期刊论文详细信息
BMC Psychiatry
Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial
Dusan Hadzi-Pavlovic1  Helen Christensen2  Virginia Harrison1  Vijaya Manicavasagar1  Gordon Parker1  Alexis E Whitton2  Mary-Rose Birch2  Judith Proudfoot1  Janine Clarke1 
[1] School of Psychiatry, UNSW Australia, High Street, Kensington 2052, NSW, Australia;Black Dog Institute, Hospital Road, Randwick 2013, NSW, Australia
关键词: Work functioning;    Intervention studies;    Mobile health;    Self-efficacy;    Psychological stress;    Anxiety;    Depression;    eHealth;   
Others  :  1123319
DOI  :  10.1186/s12888-014-0272-1
 received in 2014-03-20, accepted in 2014-09-16,  发布年份 2014
PDF
【 摘 要 】

Background

Online psychotherapy is clinically effective yet why, how, and for whom the effects are greatest remain largely unknown. In the present study, we examined whether mental health self-efficacy (MHSE), a construct derived from Bandura’s Social Learning Theory (SLT), influenced symptom and functional outcomes of a new mobile phone and web-based psychotherapy intervention for people with mild-to-moderate depression, anxiety and stress.

Methods

STUDY I: Data from 49 people with symptoms of depression, anxiety and/or stress in the mild-to-moderate range were used to examine the reliability and construct validity of a new measure of MHSE, the Mental Health Self-efficacy Scale (MHSES). STUDY II: We conducted a secondary analysis of data from a recently completed randomised controlled trial (N = 720) to evaluate whether MHSE effected post-intervention outcomes, as measured by the Depression, Anxiety and Stress Scales (DASS) and Work and Social Adjustment Scale (WSAS), for people with symptoms in the mild-to-moderate range.

Results

STUDY I: The data established that the MHSES comprised a unitary factor, with acceptable internal reliability (Cronbach’s alpha = .89) and construct validity. STUDY II: The intervention group showed significantly greater improvement in MHSE at post-intervention relative to the control conditions (p’s < = .000). MHSE mediated the effects of the intervention on anxiety and stress symptoms. Furthermore, people with low pre-treatment MHSE reported the greatest post-intervention gains in depression, anxiety and overall distress. No effects were found for MHSE on work and social functioning.

Conclusion

Mental health self-efficacy influences symptom outcomes of a self-guided mobile phone and web-based psychotherapeutic intervention and may itself be a worthwhile target to increase the effectiveness and efficiency of online treatment programs.

Trial registration

Australian New Zealand Clinical Trials Registry ACTRN12610000625077 webcite.

