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dc.date.accessioned2023-12-11T17:24:14Z
dc.date.available2023-12-11T17:24:14Z
dc.date.created2023-08-23T15:51:37Z
dc.date.issued2023
dc.identifier.citationBlom-Bakke, Kjersti Mørkrid Ghanem, Buthaina Abbas, Eatimad Khader, Khadija Abu Ward, Itimad Abu Ataallah, Amjad Baniode, Mohammad Bogale, Binyam Hijaz, Taghreed Frost, Kimberly Frost, Michael James Isbeih, Mervett Issawi, Sally Nazzal, Zaher A.S. O’Donnell, Brian Papadopoulou, Eleni Zoumpoulia Qaddomi, Sharif Rabah, Yousef Rose, Christopher James Venkateswaran, Mahima Frøen, Jahn Frederik . Quality improvement dashboard for healthcare providers and targeted client communication to pregnant women to improve timely attendance and quality of antenatal care: A multi-arm cluster randomized trial (the eRegCom trial). Oxford Open Digital Health. 2023, 1, 1-10
dc.identifier.urihttp://hdl.handle.net/10852/106239
dc.description.abstractAbstract Background: Digital health interventions can strengthen coverage and quality of care. Our aim was to assess the effectiveness of targeted client communication (TCC) to pregnant women via text messages, health care provider communication via a quality improvement dashboard (QID) and the combination of TCC and QID—generated and delivered from a digital maternal and child health registry (MCH eRegistry), running on the District Health Information Software 2 (DHIS2) platform in West Bank and Gaza. The control was the regular MCH eRegistry. Methods: We included 137 clusters in a four-arm cluster randomized controlled trial. Primary outcomes were appropriate screening and management of anemia, hypertension and diabetes during pregnancy, and timely attendance to routine antenatal care (ANC). Results: The COVID-19 pandemic interrupted the trial, which failed to achieve the estimated sample size. Between 1 December 2019 and 23 March 2020, 4138 women attended ANC in the TCC, 3553 in the QID, 4223 in the TCC & QID and 3324 in the control arm. In the TCC arm, 76.5% of the visits were attended timely versus 73.4% in the control arm, (adjusted odds ratio, 1.2; 95% confidence interval, 0.90–1.61). We found no difference between QID and control, or between TCC & QID control in the proportion of visits where anemia, hypertension and diabetes were appropriately screened and managed. Conclusion: The routine individual-level data of the MCH eRegistry enabled the implementation of theory-driven TCC and QID. However, the COVID-19 pandemic interrupted this trial of TCC and QID, and we were unable to observe any significant effect. Trial registration: ISRCTN Registry, ISRCTN10520687.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleQuality improvement dashboard for healthcare providers and targeted client communication to pregnant women to improve timely attendance and quality of antenatal care: A multi-arm cluster randomized trial (the eRegCom trial)
dc.title.alternativeENEngelskEnglishQuality improvement dashboard for healthcare providers and targeted client communication to pregnant women to improve timely attendance and quality of antenatal care: A multi-arm cluster randomized trial (the eRegCom trial)
dc.typeJournal article
dc.creator.authorBlom-Bakke, Kjersti Mørkrid
dc.creator.authorGhanem, Buthaina
dc.creator.authorAbbas, Eatimad
dc.creator.authorKhader, Khadija Abu
dc.creator.authorWard, Itimad Abu
dc.creator.authorAtaallah, Amjad
dc.creator.authorBaniode, Mohammad
dc.creator.authorBogale, Binyam
dc.creator.authorHijaz, Taghreed
dc.creator.authorFrost, Kimberly
dc.creator.authorFrost, Michael James
dc.creator.authorIsbeih, Mervett
dc.creator.authorIssawi, Sally
dc.creator.authorNazzal, Zaher A.S.
dc.creator.authorO’Donnell, Brian
dc.creator.authorPapadopoulou, Eleni Zoumpoulia
dc.creator.authorQaddomi, Sharif
dc.creator.authorRabah, Yousef
dc.creator.authorRose, Christopher James
dc.creator.authorVenkateswaran, Mahima
dc.creator.authorFrøen, Jahn Frederik
cristin.unitcode185,53,0,0
cristin.unitnameInstitutt for klinisk medisin
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin2169129
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Oxford Open Digital Health&rft.volume=1&rft.spage=1&rft.date=2023
dc.identifier.jtitleOxford Open Digital Health
dc.identifier.volume1
dc.identifier.doihttps://doi.org/10.1093/oodh/oqad010
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2754-4591
dc.type.versionPublishedVersion
cristin.articleidoqad010
dc.relation.projectERC/617639
dc.relation.projectNFR/234376
dc.relation.projectNFR/223269


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