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The peril of self-reported adherence in digital interventions: A brief example.

ABSTRACT: Adherence is an important predictor of intervention outcomes, but not all measures of adherence are created equally. Here, we analyzed whether there was a discrepancy between self-report adherence and objective adherence in a digital mindfulness meditation randomised, controlled trial. A sample of 174 young adult undergraduate university students trialled either an app-based or email-based mindfulness meditation program (or an app-based attention control). Participants' adherence (number of sessions completed) and mental health was self-reported. Objective adherence data were provided by the owners of the digital mindfulness programs. We found evidence of inflated self-reported adherence to the app-based intervention and argue that the inflation was not explained by social desirability biases because participants were aware we would have access to object data and no remuneration was tied to adherence. We also comment on the different conclusions we would have drawn about the effectiveness of the digital interventions on mental health, had we used the self-reported adherence data rather than the objective adherence data. We use this example to suggest that it may be perilous to rely on self-reported measures of adherence when assessing the effectiveness of digital interventions.

SUBMITTER: Flett JAM

PROVIDER: S-EPMC6926264 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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The peril of self-reported adherence in digital interventions: A brief example.

Flett Jayde A M JAM Fletcher Benjamin D BD Riordan Benjamin C BC Patterson Tess T Hayne Harlene H Conner Tamlin S TS

Internet interventions 20190823

Adherence is an important predictor of intervention outcomes, but not all measures of adherence are created equally. Here, we analyzed whether there was a discrepancy between self-report adherence and objective adherence in a digital mindfulness meditation randomised, controlled trial. A sample of 174 young adult undergraduate university students trialled either an app-based or email-based mindfulness meditation program (or an app-based attention control). Participants' adherence (number of sess ...[more]

PMID: 31890620

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Project description:BackgroundData-driven trajectory modeling is a promising approach for identifying meaningful participant subgroups with various self-monitoring (SM) responses in digital lifestyle interventions. However, there is limited research investigating factors that underlie different subgroups. This qualitative study aimed to investigate factors contributing to participant subgroups with distinct SM trajectory in a digital lifestyle intervention over 6 months.MethodsData were collected from a subset of participants (n = 20) in a 6-month digital lifestyle intervention. Participants were classified into Lower SM Group (n = 10) or a Higher SM (n = 10) subgroup based on their SM adherence trajectories over 6 months. Qualitative data were obtained from semi-structured interviews conducted at 3 months. Data were thematically analyzed using a constant comparative approach.ResultsParticipants were middle-aged (52.9 ± 10.2 years), mostly female (65%), and of Hispanic ethnicity (55%). Four major themes with emerged from the thematic analysis: Acceptance towards SM Technologies, Perceived SM Benefits, Perceived SM Barriers, and Responses When Facing SM Barriers. Participants across both subgroups perceived SM as positive feedback, aiding in diet and physical activity behavior changes. Both groups cited individual and technical barriers to SM, including forgetfulness, the burdensome SM process, and inaccuracy. The Higher SM Group displayed positive problem-solving skills that helped them overcome the SM barriers. In contrast, some in the Lower SM Group felt discouraged from SM. Both subgroups found diet SM particularly challenging, especially due to technical issues such as the inaccurate food database, the time-consuming food entry process in the Fitbit app.ConclusionsThis study complements findings from our previous quantitative research, which used data-drive trajectory modeling approach to identify distinct participant subgroups in a digital lifestyle based on individuals' 6-month SM adherence trajectories. Our results highlight the potential of enhancing action planning problem solving skills to improve SM adherence in the Lower SM Group. Our findings also emphasize the necessity of addressing the technical issues associated with current diet SM approaches. Overall, findings from our study may inform the development of practical SM improvement strategies in future digital lifestyle interventions.Trial registrationThe study was pre-registered at ClinicalTrials.gov (NCT05071287) on April 30, 2022.

Project description:BACKGROUND: Chronically ill children and adolescents comprise a vulnerable population that requires specific considerations in order to positively impact their treatment outcome. Pediatric renal patients can be non-compliant and also forgetful in taking their medications. OBJECTIVE: The objectives of the study were to (a) assess medication adherence and (b) to identify emotionality and variables that influence non-adherence by use of "The Child & Adolescent Adherence to Medication Questionnaire" (CAAMQ), which was constructed at Texas Tech University Health Sciences Center. METHODS: Pediatric renal patients from 10 to 21 years-of-age, taking three or more medications, for longer than a three-month period, were eligible to complete the CAAMQ. RESULTS: Thirty-four patients participated in the study. Many of the respondents had problems remembering to take their medications on weekends (P = 0.021). The majority of the patients stated that they were not bothered about having to take their medications (70.6%); and that taking pills did not interfere with their daily activities (85.3%). Open-ended questions in the CAAMQ identified patients' feelings of sadness, distress, and the importance of strong family support systems. The study participants reported that they preferred to take their medications at school, in the nurses' office or in a place where privacy was assured. The results indicated that Prednisone was the most disliked of all of the medications. Female patients were more reactive and secretive than males regarding peers knowing about their disease and medication schedules (P<0.017). CONCLUSIONS: Non-adherence in pediatric patients is a complex and serious problem, which ultimately affects the patients' health. Privacy and daily routine were found to impact the patients' adherence to medications. Creative and individualized reminders for teenagers need to be developed and validated. Further studies that take into consideration developmental and motivational factors may help researchers identify modifiable psychosocial predictors that will lead to improved medication adherence.

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The peril of self-reported adherence in digital interventions: A brief example.

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The peril of self-reported adherence in digital interventions: A brief example.

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