E-Mental Health Innovations for Aboriginal and Torres Strait Islander Australians: A Qualitative Study of Implementation Needs in Health Services

Scoping review of telehealth use by Indigenous populations from Australia, Canada, New Zealand, and the United States

INTRODUCTION

Telehealth has the potential to address health disparities experienced by Indigenous people, especially in remote areas. This scoping review aims to map and characterize the existing evidence on telehealth use by Indigenous people and explore the key concepts for effective use, cultural safety, and building therapeutic relationships.

METHODS

A search for published and gray literature, written in English, and published between 2000 and 2022 was completed in 17 electronic databases. Two reviewers independently screened retrieved records for eligibility. For included articles, data were extracted, categorized, and analyzed. Synthesis of findings was performed narratively.

RESULTS

A total of 321 studies were included. The most popular type of telehealth used was mHealth (44%), and the most common health focuses of the telehealth interventions were mental health (26%) and diabetes/diabetic retinopathy (13%). Frequently described barriers to effective telehealth use included concerns about privacy/confidentiality and limited internet availability; meanwhile, telehealth-usage facilitators included cultural relevance and community engagement. Although working in collaboration with Indigenous communities was the most frequently reported way to achieve cultural safety, 40% of the studies did not report Indigenous involvement. Finally, difficulty to establish trusting therapeutic relationships was a major concern raised about telehealth, and evidence suggests that having the first visit-in-person is a potential way to address this issue.

CONCLUSION

This comprehensive review identified critical factors to guide the development of culturally-informed telehealth services to meet the needs of Indigenous people and to achieve equitable access and positive health outcomes.

Barriers and facilitators to the implementation of digital technologies in mental health systems: a qualitative systematic review to inform a policy framework

BACKGROUND

Despite the potential for improved population mental health and wellbeing, the integration of mental health digital interventions has been difficult to achieve. In this qualitative systematic review, we aimed to identify barriers and facilitators to the implementation of digital technologies in mental healthcare systems, and map these to an implementation framework to inform policy development.

METHODS

We searched Medline, Embase, Scopus, PsycInfo, Web of Science, and Google Scholar for primary research articles published between January 2010 and 2022. Studies were considered eligible if they reported barriers and/or facilitators to the integration of any digital mental healthcare technologies. Data were extracted using EPPI-Reviewer Web and analysed thematically via inductive and deductive cycles.

RESULTS

Of 12,525 references identified initially, 81 studies were included in the final analysis. Barriers and facilitators were grouped within an implementation (evidence-practice gap) framework across six domains, organised by four levels of mental healthcare systems. Broadly, implementation was hindered by the perception of digital technologies as impersonal tools that add additional burden of care onto both providers and patients, and change relational power asymmetries; an absence of resources; and regulatory complexities that impede access to universal coverage. Facilitators included person-cantered approaches that consider patients' intersectional features e.g., gender, class, disability, illness severity; evidence-based training for providers; collaboration among colleagues; appropriate investment in human and financial resources; and policy reforms that tackle universal access to digital health.

CONCLUSION

It is important to consider the complex and interrelated nature of barriers across different domains and levels of the mental health system. To facilitate the equitable, sustainable, and long-term digital transition of mental health systems, policymakers should consider a systemic approach to collaboration between public and private sectors to inform evidence-based planning and strengthen mental health systems.

PROTOCOL REGISTRATION

The protocol is registered on PROSPERO, CRD42021276838.

Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis

BACKGROUND

Mobile health (mHealth) tools have emerged as a promising health care technology that may contribute to cost savings, better access to care, and enhanced clinical outcomes; however, it is important to ensure their acceptance and adoption to harness this potential. Patient adoption has been recognized as a key challenge that requires further exploration.

OBJECTIVE

The aim of this review was to systematically investigate the literature to understand the factors affecting patients' adoption of mHealth tools by considering sociotechnical factors (from technical, social, and health perspectives).

