Evidence map›Paper›PMID 28371887›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Information needs of physicians, care coordinators, and families to support care coordination of children and youth with special health care needs (CYSHCN).

Pallavi Ranade-Kharkar, Charlene Weir, Chuck Norlin, Sarah A Collins, Lou Ann Scarton, Gina B Baker, Damian Borbolla, Vanina Taliercio, Guilherme Del Fiol

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. Rare disease education in Europe and beyond: time to act.Orphanet journal of rare diseases · 2022
    Article
  9. User Requirements for Comanaged Digital Health and Care: Review.Journal of medical Internet research · 2022
    Review
  10. Article
  11. Article
  12. Review
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  14. Article
  15. A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  16. Article
  17. User-centered design of a longitudinal care plan for children with medical complexity.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  18. Article
  19. Article
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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

9 authors.

Pallavi Ranade-KharkarIntermountain Healthcare, Murray, UT, USA.
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Chuck NorlinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Sarah A CollinsPartners HealthCare, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lou Ann ScartonDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Gina B BakerIntermountain Healthcare, Murray, UT, USA.
Damian BorbollaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Vanina TaliercioDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

objectivesIdentify and describe information needs and associated goals of physicians, care coordinators, and families related to coordinating care for medically complex children and youth with special health care needs (CYSHCN). MATERIALS AND

methodsWe conducted 19 in-depth interviews with physicians, care coordinators, and parents of CYSHCN following the Critical Decision Method technique. We analyzed the interviews for information needs posed as questions using a systematic content analysis approach and categorized the questions into information need goal types and subtypes.

resultsThe Critical Decision Method interviews resulted in an average of 80 information needs per interview. We categorized them into 6 information need goal types: (1) situation understanding, (2) care networking, (3) planning, (4) tracking/monitoring, (5) navigating the health care system, and (6) learning, and 32 subtypes. DISCUSSION AND

conclusionCaring for CYSHCN generates a large amount of information needs that require significant effort from physicians, care coordinators, parents, and various other individuals. CYSHCN are often chronically ill and face developmental challenges that translate into intense demands on time, effort, and resources. Care coordination for CYCHSN involves multiple information systems, specialized resources, and complex decision-making. Solutions currently offered by health information technology fall short in providing support to meet the information needs to perform the complex care coordination tasks. Our findings present significant opportunities to improve coordination of care through multifaceted and fully integrated informatics solutions.

Indexed as

Chronic DiseaseAdolescentAttitude of Health PersonnelAttitude to HealthChildChild Health ServicesChildren with DisabilitiesHealth Services Needs and DemandHumansInterviews as TopicNeeds AssessmentParentsPatient Care PlanningPatient Care TeamPatient NavigationPhysicianscare coordinationChildren and youth with special health care needsCritical Decision MethodCYSHCNinformation needs

Identifiers

PMID28371887
PMCPMC6259667

What OpenQuestion holds

Textmetadata
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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.