Dataset Information

Usage Patterns of an mHealth Symptom Monitoring App Among Adolescents With Acute Mild Traumatic Brain Injuries.

ABSTRACT:

Objective

To understand usage patterns of SMART (Self-Monitoring Activity Regulation and Relaxation Treatment) mHealth app among adolescents with acute mild traumatic brain injuries (mTBIs) and to identify individual characteristics that influenced app usage.

Methods

Setting

Emergency departments of tertiary care children's medical center.

Participants

Children aged 11 to 18 years with mTBI in the past 2 weeks, English-speaking, no evidence of severe TBI, and no preexisting neurological impairment.

Design

Nested cohort of the intervention arm of a randomized clinical trial (n = 34).

Mhealth app intervention

SMART was a month-long educational program on mTBI designed to promote self-monitoring and management of recovery. SMART included digital symptom and activity self-monitoring surveys, feedback on symptom changes, and 8 modules providing psychoeducation, strategies for symptom management, and training in active problem solving.

Main measures

App usage time, navigation, and interaction data were automatically collected. Usage involved inputting symptom ratings/activities and reviewing modules. Patterns of symptom/activity reporting and completion of learning modules data were analyzed. Predictors of app utilization, including individual characteristics, resilience (Connor-Davidson Resilience Scale), and coping (Coping Strategies Inventory-Short Form), were analyzed using Spearman correlations.

Results

Participants completed symptom monitoring an average of 9 days over the month. Participants completed an average of 1.87 learning modules out of 7. Parent income and education, comorbid attention-deficit/hyperactivity disorder (ADHD), and emotional engagement coping style predicted symptom monitoring. Parental income, comorbid ADHD, and greater reliance on emotional engagement coping predicted module completion.

Significant adverse events

None.

Conclusion

Adolescents of higher socioeconomic status and those who manage their emotions using active engagement spent more time on both components of the SMART program.

SUBMITTER: Schmidt M

PROVIDER: S-EPMC9203862 | biostudies-literature | 2022 May-Jun 01

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Usage Patterns of an mHealth Symptom Monitoring App Among Adolescents With Acute Mild Traumatic Brain Injuries.

Schmidt Matthew M Babcock Lynn L Kurowski Brad G BG Cassedy Amy A Sidol Craig C Wade Shari L SL

The Journal of head trauma rehabilitation 20220201 3

<h4>Objective</h4>To understand usage patterns of SMART (Self-Monitoring Activity Regulation and Relaxation Treatment) mHealth app among adolescents with acute mild traumatic brain injuries (mTBIs) and to identify individual characteristics that influenced app usage.<h4>Methods</h4><h4>Setting</h4>Emergency departments of tertiary care children's medical center.<h4>Participants</h4>Children aged 11 to 18 years with mTBI in the past 2 weeks, English-speaking, no evidence of severe TBI, and no pre ...[more]

PMID: 35125434

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Project description:BackgroundMillions of Americans experience traumatic orthopaedic injuries (TOIs) annually. Post-injury symptoms of acute stress disorder (ASD), anxiety, depression, pain, and sleep disturbance are common. Symptoms often present in clusters. Symptom cluster profiles phenotypically characterize TOI survivors' experiences with clustered symptoms. Expression of brain-derived neurotrophic factor (BDNF) may contribute to the biological underpinnings of symptom cluster profile membership.MethodsWe recruited hospitalized TOI survivors within 72 hours of injury. We measured symptoms of ASD with the Acute Stress Disorder Scale and symptoms of anxiety, depression, pain, and sleep disturbance with Patient-Reported Outcomes Measurement Information System (PROMIS) short forms. We measured serum BDNF concentrations with enzyme-linked immunosorbent assay (ELISA) and identified rs6265 genotypes with TaqMan real-time PCR. We performed latent profile analysis to identify the symptom cluster profiles. We identified the variables associated with symptom cluster profile membership with unadjusted and adjusted multinomial logistic regression.ResultsWe identified 4 symptom cluster profiles characterized by symptom severity that we labelled Physical Symptoms Only, and Mild, Moderate, and Severe Psychological Distress. Age, self-identified Black race, resilience, and serum BDNF concentrations were associated with lower odds, and female sex with higher odds, of being in the Psychological Distress clusters. Clinical characteristics and rs6265 genotypes were not associated with symptom cluster profile membership.ConclusionTOI survivors experience distinct symptom cluster profiles. Sociodemographic characteristics and serum BDNF concentrations, not clinical characteristics, were associated with symptom cluster profile membership. These findings support comprehensive symptom screening and treatment for all TOI survivors and further evaluating BDNF as a biomarker of post-injury symptom burden.

