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Record W3194546753 · doi:10.1037/cpp0000400

Evaluating the Feasibility of the ABCs of SLEEPING Mobile Application: Exploring Implementation, Acceptability, and Limited Efficacy

2021· article· en· W3194546753 on OpenAlex
Elizabeth Keys, Penny Corkum

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Practice in Pediatric Psychology · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

Objective: Behaviourally based sleep problems are common among school-age children. Due to a number of barriers, few children receive evidence-based behavioural interventions for their sleep problems. The ABCs of SLEEPING mobile application was developed to provide parents with individualized and prioritized evidence-based sleep recommendations. Method: The current study assessed the feasibility of the intervention using a cohort pretest posttest design. Acceptability was assessed by collecting parent ratings of satisfaction/suitability and qualitative feedback through open-ended questions. Implementation was assessed weekly for 4 weeks to examine if the intervention was used as intended. Preliminary-efficacy was explored by assessing changes in children’s sleep and bedtime behaviours using parent report. Results: Parents generally reported satisfaction with the each of the three intervention components (questionnaire, report, and tips) and suitability of the tips for their child’s age and sleep problems. Descriptive statistics of the implementation data revealed parents did not use the intervention as much as intended. Content analysis of the qualitative data indicated that some changes to the intervention are needed (e.g., reminders to implement). Statistically significant evidence for preliminary-efficacy was found based on parent-reported questionnaires, but sleep was not normalized. Conclusion: The results indicate that while the ABCs of SLEEPING mobile application was found to have a moderate level of feasibility, it is not yet ready for large-scale testing. Future research should focus on modifying the intervention to imbed features to support implementation of the intervention. Implications for Impact Statement In this study we describe the feasibility testing of a smartphone-application designed to improve access to individualized information about sleep and healthy sleep practices entitled “ The ABCs of SLEEPING .” Our results demonstrated its acceptability and preliminary efficacy; however, the app was not implemented daily as intended. This research also demonstrates the importance of evaluating interventions for the end-user.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.064
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.064
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.565
GPT teacher head0.641
Teacher spread0.075 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it