Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. / Lindahl, Camilla; Wagner, Stefan; Uldbjerg, Niels; Schlütter, Jacob M.; Bertelsen, Olav W.; Sandager, Puk.

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery, 2018. p. 318-326.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Lindahl, C, Wagner, S, Uldbjerg, N, Schlütter, JM, Bertelsen, OW & Sandager, P 2018, Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. in Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery, pp. 318-326, 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018, New York, United States, 21/05/2018. https://doi.org/10.1145/3240925.3240963

APA

Lindahl, C., Wagner, S., Uldbjerg, N., Schlütter, J. M., Bertelsen, O. W., & Sandager, P. (2018). Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 (pp. 318-326). Association for Computing Machinery. https://doi.org/10.1145/3240925.3240963

CBE

Lindahl C, Wagner S, Uldbjerg N, Schlütter JM, Bertelsen OW, Sandager P. 2018. Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery. pp. 318-326. https://doi.org/10.1145/3240925.3240963

MLA

Lindahl, Camilla et al. "Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance". Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery. 2018, 318-326. https://doi.org/10.1145/3240925.3240963

Vancouver

Lindahl C, Wagner S, Uldbjerg N, Schlütter JM, Bertelsen OW, Sandager P. Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery. 2018. p. 318-326 https://doi.org/10.1145/3240925.3240963

Author

Lindahl, Camilla ; Wagner, Stefan ; Uldbjerg, Niels ; Schlütter, Jacob M. ; Bertelsen, Olav W. ; Sandager, Puk. / Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery, 2018. pp. 318-326

Bibtex

@inproceedings{952843cf2b084505b8b1b8b4e2a21f8d,
title = "Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance",
abstract = "Background: Hypertensive disease and preeclampsia are serious medical disorders affecting pregnancy. Screening in early pregnancy may identify women at risk and enable prophylactic treatment. Accurate blood pressure (BP) measurement at the hospital outpatient clinic in the first trimester of pregnancy is an important part of this screening process. As the screening procedure is lengthy, lasting up to 30 minutes, an automated blood pressure self-measurement procedure could save sparse staff resources. However, patients tend to make errors when self-measuring, which could result in treatment-errors. Previous work has investigated equipping self-measurement stations with context-aware patient guidance, which is able to detect and mitigate such measurement errors, and even recover from them. The technical performance of these systems has previously been reported. Objectives: The aim of this study was to evaluate patient acceptance levels when performing self-measurements using a context-aware patient guidance system as part of a blood pressure self-measurement (BPSM) station. Methods: In an observational study, 100 pregnant women were invited to self-measure their BP using a BPSM system consisting of a clinically validated BP device, and a context-aware sensor system for registering rest-time, talking, and other relevant context parameters, seeking to improve participant adherence through interactive guidance. Acceptance of the automated self-measurement, including the interactive guidance, was evaluated using a questionnaire in a follow-up interview session immediately after the self-measurement process. Participants were also invited to provide open comments on their experience. Results: The majority of the participants, 93 %, felt comfortable using self-measurement equipment, while a minority of 8 % would have preferred staff assisted measurements. The majority of participants expressed mostly positive feelings associated with the user experience of self-measurement, with 83-88 % using positive utterances of the experience. Conclusion: We found patient acceptance levels of performing self-measurements using interactive and context-aware guidance, without staff participation, to be an overall positive experience. Suggestions on how to mitigate the negative experiences were discussed, and these should be investigated further.",
keywords = "Adherence, Blood pressure, Compliance, Context, Context awareness, Hypertension, Measurement adherence, Patient compliance, Pervasive computing, Pervasive health, Pervasive healthcare, preeclampsia, Self-measurement, Sensors, Telehealth, Telemedicine",
author = "Camilla Lindahl and Stefan Wagner and Niels Uldbjerg and Schl{\"u}tter, {Jacob M.} and Bertelsen, {Olav W.} and Puk Sandager",
year = "2018",
month = may,
day = "21",
doi = "10.1145/3240925.3240963",
language = "English",
pages = "318--326",
booktitle = "Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018",
publisher = "Association for Computing Machinery",
address = "United States",
note = "12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 ; Conference date: 21-05-2018 Through 24-05-2018",

}

RIS

TY - GEN

T1 - Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance

AU - Lindahl, Camilla

AU - Wagner, Stefan

AU - Uldbjerg, Niels

AU - Schlütter, Jacob M.

AU - Bertelsen, Olav W.

