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. |
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| 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.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 177316220 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu%2C+Jin%22">Yu, Jin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Oyoung%22">Kim, Oyoung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kang%2C+Byung+Soo%22">Kang, Byung Soo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Seon+Ui%22">Lee, Seon Ui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Youn+Ju%22">Lee, Youn Ju</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hwang%2C+Han+Sung%22">Hwang, Han Sung</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Seung+Mi%22">Lee, Seung Mi</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Seung+Chul%22">Kim, Seung Chul</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Choi%2C+Yoon-Hee%22">Choi, Yoon-Hee</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ko%2C+Hyun+Sun%22">Ko, Hyun Sun</searchLink><relatesTo>1</relatesTo><i> mongkoko@catholic.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 5/16/2024, p1-11. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Food+habits%22">Food habits</searchLink><br />*<searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Health+literacy%22">Health literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Body+mass+index%22">Body mass index</searchLink><br /><searchLink fieldCode="DE" term="%22Obstetricians%22">Obstetricians</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Gestational+diabetes%22">Gestational diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+health%22">Digital health</searchLink><br /><searchLink fieldCode="DE" term="%22Puerperium%22">Puerperium</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnant+women%22">Pregnant women</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Prenatal+care%22">Prenatal care</searchLink><br /><searchLink fieldCode="DE" term="%22Professions%22">Professions</searchLink><br /><searchLink fieldCode="DE" term="%22Attitudes+of+medical+personnel%22">Attitudes of medical personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Internal+medicine%22">Internal medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+needs+assessment%22">Medical needs assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Physicians%22">Physicians</searchLink><br /><searchLink fieldCode="DE" term="%22Patients'+attitudes%22">Patients' attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Childbirth%22">Childbirth</searchLink> – Name: Abstract Label: Abstract Group: Ab 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'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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00469580241252569 Languages: – Code: eng Text: English PhysicalDescription: 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 Type: general – SubjectFull: Fisher exact test Type: general – 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 Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Physicians Type: general – SubjectFull: Patients' attitudes Type: general – SubjectFull: Childbirth Type: general Titles: – TitleFull: Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu, Jin – PersonEntity: Name: NameFull: Kim, Oyoung – PersonEntity: Name: NameFull: Kang, Byung Soo – PersonEntity: Name: NameFull: Lee, Seon Ui – PersonEntity: Name: NameFull: Lee, Youn Ju – PersonEntity: Name: NameFull: Hwang, Han Sung – PersonEntity: Name: NameFull: Lee, Seung Mi – PersonEntity: Name: NameFull: Kim, Seung Chul – PersonEntity: Name: NameFull: Choi, Yoon-Hee – PersonEntity: Name: NameFull: Ko, Hyun Sun IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 05 Text: 5/16/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00469580 Titles: – TitleFull: Inquiry (00469580) Type: main |
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