Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:617–27.
Article
Google Scholar
Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions’ of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602. https://doi.org/10.1001/archpsyc.62.6.593.
Article
PubMed
Google Scholar
Bromet E, Andrade LH, Hwang I, Sampson NA, Alonso J, de Girolamo G, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011;9:90. https://doi.org/10.1186/1741-7015-9-90.
Article
PubMed
PubMed Central
Google Scholar
Kessler RC, Merikangas KR, Wang PS. Prevalence, comorbidity, and service utilization for mood disorders in the United States at the beginning of the twenty-first century. Annu Rev Clin Psychol. 2007;3:137–58. https://doi.org/10.1146/annurev.clinpsy.3.022806.091444.
Article
PubMed
Google Scholar
Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJL, et al. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med. 2013;10:e1001547.
Article
Google Scholar
Greenberg PE, Fournier A-A, Sisitsky T, Pike CT, Kessler RC. The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J Clin Psychiatry. 2015;76:155–62. https://doi.org/10.4088/JCP.14m09298.
Article
PubMed
Google Scholar
Simkin S, Hawton K, Fagg J, Malmberg A. Stress in farmers: a survey of farmers in England and Wales. Occup Environ Med. 1998;55:729–34.
Article
CAS
Google Scholar
Onwuameze OE, Paradiso S, Peek-Asa C, Donham KJ, Rautiainen RH. Modifiable risk factors for depressed mood among farmers. Ann Clin Psychiatry. 2013;25:83–90.
PubMed
Google Scholar
Krawczyk N, Meyer A, Fonseca M, Lima J. Suicide mortality among agricultural Workers in a Region with Intensive Tobacco Farming and use of pesticides in Brazil. J Occup Environ Med. 2014;56:993–1000.
Article
CAS
Google Scholar
Stallones L, Beseler C. Pesticide Poisioning and depressive symptoms among farm residents. Ann Epidemiol. 2002;12:389–94.
Article
Google Scholar
Charlton J, Kelly S, Dunnell K, Evans B, Jenkins R. Suicide deaths in England and Wales: trends in factors associated with suicide deaths. Popul Trends. 1993;71:34–42.
Google Scholar
Hawton K, Fagg J, Simkin S, Harriss L, Malmberg A, Smith D. The geographical distribution of suicides in farmers in England and Wales. Soc Psychiatry Psychiatr Epidemiol. 1999;34:122–7.
Article
CAS
Google Scholar
Stallones L. Suicide mortality among Kentucky farmers, 1979-1985. Suicide Life-Threatening Behav. 1990;20:156–63. https://doi.org/10.1111/j.1943-278X.1990.tb00098.x.
Article
CAS
Google Scholar
McIntosh WL, Spies E, Stone DM, Lokey CN, Trudeau A-RT, Bartholow B. Suicide Rates by Occupational Group — 17 States, 2012. MMWR Morb Mortal Wkly Rep. 2016;65:641–5. https://doi.org/10.15585/mmwr.mm6525a1.
Article
PubMed
Google Scholar
Gunderson P, Donner D, Nashold R, Salkowicz L. The epidemiology of suicide among farm residents or workers in five north-central states, 1980-1988. Am J Prev Med. 1970;9:26–32.
Article
Google Scholar
Miller K, Burns C. Suicides on farms in South Australia, 1997-2001. Aust J Rural Health. 2008;16:327–31.
Article
Google Scholar
Page AN, Fragar LJ. Suicide in Australian farming, 1988-1997. Aust N Z J Psychiatry. 2002;36:81–5.
Article
Google Scholar
Cuijpers P, Koole SL, Van Dijke A, Roca M, Li J, Reynolds CF III. Psychotherapy for subclinical depression: meta-analysis. Br J Psychiatry. 2014;205:268–74. https://doi.org/10.1192/bjp.bp.113.138784.
Article
PubMed
PubMed Central
Google Scholar
van Zoonen K, Buntrock C, Ebert DD, Smit F, Reynolds CF, Beekman ATF, et al. Preventing the onset of major depressive disorder: a meta-analytic review of psychological interventions. Int J Epidemiol. 2014;43:318–29.
Article
Google Scholar
Bundespsychotherapeutenkammer. Ein Jahr nach der Reform der Psychotherapie-Richtlinie. Wartezeiten 2018. 2018. http://www.bptk.de/fileadmin/user_upload/Publikationen/BPtK-Studien/Wartezeiten_2018/20180411_bptk_studie_wartezeiten_2018.pdf.
