Understanding the acceptability, utilisation and current evidence base of mHealth and online interventions: a traditional and non-traditional approach.

Introduction: There is an increased acceptance and demand for online and mobile health (mHealth) interventions to support physical and mental health problems. However, the uptake and engagement of these interventions is relatively low and the evidence base for these interventions requires continual updating in line with technological advances. A systematic review was conducted, focusing on anxiety and depression, to explore the existing evidence base of both physical health and mental health mobile applications. The first research paper explores the acceptability of mHealth interventions for both mental health and physical health problems. The final research paper explores use and strategies when searching for mental health information online. Additionally, perceived quality, sentiment and barriers to online health information was explored. Methods: Studies were identified by searching for articles published between January 2008 and January 2016. Databases included: PsycINFO, MEDLINE, CINAHL PLUS and the Cochrane Central Register of Controlled Trials for 2016. In the research articles, 218 people completed an online survey in January 2016 exploring, online health seeking for mental health and physical health problems, and acceptability of mHealth interventions. Sentiment of online health resources was explored by extracting 432 individual tweets from Twitter. Results: The systematic review revealed twenty-seven studies for inclusion; 10 with a physical health focus and 17 with a mental health focus. Targeted depression applications have the superior evidence base; however, no firm conclusions can be made regarding interventions that targeted physical health, or those measuring anxiety. The first research paper found that face-to-face therapy would more likely meet expectations for treatment of both physical and mental health problems compared to mHealth interventions. Computerised interventions were more likely to meet expectations than mobile applications. Expectations of treatment were higher for the treatment of mental health problems than physical health problems. The second research paper found that a large proportion of the public use the internet to search for information on mental health, with half citing it as their primary source for mental health information. The online survey found that the quality of mental health information available on the internet was rated favourably, compared to mobile applications. Overall, the sentiment towards specific online mental health resources was generally positive. Conclusions: Research into online and mHealth interventions has developed considerably in recent years in line with advances in technology. These interventions have the potential to be an effective treatment of common mental health problems. The systematic review highlighted that depression applications are more established and effective than applications targeting anxiety. The first research paper suggests that mHealth interventions fall short of public expectations for treatment of health problems. The final research paper reflects that the perceived quality of online mental health information is rated favourably. However, many barriers still limit uptake. Future research could focus on continually developing and evaluating evidence based online and mHealth interventions and the outcome of this study suggests that incorporating them more widely into existing care systems, alongside face to face interventions could increase the public’s confidence in these interventions

Optimizing Mental Health Care by Increasing Access Services through Evidenced-based mHealth Applications

BACKGROUND: The COVID pandemic has disrupted mental health services leading to an increased need for mental health support. Nearly half of all adults in the United States have reported worry and stress leading to a rise in feelings of anxiety. Currently, there is a mental health workforce shortage, impacting the available treatment services. Mobile Health (mHealth) applications can help bridge the gap in the availability of these services and potentially improve health outcomes through education, social support, self-managed care, and patient-provider communication. PURPOSE: The purpose is to optimize mental health care and access to services by leveraging the use of mHealth applications. METHODS: The Technology Acceptance Model (TAM) guided this quality improvement project using technology to support mental health. A college representative sent a Qualtrics© survey to adult participants who were students, employees, or staff on the campus. In addition, all participants had regular access to a smartphone and no previous experience with the Sanvello© digital application. The participants self-enrolled in the project by providing consent, demographic information, and responses to the Generalized Anxiety Disorder 7 (GAD-7) instrument. After completing the GAD-7, participants received download and use instructions for the Sanvello© smartphone application. Following the use of the smartphone application, participants were surveyed for their perceptions on the use of mHealth for mental health care. RESULTS: Pre-intervention findings included an aggregate GAD-7 median score of 18.96 indicating high levels of anxiety, a gap in the resources for those with anxiety, worry, and stress symptoms, and that participants reported receptivity to education as well as preventative and early treatment. 50 participated in the pre-intervention survey and received instructions on the use of the Sanvello© app. Post intervention survey participants (n=32) reported they used the free version of the application. Most indicated that they used the application less than once a week, with 50% of participants indicating they felt the mHealth application improved access to mental health care services. Following the intervention, an aggregate GAD-7 score of 15.52 was noted. Qualitative thematic analysis noted four dominant themes: ease of use, time, technical functionality, and engagement in the use of the application. CONCLUSION: Providing care through technological tools such as mHealth applications can reform how we support access to mental health services while delivering evidence-based care. This use of technology permits greater flexibility for patients and mental health care providers while optimizing access to mental health services

