electronic Personal Health Records and medication adherence:


and features
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Electronic PHRs are available online systems that utilise health informatics standards to enable patients to organize and manage their clinical and administrative healthcare data according to their own concern

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Medication adherence

Medication adherence has been defined as “the extent to which patients behavior agrees with the instructions they are given for prescribed treatments”. Medication adherence measurement considered by many authors as problematic and there is no gold standard for measuring medication adherence

Go to Chronic illness

Chronic illness

The World Health Organization states that chronic diseases, are not passed from person to person. They are of long duration and generally slow progression. The four main types … are cardiovascular diseases, cancers, chronic respiratory diseases and diabetes

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How best should electronic personal health records be designed and utilised to help patients get the full benefit of their prescribed medication?

Evaluation of electronic personal health records design and usage.

The purpose of this mixed methods study is to determine how best electronic personal health records (PHRs) should be designed and used to help patients get the full benefit of their prescribed medication. A convergent parallel mixed methods design will be used, and it is a type of design in which qualitative and quantitative data are collected in parallel, analysed separately and then merged. In this study he qualitative data, such as interview data, will be the dominant and will be used to explore the context-mechanism-outcome relation of patient and disease related barriers of medication adherence and to determine which the most important design features of a PHR are, to improve medication adherence. The quantitative data will be used to enhance the meaning of the qualitative and to assist with the exploration of the phenomenon. The reason for collecting both quantitative and qualitative data is to corroborate results, the two forms of data to bring greater insight into the problem than would be obtained by either type of data separately.

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The researchers

Elisavet Andrikopoulou

Chief Investigator
PhD Candidate
MRes Technology
BSc Computer Science

Dr Philip Scott

First Academic Supervisor
Senior Lecturer, and member of the Centre for Healthcare Modelling and Informatics at the School of Computing, University of Portsmouth.

Dr Helena Herrera

Second Academic Supervisor
Unit co-ordinator for the “Research Methods and Ethics” unit
MSc in Pharmacy Practice
a PhD and PgC in Research Methods

Dr Alice Good

Third Academic Supervisor
Senior Lecturer in Human Computer Interaction at the School of Computing, University of Portsmouth.

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