Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data

Abstract Background Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of Covid-19. With limited resources, innovative methods to track disease, population needs, and current health and social service pro...

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Autores principales: Joshua Wells, Robert Grant, John Chang, Reem Kayyali
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Lenguaje:EN
Publicado: BMC 2021
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spelling oai:doaj.org-article:872f73beb4874a3e8a0e2aa6dd206c552021-11-28T12:12:58ZEvaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data10.1186/s12889-021-12072-11471-2458https://doaj.org/article/872f73beb4874a3e8a0e2aa6dd206c552021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12072-1https://doaj.org/toc/1471-2458Abstract Background Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of Covid-19. With limited resources, innovative methods to track disease, population needs, and current health and social service provision are essential. To best make use of currently available data, there is an increasing reliance on technology. One approach of interest is the implementation and integration of mapping software. This research aimed to determine the usability and acceptability of a methodology for mapping public health data using GIS technology. Methods Prototype multi-layered interactive maps were created demonstrating relationships between socio-economic and health data (vaccination and admission rates). A semi-structured interview schedule was developed, including a validated tool known as the System Usability Scale (SUS), which assessed the usability of the mapping model with five stakeholder (SH) groups. Fifteen interviews were conducted across the 5 SH and analysed using content analysis. A Kruskal-Wallis H test was performed to determine any statistically significant difference for the SUS scores across SH. The acceptability of the model was not affected by the individual use of smart technology among SHs. Results The mean score from the SUS for the prototype mapping models was 83.17 out of 100, indicating good usability. There was no statistically significant difference in the usability of the maps among SH (p = 0.094). Three major themes emerged with respective sub-themes from the interviews including: (1) Barriers to current use of data (2) Design strengths and improvements (3) Multiple benefits and usability of the mapping model. Conclusion Irrespective of variations in demographics or use of smart technology amongst interviewees, there was no significant difference in the usability of the model across the stakeholder groups. The average SUS score for a new system is 68. A score of 83.17 was calculated, indicative of a “good” system, as falling within the top 10% of scores. This study has provided a potential digital model for mapping public health data. Furthermore, it demonstrated the need for such a digital solution, as well as its usability and future utilisation avenues among SH.Joshua WellsRobert GrantJohn ChangReem KayyaliBMCarticleMappingPublic health dataPreventionUsabilityTechnologySUSPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-20 (2021)
institution DOAJ
collection DOAJ
language EN
topic Mapping
Public health data
Prevention
Usability
Technology
SUS
Public aspects of medicine
RA1-1270
spellingShingle Mapping
Public health data
Prevention
Usability
Technology
SUS
Public aspects of medicine
RA1-1270
Joshua Wells
Robert Grant
John Chang
Reem Kayyali
Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
description Abstract Background Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of Covid-19. With limited resources, innovative methods to track disease, population needs, and current health and social service provision are essential. To best make use of currently available data, there is an increasing reliance on technology. One approach of interest is the implementation and integration of mapping software. This research aimed to determine the usability and acceptability of a methodology for mapping public health data using GIS technology. Methods Prototype multi-layered interactive maps were created demonstrating relationships between socio-economic and health data (vaccination and admission rates). A semi-structured interview schedule was developed, including a validated tool known as the System Usability Scale (SUS), which assessed the usability of the mapping model with five stakeholder (SH) groups. Fifteen interviews were conducted across the 5 SH and analysed using content analysis. A Kruskal-Wallis H test was performed to determine any statistically significant difference for the SUS scores across SH. The acceptability of the model was not affected by the individual use of smart technology among SHs. Results The mean score from the SUS for the prototype mapping models was 83.17 out of 100, indicating good usability. There was no statistically significant difference in the usability of the maps among SH (p = 0.094). Three major themes emerged with respective sub-themes from the interviews including: (1) Barriers to current use of data (2) Design strengths and improvements (3) Multiple benefits and usability of the mapping model. Conclusion Irrespective of variations in demographics or use of smart technology amongst interviewees, there was no significant difference in the usability of the model across the stakeholder groups. The average SUS score for a new system is 68. A score of 83.17 was calculated, indicative of a “good” system, as falling within the top 10% of scores. This study has provided a potential digital model for mapping public health data. Furthermore, it demonstrated the need for such a digital solution, as well as its usability and future utilisation avenues among SH.
format article
author Joshua Wells
Robert Grant
John Chang
Reem Kayyali
author_facet Joshua Wells
Robert Grant
John Chang
Reem Kayyali
author_sort Joshua Wells
title Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
title_short Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
title_full Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
title_fullStr Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
title_full_unstemmed Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data
title_sort evaluating the usability and acceptability of a geographical information system (gis) prototype to visualise socio-economic and public health data
publisher BMC
publishDate 2021
url https://doaj.org/article/872f73beb4874a3e8a0e2aa6dd206c55
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