic health AI scenarios. Data were analysed using qualitative description thematic analysis.SettingsTwo cities in Ontario, Canada: Sudbury (400 km north of Toronto) and Mississauga, (part of the Greater Toronto Area).ParticipantsForty-one purposively sampled members of the public (21M:20F, 25-65 years, median age 40).ResultsParticipants had low levels of prior knowledge of AI and mixed, mostly negative, perceptions of AI in general. Most endorsed AI as a tool for the analysis of health data when there is strong potential for public benefit, providing that concerns about privacy, consent, and commercial motives were addressed. Inductive thematic analysis identified AI-specific hopes (e.g., potential for faster and more accurate analyses, ability to use more data), fears (e.g., loss of human touch, skill depreciation from over-reliance on machines) and conditions (e.g., human verification of computer-aided decisions, transparency). There were mixed views about whether consent is required for health data research, with most participants wanting to know if, how and by whom their data were used. Though it was not an objective of the study, realistic health AI scenarios were found to have an educational effect.ConclusionsNotwithstanding concerns and limited knowledge about AI in general, most members of the general public in six focus groups in Ontario, Canada perceived benefits from health AI and conditionally supported the use of health data for AI research.STRENGTHS AND LIMITATIONS OF THIS STUDYA strength of this study is the analysis of how diverse members of the general public perceive three realistic scenarios in which health data are used for AI research.The detailed health AI scenarios incorporate points that previous qualitative research has indicated are likely to elicit discussion (e.g., use of health data without express consent, involvement of commercial organisations in health research, inability to guarantee anonymity of genetic data) and may also be useful in future qualitative research studies and for educational purposes.The findings are likely to be relevant to organisations that are considering making health data available for AI research and development.Notwithstanding the diverse ethnic and educational backgrounds of participants, overall the sample represents the general (mainstream) population of Ontario and results cannot be interpreted as presenting the views of specific subpopulations and may not be generalisable across Ontario or to other settings.Given the low level of knowledge about AI in general it is possible that the views of participants would change substantially if they learned and understood more about AI.TRANSPARENCY STATEMENTP. Alison Paprica affirms that the manuscript is an honest, accurate and transparent account of the study being reported; that no important aspects of the study have been omitted; and that there were no discrepancies from the study as originally approved by the University of Toronto Research Ethics Board.

scholarly journals Contextual factors putting DSM youth at risk for death by mob violence: a qualitative study

2012 ◽  
Vol 18 (Suppl 1) ◽  
pp. A144.1-A144
Author(s):  
A Outwater ◽  
E Tarimo ◽  
JC Campbell
Keyword(s):  
At Risk ◽  
Qualitative Study ◽  
Contextual Factors ◽  
Mob Violence ◽  
Youth At Risk

scholarly journals Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039798
Author(s):  
Melissa D McCradden ◽  
Tasmie Sarker ◽  
P Alison Paprica
Keyword(s):  
Artificial Intelligence ◽  
Qualitative Study ◽  
Focus Groups ◽  
Thematic Analysis ◽  
General Public ◽  
Improve Patient Care ◽  
Health Data ◽  
Qualitative Description ◽  
The Public ◽  
Greater Toronto Area

ObjectivesGiven widespread interest in applying artificial intelligence (AI) to health data to improve patient care and health system efficiency, there is a need to understand the perspectives of the general public regarding the use of health data in AI research.DesignA qualitative study involving six focus groups with members of the public. Participants discussed their views about AI in general, then were asked to share their thoughts about three realistic health AI research scenarios. Data were analysed using qualitative description thematic analysis.SettingsTwo cities in Ontario, Canada: Sudbury (400 km north of Toronto) and Mississauga (part of the Greater Toronto Area).ParticipantsForty-one purposively sampled members of the public (21M:20F, 25–65 years, median age 40).ResultsParticipants had low levels of prior knowledge of AI and mixed, mostly negative, perceptions of AI in general. Most endorsed using data for health AI research when there is strong potential for public benefit, providing that concerns about privacy, commercial motives and other risks were addressed. Inductive thematic analysis identified AI-specific hopes (eg, potential for faster and more accurate analyses, ability to use more data), fears (eg, loss of human touch, skill depreciation from over-reliance on machines) and conditions (eg, human verification of computer-aided decisions, transparency). There were mixed views about whether data subject consent is required for health AI research, with most participants wanting to know if, how and by whom their data were used. Though it was not an objective of the study, realistic health AI scenarios were found to have an educational effect.ConclusionsNotwithstanding concerns and limited knowledge about AI in general, most members of the general public in six focus groups in Ontario, Canada perceived benefits from health AI and conditionally supported the use of health data for AI research.

Lack of Belonging as Disrupting the Formation of Meaning and Faith

2018 ◽  
Vol 17 (2) ◽  
pp. 127-149 ◽  
Author(s):  
Suvi-Maria Katariina Saarelainen
Keyword(s):  
At Risk ◽  
Young People ◽  
Thematic Analysis ◽  
Meaning In Life ◽  
Asylum Seekers ◽  
Rural District ◽  
Individual Interviews ◽  
Life Context ◽  
Youth At Risk

The paper aims to discover how youth at risk of becoming marginalised describe the relations between meaning, faith and belonging. The data consists of 20 individual interviews with young people living in the small rural district of Lammi in southern Finland, including the experiences of three asylum seekers. Thematic analysis of the data indicated that these young people experienced lack of belonging on the levels of relationships and life context. Formations of personal faith and meaning in life become contested when it is not possible to find belonging. Meaning and belonging are found to be the roots for the growth of faith.

Identification and Remediation of At-Risk Student Clinicians in Audiology and Speech-Language Pathology

2008 ◽  
Vol 18 (1) ◽  
pp. 24-31
Author(s):  
Martha Wilder Wilson ◽  
Elizabeth Zylla-Jones
Keyword(s):  
At Risk ◽  
Training Programs ◽  
Professional Services ◽  
Speech Language Pathology ◽  
High Quality ◽  
The Public ◽  
Language Pathology ◽  
Remediation Plan ◽  
University Training ◽  
At Risk Student

Abstract The goal of university training programs is to educate speech-language pathology and audiology students to become competent and independent practitioners, with the ability to provide high quality and professional services to the public. This article describes the behaviors of “at-risk” student clinicians, so they may be identified early in their practica and remediation may be implemented. The importance of establishing a student at-risk protocol is discussed as well as a remediation plan for these students. This article summarized the Auburn University Speech and Hearing Clinic’s Student At-Risk Protocol, which may serve as a model for university training programs. The challenges of implementing such a protocol are also discussed.

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