Evidence map›Paper›PMID 40953283›Full record

ArticleJMIR formative research2025

Factors Influencing the Use of Online Symptom Checkers in the United Kingdom: Cross-Sectional Study.

Austen El-Osta, Eva Riboli-Sasco, Mahmoud Al Ammouri, Sami Altalib, Ana Luisa Neves, Azeem Majeed, Benedict Hayhoe

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Austen El-OstaSelf-Care Academic Research Unit (SCARU), Imperial College London, School of Public Health, 90 Wood Lane, London, W12 0BZ, United Kingdom, 44 2075947604.ORCID 0000-0002-8772-4938
Eva Riboli-SascoSelf-Care Academic Research Unit (SCARU), Imperial College London, School of Public Health, 90 Wood Lane, London, W12 0BZ, United Kingdom, 44 2075947604.ORCID 0000-0002-9922-9125
Mahmoud Al AmmouriSelf-Care Academic Research Unit (SCARU), Imperial College London, School of Public Health, 90 Wood Lane, London, W12 0BZ, United Kingdom, 44 2075947604.ORCID 0009-0007-6184-6818
Sami AltalibSelf-Care Academic Research Unit (SCARU), Imperial College London, School of Public Health, 90 Wood Lane, London, W12 0BZ, United Kingdom, 44 2075947604.ORCID 0000-0001-7404-8486
Ana Luisa NevesDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0002-7107-7211
Azeem MajeedDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0002-2357-9858
Benedict HayhoeDepartment of Public Health and Primary Care, Imperial College London, London, United Kingdom.ORCID 0000-0002-2645-6191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The National Health Service (NHS) faces increasing strain. Concurrently, demand for health information, consumer empowerment, and health awareness continues to grow. These trends, coupled with the ubiquity of smartphones and internet access, are positioning online symptom checkers (OSCs) as promising tools for preliminary diagnosis and triage. While there is increasing data on the demographics, motivations, and perspectives of current and potential users of OSCs globally, no study has yet quantified or ranked the various factors associated with the use of OSCs in the United Kingdom. Objective: This study aimed to assess key trends and user perceptions on the usability and effectiveness of OSC in the United Kingdom. We also sought to identify concerns related to the privacy, security, and accuracy of OSCs and to quantify the weight of these various factors on the use of OSCs. Methods: A cross-sectional survey of UK adults was conducted using an electronic questionnaire. A convenience sample was recruited between February and March 2024 through web-based platforms and personal networks. The survey included questions on awareness, use, perceptions, and concerns regarding OSCs, as well as respondents' demographics. Responses were pseudo-anonymized and analyzed using univariable and multivariable logistic regression models to assess relationships between demographic factors; perceived usability, reliability, and risks; and OSC use. Results: The survey collected responses from 634 participants. The majority (543/634, 85.7%) had used OSCs, primarily the NHS 111 service (498/634, 78.6%). Younger age (<46 years old), being female (adjusted odds ratio [aOR] 1.79, 95% CI 1.05-3.06), and having children (aOR 3.19, 95% CI 1.56-6.51) were associated with higher odds of using OSCs. Key motivations for using OSCs included understanding symptoms (501/634, 79.0%) and determining the need for medical care (491/634, 77.4%). Key concerns negatively impacting use related to privacy (aOR 0.58, 95% CI 0.35-0.97) and fear of replacing traditional, face-to-face consultations (aOR 0.47, 95% CI 0.26-0.87). The most important factor found to affect the decision to use OSCs was the perceived ease of use (aOR 8.17, 95% CI 4.25-15.71), followed by the perceived helpfulness in decision-making (aOR 2.96, 95% CI 1.62-5.42), and respondents' trust in their diagnostic accuracy (aOR 2.24, 95% CI 1.32-3.79). Conclusions: OSCs are widely used in the United Kingdom, particularly the NHS 111 service, driven primarily by ease of use and perceived helpfulness in decision support. However, privacy and security concerns, as well as fears of OSCs replacing traditional consultations, pose significant barriers. Addressing these concerns is crucial for enhancing user trust and maximizing the benefits of OSCs in supporting self-care and improving health care efficiency.

Indexed as

Diagnostic Self EvaluationOnline SystemsPatient Acceptance of Health CareSymptom AssessmentAdolescentAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioSurveys and QuestionnairesUnited Kingdomcross sectionaldigital healthonline symptom checkeropinionsperceptionsquestionnaireself-caresurveysymptom checkertriageUnited Kingdomusabilityuser experience

Identifiers

PMID40953283
PMCPMC12435756

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.