Google Scholar
Spek V, Nyklíček I, Smits N, Cuijpers P, Riper H, Keyzer J, et al. Internet-based cognitive behavioural therapy for subthreshold depression in people over 50 years old: a randomized controlled clinical trial. Psychol Med. 2007;37:1797–806.
Article
Google Scholar
Imamura K, Kawakami N, Furukawa TA, Matsuyama Y, Shimazu A, Umanodan R, et al. Effects of an internet-based cognitive behavioral therapy (iCBT) program in manga format on improving subthreshold depressive symptoms among healthy workers: a randomized controlled trial. PLoS One. 2014;9:e97167.
Article
Google Scholar
Buntrock C, Ebert D, Lehr D, Riper H, Smit F, Cuijpers P, et al. Effectiveness of a web-based cognitive Behavioural intervention for subthreshold depression: pragmatic randomised controlled trial. Psychother Psychosom. 2015;84:348–58.
Article
Google Scholar
Buntrock C, Ebert DD, Lehr D, Smit F, Riper H, Berking M, et al. Effect of a web-based guided self-help intervention for prevention of major depression in adults with subthreshold depression: a randomized clinical trial. Jama. 2016;315:1854–63. https://doi.org/10.1001/jama.2016.4326.
Article
CAS
PubMed
Google Scholar
Ebert DD, Buntrock C, Lehr D, Smit F, Riper H, Baumeister H, et al. Effectiveness of web- and Mobile-based treatment of subthreshold depression with adherence-focused guidance: a single-blind randomized controlled trial. Behav Ther. 2018;49:71–83. https://doi.org/10.1016/j.beth.2017.05.004.
Article
PubMed
Google Scholar
Zhou T, Li X, Pei Y, Gao J, Kong J. Internet-based cognitive behavioural therapy for subthreshold depression: a systematic review and meta-analysis. BMC Psychiatry. 2016;16:356. https://doi.org/10.1186/s12888-016-1061-9.
Article
PubMed
PubMed Central
Google Scholar
Ebert DD, Cuijpers P, Muñoz RF, Baumeister H. Prevention of mental health disorders using internet- and Mobile-based interventions: a narrative review and recommendations for future research. Front Psychiatry. 2017;8:116.
Article
Google Scholar
Sander L, Rausch L, Baumeister H. Effectiveness of internet-based interventions for the prevention of mental disorders: a systematic review and meta-analysis. JMIR Ment Heal. 2016;3:e38.
Article
Google Scholar
Ebert DD, Van Daele T, Nordgreen T, Karekla M, Compare TA, Zarbo C, et al. Internet and mobile-based psychological interventions: applications, efficacy and potential for improving mental health. Eur Psychol. 2018;23:167–87.
Article
Google Scholar
Titov N, Dear BF, Staples LG, Terides MD, Karin E, Sheehan J, et al. Disorder-specific versus transdiagnostic and clinician-guided versus self-guided treatment for major depressive disorder and comorbid anxiety disorders: a randomized controlled trial. J Anxiety Disord. 2015;35:88–102. https://doi.org/10.1016/j.janxdis.2015.08.002.
Article
CAS
PubMed
Google Scholar
Titov N, Andrews G, Johnston L, Robinson E, Spence J. Transdiagnostic internet treatment for anxiety disorders: a randomized controlled trial. Behav Res Ther. 2010;48:890–9. https://doi.org/10.1016/j.brat.2010.05.014.
Article
PubMed
Google Scholar
Karyotaki E, Kleiboer A, Smit F, Turner DT, Pastor AM, Andersson G, et al. Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘ individual patient data ’ meta-analysis. Psychol Med. 2015;45:2717–26.
Article
CAS
Google Scholar
Melville KM, Casey LM, Kavanagh DJ. Dropout from internet-based treatment for psychological disorders. Br J Clin Psychol. 2010;49:455–71. https://doi.org/10.1348/014466509X472138.
Article
PubMed
Google Scholar
Alfonsson S, Johansson K, Uddling J, Hursti T. Differences in motivation and adherence to a prescribed assignment after face-to-face and online psychoeducation: an experimental study. BMC Psychol. 2017;5:3. https://doi.org/10.1186/s40359-017-0172-5.
