Evidence map›Paper›PMID 42819541›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2019

Supporting Communication About Values Between People with Multiple Chronic Conditions and their Providers.

Andrew B L Berry, Catherine Y Lim, Tad Hirsch, Andrea L Hartzler, Linda M Kiel, Zoe A Bermet, James D Ralston

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Andrew B L BerryUniversity of Washington, Seattle, WA, USA.
Catherine Y LimKaiser Permanente Washington, Health Research Institute, Seattle, WA, USA.
Tad HirschNortheastern University, Boston, MA, USA.
Andrea L HartzlerUniversity of Washington, Seattle, WA, USA.
Linda M KielKaiser Permanente Washington, Health Research Institute, Seattle, WA, USA.
Zoe A BermetKaiser Permanente Washington, Health Research Institute, Seattle, WA, USA.
James D RalstonKaiser Permanente Washington, Health Research Institute, Seattle, WA, USA.

Funding

Seeing and Sharing What Matters: Personal Health Libraries for Individuals with Multiple Chronic ConditionsR01LM012813 · NLM · KAISER FOUNDATION RESEARCH INSTITUTE · PI RALSTON, JAMES D. · 2017 to 2020
$1.4M
AHRQ HHS R01 HS022364NLM NIH HHS R01 LM012813
6 · The paper itself

Abstract

People with multiple chronic conditions (MCC) often disagree with healthcare providers on priorities for care, leading to worse health outcomes. To align priorities, there is a need to support communication about what patients consider important for their well-being and health (i.e., their personal values). To address barriers to communication about values, we conducted a two-part study with key stakeholders in MCC care: patients, informal caregivers, and providers. In Part I, codesign activities generated seven dimensions that characterize stakeholders' diverse ideas for design: explicitness, effort, disclosure, guidance, intimacy, scale, and synchrony. In Part II, we used the dimensions to generate three design concepts and presented them in focus groups to further scrutinize findings from Part I. Based on these findings we outline directions for research and design to improve patient-provider communication about patients' personal values.

Indexed as

Co-designmultimorbiditymultiple chronic conditionspatient-provider communication

Identifiers

PMID42819541
PMCPMC13626138

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.