000163720 001__ 163720
000163720 005__ 20251030150826.0
000163720 0247_ $$2doi$$a10.2196/67142
000163720 0248_ $$2sideral$$a145795
000163720 037__ $$aART-2025-145795
000163720 041__ $$aeng
000163720 100__ $$aTortù, Costanza
000163720 245__ $$aUnderstanding Health Care Workers’ Attitudes and Preferences Toward Digital Patient Monitoring Platforms: Cross-Country Survey Study
000163720 260__ $$c2025
000163720 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163720 5203_ $$aBackground: The integration of digital health tools into the routines of health care workers (HCWs) holds potential to enhance health care delivery. In particular, digital tools for patient data monitoring allow HCWs to quickly access patient health information and detect early warning signs of potential issues. However, while interest in these tools, such as telemedicine and mobile health, has rapidly grown in recent years, limited research has explored HCWs’ attitudes toward digital innovations or their feature preferences.
Objective: This study aims to (1) assess HCWs’ attitudes toward digital health tools for patient data monitoring, (2) identify socioeconomic factors influencing these attitudes, (3) determine HCWs’ preferences for features of a novel digital health platform for patient data monitoring, and (4) examine whether HCWs’ baseline attitudes impact their feature preferences.
Methods: This study uses an integrated approach combining item response theory (IRT) and discrete choice experiment to evaluate the attitudes and preferences of HCWs. Data come from a web conjoint survey distributed to an international cohort of HCWs across the following 4 European countries: Spain, Albania, Bulgaria, and Greece.
Results: Survey respondents comprise 260 HCWs from the 4 countries. The findings indicate that HCWs generally hold a positive attitude toward technological devices (all the IRT coefficients are statistically significant with P<.05). Socioeconomic characteristics, including factors such as gender (P=0.05), professional role (P=0.01), and educational background (P=0.01), significantly influence these attitudes. Results show that highly educated female HCWs are those who are mostly inclined to use technologies. In addition, the specific features of a digital health platform for patient data monitoring highly impact HCWs’ willingness to incorporate such a tool into their daily practice (all coefficients related to the attributes’ effects in the models for the discrete choice experiment results are significant (all P=0.01 except the data looking attribute which has P=0.03) . The findings suggest that an ideal digital health platform for patient data monitoring should offer intuitive graphs, comparative statistics against standards, and include patients’ family clinical history. In addition, health workers should receive instructor-led group training to effectively use the platform.
Conclusions: This study shows that health workers generally support the use of digital health tools, which have the potential to improve health care efficiency and patient outcomes through enhanced monitoring and timely interventions. To facilitate adoption, policymakers should strengthen infrastructure, enact supportive legislation, and tailor interventions for groups less inclined to use these tools. Aligning digital health platform features with HCW preferences is crucial, as it directly impacts HCWs’ willingness to integrate these tools into daily routines, ultimately benefiting patients. Future research should examine additional factors influencing HCW adoption and address organizational and infrastructural barriers to optimize implementation of digital health platform and improve patient care.
000163720 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163720 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163720 700__ $$aSeghieri, Chiara
000163720 700__ $$aDoracaj, Ditila
000163720 700__ $$aUsheva, Natalya
000163720 700__ $$0(orcid)0000-0002-2956-4219$$aGiménez-Legarre, Natalia$$uUniversidad de Zaragoza
000163720 700__ $$aManios, Yannis
000163720 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000163720 773__ $$g9 (2025), [14 pp.]$$pJMIR form. res.$$tJMIR Formative Research$$x2561-326X
000163720 8564_ $$s1338838$$uhttps://zaguan.unizar.es/record/163720/files/texto_completo.pdf$$yVersión publicada
000163720 8564_ $$s2638432$$uhttps://zaguan.unizar.es/record/163720/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163720 909CO $$ooai:zaguan.unizar.es:163720$$particulos$$pdriver
000163720 951__ $$a2025-10-30-14:39:40
000163720 980__ $$aARTICLE