Evidence map›Paper›PMID 40835402›Full record

ArticleJMIR human factors2025

Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study.

Lindsey M Philpot, Abhinav Singla, Sagar B Dugani, Rachel E Canning, Christina M Smith, Meredith A DeZutter, Priya Ramar, Jennifer M P Hovell, Jon O Ebbert

Abstract read
In one paragraph

Article in JMIR human factors, 2025. 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. Trial
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.

Lindsey M PhilpotDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0002-0462-6233
Abhinav SinglaDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0002-4643-431X
Sagar B DuganiDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0001-7858-1317
Rachel E CanningDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0009-0007-7171-6494
Christina M SmithDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0003-4000-5538
Meredith A DeZutterDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0002-6869-6775
Priya RamarDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0001-8872-684X
Jennifer M P HovellDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0009-0000-6110-9147
Jon O EbbertDepartment of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 5075381882.ORCID 0000-0002-7975-3704

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NCATS NIH HHS UL1 TR002377NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

Background: As more patients transition from hospital to home for postacute care, a growing interest exists in leveraging technology to support recovery, yet a limited understanding exists on how to design these tools to align with patient and caregiver needs and preferences. Objective: This study aimed to explore the perceptions, attitudes, and beliefs of recently discharged patients to develop user-centered design principles for digital tools that support safe and effective transitions from hospital to home. Methods: A vignette-based, mixed methods survey was conducted, grounded in the technology acceptance model, to explore patient perceptions of digital tools supporting postdischarge care. A random sample of 1000 recently discharged adult patients received a survey featuring validated vignettes and technology acceptance model-informed questions, with both quantitative and qualitative items. Open-ended responses were analyzed using grounded theory to derive design principles that inform the development and implementation of patient-centered digital health tools. Quantitative items were descriptive and are summarized as counts (n) and frequencies (%). Results: Of the 967 eligible patients contacted, 116 completed the survey (response rate of 2%), with respondents having a median age of 71 (IQR 61-78) years, high rates of chronic illness, and access to smartphones (98/116, 84.5%) and in-home internet (111/116, 95.7%). Qualitative analysis revealed 6 key themes-connection to care, technical ease of use, solution usability, human connection, cost, and privacy-informing 3 patient-centered design principles focused on user experience, affordability, and transparent communication to guide future technology-supported hospital discharge interventions. Respondents reported the following factors as highly important: reassurance that a care team member would reach out if something seemed wrong (107/116, 92.2%), responsiveness to patient needs (95/116, 81.9%), ability to see their data (95/116, 81.9%), and out-of-pocket cost (94/116, 81.0%). Less important factors included duration of device use (22/116, 19.0%) and battery life (21/116, 18.0%). Conclusions: Grounded in patient perspectives, this study identified the 3 core design principles of user experience and accessibility, cost and privacy, and communication and transparency that should guide the development and implementation of digital tools to support safe, effective, and human-centered transitions from hospital to home.

Indexed as

Home Care ServicesPatient DischargeTelemedicineUser-Centered DesignAdultAgedFemaleHumansMaleMiddle AgedSurveys and Questionnairesaccelerometersdigital healthecological momentary assessmentshospital dischargepatient transitionsremote patient monitoringtechnologyuser-centered design

Identifiers

PMID40835402
PMCPMC12367353

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.