e-Mental Health Improves Access to Care, Facilitates Early Intervention, and Provides Evidence-Based Treatments at a Distance

Shoemaker, Erica Z.; Hilty, Donald M.

doi:10.1007/978-3-319-20852-7_3

Cited by 8 publications

(5 citation statements)

References 51 publications

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“…E‐Couple and Family Therapy (e‐CFT; Borcsa and Pomini, 2018) has to be considered as an innovative therapeutic setting (Manfrida et al ., 2020; Shoemaker and Hilty, 2016; Wrape and McGinn, 2018). Surveys on the use of ICTs in SCFT’s clinical practices are few, and results are based on relatively small samples.…”

Section: Ict Use Among Systemic Therapistsmentioning

confidence: 99%

Digital systemic practices in Europe: a survey before the Covid‐19 pandemic

Borcsa

Pomini

Saint-Mont

2020

Journal of Family Therapy

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Knowledge regarding digital practices in the field of systemic therapy is poor. A few surveys have been conducted in non‐European countries investigating the provision of digitally based therapy, counselling, training, and supervision by systemic family and couple therapists (SCFTs). Thus, a survey aiming to investigate the use of information and communication technology (ICT) among European SCFTs was launched in 2017. A sample of 220 SCFTs was included in the survey. The majority were residents in Greece, France and Italy. Descriptive analysis compared SCFTs’ digital practices and concerns from the above three countries with those from the rest of Europe. Results showed that 81.4 per cent of European SCFTs used ICT for clinical purposes and 47.7 per cent in training and supervision. Main concerns among European SCFTs related to the quality of therapeutic relationship, ethical and legal issues, and a lack of national and transnational regulation. Practitioner points ICT use and e‐therapy increase access to mental health services and maintain therapeutic contact Systemic individual therapy, supervision and training are workable online settings Legislation regulating ICT use in therapy, supervision and training (e.g. General Data Protection Regulation) has to be respected Training and continuous education in online practices enhance therapists’ and clients’ options, and ensure digital safeness and effective treatment

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Section: Ict Use Among Systemic Therapistsmentioning

confidence: 99%

Digital systemic practices in Europe: a survey before the Covid‐19 pandemic

Borcsa

Pomini

Saint-Mont

2020

Journal of Family Therapy

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“…1 In industrialized countries, people seeking psychological treatments often face long waiting times. 2,3 Germany, where the prevalence of mental health illnesses was estimated to be 27.8% in 2018, 4 is no exception in this regard, and individuals wait an average of 19.9 weeks after first contacting a provider before they receive psychological treatment. 5 In light of such challenges, e-mental health interventions (eMHIs), also called online-or web-based interventions (in the following, the terms e-mental health interventions, online interventions, and online psychological treatment are used interchangeably), are considered to be promising treatment options or add-ons thanks to their flexible modes of delivery, low costs, and low barriers to access.…”

Section: Introductionmentioning

confidence: 99%

“…5 In light of such challenges, e-mental health interventions (eMHIs), also called online-or web-based interventions (in the following, the terms e-mental health interventions, online interventions, and online psychological treatment are used interchangeably), are considered to be promising treatment options or add-ons thanks to their flexible modes of delivery, low costs, and low barriers to access. 2,3 Such interventions can be broadly defined as the use of information and communication technologies in the field of mental health. 6 eMHIs are delivered mostly through online platforms accessible via personal computers, tablets, or smartphones 7 and are commonly based on established psychotherapeutic approaches, such as cognitive behavioral theory, mindfulness-based cognitive therapy, or acceptance and commitment theory.…”

Section: Introductionmentioning

confidence: 99%

Preferences for e-Mental Health Interventions in Germany: A Discrete Choice Experiment

Phillips¹,

Himmler

Schreyögg³

2021

Value in Health

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Objectives: Recent evidence suggests that e-mental health interventions can be effective at improving mental health but that there is still a notable hesitation among patients to use them. Previous research has revealed that they are perceived by patients as being less helpful than face-to-face psychotherapy. The reasons for this unfavorable perception are, however, not yet well understood. The aim of our study was to address this question by eliciting preferences for individual components of e-mental health interventions in a discrete choice experiment.Methods: Using a stepwise qualitative approach, we developed the following 5 attributes of eMHIs: introductory training, human contact, peer support, proven effectiveness, content delivery, and price. Additionally, we asked questions about respondents' demographics, attitudes, and previous experience of traditional psychotherapy, as well as their distress level.Results: A total of 1984 respondents completed the survey. Using mixed logit models, we found that personal contact with a psychotherapist in blended care, proven effectiveness, and low price were highly valued by participants. Participants were indifferent toward the mode of content delivery but showed a slight preference for introductory training via phone, as well as for peer support via online forum alongside coach-led group meetings on site.Discussion: Our results suggest a clear preference for blended care that includes face-to-face contact with a psychotherapist. This preference remained stable irrespective of sociodemographics, previous experience of psychotherapy, distress level, and the 2 context scenarios used in our discrete choice experiment. Further investigations looking at the potential benefits and risks of blended care are needed.

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“…As mentioned earlier, the stigma that some patients associate with visiting a clinician can discourage them from seeking help. Because patients can access e-Mental Health Services from their homes, this barrier disappears (Shoemaker and Hilty, 2016). Recent studies reveal that LGBTQ+ youth, for example, prefer to seek mental health care online (Dreyfuss, 2019).…”

Section: E-mental Health Servicesmentioning

confidence: 99%

Pooling Mental Health Data with Chatbots

Mattioli¹

2021

Governing Privacy in Knowledge Commons

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For an invisible condition, clinical anxiety casts a long shadow. In the United States, about 40 million adults -a full 18.1 percent of the population -suffer from an anxiety disorder, making it the most common type of mental health problem in the country [1]. Anxiety is insidious; it can crop up like a weed at any point in life, coloring one's days and nights with unaccountable feelings of dread. Anxiety is expensive. A recent study estimated that in the United States, the total costs of treatment, lost productivity, and lost wages are about $42 billion every year (Du Pont et al., 1996) [2]. This amount exceeds the most recent annual revenues of Facebook, Coca-Cola, Nike, and Morgan Stanley. Anxiety is thriving. There is a shortage of mental health workers (clinicians) in the United States, and experts believe that this problem of supply and demand will worsen substantially by 2025. Even when help is available, high prices and perceptions of social stigma prevent many people from seeking help [1].This chapter explores a new type of technology that relies in part upon large sets of patient data to relieve anxiety symptoms (Dobbs, 2017). The technology is software that can simulate certain kinds of conversations with human therapists. Referred to as "conversational agents" or "therapy chatbots," the idea might sound like science fiction, but it is a commercial reality. Recent studies indicate that conversational agents are useful in helping to reduce the symptoms of anxiety and depression. A recent peerreviewed study showed that the program highlighted in this chapter, "Woebot," can significantly reduce depressive symptoms in two weeks of regular use [3]. Some therapy chatbots have also been able to predict the onset of panic attacks or depressive episodes based on patterns in user behavior (Mathotaarachchi, et al., 2017). A key feature of therapy chatbots is their ability to improve over time by drawing insights from the ever-

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e-Mental Health Improves Access to Care, Facilitates Early Intervention, and Provides Evidence-Based Treatments at a Distance

Cited by 8 publications

References 51 publications

Digital systemic practices in Europe: a survey before the Covid‐19 pandemic

Digital systemic practices in Europe: a survey before the Covid‐19 pandemic

Preferences for e-Mental Health Interventions in Germany: A Discrete Choice Experiment

Pooling Mental Health Data with Chatbots

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