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Record W4402126435 · doi:10.31219/osf.io/vaw3d

Parent and Caregiver Preferences for eHealth Programs

2024· preprint· en· W4402126435 on OpenAlexaboutno aff
Nicole Tongol, Robert J. W. McHardy, Kaeley M. Simpson, Kailey Elena Penner, Charlie Rioux, Emily E. Cameron, Ryan J. Giuliano, Lianne Tomfohr‐Madsen, Ashley Stewart-Tufescu, Tracie O. Afifi, Tasmia Hai, Leslie E. Roos

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthCoachingEthnic groupPsychologyDuration (music)PreferenceMedical educationDescriptive statisticsApplied psychologyMedicine

Abstract

fetched live from OpenAlex

Background: Online programs serve as an important avenue for delivering mental health and parenting services worldwide. The quantity of online programs proliferated during the COVID-19 pandemic with developers emphasizing the potential to improve accessibility and reduce barriers of in-person programming (e.g., arranging transportation, childcare, and scheduling). However, Canadian parents’ and caregivers' preferences for features they desire in online family mental health supports are unknown. Understanding these preferences would better allow for the creation of programs that are best suited to meet parents’ needs. Thus, the present study examined parent program preferences, barriers to access, and how different sociodemographic factors predicted preferences for aspects such as program features (e.g., duration delivery format).Methods: Self-report surveys were administered in 2023 via the online crowdsourcing platform AskingCanadians to parents and primary caregivers of children ages 0 to 5 years. Descriptive statistics examined parent program preferences and barriers. Regression models examined sociodemographic predictors of these preferences and barriers.Results: Participants identified a range of preferences across program structure and coaching, as well as challenges associated with program access. Parents most preferred programs with a web-based delivery format (72%), a duration of 2-4 weeks (27%), and psychologists as program coaches (51.4%). The most highly endorsed barriers were lack of time (42.2%) and limited internet access (25.1%). Sociodemographic factors including parent gender, household income, education, and ethnicity also consistently predicted preference for various program characteristics. Conclusions: This research provides an important first step toward creating more accessible online mental health and parenting programs by ensuring the voices of the parents who will use these services are heard in program development and adaptation. Future research should investigate how to address accessibility and inclusivity barriers to participating in parent programs for diverse families based on their differential preferences.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.077
GPT teacher head0.367
Teacher spread0.290 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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