No abstract

No abstract

Aim: This study aimed to explore the factors that influence breast cancer awareness. Materials & methods: A community-based cross-sectional study was conducted between January and April 2019 in Changchun, Jilin Province, China. Results: A total of 274 women were recruited for this cross-sectional study. Participants had a moderate level of breast cancer awareness (median = 76.50 [68.75, 84.00]). Women in the action/maintenance stages reported higher breast cancer awareness (p = 0.044). Women's breast cancer awareness was positively associated with high health information literacy level, husbands' higher educational degrees, seeing doctors after detecting abnormal breast changes and living within a short distance from the nearest hospital. Conclusion: History of screening and higher health information literacy levels are important positive factors linked to higher breast cancer awareness.

ObjectivesTo perform the cross-cultural adaption of the Breast Cancer Awareness Measurement (BCAM) and to test its psychometric properties among Chinese women.DesignThis is a cross-sectional study.SettingsThis study was conducted in communities, schools and institutions in Changchun, Jilin Province, China.ParticipantsA total of 328 women voluntarily participated in and completed the Chinese version of the BCAM (C-BCAM), resulting in an effective response rate of 91.1%.Primary and secondary outcome measuresPsychometric properties, including item analysis (the extreme group comparison and item-total correlations), content validity (item-level content validity index (I-CVI) and scale-level content validity index (S-CVI)), construct validity (exploratory factor analysis (EFA) and confirmatory factor analysis (CFA)) and internal consistency (Cronbach’s α and test–retest reliability), were measured.ResultsThe C-BCAM has excellent internal consistency (Cronbach’s α=0.90), with alpha coefficients of 0.88, 0.84 and 0.94 for its three domains. The test–retest reliability coefficient was 0.72. The I-CVI ranged from 0.86 to 1.00, and the S-CVI was 0.92. CFA showed that the three-factor model explained 51.56% of the total variance, with a good model fit (likelihood ratio χ2/df=1.86, incremental fit index=0.94, comparative fit index=0.94, goodness-of-fit index=0.84, adjusted goodness-of-fit index=0.80, standardised root mean square error of approximation=0.06 and root mean square residual=0.05).ConclusionsThe C-BCAM has satisfactory validity and reliability and is a culturally appropriate and reliable tool for evaluating breast cancer awareness among Chinese women. This reliable instrument can help researchers and health professionals evaluate women’s knowledge about the symptoms and risk factors of breast cancer and identify their barriers to seeking medical help. It also helps healthcare providers identify women with poor breast cancer awareness and encourage them to perform screening practice.

Background Home visits seem promising for improving the health of women and infants during pregnancy and postpartum. This review aimed to quantitatively analyse the effects of home visits delivered during pregnancy and postpartum on premature birth (PTB), low birth weight (LBW) and rapid repeat birth (RRB). Methods Literature was retrieved from PubMed, EMBASE, Web of Science and the Cochrane Library from January 1960 to October 2018 and the references lists of related studies and reviews were also screened. Eligible papers were randomized controlled trials (RCTs) that focussed on home visits conducted with women during pregnancy or postpartum and reported at least one of the following results: PTB, LBW and RRB. Fixed- or random-effects models were used to analyse the pooled results. Results Fourteen RCTs were included. Pooled estimates showed a beneficial effect on LBW (odds ratio (OR) = 0.83; P = 0.03; low-quality evidence) and RRB in the professional-visit subgroup (OR = 0.62; P = 0.003; moderate-quality evidence). However, there was insufficient evidence to support the favourable effects of home visits on PTB (OR = 0.96; P = 0.59, moderate-quality evidence) and RRB in the non-professional-visit subgroup (OR = 0.86; P = 0.53, moderate-quality evidence). The overall methodological quality was moderate. Egger’s test suggested no publication bias for PTB and LBW. Conclusion This meta-analysis is the first to suggest that home visits can prevent and decrease LBW and RRB; however, it remains unclear whether home visits benefit PTB. Therefore, home visits can be an alternative and complementary part of primary health care for women, especially those with risk factors.