Article
PubMed
PubMed Central
Google Scholar
Alfonsson S, Olsson E, Hursti T. Motivation and treatment credibility predicts dropout, treatment adherence, and clinical outcomes in an internet-based cognitive behavioral relaxation program: a randomized controlled trial. J Med Internet Res. 2016;18:e52.
Article
Google Scholar
Ebert DD, Berking M, Cuijpers P, Lehr D, Pörtner M, Baumeister H. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. J Affect Disord. 2015;176:9–17. https://doi.org/10.1016/j.jad.2015.01.056.
Article
CAS
PubMed
Google Scholar
Baumeister H, Seifferth H, Lin J, Nowoczin L, Lüking M, Ebert DD. Impact of an acceptance facilitating intervention on patients’ acceptance of internet-based pain interventions: a randomized controlled trial. Clin J Pain. 2015;31:528–35.
Article
Google Scholar
Baumeister H, Nowoczin L, Lin J, Seifferth H, Seufert J, Laubner K, et al. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of internet-based interventions for depression: a randomized controlled trial. Diabetes Res Clin Pract. 2014;105:30–9.
Article
CAS
Google Scholar
Lin J, Faust B, Ebert DD, Krämer L, Baumeister H. A web-based acceptance-facilitating intervention for identifying patients’ acceptance, uptake, and adherence of internet- and mobile-based pain interventions: randomized controlled trial. J Med Internet Res. 2018;20:e244.
Article
Google Scholar
Wrigley S, Jackson H, Judd F, Komiti A. Role of stigma and attitudes toward help-seeking from a general practitioner for mental health problems in a rural town. Aust N Z J Psychiatry. 2005;39:514–21.
Article
Google Scholar
Jones AR, Cook TM, Wang J. Rural-urban differences in stigma against depression and agreement with health professionals about treatment. J Affect Disord. 2011;134:145–50. https://doi.org/10.1016/j.jad.2011.05.013.
Article
PubMed
Google Scholar
Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c869.
Article
Google Scholar
Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c332.
Article
Google Scholar
Zwarenstein M, Treweek S, Gagnier JJ, Altman DG, Tunis S, Haynes B, et al. Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ. 2008;337:a2390.
Article
Google Scholar
Proudfoot J, Klein B, Barak A, Carlbring P, Cuijpers P, Lange A, et al. Establishing guidelines for executing and reporting internet intervention research. Cogn Behav Ther. 2011;40:82–97.
Article
Google Scholar
Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158:200–7. https://doi.org/10.7326/0003-4819-158-3-201302050-00583.
Article
PubMed
PubMed Central
Google Scholar
Chan A-W, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.
Article
Google Scholar
Nobis S, Lehr D, Ebert DD, Baumeister H, Snoek F, Riper H, et al. Efficacy of a web-based intervention with Mobile phone support in treating depressive symptoms in adults with type 1 and type 2 diabetes: a randomized controlled trial. Diabetes Care. 2015;38:776–83.
Article
Google Scholar
Ebert DD, Nobis S, Lehr D, Baumeister H, Riper H, Auerbach RP, et al. The 6-month effectiveness of internet-based guided self-help for depression in adults with type 1 and 2 diabetes mellitus. Diabet Med. 2017;34:99–107.
Article
CAS
Google Scholar
Ebert DD, Heber E, Berking M, Riper H, Cuijpers P, Funk B, et al. Self-guided internet-based and mobile-based stress management for employees: results of a randomised controlled trial. Occup Environ Med. 2016;73:315–23. https://doi.org/10.1136/oemed-2015-103269.
Article
PubMed
Google Scholar
Ebert DD, Berking M, Thiart H, Riper H, Laferton JAC, Cuijpers P, et al. Restoring depleted resources: efficacy and mechanisms of change of an internet-based unguided recovery training for better sleep and psychological detachment from work. Health Psychol. 2015;34:1240–51. https://doi.org/10.1037/hea0000277.
Article
Google Scholar
Boß L, Lehr D, Schaub MP, Castro RP, Riper H, Berking M, et al. Efficacy of a web-based intervention with and without guidance for employees with risky drinking: results of a three-arm randomized controlled trial. Addiction. 2018;113:635–46. https://doi.org/10.1111/add.14085.
Article
PubMed
Google Scholar
Heber E, Lehr D, Ebert DD, Berking M, Riper H. Web-based and Mobile stress management intervention for employees: a randomized controlled trial. J Med Internet Res. 2016;18:e21. https://doi.org/10.2196/jmir.5112.
