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Record W3170591210 · doi:10.1093/cdn/nzab059_004

Iron Status, Development, and Behavior in Young Children in the Pennsylvania Foster Care System, an Exploratory Retrospective Medicaid Chart Review

2021· article· en· W3170591210 on OpenAlexaff
Amrita Arcot, Xueyi Xing, Laura E. Murray‐Kolb

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsImpact
Fundersnot available
KeywordsAnemiaMedicaidMedicinePediatricsIron-deficiency anemiaRetrospective cohort studyMedical diagnosisDiagnosis codeMedical recordCohortPsychiatryInternal medicinePopulationHealth carePathologyEnvironmental health

Abstract

fetched live from OpenAlex

To 1) quantify the prevalence of iron deficiency (ID), iron deficiency anemia (IDA), and/or anemia in children in the Pennsylvania (PA) Foster Care System and 2) examine if a child's iron status is associated with the frequency of certain developmental and behavioral diagnoses. Retrospective cohort Medicaid chart review of children, from 6 mos to 10 yrs of age, in the PA Foster Care System using the most recently available data (2010–2015), extracted from the Medicaid Analytic eXtract database. Data from ICD-9 and ICD-10 codes which capture iron status and anemia, along with 16 relevant behavioral and 10 relevant developmental diagnoses were extracted. ICD codes for ID, IDA, and anemia cannot be differentiated; therefore, we used ID/anemia as a group label. The prevalence of ID/anemia was calculated and the prevalence of developmental delays and behavioral impairments among those diagnosed with ID/anemia was compared to those who were not diagnosed with ID/anemia. Group differences were determined using Pearson's chi-squared tests. From 2010–2015, there were 50,311 children, ages 6 mos to 10 yrs, in the PA Foster Care System. Of these, 1,365 (2.7%) were diagnosed with ID/anemia. Specific delays in development (a category with several sub-diagnoses) were reported in 48% of children with ID/anemia and 19% of children without diagnosed ID/anemia (χ2 = 679.42, p < 0.001). Moderate, severe, and profound intellectual disability (IQ < 49) were each reported in 0.5% of children with ID/anemia, and in children without diagnosed ID/anemia, in 0.16% (χ2 = 9.84, p = 0.002), 0.1% (χ2 = 19.79, p < 0.001), and 0.08% (χ2 = 26.44, p < 0.001), respectively. Adjustment disorder with depressive mood was reported in 1% of children with diagnosed ID/anemia and 0.6% of children without (χ2 = 4.10, p < 0.05). Irritability was different between groups (χ2 = 59.91, p < 0.001; 0.9% of children with ID/anemia and 0.1% of children without). In 2010–2015, 2.7% of children in PA Foster Care (6 mos-10 yrs old) were diagnosed as ID, IDA, and/or anemic. Frequency of developmental and behavioral diagnoses were generally greater in children with ID, IDA, or anemia, emphasizing the need for follow up of these children. The John L. Beard Endowment and the CHHD Limited Endowment Funds, The Pennsylvania State University.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.067
GPT teacher head0.405
Teacher spread0.338 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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