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McGovern L, O'Toole L, Houshialsadat Z, O'Reilly SL. Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis. Obes Rev 2024; 25:e13761. [PMID: 38733067 DOI: 10.1111/obr.13761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 05/13/2024]
Abstract
mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.
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Affiliation(s)
- Liz McGovern
- School of Agriculture and Food Science, University College Dublin, Belfield, Ireland
| | - Laura O'Toole
- School of Agriculture and Food Science, University College Dublin, Belfield, Ireland
- School of Nursing, Midwifery and Health Systems, University College Dublin, Belfield, Dublin, Ireland
| | - Zeinab Houshialsadat
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Ireland
- Ecole Hautes Etudes en Santé Publique, Paris, France
| | - Sharleen L O'Reilly
- School of Agriculture and Food Science, University College Dublin, Belfield, Ireland
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Davis D, Kurz E, Hooper ME, Atchan M, Spiller S, Blackburn J, Bushell M, Lewis V, Leung M, Samarawickrema I, Knight-Agarwal C. The holistic maternity care needs of women with Gestational Diabetes Mellitus: A systematic review with thematic synthesis. Women Birth 2024; 37:166-176. [PMID: 37684120 DOI: 10.1016/j.wombi.2023.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023]
Abstract
PROBLEM Models of care for women with gestational diabetes mellitus (GDM) have evolved in an ad hoc way and do not meet women's needs. BACKGROUND GDM affects 50,000 Australian women per annum with prevalence quadrupling in the last ten years. Many health services are struggling to provide a quality service. People with diabetes are calling for care that focuses on their wellbeing more broadly. AIM To examine the holistic (emotional, social, economic, and spiritual) care needs of women with GDM. METHODS Qualitative and mixed-methods studies capturing the healthcare experiences of women with GDM were searched for in CINAHL, Medline, Web of Science and Scopus. English-language studies published between 2011 and 2023 were included. Quality of studies was assessed using Crowe Critical Appraisal Tool and NVIVO was used to identify key themes and synthesise data. FINDINGS Twenty-eight studies were included, representing the experiences of 958 women. Five themes reflect women's holistic needs through their journey from initial diagnosis to postpartum: psychological impact, information and education, making change for better health, support, and care transition. DISCUSSION The biomedical, fetal-centric model of care neglects the woman's holistic wellbeing resulting in high levels of unmet need. Discontinuity between tertiary and primary services results in a missed opportunity to assist women to make longer term changes that would benefit themselves (and their families) into the future. CONCLUSIONS The provision of holistic models of care for this cohort is pivotal to improving clinical outcomes and the experiences of women with GDM.
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Affiliation(s)
- Deborah Davis
- University of Canberra, Faculty of Health, Australia; ACT Government, Health Directorate, Australia.
| | - Ella Kurz
- University of Canberra, Faculty of Health, Australia
| | | | | | | | | | - Mary Bushell
- University of Canberra, Faculty of Health, Australia
| | | | - Myra Leung
- University of Canberra, Faculty of Health, Australia
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Shanmugavel A, Shakya PR, Shrestha A, Nepal J, Shrestha A, Daneault JF, Rawal S. Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study. JMIR Form Res 2024; 8:e50823. [PMID: 38231562 PMCID: PMC10831589 DOI: 10.2196/50823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Mobile apps can aid with the management of gestational diabetes mellitus (GDM) by providing patient education, reinforcing regular blood glucose monitoring and diet/lifestyle modification, and facilitating clinical and social support. OBJECTIVE This study aimed to describe our process of designing and developing a culturally tailored app, Garbhakalin Diabetes athawa Madhumeha-Dhulikhel Hospital (GDM-DH), to support GDM management among Nepalese patients by applying a user-centered design approach. METHODS A multidisciplinary team of experts, as well as health care providers and patients in Dhulikhel Hospital (Dhulikhel, Nepal), contributed to the development of the GDM-DH app. After finalizing the app's content and features, we created the app's wireframe, which illustrated the app's proposed interface, navigation sequences, and features and function. Feedback was solicited on the wireframe via key informant interviews with health care providers (n=5) and a focus group and in-depth interviews with patients with GDM (n=12). Incorporating their input, we built a minimum viable product, which was then user-tested with 18 patients with GDM and further refined to obtain the final version of the GDM-DH app. RESULTS Participants in the focus group and interviews unanimously concurred on the utility and relevance of the proposed mobile app for patients with GDM, offering additional insight into essential modifications and additions to the app's features and content (eg, inclusion of example meal plans and exercise videos).The mean age of patients in the usability testing (n=18) was 28.8 (SD 3.3) years, with a mean gestational age of 27.2 (SD 3.0) weeks. The mean usability score across the 10 tasks was 3.50 (SD 0.55; maximum score=5 for "very easy"); task completion rates ranged from 55.6% (n=10) to 94.4% (n=17). Findings from the usability testing were reviewed to further optimize the GDM-DH app (eg, improving data visualization). Consistent with social cognitive theory, the final version of the GDM-DH app supports GDM self-management by providing health education and allowing patients to record and self-monitor blood glucose, blood pressure, carbohydrate intake, physical activity, and gestational weight gain. The app uses innovative features to minimize the self-monitoring burden, as well as automatic feedback and data visualization. The app also includes a social network "follow" feature to add friends and family and give them permission to view logged data and a progress summary. Health care providers can use the web-based admin portal of the GDM-DH app to enter/review glucose levels and other clinical measures, track patient progress, and guide treatment and counseling accordingly. CONCLUSIONS To the best of our knowledge, this is the first mobile health platform for GDM developed for a low-income country and the first one containing a social support feature. A pilot clinical trial is currently underway to explore the clinical utility of the GDM-DH app.
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Affiliation(s)
- Aarthi Shanmugavel
- Department of Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Piscataway, NJ, United States
| | - Prabin Raj Shakya
- Biomedical Knowledge Engineering Lab, Department of Dentistry, Seoul National University, Seoul, Democratic People's Republic of Korea
| | - Archana Shrestha
- Institute for Implementation Science and Health, Kathmandu, Nepal
- Department of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
- Department of Chronic Disease and Epidemiology, Center of Methods for Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, United States
| | - Jyoti Nepal
- Department of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Abha Shrestha
- Department of Obstetrics and Gynecology, Dhulikhel Hospital, Dhulikhel, Nepal
| | - Jean-Francois Daneault
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, Newark, NJ, United States
| | - Shristi Rawal
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
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Safiee L, Rough D, George P, Mudenha R. Baseline Perceptions of Women With Gestational Diabetes Mellitus and Health Care Professionals About Digital Gestational Diabetes Mellitus Self-Management Health Care Technologies: Interview Study Among Patients and Health Care Professionals. JMIR Hum Factors 2023; 10:e51691. [PMID: 38113070 PMCID: PMC10762626 DOI: 10.2196/51691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/14/2023] [Accepted: 11/18/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a significant medical complication of pregnancy that requires close monitoring by a multidisciplinary health care team. The growing sophistication of mobile health (mHealth) technology could play a significant supporting role for women with GDM and health professionals (HPs) regarding GDM management. OBJECTIVE This study included 2 phases. The aim of phase 1 was to explore the perceptions of HPs and women with GDM regarding the use of mHealth for GDM self-management and to identify their needs from these technologies. The aim of phase 2 was to explore the perceptions of women with GDM about their experiences with a state-of-the-art app for managing GDM that was offered to them during the COVID-19 lockdown. This phase aimed to understand the impact that COVID-19 has had on women's perceptions about using technology to manage their GDM. By combining both phases, the overall aim was to establish how perceptions about GDM self-management technology have changed owing to the pandemic restrictions and experience of using such technology. METHODS In total, 26 semistructured interviews were conducted in 2 phases. In phase 1, overall, 62% (16/26) of the participants, including 44% (7/16) of HPs, 50% (8/16) of women with GDM, and 6% (1/16) of women in the postpartum period with GDM history participated in the interviews. In phase 2, overall, 38% (10/26) of women with GDM participated in the interviews. NVivo (QSR International) was used to extract qualitative data, which were subjected to thematic analysis. RESULTS Phase 1 identified 3 themes from the interviews with women with GDM: fitting with women's lifestyle constraints, technology's design not meeting women's needs, and optimizing the technology's design to meet women's needs. Overall, 3 themes were derived from the interviews with HPs: optimizing the technology's design to improve the quality of care, technology to support women's independence, and limitations in the care system and facilities. Analysis of phase-2 interviews identified 2 further themes: enhancing the information and functionalities and optimizing the interface design. In both phases, participants emphasized a simple and user-friendly interface design as the predominant positive influence on their use of technology for GDM management. CONCLUSIONS The combined findings underlined similar points. Poor usability, data visualization limitations, lack of personalization, limited information, and lack of communication facilities were the prime issues of current GDM self-management mHealth technology that need to be addressed. The analysis also revealed how women with GDM should play a vital role in gathering the requirements for GDM self-management technology; some needs were identified from in-depth discussion with women with GDM that would be missed without their involvement.
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Affiliation(s)
- Ladan Safiee
- School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Daniel Rough
- School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Priya George
- Ninewells Hospital, NHS Tayside, Dundee, United Kingdom
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Wei HX, Yang YL, Luo TY, Chen WQ. Effectiveness of mobile health interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis. J OBSTET GYNAECOL 2023; 43:2245906. [PMID: 37605977 DOI: 10.1080/01443615.2023.2245906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 08/01/2023] [Indexed: 08/23/2023]
Abstract
Gestational diabetes mellitus is a growing global health problem. Inadequate management during pregnancy can lead to maternal and foetal complications. Currently, mobile health (mHealth) delivers healthcare services, playing an increasingly important role in the management of blood glucose in GDM. This study aimed to systematically evaluate the effectiveness of mHealth intervention in pregnant women with GDM. Based on randomised controlled trials of mHealth application in GDM patients searched from the database, literature screening, data extraction, and quality evaluation were conducted independently by two researchers. Statistical analysis was performed using Review Manager 5.4 software. The review included 27 studies with a total of 3483 patients. The results showed a significant improvement in glycemic control. In addition, mHealth interventions could reduce the occurrence of adverse pregnancy outcomes and improve self-management ability. In a subgroup analysis, recording of delivery mode and WeChat combined phone call indicated significant differences with mHealth interventions. It was suggested that mHealth interventions imposed a positive effect on glycemic control and reduction of adverse pregnancy outcomes in GDM patients. Our results demonstrated that the application of mHealth interventions can act as an effective and feasible approach to self-management to promote the self-management level and awareness of GDM patients.
