"Medtep DBT": A Dialectical Behavior Therapy Native App and Web Platform for Borderline Personality Disorder Patients and Their Therapists
Open accessAbstract
Objective: The present article is aimed at describing the development process of Medtep DBT, a native app and web platform, based on Dialectical Behavior Therapy (DBT) for Borderline Personality Disorder (BPD) patients and their therapists. Materials and Methods: The development of Medtep DBT involved five steps: Analysis of the current mobile apps related to DBT and BPD. Development of a beta version of Medtep DBT in collaboration with psychiatrists, psychologists and BPD patients in knowledge of DBT. Testing the beta version by other BPD patients and introducing changes based on provided feedback. Content validation of the final version by mental health professionals. Results: Content validity has been granted by psychologist and psychiatrist whose experience with the use of the platform has been satisfactory. Feedback from BPD patients has also been positive. Discussion: Medtep DBT can be very useful for both, BPD patients and psychologists and psychiatrists; besides being built on evidence-based DBT standards, it is reinforced by BPD patients' and mental health professionals' feedback and collaboration. Even though its content validity has been granted, a pilot study is being carried out to assess its effectiveness. Conclusion: Medtep DBT facilitates BPD patients the accessibility to digital therapeutic tools to register all the information related to the therapy in a more patient-friendly manner versus paper. Moreover, therapists can provide personalized care in a timely manner. So far, Medtep DBT provides a patient-therapist approach like no other app available in the market.
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Major barriers to app-related DBT include app navigation challenges and difficulties understanding interventions without prior DBT exposure or clinical support.
“major barriers include app navigation challenges and difficulties understanding interventions without prior DBT exposure or clinical support [41,42]”
From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [42]
The Discussion (page not available in our copy) says Medtep DBT might be difficult to use for someone without knowledge of DBT, supporting the prior-exposure part of the claim. It does not identify app navigation challenges or lack of clinical support as barriers. (LLM, conf=0.85)
Experimental — accuracy not yet measuredApp-related DBT studies have shown potential in allowing users to learn and practice a wide range of skills.
“App-related DBT studies have shown potential in allowing users to learn and practice a wide range of skills”
From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [42]
The Diary Card section describes skill information and tracking across four DBT fields, and the Conclusions say Medtep DBT guides patients through learning and using therapeutic tools. But the Objective describes skills learned during therapy sessions, while the Conclusions say a pilot to test the app’s effectiveness was still underway. The paper supports the app’s potential to help patients use skills, not a demonstrated finding that apps enable users to learn and practice a wide range of skills. (LLM, conf=0.82)
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References 36 · Cited by 4
Research works printed but not linked: 8
- American Psychiatric Association. Diagnostic and statistical manual of mental health disorder (5 th ed.). Arlington, VA: American Psychiatric Publishing 2013.
- Grant BF, Chou SP, Goldstein RB, et al. Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Borderline Personality Disorder: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry 2008; 69(4): 533-545.
- Linehan MM, Korslund KE, Harned MS, et al. Dialectical Behavior Therapy for High Suicide Risk in Individuals With Borderline Personality Disorder: A Randomized Clinical Trial and Component Analysis JAMA Psychiatry 2015; 72(5):475-82.
- Linehan MM. Skills training manual for treating borderline personality disorder. Diagnosis and treatment of mental disorders. New York, NY: Guilford Press 1993.
- Leigh S, Flatt S. App-based psychological interventions: friend or foe? BMJ 2015; 18:97-99.
- Biddle L, Donovan J, Hawton K, et al. Suicide and the Internet. BMJ 2008; 336: 800.
- Payne K, Wharrad H, Watts K. Smartphone and medical related Apps use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak 2012; 12:121.
- Powell AC, Landman AB, Bates DW. In search of a few good apps. JAMA 2014; 311(18):1851-1852.
- Authors
- Suñol, J., María Panisello, J., Castell, E., Juan Tárraga López, P., Sánchez, C., & Pérez, V.
- Affiliations
- Hospital Del Mar (ES)
- ORCID
- Pérez, Víctor
- Venue
- Universal Journal of Public Health
- Published
- 2017-05
- Volume
- 5
- Issue
- 3
- Pages
- 110-118
- ISSN
- 2331-8880 (ISSN-L)
- 2331-8945
- OpenAlex
- W2621123678
- Cited by
- 4
- References
- 36
- Citations by year
- 2022: 1 · 2020: 2 · 2017: 1
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Universal Journal of Public Health (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- dialectical behavior therapy, borderline personality disorder, mobile health apps, patient-therapist communication, content validity, digital therapeutics
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