scholarly journals Mobilizing Knowledge: A Comprehensive Toolkit for Quality Assured Nutrition Data and Piloting Gender Indicators

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1159-1159
Author(s):  
Colin Beckworth ◽  
Alison Riddle ◽  
Victoria Sauveplane-Stirling ◽  
Daniel Sellen ◽  
Vivian Welch ◽  
...  
Keyword(s):  
Data Quality ◽  
Child Nutrition ◽  
Statistical Modelling ◽  
Sampling Bias ◽  
Folic Acid Supplementation ◽  
Oral Rehydration ◽  
Household Level ◽  
Child Nutrition Programs ◽  
Related Data ◽  
Assess Quality

Abstract Objectives Nutrition International (NI) sought to standardize and add novel indicators to the multiple coverage surveys conducted each year on maternal, newborn, infant and child nutrition programs to assure quality and timely, gender-related data that meets next-generation monitoring needs. Methods In collaboration with Campbell Collaboration (CC) and University of Toronto (UT), NI developed a comprehensive step-wise survey toolkit with multiple intervention modules using a systematic process for selecting and contextualizing indicators (NI), validating data quality (NI-UT) and piloting gender indicators derived based on statistical modelling results using Demographic and Health Survey gender and nutrition related data (CC-NI). The resulting Nutrition Information Monitoring Systems (NIMS) toolkit now includes ODK formatted questionnaire templates, quality control and assurance checklists and ready-to-use SPSS syntax for data analysis and interpretation purposes. NIMS derives its results from household-level information through the following modules: zinc and Oral Rehydration Salts coverage for diarrhea treatment, maternal-newborn nutrition, weekly iron-folic acid supplementation among adolescent girls, and infant and young child nutrition – each with selected knowledge components and newly-devised gender-related questions to inform NI's nutrition-sensitive programs. Selected modules were implemented in NI's ten intervention countries 2019–20. Results Application of these procedures and quality metrics allowed NI program officers to: 1) systematically assess quality during data collection – identifying and correcting surveyor errors and potential sampling bias in a timely fashion, 2) validate and visually demonstrate data quality to relevant stakeholders, and 3) produce quality assured data within 1–3 weeks, compared to 1–3 months for previous surveys that did not use the NIMS procedures and tools. Conclusions This systematic approach facilitated reporting timely, quality assured nutrition program data to inform how NI interventions and gender-related analyses will identify how NI's programming can be more gender-responsive. Funding Sources CanWaCH, Global Affairs Canada and Nutrition International.

scholarly journals EEG Data Quality: Determinants and Impact in a Multicenter Study of Children, Adolescents, and Adults with Attention-Deficit/Hyperactivity Disorder (ADHD)

2021 ◽  
Vol 11 (2) ◽  
pp. 214
Author(s):  
Anna Kaiser ◽  
Pascal-M. Aggensteiner ◽  
Martin Holtmann ◽  
Andreas Fallgatter ◽  
Marcel Romanos ◽  
...  
Keyword(s):  
Data Quality ◽  
Large Scale ◽  
Linear Models ◽  
Spectral Power ◽  
Control Group ◽  
Continuous Performance Task ◽  
Related Data ◽  
Eyes Closed ◽  
Eeg Data ◽  
Eyes Open

Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (ntotal = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value.

scholarly journals Can Monitoring Make It Happen? An Assessment of How Reporting, Monitoring, and Evaluation Can Support Local Wellness Policy Implementation in US Schools

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 193
Author(s):  
Lindsey Turner ◽  
Yuka Asada ◽  
Julien Leider ◽  
Elizabeth Piekarz-Porter ◽  
Marlene Schwartz ◽  
...  
Keyword(s):  
Policy Implementation ◽  
Policy Development ◽  
Child Nutrition ◽  
Monitoring And Evaluation ◽  
School Nutrition ◽  
Wellness Policy ◽  
Cost Study ◽  
Child Nutrition Programs ◽  
Local Wellness Policy ◽  
Nationally Representative

US school districts participating in federal child nutrition programs are required to develop a local wellness policy (LWP). Each district is allowed flexibility in policy development, including the approaches used for policy reporting, monitoring, and evaluation (RME). The aim of this convergent mixed-methods study was to quantitatively examine RME provisions in policies among a nationally representative sample of districts in the 2014–2015 school year in order to examine whether policies were associated with RME practices in those districts, and to qualitatively examine perceived challenges to RME practices. Data were compiled through the School Nutrition and Meal Cost Study and the National Wellness Policy Study. In multivariable regression models accounting for demographics, survey respondents were significantly more likely to report that their district had informed the public about LWP content and implementation, if there was a relevant policy provision in place. Having a strong policy (as compared to no policy) requiring evaluation was associated with reports that the district had indeed evaluated implementation. Having definitive/required provisions in policies was significantly associated with actual use of RME practices. RME activities are an important part of policy implementation, and these results show that policy provisions addressing RME activities must be written with strong language to require compliance. In interviews with 39 superintendents, many reported that RME activities are challenging, including difficulty determining how to monitor and show impact of their district’s wellness initiatives. Furthermore, the qualitative results highlighted the need for vetted tools that are freely available, widely used, and feasible for districts to use in assessing their progress toward meeting the goals in their LWPs.