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Affiliation(s)
- Hui Xin Wei
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yi Ling Yang
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ting Yu Luo
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
| | - Wei Qiang Chen
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
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Er YT, Chan YM, Mohd Shariff Z, Abdul Hamid H, Mat Daud Z'A, Yong HY. Dietitian-led cluster randomised controlled trial on the effectiveness of mHealth education on health outcomes among pregnant women: a protocol paper. BMJ Open 2023; 13:e075937. [PMID: 37989361 PMCID: PMC10660825 DOI: 10.1136/bmjopen-2023-075937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/13/2023] [Indexed: 11/23/2023] Open
Abstract
INTRODUCTION Nutrition education is the cornerstone to maintain optimal pregnancy outcomes including gestational weight gain (GWG). Nevertheless, default for appointments is common and often lead to suboptimal achievement of GWG, accompanied with unfavourable maternal and child health outcomes. While mobile health (mHealth) usage is increasing and helps minimising barriers to clinic appointments among pregnant mothers, its effectiveness on health outcomes has been inconclusive. Therefore, this study aimed to address the gap between current knowledge and clinical care, by exploring the effectiveness of mHealth on GWG as the primary outcome, hoping to serve as a fundamental work to achieve optimal health outcomes with the improvement of secondary outcomes such as physical activity, psychosocial well-being, dietary intake, quality of life and sleep quality among pregnant mothers. METHODS AND ANALYSIS A total of 294 eligible participants will be recruited and allocated into 3 groups comprising of mHealth intervention alone, mHealth intervention integrated with personal medical nutrition therapy and a control group. Pretested structured questionnaires are used to obtain the respondents' personal information, anthropometry data, prenatal knowledge, physical activity, psychosocial well-being, dietary intake, quality of life, sleep quality and GWG. There will be at least three time points of data collection, with all participants recruited during their first or second trimester will be followed up prospectively (after 3 months or/and after 6 months) until delivery. Generalised linear mixed models will be used to compare the mean changes of outcome measures over the entire study period between the three groups. ETHICS AND DISSEMINATION Ethical approvals were obtained from the ethics committee of human subjects research of Universiti Putra Malaysia (JKEUPM-2022-072) and medical research & ethics committee, Ministry of Health Malaysia: NMRR ID-22-00622-EPU(IIR). The results will be disseminated through journals and conferences targeting stakeholders involved in nutrition research. TRIAL REGISTRATION NUMBER Clinicaltrial.gov ID: NCT05377151.
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Affiliation(s)
- Ying Ting Er
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Yoke Mun Chan
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
- Research Centre of Excellence Nutrition and Non-communicable Diseases, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Zalilah Mohd Shariff
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Habibah Abdul Hamid
- Department of Obstetrics & Gynaecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Zulfitri 'Azuan Mat Daud
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
- Research Centre of Excellence Nutrition and Non-communicable Diseases, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Heng Yaw Yong
- Division of Nutrition and Dietetics, School of Health Sciences, International Medical University, Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan, Malaysia
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Kytö M, Koivusalo S, Tuomonen H, Strömberg L, Ruonala A, Marttinen P, Heinonen S, Jacucci G. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors. JMIR Diabetes 2023; 8:e43979. [PMID: 37906216 PMCID: PMC10646680 DOI: 10.2196/43979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 06/16/2023] [Accepted: 09/14/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is an increasing health risk for pregnant women as well as their children. Telehealth interventions targeted at the management of GDM have been shown to be effective, but they still require health care professionals for providing guidance and feedback. Feedback from wearable sensors has been suggested to support the self-management of GDM, but it is unknown how self-tracking should be designed in clinical care. OBJECTIVE This study aimed to investigate how to support the self-management of GDM with self-tracking of continuous blood glucose and lifestyle factors without help from health care personnel. We examined comprehensive self-tracking from self-discovery (ie, learning associations between glucose levels and lifestyle) and user experience perspectives. METHODS We conducted a mixed methods study where women with GDM (N=10) used a continuous glucose monitor (CGM; Medtronic Guardian) and 3 physical activity sensors: activity bracelet (Garmin Vivosmart 3), hip-worn sensor (UKK Exsed), and electrocardiography sensor (Firstbeat 2) for a week. We collected data from the sensors, and after use, participants took part in semistructured interviews about the wearable sensors. Acceptability of the wearable sensors was evaluated with the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Moreover, maternal nutrition data were collected with a 3-day food diary, and self-reported physical activity data were collected with a logbook. RESULTS We found that the CGM was the most useful sensor for the self-discovery process, especially when learning associations between glucose and nutrition intake. We identified new challenges for using data from the CGM and physical activity sensors in supporting self-discovery in GDM. These challenges included (1) dispersion of glucose and physical activity data in separate applications, (2) absence of important trackable features like amount of light physical activity and physical activities other than walking, (3) discrepancy in the data between different wearable physical activity sensors and between CGMs and capillary glucose meters, and (4) discrepancy in perceived and measured quantification of physical activity. We found the body placement of sensors to be a key factor in measurement quality and preference, and ultimately a challenge for collecting data. For example, a wrist-worn sensor was used for longer compared with a hip-worn sensor. In general, there was a high acceptance for wearable sensors. CONCLUSIONS A mobile app that combines glucose, nutrition, and physical activity data in a single view is needed to support self-discovery. The design should support tracking features that are important for women with GDM (such as light physical activity), and data for each feature should originate from a single sensor to avoid discrepancy and redundancy. Future work with a larger sample should involve evaluation of the effects of such a mobile app on clinical outcomes. TRIAL REGISTRATION Clinicaltrials.gov NCT03941652; https://clinicaltrials.gov/study/NCT03941652.
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Affiliation(s)
- Mikko Kytö
- Helsinki University Hospital IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Saila Koivusalo
- Department of Gynecology and Obstetrics, Turku University Hospital, Turku, Finland
- Department of Gynecology and Obstetrics, University of Turku, Turku, Finland
- Department of Gynecology and Obstetrics, Helsinki University Hospital, Helsinki, Finland
- Department of Gynecology and Obstetrics, University of Helsinki, Helsinki, Finland
| | - Heli Tuomonen
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Lisbeth Strömberg
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Antti Ruonala
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Pekka Marttinen
- Department of Computer Science, Aalto University, Espoo, Finland
| | - Seppo Heinonen
- Department of Gynecology and Obstetrics, Helsinki University Hospital, Helsinki, Finland
- Department of Gynecology and Obstetrics, University of Helsinki, Helsinki, Finland
| | - Giulio Jacucci
- Department of Computer Science, University of Helsinki, Helsinki, Finland
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Yeh PT, Kennedy CE, Rhee DK, Zera C, Tunçalp Ö, Lucido B, Gomez Ponce de Leon R, Narasimhan M. Self-monitoring of blood glucose levels among pregnant individuals with gestational diabetes: a systematic review and meta-analysis. Front Glob Womens Health 2023; 4:1006041. [PMID: 37293246 PMCID: PMC10244567 DOI: 10.3389/fgwh.2023.1006041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 04/25/2023] [Indexed: 06/10/2023] Open
Abstract
Introduction The World Health Organization (WHO) recommends treatment and management of gestational diabetes (GD) through lifestyle changes, including diet and exercise, and self-monitoring blood glucose (SMBG) to inform timely treatment decisions. To expand the evidence base of WHO's guideline on self-care interventions, we conducted a systematic review of SMBG among pregnant individuals with GD. Setting Following PRISMA guidelines, we searched PubMed, CINAHL, LILACS, and EMBASE for publications through November 2020 comparing SMBG with clinic-based monitoring during antenatal care (ANC) globally. Primary and secondary outcome measures We extracted data using standardized forms and summarized maternal and newborn findings using random effects meta-analysis in GRADE evidence tables. We also reviewed studies on values, preferences, and costs of SMBG. Results We identified 6 studies examining SMBG compared to routine ANC care, 5 studies on values and preferences, and 1 study on costs. Nearly all were conducted in Europe and North America. Moderate-certainty evidence from 3 randomized controlled trials (RCTs) showed that SMBG as part of a package of interventions for GD treatment was associated with lower rates of preeclampsia, lower mean birthweight, fewer infants born large for gestational age, fewer infants with macrosomia, and lower rates of shoulder dystocia. There was no difference between groups in self-efficacy, preterm birth, C-section, mental health, stillbirth, or respiratory distress. No studies measured placenta previa, long-term complications, device-related issues, or social harms. Most end-users supported SMBG, motivated by health benefits, convenience, ease of use, and increased confidence. Health workers acknowledged SMBG's convenience but were wary of technical problems. One study found SMBG by pregnant individuals with insulin-dependent diabetes was associated with decreased costs for hospital admission and length of stay. Conclusion SMBG during pregnancy is feasible and acceptable, and when combined in a package of GD interventions, is generally associated with improved maternal and neonatal health outcomes. However, research from resource-limited settings is needed. Systematic Review Registration PROSPERO CRD42021233862.
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Affiliation(s)
- Ping Teresa Yeh
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Caitlin Elizabeth Kennedy
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Dong Keun Rhee
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Chloe Zera
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Özge Tunçalp
- Department of Sexual and Reproductive Health and Research, World Health Organization, Includes the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction—HRP, Geneva, Switzerland
| | - Briana Lucido
- Department of Sexual and Reproductive Health and Research, World Health Organization, Includes the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction—HRP, Geneva, Switzerland
| | | | - Manjulaa Narasimhan
- Department of Sexual and Reproductive Health and Research, World Health Organization, Includes the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction—HRP, Geneva, Switzerland
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Lee KN, Kim HJ, Choe K, Cho A, Kim B, Seo J, Myung W, Park JY, Oh KJ. Effects of Fetal Images Produced in Virtual Reality on Maternal-Fetal Attachment: Randomized Controlled Trial. J Med Internet Res 2023; 25:e43634. [PMID: 36826976 PMCID: PMC10007014 DOI: 10.2196/43634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/07/2022] [Accepted: 01/19/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Maternal-fetal attachment (MFA) has been reported to be associated with the postpartum mother-infant relationship. Seeing the fetus through ultrasound might influence MFA, and the effect could be increased by more realistic images, such as those generated in virtual reality (VR). OBJECTIVE The aim was to determine the effect of fetal images generated in VR on MFA and depressive symptoms through a prenatal-coaching mobile app. METHODS This 2-arm parallel randomized controlled trial involved a total of 80 pregnant women. Eligible women were randomly assigned to either a mobile app-only group (n=40) or an app plus VR group (n=40). The VR group experienced their own baby's images generated in VR based on images obtained from fetal ultrasonography. The prenatal-coaching mobile app recommended health behavior for the pregnant women according to gestational age, provided feedback on entered data for maternal weight, blood pressure, and glucose levels, and included a private diary service for fetal ultrasound images. Both groups received the same app, but the VR group also viewed fetal images produced in VR; these images were stored in the app. All participants filled out questionnaires to assess MFA, depressive symptoms, and other basic medical information. The questionnaires were filled out again after the interventions. RESULTS Basic demographic data were comparable between the 2 groups. Most of the assessments showed comparable results for the 2 groups, but the mean score to assess interaction with the fetus was significantly higher for the VR group than the control group (0.4 vs 0.1, P=.004). The proportion of participants with an increased score for this category after the intervention was significantly higher in the VR group than the control group (43% vs 13%, P=.005). The feedback questionnaire revealed that scores for the degree of perception of fetal appearance all increased after the intervention in the VR group. CONCLUSIONS The use of a mobile app with fetal images in VR significantly increased maternal interaction with the fetus. TRIAL REGISTRATION ClinicalTrials.gov NCT04942197; https://clinicaltrials.gov/ct2/show/NCT04942197.
