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Record W2588465276 · doi:10.1016/j.pmedr.2017.02.009

Utilization of social media and web forums by HIV patients - A cross-sectional study on adherence and reported anxiety level

2017· article· en· W2588465276 on OpenAlexaff
Elisa Longinetti, Vinoth Manoharan, Hala Ayoub, Pamela J. Surkan, Ziad El‐Khatib

Bibliographic record

VenuePreventive Medicine Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueHumber Polytechnic
Fundersnot available
KeywordsThe InternetAnxietyPillLogistic regressionMedicineCross-sectional studyPopulationSocial supportHuman immunodeficiency virus (HIV)Social mediaFamily medicinePsychologyPsychiatryEnvironmental healthSocial psychologyWorld Wide WebNursingInternal medicineComputer science

Abstract

fetched live from OpenAlex

Due to the high stigma surrounding the Human Immunodeficiency Virus (HIV), people living with HIV (PLWH) often reach out peers over the Internet for emotional and social support. The purpose of this study was to assess the characteristics of PLWH who use HIV internet forums. A cross-sectional study was conducted using an online survey investigating demographic characteristics of PLWH, level of satisfaction of the HIV Internet forums, time living with HIV, forum users' anxiety levels, self-reported adherence to antiretroviral treatment (ART), and reasons for missing pills (n = 222). Logistic regression models were constructed to compare the use of general HIV forums with social networking sites, general HIV forums with group emails, and social networking sites with group emails. Two hundred and twenty-two patients responded to the survey. Social networking sites were used by recently diagnosed PLWH who were on antiretroviral treatment (ART) > 1 year. Young patients (≤ 40 years) and those diagnosed < 1 year before, tended to use social networking sites, while older patients (> 40 years), those diagnosed > 5 years, and from low- and middle-income countries, were more likely to use emailing lists. There was no significant difference between PLWH's adherence to treatment and anxiety levels and the usage of different Internet forums. PLWH's Internet resource choice varied depending on the availability of Internet and illness duration. Different segments of the population could be reached via social networking sites versus group emails to provide HIV information.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.113
GPT teacher head0.421
Teacher spread0.307 · 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 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

Citations11
Published2017
Admission routes1
Has abstractyes

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