The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
“It's on my iPhone”: attitudes to the use of mobile computing devices in medical education, a mixed-methods study
Open accessAbstract
Objective: The last decade has seen the introduction of new technology which has transformed many aspects of our culture, commerce, communication and education. This study examined how medical teachers and learners are using mobile computing devices such as the iPhone in medical education and practice, and how they envision them being used in the future. Design: Semistructured interviews were conducted with medical students, residents and faculty to examine participants’ attitudes about the current and future use of mobile computing devices in medical education and practice. A thematic approach was used to summarise ideas and concepts expressed, and to develop an online survey. A mixed methods approach was used to integrate qualitative and quantitative findings. Setting and participants: Medical students, residents and faculty at a large Canadian medical school in 2011. Results: Interviews were conducted with 18 participants (10 students, 7 residents and 1 faculty member). Only 213 participants responded to the online survey (76 students, 65 residents and 41 faculty members). Over 85% of participants reported using a mobile-computing device. The main uses described for mobile devices related to information management, communication and time management. Advantages identified were portability, flexibility, access to multimedia and the ability to look up information quickly. Challenges identified included: superficial learning, not understanding how to find good learning resources, distraction, inappropriate use and concerns about access and privacy. Both medical students and physicians expressed the view that the use of these devices in medical education and practice will increase in the future. Conclusions: This new technology offers the potential to enhance learning and patient care, but also has potential problems associated with its use. It is important for leadership in medical schools and healthcare organisations to set the agenda in this rapidly developing area to maximise the benefits of this powerful new technology while avoiding unintended consequences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Given that a majority of providers use their cell phone in clinical practice, mobile applications can be particularly useful in settings where such providers lack access to expertise. 4,5”
From Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload (2019) · cites this paper as [5]
In the citing paper
“Given that a majority of providers use their cell phone in clinical practice, mobile applications can be particularly useful in settings where such providers lack access to expertise. 4,5”
From Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload (2019) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The shallows: what the Internet is doing to our brains
(2010) · Choice Reviews Online · doi:10.5860/choice.48-1521 · Cited by 1,104
Association of Interruptions With an Increased Risk and Severity of Medication Administration Errors
Westbrook, J. I. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.65 · Cited by 772
Smartphone App Use Among Medical Providers in ACGME Training Programs
Franko, O. I., & Tirrell, T. F. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9798-7 · Cited by 531
The impact of interruptions on clinical task completion
Westbrook, J. I., Coiera, E. W., Dunsmuir, W. T. M., Brown, B. M., Kelk, N. J., Paoloni, R., & Tran, C. (2010) · BMJ Quality & Safety · doi:10.1136/qshc.2009.039255 · Cited by 344
Davies, B. S., Rafique, J., Vincent, T. R., Fairclough, J., Packer, M. H., Vincent, R., & Haq, I. (2012) · BMC Medical Education · doi:10.1186/1472-6920-12-1 · Cited by 307
An Evaluation of the Use of Smartphones to Communicate Between Clinicians: A Mixed-Methods Study
Wu, R. C., Rossos, P. G., Quan, S. D., Reeves, S., Lo, V., Wong, B. M., Cheung, M., & Morra, D. J. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1655 · Cited by 204
Diffusion of innovations: Smartphones and wireless anatomy learning resources
Trelease, R. B. (2008) · Anatomical Sciences Education · doi:10.1002/ase.58 · Cited by 132
Cloud Computing Through Mobile-Learning
Mallikharjuna, N., Sasidhar, C., & Satyendra, V. (2010) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2010.010607 · Cited by 112
The uses of the iPhone for surgeons
Dala-Ali, B. M., Lloyd, M. A., & Al-Abed, Y. A. (2010) · The Surgeon · doi:10.1016/j.surge.2010.07.014 · Cited by 106
Infectious Diseases Resources for the iPhone
Oehler, R. L., Smith, K., & Toney, J. (2010) · Clinical Infectious Diseases · doi:10.1086/651602 · Cited by 91
The Information Diet: A Case for Conscious Consumption
Johnson, C. A. (2012) · International Linear Collider · Cited by 88
Use of Mobile Handheld Computers in Clinical Nursing Education
Farrell, M. J., & Rose, L. (2008) · Journal of Nursing Education · doi:10.3928/01484834-20080101-03 · Cited by 85
The effects of innovation factors on smartphone adoption among nurses in community hospitals.
