scholarly journals The Influence of Human Support on the Effectiveness of Digital Mental Health Promotion Interventions for the General Population

2021 ◽  
Vol 12 ◽  
Author(s):  
Melanie Elise Renfrew ◽  
Darren Peter Morton ◽  
Jason Kyle Morton ◽  
Geraldine Przybylko
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
General Population ◽  
Mental Health Promotion ◽  
Mental Wellbeing ◽  
Digital Interventions ◽  
Support Conditions ◽  
Automated Support ◽  
Health Promotion Interventions ◽  
Human Support

Mental wellbeing amongst the general population is languishing—exacerbated by the Coronavirus Disease 2019 (COVID-19) pandemic. Digital mental health promotion interventions, that improve mental health literacy and encourage adoption of evidence-informed practical strategies are essential. However, attrition and non-adherence are problematic in digital interventions. Human support is often applied as an antidote; yet, there is a paucity of randomized trials that compare different human support conditions amongst general population cohorts. Limited trials generally indicate that human support has little influence on adherence or outcomes in DMHPIs. However, providing participants autonomy to self-select automated support options may enhance motivation and adherence.

scholarly journals Secondary School Pupils’ Mental Wellbeing Is Associated with Belonging to a Perceived Minority and Experiencing Discrimination

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 71
Author(s):  
Pinja Kokkonen ◽  
Christina Athanasopoulou ◽  
Helena Leino-Kilpi ◽  
Evanthia Sakellari
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Secondary School ◽  
Family Relations ◽  
Mental Health Promotion ◽  
Mental Wellbeing ◽  
Online Questionnaire ◽  
Screening Programs ◽  
Health Promotion Interventions ◽  
Secondary School Pupils

Adolescents’ mental health is a global issue and there is a growing interest in tackling mental health in schools. The study aimed to assess secondary school pupils’ mental wellbeing and the factors related to their mental wellbeing (sociodemographic characteristics, perception of belonging to a minority, and discrimination). Data were collected from 12–17-year-old pupils of a Finnish secondary school via an online questionnaire. Data were analyzed with descriptive statistics and ANOVA for group comparisons. Participants’ (Ν = 114) mental wellbeing scores were above average (47.5, max. 70). Worse family relations were independently associated with worse mental wellbeing. Additionally, significantly lower scores on mental wellbeing were found among pupils who thought they belonged to a minority due to appearance, sexual orientation, and/or chronic disease. Participants who had experienced discrimination had significantly lower mental wellbeing scores in comparison to those who never had such an experience. In conclusion, mental health promotion interventions which promote good family relations should be targeting different youth groups in order to address their specific needs. Thus, screening programs which identify pupils who are at risk or belong to minority groups are needed, in order to direct them to proper services when needed and/or implement mental health promotion interventions accordingly.

scholarly journals Evidence for implementation of interventions to promote mental health in the workplace: a systematic scoping review protocol

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Charlotte Paterson ◽  
Caleb Leduc ◽  
Margaret Maxwell ◽  
Birgit Aust ◽  
Benedikt L. Amann ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Scoping Review ◽  
Mental Health Problems ◽  
Evaluation Studies ◽  
Grey Literature ◽  
Mental Health Promotion ◽  
Successful Implementation ◽  
Health Promotion Interventions ◽  
Promote Mental Health

Abstract Background Mental health problems are common in the working population and represent a growing concern internationally, with potential impacts on workers, organisations, workplace health and compensation authorities, labour markets and social policies. Workplace interventions that create workplaces supportive of mental health, promote mental health awareness, destigmatise mental illness and support those with mental disorders are likely to improve health and economical outcomes for employees and organisations. Identifying factors associated with successful implementation of these interventions can improve intervention quality and evaluation, and facilitate the uptake and expansion. Therefore, we aim to review research reporting on the implementation of mental health promotion interventions delivered in workplace settings, in order to increase understanding of factors influencing successful delivery. Methods and analysis A scoping review will be conducted incorporating a stepwise methodology to identify relevant literature reviews, primary research and grey literature. This review is registered with Research Registry (reviewregistry897). One reviewer will conduct the search to identify English language studies in the following electronic databases from 2008 through to July 1, 2020: Scopus, PROSPERO, Health Technology Assessments, PubMed, Campbell Collaboration, Joanna Briggs Library, PsycINFO, Web of Science Core Collection, CINAHL and Institute of Occupational Safety and Health (IOSH). Reference searching, Google Scholar, Grey Matters, IOSH and expert contacts will be used to identify grey literature. Two reviewers will screen title and abstracts, aiming for 95% agreement, and then independently screen full texts for inclusion. Two reviewers will assess methodological quality of included studies using the Mixed Methods Appraisal Tool and extract and synthesize data in line with the RE-AIM framework, Nielson and Randall’s model of organisational-level interventions and Moore’s sustainability criteria, if the data allows. We will recruit and consult with international experts in the field to ensure engagement, reach and relevance of the main findings. Discussion This will be the first systematic scoping review to identify and synthesise evidence of barriers and facilitators to implementing mental health promotion interventions in workplace settings. Our results will inform future evaluation studies and randomised controlled trials and highlight gaps in the evidence base. Systematic review registration Research Registry (reviewregistry897)

scholarly journals Mental health promotion for gay, lesbian, bisexual, transgender and intersex New Zealanders