Article
PubMed
PubMed Central
Google Scholar
Thiart H, Lehr D, Ebert DD, Berking M, Riper H. Log in and breathe out: internet-based recovery training for sleepless employees with work-related strain – results of a randomized controlled trial. Scand J Work Environ Health. 2015;41:164–74.
Article
Google Scholar
Ebert DD, Lehr D, Heber E, Riper H, Cuijpers P, Berking M. Internet- and mobile-based stress management for employees with adherence-focused guidance: efficacy and mechanism of change. Scand J Work Environ Health. 2016;42:382–94.
Article
Google Scholar
Buntrock C, Berking M, Smit F, Lehr D, Nobis S, Riper H, et al. Preventing depression in adults with subthreshold depression: health-economic evaluation alongside a pragmatic randomized controlled trial of a web-based intervention. J Med Internet Res. 2017;19:e5.
Article
Google Scholar
Nobis S, Ebert DD, Lehr D, Smit F, Buntrock C, Berking M, et al. Web-based intervention for depressive symptoms in adults with types 1 and 2 diabetes mellitus: a health economic evaluation. Br J Psychiatry. 2018;212:199–206.
Article
Google Scholar
Ebert DD, Kählke F, Buntrock C, Berking M, Smit F, Heber E, et al. A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees. Scand J Work Environ Health. 2018;44:171–82. https://doi.org/10.5271/sjweh.3691.
Article
PubMed
Google Scholar
Thiart H, Ebert DD, Lehr D, Nobis S, Buntrock C, Berking M, et al. Internet-based cognitive behavioral therapy for insomnia: a health economic evaluation. Sleep. 2016;39:1769–78. https://doi.org/10.5665/sleep.6152.
Article
PubMed
PubMed Central
Google Scholar
Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011;13:e30.
Article
Google Scholar
Lazarus RS, Folkman S. Transactional theory and research on emotions and coping. Eur J Pers. 1987;1:141–69.
Article
Google Scholar
Buntrock C, Ebert DD, Lehr D, Cuijpers P, Riper H, Smit F, et al. Evaluating the efficacy and cost-effectiveness of web-based indicated prevention of major depression: design of a randomised controlled trial. BMC Psychiatry. 2014;14:25. https://doi.org/10.1186/1471-244X-14-25.
Article
PubMed
PubMed Central
Google Scholar
Nobis S, Lehr D, Ebert DD, Berking M, Heber E, Baumeister H, et al. Efficacy and cost-effectiveness of a web-based intervention with mobile phone support to treat depressive symptoms in adults with diabetes mellitus type 1 and type 2: design of a randomised controlled trial. BMC Psychiatry. 2013;13:306. https://doi.org/10.1186/1471-244X-13-306.
Article
PubMed
PubMed Central
Google Scholar
Thiart H, Lehr D, Ebert DD, Sieland B, Berking M, Riper H. Log in and breathe out: efficacy and cost-effectiveness of an online sleep training for teachers affected by work-related strain - study protocol for a randomized controlled trial. Trials. 2013;14:169.
Article
Google Scholar
Ebert DD, Lehr D, Smit F, Zarski AC, Riper H, Heber E, et al. Efficacy and cost-effectiveness of minimal guided and unguided internet-based mobile supported stress-management in employees with occupational stress: a three-armed randomised controlled trial. BMC Public Health. 2014;14:807.
Article
Google Scholar
Ebenfeld L, Kleine Stegemann S, Lehr D, Ebert DD, Jazaieri H, van Ballegooijen W, et al. Efficacy of a hybrid online training for panic symptoms and agoraphobia: study protocol for a randomized controlled trial. Trials. 2014;15:427.
Article
Google Scholar
Schaub MP, Blankers M, Lehr D, Boss L, Riper H, Dekker J, et al. Efficacy of an internet-based self-help intervention to reduce co-occurring alcohol misuse and depression symptoms in adults: study protocol of a three-arm randomised controlled trial. BMJ Open. 2016;6:e011457.
Article
Google Scholar
Bouwmans C, De Jong K, Timman R, Zijlstra-Vlasveld M, Van der Feltz-Cornelis C, Tan SS, et al. Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P). BMC Health Serv Res. 2013;13:217. https://doi.org/10.1186/1472-6963-13-217.
