scholarly journals Wealth, Health and Child Development: Evidence From Administrative Data on Swedish Lottery Players

Author(s):  
David Cesarini
2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 802-802
Author(s):  
Rasmi Avula ◽  
Purnima Menon ◽  
Sumati Bajaj ◽  
Malvika Saxena ◽  
Shilpa Deshpande ◽  
...  

Abstract Objectives Administrative Data (AD) are a key component of nutrition data systems, but little is known about how AD are used or can be reshaped for accountability and action. We studied factors influencing AD use in India's Integrated Child Development Services (ICDS), in two Indian states; and assessed how an m-Health intervention (Common Application Software (CAS)) changes it. ICDS-AD system consolidates data from 11-recording registers updated every month by ∼1.3 million frontline workers (FLW). CAS digitizes these records and creates dashboards for real-time monitoring. Methods We conducted semi-structured interviews (n = 82) with supervisory staff at sub-district [Lady Supervisors (LS); Child Development Project Officer (CDPO)] and district level [District Program Officer (DPO)] to understand AD use patterns, facilitators and barriers. Data were coded, summarized and analysed across levels of supervisory staff. Results LS supervise FLWs, visit villages monthly to monitor data, and collate it to the sub-district level. Due to limited time and pressures to update AD on time, LS focus on data completeness and not on quality or data use. At the next level, CDPOs review and discuss program targets for indicators with LS, and check data completeness. They create monthly reports on targets for the districts, based on LS reports. At the district, DPOs use compiled reports to review subdistrict performance and discuss any gaps with CDPOs. CAS makes the data entry, compilation and report generation easier for all users. LS can monitor data entry daily in CAS and data collation is automated. CDPOs can review the CAS dashboard and use it to discuss issues with LS and DPOs. However, program target indicators dominate use of data. In CAS areas, these include growth monitoring completion, home visits, identification of malnourished children, and their referral. Overall, data use is target-driven, with indicators for monitoring prioritized by program management. Conclusions Focus of data use has been on reporting up on target indicators rather than on local program improvement, due to staff and time constraints. CAS can address some AD use constraints by easing data entry and data compilation but a data culture that focuses on predetermined target indicators can limit use for local program improvement. Funding Sources Bill & Melinda Gates Foundation via grants to IFPRI and UCSF.


Author(s):  
Chris Playford ◽  
Chris Dibben ◽  
Lee Williamson ◽  
Zengyi Huang

ABSTRACTObjectivesTo evaluate the influences of low birthweight and socioeconomic status upon child development disorders ApproachIt has been recognised that low birthweight and socio-economic status impact cognitive development in children. Previous studies in Scotland investigated this relationship using the Scottish Mental Health Survey 1932, the Growing Up in Scotland (GUS) longitudinal survey, and the Aberdeen Children of the 1950s study. This paper examines this using the Scottish Longitudinal Study (SLS) linked with Maternity Inpatient and Day Case records and Child Health Systems Programme Pre-School (CHSP Pre-School) records. This is original because it extends previous work through large-scale contemporary data which has been routinely collected and is representative of the Scottish population. It also includes a novel design through the use of birth data from parents and children recorded within the SLS. ResultsFrom this research it was identified that these child development measures were strongly associated with gestational-age specific birthweight and that fine motor, social and hearing abnormalities were much more likely for children with parents in lower grade occupations or who were long-term unemployed. These associations were net of other indicators of family socioeconomic position and birth outcomes, suggesting that infants from disadvantaged backgrounds remained more likely to experience these conditions beyond the differences that could be explained by other relevant factors (such as their birthweight). ConclusionThese findings confirm and build upon previous analysis through the use of linked administrative data.


1989 ◽  
Vol 54 (1) ◽  
pp. 101-105 ◽  
Author(s):  
J. Bruce Tomblin ◽  
Cynthia M. Shonrock ◽  
James C. Hardy

The extent to which the Minnesota Child Development Inventory (MCDI), could be used to estimate levels of language development in 2-year-old children was examined. Fifty-seven children between 23 and 28 months were given the Sequenced Inventory of Communication Development (SICD), and at the same time a parent completed the MCDI. In addition the mean length of utterance (MLU) was obtained for each child from a spontaneous speech sample. The MCDI Expressive Language scale was found to be a strong predictor of both the SICD Expressive scale and MLU. The MCDI Comprehension-Conceptual scale, presumably a receptive language measure, was moderately correlated with the SICD Receptive scale; however, it was also strongly correlated with the expressive measures. These results demonstrated that the Expressive Language scale of the MCDI was a valid predictor of expressive language for 2-year-old children. The MCDI Comprehension-Conceptual scale appeared to assess both receptive and expressive language, thus complicating its interpretation.


2012 ◽  
Vol 13 (2) ◽  
pp. 32-42 ◽  
Author(s):  
Yvette D. Hyter

Abstract Complex trauma resulting from chronic maltreatment and prenatal alcohol exposure can significantly affect child development and academic outcomes. Children with histories of maltreatment and those with prenatal alcohol exposure exhibit remarkably similar central nervous system impairments. In this article, I will review the effects of each on the brain and discuss clinical implications for these populations of children.


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