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Schulte C, Sextl-Plötz T, Baumeister H, Titzler I, Sander LB, Sachser C, Steubl L, Zarski AC. What to do when the unwanted happens? Negative event management in studies on internet- and mobile-based interventions for youths and adults with two case reports. Internet Interv 2024; 35:100710. [PMID: 38283258 PMCID: PMC10818076 DOI: 10.1016/j.invent.2024.100710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 01/30/2024] Open
Abstract
Background Despite severely burdened individuals, often being excluded from research studies on internet- and mobile-based interventions (IMIs), negative events (NEs) including suicidal thoughts and behaviors (STBs) can still occur during a trial. NEs require monitoring and adequate safety measures. However, study protocols frequently lack comprehensive descriptions of procedures for managing NEs. Aims This study aimed to illustrate the assessment, monitoring, and procedures for addressing NEs in two studies on IMIs in adults and youth using case reports, to identify strengths and weaknesses of the NE management approaches, and to derive key learnings and recommendations. Methods Two case reports were drawn from two distinct IMI studies. The first study, PSYCHOnlineTHERAPY, evaluates the combination of an IMI with on-site psychotherapy for anxiety and depressive disorders in adults (adult blended study). The second study evaluates a standalone, therapist-guided IMI for post-traumatic stress disorder (PTSD) in youth (youth standalone study). Potential NEs were predefined depending on the study sample. The case studies thoroughly document the systematic recording and ongoing monitoring of NEs through self-report and observer-based assessments during the interventions. The cases illustrate a variety of NE management strategies, including automated and personalized approaches, adapted to the specific nature and severity of the NEs. The NE management approaches are visualized using decision trees. Results In the adult blended case study, online questionnaires detected STBs and triggered automated support information. As on-site therapy had already ended, a telephone consultation session allowed for the identification and discussion of the heightened intensity of suicidal thoughts, along with the development of specific additional help options. In the youth standalone case study, heightened tension in an adolescent with PTSD during trauma processing could be addressed in a telephone therapeutic session focusing on resource activation and emotion regulation. The referral to on-site treatment was supported. Overall, advantages of the NE management included automated procedures, multimodal assessment of a wide range of NEs, and standardized procedures tailored to different severity levels. Weaknesses included the use of single-item assessments for STBs and lack of procedures in case of deterioration or nonresponse to treatment. Conclusion This study provides practical insights and derives key learnings and recommendations regarding the management of NEs in different IMI contexts for both adults and youth.
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Affiliation(s)
- Christina Schulte
- Technical University of Munich, Department of Sports and Health Sciences, Professorship Psychology and Digital Mental Health Care, Georg-Brauchle-Ring 60, 80992 Munich, Germany
| | - Theresa Sextl-Plötz
- Technical University of Munich, Department of Sports and Health Sciences, Professorship Psychology and Digital Mental Health Care, Georg-Brauchle-Ring 60, 80992 Munich, Germany
| | - Harald Baumeister
- Ulm University, Department of Clinical Psychology and Psychotherapy, Lise-Meitner-Str. 16, 89081 Ulm, Germany
| | - Ingrid Titzler
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Clinical Psychology and Psychotherapy, Nägelsbachstr. 25a, 91052 Erlangen, Germany
| | - Lasse B. Sander
- Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Cedric Sachser
- Ulm University, Department of Child and Adolescent Psychiatry and Psychotherapy, Steinhövelstraße 1, 89075 Ulm, Germany
| | - Lena Steubl
- Ulm University, Department of Clinical Psychology and Psychotherapy, Lise-Meitner-Str. 16, 89081 Ulm, Germany
| | - Anna-Carlotta Zarski
- Technical University of Munich, Department of Sports and Health Sciences, Professorship Psychology and Digital Mental Health Care, Georg-Brauchle-Ring 60, 80992 Munich, Germany
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Clinical Psychology and Psychotherapy, Nägelsbachstr. 25a, 91052 Erlangen, Germany
- Philipps-University Marburg, Department of Clinical Psychology, Division of eHealth in Clinical Psychology, Schulstraße 12, 35032 Marburg, Germany
