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Jia SS, Luo X, Gibson AA, Partridge SR. Developing the DIGIFOOD Dashboard to Monitor the Digitalization of Local Food Environments: Interdisciplinary Approach. JMIR Public Health Surveill 2024; 10:e59924. [PMID: 39137032 DOI: 10.2196/59924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/20/2024] [Accepted: 07/01/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Online food delivery services (OFDS) enable individuals to conveniently access foods from any deliverable location. The increased accessibility to foods may have implications on the consumption of healthful or unhealthful foods. Concerningly, previous research suggests that OFDS offer an abundance of energy-dense and nutrient-poor foods, which are heavily promoted through deals or discounts. OBJECTIVE In this paper, we describe the development of the DIGIFOOD dashboard to monitor the digitalization of local food environments in New South Wales, Australia, resulting from the proliferation of OFDS. METHODS Together with a team of data scientists, we designed a purpose-built dashboard using Microsoft Power BI. The development process involved three main stages: (1) data acquisition of food outlets via web scraping, (2) data cleaning and processing, and (3) visualization of food outlets on the dashboard. We also describe the categorization process of food outlets to characterize the healthfulness of local, online, and hybrid food environments. These categories included takeaway franchises, independent takeaways, independent restaurants and cafes, supermarkets or groceries, bakeries, alcohol retailers, convenience stores, and sandwich or salad shops. RESULTS To date, the DIGIFOOD dashboard has mapped 36,967 unique local food outlets (locally accessible and scraped from Google Maps) and 16,158 unique online food outlets (accessible online and scraped from Uber Eats) across New South Wales, Australia. In 2023, the market-leading OFDS operated in 1061 unique suburbs or localities in New South Wales. The Sydney-Parramatta region, a major urban area in New South Wales accounting for 28 postcodes, recorded the highest number of online food outlets (n=4221). In contrast, the Far West and Orana region, a rural area in New South Wales with only 2 postcodes, recorded the lowest number of food outlets accessible online (n=7). Urban areas appeared to have the greatest increase in total food outlets accessible via online food delivery. In both local and online food environments, it was evident that independent restaurants and cafes comprised the largest proportion of food outlets at 47.2% (17,437/36,967) and 51.8% (8369/16,158), respectively. However, compared to local food environments, the online food environment has relatively more takeaway franchises (2734/16,158, 16.9% compared to 3273/36,967, 8.9%) and independent takeaway outlets (2416/16,158, 14.9% compared to 4026/36,967, 10.9%). CONCLUSIONS The DIGIFOOD dashboard leverages the current rich data landscape to display and contrast the availability and healthfulness of food outlets that are locally accessible versus accessible online. The DIGIFOOD dashboard can be a useful monitoring tool for the evolving digital food environment at a regional scale and has the potential to be scaled up at a national level. Future iterations of the dashboard, including data from additional prominent OFDS, can be used by policy makers to identify high-priority areas with limited access to healthful foods both online and locally.
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Affiliation(s)
- Si Si Jia
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Xinwei Luo
- Sydney Informatics Hub, University of Sydney, Sydney, Australia
| | - Alice Anne Gibson
- Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Stephanie Ruth Partridge
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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Yanovitzky I, Stahlman G, Quow J, Ackerman M, Perry Y, Kim M. National Public Health Dashboards: Protocol for a Scoping Review. JMIR Res Protoc 2024; 13:e52843. [PMID: 38753428 PMCID: PMC11140273 DOI: 10.2196/52843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic highlighted the importance of robust public health data systems and the potential utility of data dashboards for ensuring access to critical public health data for diverse groups of stakeholders and decision makers. As dashboards are becoming ubiquitous, it is imperative to consider how they may be best integrated with public health data systems and the decision-making routines of diverse audiences. However, additional progress on the continued development, improvement, and sustainability of these tools requires the integration and synthesis of a largely fragmented scholarship regarding the purpose, design principles and features, successful implementation, and decision-making supports provided by effective public health data dashboards across diverse users and applications. OBJECTIVE This scoping review aims to provide a descriptive and thematic overview of national public health data dashboards including their purpose, intended audiences, health topics, design elements, impact, and underlying mechanisms of use and usefulness of these tools in decision-making processes. It seeks to identify gaps in the current literature on the topic and provide the first-of-its-kind systematic treatment of actionability as a critical design element of public health data dashboards. METHODS The scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The review considers English-language, peer-reviewed journal papers, conference proceedings, book chapters, and reports that describe the design, implementation, and evaluation of a public health dashboard published between 2000 and 2023. The search strategy covers scholarly databases (CINAHL, PubMed, Medline, and Web of Science) and gray literature sources and uses snowballing techniques. An iterative process of testing for and improving intercoder reliability was implemented to ensure that coders are properly trained to screen documents according to the inclusion criteria prior to beginning the full review of relevant papers. RESULTS The search process initially identified 2544 documents, including papers located via databases, gray literature searching, and snowballing. Following the removal of duplicate documents (n=1416), nonrelevant items (n=839), and items classified as literature reviews and background information (n=73), 216 documents met the inclusion criteria: US case studies (n=90) and non-US case studies (n=126). Data extraction will focus on key variables, including public health data characteristics; dashboard design elements and functionalities; intended users, usability, logistics, and operation; and indicators of usefulness and impact reported. CONCLUSIONS The scoping review will analyze the goals, design, use, usefulness, and impact of public health data dashboards. The review will also inform the continued development and improvement of these tools by analyzing and synthesizing current practices and lessons emerging from the literature on the topic and proposing a theory-grounded and evidence-informed framework for designing, implementing, and evaluating public health data dashboards. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/52843.
