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Record W4389448325 · doi:10.53350/pjmhs2023176301

Assessing Public Awareness of the Knowledge and Clubfoot about the Importance of the Treatment of Early Childhood

2023· article· en· W4389448325 on OpenAlexaff
Babar Shahzad Sadiq, Asghar Khan, Mubashir Hassan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsClubfootMedicineFamily medicineTest (biology)PopulationPublic healthPediatricsSurgeryEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Background: With early attention, clubfoot is a disorder that can be treated and managed. However, a lack of knowledge regarding clubfoot among the general public may result in a delay in receiving treatment. Methods: This cross-sectional study was conducted with survey poll included Hazara Division (Abbottabad, Mansehra, Haripur, Battagram, Upper Kohistan, Kolai-Palas, Lower Kohistan) residents and lasted six-months, from June 2022 to December 2022. The population of this study was the all participants who faced the issues of prognosis, and clubfoot and online survey was created by orthopedic specialists to gather information on the public knowledge of treatment options, prognosis, and clubfoot risk factors. Regardless of whether they were familiar with someone who had clubfoot, the target demographic was made up of persons from all age groups and both sexes in the general community. A team of orthopaedic specialists created a questionnaire to gather information on the general public's knowledge of clubfoot risk factors, treatments, and prognoses. Pilot research using the sample of the 80 individuals who aren’t the part of main study was used to undertake initial evaluation of the questionnaire. Based on the comments from pilot test, questionnaire was modified. The data was obtained from selected participants and data was analyzed in SPSS. Results: The online survey was finished by 746 individuals by the end of the research period from June 2022 to December 2022. A total of 520 respondents (69.7%) said they were unaware of clubfoot syndrome. 40 (5.4%) participants had a child having clubfoot syndrome, and the 34 (4.6 percent) were informed of the clubfoot since they themselves had a child with condition. Social media platforms were the most often used resource by respondents 284 (38.1%) for learning about clubfoot, followed by family and friends 148 (19.9 percent). Hereditary and genetic problems 435 (58.4%) and neurological abnormalities were the most commonly cited causes of clubfoot 297 (39.9 percent). Practical implication: The current study was employed to determine how well the general population understood clubfoot and the benefits of early therapeutic intervention. Conclusions: The findings indicate that there is little awareness of the clubfoot, which may be a result of a dearth of awareness programmes. In order to encourage patients to seek early treatment, we advise raising awareness of clubfoot using social media and open campaigns in the strategic locations, such as malls. This is vital since earlier treatment of the clubfoot is less intrusive and the results in the better patient’s results when accompanied with regular follow-up. Keywords: Awareness, Clubfoot, Perception, Congenital deformity, Foot deformity, Talipes equinovarus

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.322
Teacher spread0.278 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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