Motivational Interviewing for Hearing Aid Use: A Systematic Meta-Analysis on Its Potential for Adult Patients with Hearing Loss
Bibliographic record
Abstract
Abstract Purpose The aim of the study is to conduct a meta-analysis examining the impact of motivational interviewing (MI) on hearing aid (HA) use compared with standard care. Research Design The research design is a systematic review and meta-analysis. Cochrane ENT, Central, Medline, Web of Science, ICTRP, and ClinicalTrials.gov electronic databases were searched. Inclusion criteria consisted of randomized controlled trials (RCTs) published between 1988 and 2018 that compared MI to standard care. Study Sample The study sample consists of four RCTs, investigating a total of 176 patients. Data Collection and Analysis RevMan 5.3 and a random effect model were used for analysis. Results The standardized mean difference in data-logged hours of HA use was not statistically significant (0.34 [95% confidence interval or CI: −0.10, 0.78; p = 0.13]). The mean difference for user-reported outcomes on the International Outcome Inventory—Hearing Aids of 0.41 [CI: −1.00, 1.82; p = 0.57] was also not significant. Conclusion There is no current evidence that MI significantly improves HA use or user-reported outcomes. However, there were limited studies included in this review and further research is indicated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.028 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".