AU - Sandager, Puk

PY - 2018/5/21

Y1 - 2018/5/21

N2 - Background: Hypertensive disease and preeclampsia are serious medical disorders affecting pregnancy. Screening in early pregnancy may identify women at risk and enable prophylactic treatment. Accurate blood pressure (BP) measurement at the hospital outpatient clinic in the first trimester of pregnancy is an important part of this screening process. As the screening procedure is lengthy, lasting up to 30 minutes, an automated blood pressure self-measurement procedure could save sparse staff resources. However, patients tend to make errors when self-measuring, which could result in treatment-errors. Previous work has investigated equipping self-measurement stations with context-aware patient guidance, which is able to detect and mitigate such measurement errors, and even recover from them. The technical performance of these systems has previously been reported. Objectives: The aim of this study was to evaluate patient acceptance levels when performing self-measurements using a context-aware patient guidance system as part of a blood pressure self-measurement (BPSM) station. Methods: In an observational study, 100 pregnant women were invited to self-measure their BP using a BPSM system consisting of a clinically validated BP device, and a context-aware sensor system for registering rest-time, talking, and other relevant context parameters, seeking to improve participant adherence through interactive guidance. Acceptance of the automated self-measurement, including the interactive guidance, was evaluated using a questionnaire in a follow-up interview session immediately after the self-measurement process. Participants were also invited to provide open comments on their experience. Results: The majority of the participants, 93 %, felt comfortable using self-measurement equipment, while a minority of 8 % would have preferred staff assisted measurements. The majority of participants expressed mostly positive feelings associated with the user experience of self-measurement, with 83-88 % using positive utterances of the experience. Conclusion: We found patient acceptance levels of performing self-measurements using interactive and context-aware guidance, without staff participation, to be an overall positive experience. Suggestions on how to mitigate the negative experiences were discussed, and these should be investigated further.

AB - Background: Hypertensive disease and preeclampsia are serious medical disorders affecting pregnancy. Screening in early pregnancy may identify women at risk and enable prophylactic treatment. Accurate blood pressure (BP) measurement at the hospital outpatient clinic in the first trimester of pregnancy is an important part of this screening process. As the screening procedure is lengthy, lasting up to 30 minutes, an automated blood pressure self-measurement procedure could save sparse staff resources. However, patients tend to make errors when self-measuring, which could result in treatment-errors. Previous work has investigated equipping self-measurement stations with context-aware patient guidance, which is able to detect and mitigate such measurement errors, and even recover from them. The technical performance of these systems has previously been reported. Objectives: The aim of this study was to evaluate patient acceptance levels when performing self-measurements using a context-aware patient guidance system as part of a blood pressure self-measurement (BPSM) station. Methods: In an observational study, 100 pregnant women were invited to self-measure their BP using a BPSM system consisting of a clinically validated BP device, and a context-aware sensor system for registering rest-time, talking, and other relevant context parameters, seeking to improve participant adherence through interactive guidance. Acceptance of the automated self-measurement, including the interactive guidance, was evaluated using a questionnaire in a follow-up interview session immediately after the self-measurement process. Participants were also invited to provide open comments on their experience. Results: The majority of the participants, 93 %, felt comfortable using self-measurement equipment, while a minority of 8 % would have preferred staff assisted measurements. The majority of participants expressed mostly positive feelings associated with the user experience of self-measurement, with 83-88 % using positive utterances of the experience. Conclusion: We found patient acceptance levels of performing self-measurements using interactive and context-aware guidance, without staff participation, to be an overall positive experience. Suggestions on how to mitigate the negative experiences were discussed, and these should be investigated further.

KW - Adherence

KW - Blood pressure

KW - Compliance

KW - Context

KW - Context awareness

KW - Hypertension

KW - Measurement adherence

KW - Patient compliance

KW - Pervasive computing

KW - Pervasive health

KW - Pervasive healthcare

KW - preeclampsia

KW - Self-measurement

KW - Sensors

KW - Telehealth

KW - Telemedicine

UR - http://www.scopus.com/inward/record.url?scp=85055711366&partnerID=8YFLogxK

U2 - 10.1145/3240925.3240963

DO - 10.1145/3240925.3240963

M3 - Article in proceedings

AN - SCOPUS:85055711366

SP - 318

EP - 326

BT - Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018

PB - Association for Computing Machinery

T2 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018

Y2 - 21 May 2018 through 24 May 2018

ER -