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An application of Systematic Anomalous Case Analysis to improve models predicting contraceptive use in the Philippines
Journal of Biosocial Science ( IF 1.5 ) Pub Date : 2021-04-05 , DOI: 10.1017/s0021932021000122
Subasri Narasimhan 1, 2 , Jessica D Gipson 3
Affiliation  

Amidst persistently high unintended pregnancy rates and lags in contraceptive use, novel methodological approaches may prove useful in investigating sexual and reproductive health outcomes in the Philippines. Systematic Anomalous Case Analysis (SACA) – a mixed-methods technique – was employed to examine predictors of women’s lifetime contraceptive use. First, multivariable, longitudinal Poisson regression models predicted fertility and sexual debut using the 1998–2009 Cebu Longitudinal Health and Nutrition Surveys (CLHNS), then regression outliers and normative cases were used to identify 48 participants for in-depth interviews (2013–2014) for further examination. Qualitative findings from 24 women highlighted ‘control over life circumstances’ was critical, prompting the addition of two items to the original quantitative models predicting any contraceptive use (n=532). Each of the items, ‘what happens to [them] is their own doing’ and ‘[I] do not [have] enough control over direction life is taking [me]’, significantly and independently predicted any contraceptive use (aOR: 2.37 (CI: 1.24–4.55) and aOR: 0.46 (CI: 0.28–0.77), respectively). The findings demonstrate the utility of SACA to improve the understanding and measurement of sexual and reproductive health outcomes and underscore the importance of integrating psychosocial constructs into existing models of fertility and reproductive behaviour in the Philippines to improve sexual and reproductive health outcomes.



中文翻译:


应用系统异常案例分析改进菲律宾避孕药具使用预测模型



在意外怀孕率持续居高且避孕药具使用滞后的情况下,新的方法可能有助于调查菲律宾的性健康和生殖健康结果。系统异常案例分析(SACA)——一种混合方法技术——被用来检查女性终生避孕药具使用的预测因素。首先,使用 1998-2009 年宿雾纵向健康和营养调查 (CLHNS) 的多变量纵向泊松回归模型预测生育能力和首次性行为,然后使用回归异常值和规范案例来确定 48 名参与者进行深度访谈(2013-2014 年)以便进一步检查。来自 24 名女性的定性研究结果强调“控制生活环境”至关重要,促使在预测任何避孕药具使用的原始定量模型中添加了两项 ( n = 532)。每一个项目,“[他们]发生的事情都是他们自己做的”和“[我]对[我]生活的方向没有足够的控制”,显着且独立地预测了任何避孕药具的使用(aOR:2.37 (CI:1.24–4.55)和 aOR:0.46(CI:0.28–0.77)。研究结果证明了 SACA 在提高对性和生殖健康结果的理解和衡量方面的效用,并强调了将心理社会结构纳入菲律宾现有的生育和生殖行为模型以改善性和生殖健康结果的重要性。

更新日期:2021-04-05
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