Barriers to older adults’ uptake of mobile-based mental health interventions

Background To address increasing demand of mental healthcare treatments for older adults and the need to reduce delivery costs, healthcare providers are turning to mobile applications. The importance of psychological barriers have been highlighted in the uptake of mobile-based mental health interventions and efforts have been made to identify these barriers in order to facilitate initial uptake and acceptance. However, limited research has focused on older adults’ awareness of these applications and factors that might be hindering their use. Objective The purpose of this study was to explore the perceived barriers that older adults experience in the uptake of mobile-based mental health interventions. Methods Semi-structured interviews were conducted with a sample of 10 older adults, 50 years or older (female = 7, mean age = 68 years), who experienced periods of low mood. National Health Service applications were demonstrated to facilitate conversation and explore participants’ understanding of mental health and mobile-based mental health interventions. Thematic analysis was used to analyse the interview transcripts. Results The social ecological model was adopted as an organising framework for the thematic analysis which identified six distinct barriers to older adults’ uptake of mobile-based mental health interventions: mental electronic-health (e-health) awareness, interaction with technology, discontinuation, ‘seeing’ facilitates therapeutic alliance, incongruent role of the general practitioner and privacy and confidentiality. Conclusions Older adults experience a number of barriers to uptake ranging from the individual level to a macro, organisational level. The practical implications of these barriers are discussed such as the need for increased awareness of mobile-based mental health interventions among older adults

Application of Smartphone Technology in the Management and Treatment of Mental Illnesses

Abstract: Background: Mental illness continues to be a significant Public Health problem and the innovative use of technology to improve the treatment of mental illnesses holds great public health relevance. Over the past decade telecommunications technology has been used to increase access to and improve the quality of mental health care. There is current evidence that the use of landline and cellular telephones, computer-assisted therapy, and videoconferencing can be effective in improving treatment outcomes. Smartphones, as the newest development in communications technology, offer a new opportunity to improve mental health care through their versatile nature to perform a variety of functions. Methods: A critical literature review was performed to examine the potential of smartphones to increase access to mental health care, reduce barriers to care, and improve patient treatment outcomes. The review was performed by searching several electronic databases using a combination of keywords related to smartphones and mental health interventions using mobile devices. Literature concerning the use of cell phones, handheld computers, and smartphones to improve access to mental health care and improve treatment outcomes was identified.Results: The majority of studies identified were feasibility and pilot studies on patients with a variety of diagnosed mental illnesses using cell phones and PDAs. Authors report that most study participants, with some exceptions, were capable of using a mobile device and found them acceptable to use. Few studies extensively measured treatment outcomes and instead reported preliminary results and presented case illustrations. Studies which used smartphones successfully used them collect data on patients and deliver multimedia interventions. Discussion: The current literature offers encouraging evidence for the use of smartphones to improve mental health care but also reflects the lack of research conducted using smartphones. Studies which examine care provider use of smartphones to improve care is encouraging but has limited generalizability to mental health care. The feasibility of patient use of smartphones is also encouraging, but questions remain about feasibility in some sub-populations, particularly schizophrenia patients. Pilot testing of mobile devices and applications can greatly increase the feasibility of using smartphones in mental health care. Patients who are unfamiliar with smartphones will likely need initial training and support in their use. Conclusion: The literature identified several ways in which smartphones can increase access to care, reduce barriers, and improve treatment outcomes. Study results were encouraging but scientifically weak. Future studies are needed replicating results of studies using cell phones and PDAs on smartphones. Larger and higher quality studies are needed to examine the feasibility, efficacy, and cost-effectiveness of smartphones to deliver multiple component interventions that improve access to mental health care and improve treatment outcomes

Diffusion of e-health innovations in 'post-conflict' settings: a qualitative study on the personal experiences of health workers.

