2013
DOI: 10.1016/j.cbpra.2012.06.002
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Using Self-Monitoring: Implementation of Collaborative Empiricism in Cognitive-Behavioral Therapy

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Cited by 75 publications
(65 citation statements)
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“…14 Interventions that ask participants to record self-monitoring data, share self-monitoring results with others (e.g., researchers or care providers), receive immediate rather than delayed feedback, and use objective rather than self-report measures experience greater behavior change and more positive outcomes. 15 Cohen et al 16 theorized that self-monitoring facilitates clients' sense of control, autonomy, and self-efficacy as well as enhances a collaborative relationship between a care provider and a client. While some studies have examined targeted health outcomes of selfmonitoring, only a few have explored persons' perceived benefits of self-monitoring.…”
Section: Self-monitoring Lifestyle Behavior In Overweight and Obese Pmentioning
confidence: 99%
“…14 Interventions that ask participants to record self-monitoring data, share self-monitoring results with others (e.g., researchers or care providers), receive immediate rather than delayed feedback, and use objective rather than self-report measures experience greater behavior change and more positive outcomes. 15 Cohen et al 16 theorized that self-monitoring facilitates clients' sense of control, autonomy, and self-efficacy as well as enhances a collaborative relationship between a care provider and a client. While some studies have examined targeted health outcomes of selfmonitoring, only a few have explored persons' perceived benefits of self-monitoring.…”
Section: Self-monitoring Lifestyle Behavior In Overweight and Obese Pmentioning
confidence: 99%
“…Indeed, selfmonitoring is by no means a new concept and has long been used in the context of CBT as a means of fostering 'collaborative empiricism', with its therapeutic effects reported across a wide variety of psychological disorders [74]. Although often used clinically, there was a decline in self-monitoring research since the 1980s [75].…”
Section: Principal Resultsmentioning
confidence: 99%
“…Given the relative lack of information about time-varying predictors of attendance, this contribution is significant. In addition to improving the prediction of attendance, daily mood-monitoring texts may enhance patients’ mood-state awareness and emotion-regulatory skills (Hill & Updegraff, 2012; Kauer et al, 2012), and may integrate easily into evidence-based psychotherapy programs that emphasize affect-monitoring as a core component of treatment, including CBT (Cohen et al, 2013), DBT (Rizvi, Dimeff, Skutch, Carroll, & Linehan, 2011), and ACT (Hayes, Strosahl, & Wilson, 2011). Moreover, prior pilot research has established the usability and feasibility of text-based mood monitoring within safety net settings, and among low income and ethnic minority patient populations, populations with higher rates of psychotherapy non-attendance (Aguilera & Berridge, 2014; Aguilera & Muñoz, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…As such, daily mood measurements may provide critical information about when patients may miss psychotherapy due to elevated psychiatric symptoms. Furthermore, mood monitoring is a core feature of many evidence-based treatment programs, including CBT (Cohen, Edmunds, Brodman, Benjamin, & Kendall, 2013), so having patients respond to daily mood monitoring texts is consistent with the therapeutic rationale. Given past research, we predicted that low mood in close proximity to a scheduled psychotherapy session would predict a lower likelihood of attendance.…”
Section: The Present Researchmentioning
confidence: 99%
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