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DC Field | Value | Language |
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dc.contributor.author | Wickramasinghe, Nilmini | - |
dc.contributor.other | Baskaran, Vikraman | - |
dc.contributor.other | Guergachi, Aziz | - |
dc.contributor.other | Shah, Bharat | - |
dc.contributor.other | Bali, Rajeev | - |
dc.contributor.other | Naguib, Raouf | - |
dc.contributor.other | Sidani, Souraya | - |
dc.date.accessioned | 2015-11-11T05:28:01Z | - |
dc.date.available | 2015-11-11T05:28:01Z | - |
dc.date.issued | 2012-05 | - |
dc.identifier.citation | Int. J. of Biomedical Engineering and Technology, 2012 Vol.8, No.1, pp.1 - 17. | en_US |
dc.identifier.issn | 1752-6418 | en_US |
dc.identifier.issn | 1752-6426 | en_US |
dc.identifier.uri | http://hdl.handle.net/11434/459 | - |
dc.description.abstract | Population-based screening has been accepted as the best tool for preventing breast cancer. Many women cohorts are left out from screening sessions on a regular basis. Increasing screening attendance through well-coordinated interventions has been accepted as a norm for such screening programme. The need for more resources for making such interventions within the primary care domain has held back many such initiatives. A case study on increasing screening attendance through prediction techniques to identify women likely to miss screening and initiate opportunistic intervention, is discussed in this paper. A new intervention research framework and a questionnaire-based survey are also presented. | en_US |
dc.publisher | Inderscience Enterprises Ltd | en_US |
dc.subject | Breast Screening | en_US |
dc.subject | Opportunistic Intervention | en_US |
dc.subject | Attendance | en_US |
dc.subject | Prediction | en_US |
dc.subject | Primary Care | en_US |
dc.subject | Breast Cancer Prevention | en_US |
dc.subject | Health Care Technology | en_US |
dc.subject | Health Informatics Management | en_US |
dc.subject | Breast Neoplasms | - |
dc.subject | Chair of Healthcare Information, Epworth HealthCare, Melbourne, Victoria, Australia | - |
dc.title | Information technology-initiated interventions: a case study for the UK National Health Service Breast Screening Programme to improve screening attendance using a new intervention research framework. | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.1504/IJBET.2012.045354 | en_US |
dc.identifier.journaltitle | International Journal of Biomedical Engineering and Technology | en_US |
dc.description.affiliates | Ted Rogers School of Information Technology Management, Ryerson University, Toronto, Canada. | en_US |
dc.description.affiliates | School of Nursing, Ryerson University, Toronto, Canada. | - |
dc.description.affiliates | Biomedical Computing and Engineering Technologies (BIOCORE), Applied Research Group, Health Design and Technology Institute (HDTI), Coventry University, UK. | - |
dc.type.studyortrial | Case Control Studies | en_US |
dc.type.contenttype | Text | en_US |
Appears in Collections: | Cancer Services Health Informatics |
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