MétaCan
Menu
Back to cohort
Record W2184224772 · doi:10.2196/medinform.4797

Resident Use of Text Messaging for Patient Care: Ease of Use or Breach of Privacy?

2015· article· en· W2184224772 on OpenAlexvenueno aff
Micah T. Prochaska, Amber-Nicole Bird, Amar R. Chadaga, Vineet M. Arora

Bibliographic record

VenueJMIR Medical Informatics · 2015
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood Institute
KeywordsShort Message ServiceText messagingConfidentialityPagingInternet privacyMedicineUsabilityProtected health informationIdentifierCredentialFamily medicineMedical emergencyComputer scienceComputer securityNursingPublic health

Abstract

fetched live from OpenAlex

BACKGROUND: Short message service (SMS) text messaging is an efficient form of communication and pervasive in health care, but may not securely protect patient information. It is unclear if resident providers are aware of the security concerns of SMS text messaging when communicating about patient care. OBJECTIVE: We sought to compare residents' preferences for SMS text messaging compared with other forms of in-hospital communication when considering security versus ease of use. METHODS: This study was a cross-sectional multi-institutional survey of internal medicine residents. Residents ranked different communication modalities based on efficiency, ease of use, and security using a Likert scale. Communication options included telephone, email, hospital paging, and SMS text messaging. Respondents also reported whether they had received confidential patient identifiers through any of these modalities. RESULTS: SMS text messaging was preferred by 71.7% (94/131) of respondents because of its efficiency and by 79.8% (103/129) of respondents because of its ease of use. For security, 82.5% (104/126) of respondents preferred the hospital paging system, whereas only 20.6% (26/126) of respondents preferred SMS text messaging for secure communication. In all, 70.9% (93/131) of respondents reported having received patient identifiers (first and/or last name), 81.7% (107/131) reported receiving patient initials, and 50.4% (66/131) reported receiving a patient's medical record number through SMS text messages. CONCLUSIONS: Residents prefer in-hospital communication through SMS text messaging because of its ease of use and efficiency. Despite security concerns, the majority of residents reported receiving confidential patient information through SMS text messaging. For providers, it is possible that the benefits of improved in-hospital communication with SMS text messaging and the presumed improvement in the coordination and delivery of patient care outweigh security concerns they may have. The tension between the security and convenience of SMS text messaging may represent an educational opportunity to ensure the compliance of mobile technology in the health care setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.134
GPT teacher head0.461
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations33
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Medical InformaticsSame topicMobile Health and mHealth ApplicationsFrench-language works237,207