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Affiliation(s)
- Itzhak Yanovitzky
- School of Communication & Information, Rutgers University, New Brunswick, NJ, United States
| | - Gretchen Stahlman
- School of Information, Florida State University, Tallahassee, FL, United States
| | - Justine Quow
- School of Communication & Information, Rutgers University, New Brunswick, NJ, United States
| | - Matthew Ackerman
- School of Communication & Information, Rutgers University, New Brunswick, NJ, United States
| | - Yehuda Perry
- School of Communication & Information, Rutgers University, New Brunswick, NJ, United States
| | - Miriam Kim
- School of Communication & Information, Rutgers University, New Brunswick, NJ, United States
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Marshak A, Young H, Naumova EN. Data on Humanitarian Crises: Who and What Are We Missing? Food Nutr Bull 2023; 44:S124-S126. [PMID: 37021371 DOI: 10.1177/03795721231162429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Affiliation(s)
- Anastasia Marshak
- Feinstein International Center, Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Helen Young
- Feinstein International Center, Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Elena N Naumova
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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Ricci JMS, Romito ALZ, Silva SAD, Carioca AAF, Lourenço BH. Food intake markers in Sisvan: temporal trends in coverage and integration with e-SUS APS, Brazil 2015-2019. CIENCIA & SAUDE COLETIVA 2023. [DOI: 10.1590/1413-81232023283.10552022en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
Abstract The aim of the present study was to estimate the population coverage of recording food intake markers in Brazil’s Food and Nutrition Surveillance System (Sisvan) and mean annual percent change (APC) in coverage according to the system used for data entry (e-SUS APS and Sisvan Web). We conducted an ecological time series study of the period 2015-2019. The data were stratified into region and age group. APC in coverage was calculated using Prais-Winsten regression and the correlation between APC and HDI, GDP per capita and primary healthcare coverage was assessed using Spearman’s correlation coefficient. Population coverage of recording food intake markers at national level was 0.92% in 2019. Mean APC in coverage throughout the period was 45.63%. The region and age group with the highest coverage rate were the Northeast (4.08%; APC=45.76%, p<0.01) and children aged 2-4 years (3.03%; APC=34.62%, p<0.01), respectively. There was an upward trend in data entry using e-SUS APS, to the detriment of Sisvan Web. There was a positive correlation between APC in coverage using e-SUS APS and HDI and GDP per capita in some age groups. Population coverage of recording Sisvan food intake markers remains low across the country. The e-SUS APS has the potential to be an important strategy for expanding food and nutrition surveillance.
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Ricci JMS, Romito ALZ, Silva SAD, Carioca AAF, Lourenço BH. Food intake markers in Sisvan: temporal trends in coverage and integration with e-SUS APS, Brazil 2015-2019. CIENCIA & SAUDE COLETIVA 2023; 28:921-934. [PMID: 36888874 DOI: 10.1590/1413-81232023283.10552022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 09/03/2022] [Indexed: 03/08/2023] Open
Abstract
The aim of the present study was to estimate the population coverage of recording food intake markers in Brazil's Food and Nutrition Surveillance System (Sisvan) and mean annual percent change (APC) in coverage according to the system used for data entry (e-SUS APS and Sisvan Web). We conducted an ecological time series study of the period 2015-2019. The data were stratified into region and age group. APC in coverage was calculated using Prais-Winsten regression and the correlation between APC and HDI, GDP per capita and primary healthcare coverage was assessed using Spearman's correlation coefficient. Population coverage of recording food intake markers at national level was 0.92% in 2019. Mean APC in coverage throughout the period was 45.63%. The region and age group with the highest coverage rate were the Northeast (4.08%; APC=45.76%, p<0.01) and children aged 2-4 years (3.03%; APC=34.62%, p<0.01), respectively. There was an upward trend in data entry using e-SUS APS, to the detriment of Sisvan Web. There was a positive correlation between APC in coverage using e-SUS APS and HDI and GDP per capita in some age groups. Population coverage of recording Sisvan food intake markers remains low across the country. The e-SUS APS has the potential to be an important strategy for expanding food and nutrition surveillance.