METHODS

A structured search was completed following the participants, intervention, comparators, and outcomes framework. We searched the MEDLINE, PubMed, Cochrane Library, and SAGE databases for studies published between January 2011 and July 2021 in the English language, yielding 5873 results, of which 147 studies met the inclusion criteria. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and the Cochrane Handbook were followed to ensure a systematic process. Extracted data were analyzed using NVivo (QSR International), with thematic analysis and narrative synthesis of emergent themes.

RESULTS

The technical factors affecting patients' adoption of mHealth tools were categorized into six key themes, which in turn were divided into 20 subthemes: usefulness, ease of use, data-related, monetary factors, technical issues, and user experience. Health-related factors were categorized into six key themes: the disease or health condition, the care team's role, health consciousness and literacy, health behavior, relation to other therapies, integration into patient journey, and the patients' insurance status. Social and personal factors were divided into three key clusters: demographic factors, personal characteristics, and social and cultural aspects; these were divided into 19 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

CONCLUSIONS

This review builds on the growing body of research that investigates patients' adoption of mHealth services and highlights the complexity of the factors affecting adoption, including personal, social, technical, organizational, and health care aspects. We recommend a more patient-centered approach by ensuring the tools' fit into the overall patient journey and treatment plan, emphasizing inclusive design, and warranting comprehensive patient education and support. Moreover, empowering and mobilizing clinicians and care teams, addressing ethical data management issues, and focusing on health care policies may facilitate adoption.

Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

Background

Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user’s uptake and sustained interactions with these interventions.

Objective

This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs.

Methods

A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included.

Results

A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one’s own health.

Conclusions

Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.

Organizational and Policy Barriers to the Use of Digital Mental Health by Mental Health Professionals

Background: Digital mental health (DMH) provides effective methods of overcoming issues of time constraints, accessibility, and availability of mental health care. They can provide a valuable means to deliver mental health care in the present pandemic. However, adoption of these methods has been slow. Mental health professional (MHP) concerns at the organizational and policy level that influence this slow adoption need to be examined. Materials and Methods: A narrative review was conducted to identify the barriers. Searches using the databases Scopus, Embase, and PubMed were conducted to identify research focused on barriers reported by MHPs to use DMH. Results: The search resulted in 356 unique citations, and 21 papers met the inclusion and exclusion criteria. Forward and backward sampling resulted in identifying an additional 19 relevant papers. Discussion: Unmet needs for information, training, and infrastructure, challenges to the workflow and excessive workloads, and ambiguous policies serve as barriers to DMH use. This article recommends strategies for researchers, organizations, DMH designers, and governmental institutions to ensure efficient utilization of DMH. Conclusion: Concerted efforts at individual, organizational, and governmental levels are essential to ensure efficient utilization of DMH.

Connection to... Addressing Digital Inequities in Supporting the Well-Being of Young Indigenous Australians in the Wake of COVID-19

(1) Background: This article examines whether connection to digital technologies helps connect young Indigenous people in Australia to culture, community and country to support good mental health and well-being and protect against indirect and potentially long-term effects of COVID-19. (2) Method: We reviewed literature published between February and November 2020 and policy responses related to digital strategies. We searched PubMed, Google Scholar, government policy websites and key Indigenous literature sources, identifying 3460 articles. Of these, 30 articles and 26 policy documents were included and analysed to identify existing and expected mental health outcomes among Indigenous young people associated with COVID-19 and more broadly. (3) Results: There are inequities in affordable access to digital technologies. Only 63% of Indigenous people have access to internet at home. Digital technologies and social media contribute to strong cultural identity, enhance connections to community and country and improve mental health and social and emotional well-being outcomes. (4) Discussion: Access to digital technologies can facilitate healing and cultural continuity, self-determination and empowerment for young people to thrive, not just survive, in the future. (5) Conclusion: More targeted policies and funding is urgently needed to promote digital technologies to enhance Indigenous young people's access to mental health and well-being services, maintain cultural connections and evaluate the effectiveness of these initiatives using Indigenous well-being indicators.

Factors Impacting Clinicians' Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study

BACKGROUND

Mobile health (mHealth) tools have shown promise in clinical photo and wound documentation for their potential to improve workflows, expand access to care, and improve the quality of patient care. However, some barriers to adoption persist.

OBJECTIVE

This study aims to understand the social, organizational, and technical factors affecting clinicians' adoption of a clinical photo documentation mHealth app and its implications for clinical workflows and quality of care.

METHODS

A qualitative case study of a clinical photo and wound documentation app called imitoCam was conducted. The data were collected through 20 in-depth interviews with mHealth providers, clinicians, and medical informatics experts from 8 clinics and hospitals in Switzerland and Germany.

RESULTS

According to the study participants, the use of mHealth in clinical photo and wound documentation provides numerous benefits such as time-saving and efficacy, better patient safety and quality of care, enhanced data security and validation, and better accessibility. The clinical workflow may also improve when the app is a good fit, resulting in better collaboration and transparency, streamlined daily work, clinician empowerment, and improved quality of care. The findings included important factors that may contribute to or hinder adoption. Factors may be related to the material nature of the tool, such as the perceived usefulness, ease of use, interoperability, cost, or security of the app, or social aspects such as personal experience, attitudes, awareness, or culture. Organizational and policy barriers include the available clinical practice infrastructure, workload and resources, the complexity of decision making, training, and ambiguity or lack of regulations. User engagement in the development and implementation process is a vital contributor to the successful adoption of mHealth apps.

CONCLUSIONS

The promising potential of mHealth in clinical photo and wound documentation is clear and may enhance clinical workflow and quality of care; however, the factors affecting adoption go beyond the technical features of the tool itself to embrace significant social and organizational elements. Technology providers, clinicians, and decision makers should work together to carefully address any barriers to improve adoption and harness the potential of these tools.

Understanding Clinicians' Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks

BACKGROUND

Although there is a push toward encouraging mobile health (mHealth) adoption to harness its potential, there are many challenges that sometimes go beyond the technology to involve other elements such as social, cultural, and organizational factors.

OBJECTIVE

This review aimed to explore which frameworks are used the most, to understand clinicians' adoption of mHealth as well as to identify potential shortcomings in these frameworks. Highlighting these gaps and the main factors that were not specifically covered in the most frequently used frameworks will assist future researchers to include all relevant key factors.

METHODS

This review was an in-depth subanalysis of a larger systematic review that included research papers published between 2008 and 2018 and focused on the social, organizational, and technical factors impacting clinicians' adoption of mHealth. The initial systematic review included 171 studies, of which 50 studies used a theoretical framework. These 50 studies are the subject of this qualitative review, reflecting further on the frameworks used and how these can help future researchers design studies that investigate the topic of mHealth adoption more robustly.

RESULTS

The most commonly used frameworks were different forms of extensions of the Technology Acceptance Model (TAM; 17/50, 34%), the diffusion of innovation theory (DOI; 8/50, 16%), and different forms of extensions of the unified theory of acceptance and use of technology (6/50, 12%). Some studies used a combination of the TAM and DOI frameworks (3/50, 6%), whereas others used the consolidated framework for implementation research (3/50, 6%) and sociotechnical systems (STS) theory (2/50, 4%). The factors cited by more than 20% of the studies were usefulness, output quality, ease of use, technical support, data privacy, self-efficacy, attitude, organizational inner setting, training, leadership engagement, workload, and workflow fit. Most factors could be linked to one framework or another, but there was no single framework that could adequately cover all relevant and specific factors without some expansion.

CONCLUSIONS

Health care technologies are generally more complex than tools that address individual user needs as they usually support patients with comorbidities who are typically treated by multidisciplinary teams who might even work in different health care organizations. This special nature of how the health care sector operates and its highly regulated nature, the usual budget deficits, and the interdependence between health care organizations necessitate some crucial expansions to existing theoretical frameworks usually used when studying adoption. We propose a shift toward theoretical frameworks that take into account implementation challenges that factor in the complexity of the sociotechnical structure of health care organizations and the interplay between the technical, social, and organizational aspects. Our consolidated framework offers recommendations on which factors to include when investigating clinicians' adoption of mHealth, taking into account all three aspects.

Evaluation of a three-phase implementation program in enhancing e-mental health adoption within Indigenous primary healthcare organisations

Background

A three-phase implementation program was carried out to support Indigenous primary healthcare organisations in Australia to integrate e-mental health approaches into the day-to-day practice. The present study aimed to evaluate the process and the effectiveness of the program.

Methods

A concurrent triangulation design was employed to collect and compare quantitative and qualitative data from organisations that participated in the implementation program (case studies) to those that participated in training only (non-case studies). Quantitative methods, i.e., t-tests and descriptive statistics, were used to measure outcomes relating to the frequency of e-mental health usage and levels of organisational readiness. Qualitative data were analysed separately, using theoretical thematic analysis, to gain an in depth understanding of the implementation process. The findings were integrated and interpreted within the implementation science literature.

Results

The case studies evidenced greater use of e-mental health approaches than the non-case studies. They also demonstrated increased organisational readiness over the course of the implementation program. The program helped organisations to work and improve on essential aspects within the organisation so that they better supported e-mental health adoption. The key areas addressed were Information Technology resources and infrastructure, leadership and support, policy and protocols around e-mental health utilisation and its integration into practice.

Conclusions

By addressing and improving essential aspects relating to e-mental health implementation, the program helped organisations to increase organisational readiness and enhance uptake of e-mental health approaches.

Evaluation of Electronic Mental Health Implementation in Northern Territory Services Using the Integrated "Promoting Action on Research Implementation in Health Services" Framework: Qualitative Study

BACKGROUND

Electronic mental health is a promising strategy to bridge the treatment gap in mental health care. Training workshops have been delivered to service providers working with Aboriginal and Torres Strait Islander people at a primary health care level to raise awareness and knowledge of electronic mental health approaches.

OBJECTIVE

This study aimed to understand service providers' perspectives and experiences of electronic mental health adoption. More specifically, it aimed to use the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to further identify and understand how different factors facilitate or impede electronic mental health uptake within primary health care settings providing services to Aboriginal and Torres Strait Islander people.

METHODS

Qualitative interviews were conducted with 57 service providers working with Aboriginal and Torres Strait Islander people, who had undergone electronic mental health training workshops.

RESULTS

Several factors related to innovation (electronic mental health approach), recipients (service providers as an individual and as a team), and context (local, organizational, and external contexts) were found to influence electronic mental health uptake. Particularly, organizational readiness, in terms of information technology resources and infrastructure, policies, workforce and culture, and processes to mandate electronic mental health use, were found to be significant impediments to electronic mental health utilization. These findings led to the development of a three-phase implementation strategy that aims to enhance electronic mental health adoption by addressing organizational readiness before and post electronic mental health training.

CONCLUSIONS

The i-PARIHS provides a useful determinant framework that deepens our understanding of how different factors impede or facilitate electronic mental health adoption in this setting. This insight was used to develop a practical and comprehensive implementation strategy to enhance the utilization of electronic mental health approaches within primary health care settings, involving three phases: pretraining consultations, training workshops, and post-training follow-up support.

Psychosocial disadvantage and residential remoteness is associated with Aboriginal women's mental health prior to childbirth

Introduction

Optimal mental health in the pre-conception, pregnancy and postpartum periods is important for both maternal and infant wellbeing. Few studies, however, have focused on Indigenous women and the specific risk and protective factors that may prompt vulnerability to perinatal mental disorders in this culturally diverse population.

Objectives

To assess mental health contacts in the period before childbirth among Australian Aboriginal and Torres Strait Islander women, the association with socioeconomic factors and whether it differs by geographic remoteness.

Methods

This is a retrospective cohort study of 19,165 Aboriginal mothers and includes all Aboriginal mothers and their children born in Western Australia from January 1990 to March 2015. It draws on population-level, linked administrative data from hospitals and mental health services, with a primary focus on the mental health contacts of Aboriginal women in the 5 years leading up to childbirth.

