Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26742
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dc.contributor.advisorGYSELAERS, Wilfried-
dc.contributor.advisorGRIETEN, Lars-
dc.contributor.advisorTHIJS, Inge-
dc.contributor.authorLANSSENS, Dorien-
dc.date.accessioned2018-09-25T09:24:27Z-
dc.date.available2018-09-25T09:24:27Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/1942/26742-
dc.description.abstractWorldwide, 5 to 8 % of all pregnant women develops GHD. In Flanders and UZ Brussels, the prevalence of gestational hypertensive disorders (GHD) was 4.6% in 2015. This means that yearly ca. 3000 of the 64000 pregnancies in Flanders are complicated with this disorder. This disease is linked to maternal and neonatal morbidity. To closely follow-up pregnant women at risk for GHD, they receive remote monitoring (RM) together with their standard prenatal care. RM can be defined as the use of telecommunication technologies to assist the transmission of medical information and services between healthcare providers and patients. Interventions can be performed when necessary. Current research is focused on investigating if RM has an added value in the care path of pregnancies complicated with GHD. This is called the Pregnancy Remote Monitoring (PREMOM) study. In this thesis, the study protocol was carried out as follow: the patients at risk received a blood pressure monitor, a weight scale and an activity tracker. They had to measure their blood pressure twice daily, register their weight once a week in the app and wear the activity tracker continuously. Those data were send, via Bluetooth and Wi-Fi, to an online dashboard. The midwife in the hospital controlled those values and contacted the responsible gyneacologist when abnormal events happened. Interventions were performed when necessary. Examples of those interventions are: start up or adjust the antihypertensive treatment, perform an 24h urine collection, an extra CTG or a prenatal hospitalization. In this thesis, we added some novel insights about the added value of RM in the prenatal care for women at risk for GHD. It became clear that non-invasive impedance monitoring can be a new method for continuous monitoring of the maternal vascular changes during any time window between preconception and postpartum. Also, the addition of RM in the prenatal care process for women at risk for GHD will lead to a reduction of prenatal hospitalization (until the moment of delivery) inductions and diagnoses of pre-eclampsia, when compared to women who received conventional care (CC). Additionally, is it more likely that the women in the TM group, vs. the CC group, will have more spontaneous starts of their birth process and are more likely to be diagnosed with gestational hypertension instead of pre-eclampsia. Caregivers and recently delivered women consider RM as an important aspect of the prenatal follow-up of women at risk for GHD and would recommend it to their colleagues and other women at risk for GHD. The caregivers only longed for an additional training on the technical aspects of the devices and the counseling of the patients. To conclude, RM can also become an cost saving in the total healthcare system, and this mainly for the National Institution for Insurance of Disease and Disability (RIZIV). This cost reduction is due to a marked reduction in the consumption of health care services for the women who received RM. Further analysis showed that cost savings are mainly located in the group of women who delivered before 34 weeks of gestational age. That we’re standing at the beginning of the technical (r)evolution in the healthcare has become clear. Also in other aspects of obstetrics is research ongoing about the added value of RM (for example in premature contractions or gestational diabetes mellitus). Following on this has the Belgian Government launched Action Point 19 in which is evaluated if RM can receive an reimbursement. The PREMOM project was one of the 24 selected projects. Final decisions will be made in the summer of 2018. However, this evolution not only influences on the policy level, but also midwives will have another task fulfillment when they engage themselves in this project. They will be set back to the care process of high risk pregnancies and will be the first contact person for the pregnant women/gynecologists when problems arise. An additional example of this is the care for vulnerable pregnant women. Despite the positive results which are mentioned, is there a need for an multicentric, randomized controlled to re-evaluate the added value of RM. A proposal for funding is accepted by The Research Foundation – Flanders.-
