Supporting the Medication Adherence of Older Mexican Adults Through External Cues Provided With Ambient Displays: Feasibility Randomized Controlled Trial

Ernesto Zárate-Bravo, Juan-Pablo García-Vázquez, Engracia Torres-Cervantes, Gisela Ponce, Ángel G Andrade, Maribel Valenzuela-Beltrán, Marcela D Rodríguez, Ernesto Zárate-Bravo, Juan-Pablo García-Vázquez, Engracia Torres-Cervantes, Gisela Ponce, Ángel G Andrade, Maribel Valenzuela-Beltrán, Marcela D Rodríguez

Abstract

Background: Problems with prospective memory, which refers to the ability to remember future intentions, cause deficits in basic and instrumental activities of daily living, such as taking medications. Older adults show minimal deficits when they rely on mostly preserved and relatively automatic associative retrieval processes. On the basis of this, we propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines. To reach this end, we developed the Medication Ambient Display (MAD), a system that unobtrusively presents relevant information (unless it requires the users' attention) and uses different abstract modalities to provide external cues that enable older adults to easily take their medications on time and be aware of their medication adherence.

Objective: This study aimed to assess the adoption and effect of external cues provided through ambient displays on medication adherence in older adults.

Methods: A total of 16 older adults, who took at least three medications and had mild cognitive impairment, participated in the study. We conducted a 12-week feasibility study in which we used a mixed methods approach to collect qualitative and quantitative evidence. The study included baseline, intervention, and postintervention phases. Half of the participants were randomly allocated to the treatment group (n=8), and the other half was assigned to the control group (n=8). During the study phases, research assistants measured medication adherence weekly through the pill counting technique.

Results: The treatment group improved their adherence behavior from 80.9% at baseline to 95.97% using the MAD in the intervention phase. This decreased to 76.71% in the postintervention phase when the MAD was no longer being used. Using a one-way repeated measures analysis of variance and a post hoc analysis using the Tukey honestly significant difference test, we identified a significant statistical difference between the preintervention and intervention phases (P=.02) and between the intervention and postintervention phases (P=.002). In addition, the medication adherence rate of the treatment group (95.97%) was greater than that of the control group (88.18%) during the intervention phase. Our qualitative results showed that the most useful cues were the auditory reminders, followed by the stylized representations of medication adherence. We also found that the MAD's external cues not only improved older adults' medication adherence but also mediated family caregivers' involvement.

Conclusions: The findings of this study demonstrate that using ambient modalities for implementing external cues is useful for drawing the attention of older adults to remind them to take medications and to provide immediate awareness on adherence behavior.

Trial registration: ClinicalTrials.gov NCT04289246; https://tinyurl.com/ufjcz97.

Keywords: aged; family caregiver; health information systems; medication adherence.

Conflict of interest statement

Conflicts of Interest: None declared.

©Ernesto D. Zárate-Bravo, Juan-Pablo García-Vázquez, Engracia Torres-Cervantes, Gisela Ponce, Ángel G Andrade, Maribel Valenzuela-Beltrán, Marcela D Rodríguez. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 02.03.2020.

Figures

Figure 1
Figure 1
Study activities and instruments administered to participants during each study phase. CG: control group; MAQ-8: 8-item Medication Adherence Questionnaire; MedMaIDE: Medication Management Instrument for Deficiencies in the Elderly; SPMSQ: Short Portable Mental Status Questionnaire; TG: treatment group.
Figure 2
Figure 2
A research assistant arranging medications in a basket.
Figure 3
Figure 3
Abstract representations of medication adherence based on parakeet growth.
Figure 4
Figure 4
Detailed information about the medication adherence corresponding to the current day and notation used to represent if medicines were taken on time.
Figure 5
Figure 5
Medication Ambient Display reminding to medicate.
Figure 6
Figure 6
Registering the medication: After a senior medicates, she/he should move the corresponding medication container closer to the tablet in order for the attached NFC tag can be recognized by the tablet NFC reader (left); then, MAD acknowledges that the medicine was registered as taken on time (right).
Figure 7
Figure 7
User interfaces of the administration component of Medication Ambient Display, which shows how it enabled the information registration of each medication.
Figure 8
Figure 8
Flow diagram of the participants’ progress through the study phases. CG: control group; MCI: mild cognitive impairment; TG: treatment group.

