Effect of a Daily Text Messaging and Directly Supervised Therapy Intervention on Oral Mercaptopurine Adherence in Children With Acute Lymphoblastic Leukemia: A Randomized Clinical Trial

Smita Bhatia, Lindsey Hageman, Yanjun Chen, F Lennie Wong, Elizabeth L McQuaid, Christina Duncan, Leo Mascarenhas, David Freyer, Nkechi Mba, Paula Aristizabal, David Walterhouse, Glen Lew, Pamela Helen-Heilge Kempert, Thomas Bennett Russell, Rene Y McNall-Knapp, Shana Jacobs, Ha Dang, Elizabeth Raetz, Mary V Relling, Wendy Landier, Smita Bhatia, Lindsey Hageman, Yanjun Chen, F Lennie Wong, Elizabeth L McQuaid, Christina Duncan, Leo Mascarenhas, David Freyer, Nkechi Mba, Paula Aristizabal, David Walterhouse, Glen Lew, Pamela Helen-Heilge Kempert, Thomas Bennett Russell, Rene Y McNall-Knapp, Shana Jacobs, Ha Dang, Elizabeth Raetz, Mary V Relling, Wendy Landier

Abstract

Importance: Suboptimal adherence to oral mercaptopurine treatment in children with acute lymphoblastic leukemia (ALL) increases the risk of relapse. A frequently expressed barrier to adherence is forgetfulness, which is often overcome by parental vigilance.

Objective: To determine whether a multicomponent intervention, compared with education alone, will result in a higher proportion of patients with ALL who have mercaptopurine adherence rates 95% or higher, for all study participants and among patients younger than 12 years and vs those aged 12 years and older.

Design, setting, and participants: The adherence intervention trial was an investigator-initiated, multi-institutional, parallel-group, unblinded, randomized clinical trial conducted between July 16, 2012, and August 8, 2018, at 59 Children's Oncology Group institutions in the US, enrolling patients with ALL diagnosed through age 21 years and receiving mercaptopurine for maintenance. The date of final follow-up was January 2, 2019. Data analysis was performed from February to October 2019.

Interventions: Patients were randomized 1:1 to education alone or the intervention package, which consisted of education and personalized text message reminders daily to prompt directly supervised therapy. Four weeks of baseline adherence monitoring were followed with a 16-week intervention.

Main outcomes and measures: The primary end point was the proportion of patients with adherence rates 95% or higher over the duration of the intervention for all study participants, and for those younger than 12 years vs those aged 12 years and older.

Results: There were 444 evaluable patients (median age, 8.1 years; interquartile range, 5.3-14.3 years), including 230 in the intervention group and 214 in the education group. Three hundred two patients (68.0%) were boys, 180 (40.5%) were non-Hispanic White, 170 (38.3%) were Hispanic, 43 (9.7%) were African American, and 51 (11.5%) were Asian or of mixed race/ethnicity. The proportion of patients with adherence rates 95% or higher did not differ between the intervention vs education groups (65% vs 59%; odds ratio, 1.33; 95% CI, 1.0-2.0; P = .08). Exploratory analyses showed that among patients aged 12 years and older, those in the intervention group had higher mean (SE) adherence rates than those in the education group (93.1% [1.1%] vs 90.0% [1.3%]; difference, 3.1%; 95% CI, 0.1%-6.0%; P = .04). In particular, among patients aged 12 years and older with baseline adherence less than 90%, those in the intervention group had higher mean (SE) adherence rates than those in the education group (83.4% [2.5%] vs 74.6% [3.4%]; difference, 8.8%; 95% CI, 2.2%-15.4%; P = .008). No safety concerns were identified.

Conclusions and relevance: Although this multicomponent intervention did not result in an increase in the proportion of patients with ALL who had mercaptopurine adherence rates 95% or higher, it did identify a high-risk subpopulation to target for future adherence intervention strategies: adolescents with low baseline adherence.

Trial registration: ClinicalTrials.gov Identifier: NCT01503632.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Mascarenhas reported receiving grants and clinical trial support to his institution from the National Cancer Institute through the Children’s Oncology Group during the conduct of the study; personal fees from Bayer; clinical trials support to his institution from Bayer, Eli Lilly, Loxo-Oncology, AstraZeneca, Jazz, Salarius, Thermo Fisher Scientific, ER SQUIBB, Merck, Novartis, Amgen, and Incyte outside the submitted work; and travel and accommodation related to consulting from Bayer, AstraZeneca, Salarius, and Thermo Fisher Scientific with no personal remuneration outside the submitted work; and reporting serving on the board of directors for the Children’s Oncology Group Foundation (present), American Society of Pediatric Hematology and Oncology (past), and the Pablove Foundation (past). Dr Lew reported receiving travel reimbursement for study committee activity from BMS outside the submitted work. Dr Raetz reported receiving grants from Pfizer and serving on the Data Safety Monitory Board for Celgene outside the submitted work. Dr Relling reported receiving grants from Servoer and the National Institutes of Health outside the submitted work. Dr Landier reported receiving grants from National Cancer Institute during the conduct of the study. No other disclosures were reported.