dc.description.abstractWereldwijd ontwikkelt 5 tot 8% van alle zwangeren gestationele hypertensieve aandoeningen (GHA). Volgens het Studiecenter van Perinatale Epidemiologie was in 2015 de prevalentie van GHA 4.6% in Vlaanderen en Brussel. Deze complicatie is geassocieerd met maternale en neonatale morbiditeit en mortaliteit. Om zwangeren met een verhoogd risico op GHA prenataal nauwgezet te kunnen opvolgen, krijgen zij telemonitoring (TM) toegevoegd aan hun prenatale follow-up. TM kan gedefinieerd worden als het gebruik van telecommunicatie technologieën om medische informatie vanuit de thuissituatie van de zwangere tot bij de zorgverlener in het ziekenhuis te transporteren. Indien nodig kunnen er interventies uitgevoerd worden. In het huidige onderzoek is er nagegaan of TM een toegevoegde waarde heeft in het zorgproces van zwangeren met een verhoogd risico op GHA. Dit werd de Pregnancy Remote Monitoring (PREMOM) studie genoemd. De PREMOM studie werd als volgt opgezet: de hoogrisico zwangeren kregen een bloeddrukmeter, weegschaal en activiteitsmeter. Er wordt aan hen gevraagd om twee maal per dag hun bloeddruk te meten, één maal per week hun gewicht in te geven op de app en de activiteitsmeter continu te dragen. Deze data worden via Bluetooth en Wi-Fi naar een online dashboard verzonden. De vroedvrouw in het ziekenhuis controleert deze waardes, en wanneer deze afwijkend zijn wordt er contact opgenomen met de verantwoordelijke gynaecoloog. Indien nodig kunnen er interventies toegepast worden zoals: aanpassen of opstarten van antihypertensiva, 24 uur urine collectie, een extra ambulante monitor of een prenatale opname. Deze thesis heeft bijgedragen aan een aantal nieuwe inzichten over de toegevoegde waarde van TM in de prenatale zorg van zwangeren met GHA. Zo werd het onder andere duidelijk dat niet invasieve impedantiemonitoring een nieuwe methode kan zijn voor het continu monitoren van de maternale vasculaire veranderingen van preconceptie tot postpartum. Ook zorgt het toevoegen van TM in het prenataal zorgproces van zwangeren met GHA er voor dat er minder prenatale hospitalisaties (tot het moment van bevalling) en inducties nodig zijn en er minder pre-eclampsies worden vastgesteld bij deze zwangeren, in vergelijking met zwangeren die de standaardzorg ontvangen. Bijkomstig start het geboorteproces bij deze zwangeren vaker spontaan en zullen deze zwangeren een hoger risico hebben voor gestationele hypertensie in plaats voor het ontwikkelen van pre-eclampsie, dan wanneer er geen TM aan hen aangeboden werd. Over het algemeen zijn zowel de recent bevallen moeders als de zorgverleners tevreden over deze technieken en zouden ze het ook aanraden aan hun collega’s en andere zwangeren met een verhoogd risico voor GHA. Enkel wensen de zorgverleners eerst een training rondom de technische aspecten van de toestellen en de counseling van de patiënten. Tot slot blijkt dat TM er ook voor zorgt dat er een kostenbesparing bekomen wordt voor de totale gezondheidszorg, en dit voornamelijk voor het Rijksinstituut voor Ziekte en Invaliditeitsverzekering (RIZIV). Deze vermindering van kosten hangt samen met de verminderde consumptie van zorg door de zwangeren die met TM opgevolgd worden. Verdere analyses toonden aan dat de kostenbesparing voornamelijk te vinden is in de groep zwangeren die bevallen voor 34 weken zwangerschap. Dat we nog maar aan het begin staan van een technologische (r)evolutie in de gezondheidszorg is reeds duidelijk geworden. Ook in andere aspecten van de verloskunde zijn er onderzoeken lopende omtrent de toegevoegde waarde van TM (in bv. preterme contracties of diabetes). Als gevolg hiervan heeft de overheid Actiepunt 19 gelanceerd waarin geëvalueerd wordt of TM in aanmerking komt voor terugbetaling. Het PREMOM project was één van de 24 geselecteerde projecten. De finale beslissing hierover wordt gemaakt in de zomer van 2018. Echter heeft deze evolutie niet enkel invloed op het beleidsniveau, ook de vroedvrouwen hun taakinvulling gaat anders worden wanneer zij zich engageren voor dit project. Zij worden immers teruggeplaatst in het zorgtraject van zwangerschappen met een verhoogd risico en worden opnieuw het eerste aanspreekpunt van de zwangeren en/of de gynaecologen bij problemen. Een bijkomend voorbeeld hiervan is de zorg rondom kwetsbare zwangeren. Ondanks deze positieve resultaten, is er nood aan een multicentrische, gerandomiseerde studie die de toegevoegde waarde van TM (opnieuw) onderzoekt. Een beursaanvraag hiervoor is geaccepteerd bij het Fonds Wetenschappelijk Onderzoek.-
