TY - JOUR
T1 - Smartphone as a Disease Screening Tool
T2 - A Systematic Review
AU - Moses, Jeban Chandir
AU - Adibi, Sasan
AU - Wickramasinghe, Nilmini
AU - Nguyen, Lemai
AU - Angelova, Maia
AU - Islam, Sheikh Mohammed Shariful
PY - 2022/5/16
Y1 - 2022/5/16
N2 - Disease screening identifies a disease in an individual/community early to effectively pre-vent or treat the condition. COVID‐19 has restricted hospital visits for screening and other healthcare services resulting in the disruption of screening for cancer, diabetes, and cardiovascular diseases. Smartphone technologies, coupled with built‐in sensors and wireless technologies, enable the smartphone to function as a disease‐screening and monitoring device with negligible additional costs and potentially higher quality results. Thus, we sought to evaluate the use of smartphone applications for disease screening and the acceptability of this technology in the medical and healthcare sectors. We followed a systematic review process using four databases, including Med-line Complete, Web of Science, Embase, and Proquest. We included articles published in English examining smartphone application utilisation in disease screening. Further, we presented and discussed the primary outcomes of the research articles and their statistically significant value. The initial search yielded 1046 studies for the initial title and abstract screening. Of the 105 articles eligible for full‐text screening, we selected nine studies and discussed them in detail under four main categories: an overview of the literature reviewed, participant characteristics, disease screening, and technology acceptance. According to our objective, we further evaluated the disease‐screening approaches and classified them as clinically administered screening (33%, n = 3), health‐worker‐ad-ministered screening (33%, n = 3), and home‐based screening (33%, n = 3). Finally, we analysed the technology acceptance among the users and healthcare practitioners. We observed a significant statistical relationship between smartphone applications and standard clinical screening. We also reviewed user acceptance of these smartphone applications. Hence, we set out critical considerations to provide equitable healthcare solutions without barriers when designing, developing, and deploying smartphone solutions. The findings may increase research opportunities for the evaluation of smartphone solutions as valid and reliable screening solutions.
AB - Disease screening identifies a disease in an individual/community early to effectively pre-vent or treat the condition. COVID‐19 has restricted hospital visits for screening and other healthcare services resulting in the disruption of screening for cancer, diabetes, and cardiovascular diseases. Smartphone technologies, coupled with built‐in sensors and wireless technologies, enable the smartphone to function as a disease‐screening and monitoring device with negligible additional costs and potentially higher quality results. Thus, we sought to evaluate the use of smartphone applications for disease screening and the acceptability of this technology in the medical and healthcare sectors. We followed a systematic review process using four databases, including Med-line Complete, Web of Science, Embase, and Proquest. We included articles published in English examining smartphone application utilisation in disease screening. Further, we presented and discussed the primary outcomes of the research articles and their statistically significant value. The initial search yielded 1046 studies for the initial title and abstract screening. Of the 105 articles eligible for full‐text screening, we selected nine studies and discussed them in detail under four main categories: an overview of the literature reviewed, participant characteristics, disease screening, and technology acceptance. According to our objective, we further evaluated the disease‐screening approaches and classified them as clinically administered screening (33%, n = 3), health‐worker‐ad-ministered screening (33%, n = 3), and home‐based screening (33%, n = 3). Finally, we analysed the technology acceptance among the users and healthcare practitioners. We observed a significant statistical relationship between smartphone applications and standard clinical screening. We also reviewed user acceptance of these smartphone applications. Hence, we set out critical considerations to provide equitable healthcare solutions without barriers when designing, developing, and deploying smartphone solutions. The findings may increase research opportunities for the evaluation of smartphone solutions as valid and reliable screening solutions.
KW - chronic disease
KW - disease screening
KW - mobile solutions
KW - smartphone applications
KW - technology
KW - technology acceptance
UR - http://www.scopus.com/inward/record.url?scp=85130044602&partnerID=8YFLogxK
UR - https://www.mdpi.com/1424-8220/22/10/3787
U2 - 10.3390/s22103787
DO - 10.3390/s22103787
M3 - Review article
C2 - 35632195
AN - SCOPUS:85130044602
SN - 1424-8220
VL - 22
JO - Sensors
JF - Sensors
IS - 10
M1 - 3787
ER -