Linked Life Data

12641893

Source:http://linkedlifedata.com/resource/pubmed/id/12641893

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-3-18
pubmed:abstractText
We developed a questionnaire for the evaluation of patient satisfaction with telemedicine. Items related to patient satisfaction with telemedicine were identified through a review of the literature. The internal consistency and the intraclass correlation coefficient were used to evaluate the reliability of the proposed instrument. Content validity was examined using a panel of experts. The predictive validity of the proposed instrument was assessed by correlating scores on the Telemedicine Satisfaction Questionnaire (TSQ) with haemoglobin A(1c) levels and adherence to self-management activities among 38 patients with type 2 diabetes, after they had completed a four-session interactive diabetes tele-education programme. A principal-components analysis with varimax rotation was performed to reduce the number of questionnaire items from 15 to 14, and the scree test was used to select significant factors. There were three components with eigenvalues over 1.0, which together explained 68% of the total variance. These were: quality of care provided, similarity to face-to-face encounter and perception of the interaction. The TSQ demonstrated preliminary reliability and validity but more extensive testing will be required before it can be considered generally applicable.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1357-633X
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
46-50
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Development of the Telemedicine Satisfaction Questionnaire to evaluate patient satisfaction with telemedicine: a preliminary study.
pubmed:affiliation
School of Continuing Education, Hong Kong Baptist University, Waterloo Road, Kowloon Tong, Hong Kong, China. chanyip@hkstar.com
pubmed:publicationType
Journal Article