scholarly journals Determining Acceptance of e-mental Health Interventions in Digital Psychodiabetology: A Quantitative online Survey using the Unified Theory of Acceptance and Use of Technology (Preprint)

10.2196/27436 ◽  
2021 ◽  
Author(s):  
Mirjam Damerau ◽  
Martin Teufel ◽  
Venja Musche ◽  
Hannah Kohler ◽  
Adam Schweda ◽  
...  
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
Health Interventions ◽  
Unified Theory ◽  
Use Of Technology ◽  
Mental Health Interventions

scholarly journals Determining Acceptance of e-mental Health Interventions in Digital Psychodiabetology: Using the Unified Theory of Acceptance and Use of Technology (Preprint)

2021 ◽  
Author(s):  
Mirjam Damerau ◽  
Martin Teufel ◽  
Venja Musche ◽  
Hannah Kohler ◽  
Adam Schweda ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Model ◽  
Health Interventions ◽  
Diabetic Patients ◽  
Unified Theory ◽  
Use Of Technology ◽  
Significant Difference ◽  
Mental Health Interventions ◽  
Explained Variance ◽  
Diabetes Patients

BACKGROUND Diabetes is a very common chronic disease, which confronts patients with massive physiological and psychological burdens. The digitalization of mental health care has generated effective e-mental health approaches, which bear indubitable practical value to patient treatment. However, before implementing and optimizing e-mental health tools, their acceptance and underlying barriers and resources should be determined first in order to be able to develop and establish effective patient-oriented interventions. OBJECTIVE This study aimed to assess the acceptance of e-mental health interventions in diabetes patients and to explore its underlying barriers and resources. METHODS A cross-sectional study was conducted in Germany over a period of two months in 2020 through an online survey recruited via online diabetes channels. Eligibility requirement was adult age (18 or above), a good command of the German language, internet access and a diagnosis of diabetes. Acceptance was measured using a modified questionnaire, which was based on the well-established Unified Theory of Acceptance and Use of Technology (UTAUT) and assessed health-related internet use, acceptance of e-mental health interventions and its barriers and resources. Mental health was measured using validated and established instruments, namely the Generalized Anxiety Disorder Scale-7, the Patient Health Questionnaire-2 and the Distress Thermometer. Additionally, socio-demographic and medical data regarding diabetes were asked RESULTS Of 340 participants starting the survey 76.8 % completed it, resulting in 261 participants and a final sample of 258 participants with complete datasets. The acceptance of e-mental health interventions in diabetes patients was overall moderate (M = 3.02, SD = 1.14). Sex and suffering from a mental disorder had a significant influence on acceptance (P < .001). In an extended UTAUT regression model (UTAUT predictors plus socio-demographics and mental health variables) acceptance was significantly predicted by distress (β = .11, P = .027) as well as by the UTAUT predictors performance expectancy (PE) (β = .50, P < .001), effort expectancy (EE) (β = .15, P = .001), and social influence (SI) (β = .28, P < .001). The comparison between an extended UTAUT regression model (13 predictors) and the UTAUT only regression model (PE, EE, SI) revealed no significant difference in explained variance (F10,244 = 1.567, P =.117). CONCLUSIONS This study supports the viability of the UTAUT model and its predictors in assessing acceptance of e-mental health interventions in diabetes patients. Three UTAUT predictors reached a notable amount of explained variance in acceptance of 75 %, indicating being a very useful and efficient method for measuring e-mental health intervention acceptance of diabetic patients. Due to the close link between acceptance and utilization, acceptance facilitating interventions focusing on these three UTAUT predictors should be fostered to bring forward the highly needed establishment of effective e-mental health interventions in psychodiabetology.

Associations between Suicide Behaviors and Religiosity in Young Adults

2021 ◽  
Vol 35 (4) ◽  
Author(s):  
Shannon Gwin ◽  
Paul Branscum ◽  
E. Laurette Taylor ◽  
Marshall Cheney ◽  
Sarah B. Maness ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Online Survey ◽  
Suicide Ideation ◽  
Health Interventions ◽  
Inverse Association ◽  
Parental Relationships ◽  
Mental Health Interventions ◽  
Southwestern State ◽  
Suicide Behaviors

The purpose of this study was to examine associations between suicide ideation, parental relation- ships, and religiosity among young adults. An online survey was administered to students (n=775) from colleges and universities in a southwestern state measuring suicide ideation, protective assets of parental relationships, and religiosity beliefs. Odds ratios analysis revealed a significant inverse association between religiosity and suicide ideation. Overall, higher rates religiosity appears to be associated with lower bouts of suicide ideation in the last 12 months. Addition of religious/spirituality-oriented tools may be important to incorporate in mental health interventions for those young adults that report having greater religiosity.

Predicting Acceptance of e-Mental Health Interventions in Patients with Obesity by using an extended Unified Theory of Acceptance Model (Preprint)

2021 ◽  
Author(s):  
Vanessa Rentrop ◽  
Mirjam Damerau ◽  
Adam Schweda ◽  
Jasmin Steinbach ◽  
Lynik Chantal Schüren ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Interventions ◽  
Unified Theory ◽  
Obese Patients ◽  
Utaut Model ◽  
Significant Difference ◽  
Mental Health Interventions ◽  
Explained Variance ◽  
Health Burdens ◽  
The Impact

