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Record W2760227528 · doi:10.2196/cardio.8152

Patients With Implantable Cardioverter Defibrillators on Social Media Report More Shock Anxiety Than Clinic Patients: Results From an Online Survey

2017· article· en· W2760227528 on OpenAlexvenueno aff
Linda Kramer Freeman, Keith Richards, Jamie B. Conti, Samuel F. Sears

Bibliographic record

VenueJMIR Cardio · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
FundersEast Carolina University
KeywordsAnxietyImplantable cardioverter-defibrillatorCoping (psychology)MedicineShock (circulatory)Social supportDefibrillationMedical emergencyClinical psychologyIntensive care medicinePsychologyInternal medicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Coping with heart disease and the potential for implantable cardioverter defibrillator (ICD) shocks challenges the psychological adjustment of patients with ICDs. Social media use may be used to seek education and support from others. OBJECTIVE: The aim of this study was to examine the content of information sought online and whether a social media sample of patients with ICDs report more device-specific anxiety than clinic-based normative samples. METHODS: A total of 196 participants were recruited via social media messages and invited to complete an online survey. RESULTS: It was found that the information most often sought by online users (62.4%, 123/196) involved both emotional support (eg, gaining emotional support from other patients with ICDs) and technical information (52.6%, 103/196) (eg, dealing with magnetic interference). The online sample reported more shock anxiety than a typical clinical sample with mean values of 22.75 (SD 10.06) and 15.18 (SD 6.50), respectively (P<.001). CONCLUSIONS: Collectively, these results suggest that patients with ICDs that are online are seeking emotional information and support, and that they report increased shock anxiety relative to typical clinic-based patients. Future research should examine how online information and clinical-based information form a composite understanding and adjustment for patients ICDs.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.138
GPT teacher head0.408
Teacher spread0.270 · 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.

Study designObservational
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

Citations6
Published2017
Admission routes1
Has abstractyes

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