dc.description.sponsorshipDorien Lanssens was supported by the Limburg Clinical Research Program (LCRP) UHasselt-ZOL-Jessa, supported by the foundation Limburg Sterk Merk, Hasselt University, Ziekenhuis Oost-Limburg and Jessa Hospital.-
dc.language.isoen-
dc.subject.otherremote monitoring; gestational hypertensive disorders; pre-eclampsia, telemonitoring-
dc.titleA remote monitoring follow-up program for women with gestational hypertensive disorders: The midwife in the pocket.-
dc.typeTheses and Dissertations-
local.format.pages268-
local.bibliographicCitation.jcatT1-
dc.relation.references1. Becker S, Miron - Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., & Albrecht, U. mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR Mhealth Uhealth. 2014;2(2):14. 2. Silva BM, Rodrigues JJ, de la Torre Diez I, Lopez-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. Journal of biomedical informatics. 2015;56:265-72. 3. Cruz J BD, & Marques A. A Home Telemonitoring in COPD: a Systematic Review of Methologies and Patients' Adherence. . INT J MED INFORM. 2014;83(14). 4. Emelda NO WP, & Magann E. Telemedicine in Obstetrics. CLIN OBSTET GYNECOL. 2013;56(3):12. 5. Cowie M, & Lobos, AA. Telemonitoring for patients with hearth failure. CMAJ. 2012;184(5):2. 6. Kitsiou S, Pare G. Effects of home telemonitoring interventions on patients with chronic heart failure: an overview of systematic reviews. 2015;17(3):e63. 7. Giamouzis G MD, Koutrakis K, Karayannis G, Parisis C, Rountas C, Adreanides E, Dafoulas G, Stafylas P, Skoularigis J, Giacomelli S, Olivari Z, & Triposkiadis F. Telemonitoring in Chronic Heart Failure: A Systematic Review. Cardiology Research and Practice. 2012;2012:7. 8. Purcell R, McInnes S, Halcomb EJ. Telemonitoring can assist in managing cardiovascular disease in primary care: a systematic review of systematic reviews. BMC family practice. 2014;15:43. 9. Mushcab H, Kernohan WG, Wallace J, Martin S. Web-Based Remote Monitoring Systems for Self-Managing Type 2 Diabetes: A Systematic Review. Diabetes Technol Ther. 2015;17(7):498-509. 10. Gerris J, Delvigne A, Dhont N, Vandekerckhove F, Madoc B, Buyle M, et al. Self-operated endovaginal telemonitoring versus traditional monitoring of ovarian stimulation in assisted reproduction: an RCT. Human reproduction (Oxford, England). 2014;29(9):1941-8. 11. Gerris J, Geril A, De Sutter P. Patient acceptance of Self-Operated Endovaginal Telemonitoring (SOET): proof of concept. Facts, views & vision in ObGyn. 2009;1(3):161-70. 12. Pereira I, von Horn K, Depenbusch M, Schultze-Mosgau A, Griesinger G. Self-operated endovaginal telemonitoring: a prospective, clinical validation study. Fertility and sterility. 2016;106(2):306-10.e1. 13. Corwin MJ MS, Sunderij SG, Gall S, How H, Patel V, & Gray M. Multicenter randomized clinical trial of home uterine activity monitoring: Pregnancy outcomes for all women randomized. AM J OBSTET GYNECOL. 1996;175(5):5. 14. Wapner JR, Cotton, D.B., Artal, R., Librizzi, R.J., & Ross, M.G. A randomized multicenter trial assessing a home uterine activity monitoring device used in the absence of daily nursing contact. Am J Obstet Gynecol. 1995;172(8):1026. 15. Homko CJ, Santamore, W.P., Whiteman, V., Bower, M., Berger, P., Geifman-Holtzman, O., & Bove, A. A. Use of an Internet-Based Telemedicine System to Manage Underserved Women with Gestational Diabetes Mellitus. Diabetes Technology & Therapeutics. 2007;9(3):10. 16. Homko CJ DL, Rohrbacher K, Mulla W, Mastrogiannis D, Gaughan J, Santamore W, & Bove AA. Impact of a Telemedicine System with Automated Reminders on Outcomes in Women with Gestational Diabetes Mellitus. DIABETES TECHNOL THE. 2012;14(7):6. 17. Pérez-Ferre N GM, Fernandez D, Velasco V, Runkle I, de la Cruz MJ, Rojas-Marcos PR, del Valle L, & Calle-Pascual AL. The Outcomes of Gestational Diabetes Mellitus after a Telecare Approach Are Not Inferior to Traditional Outpatient Clinic Visists. International journal of endocrinology. 2010;2010:6. 18. Pérez-Ferre N GM, Fernandez D, Velasco V, Runkle I, de la Cruz MJ, Rojas-Marcos PR, del Valle L, & Calle-Pascual AL. A Telemedicine system based on Internet and short message service as a new approach in the follow-up of patients with gestational diabetes. Diabetes Research and Clinical Practice. 2010;87:3. 19. Dalfra MG, Nicolucci A, Lapolla A. The effect of telemedicine on outcome and quality of life in pregnant women with diabetes. Journal of telemedicine and telecare. 2009;15(5):238-42. 20. Rauf Z, O'Brien, E., Stampalija, T., Illioniu, F.P., Lavender, T., & Alfirevic, Z. Home Labour Induction with Retrievable Prostaglandin Pessary and Continuous Telemetric Trans-Abdominal Fetal ECG Monitoring. PloS one. 2011;6(11):5. 