Evidence map›Paper›PMID 30245512›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2019

Direct health-care costs for children diagnosed with genetic diseases are significantly higher than for children with other chronic diseases.

Deborah A Marshall, Eric I Benchimol, Alex MacKenzie, Daniel Rodriguez Duque, Karen V MacDonald, Taila Hartley, Heather Howley, Alison Hamilton, Meredith Gillespie, Faheem Malam and 1 more

Open access · bronzeAbstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Article
  8. Review
  9. Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  10. Review
  11. Article
  12. Exome sequencing compared with standard genetic tests for critically ill infants with suspected genetic conditions.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  13. 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

11 authors at 4 institutions in 1 country.

Deborah A MarshallDepartment of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. damarsha@ucalgary.ca.
Eric I BenchimolDepartment of Pediatrics and School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Alex MacKenzieChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada.
Daniel Rodriguez DuqueInstitute for Clinical Evaluative Sciences, Ottawa, ON, Canada.
Karen V MacDonaldDepartment of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Taila HartleyChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada.
Heather HowleyChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada.
Alison HamiltonChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada.
Meredith GillespieChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada.
Faheem MalamDepartment of Genetics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.
Kym M BoycottChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, Canada. kboycott@cheo.on.ca.
University of Ottawa · CAChildren's Hospital of Eastern Ontario · CAUniversity of Calgary · CAInstitute for Clinical Evaluative Sciences · CA

Funding

CIHR
6 · The paper itself

Abstract

purposeWe aimed to estimate direct health-care costs and physician utilization for a cohort of children diagnosed with genetic diseases.

methodsRetrospective cohort study using population-based provincial health administrative data for children with genetic diseases (n = 255) compared with three matched cohorts (asthma n = 1275, diabetes n = 255, general population n = 1275). We estimated direct health-care costs and resource use 5 years after diagnosis in five categories: physician billing, same day surgery, emergency, inpatient hospitalizations, and home care.

resultsDuring the postdiagnostic period, annual mean total costs for the genetic disease cohort were significantly higher than all other cohorts. Annual mean total costs for all cohorts were highest in the year after diagnosis with costs for the genetic disease cohort between 4.54 and 19.76 times higher during the 5 years. Inpatient hospitalizations and physician billing accounted for the majority of costs. The genetic disease cohort received more care from specialists, whereas the chronic disease cohorts received more care from general practitioners.

conclusionDirect health-care costs for children with genetic diseases are significantly higher than children with/without a chronic disease, particularly in the year after diagnosis. These findings are important when considering resource allocation and funding prioritization for children with genetic diseases.

Indexed as

Health Care CostsAdolescentChildChild, PreschoolChronic DiseaseCohort StudiesFemaleGenetic Diseases, InbornHumansMaleRetrospective Studieschildrencost analysisgenetic diseaseshealth-care costshealth-care resource utilization

Identifiers

PMID30245512
OpenAlexW2891110215

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.