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Feasibility of Text Messaging to Improve Oral Anti-Cancer Agent Adherence in Older Cancer Patients S. Spoelstra, PhD, RN 1 ; B. Given, PhD, RN, FAAN 1.

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Presentation on theme: "Feasibility of Text Messaging to Improve Oral Anti-Cancer Agent Adherence in Older Cancer Patients S. Spoelstra, PhD, RN 1 ; B. Given, PhD, RN, FAAN 1."— Presentation transcript:

1 Feasibility of Text Messaging to Improve Oral Anti-Cancer Agent Adherence in Older Cancer Patients S. Spoelstra, PhD, RN 1 ; B. Given, PhD, RN, FAAN 1 ; A. Sikorskii, PhD 2 ; C. Coursaris, PhD 3; A. Majumder, MS, PhDc 2 ; M. Schueller, BA 1 ; K. Ridenour 1 ; M. Wormser 1 ; C.W. Given, PhD 4 1 College of Nursing 2 Department of Statistics & Probability 3 Communication Arts 4 College of Human Medicine, Department of Family Medicine FUNDED BY: McKesson Foundation Problem  Within 3 years, 25% of cancer treatment will be in pill form. Cancer medications can cost as much as $800 per pill, and to achieve a therapeutic level patients must strictly adhere to the regimen.  In the US, there are >285 million cell phones.  67.5% of adults own cell phones.  98% of cell phones can text message.  Twelve text messaging trials for disease prevention/management found improved health behaviors.  Multiple mobile phone applications to prompt medication adherence exist, however, few have examined if patients will text message, nor if adherence improves. Design and Methods  We report on enrollment of subjects in a 10-week, randomized 2-group trial from 2 cancer centers and a specialty pharmacy to examine a 21-day text message intervention to promote oral agent adherence and management of treatment- related symptoms.  Enrollment goal is 76 subjects, 55 have consented to date; & 9 have completed the study.  Descriptive statistics for those approached, eligible and consented are reported to assess feasibility of the text message intervention and generalizability of findings.  Recruitment methods:  The specialty pharmacy mailed 955 letters; called patients; used emailed consents (N=19) & 34 patients consented.  Cancer center recruiters met face-to-face with patients in oncologist’s office & 21 patients consented. Implications CONSORT CHART Results Characteristics:  Consented: mean age 58.8 (range 39-79)  60% Female & 40% Male  Eligible not enrolled: mean age 57.0 (range 32-93)  38% Female & 62% Male  Ineligible: mean age of was 63.4 (range 26-88)  44% Female & 56% Male  Difference was found in consented versus eligible not enrolled according to sex (p=.02). Age is not significant.  Difference was found in eligible not enrolled versus ineligible age (p<.01). Sex is not significant. Feasibility:  56% (123 of 222) approached were eligible (>21 years old; cancer with treatment in pill form; had a cell phone & text message).  45% (55 of 123) of eligible consented (not counting 18 patients currently in process of consent, 52% (55/105) consented).  Participants were more likely to be female and younger.  One-fifth of cancer patients who were eligible did not have a cell phone.  One-tenth of cancer patients who were eligible did not text message.  One-half of cancer patients who had a cell phone and could text message participated.  Text messaging has the potential to transform and impact cancer treatment in pill form, promoting adherence to the treatment regimen.  Text messaging may also be effective in other conditions that require adherence to medications. Approached N=222 Ineligible for Study N=99 No cell phone=47 Did not text message=25 No oral agent script=16 Poor English=6 Death=3 Poor hearing=3 Eligible for Study N=123 Eligible Not Enrolled N=68 Not interested=27 In process=18 No reason provided=10 No need for reminder=7 Too busy=5 Too sick=1 Consented N=55 Baseline Interviews Completed N=46 (Week 1 [7-in process]) Attrition N=2 Not wanting to disclose information=1 Deceased=1 Randomization Intervention Group N=22 Attrition N=1 Text Messages Completed N=9 (Weeks 2-4) Exit Interview Completed N=3 (Week 10) Randomization Control Group N=24 Exit Interview Completed N=6 (Week 10) Attrition N=1 Attrition N=1


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