Project description:The high prevalence of traumatic brain injuries (TBI) among adolescents has brought much focus to this area in recent years. Sports injuries have been identified as a main mechanism. Although energy drinks, including those mixed with alcohol, are often used by young athletes and other adolescents they have not been examined in relation to TBI.We report on the prevalence of adolescent TBI and its associations with energy drinks, alcohol and energy drink mixed in with alcohol consumption.Data were derived from the Centre for Addiction and Mental Health's 2013 Ontario Student Drug Use and Health Survey (OSDUHS). This population-based cross-sectional school survey included 10,272 7th to 12th graders (ages 11-20) who completed anonymous self-administered questionnaires in classrooms.Mild to severe TBI were defined as those resulting in a loss of consciousness for at least five minutes, or being hospitalized for at least one night. Mechanism of TBI, prevalence estimates of TBI, and odds of energy drink consumption, alcohol use, and consumption of energy drinks mixed with alcohol are assessed.Among all students, 22.4% (95% CI: 20.7, 24.1) reported a history of TBI. Sports injuries remain the main mechanism of a recent (past year) TBI (45.5%, 95% CI: 41.0, 50.1). Multinomial logistic regression showed that relative to adolescents who never sustained a TBI, the odds of sustaining a recent TBI were greater for those consuming alcohol, energy drinks, and energy drinks mixed in with alcohol than abstainers. Odds ratios were higher for these behaviors among students who sustained a recent TBI than those who sustained a former TBI (lifetime but not past 12 months). Relative to recent TBI due to other causes of injury, adolescents who sustained a recent TBI while playing sports had higher odds of recent energy drinks consumption than abstainers.TBI remains a disabling and common condition among adolescents and the consumption of alcohol, energy drinks, and alcohol mixed with energy drinks further increase the odds of TBI among adolescents. These associations warrant further investigation.

Project description:BackgroundSymptom checker apps (SCA) aim to enable individuals without medical training to classify perceived symptoms and receive guidance on appropriate actions, such as self-care or seeking professional medical attention. However, there is a lack of detailed understanding regarding the contexts in which individuals use SCA and their opinions on these tools.ObjectiveThis mixed methods study aims to explore the circumstances under which medical laypeople use SCA and to identify which aspects users find noteworthy after using SCA.MethodsA total of 48 SCA users documented their medical symptoms, provided open-ended responses, and recorded their SCA use along with other variables over 6 weeks in a longitudinal study. Generalized linear mixed models with and those without regularization were applied to consider the hierarchical structure of the data, and the models' outcomes were evaluated for comparison. Qualitative data were analyzed through Kuckartz qualitative content analysis.ResultsSignificant predictors of SCA use included the initial occurrence of symptoms, day of measurement (odds ratio [OR] 0.97), self-rated health (OR 0.80, P<.001), and the following International Classification in Primary Care-2-classified symptoms, that are general and unspecified (OR 3.33, P<.001), eye (OR 5.56, P=.001), cardiovascular (OR 8.33, P<.001), musculoskeletal (OR 5.26, P<.001), and skin (OR 4.76, P<.001). The day of measurement and self-rated health showed minor importance due to their small effect sizes. Qualitative analysis highlighted four main themes: (1) reasons for using SCA, (2) diverse affective responses, (3) a broad spectrum of behavioral reactions, and (4) unmet needs including a lack of personalization.ConclusionsThe emergence of new and unfamiliar symptoms was a strong determinant for SCA use. Specific International Classification in Primary Care-rated symptom clusters, particularly those related to cardiovascular, eye, skin, general, and unspecified symptoms, were also highly predictive of SCA use. The varied applications of SCA fit into the concept of health literacy as bricolage, where SCA is leveraged as flexible tools by patients based on individual and situational requirements, functioning alongside other health care resources.