References

    1. Insel KC, Einstein GO, Morrow DG, Hepworth JT. A multifaceted prospective memory intervention to improve medication adherence: design of a randomized control trial. Contemp Clin Trials. 2013 Jan;34(1):45–52. doi: 10.1016/j.cct.2012.09.005.
    1. Murray MD, Morrow DG, Weiner M, Clark DO, Tu W, Deer MM, Brater DC, Weinberger M. A conceptual framework to study medication adherence in older adults. Am J Geriatr Pharmacother. 2004 Mar;2(1):36–43.
    1. Insel KC, Einstein GO, Morrow DG, Koerner KM, Hepworth JT. Multifaceted prospective memory intervention to improve medication adherence. J Am Geriatr Soc. 2016 Mar;64(3):561–8. doi: 10.1111/jgs.14032.
    1. Gillespie R, Mullan J, Harrison L. Managing medications: the role of informal caregivers of older adults and people living with dementia. A review of the literature. J Clin Nurs. 2014 Dec;23(23-24):3296–308. doi: 10.1111/jocn.12519.
    1. Kang HS, Myung W, Na DL, Kim SY, Lee J, Han S, Choi SH, Kim S, Kim S, Kim DK. Factors associated with caregiver burden in patients with Alzheimer's disease. Psychiatry Investig. 2014 Apr;11(2):152–9. doi: 10.4306/pi.2014.11.2.152.
    1. Smith G, Della Sala S, Logie RH, Maylor EA. Prospective and retrospective memory in normal ageing and dementia: a questionnaire study. Memory. 2000 Sep;8(5):311–21. doi: 10.1080/09658210050117735.
    1. Gillespie RJ, Harrison L, Mullan J. Medication management concerns of ethnic minority family caregivers of people living with dementia. Dementia (London) 2015 Jan;14(1):47–62. doi: 10.1177/1471301213488900.
    1. Lingler JH, Sereika SM, Amspaugh CM, Arida JA, Happ ME, Houze MP, Kaufman RR, Knox ML, Tamres LK, Tang F, Erlen JA. An intervention to maximize medication management by caregivers of persons with memory loss: Intervention overview and two-month outcomes. Geriatr Nurs. 2016;37(3):186–91. doi: 10.1016/j.gerinurse.2015.12.002.
    1. While C, Duane F, Beanland C, Koch S. Medication management: the perspectives of people with dementia and family carers. Dementia (London) 2013 Nov;12(6):734–50. doi: 10.1177/1471301212444056.
    1. Cramer JA. Enhancing patient compliance in the elderly. Role of packaging aids and monitoring. Drugs Aging. 1998 Jan;12(1):7–15. doi: 10.2165/00002512-199812010-00002.
    1. García-Vázquez JP, Rodríguez MD, Andrade AG, Bravo J. Supporting the strategies to improve elders’ medication compliance by providing ambient aids. Pers Ubiquit Comput. 2011;15(4):389–97. doi: 10.1007/s00779-010-0362-0.
    1. Rodríguez M, Zárate E, Stawarz K, García-Vázquez J, Ibarra E. Ambient computing to support the association of contextual cues with medication taking. Rev Mex Ing Bioméd. 2015;36(3):189–205. doi: 10.17488/RMIB.36.3.5.
    1. Zárate-Bravo E, García-Vázquez JP, Rodríguez MD. An ambient medication display to heighten the peace of mind of family caregivers of older adults: A study of feasibility. In: Serino S, Matic A, Giakoumis D, Lopez G, Cipresso P, editors. Pervasive Computing Paradigms for Mental Health. MindCare 2015. Communications in Computer and Information Science. Volume 604. Switzerland: Springer International Publishing; 2016. pp. 274–83.
    1. Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, Wong PK. Medication compliance and persistence: terminology and definitions. Value Health. 2008;11(1):44–7. doi: 10.1111/j.1524-4733.2007.00213.x.