2013 ◽  
Vol 5 (2) ◽  
pp. 105 ◽  
Author(s):  
Jeffery Adams ◽  
Pauline Dickinson ◽  
Lanuola Asiasiga
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
General Population ◽  
Service Provision ◽  
Social Acceptance ◽  
Service Providers ◽  
Mental Health Promotion ◽  
Factors Affecting ◽  
Key Informants ◽  
New Zealanders

INTRODUCTION: A number of studies have identified that gay, lesbian, bisexual, transgender, and intersex (GLBTI) people have poorer mental health than the general population. This article describes current mental health promotion and service provision for GLBTI people in New Zealand, and the views of stakeholders on current service delivery and concerns facing the sector. METHODS: An email survey of service providers gathered descriptive data about mental health promotion and services provided for GLBTI people. Data obtained from interviews with key informants and online submissions completed by GLBTI individuals were analysed thematically. FINDINGS: Five organisations provide clear, specific and utilised services and programmes to some or all of the GLBTI populations. Twelve GLBTI-focused mental health promotion resources are identified. The analysis of data from key informants and GLBTI respondents identified factors affecting mental health for these populations occurring at three levels—macro-social environment, social acceptance and connection, and services and support. CONCLUSION: While GLBTI individuals have the same basic mental health promotion and service provision needs as members of the general population, they have additional unique issues. To enhance the mental health of GLBTI New Zealanders, a number of actions are recommended, including building sector capacity, allocating sufficient funding, ensuring adequate research and information is available, and reducing stigma, enhancing young people’s safety, and supporting practitioners through training and resources. An important role for government, alongside GLBTI input, for improving mental health is noted. KEYWORDS: General practice; mental health; sexuality; social discrimination

scholarly journals Coping strategies and distress reduction in psychological well-being? A structural equation modelling analysis using a national population sample

2015 ◽  
Vol 25 (4) ◽  
pp. 370-383 ◽  
Author(s):  
X. Meng ◽  
C. D'Arcy
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
General Population ◽  
Coping Strategies ◽  
Structural Equation ◽  
Well Being ◽  
Mental Health Promotion ◽  
Psychiatric Disease ◽  
Positive Coping ◽  
Negative Coping

Background.Little is understood about of the role of coping strategies in psychological well-being (PWB) and distress for the general population and different physical and psychiatric disease groups. A thorough examination of these relationships may provide evidence for the implementation of public mental health promotion and psychiatric disease prevention strategies aimed at improving the use of positive coping approaches or addressing the causes and maintainers of distress. The present study using a structural equation modelling (SEM) approach and nationally representative data on the Canadian population investigates the relationships among PWB, distress and coping strategies and identifies major factors related to PWB for both the general population and diverse-specific disease groups.Methods.Data examined were from the Canadian Community Health Survey of Mental Health and Well-being (CCHS 1.2), a large national survey (n = 36 984). We applied exploratory factor analysis (EFA), confirmatory factor analysis and SEM to build structural relationships among PWB, distress and coping strategies in the general population.Results.Both SEM measurement and structure models provided a good fit. Distress was positively related to negative coping and negatively related to positive coping. Positive coping indicated a higher level of PWB, whereas negative coping was associated with a lower level of PWB. PWB was negatively related to distress. These same relationships were also found in the population subgroups. For the population with diseases (both physical and psychiatric diseases, except agoraphobia), distress was the more important factor determining subjective PWB than the person's coping strategies, whereas, negative coping had a major impact on distress in the general population. Strengths and limitations were also discussed.Conclusions.Our findings have practical implications for public psychiatric disease intervention and mental health promotion. As previously noted positive/adaptive coping increased the level of PWB, whereas negative/maladaptive coping was positively related to distress and negatively related to PWB. Distress decreased the level of PWB. Our findings identified major correlates of PWB in both the general population and population subgroups. Our results provide evidence for the differential use of intervention tactics among different target audiences. In order to improve the mental health of the general population public mental health promotion should focus on strategies that reduce negative coping at a population level, whereas clinicians treating individual clients should make the reduction of distress their primary target to maintain or improve patients’ PWB.

scholarly journals Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review (Preprint)

2020 ◽  
Author(s):  
Christian Rauschenberg ◽  
Anita Schick ◽  
Dusan Hirjak ◽  
Andreas Seidler ◽  
Isabell Paetzold ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Cost Effectiveness ◽  
Mental Disorders ◽  
Public Mental Health ◽  
Mental Health Promotion ◽  
Inclusion Criteria ◽  
Digital Interventions ◽  
Meta Review ◽  
Meta Analyses