BACKGROUND The rapid increase in the number of overweight and obese people is a worldwide health problem. Obesity is often associated with physiological and mental health burdens. Due to several barriers of face-to-face psychotherapy, one promising approach is to exploit recent developments and implement innovative e-mental health interventions that offer various benefits to obese patients as well as for the healthcare system. OBJECTIVE This study aimed to assess the acceptance of e-mental health interventions in patients with obesity and explore its influencing predictors. In addition, the well-established, Unified Theory of Acceptance and Use of Technology model (UTAUT) will be compared with an extended UTAUT model in terms of variance explanation of acceptance. METHODS A cross-sectional online survey study was conducted from July 2020 to January 2021 in Germany. Eligibility requirement was adult age (18 or above), internet access, a good command of the German language, and a BMI > 30 kg/m2 (obesity). 448 patients with obesity (grade I, II and III) were recruited via specialized social media platforms. The impact of various socio-demographic, medical, and mental health characteristics were assessed. eHealth-related data and acceptance of e-mental health interventions were examined using a modified questionnaire, which is based on the UTAUT. RESULTS Acceptance of e-mental health interventions in obese patients was overall moderate (M = 3.18, SD = 1.11). There are significant differences in acceptance of e-mental health interventions among obese patients depending on the degree of obesity, age, gender, occupational status, and mental health status. In an extended UTAUT regression model acceptance was significantly predicted by the depression score (PHQ-8) (β = .07, P = .028), stress due to constant availability via mobile phone or email (β = .06, P = .024) and the confidence in using digital media (β = -.058, P = .042), as well as by the UTAUT core predictors performance expectancy (PE) (β = .45, P < .001), effort expectancy (EE) (β = .22, P < .001), and social influence (SI) (β = .27, P < .001). The comparison between an extended UTAUT model (16 predictors) and the restrictive UTAUT model (PE, EE, SI) revealed a significant difference in explained variance (F13,431= 2.366, P = .005). CONCLUSIONS The UTAUT model has proven to be a valuable instrument to predict the acceptance of e-mental health interventions in patients with obesity. Furthermore, when additional predictors were added, a significantly higher percentage of explained variance in acceptance could be achieved. Based on the strong association between acceptance and future utilization, new interventions should focus on these UTAUT predictors to promote the urgently needed establishment of effective e-mental health interventions for patients with obesity, who suffer from mental health burdens.

scholarly journals GPs’ attitudes towards digital technologies for depression: an online survey in primary care

2018 ◽  
Vol 69 (680) ◽  
pp. e164-e170 ◽  
Author(s):  
Josefien JF Breedvelt ◽  
Victoria Zamperoni ◽  
David Kessler ◽  
Heleen Riper ◽  
Annet M Kleiboer ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Online Survey ◽  
Health Interventions ◽  
Mental Health Training ◽  
Multiple Choice Questions ◽  
Knowledge Use ◽  
Effective Interventions ◽  
Mental Health Interventions ◽  
The Uk

BackgroundDigital or electronic mental health (e-mental health) interventions can be useful approaches in reducing the burden of depression, with tools available for use in prevention, treatment, or relapse prevention. They may have specific benefit for primary care, as depression is often managed in this setting. However, little is known about attitudes and barriers among GPs towards e-mental health interventions for depression.AimThis study aimed to assess attitudes, knowledge, use, and barriers for depression-focused e-mental health among GPs across the UK.Design and settingAn online survey of self-selecting GPs in the UK conducted over a 10-day period in December 2017.MethodThe survey consisted of 13 multiple choice questions posted on the Doctors.net.uk (DNUK) website.ResultsIn all, 1044 responses were included; 72% of GPs reported using at least one type of e-mental health intervention for depression. Overall, GPs reported that e-mental health interventions are most effective when delivered in a guided way, rather than in an unguided manner. In addition, 92% of GPs reported that neither they nor their colleagues received e-mental health training.ConclusionA moderate number of GPs use e-mental health for depression in their services, and report it is likely that its use will increase. There is a gap in training and awareness of effective interventions. GPs consider guided e-mental health interventions to be most effective, in contrast to the unguided way it is mostly offered in primary care.

Online Consultations in Mental Healthcare During the Covid-19 Outbreak: An International Survey Study on Uptake and Experiences (Preprint)

2020 ◽  
Author(s):  
Nele AJ De Witte ◽  
Per Carlbring ◽  
Anne Etzelmueller ◽  
Tine Nordgreen ◽  
Maria Karekla ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Online Survey ◽  
Mental Healthcare ◽  
Survey Study ◽  
Online Consultation ◽  
Use Of Technology ◽  
Mental Health Interventions ◽  
Set Up

BACKGROUND While the general uptake of e-mental health interventions remained low over the past years, physical distancing and quarantine measures relating to the COVID-19 pandemic created a need and demand for online consultations and telepsychology in only a matter of weeks. OBJECTIVE This study investigates the uptake of online consultations provided by mental health professionals during the first wave of the COVID-19 pandemic, with a specific focus on professionals’ motivations, perceived barriers, and concerns regarding online consultations. METHODS An online survey on the use of online consultations was set up in March 2020. The Unified Theory of Acceptance and Use of Technology (UTAUT) guided the deductive qualitative analysis of the results. RESULTS In total, 2,082 mental health professionals from Austria, Belgium, Cyprus, France, Germany, Italy, Lebanon, Lithuania, the Netherlands, Norway, Portugal, Spain, and Sweden were included. The results showed a high uptake of online consultations during the COVID-19 pandemic but limited previous training on this topic undergone by mental health professionals. Most professionals had positive experiences with online consultations, but questions about the performance of online consultations in a mental health context and practical considerations appear to be major barriers that hinder implementation. CONCLUSIONS This study provides an overview of the mental health professionals’ actual needs and concerns regarding the use of online consultations in order to highlight areas of possible intervention and allow the implementation of necessary governmental, educational, and instrumental support so that online consultation can become a feasible and long-term option in mental healthcare.

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