ArticleMaternal and child health journal2023
Development of a Data Visualization Tool to Evaluate the Impact of a Maternal and Child Health (MCH) Nutrition Training Program on MCH Populations.
Article in Maternal and child health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Meeting clinical recruitment milestones in an academic center: a data-driven, visual approach.JAMIA open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
introductionMaternal and Child Health (MCH) Nutrition Training Programs aim to train graduate-level registered dietitian/nutritionists (RDNs) to improve the health of MCH populations. Metrics exist to evaluate the production and success of skilled graduates; however, metrics are needed regarding the reach of MCH professionals. This study aimed to develop, validate, and administer a survey to estimate the reach of a MCH Nutrition Training Program's alumni within the MCH population.
methodsFirst, content validity of the survey was established with input from an expert panel (n = 4); face validity was established using cognitive interviews (n = 5) with RDNs; a test-retest (n = 37) was conducted to establish instrument reliability. The final survey, emailed to a convenience sample of alumni, received a response rate of 57% s(n = 56 of 98). Descriptive analyses were completed to identify MCH populations that alumni served. Survey responses were used to develop a storyboard.
resultsMost respondents were employed (93%; n = 52) and serving MCH populations (89%; n = 50). Of those serving MCH populations, 72% indicated working with families, 70% with mothers/women, 60% with young adults, 50% with children, 44% with adolescents, 40% with infants, and 26% with children and youth with special health care needs. The storyboard was created and visually represents connections between public health nutrition employment classification, direct reach, and indirect reach of sampled alumni to MCH populations served.
conclusionThe survey and storyboard are important tools that allow MCH Nutrition training programs to demonstrate their reach and to justify the impact of workforce development investments on MCH populations.
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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.