ArticleJMIR public health and surveillance
Implementation of a Multimodal Mobile System for Point-of-Sale Surveillance: Lessons Learned From Case Studies in Washington, DC, and New York City.
Article in JMIR public health and surveillance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Developing public health surveillance dashboards: a scoping review on the design principles.BMC public health · 2024Article
- Documenting the Impact Potential of a Menthol Cigarette Ban at Point-of-Sale: A Photograph-Based Analysis of the Presence and Placement of Menthol Versus Regular Cigarette Packs on the Shelves of Tobacco Retail Outlets in New York City.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Inequitable Distribution of FTP Marketing by Neighborhood Characteristics: Further Evidence for Targeted Marketing.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales.Urban informatics · 2022Review
- Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning-Based Methodology.Journal of medical Internet research · 2021Article
- Locating Medical and Recreational Cannabis Outlets for Research Purposes: Online Methods and Observational Study.Journal of medical Internet research · 2020Observational
- PhenX: Vector measures for tobacco regulatory research.Tobacco control · 2020Article
- Individual Mobility and Uncertain Geographic Context: Real-time Versus Neighborhood Approximated Exposure to Retail Tobacco Outlets Across the US.Journal of healthcare informatics research · 2019Article
- Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research.Addictive behaviors · 2018Review
- Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA).Social psychiatry and psychiatric epidemiology · 2016Review
- Development and Implementation of Culturally Tailored Offline Mobile Health Surveys.JMIR public health and surveillance · 2016Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn tobacco control and other fields, point-of-sale surveillance of the retail environment is critical for understanding industry marketing of products and informing public health practice. Innovations in mobile technology can improve existing, paper-based surveillance methods, yet few studies describe in detail how to operationalize the use of technology in public health surveillance.
objectiveThe aims of this paper are to share implementation strategies and lessons learned from 2 tobacco, point-of-sale surveillance projects to inform and prepare public health researchers and practitioners to implement new mobile technologies in retail point-of-sale surveillance systems.
methodsFrom 2011 to 2013, 2 point-of-sale surveillance pilot projects were conducted in Washington, DC, and New York, New York, to capture information about the tobacco retail environment and test the feasibility of a multimodal mobile data collection system, which included capabilities for audio or video recording data, electronic photographs, electronic location data, and a centralized back-end server and dashboard. We established a preimplementation field testing process for both projects, which involved a series of rapid and iterative tests to inform decisions and establish protocols around key components of the project.
resultsImportant components of field testing included choosing a mobile phone that met project criteria, establishing an efficient workflow and accessible user interfaces for each component of the system, training and providing technical support to fieldworkers, and developing processes to integrate data from multiple sources into back-end systems that can be utilized in real-time.
conclusionsA well-planned implementation process is critical for successful use and performance of multimodal mobile surveillance systems. Guidelines for implementation include (1) the need to establish and allow time for an iterative testing framework for resolving technical and logistical challenges; (2) developing a streamlined workflow and user-friendly interfaces for data collection; (3) allowing for ongoing communication, feedback, and technology-related skill-building among all staff; and (4) supporting infrastructure for back-end data systems. Although mobile technologies are evolving rapidly, lessons learned from these case studies are essential for ensuring that the many benefits of new mobile systems for rapid point-of-sale surveillance are fully realized.
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