Dataset for: Mindfulness-based Interventions for Psychological Wellbeing and Quality of Life in Men with Prostate Cancer: A Systematic Review. Mindfulness-based Interventions for Men with Prostate Cancer

DOI

The review entailed a systematic literature search, data extraction, quality appraisal, and data synthesis via a quantitative approach. Review findings were reported following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). The review protocol was registered in the PROSPERO systematic review register (CRD42020207788). Bibliographic search in Embase, CINAHL, Web of Science Core Collection, MEDLINE, PsycINFO and PsycArticles was carried out from inception up to 7th November 2020. The study selection process was presented using the four-phase item PRISMA flow chat with characteristics of included and excluded studies. The Effective Practice and Organisation of Care (EPOC) risk of bias tool and the National Institute of Health (NIH) quality assessment tool for before-after (pre-post) studies was employed for quality assessment. Studies with similar outcome measure were pooled together in a meta-analysis using STATA statistical software.

Dataset (STATA statistical software) for: Nnate, D.A., Anyachukwu, C.C., Igwe, S.E., & Abaraogu, U.O. (2021). Mindfulness-based Interventions for Psychological Wellbeing and Quality of Life in Men with Prostate Cancer: A Systematic Review. Psycho-Oncology.

(a) Codebook for dataset A, B and C. (b) Dataset A: Outcome measure: Psychological distress. (c) Dataset B: Outcome measure: Post-traumatic growth (d) Dataset C: Outcome measure: Quality of life

Identifier
DOI https://doi.org/10.23668/psycharchives.4762
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.4762
Provenance
Creator Nnate, D.A.; Abaraogu, U.O.
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID); Glasgow Caledonian University; University Of Nigeria
Publication Year 2021
Rights CC-BY 4.0; openAccess; Creative Commons Attribution 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences