The Relationship between Risk Levels of Breast Cancer and Use of Early Diagnosis and Screening Services in Healthcare Workers in Turkey.

Breast cancer Breast cancer screening Breast self-examination Healthcare workers Mammography

Journal

Iranian journal of public health
ISSN: 2251-6085
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Jul 2020
Historique:
entrez: 21 10 2020
pubmed: 22 10 2020
medline: 22 10 2020
Statut: ppublish

Résumé

This study aimed to determine the factors affecting early diagnosis and screening behaviors of healthcare workers concerning breast cancer and the breast cancer risk levels using the risk identification model and to evaluate the relationship between breast cancer risk levels and early diagnosis and screening behaviors. Overall, 466 healthcare workers from Balikesir Province, Turkey participated in this cross-sectional study. Data were collected thanks to a questionnaire prepared by the researchers. Cuzick-Tyrer model was utilized to determine breast cancer risk levels. 78.1% of the healthcare workers regularly perform breast self-examination (BSE), 11.6% had clinical breast examination (CBE), 7.7% had breast ultrasound scan and 4.5% had mammography. BSE behavior increased, as education level got higher. Mammography screening behavior increased in those aged 40 yr and older and those with breast or ovarian cancer history in their family. There was not any relationship between breast cancer risk levels and early diagnosis and screening behaviors. Early diagnosis and screening behaviors of healthcare workers were low concerning breast cancer. Age, education level and family history are the most prominent factors affecting early diagnosis and screening behaviors of healthcare workers. Informing healthcare workers on breast cancer risk factors and screening can make positive contributions to them and the public through them.

Sections du résumé

BACKGROUND BACKGROUND
This study aimed to determine the factors affecting early diagnosis and screening behaviors of healthcare workers concerning breast cancer and the breast cancer risk levels using the risk identification model and to evaluate the relationship between breast cancer risk levels and early diagnosis and screening behaviors.
METHODS METHODS
Overall, 466 healthcare workers from Balikesir Province, Turkey participated in this cross-sectional study. Data were collected thanks to a questionnaire prepared by the researchers. Cuzick-Tyrer model was utilized to determine breast cancer risk levels.
RESULTS RESULTS
78.1% of the healthcare workers regularly perform breast self-examination (BSE), 11.6% had clinical breast examination (CBE), 7.7% had breast ultrasound scan and 4.5% had mammography. BSE behavior increased, as education level got higher. Mammography screening behavior increased in those aged 40 yr and older and those with breast or ovarian cancer history in their family. There was not any relationship between breast cancer risk levels and early diagnosis and screening behaviors.
CONCLUSION CONCLUSIONS
Early diagnosis and screening behaviors of healthcare workers were low concerning breast cancer. Age, education level and family history are the most prominent factors affecting early diagnosis and screening behaviors of healthcare workers. Informing healthcare workers on breast cancer risk factors and screening can make positive contributions to them and the public through them.

Identifiants

pubmed: 33083295
doi: 10.18502/ijph.v49i7.3582
pii: IJPH-49-1289
pmc: PMC7548488
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1289-1297

Informations de copyright

Copyright© Iranian Public Health Association & Tehran University of Medical Sciences.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare that there is no conflict of interest.

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Auteurs

Ayla Acikgoz (A)

Vocational School of Health Services, Dokuz Eylül University, Izmir, Turkey.

Selda Yoruk (S)

Department of Midwifery, Balikesir School of Health, Balıkesir University, Balikesir, Turkey.

Hulya Turkmen (H)

Department of Midwifery, Balikesir School of Health, Balıkesir University, Balikesir, Turkey.

Gul Ergor (G)

Department of Public Health, School of Medicine, Dokuz Eylul University, Izmir, Turkey.

Classifications MeSH