BACKGROUND: Technological innovations have the potential to strengthen human resources for health and improve access and quality of care in challenging 'post-conflict' contexts. However, analyses on the adoption of technology for health (that is, 'e-health') and whether and how e-health can strengthen a health workforce in these settings have been limited so far. This study explores the personal experiences of health workers using e-health innovations in selected post-conflict situations. METHODS: This study had a cross-sectional qualitative design. Telephone interviews were conducted with 12 health workers, from a variety of cadres and stages in their careers, from four post-conflict settings (Liberia, West Bank and Gaza, Sierra Leone and Somaliland) in 2012. Everett Roger's diffusion of innovation-decision model (that is, knowledge, persuasion, decision, implementation, contemplation) guided the thematic analysis. RESULTS: All health workers interviewed held positive perceptions of e-health, related to their beliefs that e-health can help them to access information and communicate with other health workers. However, understanding of the scope of e-health was generally limited, and often based on innovations that health workers have been introduced through by their international partners. Health workers reported a range of engagement with e-health innovations, mostly for communication (for example, email) and educational purposes (for example, online learning platforms). Poor, unreliable and unaffordable Internet was a commonly mentioned barrier to e-health use. Scaling-up existing e-health partnerships and innovations were suggested starting points to increase e-health innovation dissemination. CONCLUSIONS: Results from this study showed ICT based e-health innovations can relieve information and communication needs of health workers in post-conflict settings. However, more efforts and investments, preferably driven by healthcare workers within the post-conflict context, are needed to make e-health more widespread and sustainable. Increased awareness is necessary among health professionals, even among current e-health users, and physical and financial access barriers need to be addressed. Future e-health initiatives are likely to increase their impact if based on perceived health information needs of intended users

CoachAI: A Conversational Agent Assisted Health Coaching Platform

Poor lifestyle represents a health risk factor and is the leading cause of morbidity and chronic conditions. The impact of poor lifestyle can be significantly altered by individual behavior change. Although the current shift in healthcare towards a long lasting modifiable behavior, however, with increasing caregiver workload and individuals' continuous needs of care, there is a need to ease caregiver's work while ensuring continuous interaction with users. This paper describes the design and validation of CoachAI, a conversational agent assisted health coaching system to support health intervention delivery to individuals and groups. CoachAI instantiates a text based healthcare chatbot system that bridges the remote human coach and the users. This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's workload and enhance care given to users, by handling (automating) repetitive caregiver tasks; and (3) it presents a domain independent mobile health conversational agent for health intervention delivery. We will discuss our approach and analyze the results of a one month validation study on physical activity, healthy diet and stress management

Exploring Challenges in Conducting E-Mental Health Research Among Asian American Women

In this discussion paper, we explore the challenges of conducting e-mental health intervention research among Asian American women and propose a model for addressing these barriers. Based on an extensive literature review, we identify two main types of barriers to conducting e-mental health intervention research among Asian American women: recruitment barriers and adherence barriers. Recruitment barriers are further subcategorized into those related to (1) stigmatized cultural beliefs about mental illness and mental health services; (2) lack of awareness about mental health services; and (3) language barrier. As to adherence barriers, the two identified subtypes concern (1) acuity and severity of mental health condition; and (2) lack of time. In order to enhance recruitment and adherence in e-mental health intervention research among the studied population, we formulate the following three main research strategies, namely: (1) considering the cultural and social contexts of Asian American women in the development of e-mental health interventions; (2) determining appropriate program length; and (3) conducting feasibility studies to test e-mental health interventions. We suggest that nurse researchers integrate our proposed model in conducting e-mental health interventions among Asian American women. Our proposed model also implies that nurses play an important role in encouraging Asian American women’s acceptance of and adherence to e-mental health interventions. In order to overcome the obstacles to conducting e-mental health research among Asian American women, we recommend that nurses familiarize themselves with credible, relevant, and evidence-based e-mental health resources and integrate online mental health services and information within their nursing practice

Mobile phone-based healthcare delivery in a Sami area: Reflections on technology and culture\ud

This paper analyses the redesign of psychiatric services for children and\ud adolescents in a Sami area in the county of Finnmark in Norway. The project\ud included the introduction of a new technology in support of a decentralized model\ud for healthcare service delivery. We focus specifically on the role of culture in the\ud development and implementation of a mobile phone application during the pilot\ud phase of the project. In our analysis we draw on information infrastructure theory.\ud We are in particular interested in the concept of generativity and critically assess\ud its role of in the analysis of technology in a culturally diverse context

Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials