Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.

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Title: Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.
Authors: Yu, Jin1, Kim, Oyoung1, Kang, Byung Soo1, Lee, Seon Ui1, Lee, Youn Ju2, Hwang, Han Sung3, Lee, Seung Mi4, Kim, Seung Chul5, Choi, Yoon-Hee1,2, Ko, Hyun Sun1 mongkoko@catholic.ac.kr
Source: Inquiry (00469580). 5/16/2024, p1-11. 11p.
Subject Terms: *Food habits, *Comparative studies, Cross-sectional method, Lifestyles, Health literacy, Health attitudes, Body mass index, Obstetricians, Research funding, Gestational diabetes, Digital health, Puerperium, Questionnaires, Fisher exact test, Pregnant women, Descriptive statistics, Chi-squared test, Prenatal care, Professions, Attitudes of medical personnel, Internal medicine, Medical needs assessment, Data analysis software, Physicians, Patients' attitudes, Childbirth
Abstract: This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P <.0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P =.0141 and.0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups. [ABSTRACT FROM AUTHOR]
Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.
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– Name: Abstract
  Label: Abstract
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  Data: This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women&#39;s knowledge of GDM and gathered information about healthcare professionals&#39; (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher&#39;s exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P &lt;.0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P =.0141 and.0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: &lt;i&gt;Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1177/00469580241252569
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Food habits
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Lifestyles
        Type: general
      – SubjectFull: Health literacy
        Type: general
      – SubjectFull: Health attitudes
        Type: general
      – SubjectFull: Body mass index
        Type: general
      – SubjectFull: Obstetricians
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Gestational diabetes
        Type: general
      – SubjectFull: Digital health
        Type: general
      – SubjectFull: Puerperium
        Type: general
      – SubjectFull: Questionnaires
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      – SubjectFull: Fisher exact test
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      – SubjectFull: Pregnant women
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Prenatal care
        Type: general
      – SubjectFull: Professions
        Type: general
      – SubjectFull: Attitudes of medical personnel
        Type: general
      – SubjectFull: Internal medicine
        Type: general
      – SubjectFull: Medical needs assessment
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      – SubjectFull: Data analysis software
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      – SubjectFull: Physicians
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      – SubjectFull: Patients' attitudes
        Type: general
      – SubjectFull: Childbirth
        Type: general
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      – TitleFull: Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.
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              Text: 5/16/2024
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