Study of the uses of Information and Communication Technologies by Pain Treatment Unit Physicians
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Adequate use of Information and Communication Technologies (ICTs) in health has been shown to save the patient and caregiver time, improve access to the health system, improve diagnosis and control of disease or treatment. All this results in cost savings, and more importantly, they help improve the quality of service and the lives of patients. The purpose of this study is to analyse the differences in the uses of this ICTs between those physicians that belong to Pain Treatment Units (PU) and other physicians that work in pain not linked to these PUs. An online survey, generated by Netquest online survey tool, was sent to both groups of professionals and the data collected was statistical analysed through a logistic regression methodology which is the Logit binomial model. Our results show that those physicians that belong to PUs use ICTs more frequently and consider it more relevant to their clinical practice.
KeywordsInformation and communication technologies Pain Continuous medical education Pain treatment unit
The study was funded by an aid for research by the Cátedra Extraordinaria del Dolor “Fundación Grünenthal” of the University of Salamanca.
Compliance with Ethical Standards
Conflict of Interest
Jorge Muriel Fernandez: declares no conflict of interest.
María José Sánchez Ledesma: declares no conflict of interest.
J Manuel López Millan: declares no conflict of interest.
María Begoña García Cenador: declares no conflict of interest.
Informed consent was obtained from all individual participants included in the study.
- 1.Information and Communication Technology (ICT) Standards and Guidelines, Final rule. Fed. Regist. 82(11):5790–5841, 2017.Google Scholar
- 8.Sim JA, Chang YJ, Shin A, Noh DY, Han W, Yang HK, Kim YW, Kim YT, Jeong SY, Yoon JH et al (2017) Perceived needs for the information communication technology (ICT)-based personalized health management program, and association among information provision, health-related quality of life (HRQOL), and decisional conflict in cancer patients. Psychooncology.Google Scholar
- 9.Riondino, S., Ferroni, P., Spila, A., Alessandroni, J., D'Alessandro, R., Formica, V., Della-Morte, D., Palmirotta, R., Nanni, U., Roselli, M., et al., Ensuring sample quality for biomarker discovery studies - use of ICT tools to trace Biosample life-cycle. Cancer Genomics Proteomics. 12(6):291–299, 2015.PubMedGoogle Scholar
- 11.Gustafson Sr., D.H., McTavish, F., Gustafson Jr., D.H., Mahoney, J.E., Johnson, R.A., Lee, J.D., Quanbeck, A., Atwood, A.K., Isham, A., Veeramani, R., et al., The effect of an information and communication technology (ICT) on older adults' quality of life: Study protocol for a randomized control trial. Trials. 16:191, 2015.CrossRefPubMedPubMedCentralGoogle Scholar
- 12.Nanni, U., Spila, A., Riondino, S., Valente, M.G., Somma, P., Iacoboni, M., Alessandroni, J., Papa, V., Della-Morte, D., Palmirotta, R., et al., RFID as a new ICT tool to monitor specimen life cycle and quality control in a biobank. Int. J. Biol. Markers. 26(2):129–135, 2011.CrossRefPubMedGoogle Scholar
- 14.Westwood, M., Al, M., Burgers, L., Redekop, K., Lhachimi, S., Armstrong, N., Raatz, H., Misso, K., Severens, J., and Kleijnen, J., A systematic review and economic evaluation of new-generation computed tomography scanners for imaging in coronary artery disease and congenital heart disease: Somatom definition flash, Aquilion ONE, brilliance iCT and discovery CT750 HD. Health Technol. Assess. 17(9):1–243, 2013.CrossRefGoogle Scholar
- 21.Segagni D, Tibollo V, Dagliati A, Zambelli A, Priori SG, Bellazzi R (2012) An ICT infrastructure to integrate clinical and molecular data in oncology research. BMC bioinformatics, 13 Suppl 4:S5.Google Scholar
