Smart Medication ™, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution

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Smart Medication ™, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution. / Mondorf, Wolfgang; Eichler, Hermann; Fischer, Ronald; Holstein, Katharina; Klamroth, Robert; Nimtz-Talaska, Antje; Wermes, Cornelia; Richter, Heinrich; Severin, Kai.

In: HAMOSTASEOLOGIE, Vol. 39, No. 4, 11.2019, p. 339-346.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Mondorf, W, Eichler, H, Fischer, R, Holstein, K, Klamroth, R, Nimtz-Talaska, A, Wermes, C, Richter, H & Severin, K 2019, 'Smart Medication ™, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution', HAMOSTASEOLOGIE, vol. 39, no. 4, pp. 339-346. https://doi.org/10.1055/s-0038-1675575

APA

Mondorf, W., Eichler, H., Fischer, R., Holstein, K., Klamroth, R., Nimtz-Talaska, A., Wermes, C., Richter, H., & Severin, K. (2019). Smart Medication ™, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution. HAMOSTASEOLOGIE, 39(4), 339-346. https://doi.org/10.1055/s-0038-1675575

Vancouver

Bibtex

@article{344938aa2df1487085830fc421820fbf,
title = "Smart Medication {\texttrademark}, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution",
abstract = "This report describes the technical features and potential advantages of the application of electronic haemophilia treatment diary smart medication{\texttrademark} and an evaluation of real-life electronic treatment data collected from haemophilia patients. Since 2012, a total of 663 patients from 30 German haemophilia treatment centres (HTCs) have used the device. Data of nine HTCs were merged for real-life data analysis. Patients were divided into four subgroups according to above versus below mean values for annual factor consumption (AFC) and annual joint bleeds (AJB), respectively. The largest subgroup comprised patients with low mean AFC and AJB less than 2.25 (group A: 42%). Second largest was the group with low mean AJB but high AFC (group B: 32%), suggesting that resources could be saved in some patients. The group with low AFC but high AJB may need increased factor dosing (group D: 13%). Patients who showed a high mean AJB despite high AFC (group C: 13%) may require special medical attention, such as pharmacokinetic-adapted treatment modification or orthopaedic measures. Smart medication{\texttrademark} enables the HTC to quickly identify patients in need of treatment changes and, thus, to plan individualized therapy modifications prior to patient visits. The growing pool of real-life data facilitates data analysis and may play an important role in the optimization of resource distribution.",
author = "Wolfgang Mondorf and Hermann Eichler and Ronald Fischer and Katharina Holstein and Robert Klamroth and Antje Nimtz-Talaska and Cornelia Wermes and Heinrich Richter and Kai Severin",
note = "Georg Thieme Verlag KG Stuttgart · New York.",
year = "2019",
month = nov,
doi = "10.1055/s-0038-1675575",
language = "English",
volume = "39",
pages = "339--346",
journal = "HAMOSTASEOLOGIE",
issn = "0720-9355",
publisher = "Schattauer",
number = "4",

}

RIS

TY - JOUR

T1 - Smart Medication ™, an Electronic Diary for Surveillance of Haemophilia Home Care and Optimization of Resource Distribution

AU - Mondorf, Wolfgang

AU - Eichler, Hermann

AU - Fischer, Ronald

AU - Holstein, Katharina

AU - Klamroth, Robert

AU - Nimtz-Talaska, Antje

AU - Wermes, Cornelia

AU - Richter, Heinrich

AU - Severin, Kai

N1 - Georg Thieme Verlag KG Stuttgart · New York.

PY - 2019/11

Y1 - 2019/11

N2 - This report describes the technical features and potential advantages of the application of electronic haemophilia treatment diary smart medication™ and an evaluation of real-life electronic treatment data collected from haemophilia patients. Since 2012, a total of 663 patients from 30 German haemophilia treatment centres (HTCs) have used the device. Data of nine HTCs were merged for real-life data analysis. Patients were divided into four subgroups according to above versus below mean values for annual factor consumption (AFC) and annual joint bleeds (AJB), respectively. The largest subgroup comprised patients with low mean AFC and AJB less than 2.25 (group A: 42%). Second largest was the group with low mean AJB but high AFC (group B: 32%), suggesting that resources could be saved in some patients. The group with low AFC but high AJB may need increased factor dosing (group D: 13%). Patients who showed a high mean AJB despite high AFC (group C: 13%) may require special medical attention, such as pharmacokinetic-adapted treatment modification or orthopaedic measures. Smart medication™ enables the HTC to quickly identify patients in need of treatment changes and, thus, to plan individualized therapy modifications prior to patient visits. The growing pool of real-life data facilitates data analysis and may play an important role in the optimization of resource distribution.

AB - This report describes the technical features and potential advantages of the application of electronic haemophilia treatment diary smart medication™ and an evaluation of real-life electronic treatment data collected from haemophilia patients. Since 2012, a total of 663 patients from 30 German haemophilia treatment centres (HTCs) have used the device. Data of nine HTCs were merged for real-life data analysis. Patients were divided into four subgroups according to above versus below mean values for annual factor consumption (AFC) and annual joint bleeds (AJB), respectively. The largest subgroup comprised patients with low mean AFC and AJB less than 2.25 (group A: 42%). Second largest was the group with low mean AJB but high AFC (group B: 32%), suggesting that resources could be saved in some patients. The group with low AFC but high AJB may need increased factor dosing (group D: 13%). Patients who showed a high mean AJB despite high AFC (group C: 13%) may require special medical attention, such as pharmacokinetic-adapted treatment modification or orthopaedic measures. Smart medication™ enables the HTC to quickly identify patients in need of treatment changes and, thus, to plan individualized therapy modifications prior to patient visits. The growing pool of real-life data facilitates data analysis and may play an important role in the optimization of resource distribution.

U2 - 10.1055/s-0038-1675575

DO - 10.1055/s-0038-1675575

M3 - SCORING: Journal article

C2 - 30620988

VL - 39

SP - 339

EP - 346

JO - HAMOSTASEOLOGIE

JF - HAMOSTASEOLOGIE

SN - 0720-9355

IS - 4

ER -