Evidence map›Paper›PMID 41730170›Full record

ArticleJMIR human factors2026

Digital Health Literacy and Tool Adoption in Postoperative Care in a Safety-Net Hospital Population: Mixed Methods Study.

Christopher Awad, Alexander Jakub Martinek, Chunhao Zou, Rosalind Byrd, Hui Jean Ooi, Kimberly Do, Henry Young, Bhavin Adhyaru, Muhammed Idris, Rosa I Arriaga

Abstract read
In one paragraph

Article in JMIR human factors, 2026. 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

10 authors.

Christopher AwadDepartment of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0002-8845-3076
Alexander Jakub MartinekClinical Research Center, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA, 30310, United States, 14702238755.ORCID 0000-0001-9142-5546
Chunhao ZouDepartment of Computer Science, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0009-0009-8179-7421
Rosalind ByrdDivision of General Internal Medicine, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0002-1451-3013
Hui Jean OoiDivision of General Internal Medicine, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7479-4603
Kimberly DoCollege of Computing, Northeastern University, Boston, MA, United States.ORCID 0000-0002-4945-6477
Henry YoungDepartment of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0002-5076-6595
Bhavin AdhyaruDivision of General Internal Medicine, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0002-1057-9728
Muhammed IdrisClinical Research Center, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA, 30310, United States, 14702238755.ORCID 0000-0002-3899-3728
Rosa I ArriagaDepartment of Computer Science, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-8642-7245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health tools are increasingly prevalent in postoperative care management, yet limited research exists on digital health literacy and tool adoption among safety-net hospital populations. Understanding these factors is crucial for developing effective digital health solutions for historically underserved communities. Objective: This study aimed to evaluate digital health literacy, assess technology adoption readiness, and examine the relationship between patient-reported capabilities and demographic factors in a postoperative care context at a safety-net hospital. Methods: We conducted a mixed methods study with 71 postoperative patients and 29 health care providers at a safety-net hospital. Participants completed a modified eHealth Literacy Scale (eHEALS) assessment and a demographic questionnaire, followed by usability testing of PocketDoc, a digital health prototype. The modified 7-item eHEALS demonstrated adequate internal consistency (Cronbach α=0.77). Qualitative data from think-aloud protocols during usability testing were collected for future analysis. This study focused on quantitative assessments of digital health literacy (using the modified eHEALS on a 5-point Likert scale) and technology adoption readiness (via usability metrics on a 10-point Likert scale) analyzed using nonparametric statistical tests. Correlations between demographic factors and digital health literacy were examined using Spearman rank-order correlation. Results: Despite common assumptions about technology barriers in safety-net populations, 69% (49/71) of patients reported high confidence (score of ≥3 on a 5-point scale) in finding health resources online, and 61% (43/71) expressed confidence in using the internet for health-related questions. However, only 49% (35/71) felt confident in using digital resources for health decision-making. Digital health literacy scores did not correlate with age or educational level, although 79% (56/71) of patients reported ≥10 years of digital device experience. Both patients and health care providers rated PocketDoc highly for ease of use (median 10, IQR 8-10) and task intuitiveness (median 10, IQR 8-10). Patients' confidence in finding and using health resources online positively correlated with interface satisfaction (ρ=0.262-0.304 and ρ=0.010-0.027, respectively). Conclusions: Our exploratory findings from 100 participants suggest that digital health tools may be more feasible in safety-net settings than previously considered, although the sample size and single-site design limit generalizability. However, the gap between patients' ability to find health resources (49/71, 69% confident) and their confidence in using these resources for health decision-making (35/71, 49% confident) highlights the need for targeted support in translating digital capabilities to health management skills.

Indexed as

Health LiteracyPostoperative CareSafety-net ProvidersAdultAgedDigital HealthFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicinedigital healthdigital interventioneHealth literacyhealth care technology acceptance​​​​​​​​​​​​​​​​health informaticshuman-computer interactionmobile health apppatient navigationpatient self-managementpostsurgical careusability testinguser experience

Identifiers

PMID41730170
PMCPMC12928685

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.