Article
PubMed
PubMed Central
Google Scholar
Richards D, Richardson T. Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clin Psychol Rev. 2012;32:329–42.
Article
Google Scholar
Löwe B, Kroenke K, Herzog W, Gräfe K. Measuring depression outcome with a brief self-report instrument: sensitivity to change of the patient health questionnaire (PHQ-9). J Affect Disord. 2004;81:61–6.
Article
Google Scholar
Erbe D, Eichert HC, Rietz C, Ebert DD. Interformat reliability of the patient health questionnaire: validation of the computerized version of the PHQ-9. Internet Interv. 2016;5:1–4. https://doi.org/10.1016/j.invent.2016.06.006.
Article
PubMed
PubMed Central
Google Scholar
Kühner C, Bürger C, Keller F, Hautzinger M. Reliabilität und Validität des revidierten Beck- Depressionsinventars (BDI-II). Befunde aus deutschsprachigen Stichproben. Nervenarzt. 2007;78:651–6.
Article
Google Scholar
Von Korff M, Ormel J, Keefe FJ, Dworkin SF. Grading the severity of chronic pain. Pain. 1992;50:133–49. https://doi.org/10.1016/0304-3959(92)90154-4.
Article
Google Scholar
Klasen BW, Hallner D, Schaub C, Willburger R, Hasenbring M. Validation and reliability of the German version of the Chronic Pain Grade questionnaire in primary care back pain patients. Psycho-Social-Medicine. 2004;1:Doc07.
PubMed
PubMed Central
Google Scholar
Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, et al. The 16-item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry. 2003;54:573–83. https://doi.org/10.1016/S0006-3223(03)01866-8.
Article
PubMed
Google Scholar
Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991;59:12–9.
Article
CAS
Google Scholar
Lamoureux BE, Linardatos E, Fresco DM, Bartko D, Logue E, Milo L. Using the QIDS-SR16 to identify major depressive disorder in primary care medical patients. Behav Ther. 2010;41:423–31. https://doi.org/10.1016/j.beth.2009.12.002.
Article
PubMed
Google Scholar
Kessler RC, Üstün TB. The world mental health (WMH) survey initiative version of the World Health Organization (WHO) composite international diagnostic interview (CIDI). Int J Methods Psychiatr Res. 2004;13:93–121. https://doi.org/10.1097/00004583-200001000-00016.
Article
PubMed
Google Scholar
Kessler RC, Farley PA, Gruber M, Harshaw Q, Jewell MA, Sampson N, et al. PMH72 concordance of computerized self-report measures of DSM-IV-TR, Mood and Anxiety Disorders Compared To Gold Standard Clinical Assessments in Primay Care. Value Heal. 2010;13:A118. https://doi.org/10.1016/S1098-3015(10)72567-5.
Article
Google Scholar
Auerbach RP, Mortier P, Bruffaerts R, Alonso J, Benjet C, Cuijpers P, et al. WHO world mental health surveys international college student project: prevalence and distribution of mental disorders. J Abnorm Psychol. 2018;127:623–38.
Article
Google Scholar
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96. https://doi.org/10.2307/2136404.
Article
CAS
PubMed
Google Scholar
Cohen S, Willliamson GM. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The social psychology of health. Newbury Park: Sage; 1988. p. 31–67.
Google Scholar
Cohen S, Janicki-Deverts D. Who’s stressed? Distributions of psychological stress in the United States in probability samples from 1983, 2006, and 2009. J Appl Soc Psychol. 2012;42:1320–34.
Article
Google Scholar
Klein EM, Brähler E, Dreier M, Reinecke L, Müller KW, Schmutzer G, et al. The German version of the perceived stress scale – psychometric characteristics in a representative German community sample. BMC Psychiatry. 2016;16:159. https://doi.org/10.1186/s12888-016-0875-9.
Article
PubMed
PubMed Central
Google Scholar
Bastien CH, Vallières A, Morin CM. Validation of the insomnia severity index as an outcome measure for insomnia research. Sleep Med. 2001;2:297–307.
Article
Google Scholar
Morin CM, Belleville G, Bélanger L, Ivers H. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34:601–8. https://doi.org/10.1093/sleep/34.5.601.
