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Background: Problems with prospective memory, which refer 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, the investigators of this study propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines. To reach this end, the Medication Ambient Display (MAD) was developed. It is a system that unobtrusively presents relevant information unless it requires the users' attention, It 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 MAD on medication adherence in older adults. The study aimed to address the following research questions:
Methods: A total of 16 older adults, who took at least three medications and had mild cognitive impairment, participated in the study. It was a 17-week feasibility study in which we used a mixed-methods approach to collect qualitative and quantitative evidence. The study included participants' recruitment, 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). Research assistants measured medication adherence weekly through the pill counting technique. Qualitative evidence about the system's adoption was collected through semi-structured interviews. Participants of the treatment group were interviewed regarding the system's functionalities that they perceived as most useful, less useful, and the difficulties faced while using it.
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Introduction
One of the most common reasons for medication nonadherence among older adults is forgetfulness. Medication management technologies can help them not only with forgetfulness or cognitive impairment but also with other reasons that contribute to the lack of adherence to medications, such as polypharmacy (ie, the self-administration of multiple drugs). Research has also shown that the use of external cues supports the automatic recovery of a planned action. Therefore, this study proposes to support external cues through a tablet-based ambient display designed to increase the retrieval process of the planned action (ie, taking medications) and to provide awareness of adherence behavior. To reach this end, the Medication Ambient Display (MAD) was developed.
An ambient display unobtrusively presents relevant information unless it requires the users' attention. In addition, users can easily monitor the display to obtain the desired information because it uses abstract modalities to represent information, such as pictures, sounds, and movement. Thus, different abstract modalities to provide external cues that enable older adults to easily obtain relevant information to take their medications on time and be aware of their medication adherence.
MAD was implemented for Android tablets to be placed as portrait frames in the older adults' homes and to provide the following external cues:
In this study, the effect of the use of the above-mentioned approach was assessed by using objective medication adherence measures. Moreover, qualitative findings were obtained about the adoption of the MAD.
Study flow
2.a. Participant recruitment
For recruiting participants, research assistants (students of the Nursing Faculty) contacted older adults affiliated in the Comunity Center of the University, in which students and academic personnel offer older adults social and health-care services. To recruit participants, research assistants administered a set of instruments to assess which older adults met the eligibility criteria. The instruments used were the Short Portable Mental State Questionnaire, the Medication Management Instrument for Deficiencies in the Elderly, and the 8-item Medication Adherence Questionnaire, also known as Morisky scale. Relatives of older adults were interviewed to identify their role in helping older adults follow their medication routine. Older adults who met the eligibility criteria and expressed their interest to participate were enrolled in the study. The recruitment procedure lasted approximately 5 weeks (weeks 1-5).
2.b. Pre-Intervention activities
Baseline data were collected during weeks 6 to 10 on medication adherence by using the pill counting technique. Research assistants noticed that participants accumulated containers with the same medications. Under those circumstances, seniors were provided with a basket to arrange the medications that should be taken each week, which facilitated data collection for measuring the Dosage_pill adherence outcome.
2.c. Intervention activities
Research assistants made a random and blind allocation of the participants to the treatment group (TG) and the control group (CG). On the first day of the intervention phase, research assistants visited older adults in the TG to introduce the MAD in the presence of caregivers by using the spaced retrieval approach, that is, teach, ask, wait, ask again, wait, and ask again. After the completion of the training session, which lasted 40 minutes approximately, the MAD was personalized according to the participant's prescriptions and through discussions with the participants on an appropriate schedule for presenting the reminders. Afterward, the MAD was placed in the area of participants' homes where they usually reported taking medications, mostly the kitchen, living room, and bedroom. The intervention phase lasted 5 weeks, during which research assistants visited participants to collect data on medication adherence (from both the TG and the CG) and system adoption (from the TG).
2.d. Postintervention activities
After the intervention was completed, MAD was removed from the participants' homes. Research assistants then carried out weekly visits (weeks 16-17) to older adults from the TG to collect data through semi-structured interviews about how MAD affected their medication routine and adherence.
A set of variables were identified as relevant for analyzing the effect of the external cues provided by the MAD on the participants' medication adherence, such as dosage and timely variables, which were used to address research question 1.
During the intervention phase, qualitative evidence about the system's adoption was collected to address research question 2. The interview included questions regarding the system's functionalities that the TG's participants perceived as most useful, less useful, and the difficulties faced while using it. Similarly, at the end of the postintervention stage, TG's participants were interviewed to obtain their perceptions of how withdrawal from the MAD impacted their medication adherence. In addition, caregivers were interviewed to obtain information on their involvement in the seniors' medication activities. The questions centered on the specific activities associated with the older adults' medication regimens that caregivers were involved in and how they knew if older adults took their pills in a given week.
Student t tests and chi-square tests were used to measure the statistical difference in age, the number of prescribed medicines, and self-reported medication adherence between the TG and the CG. A one-way repeated measure analysis of variance (ANOVA), dependent t tests, and independent t tests were used to find significant differences in medication adherence between the study phases and between the TG and the CG. The McNemar test was used to verify differences within the TG between the self-reported medication adherence in the recruitment and intervention phases. To determine whether any of the differences between the means estimated are statistically significant, the P value was compared with a significance level set to .05.
For the qualitative analysis, the collected data were transcribed from their original Spanish version, that is, audio and handwritten notes. The thematic analysis approach was followed which consists of generating initial codes from the data, searching for potential themes, contrasting the identified themes with the data, and iteratively refining them.
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To participate in the study, it was not a requirement that older adults have experience in the use of the internet or mobile devices.
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16 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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