Evidence map›Paper›PMID 32278078›Full record

ArticleAcademic pediatrics2020

Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medicaid Beneficiaries.

Kristin N Ray, Ateev Mehrotra, Jonathan G Yabes, Jeremy M Kahn

Abstract read
In one paragraph

Article in Academic pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Perceived Usefulness of Increased Telemedicine Use by Pediatric Subspecialists: A National Survey.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. COVID-19 and Pediatric Gastroenterology.Pediatric clinics of North America · 2021
    Review
  15. Article
  16. Article
  17. Telehealth in Multiple Sclerosis Clinical Care and Research.Current neurology and neuroscience reports · 2021
    Review
  18. Article
  19. Article
  20. Reimbursement patterns and user experiences in pediatric allergy home telehealth.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2020
    Article
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

4 authors.

Kristin N RayDepartment of Pediatrics (KN Ray), University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh, Pittsburgh, Pa. Electronic address: Kristin.Ray@chp.edu.
Ateev MehrotraDepartment of Health Care Policy (A Mehrotra), Harvard Medical School, Boston, Mass; RAND Corporation (A Mehrotra), Boston, Mass.
Jonathan G YabesDepartments of Biostatistics and Medicine (JG Yabes), University of Pittsburgh School of Medicine, Pittsburgh, Pa.
Jeremy M KahnDepartment of Health Policy and Management (JM Kahn), University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pa; Department of Critical Care Medicine (JM Kahn), University of Pittsburgh School of Medicine, Pittsburgh, Pa.

Funding

Optimizing Pediatric Subspecialty Care Through Telemedicine and e-ConsultationsK23HD088642 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N · 2017 to 2020
$520k
NICHD NIH HHS K23 HD088642
6 · The paper itself

Abstract

objectiveLive interactive telemedicine is increasingly covered by state Medicaid programs, but whether telemedicine is improving equity in utilization of subspecialty care is not known. We examined patterns of telemedicine use for outpatient pediatric subspecialty care within the state Medicaid programs.

methodsWe identified children ≤17 years old in 2014 Medicaid Analysis eXtract data for 12 states. We identified telemedicine-using and telemedicine-nonusing medical and surgical subspecialists. Among children cared for by telemedicine-using subspecialists, we assessed child and subspecialist characteristics associated with any telemedicine visit using logistic regression with subspecialist-level random effects. Among children cared for by telemedicine-using and nonusing subspecialists, we compared visit rates across child characteristics by assessing negative binomial regression interaction terms.

resultsOf 12,237,770 pediatric Medicaid beneficiaries, 2,051,690 (16.8%) had ≥1 subspecialist visit. Of 42,695 subspecialists identified, 146 (0.3%) had ≥1 telemedicine claim. Among children receiving care from telemedicine-using subspecialists, likelihood of any telemedicine use was increased for rural children (odds ratio [OR] 10.4, 95% confidence interval [CI] 6.3-17.1 compared to large metropolitan referent group) and those >90 miles from the subspecialist (OR 13.4, 95% CI 10.2-17.7 compared to 0-30 mile referent group). Compared to children receiving care from telemedicine-nonusing subspecialists, matched children receiving care from telemedicine-using subspecialists had larger differences in visit rates by distance to care, county rurality, ZIP code median income, and child race/ethnicity (P < .001 for interaction terms).

conclusionsChildren in rural communities and at distance to subspecialists had increased likelihood of telemedicine use. Use overall was low, and results indicated that early telemedicine policies and implementation did not close disparities in subspecialty visit rates by child geographic and sociodemographic characteristics.

Indexed as

MedicaidPediatricsTelemedicineAdolescentAmbulatory CareChildFemaleHumansMaleOutpatientsRural PopulationUnited StatesconsultationMedicaidreferralspecialtysubspecialtytelehealthtelemedicine

Identifiers

PMID32278078
PMCPMC7194998

What OpenQuestion holds

Textmetadata
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.