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发展和验证中低收入国家孕产妇健康社会资本评估工具(LSCAT-MH)。

Development and validation of the Social Capital Assessment Tool in pregnancy for Maternal Health in Low and middle income countries (LSCAT-MH).

机构信息

Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka.

Faculty of Medicine and Health, Brain and Mind Centre, Central Clinical School, University of Sydney, Sydney, New South Wales, Australia.

出版信息

BMJ Open. 2019 Jul 9;9(7):e027781. doi: 10.1136/bmjopen-2018-027781.

Abstract

OBJECTIVES

Social capital which implies 'features of social organisation, such as trust, norms and networks that can improve the efficiency of society by facilitating coordinated actions' is rarely assessed in relation to maternal health in low/middle-income countries (LMICs). A main reason for this research gap could be the unavailability of a specific tool to measure social capital in pregnancy. The study developed and validated an instrument to measure social capital among pregnant women.

SETTING

We developed the tool based on World Bank Social Capital Assessment Tool and its adaptations identified as applicable to LMIC from an initial systematic review. The study was conducted in Anuradhapura district in the North Central Province of Sri Lanka. Validation process was conducted in urban, rural and resettled communities.

PARTICIPANTS

Study participants of the cognitive validation included pregnant women from the three communities, and an expert panel including a social scientist, methodological expert, subject expert, public health officers. The psychometric validation was performed on 439 pregnant women permanently residing in the three communities.

RESULTS

The 24-item Low and middle income countries Social Capital Assessment Tool for Maternal Health (LSCAT-MH) demonstrated high internal consistency (Cronbach's α=0.94). Factor analytical methods suggested a four-factor model of (1) neighbourhood networks (structural bonding), (2) domestic and neighbourhood cohesion (cognitive bonding), (3) social contribution and (4) social participation (structural bridging). Concurrent validity with antenatal mental ill health was confirmed through a negative correlation with the Edinburgh Postpartum Depression Scale. Test-retest reliability was high with intraclass correlation of 0.71 and a Pearson correlation of 0.83.

CONCLUSION

The LSCAT-MH is a psychometrically valid and reliable tool to measure social capital in pregnancy. Predictive validity was not tested as the study was not a longitudinal follow-up.

摘要

目的

社会资本是指“组织的特征,如信任、规范和网络,可以通过促进协调行动来提高社会效率”,在中低收入国家(LMICs)很少与产妇健康相关联。造成这一研究差距的一个主要原因可能是缺乏专门用于衡量妊娠期间社会资本的工具。本研究开发并验证了一种用于衡量孕妇社会资本的工具。

背景

我们基于世界银行社会资本评估工具(World Bank Social Capital Assessment Tool)及其适应性制定了该工具,这些适应性是从最初的系统评价中确定的,适用于 LMIC。该研究在斯里兰卡中北部的阿努拉德普勒区进行。验证过程在城市、农村和重新安置社区进行。

参与者

认知验证的研究参与者包括来自三个社区的孕妇,以及一个专家小组,包括社会科学家、方法专家、主题专家、公共卫生官员。心理测量验证是在三个社区内永久居住的 439 名孕妇中进行的。

结果

24 项低和中收入国家孕产妇健康社会资本评估工具(LSCAT-MH)显示出较高的内部一致性(Cronbach's α=0.94)。因子分析方法表明存在四个因素模型:(1)邻里网络(结构联系),(2)家庭和邻里凝聚力(认知联系),(3)社会贡献,以及(4)社会参与(结构桥接)。通过与爱丁堡产后抑郁量表的负相关,证实了与产前心理健康的同时效度。重测信度较高,组内相关系数为 0.71,皮尔逊相关系数为 0.83。

结论

LSCAT-MH 是一种测量妊娠期间社会资本的心理测量学上有效且可靠的工具。由于该研究不是纵向随访,因此没有测试预测效度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c85/6629403/86991b196fce/bmjopen-2018-027781f01.jpg

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