Figures

Figure 1.. Enrollment and Retention of Patients…
Figure 1.. Enrollment and Retention of Patients by Study Group
Day 29 and day 57 represent days during the trial when the patient returned for a scheduled clinic visit. aAmong the 163 patients who did not meet the inclusion criteria, 111 were using a pillbox, 20 did not want to receive text message reminders, 12 did not want to use the Medication Event Monitoring System (MEMS) device, 5 did not have a designated caregiver, and 15 had other reasons. Among the 295 patients who declined participation, 114 were not interested, 62 had another reminder system, 24 said they already remembered, 23 said they were too busy or the timing was bad, 3 had physician refusal, and the other 69 had other or no reasons. Lack of access to a text-capable device was not a confounding feature, because for patients who did not have access to a cellular telephone with texting capabilities, we issued a study telephone with unlimited data for the entire study period.
Figure 2.. Mean Fitted Adherence Rate by…
Figure 2.. Mean Fitted Adherence Rate by Treatment Group, Intervention Package (IP) and Education Alone
Graphs show adherence rates for entire cohort (A), for children younger than 12 years at study participation (B), for children aged 12 years and older at study participation (C), for children aged 12 years and older with baseline adherence less than 90% (D), and for children aged 12 years and older with baseline adherence greater than or equal to 90% (E). The IP included education and daily personalized text message reminders prompting directly supervised therapy.
Figure 3.. Proportion of Patients With Adherence…
Figure 3.. Proportion of Patients With Adherence Rates 95% or Higher Before and After the Intervention Period
The intervention package (IP) included education and daily personalized text message reminders prompting directly supervised therapy. Proportions of patients were adjusted for baseline adherence, paternal education, and time in the adherence study.