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Lamont K, van Woerden HC, King E, Wendelboe-Nelson C, Humphry RW, Stark C, Williams C, Maxwell M. Improving the mental health of farmers: what types of remote support are acceptable, feasible, and improve outcomes? A feasibility RCT. DISCOVER MENTAL HEALTH 2024; 4:4. [PMID: 38175308 PMCID: PMC10766572 DOI: 10.1007/s44192-023-00054-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND The farming community have high rates of poor mental health, and are relatively 'hard to reach' with mental health services. The aim of this study was therefore to undertake a feasibility RCT, based on two mental health interventions. These were (1) CBT based 'Living Life to the Full for Farming Communities' (LLTTF-F; www.llttf.com ), and (2) a holistic social and emotional support service delivered by the Royal Scottish Agricultural Benevolent Institution (RSABI). The feasibility was supplemented by process evaluation. METHODS This feasibility study aimed to recruit 40 individuals from the farming community who were experiencing a common health problem defined as a score of > = 8 on PHQ-9. A snowball approach was used to recruit interested individuals who had an association with farming. An initial telephone call screened for eligibility and obtained consent to randomisation to the two specified interventions, or to a thirdly group receiving a combination of both LLTTF-F and 'Social and emotional support'. Participants were permitted to override the randomised option if they expressed a strong preference before the interventions began. RESULTS Thirty-two participants provided baseline and three-month data. All three interventions showed positive improvements on PHQ-9 scores as follows: the 'combined intervention' mean baseline score was 18.1 compared to 12.0 at 3-month follow-up (mean change 6.1). 'Social and emotional support' mean baseline score was 11.3 compared to 6.7 at 3-month follow-up (mean change 4.6). 'LLTTF-F CBT-based intervention only' mean baseline score was 11.8 compared to 4.5 at 3-month follow-up (mean change 7.3). The retention rate was 81% at three months. In a sub-group of the LLTTF-F CBT-based intervention online materials were supplemented by telephone guided support. This approach received very positive feedback. CONCLUSIONS Recruitment from the farming community required intense effort, and good engagement can then be retained for at least three months. There is evidence that the interventions used were feasible, and tentative evidence that they had a demonstrable effect on mental wellbeing, with the LLTTFF providing the largest effect on PHQ-9 scores. Trial Registration Number ISRCTN27173711, submitted 25/08/2023, confirmed 22/092023.
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Affiliation(s)
- Kate Lamont
- Scotland's Rural College (SRUC), Scotland, UK
| | | | - Emma King
- University of Stirling, Scotland, UK
| | | | | | - Cameron Stark
- University of the Highlands and Islands, Scotland, UK
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Thielecke J, Buntrock C, Freund J, Braun L, Ebert DD, Berking M, Baumeister H, Titzler I. How to promote usage of telehealth interventions for farmers' mental health? A qualitative study on supporting and hindering aspects for acceptance and satisfaction with a personalized telephone coaching for depression prevention. Internet Interv 2023; 34:100671. [PMID: 37772161 PMCID: PMC10523267 DOI: 10.1016/j.invent.2023.100671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/08/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023] Open
Abstract
Low-threshold and remotely delivered preventive interventions, like telephone coaching, are warranted for farmers who experience multiple risk factors for depression, live in underserved areas, and show low help-seeking behavior. Factors facilitating uptake and actual use of effective remote interventions are important to reduce depression disease burden. This study aimed at identifying factors that potentially can influence acceptance of and satisfaction with a telephone coaching in this occupational group.Semi-structured interviews were based on the 'Unified Theory of Acceptance and Use of Technology', the 'Evaluation', and 'Discrepancy' models for satisfaction. Interviews were conducted with 20 of 66 invited participants of a 6-months telephone coaching during an effectiveness or implementation study. Audio-recorded interviews were transcribed and analyzed (deductive-inductive qualitative content analysis). Independent coding by two persons resulted in good agreement (Κ = 0.80). Participants validated results via questionnaire.Overall, 32 supporting (SF) and 14 hindering factors (HF) for acceptance and satisfaction were identified and organized into five dimensions: Coaching result (SF = 9, HF = 3), coach (SF = 9, HF = 1), organization (SF = 5, HF = 2), the telephone as communication medium (SF = 4, HF = 5) and participant characteristics (SF = 5, HF = 3). Most named SFs were 'Flexible appointment arrangement' (n = 19/95 %) and 'low effort' (n = 17/85 %), while most reported HFs were 'lack of visual cues' (n = 12/60 %) and 'social/professional involvement restricts change process' (n = 10/50 %).The perceived changes initiated by coaching, a low effort through telephone conduct, and the indicated personalization were identified as important influencing factors on acceptance and satisfaction based on interviewees' statements. Both may be further enhanced by offering choice and advice for delivery formats (e.g., video-calls) and training of coaches in farm-related issues. Study registration German Clinical Trial Registrations: DRKS00017078 and DRKS00015655.