    1. Park LG, Howie-Esquivel J, Chung ML, Dracup K. A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. Patient Educ Couns. 2014 Feb;94(2):261–8. doi: 10.1016/j.pec.2013.10.027.
    1. Park LG, Howie-Esquivel J, Dracup K. A quantitative systematic review of the efficacy of mobile phone interventions to improve medication adherence. J Adv Nurs. 2014 Sep;70(9):1932–53. doi: 10.1111/jan.12400.
    1. Stawarz K, Cox L, Blandford A. Don't Forget Your Pill!: Designing Effective Medication Reminder Apps That Support Users' Daily Routines. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; CHI'14; April 26-May 1, 2014; Toronto, Ontario, Canada. 2014. pp. 2269–78.
    1. Grindrod KA, Li M, Gates A. Evaluating user perceptions of mobile medication management applications with older adults: a usability study. JMIR Mhealth Uhealth. 2014 Mar 14;2(1):e11. doi: 10.2196/mhealth.3048.
    1. Reeder B, Demiris G, Marek KD. Older adults' satisfaction with a medication dispensing device in home care. Inform Health Soc Care. 2013 Sep;38(3):211–22. doi: 10.3109/17538157.2012.741084.
    1. Lee M, Dey A. Real-Time Feedback for Improving Medication Taking. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; CHI'14; April 26-May 1, 2014; Toronto, Ontario, Canada. 2014. pp. 2259–68.
    1. de Oliveira R, Cherubini M, Oliver N. MoviPill: Improving Medication Compliance for Elders Using a Mobile Persuasive Social Game. Proceedings of the 12th ACM international conference on Ubiquitous computing; UbiComp'10; September 26-29, 2010; Copenhagen, Denmark. 2010. pp. 251–60.
    1. Tschanz M, Dorner Tl, Holm J, Denecke K. Using eMMA to manage medication. Computer. 2018;51(8):18–25. doi: 10.2147/PPA.S85528. doi: 10.1109/MC.2018.3191254.
    1. Lobo J, Ferreira L, Ferreira A. CARMIE: A conversational medication assistant for heart failure. J E-Health Med Commun. 2017;8(4):21–37. doi: 10.4018/ijehmc.2017100102.
    1. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, Robson R, Thabane M, Giangregorio L, Goldsmith CH. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010 Jan 6;10:1. doi: 10.1186/1471-2288-10-1.
    1. Eysenbach G, CONSORT-EHEALTH Group CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923.
    1. Iglesiaa J, Dueñas R, Vilchesa M, Tabernéa C, Colomerc C, Luquec R. Adaptación y validación al castellano del cuestionario de Pfeiffer (SPMSQ) para detectar la existencia de deterioro cognitivo en personas mayores e 65 años. Medicina Clínica. 2001;117(4):129–34. doi: 10.1016/S0025-7753(01)72040-4.
    1. Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986 Jan;24(1):67–74. doi: 10.1097/00005650-198601000-00007.
    1. Lavsa SM, Holzworth A, Ansani NT. Selection of a validated scale for measuring medication adherence. J Am Pharm Assoc (2003) 2011;51(1):90–4. doi: 10.1331/JAPhA.2011.09154.
    1. Orwig D, Brandt N, Gruber-Baldini AL. Medication management assessment for older adults in the community. Gerontologist. 2006 Oct;46(5):661–8. doi: 10.1093/geront/46.5.661.
    1. Giardini A, Martin MT, Cahir C, Lehane E, Menditto E, Strano M, Pecorelli S, Monaco A, Marengoni A. Toward appropriate criteria in medication adherence assessment in older persons: Position Paper. Aging Clin Exp Res. 2016 Jun;28(3):371–81. doi: 10.1007/s40520-015-0435-z.
    1. Wirtz VJ, Reich MR, Flores RL, Dreser A. Medicines in Mexico, 1990-2004: systematic review of research on access and use. Salud Publica Mex. 2008;50(Suppl 4):S470–9. doi: 10.1590/s0036-36342008001000008.
