Self-efficacy of the First-degree Relatives of Patients with Breast Cancer in the Prevention of Cancer: Using the Health Belief Model.

Breast cancer is the most common type of cancer in women. The best method to fight this disease is early diagnosis. The aim of this study was to investigate the effect of education based on the health belief model on self-efficacy of the first-degree relatives of patients with breast cancer. This randomized clinical trial was conducted in Tehran in 2016 on 80 first-degree relatives of patients with breast cancer. After purposive sampling, the subjects were assigned to interventions and control groups using the randomized block design. The data collection tool was a questionnaire including questions about demographic data, health belief model, and self-efficacy. The educational intervention was held during four 90-min sessions. The questionnaires were completed before and 8 weeks after the intervention in both groups. The data were analyzed using the SPSS16 software. The educational intervention led to a significant increase in susceptibility (d = 1.17, 95%CI 0.69, 1.66), seriousness (d = 1.11, 95%CI 0.62, 1.59), benefits (d = 1.58, 95%CI 1.06, 2.09), and significant decrease in perceived barriers (d = - 0.73, 95%CI 0.27, 1.19) scores in the intervention group. The self-efficacy score in the intervention group was increased from 7.58 to 9.20, which was statistically significant (d = 1.72, 95%CI 1.19, 2.25). However, in the control group, there was no significant difference in self-efficacy score before and after the intervention (p = 0.45). The present study confirmed the effectiveness of the health belief model in promoting self-efficacy of the first-degree relatives of patients with breast cancer. Therefore, it is recommended that this education program is implemented for women, especially the first-degree relatives of patients with breast cancer.

The Iranian Newborn Multiples Registry (IRNMR): a registry protocol.

Purpose: Over the last decades, several twin/multiples registries have been developed worldwide, mostly concentrated in Europe and high-income countries (HICs). In Iran, we lack accurate nationwide epidemiological and biobank data on twins. We established the Iranian Newborn Multiples Registry (IRNMR) to evaluate the role of genetics and environmental factors in the variation of phenotypes among newborn monozygotic (MZ) and dizygotic (DZ) twin pairs. IRNMR is a multicenter hospital-based registry. Materials and methods: In the pilot phase, we collected epidemiological data from multiples born in Imam Khomeini Hospital complex and Aban Hospital located in Tehran, the capital of Iran, with a population exceeding 8 million, Allameh Bohlool Gonabadi Hospital, Gonabad, Razavi Khorasan, and Shahid Sadoughi Hospital, Yazd, Iran. Results: The IRNMR has recruited 457 sets of newborn twins and multiples so far. We hold follow-up sessions by mother and child health professionals to monitor multiples' growth, development, diseases, and mortality. Conclusions: We successfully developed a newborn multiples registry in Iran. This registry will create an invaluable database to study the relative influence of genes and environmental factors on various chronic diseases, growth, development, and behavioral disorders. We intend to collaborate with other centers to develop a large multicenter nationwide multiple birth registry and biobank in Iran.