Identifying factors that affect the use of health information technology in the treatment and management of hypertension.

Aysan Faezi, Hadi Lotfnezhad Afshar, Bahlol Rahimi
Author Information
  1. Aysan Faezi: Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran. faeziaysa77@yahoo.com.
  2. Hadi Lotfnezhad Afshar: Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran.
  3. Bahlol Rahimi: Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran.

Abstract

BACKGROUND: We conducted this study with the aim of identifying factors that affect the use of health information technology in the treatment and management of hypertension.
METHODS: This paper is a descriptive-analytic study conducted in 2022. To obtain relevant articles, databases including Scopus, Web of Science, IEEE, and PubMed were searched and the time period was between 2013 and 2022. Based on the review of similar articles, a five-point Likert scale checklist was developed in the second phase. The statistical population of the present study was specialist physicians (N = 40) and patients (N = 384). In order to analyze the data, SPSS Statistics 24 was used. To analyze the data obtained from the checklist, we used summary statistics (mean and standard deviation).
RESULTS: As a result of the review literature process, 50 papers were screened, that based we can distinguish motivational and inhibitory factors affecting the use of health information technology in hypertension management. Indeed, Motivational factors and inhibitory factors can be classified into five groups: organizational, economic, technical, personal, and legal/moral factors. Based on the results of the checklist, the factors that were identified as most influential on motivation and inhibitory patients and specialist physicians' to use of health information technology to manage and treat hypertension.
CONCLUSION: Utilizing technologies for hypertension, its management can be improved by identifying motivating and inhibiting factors. Our approach can improve the acceptability of these technologies, save costs, reduce long-term complications of hypertension, and improve patient quality of life.

Keywords

References

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MeSH Term

Humans
Quality of Life
Motivation
Hypertension
Medical Informatics

Word Cloud

Created with Highcharts 10.0.0factorsmanagementhypertensioninformationtechnologyusehealthcanstudychecklistinhibitoryconductedidentifyingaffecttreatment2022articlesBasedreviewspecialistpatientsanalyzedatausedtechnologiesimproveHypertensionBACKGROUND:aimMETHODS:paperdescriptive-analyticobtainrelevantdatabasesincludingScopusWebScienceIEEEPubMedsearchedtimeperiod2013similarfive-pointLikertscaledevelopedsecondphasestatisticalpopulationpresentphysiciansN = 40N = 384orderSPSSStatistics24obtainedsummarystatisticsmeanstandarddeviationRESULTS:resultliteratureprocess50papersscreenedbaseddistinguishmotivationalaffectingIndeedMotivationalclassifiedfivegroups:organizationaleconomictechnicalpersonallegal/moralresultsidentifiedinfluentialmotivationphysicians'managetreatCONCLUSION:Utilizingimprovedmotivatinginhibitingapproachacceptabilitysavecostsreducelong-termcomplicationspatientqualitylifeIdentifyingBloodpressureHealthPatients

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