Evidence map›Paper›PMID 41940436›Full record

ArticleScandinavian journal of caring sciences2026

Determination of Ontological Well-Being and Self-Compassion Levels in Patients with Mastectomy: A Cross-Sectional Study.

Behice Belkıs Çalışkan, İnci Mercan Annak, Ayşe Kabasakal, Ömür Aktaş, Aslı Emine Büyükkasap, Fatma Yasemin Kutlu

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Article in Scandinavian journal of caring sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Behice Belkıs ÇalışkanDepartment of Nursing, Faculty of Health Sciences, Istanbul Beykent University, Istanbul, Türkiye.ORCID 0000-0001-7249-2954
İnci Mercan AnnakDepartment of Surgical Nursing, Faculty of Nursing, Gazi University, Ankara, Türkiye.ORCID 0000-0002-1327-8875
Ayşe KabasakalGazi University Hospital, Ankara, Türkiye.ORCID 0000-0002-7894-5624
Ömür AktaşGazi University Hospital, Ankara, Türkiye.ORCID 0000-0003-1133-2476
Aslı Emine BüyükkasapGazi University Hospital, Ankara, Türkiye.ORCID 0000-0003-3127-9414
Fatma Yasemin KutluDepartment of Nursing, Faculty of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Türkiye.ORCID 0000-0003-0596-4258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals who undergo mastectomy encounter many psychosocial problems, and individuals need to be evaluated psychosocially during the surgery process. Although the concepts of ontological well-being and self-compassion are new in the literature, they provide important clues for the psychosocial evaluation of individuals.

aimThis study was planned to determine the ontological well-being and self-compassion levels of individuals who have had a mastectomy.

methodsThe study was planned with a descriptive and cross-sectional design and conducted in the general surgery clinic of a training and research hospital. Data were collected face-to-face by reaching 96 individuals who had mastectomy operations. Data were collected using the 'Socio-demographic information form, Self-compassion scale-short form (SCS-SF), and Ontological well-being scale (OWBS)'. Statistical methods were used to evaluate the data.

resultsWhen the study findings were examined, a statistically positive but weak relationship was found between the ontological well-being and self-compassion levels of individuals who had a mastectomy (r = 0.363, p < 0.05), and a statistically positive but weak relationship was found between all dimensions of OWBS and SCS-SF (p < 0.05).

conclusionThe significant relationship between the ontological well-being and self-compassion levels of individuals who have had a mastectomy and many sociodemographic characteristics reveals that these two psychosocial factors should be evaluated. In addition, the high levels of ontological well-being and self-compassion of individuals and the positive effects of these two concepts on each other are variables that should be considered. IMPLICATION FOR PRACTICE: The study results provide insight into the ontological well-being and self-compassion levels of individuals who have had a mastectomy. Nurses can determine patients' coping skills and quality of life by examining how individuals evaluate the past, present, and future within the scope of ontological well-being and the level of compassion they show to themselves while making psychosocial assessments. With these values determined, a comprehensive nursing plan can contribute to individuals' complete state of psychosocial well-being.

Indexed as

Breast NeoplasmsEmpathyMastectomyAdultAgedCross-Sectional StudiesFemaleHumansMiddle AgedPsychological Well-Beingmastectomynurseontological well‐beingself‐compassion

Identifiers

PMID41940436
PMCPMC13051375

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.