Evidence map›Paper›PMID 25495552›Full record

ArticleBMC medical informatics and decision making2014

Launching a virtual decision lab: development and field-testing of a web-based patient decision support research platform.

Aubri S Hoffman, Hilary A Llewellyn-Thomas, Anna N A Tosteson, Annette M O'Connor, Robert J Volk, Ivan M Tomek, Steven B Andrews, Stephen J Bartels

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  3. BMJ open · 2018
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  8. Introducing Decision Aids into Routine Prostate Cancer Care in The Netherlands: Implementation and Patient Evaluations from the Multi-regional JIPPA Initiative.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
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  15. Developing quality criteria for patient-directed knowledge tools related to clinical practice guidelines. A development and consensus study.Health expectations : an international journal of public participation in health care and health policy · 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

8 authors at 4 institutions in 2 countries.

Aubri S HoffmanDartmouth Centers for Health and Aging, Department of Community and Family Medicine, The Geisel School of Medicine at Dartmouth, 46 Centerra Parkway (HB7250), Lebanon, NH, 03766, USA. Aubri.S.Hoffman@Dartmouth.edu.
Hilary A Llewellyn-ThomasDepartment of Community and Family Medicine, The Geisel School of Medicine at Dartmouth, One Medical Center Drive (HB7250), Hanover, NH, 03755, USA. Hilary.A.Llewellyn-Thomas@dartmouth.edu.
Anna N A TostesonDepartment of Community and Family Medicine, The Geisel School of Medicine at Dartmouth, One Medical Center Drive (HB7250), Hanover, NH, 03755, USA. Anna.N.A.Tosteson@Dartmouth.edu.
Annette M O'ConnorDepartment of Epidemiology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada. AOConnor@uottawa.ca.
Robert J VolkDepartment of General Internal Medicine, Unit 1465, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77230, USA. BVolk@mdanderson.org.
Ivan M TomekDepartment of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03766, USA. Ivan.M.Tomek@Hitchcock.org.
Steven B AndrewsCollaboratory for Healthcare and Bioinformatics, The Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 330, Lebanon, NH, 03766, USA. Steven.B.Andrews@Dartmouth.edu.
Stephen J BartelsDartmouth Centers for Health and Aging, Department of Community and Family Medicine, The Geisel School of Medicine at Dartmouth, 46 Centerra Parkway (HB7250), Lebanon, NH, 03766, USA. Stephen.J.Bartels@Dartmouth.edu.
Dartmouth College · USDartmouth–Hitchcock Medical Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of Ottawa · CA

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Prognostic Value of Lumbar Spine MRIP60AR048094 · NIAMS · DARTMOUTH COLLEGE · PI TOSTESON, TOR D. · 2003 to 2007
$6.2M
Outcomes Calculators for Informed Decision Making in Back SurgeryP60AR062799 · NIAMS · DARTMOUTH COLLEGE · PI TOSTESON, TOR D · 2012 to 2016
$6.1M
NCI NIH HHS P30 CA023108NIAMS NIH HHS P60 AR048094NIAMS NIH HHS P60AR048094NIAMS NIH HHS P60 AR062799NIAMS NIH HHS P60AR062799
6 · The paper itself

Abstract

backgroundOver 100 trials show that patient decision aids effectively improve patients' information comprehension and values-based decision making. However, gaps remain in our understanding of several fundamental and applied questions, particularly related to the design of interactive, personalized decision aids. This paper describes an interdisciplinary development process for, and early field testing of, a web-based patient decision support research platform, or virtual decision lab, to address these questions.

methodsAn interdisciplinary stakeholder panel designed the web-based research platform with three components: a) an introduction to shared decision making, b) a web-based patient decision aid, and c) interactive data collection items. Iterative focus groups provided feedback on paper drafts and online prototypes. A field test assessed a) feasibility for using the research platform, in terms of recruitment, usage, and acceptability; and b) feasibility of using the web-based decision aid component, compared to performance of a videobooklet decision aid in clinical care.

resultsThis interdisciplinary, theory-based, patient-centered design approach produced a prototype for field-testing in six months. Participants (n = 126) reported that: the decision aid component was easy to use (98%), information was clear (90%), the length was appropriate (100%), it was appropriately detailed (90%), and it held their interest (97%). They spent a mean of 36 minutes using the decision aid and 100% preferred using their home/library computer. Participants scored a mean of 75% correct on the Decision Quality, Knowledge Subscale, and 74 out of 100 on the Preparation for Decision Making Scale. Completing the web-based decision aid reduced mean Decisional Conflict scores from 31.1 to 19.5 (p < 0.01).

conclusionsCombining decision science and health informatics approaches facilitated rapid development of a web-based patient decision support research platform that was feasible for use in research studies in terms of recruitment, acceptability, and usage. Within this platform, the web-based decision aid component performed comparably with the videobooklet decision aid used in clinical practice. Future studies may use this interactive research platform to study patients' decision making processes in real-time, explore interdisciplinary approaches to designing web-based decision aids, and test strategies for tailoring decision support to meet patients' needs and preferences.

Indexed as

Decision Support TechniquesPatient PreferenceAdolescentAdultAgedAged, 80 and overConsumer Health InformationDecision MakingDecision Support Systems, ClinicalFeasibility StudiesFemaleHumansInternetMaleMedical InformaticsMiddle Aged

Identifiers

PMID25495552
PMCPMC4275953
OpenAlexW2120773802

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.