This paper is in the following e-collection/theme issue:

mHealth for Treatment Adherence (386) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (461)

Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12574, first published .
Relationship Between Adherence to Remote Monitoring and Patient Characteristics: Observational Study in Women With Pregnancy-Induced Hypertension

Relationship Between Adherence to Remote Monitoring and Patient Characteristics: Observational Study in Women With Pregnancy-Induced Hypertension

Relationship Between Adherence to Remote Monitoring and Patient Characteristics: Observational Study in Women With Pregnancy-Induced Hypertension

Authors of this article:

Thijs Vandenberk1, 2, 3, 4, 5 Author Orcid Image ;   Dorien Lanssens1, 2, 3, 4, 5 Author Orcid Image ;   Valerie Storms1, 2, 3, 4 Author Orcid Image ;   Inge M Thijs1, 2, 3, 4, 5 Author Orcid Image ;   Lotte Bamelis6 Author Orcid Image ;   Lars Grieten1, 2, 3, 4, 5 Author Orcid Image ;   Wilfried Gyselaers1, 2, 3, 4, 5 Author Orcid Image ;   Eileen Tang7 Author Orcid Image ;   Patrick Luyten7, 8 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

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  2. Dang Y, Guo S, Guo X, Wang M, Xie K. Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support. JMIR mHealth and uHealth 2021;9(2):e19594 View
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  5. Zielinska A, Mullins E, Lees C. The feasibility of multimodality remote monitoring of maternal physiology during pregnancy. Medicine 2022;101(26):e29566 View
  6. Omisade O, Good A. Healthcare Professionals' Perceptions of Factors That Could Inform Adherence Interventions for Postnatal Depression Treatments. International Journal of Applied Research on Public Health Management 2022;8(1):1 View
  7. Lanssens D, Vandenberk T, Storms V, Thijs I, Grieten L, Bamelis L, Gyselaers W, Tang E, Luyten P. Changes in Intrapersonal Factors of Participants in the Pregnancy Remote Monitoring Study Who Are at Risk for Pregnancy-Induced Hypertension: Descriptive Quantitative Study. Journal of Medical Internet Research 2023;25:e42686 View
  8. Novoa B, Patel E, Costello L, Watts B, Suresh S, Bisson C, Arenas G, Duncan C, Rana S. PO7_1. Patient perceptions regarding remote patient monitoring for postpartum hypertension. Pregnancy Hypertension 2023;33:e41 View
  9. Korobeynikova A, Demkina A, Rogoza A, Vladzimirskiy A. SWOT - анализ: дистанционный мониторинг артериального давления. Digital Diagnostics 2024 View