The Informative Contribution of the “Virtual Medical Visit” in a New Heart Failure Telemedicine Integrated System

Romano, Maria Francesca; Vittoria, SardellaMaria; AlboniFabrizio,; L'AbbateAntonio,; MariottiRita,; BelloVitantonio, Di

doi:10.1089/tmj.2013.0225

Cited by 10 publications

(11 citation statements)

References 35 publications

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“…As a first contribution, we offer some indicators, calculated on data collected during the trial of an integrated telemedicine system ( Assistenza domiciliare allo SCOmpenso cardiaco attraverso Le Tecniche Avanzate di comunicazione digitale , or ASCOLTA, the Italian word for listen) [ 32 ] conducted in 2011 in Pisa, Italy, involving 12 patients with a diagnosis of heart failure. We collected both biometric and subjective data for a period of 2 months for 11 patients and for <1 month for 1 patient, who was the only one hospitalized for noncardiac problems and was thus not included in the study.…”

Section: Methodsmentioning

confidence: 99%

“…We have previously described and discussed the positive contribution of subjective data to detecting potential risks [ 32 ]: variables obtained during a virtual visit substantially contributed to assessment of clinical status (69% of correct classifications), similar to the traditional biometric variables (70%), as assessed by a random forest classification algorithm. The combined use of both variables led to a more correct classification of the patient’s health status (84%).…”

Section: Methodsmentioning

confidence: 99%

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Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems

Romano

Sardella²,

Alboni³

2016

JMIR Res Protoc

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BackgroundAging of the European population and interest in a healthy population in western countries have contributed to an increase in the number of health surveys, where the role of survey design, data collection, and data analysis methodology is clear and recognized by the whole scientific community. Survey methodology has had to couple with the challenges deriving from data collection through information and communications technology (ICT). Telemedicine systems have not used patients as a source of information, often limiting them to collecting only biometric data. A more effective telemonitoring system would be able to collect objective and subjective data (biometric parameters and symptoms reported by the patients themselves), and to control the quality of subjective data collected: this goal be achieved only by using and merging competencies from both survey methodology and health research.ObjectiveThe objective of our study was to propose new metrics to control the quality of data, along with the well-known indicators of survey methodology. Web questionnaires administered daily to a group of patients for an extended length of time are a Web health monitoring survey (WHMS) in a telemedicine system.MethodsWe calculated indicators based on paradata collected during a WHMS study involving 12 patients, who signed in to the website daily for 2 months.ResultsThe patients’ involvement was very high: the patients’ response rate ranged between 1.00 and 0.82, with an outlier of 0.65. Item nonresponse rate was very low, ranging between 0.0% and 7.4%. We propose adherence to the chosen time to connect to the website as a measure of involvement and cooperation by the patients: the difference from the median time ranged between 11 and 24 minutes, demonstrating very good cooperation and involvement from all patients. To measure habituation to the questionnaire, we also compared nonresponse rates to the items between the first and the second month of the study, and found no significant difference. We computed the time to complete the questionnaire both as a measure of possible burden for patient, and to detect the risk of automatic responses. Neither of these hypothesis was confirmed, and differences in time to completion seemed to depend on health conditions. Focus groups with patients confirmed their appreciation for this “new” active role in a telemonitoring system.ConclusionsThe main and innovative aspect of our proposal is the use of a Web questionnaire to virtually recreate a checkup visit, integrating subjective (patient’s information) with objective data (biometric information). Our results, although preliminary and if need of further study, appear promising in proposing more effective telemedicine systems. Survey methodology could have an effective role in this growing field of research and applications.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems

Romano

Sardella²,

Alboni³

2016

JMIR Res Protoc

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“…A few examples such applications are: bioinformatics (Fortino et al, 2014), marketing (Nachev and Hogan, 2014), oceanography (Cortese et al, 2013), software project costs (Mittas and Angelis, 2013), and telemedicine (Romano et al, 2014).…”

Section: Regressionmentioning

confidence: 99%

A tutorial on using the rminer R package for data mining tasks

Cortez¹

2015

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This tutorial explores the rminer package of the R statistical tool. Following a learn by example approach, several code recipes are presented and the obtained results analyzed. The goal is to demonstrate the package capabilities for executing classification and regression data mining tasks, including in particular three CRISP-DM stages: data preparation, modeling and evaluation. The particular case of time series forecasting is also addressed.

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“…This shows that when real benefits are perceived, it is possible for people of all ages to overcome the difficulties involving ICT technologies. 13,19 With regard to the trial development, since the first week and immediately after the initial briefing, more than 60% of patients made the connections without any help from other people, and the remaining 40% asked for and received the collaboration of a member of the family who gladly helped. In the closing meeting the members of the patients' family said that they felt they were supported in dealing with their chronic condition.…”

Section: Is the Digital Divide An Obstacle To E-health?mentioning

confidence: 99%

“…In the closing meeting the members of the patients' family said that they felt they were supported in dealing with their chronic condition. 13,20 Additional information might be acquired by asking to those who cannot access the Web from home and have a member of the family suffering from a chronic pathology whether they would have be interested in activating an Internet connection from home if a remote monitoring system was implemented.…”

Section: Is the Digital Divide An Obstacle To E-health?mentioning

confidence: 99%

Is the Digital Divide an Obstacle to e-Health? An Analysis of the Situation in Europe and in Italy

Romano

Vittoria

AlboniFabrizio

et al. 2015

Telemedicine and e-Health

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The Informative Contribution of the “Virtual Medical Visit” in a New Heart Failure Telemedicine Integrated System

Cited by 10 publications

References 35 publications

Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems

Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems

A tutorial on using the rminer R package for data mining tasks

Is the Digital Divide an Obstacle to e-Health? An Analysis of the Situation in Europe and in Italy

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