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Lessons from digital technology-enabled health interventions implemented during the coronavirus pandemic to improve maternal and birth outcomes: a global scoping review.
Moise, Imelda K; Ivanova, Nicole; Wilson, Cyril; Wilson, Sigmond; Halwindi, Hikabasa; Spika, Vera M.
  • Moise IK; Department of Geography & Sustainable Development, College of Arts and Sciences, University of Miami, 1300 Campo Sano Ave, Coral Gables, FL, 33124, USA. moise@miami.edu.
  • Ivanova N; Global Health Studies Program, College of Arts and Sciences, University of Miami, 1252 Memorial Drive, Coral Gables, FL, 33146, USA.
  • Wilson C; Department of Geography & Anthropology, University of Wisconsin-Eau Claire, Eau Claire, WI, 54702-4004, USA.
  • Wilson S; Department of History & Political Science, Rogers State University, 1701 W. Will Rogers Blvd, Claremore, OK, 74017, USA.
  • Halwindi H; Department of Community and Family Medicine, School of Public Health, University of Zambia, P.O Box 50110, Lusaka, Zambia.
  • Spika VM; University of Miami, 1300 Memorial Drive, Coral Gables, FL, 33124, USA.
BMC Pregnancy Childbirth ; 23(1): 195, 2023 Mar 20.
Article in English | MEDLINE | ID: covidwho-2272605
ABSTRACT

BACKGROUND:

Timely access to essential obstetric and gynecologic healthcare is an effective method for improving maternal and neonatal outcomes; however, the COVID-19 pandemic impacted pregnancy care globally. In this global scoping review, we select and investigate peer-reviewed empirical studies related to mHealth and telehealth implemented during the pandemic to support pregnancy care and to improve birth outcomes.

METHODS:

We searched MEDLINE and PubMed, Scopus, CINAHL and Web of Science for this Review because they include peer-reviewed literature in the disciplines of behavioral sciences, medicine, clinical sciences, health-care systems, and psychology. Because our investigative searches reviewed that there is considerable 'grey literature' in this area; we did not restrict our review to any study design, methods, or place of publication. In this Review, peer-reviewed preprints were comparable to published peer-reviewed articles, with relevant articles screened accordingly.

RESULTS:

The search identified 1851 peer reviewed articles, and after removal of duplicates, using inclusion and exclusion criteria, only 22 studies were eligible for inclusion in the review published from January 2020 to May 2022. mHealth interventions accounted for 72.7% (16 of 22 studies) and only 27.3% (6 of 22 studies) were telehealth studies. There were only 3 example studies that integrated digital technologies into healthcare systems and only 3 studies that developed and evaluated the feasibility of mobile apps. Experimental studies accounted 68.8% of mHealth studies and only 33.3% studies of telehealth studies. Key functionalities of the pregnancy apps and telehealth platforms focused on mental and physical wellness, health promotion, patient trackinghealth education, and parenting support. Implemented interventions ranged from breastfeeding and selfcare to behavioral health. Facilitators of uptake included perceived benefits, user satisfaction and convenience. Mobile apps and short messaging services were the primary technologies employed in the implemented mHealth interventions.

CONCLUSION:

Although our Review emphasizes a lack of studies on mHealth interventions and data from pregnant women during the COVID-19 crisis, the review shows that implementation of digital health interventions during emergencies are inevitable given their potential for supporting pregnancy care. There is also a need for more randomized clinical trials and longitudinal studies to better understand the effectiveness and feasibility of implementing such interventions during disease outbreaks and emergencies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: BMC Pregnancy Childbirth Journal subject: Obstetrics Year: 2023 Document Type: Article Affiliation country: S12884-023-05454-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: BMC Pregnancy Childbirth Journal subject: Obstetrics Year: 2023 Document Type: Article Affiliation country: S12884-023-05454-3