Evidence map›Paper›PMID 30195086›Full record

ArticleJournal of biomedical informatics2018

The use of model constructs to design collaborative health information technologies: A case study to support child development.

Sean P Mikles, Hyewon Suh, Julie A Kientz, Anne M Turner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

4 authors.

Sean P MiklesBiomedical Informatics and Medical Education, University of Washington, Box 357240, 1959 NE Pacific Street, Seattle, WA 98195, USA. Electronic address: smikles@uw.edu.
Hyewon SuhHuman Centered Design & Engineering, University of Washington, 428 Sieg Hall, Box 352315, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Julie A KientzHuman Centered Design & Engineering, University of Washington, 428 Sieg Hall, Box 352315, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Anne M TurnerBiomedical Informatics and Medical Education, University of Washington, Box 357240, 1959 NE Pacific Street, Seattle, WA 98195, USA; Department of Health Services, University of Washington, Magnuson Health Sciences Center, Room H-680, Box 357660, 1959 NE Pacific Street, Seattle, WA 98195, USA.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

objectiveHealth information technology could provide valuable support for inter-professional collaboration to address complex health issues, but current HIT systems do not adequately support such collaboration. Existing theoretical research on supporting collaborative work can help inform the design of collaborative HIT systems. Using the example of supporting collaboration between child development service providers, we describe a deductive approach that leverages concepts from the literature and analyzes qualitative user-needs data to aid in collaborative system design. MATERIALS AND

methodsWe use the Collaboration Space Model to guide the deductive qualitative analysis of interviews focused on the use of information technology to support child development. We deductively analyzed 44 interviews from two separate research initiatives and included data from a wide range of stakeholder groups including parents and various service providers. We summarized the deductively coded interview excerpts using quantitative and qualitative methods.

resultsThe deductive analysis method provided a rich set of design data, highlighting heterogeneity in work processes, barriers to adequate communication, and gaps in stakeholder knowledge in supporting child development work. DISCUSSION: Deductive qualitative analysis considering constructs from a literature-based model provided useful, actionable data to aid in design. Design implications underscore functions needed to adequately share data across many stakeholders. More work is needed to validate our design implications and to better understand the situations where specific system features would be most useful.

conclusionsDeductive analysis considering model constructs provides a useful approach to designing collaborative HIT systems, allowing designers to consider both empirical user data and existing knowledge from the literature. This method has the potential to improve designs for collaborative HIT systems.

Indexed as

Child DevelopmentElectronic Health RecordsAccess to InformationAlgorithmsChildChild, PreschoolCommunicationCooperative BehaviorData CollectionDelivery of Health CareEarly Intervention, EducationalHumansMass ScreeningMedical InformaticsPediatricsPrimary Health CareChild developmentCollaborative workInterdisciplinary communicationPublic health informaticsQualitative researchSoftware design

Identifiers

PMID30195086
PMCPMC6251717

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Registered trials

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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.