Evidence map›Paper›PMID 30681716›Full record

ArticleJAMA network open2019

Timing and Intensity of Early Intervention Service Use and Outcomes Among a Safety-Net Population of Children.

Beth M McManus, Zachary Richardson, Margaret Schenkman, Natalie Murphy, Elaine H Morrato

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Scoping Review of Strategies to Increase Newcomer Family Access to Early Childhood Services.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Factors influencing caregiver buy-in to early intervention physical therapy.Journal of pediatric rehabilitation medicine · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Beth M McManusDepartment of Health Systems, Management, and Policy, Colorado School of Public Health, Aurora.
Zachary RichardsonDepartment of Health Systems, Management, and Policy, Colorado School of Public Health, Aurora.
Margaret SchenkmanPhysical Therapy Program, University of Colorado School of Medicine, Aurora.
Natalie MurphyPhysical Therapy Program, University of Colorado School of Medicine, Aurora.
Elaine H MorratoDepartment of Health Systems, Management, and Policy, Colorado School of Public Health, Aurora.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Federal per-child early intervention (EI) appropriations have declined, while accountability for improving children's development and function has increased. It is critical to understand high-value EI services and systems. Objective: To examine EI service timeliness and intensity, and the association between service intensity and outcomes. Design, Setting, and Participants: This secondary data analysis cohort study linked pediatric primary care electronic health records and EI program records from October 1, 2014, to September 30, 2016. Sample children from a large, urban safety-net health system and EI program who were younger than 35 months with a developmental disability or delay were examined. Data analysis was conducted from December 15, 2017, to May 15, 2018. Exposures: The study included measures of condition type and severity, race and ethnicity, family income, insurance type, sex, birth weight, and language. Main Outcomes and Measures: The timeliness of EI (days from referral to EI care plan), service intensity (hours per month) overall and for core EI services (physical, occupational, speech therapy, and developmental intervention), and change in function (measured on a 13-point scale). Adjusted quantile median regression estimated timeliness and intensity. Adjusted linear regression estimated change in function. Results: Of the 722 children who received an EI care plan (median [interquartile range] time to receive EI care plan, 56.0 [1.0-111.0] days) 457 (63.3%) were male, 447 (62.0%) were younger than 12 months, 207 (28.7%) were 12 to 24 months, and 68 (9.3%) were 25 to 35 months. A total of 663 children (91.8%) had a household income of less than $20 000 annually; 305 (43%) of the sample children received an EI care plan within the 45-day deadline. Median (interquartile range) for EI intensity was 2.7 (2.3-3.6) hours per month. Children living above the federal poverty threshold received greater occupational therapy intensity (b, 1.9; 95% CI, 0.9-3.0). Greater clinical severity was associated with more timely receipt of an EI care plan. Compared with infants, 2-year-old children received a care plan almost 2 months sooner (b, -52.0; 95% CI, -79.7 to -24.3). An additional hour per month of EI service was associated with a 3-point functional gain (b, 3.0; 95% CI, 1.5-5.9) among children with complete outcomes information (n = 448). Conclusions and Relevance: In this study, greater EI service intensity was associated with better functional gains, yet most children in the study received delayed care and/or low service intensity. Clinical and EI record linkages could serve as a framework for improving EI processes.

Indexed as

Early Intervention, EducationalAge FactorsBirth WeightChild, PreschoolDevelopmental DisabilitiesFemaleHumansInfantMalePovertySeverity of Illness IndexTime-to-TreatmentTreatment OutcomeUrban Population

Identifiers

PMID30681716
PMCPMC6484581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.