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Record W2761783485 · doi:10.2196/jmir.7415

HealthyDads.ca: What Do Men Want in a Website Designed to Promote Emotional Wellness and Healthy Behaviors During the Transition to Parenthood?

2017· article· en· W2761783485 on OpenAlexaffabout
Deborah Da Costa, Phyllis Zelkowitz, Nicole Létourneau, Andrew Howlett, Cindy‐Lee Dennis, Brian Russell, Steven A. Grover, Ilka Lowensteyn, Peter Chan, Samir Khalifé

Bibliographic record

VenueJournal of Medical Internet Research · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill University Health CentreUniversity of TorontoAlberta Children's HospitalMcGill UniversityUniversity of CalgaryJewish General HospitalSt Joseph's Health Centre
Fundersnot available
KeywordsPsychological interventionMental healthPsychosocialThe InternetAnxietyPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Up to 18% of men experience depression and/or anxiety during the transition to parenthood. Interventions designed specifically to promote the mental health of men during the transition to parenthood are scarce. Internet-delivered interventions may be acceptable and far-reaching in enhancing mental health, parenting knowledge, and healthy behaviors in expectant or new fathers. OBJECTIVE: To guide the development of Healthydads.ca, a website designed to enhance mental health and healthy behaviors in expectant fathers, a needs assessment was conducted to identify fathers' perspectives of barriers to seeking help for emotional wellness, informational needs, and factors affecting the decision to visit such a website. METHODS: One hundred and seventy-four men whose partners were expecting, or had recently given birth, in 3 Canadian provinces (Quebec, Ontario, and Alberta) completed a Web-based survey inquiring about information needs related to psychosocial aspects of the transition to parenthood, lifestyle behaviors, parenting, and factors associated with the decision to visit a father-focused website. RESULTS: Most men (155/174, 89.1%) reported accessing the Internet to obtain information on pregnancy and spent an average of 6.2 hours online per month. Seeking information about parenting on the Internet was reported by 67.2% (117/174) of men, with a mean of 4.4 hours per month of online searching. Top barriers to seeking help to improve emotional wellness during the perinatal period were: no time to seek help/assistance (130/174, 74.7%), lack of resources available in the health care system (126/174, 72.4%), financial costs associated with services (118/174, 67.8%), and feeling that one should be able to do it alone (113/174, 64.9%). Information needs that were rated highly included: parenting/infant care (52.9-81.6%), supporting (121/174, 69.5%) and improving (124/174, 71.3%) relationship with their partner, work-family balance (120/174, 69.0%), improving sleep (100/174, 57.5%), and managing stress (98/174, 56.3%). Perceiving the website as personally relevant (151/174, 86.8%), credible (141/174, 81.0%), effective (140/145, 80.5%), and having an easy navigation structure (141/174, 81.0%) were identified as important factors related to a first website visit. Providing useful (134/174, 77.0%) and easy to understand (158/174, 90.8%) information, which was also free of charge (156/174, 89.7%), were considered important for deciding to prolong a website visit. Providing the possibility to post questions to a health professional (133/174, 76.4%), adding new content regularly (119/174, 68.4%), and personal motivation (111/174, 63.8%) were factors identified that would encourage a revisit. CONCLUSIONS: Our findings demonstrate that there is substantial interest among expectant and new fathers for using Internet-delivered strategies to prepare for the transition to parenthood and support their mental health. Specific user and website features were identified to optimize the use of father-focused websites.

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 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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.055
GPT teacher head0.433
Teacher spread0.378 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations54
Published2017
Admission routes2
Has abstractyes

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