Evidence map›Paper›PMID 24889468›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2016

Making decisions about chronic disease treatment: a comparison of parents and their adolescent children.

Ellen A Lipstein, Cassandra M Dodds, Daniel J Lovell, Lee A Denson, Maria T Britto

Open access · bronzeAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  12. Laying the groundwork: Building relationships for public and patient involvement in pre-clinical paediatric research.Health expectations : an international journal of public participation in health care and health policy · 2020
    Article
  13. Shared decision making in IBD: A novel approach to trial consent and timing.Contemporary clinical trials communications · 2019
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  14. The Role of Shared Decision-Making in Shaping Intent to Access Services for Adolescents in Protective Custody.Child care in practice : Northern Ireland journal of multi-disciplinary child care practice · 2019
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  18. Evolution of Pediatric Chronic Disease Treatment Decisions: A Qualitative, Longitudinal View of Parents' Decision-Making Process.Medical decision making : an international journal of the Society for Medical Decision Making · 2015
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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 at 1 institution in 1 country.

Ellen A LipsteinCenter for Innovation in Chronic Disease Care, Division of Adolescent Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Cassandra M DoddsCenter for Innovation in Chronic Disease Care, Division of Adolescent Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Daniel J LovellUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Lee A DensonUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Maria T BrittoCenter for Innovation in Chronic Disease Care, Division of Adolescent Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare factors considered by parents to those considered by adolescents making decisions about chronic disease treatments.

methodsWe conducted individual interviews with 15 parent-adolescent dyads in which the adolescent had either juvenile idiopathic arthritis or Crohn's disease. Questions focused on treatment decisions, with an emphasis on the factors that influenced each individual's preferences related to biologic therapies. A multidisciplinary team developed a coding structure. All interviews were coded by two people with disagreements resolved through discussion. We used content analysis and coding matrices to examine decision factors within and between parent-adolescent dyads.

resultsParents and adolescents both participated in decisions about treatment with biologic therapies but considered decision factors differently. In only half of cases did parents and adolescents agree on the factor that most influenced their decision. Although their decision factors often fell into similar categories (e.g. treatment risks, quality of life), in many cases the specifics varied between adolescents and their parents. Adolescents were more likely to focus on immediate treatment effects and quality of life while parents took a longer term view of the decision. Agreement within dyads was most consistent when a special circumstance influenced the treatment decision.

conclusionsDifferences regarding influential decision factors exist within parent-adolescent dyads. Continued research is needed to determine the extent to which such differences are due to individual preferences or to variations in the information available to each person. Future decision support interventions will need to address parents' and adolescents' potentially disparate views and information needs.

Indexed as

Decision MakingAcademic Medical CentersAdolescentAdolescent BehaviorAdolescent HealthAdultArthritis, JuvenileChildChronic DiseaseCrohn DiseaseFemaleHospitals, PediatricHumansInterviews as TopicMaleMiddle Agedadolescentbiologicschronic conditionsdecision makingparents

Identifiers

PMID24889468
PMCPMC5055230
OpenAlexW2125666357

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.