Evidence map›Paper›PMID 33334359›Full record

ArticleReproductive health2020

Development of the Global Network for Women's and Children's Health Research's socioeconomic status index for use in the network's sites in low and lower middle-income countries.

Archana B Patel, Carla M Bann, Ana L Garces, Nancy F Krebs, Adrien Lokangaka, Antoinette Tshefu, Carl L Bose, Sarah Saleem, Robert L Goldenberg, Shivaprasad S Goudar and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in Reproductive health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01073475 (Global Network for Women's and Children's Health Research Maternal Newborn Health Registry), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01073475 recruitingnot on this map

Global Network for Women's and Children's Health Research Maternal Newborn Health Registry

TypeobservationalSponsorNICHD Global Network for Women's and Children's HealthRan2008 to 2030Enrolled950,000ConditionsPregnancy Outcome Trends in Low-resource Geographic AreasArmsThere is no intervention associated with the parent MNHR study. For the MNHR COVID sub-study, participants will be asked to provide a blood specimen at or near delivery.
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Archana B PatelLata Medical Research Foundation, Nagpur, India.
Carla M BannRTI International, Research Triangle Park, NC, USA.
Ana L GarcesINCAP, Guatemala City, Guatemala.
Nancy F KrebsUniversity of Colorado, Denver, CO, USA.
Adrien LokangakaKinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Antoinette TshefuKinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Carl L BoseUniversity of North Carolina At Chapel Hill, Chapel Hill, NC, USA.
Sarah SaleemAga Khan University, Karachi, Pakistan.
Robert L GoldenbergDepartment of Obstetrics and Gynecology, Columbia University, New York, NY, USA.
Shivaprasad S GoudarKLE Academy of Higher Education and Research's J N Medical College, Belagavi, India.
Richard J DermanThomas Jefferson University, Philadelphia, PA, USA.
Elwyn ChombaUniversity of Zambia, Lusaka, Zambia.
Waldemar A CarloUniversity of Alabama At Birmingham, Birmingham, AL, USA.
Fabian EsamaiMoi University, Eldoret, Kenya.
Edward A LiechtyIndiana University, Indianapolis, IN, USA.
Marion Koso-ThomasEunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, USA.
Elizabeth M McClureRTI International, Research Triangle Park, NC, USA.ORCID http://orcid.org/0000-0001-8659-5444
Patricia L HibberdDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA. plh0@bu.edu.

Funding

Global Network for Women's and Children's Health Research Data Coordinating CenterU24HD092094 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI Elizabeth M McClure · 2017 to 2026
$17.8M
The University of North Carolina-Kinshasa School of Public Health Research Partnership in the Democratic Republic of Congo; a Model for Improving Women'sand Children's Health Through ResearchUG1HD076465 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MELISSA SCHWEIKHART BAUSERMAN · 2018 to 2026
$5.6M
Boston University/Lata Medical Research Foundation Global Network for Women's Children's Health Research UnitUG1HD078439 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Patricia L Hibberd · 2018 to 2026
$5.5M
TJU-JNMC Global Network for Women's & Children's Health Research UnitUG1HD076457 · NICHD · THOMAS JEFFERSON UNIVERSITY · PI RICHARD J DERMAN · 2018 to 2026
$5.5M
Nutrition-specific interventions to improve long-term maternal-child health outcomesUG1HD076474 · NICHD · UNIVERSITY OF COLORADO DENVER · PI Edwin Jose Asturias, NANCY F KREBS · 2018 to 2026
$5.4M
Columbia University/Aga Khan University Global Network Research UnitUG1HD078438 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ROBERT L GOLDENBERG · 2018 to 2026
$5.1M
Global Network for Women's and Children's Health ResearchUG1HD076461 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI BUCHER, SHERRI LYNN, SZYLD, EDGARDO GABRIEL · 2018 to 2023
$3.2M
NICHD NIH HHS U24 HD092094NICHD NIH HHS UG1 HD076457NICHD NIH HHS UG1 HD076461NICHD NIH HHS UG1 HD076465NICHD NIH HHS UG1 HD076474NICHD NIH HHS UG1 HD078438NICHD NIH HHS UG1 HD078439
6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) is an important determinant of health globally and an important explanatory variable to assess causality in epidemiological research. The 10th Sustainable Development Goal is to reduce disparities in SES that impact health outcomes globally. It is easier to study SES in high-income countries because household income is representative of the SES. However, it is well recognized that income is poorly reported in low- and middle- income countries (LMIC) and is an unreliable indicator of SES. Therefore, there is a need for a robust index that will help to discriminate the SES of rural households in a pooled dataset from LMIC.

methodsThe study was nested in the population-based Maternal and Neonatal Health Registry of the Global Network for Women's and Children's Health Research which has 7 rural sites in 6 Asian, sub-Saharan African and Central American countries. Pregnant women enrolling in the Registry were asked questions about items such as housing conditions and household assets. The characteristics of the candidate items were evaluated using confirmatory factor analyses and item response theory analyses. Based on the results of these analyses, a final set of items were selected for the SES index.

resultsUsing data from 49,536 households of pregnant women, we reduced the data collected to a 10-item index. The 10 items were feasible to administer, covered the SES continuum and had good internal reliability and validity. We developed a sum score-based Item Response Theory scoring algorithm which is easy to compute and is highly correlated with scores based on response patterns (r = 0.97), suggesting minimal loss of information with the simplified approach. Scores varied significantly by site (p < 0.001). African sites had lower mean SES scores than the Asian and Central American sites. The SES index demonstrated good internal consistency reliability (Cronbach's alpha = 0.81). Higher SES scores were significantly associated with formal education, more education, having received antenatal care, and facility delivery (p < 0.001).

conclusionsWhile measuring SES in LMIC is challenging, we have developed a Global Network Socioeconomic Status Index which may be useful for comparisons of SES within and between locations. Next steps include understanding how the index is associated with maternal, perinatal and neonatal mortality. Trial Registration NCT01073475 Socioeconomic status (SES) is an important determinant of health globally, and improving SES is important to reduce disparities in health outcomes. It is easier to study SES in high-income countries because it can be measured by income and what income is spent on, but this concept does not translate easily to low and middle income countries. We developed a questionnaire that includes 10 items to determine SES in low-resource settings that was added to an ongoing Maternal and Neonatal Health Registry that is funded by the National Institutes of Child Health and Human Development's Global Network. The Registry includes sites that collect outcomes of pregnancies in women and their babies in rural areas in 6 countries in South Asia, sub-Saharan Africa and Central America. The Registry is population based and tracks women from early in pregnancy to day 42 post-partum. The questionnaire is easy to administer and has good reliability and validity. Next steps include understanding how the index is associated with maternal, fetal and neonatal mortality.

Indexed as

Child HealthMaternal HealthSocial ClassSocial Determinants of HealthChildDeveloping CountriesFemaleGlobal HealthHealthcare DisparitiesHumansInfant, NewbornPregnancyReproducibility of ResultsSurveys and QuestionnairesDeterminants of healthDisparitiesGlobal healthGlobal Network for Women’ and Children’s Health ResearchLower and middle income countries (LMIC)Socioeconomic status

Identifiers

PMID33334359
PMCPMC7745356

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.