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Affiliation(s)
- Kyong-No Lee
- Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Hyeon Ji Kim
- Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Kiroong Choe
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
| | - Aeri Cho
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
| | - Bohyoung Kim
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Jinwook Seo
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jee Yoon Park
- Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Kyung Joon Oh
- Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
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Haron Z, Sutan R, Zakaria R, Abdullah Mahdy Z. Self-care educational guide for mothers with gestational diabetes mellitus: A systematic review on identifying self-care domains, approaches, and their effectiveness. BELITUNG NURSING JOURNAL 2023; 9:6-16. [PMID: 37469635 PMCID: PMC10353652 DOI: 10.33546/bnj.2396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/30/2022] [Accepted: 01/08/2023] [Indexed: 07/21/2023] Open
Abstract
Background Gestational Diabetes Mellitus (GDM) is a common form of poor carbohydrate intolerance, prevalent among pregnant women and associated with unhealthy lifestyle behaviors. Given the dearth of information on self-empowerment among mothers with GDM, a self-care health education package needs to be developed to prevent related complications. Objective This review aimed to identify self-care approaches, domains, and their effectiveness for a proper self-care educational guide package for women with GDM. Design A systematic review using electronic literature databases published between January 2016 and December 2022 was conducted. Data Sources Web of Science, Scopus, and Ovid databases were used. Review Methods This review utilized the PICO (Population, Intervention, Comparison, and Outcomes) framework to screen the retrieved articles for eligibility in which mothers with GDM, educational materials, standard practice or intervention, and effectiveness were considered the PICO, respectively. The CIPP (Context, Input, Process, Product) model served as a framework for adopting the education development model. Mixed methods appraisal tool was used for quality assessment. Data extraction and synthesis without meta-analysis were presented as evidence tables. Results A total of 19 articles on GDM were included in the final analysis (16 Intervention studies, two qualitative studies, and one mixed-methods study). Four broad domains emerged from the analysis: 1) information or knowledge of GDM, 2) monitoring of blood glucose levels, 3) practice of healthy lifestyles, and 4) other non-specific activities. The majority of the articles employed a face-to-face approach in executing the educational group sessions, and most studies disclosed their positive effects on GDM management. Other methods of evaluating intervention effectiveness were described as improved self-care behavior, increased satisfaction score, enhanced self-efficacy, good glucose control, and better pregnancy outcome. Conclusion Knowledge or information about GDM, healthy diet, and exercise or physical activity was found to be the most applied domains of intervention. Framework domains based on the present review can be used in the future development of any interventional program for GDM women in enhancing health information reaching the targeted group in promoting self-efficacy. PROSPERO registration number CRD42021229610.
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Affiliation(s)
- Zarina Haron
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
- Department of Nursing, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
| | - Rosnah Sutan
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Roshaya Zakaria
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Zaleha Abdullah Mahdy
- Department of Obstetrics & Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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Sushko K, Menezes HT, Wang QR, Nerenberg K, Fitzpatrick-Lewis D, Sherifali D. Patient-reported Benefits and Limitations of Mobile Health Technologies for Diabetes in Pregnancy: A Scoping Review. Can J Diabetes 2023; 47:102-113. [PMID: 36182614 DOI: 10.1016/j.jcjd.2022.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/28/2022] [Accepted: 08/02/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVES For women with pre-existing and gestational diabetes, pregnancy involves specialized and intensive medical care to optimize maternal and infant outcomes. Medical management for patients with diabetes in pregnancy typically occurs via frequent face-to-face outpatient appointments. COVID-19-induced barriers to face-to-face care have identified the need for high-quality, patient-centred virtual health-care modalities, such as mobile health (mHealth) technologies. Our aim in this review was to identify the patient-reported benefits and limitations of mHealth technologies among women with diabetes in pregnancy. We also aimed to determine how the women's experiences aligned with the best practice standards for patient-centred communication. METHODS The framework presented by Arksey and O'Malley for conducting scoping reviews, with refinements by Levac et al, was used to guide this review. Relevant studies were identified through comprehensive database searches of MEDLINE, Embase, Emcare and PsycINFO. Thomas and Harden's methods for the thematic synthesis of qualitative research in systematic reviews guided the synthesis of patient-reported benefits and limitations of mHealth technology. RESULTS Overall, 19 studies describing the use of 16 unique mHealth technologies among 742 women were included in the final review. Patient-reported benefits of mHealth included convenience, support of psychosocial well-being and facilitation of diabetes self-management. Patient-reported limitations included lack of important technological features, perceived burdensome aspects of mHealth and lack of trust in virtual health care. CONCLUSIONS Women with diabetes report some benefits from mHealth use during pregnancy. Codesigning future technologies with end users may help address the perceived limitations and effectiveness of mHealth technologies.
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Affiliation(s)
- Katelyn Sushko
- Faculty of Health Sciences, School of Nursing, McMaster University, Health Sciences Centre, Hamilton, Ontario, Canada.
| | - Holly Tschirhart Menezes
- Faculty of Health Sciences, School of Nursing, McMaster University, Health Sciences Centre, Hamilton, Ontario, Canada
| | - Qi Rui Wang
- Faculty of Health Sciences, School of Nursing, McMaster University, Health Sciences Centre, Hamilton, Ontario, Canada
| | - Kara Nerenberg
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Donna Fitzpatrick-Lewis
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Diana Sherifali
- Faculty of Health Sciences, School of Nursing, McMaster University, Health Sciences Centre, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada; Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada; Diabetes Care and Research Program, The Boris Clinic, McMaster University Medical Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
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12
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Eysenbach G, Chen D, Xu P, Wang X, Zhang W, Mao M, Zheng Q, Jin Y, Feng S. Web-Based Interventions for Pregnant Women With Gestational Diabetes Mellitus: Systematic Review and Meta-analysis. J Med Internet Res 2023; 25:e36922. [PMID: 36656629 PMCID: PMC9896357 DOI: 10.2196/36922] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 11/30/2022] [Accepted: 12/18/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Effective management of gestational diabetes mellitus (GDM) is essential because it is one of the most prevalent diseases during pregnancy, and the consequent condition maternal hyperglycemia is closely related to considerable short- and long-term maternal and neonatal complications. Web-based interventions (WBIs), defined as therapeutic interventions offered via the web, have been implemented to assist in managing GDM owing to their advantages of high accessibility and efficiency, but findings across relevant studies are inconsistent. OBJECTIVE This systematic review and meta-analysis aimed to evaluate the effectiveness of WBIs on glycemic control among pregnant women with GDM; examine whether specific types of intervention interactivity, format, and technology have beneficial effects on maternal glycemic control; and comprehensively assess the efficacy of WBIs in maternal behavioral outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service use and costs among pregnant women with GDM. METHODS PubMed, Embase, Cochrane Library, Web of Science, CINAHL, and PsycINFO were searched from their respective inception to November 19, 2022, to identify relevant randomized controlled trials and controlled clinical trials. The methodological quality of the included studies was assessed using the Effective Public Health Practice Project tool. Where possible, the data for all outcomes were meta-analyzed using the Stata software (version 12.0; StataCorp). Overall, 3 subgroup analyses and post hoc sensitivity analyses of maternal glycemic control parameters were performed. RESULTS Overall, 25 publications arising from 21 randomized controlled trials and controlled clinical trials were included. The overall meta-analyses on glycemic control parameters demonstrated that WBIs could significantly improve fasting blood glucose (standardized mean difference=-1.764, 95% CI -2.972 to -0.557; P=.004) and 2-hour postprandial blood glucose (standardized mean difference=-1.433, 95% CI -2.561 to -0.304; P=.01) compared with the control group, whereas no significant effect was found on glycated hemoglobin and 1-hour postprandial blood glucose. The results of the subgroup analyses indicated that mobile app-delivered interventions with a personalized format and interactive function showed more beneficial effects on maternal glycemic control. Moreover, WBIs could significantly enhance compliance with the self-monitoring of blood glucose; increase the rate of normal vaginal delivery; and decrease the chance of emergency cesarean, admission to the neonatal intensive care unit, and composite neonatal complications. GDM knowledge, risk perception of the disease, self-efficacy, satisfaction with care, and medical service use of the participants in the WBI group were also improved compared with the control group. However, the effectiveness of WBIs on other secondary outcomes was either nonsignificant or uncertain. CONCLUSIONS WBIs are a promising approach to GDM management. Personalized, interactive, and mobile app-delivered interventions seem more worthy of being recommended for future clinical practice. Further high-quality studies are required to verify these findings before making broad recommendations. TRIAL REGISTRATION PROSPERO CRD42022296625; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=296625.
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Affiliation(s)
| | - Dandan Chen
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
| | - Ping Xu
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Xiaojuan Wang
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Wei Zhang
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Minna Mao
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Qiong Zheng
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Ying Jin
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Suwen Feng
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
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13
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Birati Y, Yefet E, Perlitz Y, Shehadeh N, Spitzer S. Cultural and Digital Health Literacy Appropriateness of App- and Web-Based Systems Designed for Pregnant Women With Gestational Diabetes Mellitus: Scoping Review. J Med Internet Res 2022; 24:e37844. [PMID: 36240008 PMCID: PMC9617190 DOI: 10.2196/37844] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/03/2022] [Accepted: 07/31/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The prevalence of women diagnosed with gestational diabetes mellitus (GDM) is increasing dramatically. Mobile technologies to enhance patient self-management offer many advantages for women diagnosed with GDM. However, to our knowledge, although mobile health (mHealth) and telemedicine systems for GDM management exist, evidence on their cultural and digital health literacy appropriateness levels is limited. OBJECTIVE This review aimed to search and assess the literature on mHealth and telemedicine systems designed for women diagnosed with GDM. Our assessment of these technologies focused on their cultural and digital health literacy appropriateness as well as the systems' effectiveness in improving glycemic control and maternal and infant outcomes. METHODS We conducted a scoping review using a framework adapted from Arksey and O'Malley. Four electronic databases were searched for relevant studies: PubMed, MEDLINE (EBSCO), Web of Science, and Scopus. The databases were searched between January 2010 and January 2022. The inclusion criteria were pregnant women diagnosed with GDM, use of telemedicine for monitoring and management, and vulnerable or disadvantaged patients. We used terms related to mobile apps and telemedicine: GDM, vulnerable populations, periphery, cultural appropriateness, and digital health literacy. Studies were screened and selected independently by 2 authors. We extracted the study data on a Microsoft Excel charting table and categorized them into final themes. The results were categorized according to the cultural and digital health literacy features presented. RESULTS We identified 17 studies that reported on 12 telemedicine and mHealth app interventions. We assessed the studies in three domains: cultural appropriateness, digital health literacy, and maternal and infant outcomes. In the literature, we found that existing digital technologies may improve glycemic control and diabetes self-management. However, there is a lack of assessment of cultural and digital health literacy appropriateness for pregnant women diagnosed with GDM. Considerations in app design regarding cultural appropriateness were found in only 12% (2/17) of the studies, and only 25% (3/12) of the interventions scored ≥3 out of 5 in our assessment of digital health literacy. CONCLUSIONS mHealth and telemedicine can be an effective platform to improve the clinical management of women with GDM. Although studies published on the use of mHealth and telemedicine systems exist, there is a limited body of knowledge on the digital health literacy and cultural appropriateness of the systems designed for women diagnosed with GDM. In addition, as our study was restricted to the English language, relevant studies may have been excluded. Further research is needed to evaluate, design, and implement better tailored apps regarding cultural and digital literacy appropriateness for enhancing pregnant women's self-management as well as the effectiveness of these apps in improving maternal and infant health outcomes.
