Skip Navigation

Strengthen the Evidence for Maternal and Child Health Programs

Sign up for MCHalert eNewsletter

Search Results: MCHLine

Items in this list may be obtained from the sources cited. Contact information reflects the most current data about the source that has been provided to the MCH Digital Library.

Displaying records 1 through 10 (10 total).

Nurtur Care. 2025. Nurtur . ,

Annotation: This website describes nurtur, a digital health platform that uses artificial intelligence to predict and prevent postpartum depression in mothers. The platform works with Ob/Gyns to identify at-risk patients early in pregnancy and provides personalized self-guided therapy and ongoing support throughout the pregnancy journey. Using a three-phase approach across trimesters—discovery, prevention, and engagement—nurtur offers tools that have been proven to prevent over 50% of postpartum depression cases. The platform features a collaborative care model that integrates primary care providers, behavioral care managers, and psychiatric consultants, while being reimbursable through health insurance. In beta testing as of April 2025.

Contact: Nurtur Care, E-mail: [email protected] Web Site: https://nurturcare.com

Keywords: Artificial intelligence, Mobile Apps, Obstetrics, Patient education, Postpartum care, Postpartum depression, Prevention, Resources for professionals, Screening, Service integration, Telemedicine

U.S. Government Accountability Office . 2024. Artificial intelligence: Generative AI technologies and their commercial applications. Washington, DC: U.S. Government Accountability Office, 12 pp.

Annotation: This report examines the development, capabilities, and potential applications of generative artificial intelligence (AI) technology. It explains how generative AI differs from conventional AI in its ability to create novel content, requirements for vast training data, and model complexity. The report describes various model architectures like transformers and diffusion models, discusses factors enabling commercial development including computing advances and new refinement techniques, and explores potential applications across software engineering, business, education, and healthcare sectors. Based on literature reviews and interviews with leading AI companies, it provides an overview of commercially developed generative AI products and their capabilities as of April 2024, while noting both opportunities and risks associated with this rapidly evolving technology.

Contact: U.S. Government Accountability Office, 441 G Street, N.W., Washington, DC 20548, Telephone: (202) 512-3000 E-mail: [email protected] Web Site: http://www.gao.gov

Keywords: Artificial intelligence, Technology, Learning, Problem solving

Pan American Health Organization . 2021. Artificial intelligence in public health . Washington, DC: Pan American Health Organization , 6 pp.

Annotation: This toolkit provides guidance on the implementation of Artificial Intelligence in public health (AI4PH). The document outlines 8 key guiding principles for AI4PH interventions, including people-centered approaches, ethical foundations, transparency, data protection, scientific integrity, openness, nondiscrimination, and human control requirements. It details various AI components and sub-fields relevant to public health, such as machine learning, natural language processing, robotics, and computer vision, providing specific examples of their current applications with references to published research. The document also discusses implementation considerations around ethical principles, regulatory frameworks, and integration with the Pan American Health Organization's (PAHO's) broader digital transformation principles for public health. This technical guidance was developed collaboratively by PAHO with support from multiple international development agencies and academic institutions to help standardize and guide the responsible adoption of AI technologies in public health settings across the Americas.

Contact: Pan American Health Organization, 525 23rd Street, N.W., Washington, DC 20037, Telephone: (202) 974-3000 Web Site: http://new.paho.org

Keywords: Artificial intelligence, Guidelines, Public health, Technology

Horta BL, BahlR, Matines JC, Victora CG. 2007. Evidence on the long-term effects of breastfeeding: Systematic reviews and meta-analysis. Geneva, Switzerland: World Health Organization, 52 pp.

Annotation: This report contains a review and analysis of literature on the association between breastfeeding and long-term health consequences, including blood pressure, diabetes and related indicators, serum cholesterol, overweight and obesity, and intellectual performance. The report discusses general methodological issues in studies of the long-term effects of breastfeeding, and discusses the study's literature search and review methods.

Contact: World Health Organization, 20, Avenue Appia, Geneva, Switzerland , Telephone: (+ 41 22) 791 21 11 Fax: (+ 41 22) 791 3111 E-mail: [email protected] Web Site: http://www.who.int/en Available from the website. Document Number: ISBN 978-92-4-159523-0.

Keywords: Blood pressure, Breastfeeding, Diabetes, Intelligence, Literature reviews, Obesity, Statistical analysis

Miller J, ed. and Business Intellegence Braintrust. 2000. Millennium intelligence: Understanding and conducting competitive intelligence in the digital age. Medford, NJ: Information Today, 276 pp.

Hart B, Risley TR. 1995. Meaningful differences in the everyday experience of young American children. Baltimore, MD: Paul H. Brookes Publishing Company, 268 pp.