【 授权许可】

   
2014 Clarke et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150216030635506.pdf 338KB PDF download
Figure 1. 29KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Griffiths KM, Christensen H: Internet-based mental health programs: a powerful tool in the rural medical kit. Aust J Rural Health 2007, 15(2):81-87.
  • [2]Andrews G, Cuijpers P, Craske MG, McEvoy P, Titov N: Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: a meta-analysis. PLoS ONE 2010, 5:e13196.
  • [3]Barak A, Hen L, Boniel-Nissim M, Shapira N: A comprehensive review and a meta-analysis of the effectiveness of internet-based psychotherapeutic interventions. J Tech Human Services 2008, 26(2–4):109-160.
  • [4]Warmerdam L, van Straten A, Jongsma J, Twisk J, Cuijpers P: Online cognitive behavioral therapy and problem-solving therapy for depressive symptoms: exploring mechanisms of change. J Behav Ther Exp Psy 2010, 41(1):64-70.
  • [5]Meyer B, Berger T, Caspar F, Beevers CG, Andersson G, Weiss M: Effectiveness of a novel integrative online treatment for depression (Deprexis): randomized controlled trial. J Med Internet Res 2009, 11(2):e15.
  • [6]Cuijpers P, Donker T, Van Straten A, Li J, Andersson G: Is guided self-help as effective as face-to-face psychotherapy for depression and anxiety disorders? A systematic review and meta-analysis of comparative outcome studies. Psychol Med 2010, 40(12):1943.
  • [7]Christensen H, Griffiths KM, Farrer L: Adherence in Internet interventions for anxiety and depression: systematic review. J Med Internet Res 2009, 11(2):e13.
  • [8]Donkin L, Christensen H, Naismith SL, Neal B, Hickie IB, Glozier N: A systematic review of the impact of adherence on the effectiveness of e-therapies. J Med Internet Res 2011, 13(3):e52.
  • [9]Bandura A: Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev 1977, 84(2):191.
  • [10]Mohebi S, Azadbakht L, Feizi A, Sharifirad G, Kargar M: Review the key role of self-efficacy in diabetes care. J Educ Health Promot 2013, 2:36.
  • [11]Clark MM, Abrams DB, Niaura RS, Eaton CA, Rossi JS: Self-efficacy in weight management. J Consul Clin Psych 1991, 59(5):739.
  • [12]Delahanty LM, Conroy MB, Nathan DM: Psychological predictors of physical activity in the diabetes prevention program. J Am Diet Assoc 2006, 106(5):698-705.
  • [13]Wamsteker EW, Geenen R, Iestra J, Larsen JK, Zelissen PM, van Staveren WA: Obesity-related beliefs predict weight loss after an 8-week low-calorie diet. J Am Diet Assoc 2005, 105(3):441-444.
  • [14]Baldwin AS, Rothman AJ, Hertel AW, Linde JA, Jeffery RW, Finch EA, Lando H: Specifying the determinants of the initiation and maintenance of behavior change: an examination of self-efficacy, satisfaction, and smoking cessation. Health Psychol 2006, 25(5):626.
  • [15]Bandura A: The explanatory and predictive scope of self-efficacy theory. J Soc Clin Psych 1986, 4(3):359-373.
  • [16]Pisanti R: Coping self-efficacy and psychological distress: results from an Italian study on nurses. Eur Health Psychol 2012, 14(1):11-14.
  • [17]Driessen E, Hollon SD: Cognitive behavioral therapy for mood disorders: efficacy, moderators and mediators. Psychiat Clin N Am 2010, 33(3):537.
  • [18]Garratt G, Ingram RE: Cognitive processes in cognitive therapy: evaluation of the mechanisms of change in the treatment of depression. Clin Psychol Sci Prac 2007, 14:224-239.
  • [19]Bandura A, Caprara GV, Barbaranelli C, Gerbino M, Pastorelli C: Role of affective self-regulatory efficacy in diverse spheres of psychosocial functioning. Child Dev 2003, 74(3):769-782.
  • [20]Kraemer HC, Wilson GT, Fairburn CG, Agras WS: Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiat 2002, 59(10):877.
  • [21]Proudfoot J, Clarke J, Birch M-R, Whitton A, Parker G, Manicavasagar V, Harrison V, Christensen H, Hadzi-Pavlovic D: Impact of a mobile phone and web psychological program on symptom and functional outcomes for people with mild- to- moderate depression, anxiety, stress: a randomised controlled trial. BMC Psychiatry 2013, 13:312. BioMed Central Full Text
  • [22]Bandura A: Guide for constructing self-efficacy scales. Self-efficacy Beliefs Adolescents 2006, 5:307-337.