- 22.Mars, B., Heron, J., Biddle, L., Donovan, J.L., Holley, R., Piper, M., Potokar, J., Wyllie, C., and Gunnell, D., Exposure to, and searching for, information about suicide and self-harm on the internet: Prevalence and predictors in a population based cohort of young adults. J. Affect. Disord. 185:239–245, 2015.CrossRefPubMedPubMedCentralGoogle Scholar
- 24.Platt JE, Jacobson PD, Kardia SL (2017) Public Trust in Health Information Sharing: A measure of system trust. Health Serv Res.Google Scholar
- 30.Craemer, E.M., Bassa, B., Jacobi, C. et al. (2017) Telewissenschaft – Telescience. Nervenarzt.Google Scholar
- 31.Meyding-Lamadé U, Craemer EM, Lamadé EK, Bassa B, Enk K, Ilsen H, Jacobi C, Jost V, Lorenz MW, Mohs C et al (2017) [Mission (im)possible : Setting up a neurological center 12,000 km away with telemedicine]. Nervenarzt.Google Scholar
- 36.Wechsler, L.R., Demaerschalk, B.M., Schwamm, L.H., Adeoye, O.M., Audebert, H.J., Fanale, C.V., Hess, D.C., Majersik, J.J., Nystrom, K.V., Reeves, M.J., et al., Telemedicine quality and outcomes in Stroke: A scientific statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 48(1):e3–e25, 2017.CrossRefPubMedGoogle Scholar
- 40.Kennedy, C.A., Warmington, K., Flewelling, C., Shupak, R., Papachristos, A., Jones, C., Linton, D., Beaton, D.E., Lineker, S., and Hogg-Johnson, S., A prospective comparison of telemedicine versus in-person delivery of an interprofessional education program for adults with inflammatory arthritis. J. Telemed. Telecare. 23(2):197–206, 2017.CrossRefPubMedGoogle Scholar
- 42.Liu, Z., Zhang, L., Shi, S., and Xia, W., Objectively assessed exercise behavior in Chinese patients with early-stage cancer: A predictor of perceived benefits, communication with doctors, medical coping modes, depression and quality of life. PLoS One. 12(1):e0169375, 2017.CrossRefPubMedPubMedCentralGoogle Scholar
- 43.Janz, N.K., Li, Y., Zikmund-Fisher, B.J., Jagsi, R., Kurian, A.W., An, L.C., McLeod, M.C., Lee, K.L., Katz, S.J., and Hawley, S.T., The impact of doctor-patient communication on patients' perceptions of their risk of breast cancer recurrence. Breast Cancer Res. Treat. 161(3):525–535, 2017.CrossRefPubMedGoogle Scholar
- 45.Farias, A.J., Ornelas, I.J., Hohl, S.D., Zeliadt, S.B., Hansen, R.N., Li, C.I., and Thompson, B., Exploring the role of physician communication about adjuvant endocrine therapy among breast cancer patients on active treatment: A qualitative analysis. Support Care Cancer. 25(1):75–83, 2017.CrossRefPubMedGoogle Scholar
- 47.Bodí M, Blanch L, Maspons R (2016) Clinical information systems: An opportunity to measure value, investigate and innovate from the real world. Med Intensiva.Google Scholar
- 50.Lyon, A.R., Lewis, C.C., Melvin, A., Boyd, M., Nicodimos, S., Liu, F.F., and Jungbluth, N., Health information technologies-academic and commercial evaluation (HIT-ACE) methodology: Description and application to clinical feedback systems. Implement. Sci. 11(1):128, 2016.CrossRefPubMedPubMedCentralGoogle Scholar
- 51.Heeks R. (2006) Health information systems: Failure, success and improvisation. Int J Med Inform.Google Scholar
- 52.Simpao AF, Tan JM, Lingappan AM, Galvez JA, Morgan SE, Krall MA (2016) A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems. J Clin Monit Comput.Google Scholar
- 54.James, M.T., Hobson, C.E., Darmon, M., Mohan, S., Hudson, D., Goldstein, S.L., Ronco, C., Kellum, J.A., and Bagshaw, S.M., Applications for detection of acute kidney injury using electronic medical records and clinical information systems: Workgroup statements from the 15(th) ADQI consensus conference. Can J. Kidney Health Dis. 3:9, 2016.CrossRefPubMedPubMedCentralGoogle Scholar
- 55.Haluza, D., and Jungwirth, D., ICT and the future of healthcare: Aspects of pervasive health monitoring. Inform. Health Soc. Care:1–11, 2016.Google Scholar