Continuous 7-month Internet of Things -based monitoring of health parameters of pregnant and Postpartum Women: prospective observational feasibility study
| dc.contributor.author | Saarikko J | |
| dc.contributor.author | Niela-Vilen H | |
| dc.contributor.author | Ekholm E | |
| dc.contributor.author | Hamari L | |
| dc.contributor.author | Azimi I | |
| dc.contributor.author | Rahmani AM | |
| dc.contributor.author | Liljeberg P | |
| dc.contributor.author | Löyttyniemi E | |
| dc.contributor.author | Axelin A | |
| dc.contributor.organization | fi=biostatistiikka|en=Biostatistics| | |
| dc.contributor.organization | fi=hoitotieteen laitos|en=Department of Nursing Science| | |
| dc.contributor.organization | fi=synnytys- ja naistentautioppi|en=Obstetrics and Gynaecology| | |
| dc.contributor.organization | fi=terveysteknologia|en=Health Technology| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.27201741504 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.28696315432 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.74725736230 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.89365200099 | |
| dc.contributor.organization-code | 2610303 | |
| dc.converis.publication-id | 50945878 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/50945878 | |
| dc.date.accessioned | 2022-10-28T13:56:18Z | |
| dc.date.available | 2022-10-28T13:56:18Z | |
| dc.description.abstract | <p><strong>Background: </strong>Monitoring during pregnancy is vital to ensure the mother's and infant's health. Remote continuous monitoring provides health care professionals with significant opportunities to observe health-related parameters in their patients and to detect any pathological signs at an early stage of pregnancy, and may thus partially replace traditional appointments.</p><p><strong>Objective: </strong>This study aimed to evaluate the feasibility of continuously monitoring the health parameters (physical activity, sleep, and heart rate) of nulliparous women throughout pregnancy and until 1 month postpartum, with a smart wristband and an Internet of Things (IoT)-based monitoring system.</p><p><strong>Methods: </strong>This prospective observational feasibility study used a convenience sample of 20 nulliparous women from the Hospital District of Southwest Finland. Continuous monitoring of physical activity/step counts, sleep, and heart rate was performed with a smart wristband for 24 hours a day, 7 days a week over 7 months (6 months during pregnancy and 1 month postpartum). The smart wristband was connected to a cloud server. The total number of possible monitoring days during pregnancy weeks 13 to 42 was 203 days and 28 days in the postpartum period.</p><p><strong>Results: </strong>Valid physical activity data were available for a median of 144 (range 13-188) days (75% of possible monitoring days), and valid sleep data were available for a median of 137 (range 0-184) days (72% of possible monitoring days) per participant during pregnancy. During the postpartum period, a median of 15 (range 0-25) days (54% of possible monitoring days) of valid physical activity data and 16 (range 0-27) days (57% of possible monitoring days) of valid sleep data were available. Physical activity decreased from the second trimester to the third trimester by a mean of 1793 (95% CI 1039-2548) steps per day (P<.001). The decrease continued by a mean of 1339 (95% CI 474-2205) steps to the postpartum period (P=.004). Sleep during pregnancy also decreased from the second trimester to the third trimester by a mean of 20 minutes (95% CI -0.7 to 42 minutes; P=.06) and sleep time shortened an additional 1 hour (95% CI 39 minutes to 1.5 hours) after delivery (P<.001). The mean resting heart rate increased toward the third trimester and returned to the early pregnancy level during the postpartum period.</p><p><strong>Conclusions: </strong>The smart wristband with IoT technology was a feasible system for collecting representative data on continuous variables of health parameters during pregnancy. Continuous monitoring provides real-time information between scheduled appointments and thus may help target and tailor pregnancy follow-up.</p> | |
| dc.format.pagerange | e12417 | |
| dc.identifier.eissn | 2561-326X | |
| dc.identifier.jour-issn | 2561-326X | |
| dc.identifier.olddbid | 185299 | |
| dc.identifier.oldhandle | 10024/168393 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/42089 | |
| dc.identifier.url | https://formative.jmir.org/2020/7/e12417/ | |
| dc.identifier.urn | URN:NBN:fi-fe2021042824351 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Saarikko, Johanna | |
| dc.okm.affiliatedauthor | Niela-Vilen, Hannakaisa | |
| dc.okm.affiliatedauthor | Ekholm, Eeva | |
| dc.okm.affiliatedauthor | Hamari, Lotta | |
| dc.okm.affiliatedauthor | Azimi, Iman | |
| dc.okm.affiliatedauthor | Liljeberg, Pasi | |
| dc.okm.affiliatedauthor | Löyttyniemi, Eliisa | |
| dc.okm.affiliatedauthor | Axelin, Anna | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.affiliatedauthor | Rahmani, Amir | |
| dc.okm.discipline | 3141 Health care science | en_GB |
| dc.okm.discipline | 3141 Terveystiede | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher.country | Canada | en_GB |
| dc.publisher.country | Kanada | fi_FI |
| dc.publisher.country-code | CA | |
| dc.relation.doi | 10.2196/12417 | |
| dc.relation.ispartofjournal | JMIR Formative Research | |
| dc.relation.issue | 7 | |
| dc.relation.volume | 4 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/168393 | |
| dc.title | Continuous 7-month Internet of Things -based monitoring of health parameters of pregnant and Postpartum Women: prospective observational feasibility study | |
| dc.year.issued | 2020 |
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