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Record W2135778974 · doi:10.12968/bjom.2011.19.1.49

Using service-users' views to design a maternal obesity intervention

2011· article· en· W2135778974 on OpenAlex
Nina Khazaezadeh, Hannah Pheasant, Susan Bewley, Abdu Mohiddin, Eugene Oteng‐Ntim

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

VenueBritish Journal of Midwifery · 2011
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsIntervention (counseling)Psychological interventionFocus groupObesityMedicineService (business)Childhood obesityPopulationPsychologyNursingGerontologyEnvironmental healthBusinessOverweight

Abstract

fetched live from OpenAlex

Obesity is increasingly a matter of concern in the general population, but maternal obesity has received limited emphasis compared to adult and childhood obesity. In addition there is a lack of evidence regarding service users' views. A qualitative study was conducted to identify and understand the health-care needs of service users in Lambeth in south-east London. Semi-structured interviews were conducted with six obese pregnant women and three obese women trying to conceive. The lack of awareness of obesity as well as the lack of existing services was acknowledged. The need to develop and implement evidence-based care pathways which focus on improving the identification and management of obesity and include a community-based multi-component, and culturally sensitive intervention was recommended. This feasibility study has highlighted key issues raised by women given the limited evidence of effectiveness around interventions for this target group.

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)0.001
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 score0.778
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.157
GPT teacher head0.339
Teacher spread0.182 · 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