Annotation: This book describes a study of children ages one to three, their family interactions, their language development, and the effects that variations in these had on their subsequent intelligence.

Contact: Brookes Publishing, P.O. Box 10624, Baltimore, MD 21285-0624, Telephone: (800) 638-3775 Secondary Telephone: (410) 337-9580 Fax: (410) 337-8539 E-mail: [email protected] Web Site: http://www.brookespublishing.com $22.00.

Keywords: Child development, Intelligence, Language development, Longitudinal studies, Low income groups, Parenting

Streissgut A. 1987. Prenatal Aspirin and Acetaminophen: 7-Year Follow-Up [Final report]. Seattle, WA: University of Washington,

Annotation: The purpose of this study was to examine the long-term effects of prenatal exposure to aspirin and acetaminophen using three measures of outcome in seven-year-old children: Attentional parameters; IQ scores; and height, weight, and head circumference. The study followed 531 first-born singletons whose mothers had been interviewed prenatally in 1974/75. Among the findings were: (1) Prenatal acetaminophen exposure was not significantly associated with attention, IQ score, weight, or head circumference but it was significantly associated with offspring height at seven years; and (2) prenatal aspirin exposure was associated with significantly poorer attention and lower IQ scores, but not with decrements in height, weight, or head circumference. [Funded by the Maternal and Child Health Bureau]

Contact: National Technical Information Service, O.S. Department of Commerce, 5301 Shawnee Road, Alexandria, VA 22312, Telephone: (703) 605-6050 Secondary Telephone: (888) 584-8332 E-mail: [email protected] Web Site: http://www.ntis.gov Document Number: NTIS PB88-173687.

Keywords: Acetaminophen, Aspirin, Attention Deficit Disorder, Intelligence tests, School-age children

Frankenburg WK, ed. 1978. Second International Conference on Developmental Screening. Denver, CO: University of Colorado Medical Center, John F. Kennedy Child Development Center, 335 pp.

Annotation: These proceedings discuss how to promote more and better research in developmental screening. The document presents the work of researchers in the field and critiques of their presentations. Topics addressed were screening tools; predictive indices; developmental profiles; early detection; infant attention; high risk children; developmental approaches to routine health procedures; prediction of school performance and school problems from infant and preschool developmental screening; the impact of community intervention based on early screening; home environment, learning process, and IQ; home screening questionnaires; application of decision analysis in selecting cut-off scores; parent interview predictors of teacher ratings of school adaption; comparison of the Denver Developmental Screening Test (DDST) with the Griffiths Mental Developmental Scales (GMDS); two or three stage screening procedure comparison; comparison between the mailing method and office method of the prescreening developmental questionnaire; implementing a comprehensive screening system without reinventing the wheel; temperament and the handicapped child; and Boel screening in Sweden and Finland.

Keywords: Academic achievement, Child development, Conferences, Developmental screening, Early intervention, High risk children, Infants, Intelligence tests, Learning, Parents, Research, Screening tests, Temperament

Broman SH, Nichols PL, Kennedy WA. 1975. Preschool IQ: Prenatal and early developmental correlates. Hillsdale, NJ: Lawrence Erlbaum Associates, 326 pp.

Annotation: This volume reports a multidisciplinary, longitudinal study of the precursors of intelligence, as measured by Stanford-Binet IQ scores, of 4-year-old children. Considered are the degree to which events during pregnancy and delivery, physical and psychomotor development in infancy and childhood, and certain major family characteristics were related to IQ scores. The book challenges the assertion that IQ is largely heritable.

Keywords: Early childhood development, Family characteristics, Intelligence, Intelligence tests, Labor, Pregnancy, Preschool children

U.S. Children's Bureau. 1958-1966. Your gifted child. Washington, DC: U.S. Government Printing Office, irregular. (Children's Bureau publication: no. 371)

Annotation: This brochure is designed to help parents of gifted children and professionals serving them to understand these children and their development. The topics addressed are how a bright child relates to a world that operates more slowly, how to parent such a child, and how to help this kind of child develop his fullest potential in life. It is a publication of the U.S. Department of Labor, Children's Bureau.

Contact: Maternal and Child Health Library at Georgetown University, E-mail: [email protected] Web Site: https://www.mchlibrary.org Available from the website.

Keywords: Child development, Children, Intellectual development, Intelligence
   

The MCH Digital Library is one of six special collections at Geogetown University, the nation's oldest Jesuit institution of higher education. It is supported in part by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under award number U02MC31613, MCH Advanced Education Policy with an award of $700,000/year. The library is also supported through foundation and univerity funding. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.