Putzer, G. J., & Park, Y. (2010) · PubMed Central · Cited by 83
2010 Survey on cell phone use while performing cardiopulmonary bypass
Smith, T., Darling, E., & Searles, B. E. (2011) · Perfusion · doi:10.1177/0267659111409969 · Cited by 82
Smartphones in Clinical Practice, Medical Education, and Research
Baumgart, D. C. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.320 · Cited by 77
Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings
Zolfo, M., Iglesias, D., Kiyan, C., Echevarria, J., Fucay, L., Llacsahuanga, E., de Waard, I., Suàrez, V., Llaque, W., & Lynen, L. (2010) · AIDS Research and Therapy · doi:10.1186/1742-6405-7-35 · Cited by 67
Surgery 101: Evaluating the use of podcasting in a general surgery clerkship
White, J. S., Sharma, N., & Boora, P. (2011) · Medical Teacher · doi:10.3109/0142159x.2011.588975 · Cited by 53
Self-citationMobile Phones to Improve the Practice of Neurology
Busis, N. A. (2010) · Neurologic Clinics · doi:10.1016/j.ncl.2009.11.001 · Cited by 40
The iPad: Gadget or Medical Godsend?
Berger, É. (2010) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2010.05.010 · Cited by 39
Use of personal digital assistants to enhance educational evaluation in a primary care clerkship
Kurth, R. J., Silenzio, V., & Irigoyen, M. M. (2002) · Medical Teacher · doi:10.1080/0142159021000012513 · Cited by 38
Neurosurgical apps for iPhone, iPod Touch, iPad and Android
Kubben, P. (2010) · Surgical Neurology International · doi:10.4103/2152-7806.74148 · Cited by 31
Mobile Technology Use in Medical Education
Luanrattana, R., Win, K. T., Fulcher, J., & Iverson, D. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9451-x · Cited by 30
There’s a medical app for that
Visser, B. J., & Bouman, J. (2012) · BMJ · doi:10.1136/sbmj.e2162 · Cited by 25
The Impact of a Personal Digital Assistant (PDA) Case Log in a Medical Student Clerkship
Ho, K., Lauscher, H. N., Broudo, M., Jarvis-Selinger, S., Fraser, J., Hewes, D. K. M., & Scott, I. M. (2009) · Teaching and Learning in Medicine · doi:10.1080/10401330903228554 · Cited by 24
Using Smartphone Applications in Perioperative Practice
Brusco, J. M. (2010) · AORN Journal · doi:10.1016/j.aorn.2010.09.001 · Cited by 22
Handheld Computer Use in a Family Medicine Clerkship
Sutton, J. D., Stockton, L., McCord, G., Gilchrist, V. J., & Fedyna, D. (2004) · Academic Medicine · doi:10.1097/00001888-200411000-00024 · Cited by 22
Web 2.0: Easy Tools for Busy Clinicians
Phillippi, J. C., & Buxton, M. (2010) · Journal of Midwifery & Women s Health · doi:10.1016/j.jmwh.2010.05.009 · Cited by 13
Wireless Tech Trends 2010. Trend: smartphones.
Gamble, K. H. (2010) · PubMed · Cited by 12
Lasserre, K., Eley, D. S., Baker, P., & Kruesi, L. (2010) · Australian Journal of Rural Health · doi:10.1111/j.1440-1584.2010.01131.x · Cited by 11
Hagland, M. (2010) · PubMed · Cited by 2
One-on-one with CHIME CIO of the year Bill Spooner of Sharp Healthcare. Interview by Mark Hagland.
Spooner, B. (2010) · PubMed · Cited by 1
Flagged first, then by citations
Cited by
Sorted by citations
Achieving integration in mixed methods designs-principles and practices
Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013) · Health Services Research · doi:10.1111/1475-6773.12117 · Cited by 7,219
Mobile devices and apps for health care professionals: uses and benefits.
Ventola, C. L. (2014) · PubMed Central · doi:10.57945/manara.23966214 · Cited by 847
m-Health adoption by healthcare professionals: a systematic review
Gagnon, M.-P., Ngangue, P., Payne-Gagnon, J., & Desmartis, M. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv052 · Cited by 622
Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review
Zhao, J., Freeman, B., & Li, M. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5692 · Cited by 618
Learning with mobile technologies – Students’ behavior
Briz-Ponce, L., Pereira, A., Carvalho, L., Méndez, J. A. J., & García‐Peñalvo, F. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.027 · Cited by 430
Metadata
- Authors
- Wallace, S., Clark, M., & White, J.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Wallace, Sean
- ORCID
- White, Jonathan
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2012
- Volume
- 2
- Issue
- 4
- Pages
- e001099
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC3432838
- OpenAlex
- W2125878686
- Cited by
- 432
- References
- 31
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 29 · 2023: 26 · 2022: 35 · 2021: 34 · 2020: 39 · 2019: 45 · 2018: 43 · 2017: 42 · 2016: 43 · 2015: 33 · 2014: 20 · 2013: 13 · 2012: 2
- FWCI
- 58.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- University of Alberta
- Topics
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Education › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- mobile computers, smartphones, medical education, attitudes toward technology, medical students, residents (medical training), faculty, distraction, privacy concerns, information management, educational technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review