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Record W6907653204 · doi:10.23641/asha.14558514

Coping with tinnitus during the COVID-19 pandemic (Beukes et al., 2021)

2021· article· en· W6907653204 on OpenAlexaboutno aff

Bibliographic record

Venuefigshare ASHA Publications · 2021
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsTinnitusCoping (psychology)PandemicHealth careCoronavirus disease 2019 (COVID-19)AnxietyHearing loss

Abstract

fetched live from OpenAlex

<b>Purpose:</b> The COVID-19 pandemic disrupted normal operations of health care services, broad sectors of the economy, and the ability to socialize freely. For those with tinnitus, such changes can be factors in exacerbating tinnitus. The purpose of this study was to determine tinnitus help-seeking behavior, which resources individuals utilized to cope during the pandemic, and what additional support is desired.<b>Method: </b>An exploratory cross-sectional study design including 1,522 adults with tinnitus living in North America (Canada and the United States) was used. Data were collected through an online survey distributed by the American Tinnitus Association via e-mail. Free text from open-ended questions was analyzed using the automated content analysis. The responses to the structured questionnaire were analyzed using descriptive and nonparametric statistics.<b>Results: </b>Significantly less tinnitus support was sought during the pandemic, and very few respondents utilized tinnitus support networks during the pandemic at the time the survey was conducted. Nonetheless, seeking support during the pandemic was significantly associated with significantly less tinnitus distress. The most frequently utilized resources for coping during the pandemic were contacting family and friends, spending time outdoors or in nature, relaxation, and exercise. Such tools for coping were associated with significantly less tinnitus distress. The support requested and advice provided by participants to health care services had overlap. The main support needs related to managing tinnitus included addressing hearing loss, providing peer support, finding cures, and accessing trained and understanding health care providers to help. The advice for professionals related to tinnitus management included the need for cures, personalized support, addressing hearing loss, targeting the tinnitus percept, and providing more information about the condition.<b>Conclusions:</b> These findings provide suggestions on how to better support those with tinnitus at a time when health care is undergoing rapid changes. Findings can be used by stakeholders, clinical practitioners, and tinnitus support services to devise ways to work more effectively together to improve access to patient-driven, suitable, accessible, and evidence-based support.<br><b>Supplemental Material S1. </b>Survey questions. <br>Beukes, E. W., Onozuka, J., Brazell, T. P., &amp; Manchaiah, V. (2021). Coping with tinnitus during the COVID-19 pandemic. <i>American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00188

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)0.000
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.151
GPT teacher head0.354
Teacher spread0.202 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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