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Affiliation(s)
- Yosefa Birati
- The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Enav Yefet
- The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Department of Obstetrics and Gynecology, Baruch Padeh Medical Center Poriya, Tiberias, Israel
| | - Yuri Perlitz
- The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Department of Obstetrics and Gynecology, Baruch Padeh Medical Center Poriya, Tiberias, Israel
| | - Naim Shehadeh
- Institute of Endocrinology, Diabetes and Metabolism, Rambam Health Care Campus, Haifa, Israel
| | - Sivan Spitzer
- The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
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14
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Kytö M, Koivusalo S, Ruonala A, Strömberg L, Tuomonen H, Heinonen S, Jacucci G. Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features. JMIR Hum Factors 2022; 9:e36987. [PMID: 36222806 PMCID: PMC9607927 DOI: 10.2196/36987] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 09/09/2022] [Accepted: 09/10/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Gestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother's and the offspring's risk for short- and long-term health problems. GDM can usually be treated with a healthier lifestyle, such as appropriate dietary modifications and sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking. OBJECTIVE The aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature. METHODS We designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews. RESULTS We identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual occurs. In addition, we found 2 additional themes. First, basic functionalities that are fast to learn by women with GDM who have recently received the diagnosis should be provided, but there should also be deeper features to maintain interest for women with GDM at a later stage of pregnancy. Second, as women with GDM may have feelings of guilt, the app should have a tolerance for and a supporting approach to unfavorable behavior. CONCLUSIONS The feedback on the GDM prototype app supported the need for desirable features and provided new insights into how these features should be incorporated into GDM apps. We expect that following the proposed designs and feedback will increase the efficacy of GDM self-management apps. TRIAL REGISTRATION ClinicalTrials.gov NCT03941652; https://clinicaltrials.gov/ct2/show/NCT03941652.
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Affiliation(s)
- Mikko Kytö
- Helsinki University Hospital IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Saila Koivusalo
- Department of Gynecology and Obstetrics, Turku University Hospital, Turku, Finland
- Department of Gynecology and Obstetrics, University of Turku, Turku, Finland
- Department of Gynecology and Obstetrics, Helsinki University Hospital, Helsinki, Finland
- Department of Gynecology and Obstetrics, University of Helsinki, Helsinki, Finland
| | - Antti Ruonala
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Lisbeth Strömberg
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Heli Tuomonen
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Seppo Heinonen
- Department of Gynecology and Obstetrics, Turku University Hospital, Turku, Finland
- Department of Gynecology and Obstetrics, University of Turku, Turku, Finland
| | - Giulio Jacucci
- Department of Computer Science, University of Helsinki, Helsinki, Finland
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15
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Toxvig L, Hyldgård Nielsen J, Jepsen I. Womeńs experiences with managing advice on gestational diabetes - a qualitative interview study. SEXUAL & REPRODUCTIVE HEALTHCARE 2022; 34:100780. [PMID: 36126359 DOI: 10.1016/j.srhc.2022.100780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 08/26/2022] [Accepted: 09/09/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study aims to gain insight into womeńs experiences with gestational diabetes and their strategies to cope with advice for changing lifestyle. Further, health care professionalś approach to women with gestational diabetes is discussed. METHODS Semi-structured interviews with nine women with gestational diabetes were conducted at a university hospital, adopting a phenomenological approach. RESULTS Three themes were created: 1) Experience of control, 2) personal strategies, and 3) unintended consequences. Women experienced that the monitoring at the outpatient clinic was associated with surveillance and safety and adopted different strategies to cope with gestational diabetes. Some women experienced feeling different and labelled due to the monitoring and their eating habits. Some women expressed concern for the baby and the risk of getting diabetes after birth. Womeńs experiences and how they transfer and cope with information about gestational diabetes at an outpatient obstetric clinic are brought forward, and it became evident that individual needs in gestational diabetes care are not being met in all situations. CONCLUSION Women experienced surveillance and safety while being monitored at the outpatient clinic. At the same time, self-monitoring seemed to stimulate feelings of concern about otherś reactions to the condition. In addition, we found that womeńs strategies for behaviour change included limited food intake, controlling food purchases, and being physically active. Concerning the management of gestational diabetes, some women felt that the information was not sufficiently adapted to their individual needs, thus health professionalś approach to gestational diabetes should be based on the womeńs perspective.
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Affiliation(s)
- Lene Toxvig
- Department of Midwifery, University College of Northern Denmark, Selma Lagerløfs, Vej 2, 9220 Aalborg Øst, Denmark.
| | - Jane Hyldgård Nielsen
- Department of Midwifery, University College of Northern Denmark, Selma Lagerløfs, Vej 2, 9220 Aalborg Øst, Denmark; Public Health and Epidemiology Group, Department of Health Science and Technology, Aalborg University, Niels Jernes, Vej 14, 9220 Aalborg Øst, Denmark.
| | - Ingrid Jepsen
- Department of Midwifery, University College of Northern Denmark, Selma Lagerløfs, Vej 2, 9220 Aalborg Øst, Denmark.
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16
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Newman C, Kgosidialwa O, Dervan L, Bogdanet D, Egan AM, Biesty L, Devane D, O'Shea PM, Dunne FP. Quality of patient-reported outcome reporting in trials of diabetes in pregnancy: A systematic review. Diabetes Res Clin Pract 2022; 188:109879. [PMID: 35483543 DOI: 10.1016/j.diabres.2022.109879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 04/07/2022] [Accepted: 04/20/2022] [Indexed: 11/24/2022]
Abstract
AIMS Patient-reported outcomes (PROs) are reports of the patient's health status that come directly from the patient without interpretation by the clinician or anyone else. They are increasingly used in randomised controlled trials (RCTs). In this systematic review we identified RCTs conducted in women with diabetes in pregnancy which included PROs in their primary or secondary outcomes. We then evaluated the quality of PRO reporting against an internationally accepted reporting framework (Consolidated Standards of Reporting Trials (CONSORT-PRO) guidelines). METHODS We searched online databases for studies published 2013-2021 using a combination of keywords. Two authors reviewed all abstracts independently. Data on study characteristics and the quality of PRO reporting were extracted from relevant studies. We conducted a multiple regression analysis to identify factors associated with high quality reporting. RESULTS We identified 7122 citations. Thirty-five articles were included for review. Only 17% of RCTs included a PRO as a primary or secondary outcome. Out of a maximum score of 100 the median score was 46, indicating sub-optimal reporting. A multiple regression analysis did not reveal any factors associated with high quality reporting. CONCLUSIONS Researchers should be mindful of the importance of PRO inclusion and reporting and include reliable PROs in trials.
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Affiliation(s)
- C Newman
- College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland.
| | - O Kgosidialwa
- College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - L Dervan
- College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D Bogdanet
- College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - A M Egan
- Division of Endocrinology, Mayo Clinic, Rochester, MN, USA
| | - L Biesty
- School of Nursing and Midwifery, National University of Ireland, Galway, Galway, Ireland
| | - D Devane
- HRB-Trials Methodology Research Network, National University of Ireland Galway, Galway, Ireland; INFANT Centre and Department of Paediatrics & Child Health, University College Cork, Cork, Ireland
| | - P M O'Shea
- Department of Clinical Biochemistry, Galway University Hospital, Galway, Ireland
| | - F P Dunne
- College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
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17
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Safiee L, Rough DJ, Whitford H. Barriers and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-Management (GDM): A Systematic Literature Review of Perceptions of Healthcare Professionals and Women with GDM (Preprint). J Med Internet Res 2022; 24:e39689. [PMID: 36301613 PMCID: PMC9650580 DOI: 10.2196/39689] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/16/2022] [Accepted: 09/28/2022] [Indexed: 11/30/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) is one of the most common medical complications during pregnancy. eHealth technologies are proving to be successful in supporting the self-management of medical conditions. Digital technologies have the potential to improve GDM self-management. Objective The primary objective of this systematic literature review was to identify the views of health professionals (HPs) and women with GDM regarding the use of eHealth for GDM self-management. The secondary objective was to investigate the usability and user satisfaction levels when using these technologies. Methods Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach, the search included primary papers in English on the evaluation of technology to support self-management of GDM from January 2008 to September 2021 using MEDLINE, CINAHL, Embase, ACM, and IEEE databases. The lists of references from previous systematic literature reviews, which were related to technology and GDM, were also examined for primary studies. Papers with qualitative, quantitative, and mixed methodologies were included and evaluated. The selected papers were assessed for quality using the Cochrane Collaboration tool, National Institute for Health and Care Excellence clinical guidelines, Critical Appraisal Skills Programme Qualitative Checklist, and McGill University Mixed Methods Appraisal Tool. NVivo (QSR International) was used to extract qualitative data, which were subjected to thematic analysis. Narrative synthesis was used to analyze the quantitative data. Results A total of 26 papers were included in the review. Of these, 19% (5/26) of studies used quantitative research methodologies, 19% (5/26) used qualitative methods, and 62% (16/26) used mixed methods. In all, 4 themes were identified from the qualitative data: the benefits of using technology, engagement with people via technology, the usability of technology, and discouragement factors for the use of technology. The thematic analysis revealed a vast scope of challenges and facilitators in the use of GDM self-management systems. The challenges included usability aspects of the system, technical problems, data privacy, lack of emotional support, the accuracy of reported data, and adoption of the system by HPs. Convenience, improved GDM self-management, peer support, increased motivation, increased independence, and consistent monitoring were facilitators to use these technologies. Quantitative data showed that there is potential for improving the usability of the GDM self-management systems. It also showed that convenience, usefulness, increasing motivation for GDM self-management, helping with GDM self-management, and being monitored by HPs were facilitators to use the GDM self-management systems. Conclusions This novel systematic literature review shows that HPs and women with GDM encountered some challenges in using GDM self-management systems. The usability of GDM systems was the primary challenge derived from qualitative and quantitative results, with convenience, consistent monitoring, and optimization of GDM self-management emerging as important facilitators.