21. O'Brien E, Rauf, Z., Alfirevic, Z., Lavender, T. Women's experiences of outpatient induction of labour with remote continuous monitoring. Midwifery. 2013;29:7. 22. Morrison J BN, Jacques D, Coleman S K & Tanziano GJ. Telemedicine: Cost-effective Management of High Risk Pregnancy. MANAG CARE. 2001;10(11):8. 23. Sibai B, Dekker G, Kupferminc M. Pre-eclampsia. Lancet. 2005;365(9461):785-99. 24. Devlieger R. ME, Martens G., Van Mol C., Cammu H. Perinatale Activiteiten in Vlaanderen 2016. Brussel: SPE; 2017. 25. Uzan J CM, Piconne O, Asmar R, Ayoubi JM. Pre-eclampsia: pathophysiology, diagnosis, and management. VASC HEALTH RISK MANAGEMENT. 2011;7:8. 26. Duley L. The global impact of pre-eclampsia and eclampsia. Seminars in perinatology. 2009;33(3):130-7. 27. Report of the National High Blood Pressure Education Program Working Group on High Blood Pressure in Pregnancy. Am J Obstet Gynecol. 2000;183(1):S1-s22. 28. Tranquili GD, L. Magee, J. Roberts, BM. Sibai, W. Steyn et al. . The Classification, Diagnosis and Management of the Hypertensive Disorders of Pregnancy: A revised Statement from the ISSHP. Pregnancy hypertension. 2014;106(45):7. 29. Murphy DJ, Stirrat GM. Mortality and morbidity associated with early-onset preeclampsia. Hypertens Pregnancy. 2000;19(2):221-31. 30. Redman CW, Sargent IL. The pathogenesis of pre-eclampsia. Gynecologie, obstetrique & fertilite. 2001;29(7-8):518-22. 31. Bartsch E MK, Park AL, Ray JG; High Risk of Pre-eclampsia Identification Group. Clinical risk factors for pre-eclampsia determined in early pregnancy: systematic review and meta-analysis of large cohort studies. Bmj. 2016;19(353):28. 32. Verdecchia P, Angeli F, Poeta F, Reboldi GP, Borgioni C, Pittavini L, et al. Validation of the A&D UA-774 (UA-767Plus) device for self-measurement of blood pressure. Blood pressure monitoring. 2004;9(4):225-9. 33. Collaboration TC. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.02011. 34. Group TCHUMSC. A multicenter randomized controlled trial monitoring: Active versus sham device of home uterine. Am J Obstet Gynecol. 1995;173(4):8. 35. Kuleva M, Salomon, L.J., Benoist, G., Ville, Y., & Dumez, Y. The Value of Daily Fetal Heart Rate Home Monitoring in Addition to Serial Ultrasound Examinations in Pregnancies Complicated by Fetal Gastroschisis. Prenatal Diagnosis. 2012;32:8. 36. Brown HL BK, Brizendine EJ, Hiett K, Ingram D, Turnquest MA, Golichowski AM, & Abernathy MP. A randomized comparison of home uterine activity monitoring in the outpatient management of women treated for preterm labor. AM J OBSTET GYNECOL. 1999;180(4):8. 37. Buysse H, De Moor, G., Van Maele, G., Baert, E., Thienpont, G., Temmerman, M. Cost-effectiveness of telemonitoring for high-risk pregnant women. International Journal of Medical Informatics. 2008;77:7. 38. Baer R, Lyell, D., Norton, M., Currier, R., & Jelliffe-Pawlowski, L. First trimester pregnancy-associated plasma protein-A and birth weight. European Journal of Obstetrics & Gynaecology and Reproductive Biology. 2016;198(2016):6. 39. Gyselaers W SV, & Grieten L. New Technologies to reduce Medicalization of Prenatal Care: a Contradiction with Realistic Perspectives. EXPERT REV MED DEVIC. 2016:10. 40. Cox DA, Ginde S, Kuhlmann RS, Earing MG. Management of the pregnant woman with Marfan syndrome complicated by ascending aorta dilation. Archives of gynecology and obstetrics. 2014;290(4):797-802. 41. Curry RA, Gelson E, Swan L, Dob D, Babu-Narayan SV, Gatzoulis MA, et al. Marfan syndrome and pregnancy: maternal and neonatal outcomes. BJOG : an international journal of obstetrics and gynaecology. 2014;121(5):610-7. 42. Gyselaers W, Tomsin, K., Staelens, A., Mesens, T., Olen, J., & Molenberghs, G. Maternal venous hemodynamics in gestational hypertension and preeclampsia. BMC pregnancy and childbirth. 2014;14(212):8. 43. Morris R, Sunesara I, Rush L, Anderson B, Blake PG, Darby M, et al. Maternal hemodynamics by thoracic impedance cardiography for normal pregnancy and the postpartum period. Obstetrics and gynecology. 2014;123(2 Pt 1):318-24. 44. Wang L. Fundamentals of Intrathoracic Impedance Monitoring in Heart Failure. AJConline. 2007;99(10A):10. 45. Tkachenko O, Shchekochikhin, D., & Schrier, R. Hormones and Hemodynamics in Pregnancy. Int J Endocrinol Metab. 2014;12(2):8. 46. Seth R, Moss, A., McNitt, S., Zareba, W., Andrews, M.L., Qi, M., Robinson, J., Goldenberg, I., Ackerman, M., Benhorin, J., Kaufman, E., Locati, E., Napolitano, C., Priori, S., Schwartz, P., Towbin, J., Vincent, M., & Zhang, L. Long QT Syndrome and Pregnancy. Journal of the American College of Cardiology. 2007;49(10):6. 