A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland
Bibliographic record
Abstract
There has been a drive towards increased digitalisation in healthcare. The aim was to provide a snapshot of current apps, instant messaging, and smartphone photography use in paediatric emergency care. A web-based self-report questionnaire was performed. Individual physicians working in paediatric emergency care recorded their personal practice. One hundred ninety-eight medical doctors completed the survey. Eight percent of respondents had access to institutional mobile devices to run medical apps. Eighty-six percent of respondents used medical apps on their personal mobile device, with 78% using Apple iOS devices. Forty-seven percent of respondents used formulary apps daily. Forty-nine percent of respondents had between 1-5 medical apps on their personal mobile device. Respondents who used medical apps had a total of 845 medical apps installed on their personal device, accounted for by 56 specific apps. The British National Formulary (BNF/BNFc) app was installed on the personal mobile device of 96% of respondents that use medical apps. Forty percent of respondents had patient confidentiality concerns when using medical apps. Thirty-eight percent of respondents have used consumer instant messaging services, 6% secure specialist messaging services, and 29% smartphone photography when seeking patient management advice. CONCLUSION: App use on the personal mobile devices, in the absence of access to institutional devices, was widespread, especially the use of a national formulary app. Instant messaging and smartphone photography were less common. A strategic decision has to be made to either provide staff with institutional devices or use software solutions to address data governance concerns when using personal devices. What is Known: • mHealth use by junior doctors and medical students is widespread. • Clinicians' use of instant messaging apps such as WhatsApp is the widespread in the UK and Ireland, in the absence of alternatives. What is New: • Personal mobile device use was widespread in the absence of alternatives, with the British National Formulary nearly universally downloaded to physicians' personal mobile devices. • A third of respondents used instant messaging and smartphone photography on their personal mobile device when seeking patient management advice from other teams in the absence of alternatives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".