TY - JOUR
T1 - Interactive Visualization Applications in Population Health and Health Services Research
T2 - Systematic Scoping Review
AU - Chishtie, Jawad
AU - Bielska, Iwona Anna
AU - Barrera, Aldo
AU - Marchand, Jean Sebastien
AU - Imran, Muhammad
AU - Ali Tirmizi, Syed Farhan
AU - Turcotte, Luke A.
AU - Munce, Sarah
AU - Shepherd, John
AU - Senthinathan, Arrani
AU - Cepoiu-Martin, Monica
AU - Irvine, Michael
AU - Babineau, Jessica
AU - Abudiab, Sally
AU - Bjelica, Marko
AU - Collins, Christopher
AU - Craven, B. Catharine
AU - Guilcher, Sara
AU - Jeji, Tara
AU - Naraei, Parisa
AU - Jaglal, Susan
N1 - Publisher Copyright:
©Jawad Chishtie, Iwona Anna Bielska, Aldo Barrera, Jean-Sebastien Marchand, Muhammad Imran, Syed Farhan Ali Tirmizi, Luke A Turcotte, Sarah Munce, John Shepherd, Arrani Senthinathan, Monica Cepoiu-Martin, Michael Irvine, Jessica Babineau, Sally Abudiab, Marko Bjelica, Christopher Collins, B Catharine Craven, Sara Guilcher, Tara Jeji, Parisa Naraei, Susan Jaglal.
PY - 2022/2
Y1 - 2022/2
N2 - Background: Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. Objective: The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. Methods: We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. Results: In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. Conclusions: Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support.
AB - Background: Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. Objective: The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. Methods: We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. Results: In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. Conclusions: Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support.
KW - Data visualization
KW - Health services research
KW - Interactive visualization
KW - Population health
KW - Public health informatics
KW - Secondary health care data
UR - http://www.scopus.com/inward/record.url?scp=85124958928&partnerID=8YFLogxK
U2 - 10.2196/27534
DO - 10.2196/27534
M3 - Review article
C2 - 35179499
AN - SCOPUS:85124958928
SN - 1439-4456
VL - 24
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
IS - 2
M1 - e27534
ER -