Dataset Information

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

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 ?=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.

SUBMITTER: Agampodi TC

PROVIDER: S-EPMC6629403 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

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

Agampodi Thilini C TC Agampodi Suneth B SB Glozier Nick N Lelwala T A TA Sirisena K D P S KDPS Siribaddana Sisira S

BMJ open 20190709 7

<h4>Objectives</h4>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 wo ...[more]

PMID: 31289074

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Project description:BACKGROUND:For every maternal death, 20 to 30 women are estimated to have morbidities related to pregnancy or childbirth. Much of this burden of disease is in women in low- and middle-income countries. Maternal multimorbidity can include physical, psychological and social ill-health. Limited data exist about the associations between these morbidities. In order to address all health needs that women may have when attending for maternity care, it is important to be able to identify all types of morbidities and understand how each morbidity influences other aspects of women's health and wellbeing during pregnancy and after childbirth. METHODS:We systematically reviewed published literature in English, describing measurement of two or more types of maternal morbidity and/or associations between morbidities during pregnancy or after childbirth for women in low- and middle-income countries. CINAHL plus, Global Health, Medline and Web of Science databases were searched from 2007 to 2018. Outcomes were descriptions, occurrence of all maternal morbidities and associations between these morbidities. Narrative analysis was conducted. RESULTS:Included were 38 papers reporting about 36 studies (71,229 women; 60,911 during pregnancy and 10,318 after childbirth in 17 countries). Most studies (26/36) were cross-sectional surveys. Self-reported physical ill-health was documented in 26 studies, but no standardised data collection tools were used. In total, physical morbidities were included in 28 studies, psychological morbidities in 32 studies and social morbidities in 27 studies with three studies assessing associations between all three types of morbidity and 30 studies assessing associations between two types of morbidity. In four studies, clinical examination and/or basic laboratory investigations were also conducted. Associations between physical and psychological morbidities were reported in four studies and between psychological and social morbidities in six. Domestic violence increased risks of physical ill-health in two studies. CONCLUSIONS:There is a lack of standardised, comprehensive and routine measurements and tools to assess the burden of maternal multimorbidity in women during pregnancy and after childbirth. Emerging data suggest significant associations between the different types of morbidity. SYSTEMATIC REVIEW REGISTRATION NUMBER:PROSPERO CRD42018079526.

Project description:BackgroundPrevalence of stunting is frequently used as a marker of population-level child undernutrition. Parental height varies widely in low- and middle-income countries (LMIC) and is also a major determinant of stunting. While stunting is a useful measure of child health, with multiple causal components, removing the component attributable to parental height may in some cases be helpful to identify shortcoming in current environments.MethodsWe estimated maternal height-standardized prevalence of stunting (SPS) in 67 LMICs and parental height-SPS in 20 LMICs and compared with crude prevalence of stunting (CPS) using data on 575,767 children under-five from 67 Demographic and Health Surveys (DHS). We supplemented the DHS with population-level measures of other child health outcomes from the World Health Organization's (WHO) Global Health Observatory and the United Nations' Inter-Agency Group for Child Mortality Estimation. Prevalence of stunting was defined as percentage of children with height-for-age falling below -2 z-scores from the median of the 2006 WHO growth standard.ResultsThe average CPS across countries was 27.8% (95% confidence interval [CI], 27.5-28.1%) and the average SPS was 23.3% (95% CI, 23.0-23.6%). The rank of countries according to SPS differed substantially from the rank according to CPS. Guatemala, Bangladesh, and Nepal had the biggest improvement in ranking according to SPS compared to CPS, while Gambia, Mali, and Senegal had the biggest decline in ranking. Guatemala had the largest difference between CPS and SPS with a CPS of 45.2 (95% CI, 43.7-46.9%) and SPS of 14.1 (95% CI, 12.6-15.8%). Senegal had the largest increase in the prevalence after standardizing maternal height, with a CPS of 28.0% (95% CI, 25.8-30.2%) and SPS of 31.6% (95% CI, 29.5-33.8%). SPS correlated better than CPS with other population-level measures of child health.ConclusionOur study suggests that CPS is sensitive to adjustment for maternal height. Maternal height, while a strong predictor of child stunting, is not amenable to policy interventions. We showed the plausibility of SPS in capturing current exposures to undernutrition and infections in children.

Dataset Information

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

Objectives

Setting

Participants

Results

Conclusion

Publications

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

Similar Datasets

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