47. Andreas M, Kuessel, L., Kasti, S.P., Wirth, S., Gruber, K., Rhomberg, F., Gomari-Grisar, F.A., Franz, M., Zeisler, H., & Gottsauner-Wolf, M. Bioimpedance Cardiography in Pregnancy: A Longitudinal Cohort Study on Hemodynamic Pattern and Outcome. BMC pregnancy and childbirth. 2016;16(128):9. 48. Tan EK, & Tan, E. L. Alternations in Physiology and Anatomy during Pregnancy. Best Practice & Research Clinical Obstetrics and Gynaecology. 2013;27:12. 49. Singh R. Hypertensive Disorders in Pregnancy. Clinical Queries: Nephrology. 2013;2:9. 50. Magee LA PA, Helewa M, Rey E, von Dadelszen P, On behalf of the Canadian Hypertensive Disorders of Pregnancy (HDP) Working Group. Diagnosis, Evaluation, and Management of the Hypertensive Disorders of Pregnancy. Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health. 2014;4:41. 51. Gudnadottir TA BB, Hernadez-Diaz S, Luque - Fernandez MA, Valdimarsdottir U, & Zoega H. Body Mass Index, Smoking and Hypertensivve Disorders during Pregnancy: A Populatoin Basec Case-Control Study. PloS one. 2016;11(3):12. 52. van Baaren GJ BK, van Pampus MG, Ganzevoort W, Sikkema JM, Woiski MD, Oudijk MA, Bloemenkamp KWM, Scheepers HCJ, Bremer HA, Rijders RJP, van Loon AJ, Perquin DAM, Sporken JMJ, Papatsonis DNM, van Huizen ME, Vredevoogd CB, Brons JTJ, Kaplan M, van Kaam AH, Groen H, Porath M, van den Berg PP, Mol BWJ, Franssen MTM, Langenveld J for the HYPITAT-II Study Group. An Economic Analysis of Immediate Delivery and Expectant Monitoring in Women with Hypertensive Disorders of Pregnancy, Between 34 and 37 Weeks of Gestation (HYPITAT-II). BJOG : an international journal of obstetrics and gynaecology. 2016:9. 53. Bolton CE WC, Peirce S, & Elwyn G. Insufficient evidence of benefit: a systematic review of home telemonitoring for COPD. J EVAL CLIN PRACT. 2011;17:1216. 54. Communication from the Commission to the European Parlaiment tC, the European Economic and Social Committee and the Committee of the Regions. eHealth Action Plan 2012 - 2020 - Innovative Healthcare for the 21st Century. Brussels: European Commission; 2012. 55. Bramham K PB, & Chappell LC. Chronic Hypertension and Pregnancy Outcome: Systematic Review and Meta-analysis. Bmj. 2014;348:13. 56. Y B. No Hypertensive Disorder of Pregnancy; No Preeclampsia-eclampsia; No Gestational Hypertension; No Hellp Syndrome. Vascular Disorder of Pregnancy Speaks for All. ETHIOP J HEALTH SCI. 2016;26(2):10. 57. Abalos E DL, & Steyn DW. Antihypertensive Drug Therapy for Mild to Moderate Hypertension during Pregnancy (Review). The Cochrane database of systematic reviews. 2014(2):200. 58. ML C. Preeclampsia: Reflections on How to Counsel about Preventing Recurrence. J OBSTES GYNAECOL CAN. 2015;37(10):7. 59. Klocek M CD. Hypertension during Pregnancy - How to manage Effectiverly? PRZEGI LEK. 2015;72(4):4. 60. Jiang N LQ, Liu L, Yang WW, & Zeng Y. The Effect of Calcium Channel Blokkers on Prevention of Preeclampsia in Pregnant Women with Chronic Hypertension. CLIN EXP OBSTET GYNECOL. 2015;42(1):3. 61. L D. Pre-eclampsia, Eclampsia, and Hypertension. Clinical Evidence. 2011;02(1402):56. 62. Zakiyah N PM, Baker PN, & van Asselt ADI. Pre-eclampsia Diagnosis and Treatment Options: A Review of Published Economic Assessments. PHARMACOECONOMICS. 2015;33:14. 63. E G. New Approaches for Managing Preeclampsia: Clues from Clinical and Basic Research. Clinical therapeutics. 2014;36(12):12. 64. Johanson R NM, & Macfarlane A. Has the Medicalisation of Childbirth gone too far? Bmj. 2002;324:4. 65. Christiaens W VDVS, & Bracke P. Pregnant Women's Fear of Childbirth in Midwife- and Obstetrician-led care in Belgium and the Nederlands: test of the Medicalization Hypothesis. Women Health. 2011;51(3):20. 66. Mobarakabadi SS NK, & Tabatabaie MG. Ambivalence Towards Childbirth in a Medicalized Context: A Qualitative Inquiry Among Iranian Mothers. Iranian Red Crescent medical journal. 2015;17(3):6. 67. SC K. A Gender Perspective on Medicalized Childbirth. HU LI ZA ZHI. 2015;62(1). 68. DC P. "We wanted a Birth Experience, not a Medical Experience": exploring Canadian Women's use of Midwifery. HEALTH CARE WOMEN INT. 2008;29(8):22. 69. JC S. The Medicalization of Birth and Midwifery as Resistance. HEALTH CARE WOMEN INT. 2013;34(6). 70. Wallis AB TE, Saftlas AF, & Sibai BM. Prenatal education is an opportunity for improved outcomes in hypertensive disorders of pregnancy: results form an Internet-based survey. The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet. 2013;26(16):3. 71. Magro-Malosso ER, Saccone G, Di Tommaso M, Roman A, Berghella V. Exercise during pregnancy and risk of gestational hypertensive disorders: a systematic review and meta-analysis. Acta obstetricia et gynecologica Scandinavica. 