  • [23]Carpinello SE, Knight EL, Markowitz FE, Pease EA: The development of the mental health confidence scale: a measure of self-efficacy in individuals diagnosed with mental health disorders. Psychiat Rehab J 2000, 23(3):236-243.
  • [24]Mojtabai R, Olfson M, Sampson N, Jin R, Druss B, Wang P, Wells K, Pincus H, Kessler R: Barriers to mental health treatment: results from the national comorbidity survey replication. Psych Med 2011, 41(8):1751-1761.
  • [25]Harrison V, Proudfoot J, Wee PP, Parker G, Pavlovic DH, Manicavasagar V: Mobile mental health: review of the emerging field and proof of concept study. J Men Health 2011, 20(6):509-524.
  • [26]Lovibond PF, Lovibond SH: The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the beck depression and anxiety inventories. Behav Res Ther 1995, 33(3):335-343.
  • [27]Zlomke KR: Psychometric properties of internet administered versions of Penn state worry Questionnaire (PSWQ) and depression, anxiety, and stress scale (DASS). Comput Hum Behav 2009, 25(4):841-843.
  • [28]Mundt JC, Marks IM, Shear MK, Greist JH: The work and social adjustment scale: a simple measure of impairment in functioning. Br J Psychiat 2002, 180(MAY):461-464.
  • [29]Gosling SD, Rentfrow PJ, Swann WB Jr: A very brief measure of the big-five personality domains. J Res Pers 2003, 37(6):504-528.
  • [30]Costello A, Osborne J: Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval 2005, 10:7. pareonline net/getvn, asp
  • [31]Baron RM, Kenny D: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 1986, 51(6):1173.
  • [32]Preacher KJ, Hayes AF: SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Meth Ins C 2004, 36(4):717-731.
  • [33]Rucker DD, Preacher KJ, Tormala ZL, Petty RE: Mediation analysis in social psychology: current practices and new recommendations. Soc Pers Psych Compass 2011, 5(6):359-371.
  • [34]West BT: Analyzing longitudinal data with the linear mixed models procedure in SPSS. Eval Health Prof 2009, 32(3):207-228.
  • [35]Fairclough DL: Design and Analysis of Quality of Life Studies in Clinical Trials. CRC press, Florida; 2010.
  • [36]Sobel ME: Asymptotic confidence intervals for indirect effects in structural equation models. Sociol Methodol 1982, 13:290-312.
  • [37]Teixeira PJ, Silva MN, Coutinho SR, Palmeira AL, Mata J, Vieira PN, Caracca EV, Santos T, Sardinha LB: Mediators of weight loss and weight loss maintenance in middle-aged women. Obesity 2009, 18(4):725-735.
  • [38]van der Gaag M, van Oosterhout B, Daalman K, Sommer IE, Korrelboom K: Initial evaluation of the effects of competitive memory training (COMET) on depression in schizophrenia-spectrum patients with persistent auditory verbal hallucinations: a randomized controlled trial. Br J Clin Psychol 2012, 51(2):158-171.
  • [39]Tabachnick BG, Fidell LS: Computer-assisted Research Design and Analysis. Allyn and Bacon, Boston; 2001.
  • [40]Nunnally J: Psychometric Methods. McGraw-Hill, New York; 1978.
  • [41]Hu L, Bentler PM: Evaluating Model Fit. In Structural Equation Modelling: Concepts, Issues and Applications. Edited by Hoyle RH. Sage, Thousand Oaks, CA; 1995:76-99.
  • [42]Hu L, Bentler PM: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling 1999, 6(1):1-55.
  • [43]Hooper D, Coughlan J, Mullen MR: Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 2008, 6(1):53-60.
  • [44]Gist ME, Stevens CK, Bavetta AG: Effects of self-efficacy and post-training intervention on the acquisition and maintenance of complex interpersonal skills. Pers Psychol 1991, 44(4):837-861.
  • [45]Anderson ES, Winett RA, Wojcik JR, Williams DM: Social cognitive mediators of change in a group randomized nutrition and physical activity intervention social support, self-efficacy, outcome expectations and self-regulation in the guide-to-health trial. J Health Psychol 2010, 15(1):21-32.
  • [46]Marks R, Allegrante JP: A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: implications for health education practice (part II). Health Promot Prac 2005, 6(2):148-156.
  • [47]Ormel J, Koeter MW, Van den Brink W, Van de Willige G: Recognition, management, and course of anxiety and depression in general practice. Arch Gen Psychiat 1991, 48(8):700.
  • [48]Druss BG: Improving medical care for persons with serious mental illness: challenges and solutions. J Clin Psychiatry 2007, 68(41):40-44.
  文献评价指标  
  下载次数:28次 浏览次数:42次