Article
PubMed
PubMed Central
Google Scholar
Gagnon C, Belanger L, Ivers H, Morin CM. Validation of the insomnia severity index in primary care. J Am Board Fam Med. 2013;26:701–10. https://doi.org/10.3122/jabfm.2013.06.130064.
Article
PubMed
Google Scholar
Gerber M, Lang C, Lemola S, Colledge F, Kalak N, Holsboer-Trachsler E, et al. Validation of the German version of the insomnia severity index in adolescents, young adults and adult workers: results from three cross-sectional studies. BMC Psychiatry. 2016;16:174. https://doi.org/10.1186/s12888-016-0876-8.
Article
PubMed
PubMed Central
Google Scholar
Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092–7. https://doi.org/10.1001/archinte.166.10.1092.
Article
PubMed
Google Scholar
Löwe B, Decker O, Müller S, Brähler E, Schellberg D, Herzog W, et al. Validation and standardization of the generalized anxiety disorder screener (GAD-7) in the general population. Med Care. 2008;46:266–74.
Article
Google Scholar
Bandelow B. Assessing the efficacy of treatments for panic disorder and agoraphobia. II. The panic and agoraphobia scale. Int Clin Psychopharmacol. 1995;10:73–81.
Article
CAS
Google Scholar
Bandelow B, Hajak G, Holzrichter S, Kunert HJ, Rüther E. Assessing the efficacy of treatments for panic disorder and agoraphobia. I. Methodological problems. Int Clin Psychopharmacol. 1995;10:83–93.
Article
CAS
Google Scholar
Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005;113:9–19.
Article
Google Scholar
Dworkin RH, Turk DC, Wyrwich KW, Beaton D, Cleeland CS, Farrar JT, et al. Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. J Pain. 2008;9:105–21.
Article
Google Scholar
Kerns RD, Turk DC, Rudy TE. The west haven-Yale multidimensional pain inventory (WHYMPI). Pain. 1985;23:345–56.
Article
CAS
Google Scholar
Flor H, Rudy TE, Birbaumer N, Streit B, Schugens MM. Zur Anwendbarkeit des west haven-Yale multidimensional pain inventory im deutschen Sprachraum - Daten zur Reliabilität und Validität des MPI-D. Schmerz. 1990;4:82–7.
Article
CAS
Google Scholar
Babor T, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT: the alcohol use disorders identification test: guidelines for use in primary care. 2nd ed. Geneva: World Health Organization; 2001.
Google Scholar
Saunders JB, Aasland OG, Amundsen A, Grant M. Alcohol consumption and related problems among primary health care patients: WHO collaborative project on early detection of persons with harmful alcohol consumption - I. Addiction. 1993;88:349–62.
Article
CAS
Google Scholar
Saunders JB, Aasland OG, Babor TF, Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption - II. Addiction. 1993;88:791–804. https://doi.org/10.1111/j.1360-0443.1993.tb02093.x.
Article
CAS
PubMed
Google Scholar
Fleming MF, Barry KL, MacDonald R. The alcohol use disorders identification test (AUDIT) in a college sample. Int J Addict. 1991;26:1173–85. https://doi.org/10.3109/10826089109062153.
Article
CAS
PubMed
Google Scholar
Hays RD, Merz JF, Nicholas R. Response burden, reliability, and validity of the CAGE, short MAST, and AUDIT alcohol screening measures. Behav Res Methods, Instruments, Comput. 1995;27:277–80.
Article
Google Scholar
Dybek I, Bischof G, Grothues J, Reinhardt S, Meyer C, Hapke U, et al. The Reliability and Validity of the Alcohol Use Disorders Identification Test (AUDIT) in a German General Practice Population Sample. J Stud Alcohol. 2006;67:473–81. https://doi.org/10.15288/jsa.2006.67.473.
Article
PubMed
Google Scholar
Maslach C, Jackson SE, Leiter MP. Maslach Burnout Inventory. In: Zalaquett CP, Wood RJ, editors. Evaluating Stress: A Book of Resources. 3rd ed. Lanham: The Scarecrow Press; 1997. p. 191–218.
Cillien P, Fischbach A, Mörsdorf A, Scherp E, Schaufeli WB. Maslach Burnout Inventory-General Survey Deutsche Version 1.0 (MBI-GS-D V1.0.); 2006.
Google Scholar
Richardson J, Iezzi A, Khan MA, Maxwell A. Validity and reliability of the assessment of quality of life (AQoL)-8D multi-attribute utility instrument. Patient. 2014;7:85–96. https://doi.org/10.1007/s40271-013-0036-x.