2017. 72. Tranquilli AL, Dekker G, Magee L, Roberts J, Sibai BM, Steyn W, et al. The classification, diagnosis and management of the hypertensive disorders of pregnancy: A revised statement from the ISSHP. Pregnancy hypertension. 2014;4(2):97-104. 73. Lanssens D, Vandenberk, T., Smeets, CJ., De Cannière, H., Molenberghs, G., Van Moerbeke, A., van den Hoogen, A., Roibjns, T., Vonck, S., Staelens, A., Storms, V., Thijs, IM., Grieten, L., & Gyselaers, W. Remote Monitoring of Hypertension Diseases in Pregnancy: a Pilot Study. JMIR Mhealth Uhealth. 2017;5(3):10. 74. Reid SM, Middleton P, Cossich MC, Crowther CA, Bain E. Interventions for clinical and subclinical hypothyroidism pre-pregnancy and during pregnancy. The Cochrane database of systematic reviews. 2013(5):Cd007752. 75. do Prado AD, Piovesan DM, Staub HL, Horta BL. Association of anticardiolipin antibodies with preeclampsia: a systematic review and meta-analysis. Obstetrics and gynecology. 2010;116(6):1433-43. 76. Smyth A, Oliveira GH, Lahr BD, Bailey KR, Norby SM, Garovic VD. A systematic review and meta-analysis of pregnancy outcomes in patients with systemic lupus erythematosus and lupus nephritis. Clinical journal of the American Society of Nephrology : CJASN. 2010;5(11):2060-8. 77. Marko KI, Krapf JM. Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial. 2016;5(4):e200. 78. Wijsman LW, Richard E. Evaluation of the Use of Home Blood Pressure Measurement Using Mobile Phone-Assisted Technology: The iVitality Proof-of-Principle Study. 2016;4(2):e67. 79. Milani RV, Lavie CJ, Bober RM, Milani AR, Ventura HO. Improving Hypertension Control and Patient Engagement Using Digital Tools. The American journal of medicine. 2017;130(1):14-20. 80. Li WW, Lai WS. [The Use of Telemedicine Interventions to Improve Hypertension Management Among Racial Ethnic Minorities: A Systematic Review]. Hu Li Za Zhi. 2016;63(4):25-34. 81. Omboni S, Caserini M, Coronetti C. Telemedicine and M-Health in Hypertension Management: Technologies, Applications and Clinical Evidence. High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension. 2016;23(3):187-96. 82. Goldberg EM, Levy PD. New Approaches to Evaluating and Monitoring Blood Pressure. Current hypertension reports. 2016;18(6):49. 83. Evangelia Kintiraki SP, George Kotronis, Dimitrios G. Goulis, & Vasilios Kotsis. Pregnancy-induced hypertension. Hormones. 2015;14(2):12. 84. Abalos E, Duley, L., Steyn, D.W., & Henderson - Smart, D.J. Antihypertensive Drug Therapy for Mild to Moderate Hypertension during Pregnancy. The Cochrane database of systematic reviews. 2007;2001(2). 85. Forno E, Young, O.M., Kumar, R., Simhan, H., & Celedon, J.C. Maternal Obesity in Pregnancy, Gestational Weight Gain, and Risk of Childhood Asthma. Pediatrics. 2014;134(2):12. 86. Nerenberg K, Daskalopoulou, S. S., & Dasgupta, K. Gestational Diabetes and Hypertensive Disorders of Pregnancy as Vascular Risk Signals: An Overview and Grading of the Evidence. Canadian Journal of Cardiology. 2014;30(7):9. 87. Withworth M, & Dowswell, T. Routine Pre-Pregnancy Health Promotion for Improving Pregnancy Outcomes. The Cochrane database of systematic reviews. 2014(4):38. 88. Saner H, & van der Velde, E. eHealth in Cardiovascular Medicine: A Clinical Update. European Journal of Preventive Cardiology. 2016;23(2S):8. 89. COCIR. COCIR Telemedicine Toolkit for a better Deployment and Use of Telehealth. 2011:37. 90. Lanssens D VT, Smeets C, De Cannière H, Vonck S, Claessens J, Heyrman Y, Vandijck D, Storms V, Thijs I, Grieten L, Gyselaers W. Cost- analysis of prenatal remote monitoring of women with gestational hypertensive diseases. 2018. 91. Lanssens D, Vonck S, Storms V, Thijs IM, Grieten L, Gyselaers W. The impact of a remote monitoring program on the prenatal follow-up of women with gestational hypertensive disorders. Journal of medical Internet research. 2018;223:72-8. 92. Lanssens D, Van Moerbeke, A., van den Hoogen, A., Geusens, N., Grieten, L., & Gyselaers, W. E4. Remote Prenatal Follow-up of Patients at Risk for Gestational Hypertensive Disorders: Maternal and Neonatal Outcomes. The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet. 2016;29(sup2)(24):1. 93. Health VHCM. Mhealth als Sleutel tot Kwaliteit en Betaalbaarheid van Zorg. In: Ondernemingen VNv, editor. p. 44. 94. Devlieger R. ME, Martens G., Van Mol C., Cammu H. Perinatale activiteiten in Vlaanderen 2015. Brussel: SPE; 2016. 95. RIZIV. Rijksinstituut voor ziekte- en invaliditeitsverzekering Brussel2017. 96. Malehi A, Pourmotahari, F., & Angali KA. Statistical Models for the Analysis of Skewed Healthcare Cost Data: a simulation study. Health Economics Review. 2015;5(11):16. 