Evidence map›Paper›PMID 23618996›Full record

ArticleJournal of biomedical informatics2013

Scenarios, personas and user stories: user-centered evidence-based design representations of communicable disease investigations.

Anne M Turner, Blaine Reeder, Judith Ramey

2 registry-linked trialsAbstract readValidation Study
In one paragraph

Article in Journal of biomedical informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

NCT05379504 nacompletednot on this mapstarted 2022, after this paper: background citation

Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology

TypeinterventionalSponsorUniversity of Missouri-ColumbiaRan2022 to 2024Enrolled58ConditionsQuality of Life, Disabilities MultipleArmsStandard Health Education, Self Management
NCT06515236 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Strategic Treatment Assessment With Youth (STAY): A Measurement-based Care Approach to Promote Treatment Retention Among Racial and Ethnic Minoritized Youth With Depression or Suicide Risk

TypeinterventionalSponsorYale UniversityRan2025 to 2026Enrolled140ConditionsDepression in Adolescence, Suicide PreventionArmsStrategic Treatment Assessment for Youth (STAY), Measurement Based Care As Usual
3 · Its place in the literature

Who cites it

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

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  11. Problematic Attachment to Social Media: Five Behavioural Archetypes.International journal of environmental research and public health · 2019
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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

3 authors.

Anne M TurnerDepartment of Health Services, School of Public Health, University of Washington, Box 354809, Seattle, WA 98195, USA. amturner@uw.edu
Blaine Reeder
Judith Ramey

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
BIOBEHAVIORAL NURSING RESEARCH TRAINING PROGRAMT32NR007106 · NINR · UNIVERSITY OF WASHINGTON · PI LANDIS, CAROL A · 1999 to 2013
$4.6M
CENTER OF EXCELLENCE IN PUBLIC HEALTH INFORMATICSP01CD000261 · CD · UNIVERSITY OF WASHINGTON · PI OBERLE, MARK W · 2005 to 2006
$1.3M
NINR NIH HHS T32 NR007106NINR NIH HHS T32NR007106NLM NIH HHS 5T15LM007442NLM NIH HHS T15 LM007442ODCDC CDC HHS 1P01CD000261-01ODCDC CDC HHS P01 CD000261
6 · The paper itself

Abstract

purposeDespite years of effort and millions of dollars spent to create unified electronic communicable disease reporting systems, the goal remains elusive. A major barrier has been a lack of understanding by system designers of communicable disease (CD) work and the public health workers who perform this work. This study reports on the application of user-centered design representations, traditionally used for improving interface design, to translate the complex CD work identified through ethnographic studies to guide designers and developers of CD systems. The purpose of this work is to: (1) better understand public health practitioners and their information workflow with respect to CD monitoring and control at a local health agency, and (2) to develop evidence-based design representations that model this CD work to inform the design of future disease surveillance systems.

methodsWe performed extensive onsite semi-structured interviews, targeted work shadowing and a focus group to characterize local health agency CD workflow. Informed by principles of design ethnography and user-centered design we created persona, scenarios and user stories to accurately represent the user to system designers.

resultsWe sought to convey to designers the key findings from ethnographic studies: (1) public health CD work is mobile and episodic, in contrast to current CD reporting systems, which are stationary and fixed, (2) health agency efforts are focused on CD investigation and response rather than reporting and (3) current CD information systems must conform to public health workflow to ensure their usefulness. In an effort to illustrate our findings to designers, we developed three contemporary design-support representations: persona, scenario, and user story.

conclusionsThrough application of user-centered design principles, we were able to create design representations that illustrate complex public health communicable disease workflow and key user characteristics to inform the design of CD information systems for public health.

Indexed as

Evidence-Based MedicineCommunicable DiseasesHumansCommunicable disease reportingHuman centered designInformation workflowPersonasPublic health informatics

Identifiers

PMID23618996
PMCPMC4077047

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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.