Evidence map›Paper›PMID 40811662›Full record

ArticleJournal of medical Internet research2025

Toward Normalizing Inclusive Design by Uncovering Patient Experiences of a Web Portal in a Dental Hospital: Mixed Methods Study.

Adeola Bamgboje-Ayodele, Jacques Raubenheimer, Anna Paonne, Jessica Yi, Tamasha Jayawardena, Shilpi Ajwani, Eugenia Szuba, Tanmay Chowdhury, Phu Dao, Mostafa Ahmed and 6 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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. 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

16 authors.

Adeola Bamgboje-AyodeleDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0002-5629-1236
Jacques RaubenheimerDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0003-3907-304X
Anna PaonneSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0009-0005-7510-7106
Jessica YiDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0009-0001-5330-0301
Tamasha JayawardenaDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0009-0006-6674-109X
Shilpi AjwaniSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0000-0003-1944-6507
Eugenia SzubaSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0009-0005-9496-9094
Tanmay ChowdhurySydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0009-0008-0854-0307
Phu DaoSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0009-0008-8980-8095
Mostafa AhmedSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0009-0008-0775-5533
Amy Von HubenDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0001-6168-9719
Martin HowellDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0001-9740-712X
Nicole NixonFive Faces, Queensland, Australia.ORCID http://orcid.org/0009-0008-7966-063X
Adam DunnBiomedical Informatics and Digital Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0002-1720-8209
Aaron JonesSydney Local Health District, New South Wales, Australia.ORCID http://orcid.org/0000-0002-0009-2975
Melissa BaysariDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0003-1645-9126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient portals can improve care delivery and the efficient use of health care resources. Barriers to uptake can hinder the realization of expected benefits for health services and patients, particularly for older adults (≥65 y) and those who are culturally and linguistically diverse (CALD). Objective: This study aimed to evaluate the usability and overall patient experience of a patient portal, particularly for CALD and older adults. Methods: A mixed methods study at a dental hospital was performed including a patient experience survey that was administered before (2111 patients) and after (2445 patients) portal implementation to all patients, semistructured interviews (18 patients), and a usability survey (235 patients) that was administered to all patients who had registered to use the portal and had an appointment at the clinic. Also, we conducted a scenario-based usability evaluation (17 patients) with CALD and people. Results: The patient experience survey revealed that the portal had no impact on the ease of changing appointments when the clinic with the portal (Wilcoxon z=-1.62; P=.05) was compared with clinics without the portal in the same hospital (z=-1.54; P=.06). For the usability survey, >82% were completed by patients and 18% by carers, and 47.3% of respondents were older adults (≥65 years old). The majority spoke English (n=191, 81.3%), while others preferred to speak other languages (n=44, 18.7%) and were identified as CALD. Adult participants (18-64 years old) reported that the portal was easy to use and simple. However, design problems, including inadequate incorporation of inclusivity, were found to more often limit usability for older (≥65) and CALD people. The overall Simplified System Usability Scale (SUS) mean score was 63.3 (95% CI 60.9-65.7). Adult participants reflected higher SUS scores than older participants (F=10.4; P=.001). Interview results revealed how the portal was used and barriers to its uptake. Barriers related to poor usability and gaps in the implementation approach (eg, limited awareness of the purpose of the portal). Usability evaluations indicated that all participants could log in with the one-time password (OTP), but most were assisted. Only 3 of 17 participants were able to send a message to the clinic. Other usability problems identified were focused on display, content, layout, functionality, and navigation categories. Conclusions: The use of inclusive design principles when designing patient portals is necessary for successfully engaging all patients. Our study highlights the importance of normalizing inclusive designs in patient portals to ensure that priority populations, such as older and CALD people, are not marginalized by design. We provide recommendations to guide future design and implementation of patient portals.

Indexed as

InternetPatient PortalsPatient SatisfactionAdolescentAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultinclusive designpatient experiencepatient portalusability

Identifiers

PMID40811662
PMCPMC12352587

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.