97. Korvenranta E, Lehtonen, L., Rautave, L., Häkkinen, U., Andersson, S., Gissler, M., Hallman, M., Leipälä, J., Peltola, M., Tammela, O., & Linna, M. Impact of very preterm birth on health care costs at five years of age. Pediatrics. 2010;125(5). 98. Petrou S, & Khan, K. Economic costs associated with moderate and late preterm birth: primary and secondary evidence. Semin Fetal Neonatal Med. 2012;17(3):9. 99. Petrou S, Eddama, O., & Mangham, L. A structured review of the recent literature on the economic consequences of preterm birth. Arch Dis Child Fetal Neonatal Ed. 2011;96(3):8. 100. Cavallo M, Gugiatti, A., Fattore, G., Gerzeli, S., Barbieri, D., & Zanini, R. Cost of care and social consequences of very low birth weight infants without premature-related morbidities in Italy. Ital J Pediatr. 2015;41(59). 101. Cuevas K, Silver, DR., Brooten, D., Youngblut, JM., & Bobo, CM. The cost of prematurity: hospital charges at birth and frequency of rehospitalizations and acute care visits over the first year of life: a comparison by gestational age and birth weight. Am J Nurs. 2005;105(7):9. 102. Hermida DEARC. Ambulatory Blood Pressure Monitoring for the Early Identification of Hypertension in Pregnancy. Chronobiology International 2012;30(1 - 2):26. 103. Garovic AGKVD. The Management of Hypertension in Pregnancy. Adv Chronic Kidney Dis. 2013;20(3):10. 104. Ganapathy R GA, Castleman JS. Remote monitoring of blood pressure to reduce the risk of preeclampsia related complications with an innovative use of mobile technology. Pregnancy Hypertens. 2016;6(4):12. 105. Rhoads SJ, Serrano CI, Lynch CE, Ounpraseuth ST, Gauss CH, Payakachat N, et al. Exploring Implementation of m-Health Monitoring in Postpartum Women with Hypertension. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2017. 106. Rosner BI GM, Anderson WN. Effectiveness of an Automated Digital Remote Guidance and Telemonitoring Platform on Costs, Readmissions, and Complications After Hip and Knee Arthroplasties. J Arthroplasty. 2017;pii: S0883-5403(17):9. 107. Clarke M FJ, Connolly N, Sharma U, Jones R. Evaluation of the National Health Service (NHS) Direct Pilot Telehealth Program: Cost-Effectiveness Analysis. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2017. 108. Duffy JM, van 't Hooft J, Gale C, Brown M, Grobman W, Fitzpatrick R, et al. A protocol for developing, disseminating, and implementing a core outcome set for pre-eclampsia. Pregnancy hypertension. 2016;6(4):274-8. 109. Gyselaers W, Spaanderman M. Assessment of venous hemodynamics and volume homeostasis during pregnancy: recommendations of the International Working Group on Maternal Hemodynamics. Ultrasound Obstet Gynecol. 2017. 110. Imershein AW. TC, Wells JG., Pearman A. Covering the Costs of Care in Neonatal Intensive Care Units. Pediatrics. 1992;89(1):8. 111. Pourat N. MA, Jones JM., Gregory KD., Korst L., Kominski GF.,. Costs of Gestational Hypertensive Disorders in California: Hypertension, Preeclampsia, and Eclampsia. . Los Angles: UCLA Center for Health Policy Research; 2013. 112. Staelens AS, Vonck S, Tomsin K, Gyselaers W. Clinical inference of maternal renal venous Doppler ultrasonography. Ultrasound Obstet Gynecol. 2017;49(1):155-6. 113. Staelens AS, Vonck S, Molenberghs G, Malbrain ML, Gyselaers W. Maternal body fluid composition in uncomplicated pregnancies and preeclampsia: a bioelectrical impedance analysis. European journal of obstetrics, gynecology, and reproductive biology. 2016;204:69-73. 114. Gyselaers W, Staelens, A., Mesens, T., Tomsin, K., Oben, J., Vonck, S., Verresen, L., & Molenberghs, G. Maternal venous Doppler characteristics are abnormal in pre-eclamspia, but not in gestational hypertension. Ultrasound Obstet Gynecol. 2015;45(6):421. 115. Tomsin K VA, Mesens T, Gyselaers W. Non-invasive cardiovascular profiling using combined electrocardiogram-Doppler ultrasonography and impedance cardiography: an experimental approach. . Clin Exp Pharmacol Physiol 2013;40:4. 116. Khalil A, Garcia-Mandujano R, Maiz N, Elkhouli M, Nicolaides KH. Longitudinal changes in uterine artery Doppler and blood pressure and risk of pre-eclampsia. Ultrasound Obstet Gynecol. 2014;43(5):541-7. 117. Staelens A, Tomsin K, Grieten L, Oben J, Mesens T, Spaanderman M, et al. Non-invasive assessment of gestational hemodynamics: benefits and limitations of impedance cardiography versus other techniques. Expert Rev Med Devices. 2013;10(6):765-79. 118. Tomsin K, Mesens T, Molenberghs G, Gyselaers W. Impedance cardiography in uncomplicated pregnancy and pre-eclampsia: a reliability study. Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology. 2012;32(7):630-4. 