Cited by 6Digital Mental Health InterventionsPediatric Pain Management TechniquesMobile Health and mHealth Applications

Technological Interventions for Pain Management

Suso-Ribera, Carlos, Castilla, Diana, Martínez-Borba, Verónica, Jaén, Irene, Botella, Cristina, Baños, Rosa María, García-Palacios, Azucena·2022·Comprehensive Clinical Psychology

Integrity signals

Registry

Crossref · 10.1016/b978-0-12-818697-8.00009-1

Cites

199 of 199 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 200 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Suso-Ribera, C., Castilla, D., Martínez-Borba, V., Jaén, I., Botella, C., Baños, R. M., & García-Palacios, A.
Affiliations
  • Universitat de València (ES)
  • Universitat Jaume I (ES)
Venue
Comprehensive Clinical Psychology
Publisher
Elsevier
Published
2022
Pages
219-238
OpenAlex
W3175087155
Cited by
6
References
200
Citations by year
2025: 4 · 2022: 1 · 2020: 1
FWCI
2.12
Type
book chapter
Language
en
Open access
closed
Locations
Comprehensive Clinical Psychology (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
pain management, pain assessment, information and communication technologies, mixed reality, online intervention, mobile application, wearable devices, digital health interventions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review