Detection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study

dc.creatorRuiz-Burga, Elisa
dc.creatorBruijning-Verhagen, Patricia
dc.creatorPalmer, Paulette
dc.creatorSandcroft, Annalisa
dc.creatorFernandes, Georgina
dc.creatorHoog, Marieke de
dc.creatorBryan, Lenroy
dc.creatorPierre, Russell
dc.creatorBailey, Heather
dc.creatorGiaquinto, Carlo
dc.creatorThorne, Claire
dc.creatorChristie, Celia D. C.
dc.creatorZIKAction Consortium
dc.date2022-11-17T19:07:09Z
dc.date2022-11-17T19:07:09Z
dc.date2022
dc.date.accessioned2023-09-26T20:30:31Z
dc.date.available2023-09-26T20:30:31Z
dc.identifierRUIZ-BURGA, Elisa et al. Detection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study. JMIR formative research, v. 6, n. 7, p. 1-16, 2022.
dc.identifier2561-326X
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/55689
dc.identifier10.2196/34423
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8858436
dc.descriptionPatricia Brasil - Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.
dc.descriptionBackground: There is growing evidence of the benefits of mobile health technology, which include symptom tracking apps for research, surveillance, and prevention. No study has yet addressed arbovirus symptom tracking in pregnancy. Objective: This study aimed to evaluate the use of a smartphone app (ZIKApp) to self-report arbovirus symptoms and pregnancy complications and to assess compliance with daily symptom diaries during pregnancy in a cohort of women in an arbovirus-endemic, subtropical, middle-income country (Jamaica). Methods: Pregnant women aged ≥16 years, having a smartphone, and planning on giving birth at the recruiting center were enrolled between February 2020 and July 2020. ZIKApp comprised a daily symptom diary based on algorithms to identify potential episodes of arbovirus infection and pregnancy complications. Sociodemographic, epidemiological, and obstetric information was collected at enrollment, with additional review of medical records, and users' perception was collected through an exit survey. Descriptive analyses and logistic regression analysis of possible factors associated with diary adherence were performed. Results: Of the 173 women enrolled, 157 (90.8%) used ZIKApp for a median duration of 155 (IQR 127-173) days until pregnancy end, 6 (3.5%) used the app for <7 days, and 10 (5.8%) exited the study early. For each successive 30-day period from enrollment up to 150 days after enrollment, of these 157 women, 121 (77.1%) to 129 (82.2%) completed their daily symptom diary; 50 (31.8%) to 56 (35.7%) did so on the same day. Overall, 31.8% (50/157) of the women had good adherence to diary reporting (ie, they completed the task on the same day or 2 to 3 days later for ≥80% of the days enrolled). There were 3-fold higher odds of good adherence for participants aged >34 years versus those aged 25 to 29 years (adjusted odds ratio 3.14, 95% CI 1.10-8.98) and 2-fold higher odds for women with tertiary versus secondary education (adjusted odds ratio 2.26, 95% CI 1.06-4.83). Of the 161 women who ever made a diary entry, 5454 individual symptom reports were made (median 17 per woman; IQR 4-42; range 0-278); 9 (5.6%) women reported symptom combinations triggering a potential arbovirus episode (none had an adverse pregnancy outcome) and 55 (34.2%) reported painful uterine contractions or vaginal bleeding, mainly in the month before delivery. Overall, 51.8% (71/137) of the women rated the app as an excellent experience and were less likely to be poor diary adherers (P=.04) and 99.3% (138/139) reported that the app was easy to understand and use. Conclusions: This pilot found a high adherence to ZIKApp. It demonstrated the feasibility and usability of the app in an arbovirus-endemic region, supporting its future development to contribute to surveillance and diagnosis of arbovirus infections in pregnancy and to optimize maternal care.
dc.formatapplication/pdf
dc.languageeng
dc.publisherJMIR Publications
dc.rightsopen access
dc.subjectLMIC
dc.subjectAdherence
dc.subjectArbovirus
dc.subjectCompliance
dc.subjectDigital health
dc.subjectLow- and middle-income countries
dc.subjectmHealth
dc.subjectMaternal health
dc.subjectMobile phone
dc.subjectPregnancy
dc.subjectPregnancy complications
dc.subjectPregnancy outcomes
dc.subjectPrenatal care
dc.titleDetection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study
dc.typeArticle


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