Wagner, Stefan4; Kamper, Christina H.5; Toftegaard, Thomas Skjødeberg6; Bertelsen, Olav W.7
1 Department of Engineering, Science and Technology, Aarhus University2 Department of Computer Science, Science and Technology, Aarhus University3 School of Communication and Culture - Participatory Information Technology, School of Communication and Culture, Arts, Aarhus University4 Department of Computer Science, Faculty of Science, Aarhus University, Aarhus University5 Department of Obstetrics, Aarhus University Hospital6 Department of Engineering, Science and Technology, Aarhus University7 Department of Computer Science, Science and Technology, Aarhus University
Background: Pregnant diabetic patients are often required to self- measure their blood pressure in the waiting room before consulta- tion. Currently used blood pressure devices do not guarantee valid measurements when used unsupervised. This could lead to misdi- agnosis and treatment error. The aim of this study was to investigate current use of blood pressure self-measurement in the waiting room in order to identify challenges that could influence the resulting data quality. Also, we wanted to investigate the potential for addressing these challenges with e-health and telemedicine technology. Subjects and Methods: We observed 81 pregnant diabetics’ ability to correctly self-measure in the waiting room during a 4-week observational descriptive study. Specifically, we investigated the level of patient adherence to six recommendations with which patients are in- structed to comply in order to obtain a reliable blood pressure reading. Results: We found that the patients did not adhere to given instructions when performing blood pressure self-measurement in the waiting room. None of the 81 patients adhered to all six inves- tigated recommendations, while around a quarter adhered to five out of six of the recommendations. The majority followed four or fewer of the recommendations. Conclusions: Results indicate that unsuper- vised self-measurement of blood pressure is not a reliable method. Thus, there is a need for increased staff presence and patient training or, alternatively, for introducing improved technology support. This could include context-aware patient adherence aids and clinical decision support systems for automatically validating self-measured data based on e-health and telemedicine technology.
Telemedicine and E-health, 2013, Vol 19, Issue 11, p. 872-874
e-health; ardiology/cardiovascular disease; telehealth; telemedicine; home health monitoring