Results

The prevalence of maternal mental health contacts in the five years prior to birth was 27.6% (93.6% having a single mental health disorder), with a greater likelihood of contact in metropolitan areas compared with regional and remote settings. There was a positive relationship between socioeconomic advantage and the likelihood of a mental health contact for women in Metropolitan (β = 0.044, p=0.003) and Inner regional areas (β = 0.033, p=0.018), and a negative association in Outer regional (β = -0.038, p=0.022), Remote (β = -0.019, p=0.241) and Very remote regions (β = -0.053, p<0.001).

Conclusions

The findings from this study provide new insights on the dynamic relationship between SES, geographic location and mental health issues among Aboriginal women in the 5 years leading up to childbirth. The results underscore the need to apply location-specific approaches to addressing the material and psychosocial pathways that lead to mental health problems and the provision of culturally safe, appropriate and accessible services for Aboriginal women

Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review

Background

There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success.

Objective

The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives.

Methods

A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process.

Results

The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

Conclusions

The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review

BACKGROUND

There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success.

OBJECTIVE

The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians' adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives.

METHODS

A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process.

RESULTS

The technological factors impacting clinicians' adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

CONCLUSIONS

The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

A cross sectional survey of internet use among a highly socially disadvantaged population of tobacco smokers

Background

Tobacco smoking is highest among population groups which are the most socially disadvantaged. Internet-based smoking cessation programs have been found to be effective, though rates of internet access are not well known in these groups. This study describes the rates of internet use and types of technology used to access the internet by a population of socially disadvantaged smokers. The study also examined relationships between sociodemographic and smoking behaviours with amount of internet use and type of device used.

Methods

A cross-sectional survey of 369 clients (response rate 77%) from two non-government community service organisations in metropolitan New South Wales, Australia was conducted using touchscreen computers. Descriptive statistics and logistic regressions were used to examine results.

Results

Eligible participants ranged from 19 to 88 years old current tobacco users. Over half (58%) of the participants reported weekly or more frequent use of the internet with less than a third (28%) not having any access. The odds of using the internet at least weekly decreased with age and as heaviness of smoking increased (OR = 0.94, p < 0.001; OR = 0.81, p = 0.022, respectively). Odds of internet use were higher as income increased (OR = 2.74, p < 0.001 for individuals earning $201–$400 per week; OR = 2.83, p = 0.006 for individuals earning > $400 per week). Device use differed for age and income.

Conclusions

Internet-based interventions appear to reach the majority of socially disadvantaged populations. It is expected that this reach will continue to grow, making internet-based interventions a potential platform for providing care to low socioeconomic individuals who smoke, however inequalities may be exacerbated for those individual without internet access.

Implications

Internet use among socially disadvantaged tobacco users is moderate (58%). An internet-based smoking cessation intervention for socially disadvantaged tobacco users may be an effective intervention however, older, heavier tobacco users may not benefit as easily due to limited internet access and therefore acknowledging these limitations when developing an intervention can help to acknowledge limitation of intervention reach.

Web-based therapeutic interventions for assessing, managing and treating health conditions in Indigenous people: a scoping review protocol

REVIEW OBJECTIVES/QUESTIONS

The objective of the scoping review is to map the international scientific literature on web-based therapeutic interventions (WBTI) used by Indigenous people for assessing, managing and treating health conditions. The focus of this review is WBTIs for a broad range of health conditions, including but not limited to, communicable and non-communicable diseases, mental health conditions (including the broader concept of social and emotional wellbeing), use of harmful substances and gambling.The questions for the scoping review are.

Diversity in eMental Health Practice: An Exploratory Qualitative Study of Aboriginal and Torres Strait Islander Service Providers

BACKGROUND

In Australia, mental health services are undergoing major systemic reform with eMental Health (eMH) embedded in proposed service models for all but those with severe mental illness. Aboriginal and Torres Strait Islander service providers have been targeted as a national priority for training and implementation of eMH into service delivery. Implementation studies on technology uptake in health workforces identify complex and interconnected variables that influence how individual practitioners integrate new technologies into their practice. To date there are only two implementation studies that focus on eMH and Aboriginal and Torres Strait Islander service providers. They suggest that the implementation of eMH in the context of Aboriginal and Torres Strait Islander populations may be different from the implementation of eMH with allied health professionals and mainstream health services.

