Literature DB >> 20636115

Patients can diagnose too: How continuous self-assessment aids diagnosis of, and recovery from, depression.

Peter C Groot1.   

Abstract

BACKGROUND: A dichotomous ICD-10 or DSM-IV diagnosis of depression does not fully capture its natural phenotype: a dimensional continuum of environmentally reactive fluctuations in mood. Therefore, ICD and DSM labels of depression, although useful from a service perspective, fail to help patients directly. This paper will show, using the author's experiences as an example, that patients with mood disorders can "diagnose" the natural phenotype, in the sense that systematic recording of painful fluctuations in environmentally reactive moods by the patient him- or herself may: (i) not only provide an accurate assessment of depression, but (ii) result in a process of conscious awareness of aberrant responses to the environment - a first step on the way to recovery.
METHOD: The author developed a rudimentary but useable method to diagnose his dynamic mood fluctuations over the years. The continuous assessment method allowed him to systematically score his mood and activities every day, enabling him to study and analyse in detail the course and context of mood symptoms over time.
RESULTS: With time, this initial strategy evolved into a new, more informed, more empowered diagnosis of his problems and ultimately contributed to a more resilient mind set with regard to mood changes and ways of active rather than avoidant coping with them.
CONCLUSIONS: Many people with mood problems receive a DSM label but are not taught to engage in diagnosing what depression is: a dynamic pattern of environmentally reactive mood responses. Continuous diagnostic self-assessment strategies may help patients to learn, adjust and cope with their emotional vulnerabilities expressed as dimensional and reactive variation in mood. Patients can be empowered to diagnose experiences as a means to understand the sources and consequences of continuous mood variation over time.

Entities:  

Mesh:

Year:  2010        PMID: 20636115     DOI: 10.3109/09638237.2010.494188

Source DB:  PubMed          Journal:  J Ment Health        ISSN: 0963-8237


  12 in total

1.  Discovering different profiles in the dynamics of depression based on real-time monitoring of mood: a first exploration.

Authors:  Claire R van Genugten; Josien Schuurmans; Wouter van Ballegooijen; Adriaan W Hoogendoorn; Jan H Smit; Heleen Riper
Journal:  Internet Interv       Date:  2021-07-27

2.  Assessing your mood online: acceptability and use of Moodscope.

Authors:  G Drake; E Csipke; T Wykes
Journal:  Psychol Med       Date:  2012-11-13       Impact factor: 7.723

3.  An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis.

Authors:  Maarten Bak; Marjan Drukker; Laila Hasmi; Jim van Os
Journal:  PLoS One       Date:  2016-09-19       Impact factor: 3.240

4.  Use of a self-rating scale to monitor depression severity in recurrent GP consultations in primary care - does it really make a difference? A randomised controlled study.

Authors:  C Wikberg; J Westman; E-L Petersson; M E H Larsson; M André; R Eggertsen; J Thorn; H Ågren; C Björkelund
Journal:  BMC Fam Pract       Date:  2017-01-19       Impact factor: 2.497

5.  Patients' perspectives on the use of the Montgomery-Asberg depression rating scale self-assessment version in primary care.

Authors:  Carl Wikberg; Agneta Pettersson; Jeanette Westman; Cecilia Björkelund; Eva-Lisa Petersson
Journal:  Scand J Prim Health Care       Date:  2016-11-02       Impact factor: 2.581

6.  Self-monitoring and personalized feedback based on the experiencing sampling method as a tool to boost depression treatment: a protocol of a pragmatic randomized controlled trial (ZELF-i).

Authors:  Jojanneke A Bastiaansen; Maaike Meurs; Renee Stelwagen; Lex Wunderink; Robert A Schoevers; Marieke Wichers; Albertine J Oldehinkel
Journal:  BMC Psychiatry       Date:  2018-09-03       Impact factor: 3.630

7.  Smartphone-based safety planning and self-monitoring for suicidal patients: Rationale and study protocol of the CASPAR (Continuous Assessment for Suicide Prevention And Research) study.

Authors:  Chani Nuij; Wouter van Ballegooijen; Jeroen Ruwaard; Derek de Beurs; Jan Mokkenstorm; Erik van Duijn; Remco F P de Winter; Rory C O'Connor; Jan H Smit; Heleen Riper; Ad Kerkhof
Journal:  Internet Interv       Date:  2018-05-05

8.  Personalized ESM monitoring and feedback to support psychological treatment for depression: a pragmatic randomized controlled trial (Therap-i).

Authors:  H Riese; L von Klipstein; R A Schoevers; D C van der Veen; M N Servaas
Journal:  BMC Psychiatry       Date:  2021-03-10       Impact factor: 3.630

9.  Anticipating the direction of symptom progression using critical slowing down: a proof-of-concept study.

Authors:  Marieke J Schreuder; Johanna T W Wigman; Robin N Groen; Els Weinans; Marieke Wichers; Catharina A Hartman
Journal:  BMC Psychiatry       Date:  2022-01-21       Impact factor: 3.630

10.  ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data.

Authors:  Laura F Bringmann; Date C van der Veen; Marieke Wichers; Harriëtte Riese; Gert Stulp
Journal:  Qual Life Res       Date:  2020-11-22       Impact factor: 4.147

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