Evidence map›Paper›PMID 39156047›Full record

ArticleJAMIA open2024

Incorporating patient, caregiver, and provider perspectives in the co-design of an app to guide Hospital at Home admission decisions: a qualitative analysis.

Marc Kowalkowski, Tara Eaton, Kelly W Reeves, Justin Kramer, Stephanie Murphy, Colleen Hole, Shih-Hsiung Chou, Amanda Aneralla, Andrew McWilliams

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Marc KowalkowskiSection on Hospital Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.ORCID https://orcid.org/0000-0003-2624-4209
Tara EatonCenter for Health System Sciences, Atrium Health, Charlotte, NC 28204, United States.
Kelly W ReevesDepartment of Family Medicine, Atrium Health, Charlotte, NC 28204, United States.
Justin KramerCenter for Health System Sciences, Atrium Health, Charlotte, NC 28204, United States.
Stephanie MurphyMedically Home Group, Inc, Boston, MA 02118, United States.
Colleen HolePopulation Health, Clinical Integration, Atrium Health, Charlotte, NC 28204, United States.
Shih-Hsiung ChouInformation Technology, Data and Analytics, Atrium Health, Charlotte, NC 28204, United States.ORCID https://orcid.org/0000-0001-5414-1958
Amanda AnerallaICON plc, Winston-Salem, NC 27103, United States.
Andrew McWilliamsDivision of Hospital Medicine, Department of Internal Medicine, Atrium Health, Charlotte, NC 28204, United States.

Funding

Personalized Clinical Decision Support to Improve Participation in Hospital at HomeR21HS027248 · AHRQ · CAROLINAS MEDICAL CENTER · PI KOWALKOWSKI, MARC, MCWILLIAMS, ANDREW D · 2021 to 2022
$285k
AHRQ HHS R21 HS027248
6 · The paper itself

Abstract

Objective: Hospital at Home (HaH) programs currently lack decision support tools to help efficiently navigate the complex decision-making process surrounding HaH as a care option. We assessed user needs and perspectives to guide early prototyping and co-creation of 4PACS (Partnering Patients and Providers for Personalized Acute Care Selection), a decision support app to help patients make an informed decision when presented with discrete hospitalization options. Methods: From December 2021 to January 2022, we conducted semi-structured interviews via telephone with patients and caregivers recruited from Atrium Health's HaH program and physicians and a nurse with experience referring patients to HaH. Interviews were evaluated using thematic analysis. The findings were synthesized to create illustrative user descriptions to aid 4PACS development. Results: In total, 12 stakeholders participated (3 patients, 2 caregivers, 7 providers [physicians/nurse]). We identified 4 primary themes: attitudes about HaH; 4PACS app content and information needs; barriers to 4PACS implementation; and facilitators to 4PACS implementation. We characterized 3 user descriptions (one per stakeholder group) to support 4PACS design decisions. User needs included patient selection criteria, clear program details, and descriptions of HaH components to inform care expectations. Implementation barriers included conflict between app recommendations and clinical judgement, inability to adequately represent patient-risk profile, and provider burden. Implementation facilitators included ease of use, auto-populating features, and appropriate health literacy. Conclusions: The findings indicate important information gaps and user needs to help inform 4PACS design and barriers and facilitators to implementing 4PACS in the decision-making process of choosing between hospital-level care options.

Indexed as

clinical reasoningdecision aiddigital healthHospital at Homeshared decision making

Identifiers

PMID39156047
PMCPMC11328531

What OpenQuestion holds

Textmetadata
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.