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Affiliation(s)
- Joanna Manzano Strabeli Ricci
- Programa de Pós-Graduação Nutrição em Saúde Pública, Faculdade de Saúde Pública, Universidade de São Paulo (USP). Av. Dr. Arnaldo 715, Cerqueira César. 01246-904 São Paulo SP Brasil.
| | | | - Sara Araújo da Silva
- Coordenação-Geral de Alimentação e Nutrição, Ministério da Saúde. Brasília DF Brasil
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Almasi S, Bahaadinbeigy K, Ahmadi H, Sohrabei S, Rabiei R. Usability Evaluation of Dashboards: A Systematic Literature Review of Tools. BIOMED RESEARCH INTERNATIONAL 2023; 2023:9990933. [PMID: 36874923 PMCID: PMC9977530 DOI: 10.1155/2023/9990933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/16/2023] [Accepted: 02/04/2023] [Indexed: 02/25/2023]
Abstract
Introduction In recent years, the use of dashboards in healthcare has been considered an effective approach for the visual presentation of information to support clinical and administrative decisions. Effective and efficient use of dashboards in clinical and managerial processes requires a framework for the design and development of tools based on usability principles. Objectives The present study is aimed at investigating the existing questionnaires used for the usability evaluation framework of dashboards and at presenting more specific usability criteria for evaluating dashboards. Methods This systematic review was conducted using PubMed, Web of Science, and Scopus, without any time restrictions. The final search of articles was performed on September 2, 2022. Data collection was performed using a data extraction form, and the content of selected studies was analyzed based on the dashboard usability criteria. Results After reviewing the full text of relevant articles, a total of 29 studies were selected according to the inclusion criteria. Regarding the questionnaires used in the selected studies, researcher-made questionnaires were used in five studies, while 25 studies applied previously used questionnaires. The most widely used questionnaires were the System Usability Scale (SUS), Technology Acceptance Model (TAM), Situation Awareness Rating Technique (SART), Questionnaire for User Interaction Satisfaction (QUIS), Unified Theory of Acceptance and Use of Technology (UTAUT), and Health Information Technology Usability Evaluation Scale (Health-ITUES), respectively. Finally, dashboard evaluation criteria, including usefulness, operability, learnability, ease of use, suitability for tasks, improvement of situational awareness, satisfaction, user interface, content, and system capabilities, were suggested. Conclusion General questionnaires that were not specifically designed for dashboard evaluation were mainly used in reviewed studies. The current study suggested specific criteria for measuring the usability of dashboards. When selecting the usability evaluation criteria for dashboards, it is important to pay attention to the evaluation objectives, dashboard features and capabilities, and context of use.
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Affiliation(s)
- Sohrab Almasi
- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kambiz Bahaadinbeigy
- Digital Health Team, Australian College of Rural and Remote Medicine, Brisbane, QLD, Australia
- Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Hossein Ahmadi
- Centre for Health Technology, Faculty of Health, University of Plymouth, Plymouth PL4 8AA, UK
| | - Solmaz Sohrabei
- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Rabiei
- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Machado P, McNaughton SA, Livingstone KM, Hadjikakou M, Russell C, Wingrove K, Sievert K, Dickie S, Woods J, Baker P, Lawrence M. Measuring Adherence to Sustainable Healthy Diets: A Scoping Review of Dietary Metrics. Adv Nutr 2023; 14:147-160. [PMID: 36811586 PMCID: PMC10102989 DOI: 10.1016/j.advnut.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 12/27/2022] Open
Abstract
Comprehensive metrics that provide a measure of dietary patterns at global and national levels are needed to inform and assess the effectiveness of policy actions that promote sustainable healthy diets. In 2019, the Food and Agriculture Organization of the United Nations and the World Health Organization reported 16 guiding principles of sustainable healthy diets, but it is still unknown how these principles are considered in dietary metrics. This scoping review aimed to explore how principles of sustainable healthy diets are considered in dietary metrics used worldwide. Forty-eight food-based, investigator-defined dietary pattern metrics assessing diet quality in free-living, healthy populations at the individual or household level were assessed against the 16 guiding principles of sustainable healthy diets, which was used as a theoretical framework. A strong adherence of the metrics to health-related guiding principles was found. Metrics had a weak adherence to principles related to environmental and sociocultural aspects of diets, except for the principle related to diets being culturally appropriate. No existing dietary metric captures all principles of sustainable healthy diets. Notably, the significance food processing, environmental, and sociocultural aspects of diets are generally understated. This likely reflects the lack of focus on these aspects in current dietary guidelines, which highlights the importance of including these emerging topics in future dietary recommendations. The absence of quantitative metrics that comprehensively measure sustainable healthy diets limits the body of evidence that would otherwise inform national and international guideline developments. Our findings can help grow the quantity and quality of the body of evidence available to inform policy activities to realize 2030 Sustainable Development Goals of multiple United Nations. Adv Nutr 2022;x:xx.
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Affiliation(s)
- Priscila Machado
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.
| | - Sarah A McNaughton
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Katherine M Livingstone
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Michalis Hadjikakou
- School of Life and Environmental Sciences, Deakin University, Geelong, Victoria, Australia
| | - Cherie Russell
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Kate Wingrove
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Katherine Sievert
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Sarah Dickie
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Julie Woods
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Phillip Baker
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Mark Lawrence
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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