Evidence map›Paper›PMID 40051473›Full record

ArticleThe journal of the Canadian Health Libraries Association2024

Tiny? Make it mighty! Maximizing a limited-budget upgrade of a pint-sized hospital library using UX methods.

Sarah Visintini, Jessica McEwan

Abstract read
In one paragraph

Article in The journal of the Canadian Health Libraries Association, 2024. 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

2 authors.

Sarah VisintiniBerkman Librarian, University of Ottawa Heart Institute and University of Ottawa, Ottawa, ON.
Jessica McEwanUser Experience Librarian, University of Ottawa, Ottawa, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The University of Ottawa Heart Institute's Berkman Library space is outdated. Budget constraints and tiny square footage leave little room for error. A needs assessment using user experience (UX) research methods was conducted from 2022 to 2023 to inform strategic decisions on updating and reorganizing furnishings to better support library patrons and their needs. Methods: Data was collected via an electronic survey, "guerilla" interviews, observations of library patrons, and a physical survey of communal spaces in the building. Resulting qualitative data were compiled and examined for common themes. Low fidelity mockups of furnishings and space arrangements were prototyped and presented to patrons for feedback. Results: Quiet was one of the most valued attributes of the library space and showed itself to be a unique quality of the library when compared to communal spaces within the hospital. Survey and interview responses consistently cited soft, comfortable furnishings as desirable additions. Observed behaviours support the continued need for desks with a deep surface area to accommodate multiple devices used in tandem. Flexible use of computer hardware, better access to power outlets, and adjustable lighting were identified as additional gaps. Discussion: Methods showcase light-weight space assessment strategies that are of particular interest to solo librarians or small library teams working in a hospital environment. Results identify library qualities that address institutional gaps and provide insight into the motivators, needs, and behaviours of hospital staff. Centering patron behaviours and preferences in the project's methodology provides data to support decision-making for near term upgrades and long-term library policy.

Identifiers

PMID40051473
PMCPMC11881648

What OpenQuestion holds

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LicenceCC BY
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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.