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Affiliation(s)
- Ladan Safiee
- School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Daniel John Rough
- School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Heather Whitford
- School of Health Sciences, University of Dundee, Dundee, United Kingdom
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18
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Zhong W, Li C, Liu J, Zhou J, Xiao Z, Li C, Wu H. Effect and Significance of High-Quality Nursing on Blood Glucose, Pregnancy Outcome, and Neonatal Complications of Patients with Gestational Diabetes Mellitus. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2426417. [PMID: 35516455 PMCID: PMC9064497 DOI: 10.1155/2022/2426417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 01/26/2022] [Accepted: 02/02/2022] [Indexed: 11/17/2022]
Abstract
Objective To explore the role of high-quality nursing on blood glucose, pregnancy outcome, and neonatal complications in patients with gestational diabetes mellitus. Methods Altogether, 148 patients with GDM admitted to our hospital were selected as the research participants, 83 of whom received high-quality nursing as the observation group (OG). Another 65 patients received only routine care as the control group (CG). The blood sugar level, blood pressure value, and adverse pregnancy outcomes of the OG and the CG of patients after intervention were compared. The changes of psychological state and nursing satisfaction of the OG and the CG of patients were observed. The blood lipid level and neonatal complications of the OG and the CG were detected. Results The blood sugar level of the OG was lower than that of the CG (P < 0.05). The systolic pressure and diastolic pressure of patients in the OG were lower than those in the CG after nursing intervention (P < 0.05). The abnormal delivery rate in the CG was evidently higher than that in the OG (P < 0.05). After intervention, SAS and SDS scores in the OG were lower than those in the CG (P < 0.05). The number of people who needed improvement and were dissatisfied in the OG was evidently lower than that in the CG (P < 0.05). TG and LDL-C in the OG were lower than those in the CG (P < 0.05). The total incidence of complications in the CG was evidently higher than that in the OG (P < 0.05). Conclusion High-quality nursing can reduce blood sugar and blood pressure of GDM patients and has a great protective effect on maternal and infant health, which is worthy of clinical practice.
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Affiliation(s)
- Wenjuan Zhong
- Pediatrics, Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430063, China
| | - Chunxia Li
- Department of Obstetrics and Gynecology, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Jing Liu
- Nursing Department, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Jinman Zhou
- Nursing Department, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Zhong Xiao
- Department of Obstetrics and Gynecology, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Cuimei Li
- General Surgery, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Hui Wu
- General Surgery, Wuhan Wuchang Hospital, Wuhan 430063, China
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Smith R, Michalopoulou M, Reid H, Riches SP, Wango YN, Kenworthy Y, Roman C, Santos M, Hirst JE, Mackillop L. Applying the behaviour change wheel to develop a smartphone application 'stay-active' to increase physical activity in women with gestational diabetes. BMC Pregnancy Childbirth 2022; 22:253. [PMID: 35346075 PMCID: PMC8962081 DOI: 10.1186/s12884-022-04539-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 02/14/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Physical activity (PA) interventions are an important but underutilised component in the management of gestational diabetes mellitus (GDM). The challenge remains how to deliver cost effective PA interventions that have impact on individual behaviour. Digital technologies can support and promote PA remotely at scale. We describe the development of a behaviourally informed smartphone application (Stay-Active) for women attending an NHS GDM clinic. Stay-Active will support an existing motivational interviewing intervention to increase and maintain PA in this population. METHODS The behaviour change wheel (BCW) eight step theoretical approach was used to design the application. It provided a systematic approach to understanding the target behaviour, identifying relevant intervention functions, and specifying intervention content. The target behaviour was to increase and maintain PA. To obtain a behavioural diagnosis, qualitative evidence was combined with focus groups on the barriers and facilitators to PA in women with GDM. The findings were mapped onto the Capability Opportunity Motivation-Behaviour (COM-B) model and Theoretical Domains Framework to identify what needs to change for the target behaviour and linked to appropriate intervention functions. Finally, behaviour changes techniques (BCT) and modes of delivery that are most likely to serve the intervention functions were selected. Current evidence, patient focus groups and input from key stakeholders informed Stay-Active's development. RESULTS We found that psychological capability, reflective and automatic motivation, social and physical opportunity needed to change to increase PA in women with GDM. The four key intervention functions identified were Enablement, Education, Persuasion and Training. Stay-Active incorporates these four intervention functions delivering ten BCTs including: goal setting, credible source, self-monitoring, action planning, prompts and cues. The final design of Stay-Active delivers these BCTs via an educational resource centre, with goal setting and action planning features, personalised performance feedback and individualised promotional messages. CONCLUSION The BCW has enabled the systematic and comprehensive development of Stay-Active to promote PA in women with GDM within an NHS Maternity service. The next phase is to conduct a trial to assess the feasibility and acceptability of a multi-component intervention that combines Stay-Active with PA Motivational Interviewing.
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Affiliation(s)
- R Smith
- Department of Sport and Exercise Medicine, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Windmill Road, Oxford, OX3 7LD, UK.
| | - M Michalopoulou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England
| | - H Reid
- Department of Sport and Exercise Medicine, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Windmill Road, Oxford, OX3 7LD, UK
| | - S Payne Riches
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England
| | - Y N Wango
- Women's Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, England
| | - Y Kenworthy
- Women's Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, England
| | - C Roman
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, England
| | - M Santos
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, England
| | - J E Hirst
- Women's Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, England
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, England
| | - L Mackillop
- Women's Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, England
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, England
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20
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Bertini A, Gárate B, Pardo F, Pelicand J, Sobrevia L, Torres R, Chabert S, Salas R. Impact of Remote Monitoring Technologies for Assisting Patients With Gestational Diabetes Mellitus: A Systematic Review. Front Bioeng Biotechnol 2022; 10:819697. [PMID: 35310000 PMCID: PMC8929763 DOI: 10.3389/fbioe.2022.819697] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/31/2022] [Indexed: 12/20/2022] Open
Abstract
Introduction: In Chile, 1 in 8 pregnant women of middle socioeconomic level has gestational diabetes mellitus (GDM), and in general, 5–10% of women with GDM develop type 2 diabetes after giving birth. Recently, various technological tools have emerged to assist patients with GDM to meet glycemic goals and facilitate constant glucose monitoring, making these tasks more straightforward and comfortable.Objective: To evaluate the impact of remote monitoring technologies in assisting patients with GDM to achieve glycemic goals, and know the respective advantages and disadvantages when it comes to reducing risk during pregnancy, both for the mother and her child.Methods: A total of 188 articles were obtained with the keywords “gestational diabetes mellitus,” “GDM,” “gestational diabetes,” added to the evaluation levels associated with “glucose level,” “glycemia,” “glycemic index,” “blood sugar,” and the technological proposal to evaluate with “glucometerm” “mobile application,” “mobile applications,” “technological tools,” “telemedicine,” “technovigilance,” “wearable” published during the period 2016–2021, excluding postpartum studies, from three scientific databases: PUBMED, Scopus and Web of Science. These were managed in the Mendeley platform and classified using the PRISMA method.Results: A total of 28 articles were selected after elimination according to inclusion and exclusion criteria. The main measurement was glycemia and 4 medical devices were found (glucometer: conventional, with an infrared port, with Bluetooth, Smart type and continuous glucose monitor), which together with digital technology allow specific functions through 2 identified digital platforms (mobile applications and online systems). In four articles, the postprandial glucose was lower in the Tele-GDM groups than in the control group. Benefits such as improved glycemic control, increased satisfaction and acceptability, maternal confidence, decreased gestational weight gain, knowledge of GDM, and other relevant aspects were observed. There were also positive comments regarding the optimization of the medical team’s time.Conclusion: The present review offers the opportunity to know about the respective advantages and disadvantages of remote monitoring technologies when it comes to reducing risk during pregnancy. GDM centered technology may help to evaluate outcomes and tailor personalized solutions to contribute to women’s health. More studies are needed to know the impact on a healthcare system.
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Affiliation(s)
- Ayleen Bertini
- Metabolic Diseases Research Laboratory (MDRL), Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley (CIISTe Aconcagua), Center for Biomedical Research, Universidad de Valparaíso, Valparaíso, Chile
- Programa de Doctorado en Ciencias e Ingeniería para La Salud, Faculty of Medicine, Universidad de Valparaíso, Valparaíso, Chile
- *Correspondence: Rodrigo Salas, ; Ayleen Bertini,
| | - Bárbara Gárate
- School of Biomedical Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile
| | - Fabián Pardo
- Metabolic Diseases Research Laboratory (MDRL), Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley (CIISTe Aconcagua), Center for Biomedical Research, Universidad de Valparaíso, Valparaíso, Chile
- School of Medicine, Campus San Felipe, Faculty of Medicine, Universidad de Valparaíso, Valparaíso, Chile
| | - Julie Pelicand
- Metabolic Diseases Research Laboratory (MDRL), Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley (CIISTe Aconcagua), Center for Biomedical Research, Universidad de Valparaíso, Valparaíso, Chile
- School of Medicine, Campus San Felipe, Faculty of Medicine, Universidad de Valparaíso, Valparaíso, Chile
| | - Luis Sobrevia
- Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrics, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Physiology, Faculty of Pharmacy, Universidad de Sevilla, Seville, Spain
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston, QLD, Australia
- Medical School (Faculty of Medicine), Sao Paulo State University (UNESP), São Paulo, Brazil
- Department of Pathology and Medical Biology, University of Groningen, Groningen, Netherlands
- University Medical Center Groningen (UMCG), Groningen, Netherlands
- Tecnologico de Monterrey, Eutra, The Institute for Obesity Research, School of Medicine and Health Sciences, Monterrey, Mexico
| | - Romina Torres
- Faculty of Engineering, Universidad Andres Bello, Viña Del Mar, Chile
| | - Steren Chabert
- School of Biomedical Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Valparaíso, Chile
- Centro de Investigación y Desarrollo en INGeniería en Salud—CINGS, Universidad de Valparaíso, Valparaíso, Chile
| | - Rodrigo Salas
- School of Biomedical Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Valparaíso, Chile
- Centro de Investigación y Desarrollo en INGeniería en Salud—CINGS, Universidad de Valparaíso, Valparaíso, Chile
- *Correspondence: Rodrigo Salas, ; Ayleen Bertini,
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Schnitman G, Wang T, Kundu S, Turkdogan S, Gotlieb R, How J, Gotlieb W. The role of digital patient education in maternal health: A systematic review. PATIENT EDUCATION AND COUNSELING 2022; 105:586-593. [PMID: 34183217 DOI: 10.1016/j.pec.2021.06.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 06/13/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To assess the recent trends, acceptability, and effectiveness of digital maternal patient education through summarizing the literature. METHODS Articles published in 2010-2020 on patient education, digital tools, and maternal health were searched on PubMed. Abstract and full texts were reviewed to identify eligible studies and extract key information. RESULTS Digital patient education studies covered various topics throughout pregnancy, with the greatest number of studies targeting the prenatal period. Among the 55 studies, 38 (69%) reported significant patient outcomes, with the main benefits of increased knowledge (83.3%), emotional benefits (73.7%), and behavioral changes (60.6%). The number of studies per year increased steadily over the past decade, with frequently utilized formats of texts with images (40%), SMS (30.9%), and videos (25.5%). Video produced the highest rate of positive patient outcomes; however, no statistical significance was found. CONCLUSION Our study presented evidence supporting the high effectiveness and prevalence of digital tools in maternal patient education, and analyzed the content, platforms, and formats utilized by digital tools of the past decade. PRACTICE IMPLICATIONS Digital tools are effective and feasible in conducting maternal patient education. No specific patient education format is found to be superior in improving patient's health outcomes.
