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Hip Surveillance is Important to Children with Cerebral Palsy: Stop Waiting, Start Now

2019· editorial· en· W2989876494 on OpenAlexaffabout
Stacey Miller, Benjamin J. Shore, Kishore Mulpuri

Bibliographic record

VenueJAAOS Global Research and Reviews · 2019
Typeeditorial
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsBC Children's HospitalObject Research Systems (Canada)
Fundersnot available
KeywordsCerebral palsyMedicinePopulationDisplacement (psychology)Physical therapyPsychologyEnvironmental health

Abstract

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One in three children with cerebral palsy (CP) will develop hip displacement.1,2 Displacement is often silent, with no clinical symptoms. Left undetected and untreated, displacement can progress to dislocation and cause pain and decreased quality of life.3,4 Population-based hip surveillance programs for children with CP are effective in preventing hip dislocations in children with CP.5,6 Programs in Sweden and Australia have demonstrated that systematic screening can identify hip displacement early and, when combined with timely orthopaedic management, reduce the prevalence of hip dislocations in children with CP.5,6 The development of such programs is complex with implementation highly dependent on the local system of care for children with CP. Population-based programs should always be the aim of hip surveillance initiatives, but the challenge of designing a system-wide approach should not discourage individuals from acting. All clinicians should be following guidelines within their individual practice. Despite the awareness that surveillance is effective, established guidelines for hip surveillance are underutilized. A 2016 survey of the Pediatric Orthopaedic Society of North America membership found widespread agreement that a dislocated hip in a child with CP should be prevented by hip surveillance (93%), yet only a small proportion (18%) followed a regular surveillance program.7 In 2017, the American Academy of Cerebral Palsy and Developmental Medicine released a hip surveillance care pathway that was developed by a group of international experts (AACPDM.org [Internet]. Wilwaukee, WI, AACPDM, c2017. http://www.aacpdm.org/publications/care-pathways/hip-surveillance). The resultant pathway represents the consensus reached on the recommended components of surveillance, frequency, and referral criteria. Using such resources is a good starting point to initiate hip surveillance and can have an immediate impact. Notably, the authors from the Child Health BC Hip Surveillance Program saw a difference in the rate of dislocations and surgical interventions required once a systematic approach to hip surveillance was established in their center, even before a formal program was initiated (Child Health BC Hip Surveillance Program for Children with Cerebral Palsy [Internet]. Vancouver, BC, Child Health BC, c2018. www.childhealthbc.ca/hips). The introduction of mobile solutions, such as the HipScreen app (www.hipscreen.org, Shriners Hospitals for Children, Sacramento, California), makes hip surveillance resources and guidelines readily accessible in a busy clinical practice. Patients and families are strong advocates for system change and should be educated on hip displacement and the importance of hip screening. Similarly, every opportunity should be undertaken to educate the team of clinicians within one's healthcare system that support children with CP, including pediatricians, physical and occupational therapists, nurses, and social workers. All can become advocates for hip health in this population and collaborate to implement systematic screening. Just like the Australasian Academy of Cerebral Palsy and Developmental Medicine, American Academy of Cerebral Palsy and Developmental Medicine, and Pediatric Orthopaedic Society of North America, professional societies have a role to play in establishing hip surveillance. These societies must work with their membership to determine which guidelines are best suited to their systems of care and, where appropriate, foster collaborations with key stakeholders to facilitate guideline development and system-wide implementation. Offered the choice, surely children with CP and their families will choose hip surveillance and its proven benefits over the alternative. Those waiting for system-wide implementation are missing an opportunity to provide quality care to the patients in their practice.

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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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.040
GPT teacher head0.369
Teacher spread0.328 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations8
Published2019
Admission routes2
Has abstractyes

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