Couple-level reports of contraceptive use are important as wives and husbands may report their use differently. Using matched couple data (N = 63,060) from India’s NFHS-4 (2015–16), this study examined concordance in spousal reports of current contraceptive use and its differentials. Reporting of contraceptive use was higher among wives (59.0%) than husbands (25.2%). Concordance was low; 16.5% of couples reported the current use of the same method, while 20.4% reported the current use of any method. Many husbands did not report female sterilization as a means of contraception being used by their wives. Reconstruction of contraceptive use among men, based on the ‘ever-use of sterilization’ question asked to men, increased concordance by 10%. Multivariate analyses showed that concordance was low in urban and southern India, among younger women and among women with a lower wealth index. Men’s control over household decision-making and negative attitudes towards contraception were associated with lower concordance. The findings highlight the importance of using couple-level data to estimate contraceptive prevalence, and the role of education programmes to inculcate positive attitudes towards contraception, fostering gender equality and involving men in family planning efforts. The results also raise the issue of data quality as the survey questions were asked differently to men and women, which might have contributed to the wide observed discordance.

中文翻译：

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印度目前使用避孕药具的配偶报告的一致性

夫妻使用避孕药具的报告很重要，因为妻子和丈夫可能会以不同的方式报告他们的使用情况。使用匹配的情侣数据（ñ= 63,060) 来自印度的 NFHS-4 (2015-16)，本研究检查了配偶报告中当前避孕药具使用及其差异的一致性。妻子（59.0%）报告的避孕药使用情况高于丈夫（25.2%）。一致性很低；16.5% 的夫妇报告目前使用相同的方法，而 20.4% 的夫妇报告目前使用任何方法。许多丈夫没有报告女性绝育是他们妻子使用的一种避孕手段。根据向男性提出的“是否使用绝育”问题，重建男性避孕药具的使用率，将一致性提高了 10%。多变量分析显示，在印度城市和南部、年轻女性和财富指数较低的女性中，一致性较低。男性对家庭决策的控制和对避孕的消极态度与较低的一致性有关。研究结果强调了使用夫妻级数据来估计避孕普及率的重要性，以及教育计划在灌输对避孕的积极态度、促进性别平等和让男性参与计划生育工作方面的作用。结果还提出了数据质量问题，因为对男性和女性提出的调查问题不同，这可能导致了广泛观察到的不一致。促进性别平等并使男性参与计划生育工作。结果还提出了数据质量问题，因为对男性和女性提出的调查问题不同，这可能导致了广泛观察到的不一致。促进性别平等并使男性参与计划生育工作。结果还提出了数据质量问题，因为对男性和女性提出的调查问题不同，这可能导致了广泛观察到的不一致。