Data Quality of Longitudinally Collected Patient-Reported Outcomes (PROs) after Thoracic Surgery: A Comparison of Paper- and Web-Based Assessments (Preprint)

2021 ◽  
Author(s):  
Hongfan Yu ◽  
Qingsong Yu ◽  
Yuxian Nie ◽  
Wei Xu ◽  
Yang Pu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Thoracic Surgery ◽  
Data Quality ◽  
Severe Disease ◽  
Sampling Bias ◽  
Patient Reported Outcome ◽  
Web Based ◽  
Quality Of Life Scale ◽  
Patient Reported

BACKGROUND High-frequent patient-reported outcome (PRO) assessments are used to measure patients’ symptoms after surgery for surgical research; however, quality of those longitudinal PRO data has seldom been discussed. OBJECTIVE To describe errors, to identify factors influencing the data quality, and to profile error trajectories of data longitudinally collected via paper-and-pencil (P&P) or web-based-assessment (ePRO) after thoracic surgery. METHODS We extracted longitudinal PRO data from two prospective clinical studies. PROs were assessed by the MD Anderson Symptom Inventory Lung Cancer Module and single-item Quality of Life Scale before surgery and then daily after surgery until discharge or up to 14 days of hospitalization. Patient compliance and data error were identified and compared between P&P and ePRO. Generalized estimating equations models and two-piecewise models were used to describe trajectories of error incidence over time and to identify the risk factors. RESULTS Among 629 patients with at least 2 PRO assessments, 440 completed 3347 P&P assessments and 189 completed 1291 ePRO assessments. In total, 49.44% of patients had at least 1 error, including 1) missing items (64.69%), 2) modifications without signatures (27.99%), 3) selection of multiple options (3.02%), 4) missing patient signatures (2.54%), 5) missing researcher signatures (1.45%) and 6) missing completion dates (0.3%). ePRO patients had fewer errors than P&P patients (30.16% vs. 57.73%, p <0.0001). Compared with ePRO patients, those using P&P were older, less educated and sicker. Common risk factors of having errors were with a lower education level (P&P, OR=1.39, 95%CL=1.20-1.62, p<.0001; ePRO, OR=1.82, 95%CI=1.22-2.72, p=0.0032), treated in a provincial hospital (P&P, OR=3.34, 95%CI=2.10-5.33, p<.0001; ePRO, OR=4.73, 95%CI=2.18-10.25, p<.0001) and with severe disease (P&P, OR=1.63, 95%CI=1.33-1.99, p<.0001; ePRO, OR=2.70, 95%CI=1.53-4.75, p=0.0006). Errors peaked on postoperative day (POD) 1 for P&P, and on POD 2 for ePRO. CONCLUSIONS ePRO might be superior to P&P in terms of data quality. However, sampling bias needs to be considered for studies using longitudinal PROs as major outcomes.

scholarly journals What influences the sustainability of community‐based child nutrition programs in the Peruvian highlands?

2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
Sunny S Kim ◽  
Hilary Creed-Kanashiro ◽  
Rosario Bartolini ◽  
Mark A Constas ◽  
Jean-Pierre Habicht ◽  
...  
Keyword(s):  
Child Nutrition ◽  
Community Based ◽  
Child Nutrition Programs ◽  
Nutrition Programs

scholarly journals The Importance of Women's Involvement in Economic Activities in the Improvement of Child Nutrition and Health

1988 ◽  
Vol 10 (3) ◽  
pp. 1-9 ◽  
Author(s):  
Beatrice Lorge Rogers ◽  
Nadia Youssef
Keyword(s):  
Developing Countries ◽  
Child Care ◽  
Health Education ◽  
Social Services ◽  
Child Nutrition ◽  
Economic Systems ◽  
Women's Groups ◽  
Economic Activities ◽  
Nutrition And Health ◽  
Household Level

Rogers and Youssef believe that nutrition programmes “need to recognize explicitly that nutritional problems often have their origins in social and economic systems, and that these problems can be solved only by bringing about changes in these systems, particularly at the household level.” They state that social services are suffering from a shrinking of government resources in developing countries, and stress that women must draw on their own resources to better their nutritional and health statue Their proposals promote not only more entrepreneurship for women but also organizations of women, including unions. They also discuss the development of co-operative child-care, which would help women to conserve some of their resources. Rogers and Youssef assert that women's groups started for economic purposes can be successful forums for nutrition and health education, and they provide examples of groups that have carried out all of these functions.

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