Haal meer uit je leven met pijn: een onderzoek naar inlogpatronen, adherentie en pijninterferentie bij de online interventie

Bruin, M. de (2013) Haal meer uit je leven met pijn: een onderzoek naar inlogpatronen, adherentie en pijninterferentie bij de online interventie.

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Abstract:Chronic pain is a frequently occurring problem that has got a negative influence on various aspects of daily life. Cognitive behavioral therapy (CBT) is the most common used psychological treatment of pain, and has got an average effect. A new, alternative form of therapy is Acceptance and Commitment Therapy (ACT). The general goal of this therapy is to increase psychological flexibility. Known interventions (CBT and ACT) are nowadays being presented in a new way: online. Online assistance is effective, but chances to benefit from it are being missed regularly, because of non-adherence. This means that not everybody uses or completes the intervention as intended. Studies on (non-) adherence mainly focus on user properties, technology and usage patterns. However, a substantial part remains unexplained. The current study focusses on login patterns and its influence on adherence and effect of the online intervention ‘Get more out of your life, with pain’. This intervention is based on ACT and Mindfulness. Respondents can be divided in a group with a stable login pattern (at least 60% of the number of logins in one part of the day) and a group with an unstable login pattern. The average number of logins per person and per part of the day is being calculated, for both groups. Also, the average scores on the Multidimensional Pain Inventory (MPI-) subscale pain interference are being calculated for three measurement points. Results show that users more often use an unstable login pattern, and that there is a trend to login most in the afternoon, and least at nighttime. There is no difference in the number of logins between the group with a stable login pattern and the group with an unstable login pattern. The one-way analysis of variance (ANOVA) shows there is more adherence in the group with an unstable login pattern. The repeated measures ANOVA shows there is no difference in effect of the intervention between both groups. The intervention is effective, for both groups. Outcomes show that an unstable login pattern leads to more adherence, and that the login pattern has got no influence on the effect of the intervention. Possibly, the effect is greatest when there is a balance between stable and unstable login. Follow-up study of this balance can offer more insight.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:http://purl.utwente.nl/essays/64046
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