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印度避免怀孕意愿量表的心理测量评估。

Psychometric evaluation of the desire to avoid pregnancy scale in India.

作者信息

Averbach Sarah, Johns Nicole E, Tomar Shweta, Meurice Marielle E, Rao Namratha, Ghule Mohan, Raj Anita

机构信息

Center on Gender Equity and Health, Department of Medicine, Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA; University of California, San Diego, Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Complex Family Planning, La Jolla, CA, USA.

Center on Gender Equity and Health, Department of Medicine, Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA.

出版信息

Contraception. 2025 Aug;148:110940. doi: 10.1016/j.contraception.2025.110940. Epub 2025 May 8.

Abstract

OBJECTIVE

This study aimed to evaluate the psychometric performance of the Desire to Avoid Pregnancy (DAP) scale in India.

STUDY DESIGN

We utilized survey data from married women enrolled in a family planning intervention in Maharashtra, India, who provided responses to the 14-item DAP scale at 18-month intervention study follow-up. We assessed scale internal consistency using Cronbach α and used exploratory factor analysis to evaluate scale unidimensionality and item response theory (IRT) to assess item performance. We used regression models to assess whether DAP predicts current reported contraceptive use, as well as future contraceptive use and pregnancy, to evaluate construct validity.

RESULTS

A total of 1088 participants responded to 18-month intervention study follow-up survey; 99% of eligible participants (887/888) provided the full-scale response. One item, "makes me smile," performed in the reverse direction as anticipated (negative item-test correlation) and was excluded for use in this analysis. The mean 13-item DAP score (DAP-13) was 2.14 of 4 (SD 0.95, range 0-4); internal consistency was high (Cronbach α = 0.92). Most items fit the partial credit model on IRT. Exploratory factor analyses supported either a one- or two-factor model; the unidimensional model was considered acceptable for use as the single factor explained 71% of all variance, and all items had stable absolute factor loadings ≥0.38. DAP-13 score only differed by parity; nulliparous women had the lowest scores (0.56), followed by women with one (1.94), two (2.60), or three or more births (2.56; p < 0.001). A one-point increase in DAP-13 was associated with greater odds of current contraception use reported at time of DAP assessment (adjusted odds ratio [aOR] 1.79, 95% CI 1.43-2.26), subsequent contraception use reported 18 months after DAP assessment (aOR 1.88, 95% CI 1.44-2.44), and half the odds of subsequent pregnancy in the 18-month period after DAP assessment (aOR 0.57, 95% CI 0.46-0.71).

CONCLUSIONS

The DAP scale demonstrated good reliability and unidimensionality in this population. Higher DAP scores were associated with higher odds of contraception use and lower odds of pregnancy, supporting construct validity. Future research on the DAP scale in Maharashtra should explore alternative translations of the "makes me smile" item that better capture local expressions of joy about potential childbearing.

IMPLICATIONS

A modified version of the DAP scale is acceptable for use in an Indian population and can be utilized in future research and program evaluation that focus on contraception and pregnancy prevention in this context. One item was excluded and requires additional formative research to better capture the intended emotional valence in this cultural context.

CLINICAL TRIAL REGISTRATION NUMBER

NCT03514914.

摘要

目的

本研究旨在评估印度避免怀孕意愿(DAP)量表的心理测量性能。

研究设计

我们利用了印度马哈拉施特拉邦参与计划生育干预的已婚妇女的调查数据,这些妇女在干预研究随访18个月时对14项DAP量表做出了回应。我们使用克朗巴哈α系数评估量表的内部一致性,并使用探索性因素分析来评估量表的单维度性,使用项目反应理论(IRT)来评估项目性能。我们使用回归模型来评估DAP是否能预测当前报告的避孕措施使用情况以及未来的避孕措施使用和怀孕情况,以评估结构效度。

结果

共有1088名参与者对18个月干预研究随访调查做出了回应;99%的符合条件参与者(887/888)提供了完整量表的回应。有一项“让我微笑”,其表现与预期相反(负向项目 - 测试相关性),因此在本分析中被排除。13项DAP量表(DAP - 13)的平均得分在4分制中为2.14(标准差0.95,范围0 - 4);内部一致性较高(克朗巴哈α系数 = 0.92)。大多数项目符合IRT的部分计分模型。探索性因素分析支持单因素或双因素模型;单维度模型被认为可以接受,因为单一因素解释了所有方差的71%,并且所有项目的绝对因素负荷稳定≥0.38。DAP - 13得分仅因产次而异;未生育妇女得分最低(0.56),其次是生育一次的妇女(1.94)、生育两次的妇女(2.60)或生育三次及以上的妇女(2.56;p < 0.001)。DAP - 13得分每增加一分,与DAP评估时报告当前使用避孕措施的更高几率相关(调整后的优势比[aOR] 1.

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