Family planning is an important practice for women as it can help to improve financial and social status. Unwanted pregnancy has negative effects for husband and financial. However, couples married at a late age may not practice family planning because they want to have kids. The aims of this study were to determine the prevalence, factors associated with
husband’s socio demography and decision making in family planning practices among women in reproductive age who attended a polyclinic in Serdang, Malaysia. A cross sectional study was conducted on 245 women with a systematic random sampling. Descriptive analysis, Fisher exact and Chi-square tests were conducted to identify the influence of husband’s socio demographic factors and decision making in family planning practices. The prevalence of family planning practices among married women was moderate (53.9%). Family planning practices among women showed significant relationship with the husband’s socio demography which were husband’s race (p = 0.018), religion (p = 0.008) and making decision in family planning (p = 0.002). The husband’s socio demography showed a significant relationship with the prevalence of the wife practicing family planning. This clearly indicates that the husband is the individual that influence the wife to use contraceptive method. Decision making in family planning by both the husband and wife is important in choosing to use contraceptive method. Health promotion in the concept of health education for male contraceptive method such as pamphlet and booklet is important to promote husband involvement in family planning.
Study site: Klinik Kesihatan Seri Kembangan, Serdang, Selangor, Malaysia
During the initial phase of the coronavirus disease 2019 (COVID-19) pandemic, there was a critical need to create a valid and reliable screening and surveillance for university staff and students. Consequently, 11 medical experts participated in this cross-sectional study to judge three risk categories of either low, medium, or high, for all 1536 possible combinations of 11 key COVID-19 predictors. The independent experts' judgement on each combination was recorded via a novel dashboard-based rating method which presented combinations of these predictors in a dynamic display within Microsoft Excel. The validated instrument also incorporated an innovative algorithm-derived deduction for efficient rating tasks. The results of the study revealed an ordinal-weighted agreement coefficient of 0.81 (0.79 to 0.82, p-value < 0.001) that reached a substantial class of inferential benchmarking. Meanwhile, on average, the novel algorithm eliminated 76.0% of rating tasks by deducing risk categories based on experts' ratings for prior combinations. As a result, this study reported a valid, complete, practical, and efficient method for COVID-19 health screening via a reliable combinatorial-based experts' judgement. The new method to risk assessment may also prove applicable for wider fields of practice whenever a high-stakes decision-making relies on experts' agreement on combinations of important criteria.