    1. Mahmood A, Elnour AA, Ali AA, Hassan NA, Shehab A, Bhagavathula AS. Evaluation of rational use of medicines (RUM) in four government hospitals in UAE. Saudi Pharm J. 2016 Mar;24(2):189–96. doi: 10.1016/j.jsps.2015.03.003.
    1. Mao W, Vu H, Xie Z, Chen W, Tang S. Systematic review on irrational use of medicines in China and Vietnam. PLoS One. 2015;10(3):e0117710. doi: 10.1371/journal.pone.0117710.
    1. Yen P, Bakken S. Review of health information technology usability study methodologies. J Am Med Inform Assoc. 2012;19(3):413–22. doi: 10.1136/amiajnl-2010-000020.
    1. Montgomery DC. Design And Analysis Of Experiments. Eighth Edition. North Caroline, USA: Wiley; 2012.
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101. doi: 10.1191/1478088706qp063oa.
    1. Stawarz K, Rodríguez MD, Cox AL, Blandford A. Understanding the use of contextual cues: design implications for medication adherence technologies that support remembering. Digit Health. 2016;2:2055207616678707. doi: 10.1177/2055207616678707.
    1. Groth SW. Honorarium or coercion: use of incentives for participants in clinical research. J N Y State Nurses Assoc. 2010;41(1):11–3; quiz 22.
    1. Robiner WN, Flaherty N, Fossum TA, Nevins TE. Desirability and feasibility of wireless electronic monitoring of medications in clinical trials. Transl Behav Med. 2015 Sep;5(3):285–93. doi: 10.1007/s13142-015-0316-1.
    1. Morawski K, Ghazinouri R, Krumme A, McDonough J, Durfee E, Oley L, Mohta N, Juusola J, Choudhry NK. Rationale and design of the Medication adherence Improvement Support App For Engagement-Blood Pressure (MedISAFE-BP) trial. Am Heart J. 2017 Apr;186:40–7. doi: 10.1016/j.ahj.2016.11.007.
    1. Mertens A, Brandl C, Miron-Shatz T, Schlick C, Neumann T, Kribben A, Meister S, Diamantidis CJ, Albrecht U, Horn P, Becker S. A mobile application improves therapy-adherence rates in elderly patients undergoing rehabilitation: A crossover design study comparing documentation via iPad with paper-based control. Medicine (Baltimore) 2016 Sep;95(36):e4446. doi: 10.1097/MD.0000000000004446. doi: 10.1097/MD.0000000000004446.
    1. Perera AI, Thomas MG, Moore JO, Faasse K, Petrie KJ. Effect of a smartphone application incorporating personalized health-related imagery on adherence to antiretroviral therapy: a randomized clinical trial. AIDS Patient Care STDS. 2014 Nov;28(11):579–86. doi: 10.1089/apc.2014.0156.
    1. Patel S, Jacobus-Kantor L, Marshall L, Ritchie C, Kaplinski M, Khurana PS, Katz RJ. Mobilizing your medications: an automated medication reminder application for mobile phones and hypertension medication adherence in a high-risk urban population. J Diabetes Sci Technol. 2013 May 1;7(3):630–9. doi: 10.1177/193229681300700307.
    1. Banning M. A review of interventions used to improve adherence to medication in older people. Int J Nurs Stud. 2009 Nov;46(11):1505–15. doi: 10.1016/j.ijnurstu.2009.03.011.
    1. Williams A, Manias E, Walker R. Interventions to improve medication adherence in people with multiple chronic conditions: a systematic review. J Adv Nurs. 2008 Jul;63(2):132–43. doi: 10.1111/j.1365-2648.2008.04656.x.
    1. Claxton AJ, Cramer J, Pierce C. A systematic review of the associations between dose regimens and medication compliance. Clin Ther. 2001 Aug;23(8):1296–310. doi: 10.1016/s0149-2918(01)80109-0.

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