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Affiliation(s)
- Gabriel Schnitman
- Department of Experimental Surgery, McGill University, Montreal, Quebec, Canada
| | - Tianci Wang
- Department of Physiology, McGill University, Montreal, Quebec, Canada.
| | - Shreenik Kundu
- Department of Experimental Surgery, McGill University, Montreal, Quebec, Canada
| | - Sena Turkdogan
- Department of Otolaryngology-Head and Neck Surgery, McGill University, Montreal, Quebec, Canada
| | | | - Jeffrey How
- Department of Gynecologic Oncology and Reproductive Medicine, MD Anderson Cancer Center, Houston, TX, USA
| | - Walter Gotlieb
- Division of Gynecologic Oncology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
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22
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Garg N, Arunan SK, Arora S, Kaur K. Application of Mobile Technology for Disease and Treatment Monitoring of Gestational Diabetes Mellitus Among Pregnant Women: A Systematic Review. J Diabetes Sci Technol 2022; 16:491-497. [PMID: 33118397 PMCID: PMC8861802 DOI: 10.1177/1932296820965577] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is an increasing health issue among pregnant women worldwide. Treatment of hyperglycemia during pregnancy improves outcomes for both mothers and infants. Effectively performing and reviewing self-monitoring of blood glucose is time-consuming for patients and care providers. In the modern era, most people having access to smartphones create opportunities for use of phone-based technologies to improve patient care in chronic diseases. This review aims to investigate the awareness and use of the smartphone application (app) with respect to management of GDM among pregnant women. MATERIALS AND METHODS Various relevant studies (n = 522) from 3 databases named Pub Med, Cochrane Library, and Google Scholar were included. For this, the study involved designing of a 5-stage review framework, which included research question identification, identification of articles, article selection, data collection, and result reporting. RESULTS Initial search criteria used a combination of keywords, by which we found out 522 literatures from 3 databases. After screening the titles and abstracts, 249 articles were excluded due to duplicate literatures and 252 articles were excluded due to the following reasons: not relevant (n = 172), editorial (n = 43), not in English (n = 7), and abstract only (n = 30). Furthermore, 10 articles were excluded because apps such as MobiGuide, pregnant + app, and GDm health were not mentioned in these articles. A total of 11 articles were included for the final analysis. CONCLUSION The mobile apps described in the present study (pregnant +, MobiGuide, and GDm health) provided personalized health care services, patient care improvement, and enhanced patient's compliance toward blood glucose monitoring and treatment.
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Affiliation(s)
- Nidhi Garg
- Chitkara College of Pharmacy, Chitkara
University, Punjab, India
- Nidhi Garg, PhD, Chitkara College of
Pharmacy, Chitkara University, Chandigarh-Patiala National Highway, Patiala,
Punjab 140401, India.
| | - Shaima Kattungal Arunan
- Pulla Reddy Institute of Pharmacy,
Gummadidala mandal, Domadugu (V), Sangareddy (Dist), Telangana, India
| | - Sandeep Arora
- Chitkara College of Pharmacy, Chitkara
University, Punjab, India
| | - Kiranjeet Kaur
- Chitkara College of Pharmacy, Chitkara
University, Punjab, India
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Poulter SE, Meloncelli N, Mack M. Use of a smartphone-based, interactive blood glucose management system in women with gestational diabetes mellitus: A pilot study. Diabetes Res Clin Pract 2022; 185:109224. [PMID: 35122904 DOI: 10.1016/j.diabres.2022.109224] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/26/2022] [Accepted: 01/28/2022] [Indexed: 12/16/2022]
Abstract
AIMS To determine patient satisfaction, impact on maternal and neonatal outcomes and resource utilisation of a smartphone-based, remote blood glucose level (BGL) monitoring platform with software surveillance inwomen with gestational diabetes (GDM) compared with historical controls. METHODS This intervention study prospectively enrolled 98 women with GDM to the NET-Health smartphone-based application and compared them to 94 historical controls. The application allows automatic, real-time BGL upload to a central server for software monitoring, with automatic alerts generated for out-of-range results. Data recorded included demographics, outcomes and occasions of service (OOS). A validated satisfaction questionnaire was completed post-delivery. RESULTS The groups had comparable baseline characteristics and no significant difference in maternal and neonatal outcomes. The NET-Health application intervention reduced resource utilisation, with 1.9 fewer OOS and 37 min less clinician time - equivalent to AUD$68 saved per woman (based on clinician time only) or AUD$23 after taking into account the cost of the application. Patient satisfaction was high. CONCLUSIONS Use of this smartphone-based application with software surveillance in women with GDM has high patient satisfaction and no differences in maternal or neonatal outcomes despite reduced resource utilisation. It is the first to demonstrate a financial benefit. Larger studies are needed.
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Affiliation(s)
- Sophie E Poulter
- Endocrinology, Sunshine Coast University Hospital, 6 Doherty St, Birtinya, Australia.
| | - Nina Meloncelli
- Nutrition and Dietetics, Allied Health, Sunshine Coast University Hospital, 6 Doherty St, Birtinya, Australia
| | - Michele Mack
- Endocrinology, Sunshine Coast University Hospital, 6 Doherty St, Birtinya, Australia
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Sakamoto JL, Carandang RR, Kharel M, Shibanuma A, Yarotskaya E, Basargina M, Jimba M. Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review. BMJ Open 2022; 12:e056807. [PMID: 35168981 PMCID: PMC8852716 DOI: 10.1136/bmjopen-2021-056807] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To investigate the roles of mobile health, or mHealth, in the psychosocial health of pregnant women and mothers. METHODS A systematic search was conducted in databases and grey literature including MEDLINE, Web of Science, CINAHL, PsycINFO, PsycARTICLES, Academic Search Complete, SocINDEX, Central Register of Controlled Trials, The Database of Abstracts of Reviews of Effects, NHS Economic Evaluation Database, Health Technology Assessment, UNICEF and WHO databases. Two searches were conducted to include original research articles published in English until 15 November 2021. Several tools were used to assess the risk of bias: revised Cochrane risk of bias tool for randomised trials, Risk of Bias in Non-randomized Studies of Interventions, National Heart, Lung, and Blood Institute quality assessment tool for cohort and cross-sectional studies, Critical Appraisal Skills Program checklist for qualitative studies and Mixed Methods Appraisal Tool for mixed-methods studies. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation approach. Due to the high heterogeneity and variability of the included studies, data synthesis was conducted narratively. RESULTS 44 studies were included among 11 999 identified articles. Most studies reported mixed findings on the roles of mHealth interventions in the psychosocial health of pregnant women and mothers; mHealth improved self-management, acceptance of pregnancy/motherhood and social support, while mixed results were observed for anxiety and depressive symptoms, perceived stress, mental well-being, coping and self-efficacy. Furthermore, pregnant women and mothers from vulnerable populations benefited from the use of mHealth to improve their psychosocial health. CONCLUSIONS The findings suggest that mHealth has the potential to improve self-management, acceptance of pregnancy/motherhood and social support. mHealth can also be a useful tool to reach vulnerable pregnant women and mothers with barriers to health information and facilitate access to healthcare services. However, the high heterogeneity limited the certainty of evidence of these findings. Therefore, future studies should identify the context under which mHealth could be more effective.
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Affiliation(s)
- Jennifer Lisa Sakamoto
- Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Rogie Royce Carandang
- Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Madhu Kharel
- Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Shibanuma
- Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ekaterina Yarotskaya
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I.Kulakov of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Milana Basargina
- Department of Neonatal Pathology, National Medical Research Center for Children's Health, Moscow, Russian Federation
| | - Masamine Jimba
- Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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25
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Edwards KJ, Maslin K, Andrade J, Jones RB, Shawe J. Mobile health as a primary mode of intervention for women at risk of, or diagnosed with, gestational diabetes mellitus: a scoping review. JBI Evid Synth 2022; 20:2195-2243. [PMID: 35152244 DOI: 10.11124/jbies-21-00294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
OBJECTIVE The objective of this review was to map the knowledge related to the use of mHealth as a primary mode of intervention for the prevention and management of gestational diabetes mellitus and its long-term implications among women at risk of or diagnosed with gestational diabetes mellitus. We also sought to understand if mHealth for women at risk of or diagnosed with gestational diabetes mellitus incorporated relevant behavior change theory and techniques. INTRODUCTION Prevention and management of gestational diabetes mellitus and its associated adverse outcomes are important to maternal and infant health. Women with gestational diabetes mellitus report high burden of disease management and barriers to lifestyle change post-delivery, which mHealth interventions may help to overcome. Evidence suggests apps could help gestational diabetes mellitus prevention and management, however, less is known about broader applications of mHealth from preconception to interconception and whether relevant behavior change techniques are incorporated. INCLUSION CRITERIA Studies published in English that focused on mHealth use as primary mode of intervention for the prevention and management of gestational diabetes mellitus and its long-term implications were considered for inclusion. Telehealth or telemedicine were excluded as these have been reviewed elsewhere. METHODS Six databases were searched: MEDLINE (Ovid), CINAHL (EBSCO), Embase (Ovid), Cochrane Database (Wiley), Scopus, and TRIP. No limits were applied to database exploration periods to ensure retrieval of all relevant studies. Gray literature sources searched were OpenGrey, ISRCTN Registry, ClinicalTrials.gov, EU Clinical Trials Register, and ANZCTR. Two reviewers independently screened abstracts and assessed full texts against the inclusion criteria. Data were extracted using an adapted version of the JBI data extraction instrument. Data are presented in narrative form accompanied by tables and figures. RESULTS This review identified 2166 sources, of which 96 full texts were screened. Thirty eligible reports were included, covering 25 different mHealth interventions. Over half (n = 14) were for self-managing blood glucose during pregnancy. Common features included tracking blood glucose levels, real-time feedback, communication with professionals, and educational information. Few (n = 6) mHealth interventions were designed for postpartum use and none for interconception use. Five for postpartum use supported behavior change to reduce the risk of type 2 diabetes and included additional features such as social support functions and integrated rewards. Early development and feasibility studies used mixed methods to assess usability and acceptability. Later stage evaluations of effectiveness typically used randomized controlled trial designs to measure clinical outcomes such as glycemic control and reduced body weight. Three mHealth interventions were developed using behavior change theory. Most mHealth interventions incorporated two behavior change techniques shown to be optimal when combined and those delivering behavior change interventions included a wider range. Nevertheless, only half of the 26 techniques listed in a published behavior change taxonomy were tried. CONCLUSIONS mHealth for gestational diabetes mellitus focuses on apps to improve clinical outcomes. This focus could be broadened by incorporating existing resources that women value, such as social media, to address needs, such as peer support. Although nearly all mHealth interventions incorporated behavior change techniques, findings suggest future development should consider selecting techniques that target women's needs and barriers. Lack of mHealth interventions for prevention of gestational diabetes mellitus recurrence and type 2 diabetes mellitus suggests further development and evaluation is required.
