UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

The ZIKApp for detection of potential arbovirus infections and pregnancy complications in pregnant women in Jamaica: a pilot study

Ruiz-Burga, Elisa; Bruijning-Verhagen, Patricia; Palmer, Paulette; Sandcroft, Annalisa; Fernandes, Georgina; de Hoog, Marieke; Bryan, Lenroy; ... DC Christie, Celia; + view all (2022) The ZIKApp for detection of potential arbovirus infections and pregnancy complications in pregnant women in Jamaica: a pilot study. JMIR Formative Research , 6 (7) , Article e34423. 10.2196/34423. Green open access

[thumbnail of Ruiz Burga_PDF_JMIR.pdf]
Preview
Text
Ruiz Burga_PDF_JMIR.pdf

Download (783kB) | Preview

Abstract

Background: Evidence of the benefits of mHealth technology including symptom tracking Apps for research, surveillance and prevention is growing, including for arboviruses and for pregnancy interventions. No study has yet addressed arbovirus symptom tracking in pregnancy. Objective: To evaluate the use of a smartphone app (“ZIKApp”) designed to self-report arbovirus symptoms and pregnancy complications, and to assess compliance with daily symptom diaries until the end of pregnancy in a cohort of women in an arbovirus endemic, subtropical, middle-developing country (Jamaica). Methods: Pregnant women aged 16 and over, having a smartphone, and planning on delivering at the recruiting centre were enrolled from an antenatal clinic in February-July 2020. The ZIKApp comprised a daily symptom diary based on algorithms to identify potential episodes of arboviral infection and/or pregnancy complications that triggered automatic notifications to participants. Socio-demographic, epidemiological and obstetric information was collected at enrolment, with additional review of medical records; and users' perception through an exit survey. Descriptive analyses and logistic regression of possible factors associated with diary adherence were performed. Results: Of 173 women enrolled, 90% (157) used ZIKApp for median duration of 155 days between enrolment and pregnancy end, six used the app for < 7days and 10 exited the study early. For each successive 30 day period from enrolment up to 150 days post-enrolment, 77-82% of these 157 women completed their daily symptom diary; 32-36% did so on the same day. Overall, 50 (31.9%) women had ‘good adherence’ to diary reporting (i.e. completed same day or 2-3 days later for ≥80% of days enrolled). There were three-fold higher odds of good adherence for participants >34 years versus those 25-29 (AOR 3.14 95%CI 1.10-8.98) and two-fold higher odds for women with tertiary versus secondary education (AOR 2.26, 95% CI 1.06-4.83). Of 161 women who ever made a diary entry, a total of 5454 individual symptom reports were made (median 17 per woman, max 278). Nine (5.3%) women reported symptom combinations triggering a “potential arbovirus episode” (none had an adverse pregnancy outcome) and 55 (32.9%) women reported painful uterine contractions, or vaginal bleeding, mainly in the month before delivery. The exit survey showed that 52% (71/137) of women rated the App as an excellent experience and were less likely to be poor diary adherers (p=.04); 138/139 women reported that the App was easy to understand and to use. Conclusions: In the era of telemedicine and mHealth, adherence to the ZIKApp in pregnancy was high. The pilot has demonstrated the feasibility and usability of the App in an arbovirus-endemic region, supporting its future development to contribute to surveillance and diagnosis of arboviral infections in pregnancy and promise for implementation by direct treatment and care teams to optimise maternal care.

Type: Article
Title: The ZIKApp for detection of potential arbovirus infections and pregnancy complications in pregnant women in Jamaica: a pilot study
Open access status: An open access version is available from UCL Discovery
DOI: 10.2196/34423
Publisher version: https://doi.org/10.2196/34423
Language: English
Additional information: ©Elisa Ruiz-Burga, Patricia Bruijning-Verhagen, Paulette Palmer, Annalisa Sandcroft, Georgina Fernandes, Marieke de Hoog, Lenroy Bryan, Russell Pierre, Heather Bailey, Carlo Giaquinto, Claire Thorne, Celia D C Christie, ZIKAction Consortium. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.07.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
Keywords: mHealth; digital health; arbovirus; pregnancy; adherence; compliance; low- and middle-income countries; LMIC; maternal health; pregnancy complications; prenatal care; pregnancy outcomes; mobile phone
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10144909
Downloads since deposit
1,140Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item