Development of a DDH Care Pathway for India: A Study Methodology to Guide Similar Efforts in Other Countries and for Other Conditions
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Bibliographic record
Abstract
PURPOSE: In India and other Global South countries, developmental dysplasia of the hip (DDH) is often diagnosed after walking age, leading to more invasive surgeries and long-term disability. DDH care pathways aim to enhance early detection and must be tailored to meet a country's needs and diverse practice settings. We describe a multi-phase methodology for context-specific DDH care pathway development, demonstrating its use in India. METHODS: In Phase I, Orthopaedic surgeons, Pediatricians/Neonatologists, and Radiologists in India were surveyed regarding DDH screening. Seven relevant Indian organizations partnered together and assembled a multidisciplinary working group, which then met fortnightly to establish an evidence base and prepare for the subsequent consensus-building phase. During Phase II, panelists participated in a modified Delphi process to reach consensus on a list of DDH screening statements. Phase III applied the statements to develop the care pathway. RESULTS: The Delphi process concluded after a preliminary survey and two Delphi rounds, reaching consensus on 47 statements, which were condensed into 35. The developed care pathway for India features periodic clinical hip examinations integrated with the country's immunization schedule and selective imaging screening, providing flexibility in the timing and modality of imaging. DISCUSSION/CONCLUSION: In Global South countries, there is a need for DDH care pathways specific to local contexts. Successful care pathway development requires accounting for cultural differences in healthcare and strategies to facilitate engagement and to address country-specific barriers. This methodology was feasible in India and can be applied to other conditions and/or countries wishing to establish care pathways. LEVEL OF EVIDENCE: Level III.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it