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Affiliation(s)
- Katie J Edwards
- School of Nursing and Midwifery, University of Plymouth, Devon, UK The University of Plymouth Centre for Innovations in Health and Social Care: A JBI Centre of Excellence, Devon, UK School of Psychology, University of Plymouth, Devon, UK Royal Cornwall Hospital Trust, Truro, Cornwall UK
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Pais S, Petrova K, Parry D. Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data. SENSORS (BASEL, SWITZERLAND) 2021; 22:s22010045. [PMID: 35009597 PMCID: PMC8747688 DOI: 10.3390/s22010045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/10/2021] [Accepted: 12/20/2021] [Indexed: 05/17/2023]
Abstract
Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in addition, there is an increased risk of women with GDM subsequently developing Type 2 diabetes. To alleviate the risks, women with GDM are advised to maintain a record of their diet and blood glucose levels and to attend regular clinical reviews. Rather than using a paper diary, women with GDM can maintain a record of their blood glucose level readings and other relevant data using a wellness mobile application (app). However, such apps are developed for general use and may not meet the specific needs of clinical staff (physicians, dietitians, obstetricians and midwives) involved in managing GDM; for example, an app may record glucose readings but not the details of a meal taken before or after the glucose reading. Second, the apps do not permanently store the data generated by the patient and do not support the transfer of these data to a clinical system or information portal. The mobile health (mHealth) system designed and developed in this research allows one to integrate different types of user generated wellness data into a centralised database. A user-centered design (UCD) approach informed by the technology acceptance model (TAM) was adopted. This paper investigates and evaluates the effectiveness of the approach with regard to facilitating system acceptance and future adoption through an early focus on enhancing system usefulness and ease of use. The functional system requirements of the proposed system were refined through a series of interviews with the perspective of clinical users; ease-of-use and usability issues were resolved through 'think aloud' sessions with clinicians and GDM patients.
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Affiliation(s)
- Sarita Pais
- Department of Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand;
- Correspondence:
| | - Krassie Petrova
- Department of Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand;
| | - Dave Parry
- Department of IT, Media and Communications, Murdoch University, Perth 6150, Australia;
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Adesina N, Dogan H, Green S, Tsofliou F. Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review. Nutrients 2021; 14:10. [PMID: 35010884 PMCID: PMC8746603 DOI: 10.3390/nu14010010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/15/2021] [Accepted: 12/17/2021] [Indexed: 12/15/2022] Open
Abstract
Advice on dietary intake is an essential first line intervention for the management of gestational diabetes mellitus (GDM). Digital tools such as web-based and smartphone apps have been suggested to provide a novel way of providing information on diet for optimal glucose regulation in women with GDM. This systematic review explores the effectiveness and usability of digital tools designed to support dietary self-management of GDM. A systematic search of Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, and Scopus using key search terms identified 1476 papers reporting research studies, of which 16 met the specified inclusion criteria. The quality of the included studies was assessed using the ErasmusAGE Quality Score or the Mixed Methods Appraisal Tool (MMAT) version 2018. The findings show that the adoption of digital tools may be an effective approach to support self-management relating to healthy diet, health behaviour, and adherence to therapy in women with GDM as a usable intervention. However, there is a lack of evidence concerning the effectiveness of tools to support the dietary management of GDM. Consideration for ethnic specific dietary advice and evidence-based frameworks in the development of effective digital tools for dietary management of GDM should be considered as these aspects have been limited in the studies reviewed.
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Affiliation(s)
- Nurudeen Adesina
- Department of Rehabilitation and Sport Sciences, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth BH8 8GP, UK;
- Centre for Midwifery, Maternal & Perinatal Health, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth BH8 8GP, UK
| | - Huseyin Dogan
- Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole BH12 5BB, UK;
| | - Sue Green
- Department of Nursing Science, Faculty of Health and Social Sciences, Bournemouth University, Bournemouth BH8 8GP, UK;
| | - Fotini Tsofliou
- Department of Rehabilitation and Sport Sciences, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth BH8 8GP, UK;
- Centre for Midwifery, Maternal & Perinatal Health, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth BH8 8GP, UK
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Eberle C, Loehnert M, Stichling S. Effectivness of specific mobile health applications (mHealth-apps) in gestational diabtetes mellitus: a systematic review. BMC Pregnancy Childbirth 2021; 21:808. [PMID: 34865645 PMCID: PMC8645100 DOI: 10.1186/s12884-021-04274-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 11/15/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), metabolic syndrome as well as cardiovascular diseases. Against this background, mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM. Therefore, we analyzed the clinical effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes in mother and child. METHODS A systematic literature search in Medline (PubMed), Cochrane Library, Embase, CINAHL and Web of Science Core Collection databases as well as Google Scholar was performed. We selected studies published 2008 to 2020 analyzing women diagnosed with GDM using specific mHealth-Apps. Controlled clinical trials (CCT) and randomized controlled trials (RCT) were included. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. RESULTS In total, n = 6 publications (n = 5 RCTs, n = 1 CCT; and n = 4 moderate, n = 2 weak quality), analyzing n = 408 GDM patients in the intervention and n = 405 in the control groups, were included. Compared to control groups, fasting blood glucose, 2-h postprandial blood glucose, off target blood glucose measurements, delivery mode (more vaginal deliveries and fewer (emergency) caesarean sections) and patient compliance showed improving trends. CONCLUSION mHealth-Apps might improve health-related outcomes, particularly glycemic control, in the management of GDM. Further studies need to be done in more detail.
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Affiliation(s)
- Claudia Eberle
- Medicine with specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany.
| | - Maxine Loehnert
- Medicine with specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany
| | - Stefanie Stichling
- Medicine with specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany
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Yee LM, Leziak K, Jackson J, Strohbach A, Saber R, Niznik CM, Simon MA. Patient and Provider Perspectives on a Novel Mobile Health Intervention for Low-Income Pregnant Women With Gestational or Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2021; 15:1121-1133. [PMID: 32627582 PMCID: PMC8442184 DOI: 10.1177/1932296820937347] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Management of diabetes mellitus (DM) during pregnancy is burdensome given the intensity of required patient engagement and skills, especially for women with greater social disadvantage. Mobile health (mHealth) technology is a promising avenue for DM health promotion, but few evidence-based mHealth tools exist for pregnancy. Thus, we designed a theory-driven mHealth tool called SweetMama, and planned a priori to gather usability and acceptability feedback from patients and providers to ensure a user-centered design. METHODS In this qualitative assessment, we solicited patient and provider feedback on this novel educational and motivational mobile application for low-income pregnant women with type 2 or gestational DM. Patients and providers participated in separate focus groups. Participants shared feedback regarding SweetMama's visual appeal, architecture, and content. SweetMama modifications were made in an iterative manner. Transcripts were analyzed using the constant comparative technique. RESULTS Patient (N = 16) and provider (N = 29) feedback was organized as positive feedback, negative feedback, or additional desired features. Within each category, themes addressed SweetMama visual features, information, or functional features. The majority of negative feedback was addressed and multiple desired features were implemented via iterative application development, resulting in a user-friendly, efficient, and potentially impactful mHealth app designed to support the unique needs of this population. CONCLUSIONS SweetMama users had largely positive feedback about the mHealth tool's appeal, content, and functionality. Suggested improvements were incorporated in preparation for further evaluation steps, which include longitudinal usability testing, feasibility trials, and larger trials to determine the efficacy of SweetMama use for improving perinatal outcomes.
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Affiliation(s)
- Lynn M. Yee
- Department of Obstetrics and Gynecology,
Division of Maternal-Fetal Medicine, Northwestern University Feinberg School of
Medicine, Chicago, IL, USA
- Lynn M. Yee, MD, MPH, Department of
Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Northwestern
University Feinberg School of Medicine, 250 E. Superior Street, #5-2145,
Chicago, IL 60611-3008, USA.
| | - Karolina Leziak
- Department of Obstetrics and Gynecology,
Division of Maternal-Fetal Medicine, Northwestern University Feinberg School of
Medicine, Chicago, IL, USA
| | - Jenise Jackson
- Department of Obstetrics and Gynecology,
Division of Maternal-Fetal Medicine, Northwestern University Feinberg School of
Medicine, Chicago, IL, USA
| | - Angelina Strohbach
- Department of Obstetrics and Gynecology,
Division of Maternal-Fetal Medicine, Northwestern University Feinberg School of
Medicine, Chicago, IL, USA
| | - Rana Saber
- Institute for Sexual and Gender Minority
Health and Wellbeing, Northwestern University, Chicago, IL, USA
| | - Charlotte M. Niznik
- Department of Obstetrics and Gynecology,
Division of Maternal-Fetal Medicine, Northwestern University Feinberg School of
Medicine, Chicago, IL, USA
| | - Melissa A. Simon
- Departments of Obstetrics and Gynecology
and Preventive Medicine, Northwestern University Feinberg School of Medicine,
Chicago, IL, USA
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Ekezie W, Dallosso H, Saravanan P, Khunti K, Hadjiconstantinou M. Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes. BMC Health Serv Res 2021; 21:772. [PMID: 34348719 PMCID: PMC8337145 DOI: 10.1186/s12913-021-06791-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 07/12/2021] [Indexed: 12/11/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) is diagnosed during pregnancy, and women with a history of GDM are at a higher risk of developing type 2 diabetes mellitus (T2DM). Prevention strategies focused on lifestyle modification help to reduce long-term complications. Self-management technology-based interventions can support behaviour change and diabetes control. The Baby Steps programme, a randomised controlled trial intervention offering group education and access to a mobile web application, was evaluated to explore user experience of the app and barriers and facilitators to app usability. Methods Ten semi-structured interviews and four focus group discussions were conducted with 23 trial participants between 2018 and 2019. Interviews and focus group discussions were audiotaped, transcribed and independently analysed. The analysis was informed by thematic analysis, with the use of the Nvivo 12 software. Results Themes identified were: (1) GDM and post-pregnancy support from healthcare services; (2) Impact of Baby Steps app on lifestyle changes; (3) Facilitators and barriers to the usability of the Baby Steps app. The Baby Steps app served as a motivator for increasing self-management activities and a tool for monitoring progress. Peer support and increased awareness of GDM and T2DM enhanced engagement with the app, while poor awareness of all the components of the app and low technical skills contributed to low usability. Conclusions This study documents experiences from existing GDM support, user experiences from using the Baby Steps app, and the barriers and facilitators to app usability. The app was both a motivational and a monitoring tool for GDM self-management and T2DM prevention. Peer support was a key trait for enhanced engagement, while barriers were low technical skills and poor awareness of the app components. A digital app, such as the Baby Steps app, could strengthen existing face-to-face support for the prevention of T2DM. The results also have wider implications for digital support technologies for all self-management interventions. Further research on the effect of specific components of apps will be required to better understand the long term impact of apps and digital interventions on self-management behaviours and outcomes. Trial registration ISRCTN, ISRCTN17299860. Registered on 5 April 2017.
