MyCap: a flexible and configurable platform for mobilizing the participant voice

Harris, Paul A.; Swafford, Jonathan A.; Serdoz, Emily; Eidenmuller, Jessica; Delacqua, Giovanni; Jagtap, Vaishali; Taylor, Robert J.; Gelbard, Alexander; Cheng, Alex; Duda, Stephany N.

doi:10.1093/jamiaopen/ooac047

Cited by 18 publications

(15 citation statements)

References 19 publications

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“…We chose a continuous measure of dosing error because no standardized, clinically meaningful definition of dosing error exists, and this approach best captures the full spectrum of possible dosing errors. Outcomes were collected using MyCap (Vanderbilt University), a Health Insurance Portability and Accountability Act–compliant, participant-facing mobile application for survey data collection and automated administration of study tasks, including transmission of high-resolution images . After enrollment, study staff assisted caregivers in downloading MyCap on their mobile devices and demonstrated how to complete the image upload and follow-up survey.…”

Section: Methodsmentioning

confidence: 99%

Health Literacy–Informed Communication to Reduce Discharge Medication Errors in Hospitalized Children

Carroll,

Johnson,

Stassun

et al. 2024

JAMA Netw Open

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ImportanceInadequate communication between caregivers and clinicians at hospital discharge contributes to medication dosing errors in children. Health literacy–informed communication strategies during medication counseling can reduce dosing errors but have not been tested in the pediatric hospital setting.ObjectiveTo test a health literacy–informed communication intervention to decrease liquid medication dosing errors compared with standard counseling in hospitalized children.Design, Setting, and ParticipantsThis parallel, randomized clinical trial was performed from June 22, 2021, to August 20, 2022, at a tertiary care, US children’s hospital. English- and Spanish-speaking caregivers of hospitalized children 6 years or younger prescribed a new, scheduled liquid medication at discharge were included in the analysis.InterventionsPermuted block (n = 4) randomization (1:1) to a health literacy–informed discharge medication communication bundle (n = 99) compared with standard counseling (n = 99). A study team member delivered the intervention consisting of a written, pictogram-based medication instruction sheet, teach back (caregivers state information taught), and demonstration of dosing with show back (caregivers show how they would draw the liquid medication in the syringe).Main Outcome and MeasuresObserved dosing errors, assessed using a caregiver-submitted photograph of their child’s medication-filled syringe and expressed as the percentage difference from the prescribed dose. Secondary outcomes included caregiver-reported medication knowledge. Outcome measurements were blinded to participant group assignment.ResultsAmong 198 caregivers randomized (mean [SD] age, 31.4 [6.5] years; 186 women [93.9%]; 36 [18.2%] Hispanic or Latino and 158 [79.8%] White), the primary outcome was available for 151 (76.3%). The observed mean (SD) percentage dosing error was 1.0% (2.2 percentage points) among the intervention group and 3.3% (5.1 percentage points) among the standard counseling group (absolute difference, 2.3 [95% CI, 1.0-3.6] percentage points; P &lt; .001). Twenty-four of 79 caregivers in the intervention group (30.4%) measured an incorrect dose compared with 39 of 72 (54.2%) in the standard counseling group (P = .003). The intervention enhanced caregiver-reported medication knowledge compared with the standard counseling group for medication dose (71 of 76 [93.4%] vs 55 of 69 [79.7%]; P = .03), duration of administration (65 of 76 [85.5%] vs 49 of 69 [71.0%]; P = .04), and correct reporting of 2 or more medication adverse effects (60 of 76 [78.9%] vs 13 of 69 [18.8%]; P &lt; .001). There were no differences in knowledge of medication name, indication, frequency, or storage.Conclusions and RelevanceA health literacy–informed discharge medication communication bundle reduced home liquid medication administration errors and enhanced caregiver medication knowledge compared with standard counseling. Routine use of these standardized strategies can promote patient safety following hospital discharge.Trial RegistrationClinicalTrials.gov Identifier: NCT05143047

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Section: Methodsmentioning

confidence: 99%

Health Literacy–Informed Communication to Reduce Discharge Medication Errors in Hospitalized Children

