A web-based mental health promotion intervention for pharmacy staff to reduce stigmatising and discriminating attitudes

2018 ◽  
Vol 29 (3) ◽  
pp. 328-336 ◽  
Author(s):  
Amanda J. Wheeler ◽  
Amary Mey ◽  
Jane L. Fowler ◽  
Gabor Mihala ◽  
Fiona Kelly
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Mental Health Promotion ◽  
Health Promotion Intervention ◽  
Pharmacy Staff ◽  
Web Based

scholarly journals Reducing depression in older home care clients: design of a prospective study of a nurse-led interprofessional mental health promotion intervention

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Maureen F Markle-Reid ◽  
Carrie McAiney ◽  
Dorothy Forbes ◽  
Lehana Thabane ◽  
Maggie Gibson ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Home Care ◽  
Prospective Study ◽  
Mental Health Promotion ◽  
Health Promotion Intervention ◽  
A Prospective Study

scholarly journals Process evaluation of a community-based mental health promotion intervention for refugee children

2011 ◽  
Vol 27 (4) ◽  
pp. 595-607 ◽  
Author(s):  
R. T. Nakkash ◽  
H. Alaouie ◽  
P. Haddad ◽  
T. El Hajj ◽  
H. Salem ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Process Evaluation ◽  
Mental Health Promotion ◽  
Refugee Children ◽  
Health Promotion Intervention ◽  
Community Based

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

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 (Preprint)

2020 ◽  
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 &amp; 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 (<i>P</i>=.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 (<i>P</i>=.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 (<i>P</i>=.42); mean challenge scores recorded (<i>P</i>=.71); or the number of weeks that challenge scores were logged (<i>P</i>=.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 (<i>P</i>=.91); challenge score adherence (<i>P</i>=.27); or any of the well-being measures including, mental health (<i>P</i>=.86), vitality (<i>P</i>=.98), depression (<i>P</i>=.09), anxiety (<i>P</i>=.64), stress (<i>P</i>=.55), life satisfaction (<i>P</i>=.50), and flourishing (<i>P</i>=.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. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx

scholarly journals An interprofessional nurse-led mental health promotion intervention for older home care clients with depressive symptoms

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Maureen Markle-Reid ◽  
Carrie McAiney ◽  
Dorothy Forbes ◽  
Lehana Thabane ◽  
Maggie Gibson ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Depressive Symptoms ◽  
Home Care ◽  
Mental Health Promotion ◽  
Health Promotion Intervention

Looking for the ‘active ingredients’ in a men’s mental health promotion intervention

2018 ◽  
Vol 17 (2) ◽  
pp. 135-145 ◽  
Author(s):  
Jane Pirkis ◽  
Marisa Schlichthorst ◽  
Kylie King ◽  
Anne Lockley ◽  
Louise Keogh ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Mental Health Promotion ◽  
Health Promotion Intervention ◽  
Active Ingredients

scholarly journals A Web- and Mobile App–Based Mental Health Promotion Intervention Comparing Email, Short Message Service, and Videoconferencing Support for a Healthy Cohort: Randomized Comparative Study

10.2196/15592 ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. e15592 ◽  
Author(s):  
Melanie Elise Renfrew ◽  
Darren Peter Morton ◽  
Jason Kyle Morton ◽  
Jason Scott Hinze ◽  
Peter James Beamish ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Life Satisfaction ◽  
Well Being ◽  
Mobile App ◽  
Mental Health Promotion ◽  
Health Promotion Intervention ◽  
Healthy Cohort ◽  
Mental Well Being ◽  
Human Support

Background The rapid increase in mental health disorders has prompted a call for greater focus on mental health promotion and primary prevention. Web- and mobile app–based interventions present a scalable opportunity. Little is known about the influence of human support on the outcomes of these interventions. Objective This study aimed to compare the influence of 3 modes of human support on the outcomes (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing) of a 10-week, Web- and mobile app–based, lifestyle-focused mental health promotion intervention among a healthy adult cohort. Methods Participants were recruited voluntarily using a combination of online and offline advertising. They were randomized, unblinded into 3 groups differentiated by human support mode: Group 1 (n=201): standard—fully automated emails (S); Group 2 (n=202): standard plus personalized SMS (S+pSMS); and Group 3 (n=202): standard plus weekly videoconferencing support (S+VCS), hosted by 1 trained facilitator. Participants accessed the intervention, including the questionnaire, on a Web-based learning management system or through a mobile app. The questionnaire, administered at pre- and postintervention, contained self-reported measures of mental well-being, including the “mental health” and “vitality” subscales from the Short Form Health Survey-36, Depression Anxiety and Stress Scale-21, Diener Satisfaction With Life Scale (SWLS), and Diener Flourishing Scale. Results Of 605 potential participants, 458 (S: n=157, S+pSMS: n=163, and S+VCS: n=138) entered the study by completing registration and the preintervention questionnaire. At post intervention, 320 out of 458 participants (69.9%; S: n=103, S+pSMS: n=114, and S+VCS: n=103) completed the questionnaire. Significant within-group improvements were recorded from pre- to postintervention in all groups and in every outcome measure (P≤.001). No significant between-group differences were observed for outcomes in any measure: mental health (P=.77), vitality (P=.65), depression (P=.93), anxiety (P=.25), stress (P.57), SWLS (P=.65), and Flourishing Scale (P=.99). Adherence was not significantly different between groups for mean videos watched (P=.42) and practical activity engagement (P=.71). Participation in videoconference support sessions (VCSSs) was low; 37 out of 103 (35.9%) participants did not attend any VCSSs, and only 19 out of 103 (18.4%) attended 7 or more out of 10 sessions. Stratification within the S+VCS group revealed that those who attended 7 or more VCSSs experienced significantly greater improvements in the domains of mental health (P=.006; d=0.71), vitality (P=.005; d=0.73), depression (P=.04; d=0.54), and life satisfaction (P=.046; d=0.50) compared with participants who attended less than 7. Conclusions A Web- and mobile app–based mental health promotion intervention enhanced domains of mental well-being among a healthy cohort, irrespective of human support. Low attendance at VCSSs hindered the ability to make meaningful between-group comparisons. Supplementing the intervention with VCSSs might improve outcomes when attendance is optimized. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx

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