Regulation of Information Technology in Behavioral Health

Goldstein, Melissa M.

doi:10.1177/003335491513000419

Cited by 4 publications

References 8 publications

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A model for evaluating eHealth preparedness – a case study approach

Yusif

Hafeez‐Baig

Soar

2020

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Purpose This paper aims to validate an initially developed e-Health readiness assessment model. Design/methodology/approach The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested. Findings The results suggest that the model [R2 = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment.. Originality/value This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

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A model for evaluating eHealth preparedness – a case study approach

Yusif

Hafeez‐Baig

Soar

2020

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Privacy Language in Scholarly Literature on Mental Health Apps: Systematic Review (Preprint)

Ebben¹,

Murphy²

2020

Preprint

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BACKGROUND Mental health apps raise critical questions about privacy. Personal mental health information, if collected and distributed inappropriately through these apps, can threaten employment, social and political opportunities, personal relationships, and contribute to social isolation and other detrimental effects. Given this context, examination of privacy in mental health apps is warranted. OBJECTIVE This study traces the trajectory of privacy language in scholarship about mental health apps since their arrival in the marketplace in 2008 and offers a critical, meta-analysis of this body of empirical research. METHODS Articles for analysis (N=136) were drawn from a comprehensive search of over 340 academic databases for peer-reviewed journal articles from 2008 to June 2019. Qualitative thematic analysis charts the development of privacy discourse on mental health apps. RESULTS The concept of privacy is under-theorized in mental health app research. The study characterizes the development of privacy language in three phases: Phase One: Discourse of Technological Possibility, Phase Two: Discourse of Privacy Challenges and Threats, and Phase Three: Discourse of Advocacy. Results show a developing acknowledgement of privacy concerns culminating in strategic approaches to protecting privacy by addressing security issues such as risk mitigation, privacy certification, and advocacy for mental health app regulation. CONCLUSIONS Findings show that mental health apps pose unique and fundamental concerns about privacy. The meta-analysis of this body of scholarship demonstrates that digital privacy in mental health apps requires substantive security measures to protect users from harm. CLINICALTRIAL n/a

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An Analysis of Privacy Language in the Scholarly Literature on Mental Health Apps

Ebben

Murphy

2021

Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps

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This chapter charts the language of privacy in published scholarship on mental health apps. What definition of privacy is assumed? What meanings of privacy are deployed in the research about mental health apps? Using a qualitative thematic approach, this analysis shows that privacy language can be understood as occurring in three phases: Phase 1: Discourse of Technological Possibility; Phase 2: Discourse of Privacy Challenges and Threats; and Phase 3: Discourse of Advocacy. The authors discuss each of these phases and propose a more critical discourse of privacy by identifying the issues inherent in understanding privacy as security.

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Regulation of Information Technology in Behavioral Health

Cited by 4 publications

References 8 publications

A model for evaluating eHealth preparedness – a case study approach

A model for evaluating eHealth preparedness – a case study approach

Privacy Language in Scholarly Literature on Mental Health Apps: Systematic Review (Preprint)

An Analysis of Privacy Language in the Scholarly Literature on Mental Health Apps

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