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Affiliation(s)
- Janika Thielecke
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Claudia Buntrock
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Institute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Johanna Freund
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Lina Braun
- Department of Clinical Psychology and Psychotherapy, Ulm University, Ulm, Germany
| | - David D. Ebert
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Matthias Berking
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Ulm University, Ulm, Germany
| | - Ingrid Titzler
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed SD, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. J Med Internet Res 2023; 25:e48000. [PMID: 37490322 PMCID: PMC10410406 DOI: 10.2196/48000] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.
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Affiliation(s)
- Robin van Kessel
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Department of International Health, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Andres Roman-Urrestarazu
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Michael Anderson
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Ilias Kyriopoulos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Samantha Field
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Giovanni Monti
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Shelby D Reed
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
| | - Milena Pavlova
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - George Wharton
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Elias Mossialos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
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Freund J, Ebert DD, Thielecke J, Braun L, Baumeister H, Berking M, Titzler I. Using the Consolidated Framework for Implementation Research to evaluate a nationwide depression prevention project (ImplementIT) from the perspective of health care workers and implementers: Results on the implementation of digital interventions for farmers. Front Digit Health 2023; 4:1083143. [PMID: 36761450 PMCID: PMC9907445 DOI: 10.3389/fdgth.2022.1083143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/28/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction Depression has a significant impact on individuals and society, which is why preventive measures are important. Farmers represent an occupational group exposed to many risk factors for depression. The potential of guided, tailored internet-based interventions and a personalized telephone coaching is evaluated in a German project of the Social Insurance for Agriculture, Forestry and Horticulture (SVLFG). While user outcomes are promising, not much is known about actual routine care use and implementation of the two digital health interventions. This study evaluates the implementation from the perspective of social insurance employees to understand determinants influencing the uptake and implementation of digital interventions to prevent depression in farmers. Methods The data collection and analysis are based on the Consolidated Framework for Implementation Research (CFIR). Health care workers (n = 86) and implementers (n = 7) completed online surveys and/or participated in focus groups. The surveys consisted of validated questionnaires used in implementation research, adapted items from the CFIR guide or from other CFIR studies. In addition, we used reporting data to map implementation based on selected CFIR constructs. Results Within the five CFIR dimensions, many facilitating factors emerged in relation to intervention characteristics (e.g., relative advantage compared to existing services, evidence and quality) and the inner setting of the SVLFG (e.g., tension for change, compatibility with values and existing working processes). In addition, barriers to implementation were identified in relation to the outer setting (patient needs and resources), inner setting (e.g., available resources, access to knowledge and information) and characteristics of individuals (e.g., self-efficacy). With regard to the implementation process, facilitating factors (formal implementation leaders) as well as hindering factors (reflecting and evaluating) were identified. Discussion The findings shed light on the implementation of two digital prevention services in an agricultural setting. While both offerings seem to be widely accepted by health care workers, the results also point to revealed barriers and contribute to recommendations for further service implementation. For instance, special attention should be given to "patient needs and resources" by raising awareness of mental health issues among the target population as well as barriers regarding the inner setting. Clinical Trial Registration German Clinical Trial Registration: [DRKS00017078]. Registered on 18.04.2019.
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Affiliation(s)
- Johanna Freund
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany,TUM Department of Sport and Health Sciences, TU Munich, Munich, Germany,Correspondence: Johanna Freund
| | | | - Janika Thielecke
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany,TUM Department of Sport and Health Sciences, TU Munich, Munich, Germany
| | - Lina Braun
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Matthias Berking
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ingrid Titzler
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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