Carroll,

Johnson,

Stassun

et al. 2024

JAMA Netw Open

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“…They will receive detailed instructions on using both devices correctly, including removing them when in contact with water and during contact sports. Participants will also install the MyCap app (Harris et al, 2022), which is used to fill in daily questionnaires and set alarms on their phones as reminders to complete the scheduled questionnaires on the app. Before leaving, participants will complete two questionnaires measuring circadian time and circadian preference (MCTQ and MEQ, respectively).…”

Section: Methodsmentioning

confidence: 99%

“…Finally, only people based at or near (<60 km) the local hubs of each geographical location during the weekdays (Monday to Friday) of the experiment will be accepted for this study to have similar environmental conditions across participants at each measurement hub. All criteria mentioned above for inclusion and exclusion will be assessed by self-report through an online platform developed for this purpose (Research Electronic Data Capture, REDCap; (Harris et al, 2009(Harris et al, , 2019(Harris et al, , 2022). The eligibility criteria used here can be modified for studies in which the goal is to assess a different population.…”

Section: Sample Inclusion and Exclusion Criteriamentioning

confidence: 99%

Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure

Guidolin,

Aerts,

Agbeshie

et al. 2024

Preprint

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Light profoundly impacts many aspects of human physiology and behaviour, including the synchronization of the circadian clock, the production of melatonin, and cognition. These effects of light, termed the non-visual effects of light, have been primarily investigated in laboratory settings, where light intensity, spectrum and timing can be carefully controlled to draw associations with physiological outcomes of interest. Recently, the increasing availability of wearable light loggers has opened the possibility of studying personal light exposure in free-living conditions where people engage in activities of daily living, yielding findings associating aspects of light exposure and health outcomes, supporting the importance of adequate light exposure at appropriate times for human health. However, comprehensive protocols capturing environmental (e.g., geographical location, season, climate, photoperiod) and individual factors (e.g., culture, personal habits, behaviour, commute type, profession) contributing to the measured light exposure are currently lacking. Here, we present a protocol that combines smartphone-based experience sampling (ESM implementing Karolinska Sleepiness Scale, KSS, ratings) and high-quality light exposure data collection at three body sites (near-corneal plane between the two eyes mounted on spectacle, neck-worn pendant/badge, and wrist-worn watch-like design) to capture daily factors related to individuals' light exposure. We will be implement the protocol in an international multi-centre study to investigate the environmental and socio-cultural factors influencing light exposure patterns in Germany, Netherlands, Spain, Sweden, and Turkey (minimum n=15, target n=30 per site, minimum n=75, target n=150 across all sites). With the resulting dataset, lifestyle and context-specific factors that contribute to healthy light exposure will be identified. This information is essential in designing effective public health interventions.

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“…Evaluation is ongoing, and metrics have been published for some innovations, while others are still being tested [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. A TIN Work Group established to develop metrics agreed upon 10 priority metrics and data elements to measure clinical research study performance across the Network.…”

Section: Implementing and Disseminating Operational Innovationsmentioning

confidence: 99%

Development, implementation, and dissemination of operational innovations across the trial innovation network

Palm,

Edwards,

Wieber

et al. 2023

J. Clin. Trans. Sci.

Self Cite

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Improving the quality and conduct of multi-center clinical trials is essential to the generation of generalizable knowledge about the safety and efficacy of healthcare treatments. Despite significant effort and expense, many clinical trials are unsuccessful. The National Center for Advancing Translational Science launched the Trial Innovation Network to address critical roadblocks in multi-center trials by leveraging existing infrastructure and developing operational innovations. We provide an overview of the roadblocks that led to opportunities for operational innovation, our work to develop, define, and map innovations across the network, and how we implemented and disseminated mature innovations.

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MyCap: a flexible and configurable platform for mobilizing the participant voice

Cited by 18 publications

References 19 publications

Health Literacy–Informed Communication to Reduce Discharge Medication Errors in Hospitalized Children

Health Literacy–Informed Communication to Reduce Discharge Medication Errors in Hospitalized Children

Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure

Development, implementation, and dissemination of operational innovations across the trial innovation network

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