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Record W2760240026 · doi:10.1111/apa.14101

Families’ perceived benefits of home visits for managing paediatric obesity outweigh the potential costs and barriers

2017· article· en· W2760240026 on OpenAlexafffundabout
Nicole D. Gehring, Geoff D.C. Ball, Arnaldo Perez, Nicholas L. Holt, Daniel Neuman, Nicholas D. Spence, Laura Mercier, Mary Jetha

Bibliographic record

VenueActa Paediatrica · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsStollery Children's HospitalAlberta Health ServicesUniversity of Alberta
FundersStollery Children’s Hospital FoundationWomen and Children's Health Research Institute
KeywordsMedicineAttritionPsychological interventionWeight managementMultidisciplinary approachFamily medicineWeight lossChildhood obesityObesityNursingOverweight

Abstract

fetched live from OpenAlex

AIM: Home visits have successfully been used to deliver various health services, but what role could they play in paediatric weight management? Low treatment initiation and high attrition prompted our multidisciplinary paediatric weight management clinic to investigate how families perceived the benefits and barriers of home visits. METHODS: We focused on children with obesity aged 2-17 who were enrolled in our tertiary-level clinic in Alberta, Canada. None had received a home visit. The families were interviewed face-to-face from October 2015 to October 2016, and we used a qualitative description methodological framework and manifest content analysis. The parents were the main interviewees. RESULTS: Of the 56 families, 89% were interested in a home visit, 82% wanted support from a dietician and 54% from an exercise specialist. The perceived benefits of home visits included comprehensive assessment (95%), convenience (86%), tailored care (29%) and family involvement (13%), while the costs and barriers included clinicians' potential judgmental attitudes (30%), loss of privacy (19%) and distractions (10%). Some thought clinicians would find home visits inconvenient (25%), with bureaucratic challenges (14%) and sustainability issues (5%). CONCLUSION: Families felt home visits were a convenient option for managing paediatric obesity and identified important benefits and barriers that could guide such interventions.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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

Citations14
Published2017
Admission routes3
Has abstractyes

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