OBJECTIVE

The objective of this study is to investigate how Aboriginal and Torres Strait Islander service providers in one regional area of Australia used eMH resources in their practice following an eMH training program and to determine what types of eMH resources they used.

METHODS

Individual semistructured qualitative interviews were conducted with a purposive sample of 16 Aboriginal and Torres Strait Islander service providers. Interviews were co-conducted by one indigenous and one non-indigenous interviewer. A sample of transcripts were coded and thematically analyzed by each interviewer and then peer reviewed. Consensus codes were then applied to all transcripts and themes identified.

RESULTS

It was found that 9 of the 16 service providers were implementing eMH resources into their routine practice. The findings demonstrate that participants used eMH resources for supporting social inclusion, informing and educating, assessment, case planning and management, referral, responding to crises, and self and family care. They chose a variety of types of eMH resources to use with their clients, both culturally specific and mainstream. While they referred clients to online treatment programs, they used only eMH resources designed for mobile devices in their face-to-face contact with clients.

CONCLUSIONS

This paper provides Aboriginal and Torres Strait islander service providers and the eMH field with findings that may inform and guide the implementation of eMH resources. It may help policy developers locate this workforce within broader service provision planning for eMH. The findings could, with adaptation, have wider application to other workforces who work with Aboriginal and Torres Strait Islander clients. The findings highlight the importance of identifying and addressing the particular needs of minority groups for eMH services and resources.

Translating E-Mental Health Into Practice: What Are the Barriers and Enablers to E-Mental Health Implementation by Aboriginal and Torres Strait Islander Health Professionals?

Background

With increasing evidence for the effectiveness of e-mental health interventions for enhancing mental health and well-being, a growing challenge is how to translate promising research findings into service delivery contexts. A 2012 e-mental health initiative by the Australian Federal Government (eMHPrac) has sought to address the issue through several strategies, one of which has been to train different health professional workforces in e-mental health (e-MH).

Objective

The aim of the study was to report on the barriers and enablers of e-MH uptake in a cohort of predominantly Aboriginal and Torres Strait Islander health professionals (21 Indigenous, 5 non-Indigenous) who occupied mainly support or case management roles within their organizations.

Methods

A 3- or 2-day e-MH training program was followed by up to 5 consultation sessions (mean 2.4 sessions) provided by the 2 trainers. The trainer-consultants provided written reports on each of the 30 consultation sessions for 7 consultation groups. They were also interviewed as part of the study. The written reports and interview data were thematically analyzed by 2 members of the research team.

Results

Uptake of e-MH among the consultation group was moderate (22%-30% of participants). There were significant organizational barriers to uptake resulting from procedural and administrative problems, demanding workloads, prohibitive policies, and a lack of fit between the organizational culture and the introduction of new technologies. Personal barriers included participant beliefs about the applicability of e-MH to certain populations, and workers’ lack of confidence and skills. However, enthusiastic managers and tech-savvy champions could provide a counter-balance as organizational enablers of e-MH; and the consultation sessions themselves appear to have enhanced skills and confidence, shifted attitudes to new technologies, and seeded a perception that e-MH could be a valuable health education resource.

Conclusions

A conclusion from the program was that it was important to match e-MH training and resources to work roles. In the latter stages of the consultation sessions, the Aboriginal and Torres Strait Islander health professionals responded very positively to YouTube video clips and apps with a health education dimension. Therapy-oriented apps and programs may fit less well within the scope of practice of some workforces, including this one. We suggest that researchers broaden their focus and definitions of e-MH and give rather more weight to e-MH’s health education possibilities. Developing criteria for evaluating apps and YouTube videos may empower a rather greater section of health workforce to use e-MH with their clients.