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Effectiveness of the Internet of Things for Improving Working-Aged Women's Health in High-Income Countries: Protocol for a Systematic Review and Network Meta-analysis.
Yamaji, Noyuri; Nitamizu, Aya; Nishimura, Etsuko; Suzuki, Daichi; Sasayama, Kiriko; Rahman, Md Obaidur; Saito, Eiko; Yoneoka, Daisuke; Ota, Erika.
Affiliation
  • Yamaji N; Global Health Nursing, Graduate School of Nursing, St. Luke's International University, Tokyo, Japan.
  • Nitamizu A; Global Health Nursing, Graduate School of Nursing, St. Luke's International University, Tokyo, Japan.
  • Nishimura E; Global Health Nursing, Graduate School of Nursing, St. Luke's International University, Tokyo, Japan.
  • Suzuki D; Department of Nursing, Faculty of Health and Medical Sciences, Kanagawa Institute of Technology, Kanagawa, Japan.
  • Sasayama K; Global Health Nursing, International University of Health and Welfare, Chiba, Japan.
  • Rahman MO; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
  • Saito E; Center for Evidence-Based Medicine and Clinical Research, Dhaka, Bangladesh.
  • Yoneoka D; Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan.
  • Ota E; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
JMIR Res Protoc ; 12: e45178, 2023 Apr 04.
Article in En | MEDLINE | ID: mdl-37014674
ABSTRACT

BACKGROUND:

Women often experience many unique health issues and conditions throughout their working lives. The Internet of Things (IoT) is a system of interrelated digital devices that can enable data exchanges over a network without human-to-human or human-to-computer interaction. The usage of applications and IoT in improving women's health has recently increased worldwide. However, there has been no consensus on the effectiveness of IoT in improving women's health outcomes.

OBJECTIVE:

This systematic review and network meta-analysis (NMA) aims to assess and synthesize the role of apps and the IoT in improving women's health and to identify the ranking of interventions for ensuring better results for each stated outcome.

METHODS:

Our systematic review and NMA will be conducted in accordance with the guidelines of the Cochrane Handbook. We will comprehensively search the following electronic databases PubMed (including MEDLINE), Cochrane Central Register of Controlled Trials, Embase, Cumulative Index to Nursing and Allied Health Literature (ie, CINAHL), PsycINFO, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry, along with other resources to identify relevant randomized controlled trials that have assessed the effects of various apps and the IoT with regard to improving working-aged women's health in high-income countries. We will segment and analyze the results of the included studies based on age categories (women undergoing a preconception period, those undergoing gestational and postpartum periods, and menopausal and pre- and postmenopausal women) and the medical history (women who have a specific medical condition-eg, cancer or diabetes-and women who do not have them) separately. Two independent reviewers will perform the study selection, data extraction, and quality assessment. Our primary outcomes include health status, well-being, and quality of life. We will perform pairwise meta-analysis and NMA to estimate the direct, indirect, and relative effects of apps and the IoT on women's health outcomes. We will also assess the hierarchy of interventions, statistical inconsistencies, and certainties of evidence for each outcome.

RESULTS:

We plan to conduct the search in January 2023 and are currently discussing search strategies with the literature search specialists. The final report is planned for submission to a peer-reviewed journal in September 2023.

CONCLUSIONS:

To the best of our knowledge, this review will be the first to identify the ranking of IoT intervention for ensuring working-aged women's health outcomes. These findings may be of great use to researchers, policy makers, and others with an interest in the field. TRIAL REGISTRATION International Prospective Register of Systematic Reviews (PROSPERO) CRD42022384620; https//www.crd.york.ac.uk/prospero/display_record.php?RecordID=384620. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/45178.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Guideline / Prognostic_studies / Systematic_reviews Aspects: Patient_preference Language: En Journal: JMIR Res Protoc Year: 2023 Document type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Guideline / Prognostic_studies / Systematic_reviews Aspects: Patient_preference Language: En Journal: JMIR Res Protoc Year: 2023 Document type: Article Affiliation country: Japan