ArticleCureus2024
Equity in the Developmental Dysplasia of the Hip (DDH) Diagnosis and Treatment: A Retrospective Cohort Study to Unravel the Effect of Area Deprivation and the Insurance Type.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Sociodemographic Determinants of Timely Hip Dysplasia Ultrasound Screening.Journal of the Pediatric Orthopaedic Society of North America · 2026Article
- The Impact of Socioeconomic Disadvantage and Insurance on Delays in Fixation of Distal Radius Fractures.Hand (New York, N.Y.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Timely diagnosis of developmental dysplasia of the hip (DDH) is crucial for implementing less invasive treatment. However, socioeconomic barriers may lead to late diagnoses. The Area Deprivation Index (ADI) is an indicator of the socioeconomic challenges experienced by patients and their families. The primary objective is to investigate if the age at which DDH is diagnosed and the treatment protocol are influenced by the ADI or the insurance type. Materials and methods Using International Classification of Diseases-Tenth Edition (ICD-10) codes, newly diagnosed DDH patients (age under 10 years) from 2020 to 2023 were retrospectively identified at our pediatric tertiary center. Patients were categorized into four groups based on ADI percentile: (1) 1-10th percentile, (2) 11-20th percentile, (3) 21-40th percentile, and (4) 41-100th percentile. They were also stratified by insurance type. Age at diagnosis and treatment protocol (non-operative vs. operative) were collected and compared between the different ADI groups and insurance groups. Operative treatment was defined as open reduction with or without femoral/pelvic osteotomy. Results A total of 327 patients satisfied the inclusion criteria and had available ADI scores for analysis. The average age at diagnosis was notably lower in ADI group 1 compared to all other ADI groups (p < 0.05) and considerably lower for patients with commercial insurance compared to those with public (p = 0.0002). The rate of surgical treatment was markedly lower in ADI group 1 compared to ADI groups 2 and 3 (both p < 0.05) and notably lower for those with commercial insurance compared to public (p = 0.0005). ADI groups 2-4 showed no significant differences in average age at diagnosis or surgical treatment rate. Conclusion The study demonstrates that socioeconomic factors affect the diagnosis and, consequently, the treatment course of DDH. Specifically, patients residing in areas with lower levels of deprivation tend to be diagnosed at a younger age and undergo surgical treatment less frequently.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.