The role of geographic information system and global positioning system in dementia care and research: a scoping review

Firouraghi, Neda; Kiani, Behzad; Tabatabaei‐Jafari, Hossein; Learnihan, Vincent; Salinas-Pérez, José A.; Raeesi, Ahmad; Furst, Mary Anne; Salvador‐Carulla, Luis; Bagheri, Nasser

doi:10.1186/s12942-022-00308-1

Cited by 16 publications

(10 citation statements)

References 137 publications

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“…In outdoor scenarios, a patient's locational data play the main role in the management of wandering. Collecting these data is one of the most important challenges in the development of algorithms and smart healthcare and telemedicine systems for patients with cognitive impairment, which is often performed using technologies such as the Global Navigation Satellite System (GNSS), Global Positioning System (GPS), and Geospatial Information System (GIS) [15].…”

Section: Localization Combined With the Geofence-based Techniquementioning

confidence: 99%

A Wandering Detection Method Based on Processing GPS Trajectories Using the Wavelet Packet Decomposition Transform for People with Cognitive Impairment

Jafarpournaser,

Delavar,

Noroozian

2023

IJGI

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The increasing prevalence of cognitive disorders among the elderly is a significant consequence of the global aging phenomenon. Wandering stands out as the most prominent and challenging symptom in these patients, with potential irreversible consequences such as loss or even death. Thus, harnessing technological advancements to mitigate caregiving burdens and disease-related repercussions becomes paramount. Numerous studies have developed algorithms and smart healthcare and telemedicine systems for wandering detection. Broadly, these algorithms fall into two categories: those estimating path complexity and those relying on historical trajectory data. However, motion signal processing methods are rarely employed in this context. This paper proposes a motion-signal-processing-based algorithm utilizing the wavelet packet transform (WPT) with a fourth-order Coiflet mother wavelet. The algorithm identifies wandering patterns solely based on patients’ positional data on the current traversed path and variations in wavelet coefficients within the frequency–time spectrum of motion signals. The model’s independence from prior motion behavior data enhances its compatibility with the pronounced instability often seen in these patients. A performance assessment of the proposed algorithm using the Geolife open-source dataset achieved accuracy, precision, specificity, recall, and F-score metrics of 83.06%, 92.62%, 83.06%, 83.06%, and 87.58%, respectively. Timely wandering detection not only prevents irreversible consequences but also serves as a potential indicator of progression to severe Alzheimer’s in patients with mild cognitive impairment, enabling timely interventions for preventing disease progression. This underscores the importance of advancing wandering detection algorithms.

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Section: Localization Combined With the Geofence-based Techniquementioning

confidence: 99%

A Wandering Detection Method Based on Processing GPS Trajectories Using the Wavelet Packet Decomposition Transform for People with Cognitive Impairment

Jafarpournaser,

Delavar,

Noroozian

2023

IJGI

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“…Global Positioning System (GPS) and Geographic Information System (GIS) technologies play essential roles to the transformation of healthcare systems, particularly when it comes to medication location. By combining GIS and GPS, a potent toolkit can be developed for improving medication accessibility, resolving distribution issues, and improving public health outcomes [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Geospatial Pharmacy Navigator: A Web and Mobile Application Integrating Geographical Information System (GIS) for Medicine Accessibility

Tinam-isan,

Sandoval,

Neri

et al. 2024

IJACSA

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This project introduces a web and mobile application that integrates Geographic Information Systems (GIS) to identify pharmacies with available prescription drugs, addressing the expanding role of Information and Communication Technology (ICT) in healthcare. The primary objective is to offer the general public an easy-to-use platform that locates the closest pharmacy having the searched drugs or medicines. Adopting the Rapid Application Development methodology ensures continuous engagement with stakeholders, allowing developers to closely align the application with user requirements. Essential elements of the web platform include chat functionality, inventory management, pharmacy oversight, and the display of medication listings. General users may check medication lists, search pharmacies, find pharmacy locations and the best routes, search for specific medications, access comprehensive medication information, and more with the mobile application. Fifty respondents, comprising five pharmacists and forty-five general users, expressed overall satisfaction with the system's functionality, emphasizing its ease of use and straightforward navigation across most features. This project not only amplifies the importance of ICT in the healthcare industry, but it also shows how technology can be successfully integrated to improve accessibility and expedite healthcare procedures for both the general public and professionals.

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“…Many public health researchers have found that visualisation of the spatial distribution of health-related events of target populations and making informed public health decisions faster are the two primary applications of GIS data/methods in health-related studies 25 28 29. The applications of GIS methodologies in older adults’ care and research are growing,30–32 however, there is limited research on GIS in assessing recruitment strategies among older adults with and without dementia 33 34…”

Section: Introductionmentioning

confidence: 99%

Using community-based geographical information system (GIS) to recruit older Asian Americans in an Alzheimer’s disease study

Lee

Yim

et al. 2023

BMJ Open

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ObjectiveThis study aims to show the usefulness of incorporating a community-based geographical information system (GIS) in recruiting research participants for the Asian Cohort for Alzheimer’s Disease (ACAD) study for using the subgroup of Korean American (KA) older adults. The ACAD study is the first large study in the USA and Canada focusing on the recruitment of Chinese, Korean and Vietnamese older adults to address the issues of under-representation of Asian Americans in clinical research.MethodsTo promote clinical research participation of racial/ethnic minority older adults with and without dementia, we used GIS by collaborating with community members to delineate boundaries for geographical clusters and enclaves of church and senior networks, and KA serving ethnic clinics. In addition, we used socioeconomic data identified as recruitment factors unique to KA older adults which was analysed for developing recruitment strategies.ResultsGIS maps show a visualisation of the heterogeneity of the sociodemographic characteristics and the resources of faith-based organisations and KA serving local clinics. We addressed these factors that disproportionately affect participation in clinical research and successfully recruited the intended participants (N=60) in the proposed period.DiscussionUsing GIS maps to locate KA provided innovative inroads to successful research outreach efforts for a pilot study that may be expanded to other underserved populations across the USA in the future. We will use this tool subsequently on a large-scale clinical genetic epidemiology study.Policy implicationThis approach responds to the call from the National Institute on Aging to develop strategies to improve the health status of older adults in diverse populations. Our study will offer a practical guidance to health researchers and policymakers in identifying understudied and hard-to-reach specific Asian American populations for clinical studies or initiatives. This would further contribute in reducing the health and research disparity gaps among older minority populations.

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The role of geographic information system and global positioning system in dementia care and research: a scoping review

Cited by 16 publications

References 137 publications

A Wandering Detection Method Based on Processing GPS Trajectories Using the Wavelet Packet Decomposition Transform for People with Cognitive Impairment

A Wandering Detection Method Based on Processing GPS Trajectories Using the Wavelet Packet Decomposition Transform for People with Cognitive Impairment

Geospatial Pharmacy Navigator: A Web and Mobile Application Integrating Geographical Information System (GIS) for Medicine Accessibility

Using community-based geographical information system (GIS) to recruit older Asian Americans in an Alzheimer’s disease study

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