Theme Issue on E-Mental Health: A Growing Field in Internet Research

Journal of Medical Internet Research (Impact Factor: 3.43). 12/2010; 12(5):e74. DOI: 10.2196/jmir.1713
Source: PubMed


This theme issue on e-mental health presents 16 articles from leading researchers working on systems and theories related to supporting and improving mental health conditions and mental health care using information and communication technologies. In this editorial, we present the background of this theme issue, and highlight the content of this issue.

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Available from: Heleen Riper,
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    • "( also m - health , mHealth , or mobile health ) could be defined as the practice of medicine and public health supported by mobile communication devices , such as mobile phones , tablet computers , and personal digital assistants ( PDAs ) , for health services and information ( Eysenbach , 2001 , 2011 ; Riper et al . , 2010 ; Cipresso et al . , 2012 ; Whittaker , 2012 ; Fiordelli et al . , 2013 ; Castelnuovo et al . , 2014 , 2015 ) . Programs with eHealth platforms and new technologies could overcome limitations connected to the traditional in - patient chronic care management of obesity with type 2 diabetes by providing promising opportunities for enhanci"
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    ABSTRACT: Obesity and being overweight could be real chronic conditions above all if there are other complications such as type 2 diabetes, cardiovascular diseases, hypertension, dyslipidemia, hypercholesterolemia, cancer, and various psychosocial and psychopathological disorders. Due to the multifactorial etiology of obesity, evidence-based interventions to improve weight loss, maintain a healthy weight, and reduce related comorbidities combine different treatment approaches: dietetic, nutritional, physical, behavioral, psychological, and, in some situations, pharmacological and surgical. There are significant limitations in this multidisciplinary chronic care management of obesity, most notably those regarding costs and long-term adherence and efficacy. Programs including eHealth platforms and new technologies could overcome limitations connected to the traditional in-patient chronic care management of obesity, thus providing promising opportunities in enhancing weight reduction and reducing complications in terms of long-term efficacy and effectiveness across clinical, organizational, and economic perspectives.
    Frontiers in Psychology 10/2015; 6. DOI:10.3389/fpsyg.2015.01557 · 2.80 Impact Factor
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    • "e-health is characterized by the presence of 10 features: efficiency, enhanced quality of care, evidence-based approach, empowerment of consumers and patients, encouragement of a new relationship between the patient and health professional, on-line education of physicians, information and communication exchange, extension of the health care scope beyond its conventional boundaries (in both geographical and conceptual sense), ethics and equity (Eysenbach, 2001). mHealth (m-health, mhealth, mobile health) could be defined as the practice of medicine and public health, supported by mobile communication devices, such as mobile phones, tablet computers, and PDAs, for health services and information (Riper et al., 2010; Eysenbach, 2011; Cipresso et al., 2012; Whittaker, 2012; Fiordelli et al., 2013). mHealth applications have also been implemented with promising applications and results in weight loss protocols and obesity rehabilitation (Chomutare et al., 2011; Burke et al., 2012; Cafazzo et al., 2012; Fiordelli et al., 2013; Martinez-Perez et al., 2013; Turner-McGrievy et al., 2013). "
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    ABSTRACT: Obesity is currently an important public health problem of epidemic proportions (globesity). Inpatient rehabilitation interventions that aim at improving weight-loss, reducing obesity-related complications and changing dysfunctional behaviors, should ideally be carried out in a multidisciplinary context with a clinical team composed of psychologists, dieticians, psychiatrists, endocrinologists, nutritionists, physiotherapists, etc. Long-term outpatient multidisciplinary treatments are likely to constitute an essential aspect of rehabilitation. Internet-based technologies can improve long-term obesity rehabilitation within a collaborative approach by enhancing the steps specified by psychological and medical treatment protocols. These outcomes may be augmented further by the mHealth approach, through creating new treatment delivery methods to increase compliance and engagement. mHealth (m-health, mobile health) can be defined as the practice of medicine and public health, supported by mobile communication devices for health services and information. mHealth applications which can be implemented in weight loss protocols and obesity rehabilitation are discussed, taking into account future research directions in this promising area.
    Frontiers in Psychology 06/2014; 5:559. DOI:10.3389/fpsyg.2014.00559 · 2.80 Impact Factor
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    • "The feasibility of web-based CBM is supported by a recent study on attentional bias retraining in social anxiety, which found error rates and reactions times comparable to those in a lab-based setting, though no evidence was found of training effects [61]. Second, online interventions are commonly faced with high attrition rates [62]. Therefore, treatment adherence is encouraged in five ways: 1) by automatic e-mails that are sent to invite and remind participants of CBM sessions 2) the possibility of e-mail contact with the first author in case participants have questions or encounter technical difficulties 3) the attention that was paid to the intervention rationale 4) the inclusion of motivating features to the CBM interventions 5) a lottery system in which participants who complete the follow-up assessments can win gift vouchers. "
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    ABSTRACT: The automatic tendency to attend to, positively evaluate and approach alcohol related stimuli has been found to play a causal role in problematic alcohol use and can be retrained by computerised Cognitive Bias Modification (CBM). In spite of CBMs potential as an internet intervention, little is known about the efficacy of web-based CBM. The study described in this protocol will test the effectiveness of web-based CBM in a double blind randomised controlled trial with a 2 (attention bias retraining: real versus placebo) x 2 (alcohol/no-go training: real versus placebo) x 2 (approach bias retraining: real versus placebo) factorial design.Methods/design: The effectiveness of 12 sessions of CBM will be examined among problem drinkers aged 18--65 who are randomly assigned to one of the eight CBM conditions, after completing two modules of a validated cognitive behavioural intervention, DrinkingLess. The primary outcome measure is the change in alcohol use. It is expected that, for each of the CBM interventions, participants in the real CBM conditions will show a greater decrease in alcohol use than participants in the placebo conditions. Secondary outcome measures include the percentage of participants drinking within the limits for sensible drinking. Possible mediating (change in automatic biases) and moderating (working memory, inhibition) factors will be examined, as will the comparative cost-effectiveness of the various CBM strategies. This study will be the first to test the relative efficacy of various web-based CBM strategies in problem drinkers. If proven effective, CBM could be implemented as a low-cost, low-threshold adjuvant to CBT-based online interventions for problem drinkers.Trial registration: Netherlands Trial register: NTR3875.
    BMC Public Health 07/2013; 13(1):674. DOI:10.1186/1471-2458-13-674 · 2.26 Impact Factor
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