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dc.contributor.authorMalins, Samuel
dc.contributor.authorBiswas, Sanchia
dc.contributor.authorSweeney, Timothy
dc.contributor.authorLevene, Jo
dc.date.accessioned2019-11-04T16:39:17Z
dc.date.available2019-11-04T16:39:17Z
dc.date.issued2019
dc.identifier.citationWells, C., Malins, S., Clarke, S., Skorodzien, I., Biswas, S., Sweeney, T., Mogaddam, N. & Levene, J. (2019). Using smart-messaging to enhance mindfulness-based cognitive therapy for cancer patients: A mixed methods proof of concept evaluation. Psycho-Oncology, 29 (1), pp. 212-219.en
dc.identifier.other10.1002/pon.5256
dc.identifier.urihttp://hdl.handle.net/20.500.12904/14187
dc.description© 2019 The Authors. Psycho-Oncology published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.description.abstractOBJECTIVE Depression and anxiety lead to reduced treatment adherence, poorer quality of life, and increased care costs amongst cancer patients. Mindfulness-Based Cognitive Therapy (MBCT) is an effective treatment, but dropout reduces potential benefits. Smart-message reminders can prevent dropout and improve effectiveness. However, smart-messaging is untested for MBCT in cancer. This study evaluates smart-messaging to reduce dropout and improve effectiveness in MBCT for cancer patients with depression or anxiety. METHODS Fifty-one cancer patients attending MBCT in a psycho-oncology service were offered a smart-messaging intervention, which reminded them of prescribed between-session activities. Thirty patients accepted smart-messaging and 21 did not. Assessments of depression and anxiety were taken at baseline, session-by-session and one-month follow-up. Logistic regression and multilevel modelling compared the groups on treatment completion and clinical effectiveness. Fifteen post-treatment patient interviews explored smart-messaging use. RESULTS The odds of programme completion were eight times greater for patients using smart-messaging compared with non-users, controlling for age, gender, baseline depression, and baseline anxiety (OR = 7.79, 95% CI 1.75 to 34.58, p = .007). Smart-messaging users also reported greater improvement in depression over the programme (B = -2.33, SEB = .78, p = .004), when controlling for baseline severity, change over time, age, and number of sessions attended. There was no difference between groups in anxiety improvement (B = -1.46, SEB = .86, p = .097). In interviews, smart-messaging was described as a motivating reminder and source of personal connection. CONCLUSIONS Smart-messaging may be an easily integrated telehealth intervention to improve MBCT for cancer patients.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/pon.5256en
dc.subjectCognitive therapyen
dc.subjectTelemedicineen
dc.subjectPatient dropouten
dc.subjectDepressionen
dc.subjectAnxietyen
dc.subjectMindfulnessen
dc.subjectNeoplasmsen
dc.titleUsing smart-messaging to enhance mindfulness-based cognitive therapy for cancer patients: A mixed methods proof of concept evaluationen
dc.typeArticleen
refterms.dateFOA2021-12-02T16:36:59Z
html.description.abstractOBJECTIVE Depression and anxiety lead to reduced treatment adherence, poorer quality of life, and increased care costs amongst cancer patients. Mindfulness-Based Cognitive Therapy (MBCT) is an effective treatment, but dropout reduces potential benefits. Smart-message reminders can prevent dropout and improve effectiveness. However, smart-messaging is untested for MBCT in cancer. This study evaluates smart-messaging to reduce dropout and improve effectiveness in MBCT for cancer patients with depression or anxiety. METHODS Fifty-one cancer patients attending MBCT in a psycho-oncology service were offered a smart-messaging intervention, which reminded them of prescribed between-session activities. Thirty patients accepted smart-messaging and 21 did not. Assessments of depression and anxiety were taken at baseline, session-by-session and one-month follow-up. Logistic regression and multilevel modelling compared the groups on treatment completion and clinical effectiveness. Fifteen post-treatment patient interviews explored smart-messaging use. RESULTS The odds of programme completion were eight times greater for patients using smart-messaging compared with non-users, controlling for age, gender, baseline depression, and baseline anxiety (OR = 7.79, 95% CI 1.75 to 34.58, p = .007). Smart-messaging users also reported greater improvement in depression over the programme (B = -2.33, SEB = .78, p = .004), when controlling for baseline severity, change over time, age, and number of sessions attended. There was no difference between groups in anxiety improvement (B = -1.46, SEB = .86, p = .097). In interviews, smart-messaging was described as a motivating reminder and source of personal connection. CONCLUSIONS Smart-messaging may be an easily integrated telehealth intervention to improve MBCT for cancer patients.


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