BACKGROUND Accumulating evidence suggests the COVID-19 pandemic has negative effects on public mental health. Digital interventions that have been developed and evaluated in recent years may be used to mitigate the negative consequences of the pandemic. However, evidence-based recommendations on the use of existing telemedicine and internet-based (eHealth) and app-based mobile health (mHealth) interventions are lacking. OBJECTIVE The aim of this study was to investigate the theoretical and empirical base, user perspective, safety, effectiveness, and cost-effectiveness of digital interventions related to public mental health provision (ie, mental health promotion, prevention, and treatment of mental disorders) that may help to reduce the consequences of the COVID-19 pandemic. METHODS A rapid meta-review was conducted. The MEDLINE, PsycINFO, and CENTRAL databases were searched on May 11, 2020. Study inclusion criteria were broad and considered systematic reviews and meta-analyses that investigated digital tools for health promotion, prevention, or treatment of mental health conditions and determinants likely affected by the COVID-19 pandemic. RESULTS Overall, 815 peer-reviewed systematic reviews and meta-analyses were identified, of which 83 met the inclusion criteria. Our findings suggest that there is good evidence on the usability, safety, acceptance/satisfaction, and effectiveness of eHealth interventions. Evidence on mHealth apps is promising, especially if social components (eg, blended care) and strategies to promote adherence are incorporated. Although most digital interventions focus on the prevention or treatment of mental disorders, there is some evidence on mental health promotion. However, evidence on process quality, cost-effectiveness, and long-term effects is very limited. CONCLUSIONS There is evidence that digital interventions are particularly suited to mitigating psychosocial consequences at the population level. In times of physical distancing, quarantine, and restrictions on social contacts, decision makers should develop digital strategies for continued mental health care and invest time and efforts in the development and implementation of mental health promotion and prevention programs.

scholarly journals The Influence of Three Modes of Human Support on Attrition and Adherence to a Web- and Mobile App–Based Mental Health Promotion Intervention in a Nonclinical Cohort: Randomized Comparative Study

10.2196/19945 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e19945
Author(s):  
Melanie Elise Renfrew ◽  
Darren Peter Morton ◽  
Jason Kyle Morton ◽  
Jason Scott Hinze ◽  
Geraldine Przybylko ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Life Satisfaction ◽  
Well Being ◽  
Mobile App ◽  
Mental Health Promotion ◽  
User Preferences ◽  
Group Differences ◽  
Health Promotion Intervention ◽  
Human Support

Background The escalating prevalence of mental health disorders necessitates a greater focus on web- and mobile app–based mental health promotion initiatives for nonclinical groups. However, knowledge is scant regarding the influence of human support on attrition and adherence and participant preferences for support in nonclinical settings. Objective This study aimed to compare the influence of 3 modes of human support on attrition and adherence to a digital mental health intervention for a nonclinical cohort. It evaluated user preferences for support and assessed whether adherence and outcomes were enhanced when participants received their preferred support mode. Methods Subjects participated in a 10-week digital mental health promotion intervention and were randomized into 3 comparative groups: standard group with automated emails (S), standard plus personalized SMS (S+pSMS), and standard plus weekly videoconferencing support (S+VCS). Adherence was measured by the number of video lessons viewed, points achieved for weekly experiential challenge activities, and the total number of weeks that participants recorded a score for challenges. In the postquestionnaire, participants ranked their preferred human support mode from 1 to 4 (S, S+pSMS, S+VCS, S+pSMS & VCS combined). Stratified analysis was conducted for those who received their first preference. Preintervention and postintervention questionnaires assessed well-being measures (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing). Results Interested individuals (N=605) enrolled on a website and were randomized into 3 groups (S, n=201; S+pSMS, n=202; S+VCS, n=201). Prior to completing the prequestionnaire, a total of 24.3% (147/605) dropped out. Dropout attrition between groups was significantly different (P=.009): 21.9% (44/201) withdrew from the S group, 19.3% (39/202) from the S+pSMS group, and 31.6% (64/202) from the S+VCS group. The remaining 75.7% (458/605) registered and completed the prequestionnaire (S, n=157; S+pSMS, n=163; S+VCS, n=138). Of the registered participants, 30.1% (138/458) failed to complete the postquestionnaire (S, n=54; S+pSMS, n=49; S+VCS, n=35), but there were no between-group differences (P=.24). For the 69.9% (320/458; S, n=103; S+pSMS, n=114; S+VCS, n=103) who completed the postquestionnaire, no between-group differences in adherence were observed for mean number of videos watched (P=.42); mean challenge scores recorded (P=.71); or the number of weeks that challenge scores were logged (P=.66). A total of 56 participants (17.5%, 56/320) received their first preference in human support (S, n=22; S+pSMS, n=26; S+VCS, n=8). No differences were observed between those who received their first preference and those who did not with regard to video adherence (P=.91); challenge score adherence (P=.27); or any of the well-being measures including, mental health (P=.86), vitality (P=.98), depression (P=.09), anxiety (P=.64), stress (P=.55), life satisfaction (P=.50), and flourishing (P=.47). Conclusions Early dropout attrition may have been influenced by dissatisfaction with the allocated support mode. Human support mode did not impact adherence to the intervention, and receiving the preferred support style did not result in greater adherence or better outcomes. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx

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