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. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42022384620; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=384620 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/45178
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
Purpose: This study aims to clarify the definition, attributes, antecedents, and consequences of the concept of people-centered care (PCC). Method: Rogers and Knafl's evolutionary method was used to analyze the concept of People-centered care. The cords such as "Attributes," "Antecedent," and "Consequences" were extracted on the coding sheet. The extracted contents of each of the "Attributes," "Antecedent," and "Consequences" from the created coding sheets were summarized as codes, and similar codes were categorized. Result: We included 33 studies in the analysis. As a result of the analysis, we identified four attributes (the subject is people, approaches to improving and enhancing health issues, relationships as a basis for partnership building, and behavioral attitudes for building partnerships), four antecedents (changes in social conditions, increasing people's ownership of their health, health issues in modern society, and care in a variety of settings), and three consequences (achieving goals set by the people themselves, self-transformations of both people and healthcare providers, and social transformations). Discussion: Based on the analysis results, PCC was defined as "an initiative in which people step forward and partner with health care providers to improve and enhance health issues in individuals and communities." In various social and individual changes, the realization of PCC is expected to result in the achievement of goals set by the people themselves together with health care providers and the transformation of individuals and society.
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