Question · asked by 1 review

Dental treatments, care, and services (the decision context) vs No comparator: Dental fear (fear of treatment) as a factor of choice

Population
(Potential) patients with freedom of choice regarding dental treatments, including parents and caregivers deciding for children or elderly; patients with special needs excluded
Intervention
Dental treatments, care, and services (the decision context)
Comparison
No comparator
Outcome
Dental fear (fear of treatment) as a factor of choice

Dental fear was the second most frequently reported factor (N=64 articles), varying by country (ungraded).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Dental treatments, care, and services (the decision context) vs None (no comparator defined)
Dental fear (fear of treatment) as a factor of choice · (Potential) patients with freedom of choice regarding dental treatments, including parents and caregivers deciding for… · Multiple countries; frequent in India, Saudi Arabia, Brazil
Dental fear was the second most frequently reported factor (N=64 articles), varying by country (ungraded).
Decision-making regarding dental treatments - What factors matter from patients' perspective? A systematic… (2025) All outcomes
'Fear' (of treatment; synonyms e.g., 'fear of needles') identified in N=64 articles (code frequency n=73), the second most frequent factor; frequently reported in India (42%), Saudi Arabia (39%) and Brazil (36%), but…64 studiesGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Decision-making regarding dental treatments - What factors matter from patients' perspective? A systematic review.
2025 All outcomes
2007 to January 2021 (initial search 2007 to 2018; update search 2019 to January 2021)128Not applicable

Studies behind the findings

The primary studies the full-text reviews tie to this outcome. Reviews with headline outcomes only do not list them here.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.