Article
PubMed
Google Scholar
Mittag O, Raspe H. Eine kurze Skala zur Messung der subjektiven Prognose der Erwerbstätigkeit: Ergebnisse einer Untersuchung an 4279 Mitgliedern der gesetzlichen Arbeiterrentenversicherung zu Reliabilität (Guttman-Skalierung) und Validität der Skala. Rehabilitation. 2003;42:169–74. https://doi.org/10.1055/s-2003-40095.
Article
CAS
PubMed
Google Scholar
Drummond MF, Sculpher MJ, Torrance GW, O’Brien BJO, Stoddart GL. Methods for the economic evaluation of health care Programmes. 3rd ed. Oxford: Oxford University Press; 2005.
Google Scholar
Bock JO, Brettschneider C, Seidl H, Bowles D, Holle R, Greiner W, et al. Ermittlung standardisierter Bewertungssätze aus gesellschaftlicher Perspektive für die gesundheitsökonomische evaluation. Gesundheitswesen. 2015;77:53–61.
PubMed
Google Scholar
Wilmers F, Munder T, Leonhart R, Herzog T, Plassmann R, Barth J, et al. Die deutschsprachige version des working Alliance inventory – short revised (WAI-SR) – Ein schulenübergreifendes, ökonomisches und empirisch validiertes instrument zur Erfassung der therapeutischen Allianz. Klin Diagnostik und Eval. 2008;1:343–58.
Google Scholar
Munder T, Wilmers F, Leonhart R, Linster HW, Barth J. Working Alliance inventory-short revised (WAI-SR): psychometric properties in outpatients and inpatients. Clin Psychol Psychother. 2010;17:231–9. https://doi.org/10.1002/cpp.658.
Article
PubMed
Google Scholar
Attkisson CC, Zwick R. The Client Satisfaction Questionnaire. Eval Program Plann. 1982;5:233–7.
Article
CAS
Google Scholar
Schmidt J, Lamprecht F, Wittmann W. Satisfaction with inpatient management. Development of a questionnaire and initial validity studies. Psychother Psychosom Med Psychol. 1989;39:248–55.
CAS
PubMed
Google Scholar
Boß L, Lehr D, Reis D, Vis C, Riper H, Berking M, et al. Reliability and validity of assessing user satisfaction with web-based health interventions. J Med Internet Res. 2016;18:e234.
Article
Google Scholar
Ladwig I, Rief W, Nestoriuc Y. What are the risks and side effects of psychotherapy? – development of an inventory for the assessment of negative effects of psychotherapy (INEP). Verhaltenstherapie. 2014;24:252–64. https://doi.org/10.1159/000367928.
Article
Google Scholar
Sander L, Paganini S, Lin J, Schlicker S, Ebert DD, Buntrock C, et al. Effectiveness and cost-effectiveness of a guided internet- and mobile-based intervention for the indicated prevention of major depression in patients with chronic back pain – study protocol of the PROD-BP multicenter pragmatic RCT. BMC Psychiatry. 2017;17:36.
Article
CAS
Google Scholar
Lin J, Lüking M, Ebert DD, Buhrman M, Andersson G, Baumeister H. Effectiveness and cost-effectiveness of a guided and unguided internet-based acceptance and commitment therapy for chronic pain: study protocol for a three-armed randomised controlled trial. Internet Interv. 2015;2:7–16. https://doi.org/10.1016/j.invent.2014.11.005.
Article
Google Scholar
Buuren SV, Groothuis-Oudshoorn K. mice: Multivariate Imputation by Chained Equations in R. J Stat Softw. 2011;45. https://doi.org/10.18637/jss.v045.i03.
Singal AG, Higgins PDR, Waljee AK. A primer on effectiveness and efficacy trials. Clin Transl Gastroenterol. 2014;5:e45. https://doi.org/10.1038/ctg.2013.13.
Article
CAS
PubMed
PubMed Central
Google Scholar
Goldfried MR, Wolfe BE. Toward a more clinically valid approach to therapy research. J Consult Clin Psychol. 1998;66:143–50.
Article
CAS
Google Scholar
Bair MJ, Robinson RL, Katon W, Kroenke K. Depression and pain comorbidity. Arch Intern Med. 2003;163:2433–45.
Article
Google Scholar