119. Vinayagam D, Patey O, Thilaganathan B, Khalil A. Cardiac output assessment in pregnancy: comparison of two automated monitors with echocardiography. Ultrasound Obstet Gynecol. 2017;49(1):32-8. 120. Hirshberg A, Downes K, Srinivas S. Comparing standard office-based follow-up with text-based remote monitoring in the management of postpartum hypertension: a randomised clinical trial. BMJ quality & safety. 2018. 121. Lanssens D VT, Lodewijckx J, Peeters T, Thijs IM, Grieten L, Gyselaers W. The perceptions of midwives, obstetricians, and recently delivered mothers to remote monitoring for prenatal care. Journal of Maternal- fetal & neonatal medicine. 2018;under review. 122. D L. Emerging mHealth: Paths for growth. New York: Pricewaterhouse Coopers, 2012. 123. D W. How Mobile Devices are Transforming Healthcare. Issues in Technology Innovation. 2012;18:14. 124. Perry H, Sheehan E, Thilaganathan B, Khalil A. Home blood-pressure monitoring in a hypertensive pregnant population. 2018;51(4):524-30. 125. Xydopoulos G, Perry H. Home blood-pressure monitoring in a hypertensive pregnant population: cost minimisation study. 2018. 126. Mackillop L, Hirst JE. Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial. 2018;6(3):e71. 127. Altini M, Rossetti, E., Rooijakkers, M., Penders, J., Lanssens, D., Grieten, L., & Gyselaers, W. Combining electrohysterography and heart rate data to detect labour. Biomedical & Health Informatics; Orlando, FL, USA2017. 128. Altini M, Mullan P, Rooijakkers M, Gradl S, Penders J, Geusens N, et al. Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference. 2016;2016:5319-22. 129. Hurkmans E, Matthys C. Face-to-Face Versus Mobile Versus Blended Weight Loss Program: Randomized Clinical Trial. 2018;6(1):e14. 130. Bogaerts A, Ameye L, Bijlholt M, Amuli K, Heynickx D, Devlieger R. INTER-ACT: prevention of pregnancy complications through an e-health driven interpregnancy lifestyle intervention - study protocol of a multicentre randomised controlled trial. 2017;17(1):154. 131. Lanssens D, Vonck, S., Thijs, I.M., Grieten, L., Gyselaers, W. . Nieuwe opportuniteiten en uitdagingen voor de vroedvrouw in een beleid met telemonitoring van zwangere vrouwen met gestationele hypertensie aandoeningen. Tijdschrift voor Vroedvrouwen. 2018;24(1):4. 132. Dekkers N, Goemaes, R., Neirinckx, J., Seuntjens, L. & Smets, K. Zwangerschapsbegeleiding 2015. Available from: https://www.domusmedica.be/varia/docman-alles/publiek/praktijkdocumenten/richtlijnen/731-zwangerschapsbegeleiding-1/file.html. 133. Vroedvrouwen FRvd. Het beroeps- en competentieprofiel van de Belgische vroedvrouw. In: Federale Overheidsdienst Volksgezondheid VvdVeL, editor. Brussel2016. p. 24. 134. Zeitlin J ML, Prunet C, Macfarlane A, Hindori-Mohangoo AD, Gissler M, Szamotulska K, van der Pal K, Bolumar F, Andersen AM, Ólafsdóttir HS, Zhang WH, Blondel B, Alexander S; Euro-Peristat Scientific Committee. Socioeconomic inequalities in stillbirth rates in Europe: measuring the gap using routine data from the Euro-Peristat Project. BMC pregnancy and childbirth. 2016;19(16):19. 135. Linard M, Blondel B, Estellat C, Deneux-Tharaux C, Luton D, Oury JF, et al. Association between inadequate antenatal care utilisation and severe perinatal and maternal morbidity: an analysis in the PreCARE cohort. BJOG : an international journal of obstetrics and gynaecology. 2018;125(5):587-95. 136. Linard M, Deneux-Tharaux C, Azria E. Authors' reply re: Association between inadequate antenatal care utilisation and severe perinatal and maternal morbidity: an analysis in the PreCARE cohort. BJOG : an international journal of obstetrics and gynaecology. 2018;125(5):626. 137. Pandey S, Tyagi R, Tyagi I. Re: Association between inadequate antenatal care utilisation and severe perinatal and maternal morbidity: an analysis in the PreCARE cohort: Antenatal care utilisation and severe perinatal/maternal morbidity in PreCARE cohort. BJOG : an international journal of obstetrics and gynaecology. 2018;125(5):625. 138. Gyselaers W JP, Ahmadzai N, Ansari MT, Carville S, Dworzynski K, Gaudet L, Glen J, Jones K, Miller P, Tetzlaff JM, Alexander S, Allegaert K, Beeckman K, Ceysens G, Christiane Y, De Ronne N, De Thysebaert B, Dekker N, Denys A, Eeckeleers P, Hernandez A, Mathieu E, Seuntjens L, Verleye L, Stordeur S. Welke onderzoeken zijn aanbevolen bij een zwangerschap? 2015.-
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item.contributorLANSSENS, Dorien-
item.fullcitationLANSSENS, Dorien (2018) A remote monitoring follow-up program for women with gestational hypertensive disorders: The midwife in the pocket..-
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