J P Klein1, C Knaevelsrud2, M Bohus3,4, D D Ebert5, G Gerlinger6, K Günther6, C Jacobi7, M Löbner8, S G Riedel-Heller8, J Sander6, U Sprick9, I Hauth10. 1. Klinik für Psychiatrie und Psychotherapie, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland. philipp.klein@uksh.de. 2. Institut für Klinisch-Psychologische Intervention, Freie Universität Berlin, Berlin, Deutschland. 3. Institut für Psychiatrische und Psychosomatische Psychotherapie, Zentralinstitut für Seelische Gesundheit Mannheim, Universität Heidelberg, Heidelberg, Deutschland. 4. Fakultät für Gesundheit, Universität Antwerpen, Antwerpen, Belgien. 5. Institut für Klinische Psychologie und Psychotherapie, Friedrich-Alexander Universität, Erlangen-Nürnberg, Deutschland. 6. Deutsche Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde, Berlin, Deutschland. 7. Institut für Klinische Psychologie und Psychotherapie, Technische Universität Dresden, Dresden, Deutschland. 8. Institut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Universität Leipzig, Leipzig, Deutschland. 9. St. Alexius/St. Josef Krankenhaus, Neuss, Medizinische Fakultät der Heinrich-Heine-Universität, Düsseldorf, Deutschland. 10. Zentrum für Neurologie, Psychiatrie, Psychotherapie, Alexianer St. Joseph Krankenhaus, Berlin, Deutschland.
Abstract
BACKGROUND: Internet-based self-management interventions are effective in the prevention and treatment of mental disorders; however, for those affected as well as treating clinicians and decision makers in the healthcare sector, it is difficult to identify safe and effective interventions. AIM: Development of quality criteria for self-management interventions. METHODS: Based on a non-specific assessment matrix, a task force from two scientific societies formulated specific quality criteria for self-management interventions for mental disorders. Patients and other relevant stakeholders were involved in the process. RESULTS: A total of 8 key criteria with 17 subordinate points were developed. These must be met for the certification of an intervention. The criteria focus on therapeutic quality requirements, patient safety, data protection and security as well as proof of efficacy in at least one randomized study. A further five criteria are only descriptive and are not required for certification. DISCUSSION: These quality criteria serve as a starting point for the establishment of a certification process. This could help to make internet-based self-management interventions for mental disorders part of routine care in the German healthcare system.
BACKGROUND: Internet-based self-management interventions are effective in the prevention and treatment of mental disorders; however, for those affected as well as treating clinicians and decision makers in the healthcare sector, it is difficult to identify safe and effective interventions. AIM: Development of quality criteria for self-management interventions. METHODS: Based on a non-specific assessment matrix, a task force from two scientific societies formulated specific quality criteria for self-management interventions for mental disorders. Patients and other relevant stakeholders were involved in the process. RESULTS: A total of 8 key criteria with 17 subordinate points were developed. These must be met for the certification of an intervention. The criteria focus on therapeutic quality requirements, patient safety, data protection and security as well as proof of efficacy in at least one randomized study. A further five criteria are only descriptive and are not required for certification. DISCUSSION: These quality criteria serve as a starting point for the establishment of a certification process. This could help to make internet-based self-management interventions for mental disorders part of routine care in the German healthcare system.
Authors: Johanna Schröder; Thomas Berger; Björn Meyer; Wolfgang Lutz; Christina Späth; Pia Michel; Matthias Rose; Martin Hautzinger; Fritz Hohagen; Jan Philipp Klein; Steffen Moritz Journal: Depress Anxiety Date: 2018-02-28 Impact factor: 6.505
Authors: Kristian Kidholm; Anne Granstrøm Ekeland; Lise Kvistgaard Jensen; Janne Rasmussen; Claus Duedal Pedersen; Alison Bowes; Signe Agnes Flottorp; Mickael Bech Journal: Int J Technol Assess Health Care Date: 2012-01 Impact factor: 2.188
Authors: J P Klein; G Gerlinger; C Knaevelsrud; M Bohus; E Meisenzahl; A Kersting; S Röhr; S G Riedel-Heller; U Sprick; J Dirmaier; M Härter; U Hegerl; F Hohagen; I Hauth Journal: Nervenarzt Date: 2016-11 Impact factor: 1.214
Authors: Eirini Karyotaki; Lise Kemmeren; Heleen Riper; Jos Twisk; Adriaan Hoogendoorn; Annet Kleiboer; Adriana Mira; Andrew Mackinnon; Björn Meyer; Cristina Botella; Elizabeth Littlewood; Gerhard Andersson; Helen Christensen; Jan P Klein; Johanna Schröder; Juana Bretón-López; Justine Scheider; Kathy Griffiths; Louise Farrer; Marcus J H Huibers; Rachel Phillips; Simon Gilbody; Steffen Moritz; Thomas Berger; Victor Pop; Viola Spek; Pim Cuijpers Journal: Psychol Med Date: 2018-03-15 Impact factor: 7.723
Authors: Karsten Hollmann; Katharina Allgaier; Carolin S Hohnecker; Heinrich Lautenbacher; Verena Bizu; Matthias Nickola; Gunilla Wewetzer; Christoph Wewetzer; Tord Ivarsson; Norbert Skokauskas; Lidewij H Wolters; Gudmundur Skarphedinsson; Bernhard Weidle; Else de Haan; Nor Christan Torp; Scott N Compton; Rosa Calvo; Sara Lera-Miguel; Anna Haigis; Tobias J Renner; Annette Conzelmann Journal: J Neural Transm (Vienna) Date: 2021-08-25 Impact factor: 3.575
Authors: Andrea E Zuelke; Melanie Luppa; Margrit Löbner; Alexander Pabst; Christine Schlapke; Janine Stein; Steffi G Riedel-Heller Journal: JMIR Ment Health Date: 2021-12-08