Project description:BackgroundChronic pain is a common problem in adolescents that can negatively impact all aspects of their health-related quality of life. The developmental period of adolescence represents a critical window of opportunity to optimize and solidify positive health behaviors and minimize future pain-related disability and impaired work productivity. This research focuses on the development and evaluation of a smartphone-based pain self-management app for adolescents with chronic pain.ObjectiveThe objectives of this study were to characterize (1) the feasibility of deploying a mobile health (mHealth) app (iCanCope) to the personal smartphones of adolescent research participants; (2) adherence to daily symptom tracking over 55 consecutive days; (3) participant interaction with their symptom history; and (4) daily pain-related experiences of adolescents with chronic pain.MethodsWe recruited adolescents aged 15-18 years from 3 Canadian pediatric tertiary care chronic pain clinics. Participants received standardized instructions to download the iCanCope app and use it once a day for 55 days. Detailed app analytics were captured at the user level. Adherence was operationally defined as per the relative proportion of completed symptom reports. Linear mixed models were used to examine the trajectories of daily symptom reporting.ResultsWe recruited 60 participants between March 2017 and April 2018. The mean age of the participants was 16.4 (SD 0.9) years, and 88% (53/60) of them were female. The app was deployed to 98% (59/60) devices. Among the 59 participants, adherence was as follows: low (4, 7%), low-moderate (14, 24%), high-moderate (16, 27%), and high (25, 42%). Most (49/59, 83%) participants chose to view their historical symptom trends. Participants reported pain intensity and pain-related symptoms of moderate severity, and these ratings tended to be stable over time.ConclusionsThis study indicates that (1) the iCanCope app can be deployed to adolescents' personal smartphones with high feasibility; (2) adolescents demonstrated moderate-to-high adherence over 55 days; (3) most participants chose to view their symptom history; and (4) adolescents with chronic pain experience stable symptomology of moderate severity.Trial registrationClinicalTrials.gov NCT02601755; https://clinicaltrials.gov/ct2/show/NCT02601755 (Archived by WebCite at http://www.webcitation.org/74F4SLnmc).

Project description:BackgroundAlthough mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time.ObjectiveWe used a case management approach led by a nurse and supported by a health-social partnership team with the aim of sustaining app usage among community-dwelling older adults and evaluated the outcome differences (i.e, self-efficacy, levels of depression, and total health service usages) between those who continued to use the app.MethodsThis was a 3-arm randomized controlled trial. A total of 221 older adults with hypertension, diabetes, or chronic pain were randomized into 3 groups: mHealth (n=71), mHealth with interactivity (mHealth+I; n=74), and the control (n=76). The mHealth application was given to the mHealth and mHealth+I groups. The mHealth+I group also received 8 proactive calls in 3 months from a nurse to encourage use of the app. The control group received no interventions. Data were collected at preintervention (T1), postintervention (T2), and at 3 months' postintervention (T3) to ascertain the sustained effect.ResultsA total of 37.8% of mHealth+I and 18.3% of mHealth group participants continued using the mHealth app at least twice per week until the end of the sixth month. The difference in app usage across the 2 groups between T2 and T3 was significant (χ21=6.81, P=.009). Improvements in self-efficacy (β=4.30, 95% CI 0.25-8.35, P=.04) and depression levels (β=-1.98, 95% CI -3.78 to -0.19, P=.03) from T1 to T3 were observed in the mHealth group participants who continued using the app. Although self-efficacy and depression scores improved from T1 to T2 in the mHealth+I group, the mean values decreased at T3. Health service usage decreased for all groups from T1 to T2 (β=-1.38, 95% CI -1.98 to -0.78, P<.001), with a marginal increase at T3.ConclusionsThe relatively low rates of mHealth app usage at follow-up are comparable to those reported in the literature. More work is needed to merge the technology-driven and in-person aspects of mHealth.Trial registrationClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212.International registered report identifier (irrid)RR2-10.1159/000509129.

Dataset Information

Usage Patterns of an mHealth Symptom Monitoring App Among Adolescents With Acute Mild Traumatic Brain Injuries.

Objective

Methods

Setting

Participants

Design

Mhealth app intervention

Main measures

Results

Significant adverse events

Conclusion

Publications

Usage Patterns of an mHealth Symptom Monitoring App Among Adolescents With Acute Mild Traumatic Brain Injuries.

Similar Datasets

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