References

    1. Hunger SP, Mullighan CG. Acute lymphoblastic leukemia in children. N Engl J Med. 2015;373(16):1541-1552. doi:10.1056/NEJMra1400972
    1. Raetz EA, Bhatla T. Where do we stand in the treatment of relapsed acute lymphoblastic leukemia? Hematology Am Soc Hematol Educ Program. 2012;2012:129-136. doi:10.1182/asheducation.V2012.1.129.3800156
    1. Nielsen SN, Grell K, Nersting J, et al. . DNA-thioguanine nucleotide concentration and relapse-free survival during maintenance therapy of childhood acute lymphoblastic leukaemia (NOPHO ALL2008): a prospective substudy of a phase 3 trial. Lancet Oncol. 2017;18(4):515-524. doi:10.1016/S1470-2045(17)30154-7
    1. Koren G, Ferrazini G, Sulh H, et al. . Systemic exposure to mercaptopurine as a prognostic factor in acute lymphocytic leukemia in children. N Engl J Med. 1990;323(1):17-21. doi:10.1056/NEJM199007053230104
    1. Relling MV, Hancock ML, Boyett JM, Pui CH, Evans WE. Prognostic importance of 6-mercaptopurine dose intensity in acute lymphoblastic leukemia. Blood. 1999;93(9):2817-2823. doi:10.1182/blood.V93.9.2817
    1. Bhatia S, Landier W, Hageman L, et al. . Systemic exposure to thiopurines and risk of relapse in children with acute lymphoblastic leukemia: a Children’s Oncology Group study. JAMA Oncol. 2015;1(3):287-295. doi:10.1001/jamaoncol.2015.0245
    1. De Geest S, Zullig LL, Dunbar-Jacob J, et al. . ESPACOMP Medication Adherence Reporting Guideline (EMERGE). Ann Intern Med. 2018;169(1):30-35. doi:10.7326/M18-0543
    1. Vrijens B, De Geest S, Hughes DA, et al. ; ABC Project Team . A new taxonomy for describing and defining adherence to medications. Br J Clin Pharmacol. 2012;73(5):691-705. doi:10.1111/j.1365-2125.2012.04167.x
    1. Bhatia S, Landier W, Hageman L, et al. . 6MP adherence in a multiracial cohort of children with acute lymphoblastic leukemia: a Children’s Oncology Group study. Blood. 2014;124(15):2345-2353. doi:10.1182/blood-2014-01-552166
    1. Bhatia S, Landier W, Shangguan M, et al. . Nonadherence to oral mercaptopurine and risk of relapse in Hispanic and non-Hispanic white children with acute lymphoblastic leukemia: a report from the children’s oncology group. J Clin Oncol. 2012;30(17):2094-2101. doi:10.1200/JCO.2011.38.9924
    1. Landier W, Hughes CB, Calvillo ER, et al. . A grounded theory of the process of adherence to oral chemotherapy in Hispanic and Caucasian children and adolescents with acute lymphoblastic leukemia. J Pediatr Oncol Nurs. 2011;28(4):203-223. doi:10.1177/1043454211409582
    1. Schulz KF, Altman DG, Moher D; CONSORT Group . CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials. Ann Intern Med. 2010;152(11):726-732. doi:10.7326/0003-4819-152-11-201006010-00232
    1. Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the Health Belief Model. Health Educ Q. 1988;15(2):175-183. doi:10.1177/109019818801500203
    1. van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res. 2007;16(3):219-242. doi:10.1177/0962280206074463
    1. Nieuwlaat R, Wilczynski N, Navarro T, et al. . Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2014;(11):CD000011. doi:10.1002/14651858.CD000011.pub4
    1. Makoul G, Cameron KA, Baker DW, Francis L, Scholtens D, Wolf MS. A multimedia patient education program on colorectal cancer screening increases knowledge and willingness to consider screening among Hispanic/Latino patients. Patient Educ Couns. 2009;76(2):220-226. doi:10.1016/j.pec.2009.01.006
    1. Krishna S, Francisco BD, Balas EA, König P, Graff GR, Madsen RW. Internet-enabled interactive multimedia asthma education program: a randomized trial. Pediatrics. 2003;111(3):503-510. doi:10.1542/peds.111.3.503
    1. Revere D, Dunbar PJ. Review of computer-generated outpatient health behavior interventions: clinical encounters “in absentia”. J Am Med Inform Assoc. 2001;8(1):62-79. doi:10.1136/jamia.2001.0080062
    1. Thakkar J, Kurup R, Laba TL, et al. . Mobile telephone text messaging for medication adherence in chronic disease: a meta-analysis. JAMA Intern Med. 2016;176(3):340-349. doi:10.1001/jamainternmed.2015.7667
    1. Strandbygaard U, Thomsen SF, Backer V. A daily SMS reminder increases adherence to asthma treatment: a three-month follow-up study. Respir Med. 2010;104(2):166-171. doi:10.1016/j.rmed.2009.10.003
    1. Mayer JE, Fontelo P. Meta-analysis on the effect of text message reminders for HIV-related compliance. AIDS Care. 2017;29(4):409-417. doi:10.1080/09540121.2016.1214674
    1. Vervloet M, van Dijk L, Santen-Reestman J, et al. . SMS reminders improve adherence to oral medication in type 2 diabetes patients who are real time electronically monitored. Int J Med Inform. 2012;81(9):594-604. doi:10.1016/j.ijmedinf.2012.05.005
    1. Foster BJ, Pai ALH, Zelikovsky N, et al. . A randomized trial of a multicomponent intervention to promote medication adherence: the Teen Adherence in Kidney Transplant Effectiveness of Intervention Trial (TAKE-IT). Am J Kidney Dis. 2018;72(1):30-41. doi:10.1053/j.ajkd.2017.12.012
    1. Weis SE, Slocum PC, Blais FX, et al. . The effect of directly observed therapy on the rates of drug resistance and relapse in tuberculosis. N Engl J Med. 1994;330(17):1179-1184. doi:10.1056/NEJM199404283301702
    1. Nahid P, Dorman SE, Alipanah N, et al. . Executive Summary: Official American Thoracic Society/Centers for Disease Control and Prevention/Infectious Diseases Society of America Clinical Practice Guidelines: treatment of drug-susceptible tuberculosis. Clin Infect Dis. 2016;63(7):853-867. doi:10.1093/cid/ciw566
    1. Leader A, Benyamini N, Gafter-Gvili A, et al. . Effect of adherence-enhancing interventions on adherence to tyrosine kinase inhibitor treatment in chronic myeloid leukemia (TAKE-IT): a quasi-experimental pre-post intervention multicenter pilot study. Clin Lymphoma Myeloma Leuk. 2018;18(11):e449-e461. doi:10.1016/j.clml.2018.06.026
    1. Allemann SS, Nieuwlaat R, Navarro T, Haynes B, Hersberger KE, Arnet I. Congruence between patient characteristics and interventions may partly explain medication adherence intervention effectiveness: an analysis of 190 randomized controlled trials from a Cochrane systematic review. J Clin Epidemiol. 2017;91:70-79. doi:10.1016/j.jclinepi.2017.07.011
    1. Landier W, Chen Y, Hageman L, et al. . Comparison of self-report and electronic monitoring of 6MP intake in childhood ALL: a Children’s Oncology Group study. Blood. 2017;129(14):1919-1926. doi:10.1182/blood-2016-07-726893
    1. Hoppmann AL, Chen Y, Landier W, et al. . Individual prediction of non-adherence to oral mercaptopurine (6MP) in children with acute lymphoblastic leukemia (ALL): results from COG AALL03N1 study. J Clin Oncol. 2020;38(15)(suppl):10530. doi:10.1200/JCO.2020.38.15_suppl.10530
    1. Deschamps AE, Van Wijngaerden E, Denhaerynck K, De Geest S, Vandamme AM. Use of electronic monitoring induces a 40-day intervention effect in HIV patients. J Acquir Immune Defic Syndr. 2006;43(2):247-248. doi:10.1097/01.qai.0000246034.86135.89

Source: PubMed

3
Prenumerera