Development of a Data Visualization Tool to Evaluate the Impact of a Maternal and Child Health (MCH) Nutrition Training Program on MCH Populations.
Introduction: Maternal 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 t...
| Publicado en: | Maternal & Child Health Journal Vol. 27; no. 4; pp. 611 - 621 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162508353&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162508353 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Apr2023 vid: 27 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 162508353 162191562 162508353 162508353 10.1007/s10995-023-03606-7 162508353 ppf: 611 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development of a Data Visualization Tool to Evaluate the Impact of a Maternal and Child Health (MCH) Nutrition Training Program on MCH Populations. aug: au: McElrone, Marissa Evans, Julianne Steeves, Elizabeth Anderson Barroso, Cristina S. Spence, Marsha affil: Department of Health and Human Performance, The University of Tennessee-Chattanooga, 210 Metropolitan Building, 615 McCallie Ave, 37403, Chattanooga, TN, USA sug: subj: Maternal-Child Health Evaluation Nutrition Education Alumni Education Maternal-Child Health Education Clinical Assessment Tools Instrument Validation Instrument Construction Human Validation Studies Interviews Reliability and Validity Test-Retest Reliability Surveys Content Validity Face Validity Convenience Sample Descriptive Statistics Data Analysis Software Public Health Feedback Funding Source ab: Introduction: Maternal 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. Methods: First, 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. Results: Most 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. Conclusion: The 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. Significance: Maternal and Child Health (MCH) Nutrition Training Programs currently use metrics like student grade point average, graduation rates, and post-graduation employment status to evaluate the production of successful trainees. However, tools to measure the impact of program alumni on the MCH population through their current employment are limited. This study provides the groundwork and instruments to allow MCH training programs and other workforce development investments to collect these metrics, demonstrate the program reach to MCH populations, and communicate program strengths and needed investments to key stakeholders through data visualization. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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