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Affiliation(s)
- Winifred Ekezie
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK.,National Institute for Health Research (NIHR), Applied Research Collaboration (ARC) East Midlands, University of Leicester, Leicester, UK
| | - Helen Dallosso
- National Institute for Health Research (NIHR), Applied Research Collaboration (ARC) East Midlands, University of Leicester, Leicester, UK.,Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Ponnusamy Saravanan
- Population, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.,Department of Diabetes, Endocrinology and Metabolism, George Eliot Hospital NHS Trust, Nuneaton, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK.,National Institute for Health Research (NIHR), Applied Research Collaboration (ARC) East Midlands, University of Leicester, Leicester, UK
| | - Michelle Hadjiconstantinou
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK.
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31
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Bossung V, Kast K. [Smart sensors in pregnancy: Narrative review on the use of smart home technology in routine prenatal care]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN 2021; 164:35-43. [PMID: 34215532 DOI: 10.1016/j.zefq.2021.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/21/2021] [Accepted: 05/07/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Today's routine prenatal care in Germany includes regular in-person appointments of pregnant women with doctors or midwives. Considering an increasing digitalization of the health care sector and in view of the global COVID-19 pandemic, the frequency of in-person visits could be reduced by remote monitoring using smart sensor technology. We aim to give an overview of the current international research on the use of smart sensors in prenatal care and its benefits, costs and resource consumption. METHODS For this narrative review, PubMed and Science Direct were searched for clinical trials using smart sensors in prenatal care published in English or German language from 1/2016 to 12/2020. We included studies which addressed the benefits, costs and resource consumption of this innovative technology. RESULTS We identified 13 projects using smart sensors in the fields of basic prenatal care, prenatal care for patients with hypertensive disease in pregnancy and prenatal care for women with gestational diabetes. The projects detected positive effects of smart sensors on health care costs and resource consumption and at least equal benefits for the pregnant women. DISCUSSION AND CONCLUSIONS The current COVID-19 pandemic underlines the need for the introduction of smart sensor technology into German prenatal care routine. Remote monitoring could easily reduce the frequency of in-person visits by half. Smart sensor concepts could be approved as digital health applications in Germany. In order to increase user acceptance, there should not be any additional costs for pregnant women and health care professionals using modern health care apps. However, health insurance providers need to invest in smart sensor technology in order to eventually benefit from it.
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Affiliation(s)
- Verena Bossung
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Deutschland.
| | - Kristina Kast
- Rechts- und Wirtschaftswissenschaftliche Fakultät, Lehrstuhl für Gesundheitsmanagement, Friedrich-Alexander Universität Erlangen-Nürnberg, Nürnberg, Deutschland
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Women's Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126670. [PMID: 34205744 PMCID: PMC8296439 DOI: 10.3390/ijerph18126670] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/08/2021] [Accepted: 06/17/2021] [Indexed: 12/17/2022]
Abstract
The prevalence of gestational diabetes mellitus (GDM) is increasing, and only a few mobile health (mHealth) applications are specifically designed to manage GDM. In this mixed-methods study, a follow-up study of a randomized controlled trial (RCT) analyzed a largely automated mHealth application-based lifestyle coaching program to (a) measure the application's usage behavior and (b) explore users' perceptions of its usefulness in GDM management. Quantitative data were collected from the 170 application users who had participated in the intervention arm of the RCT. Semi-structured interviews (n = 14) captured users' experiences when using the application. Data were collected from June 2019 to January 2020. Quantitative data were analyzed descriptively, and interviews were analyzed thematically. Only 57/170 users (34%) logged at least one meal, and only 35 meals on average were logged for eight weeks because of the incorrectly worded food items and limited food database. On the contrary, an average of 1.85 (SD = 1.60) weight values were logged per week since the weight tracking component was easy to use. Many users (6/14 (43%)) mentioned that the automatic coach messages created an immediate sense of self-awareness in food choices and motivated behavior. The findings suggest that for GDM management, a largely automated mHealth application has the potential to promote self-awareness of healthy lifestyle choices, reducing the need for intensive human resources. Additionally, several gaps in the application's design were identified which need to be addressed in future works.
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Huang F, Zhang S, Tian Y, Li L, Li Y, Chen X, Sun X, Fan Y, Ma W, Liu C, Gao L, Xue X, Ma L. Effect of mobile health based peripartum management of gestational diabetes mellitus on postpartum diabetes: A randomized controlled trial. Diabetes Res Clin Pract 2021; 175:108775. [PMID: 33771645 DOI: 10.1016/j.diabres.2021.108775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/02/2021] [Accepted: 03/15/2021] [Indexed: 11/28/2022]
Abstract
AIMS To investigate the effects of mobile health based peripartum management of gestational diabetes mellitus (GDM) on postpartum diabetes and factors associated with postpartum diabetes. METHODS Women with GDM (n = 309) were randomly assigned to receive standard management (SM) or mobile management (MM). 75-g OGTT was performed at 6 weeks postpartum. RESULTS The incidence of postpartum T2DM in the MM group was much higher than that in SM group (12.36% vs. 3.88%, P = 0.0291). The fasting, 1-h and 2 h OGTT at 24-28 weeks of gestation of T2DM women were higher than those women without T2DM (fasting, 6.08 vs. 4.90, P = 0.0052; 1-h, 13.20 vs. 10.00, P < 0.0001; 11.96 vs. 8.83, P = 0.0026) in MM group. The 1-h and 2 h OGTT at 24-28 weeks of gestation of T2DM women were higher than those women without T2DM (11.54 vs. 9.78, P = 0.0484; 10.68 vs. 8.68, P = 0.0108) in SM group. Higher OGTT values at 24-28 weeks of gestation were risk factors of postpartum T2DM. CONCLUSIONS Higher OGTT values at 24-28 weeks of gestation were risk factors to develop postpartum T2DM. Mobile health based peripartum management of GDM increased the risk of postpartum diabetes among women with GDM for lacking of postpartum management. Further studies of mobile health based postpartum management of GDM are needed. ClinicalTrials.gov registration number NCT03748576.
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Affiliation(s)
- Feiling Huang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China
| | - Suhan Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China
| | - Ying Tian
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China
| | - Li Li
- Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan Province 450007, China
| | - Yan Li
- Shenyang Maternity and Child Health Hospital, Shenyang, Liaoning Province 110000, China
| | - Xiaoxia Chen
- QuanZhou Women's and Children's Hospital, Quanzhou, Fujian Province 362000, China
| | - Xiao Sun
- Shenyang Women's and Children's Hospital, Shenyang, Liaoning Province 110000, China
| | - Yanfeng Fan
- Xiamen Maternal and Child Health Hospital, Xiamen, Fujian Province 361003, China
| | - Weibo Ma
- Shunyi Women's & Children's Hospital of Beijing Children's Hospital, Beijing 101300, China
| | - Cuiying Liu
- Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province 250001, China
| | - Limin Gao
- Fuyang People's Hospital, Fuyang, Anhui Province 236004, China
| | - Xiaowen Xue
- Beijing Pinggu Hospital, Beijing 101200, China
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China.
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Varnfield M, Redd C, Stoney RM, Higgins L, Scolari N, Warwick R, Iedema J, Rundle J, Dutton W. M♡THer, an mHealth System to Support Women with Gestational Diabetes Mellitus: Feasibility and Acceptability Study. Diabetes Technol Ther 2021; 23:358-366. [PMID: 33210954 PMCID: PMC8080933 DOI: 10.1089/dia.2020.0509] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: Gestational diabetes mellitus (GDM) is defined as glucose intolerance first identified during pregnancy. Delays in diagnosis and challenges in management can lead to serious adverse outcomes for the mother and child. As rates of GDM diagnosis increase worldwide, health systems and maternity services have become increasingly strained, especially with new restrictions around in-person care due to the current COVID-19 pandemic. Mobile health (mHealth) has increasingly shown promise for management of chronic disease, driven by smartphone adoption and increased internet connectivity. The aim of this work was to evaluate the adoption and multidisciplinary care coordination of an mHealth platform called M♡THer in a cohort of women with first-time diagnosis of GDM. Methods: The mHealth platform for GDM management was developed incorporating a smartphone application, clinician portal, and secure cloud data storage. Forty participants with a first-time diagnosis of GDM were recruited to use the app during their pregnancy. User attitudes from clinicians and women were captured through post-hoc surveys, and app-usage metrics. Results: Clinicians and women indicated satisfaction and ease of use of the mHealth platform, with some technological challenges around wireless connectivity. Blood glucose reviews and antenatal contact were higher with use of the M♡THer app compared with a matched historical sample. Conclusion: The M♡THer mHealth platform is a new comprehensive tool for health care of women with GDM, and may provide an effective new avenue to enhance multidisciplinary care in the face of COVID-19 disruptions and challenges to traditional care pathways.
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Affiliation(s)
- Marlien Varnfield
- The Australian e-Health Research Centre, CSIRO, Brisbane, Australia
- Address correspondence to: Marlien Varnfield, MSc, PhD, The Australian e-Health Research Centre, CSIRO, Level 5, UQ Health Sciences Building 901/16, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia
| | - Christian Redd
- The Australian e-Health Research Centre, CSIRO, Brisbane, Australia
| | - Rachel M. Stoney
- Nutrition and Dietetics Department, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
| | - Liesel Higgins
- The Australian e-Health Research Centre, CSIRO, Brisbane, Australia
| | - Naomi Scolari
- Nutrition and Dietetics Department, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
| | - Roisine Warwick
- Chronic Disease Service, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
| | - Joel Iedema
- Department of Medicine, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
- School of Medicine, The University of Queensland, Brisbane, Australia
| | - Jane Rundle
- Women and Birthing Services, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
| | - Wendy Dutton
- Obstetrics and Gynaecology Department, Redland Hospital, Bayside Health Service, Metro South Health, Brisbane, Australia
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Eberle C, Loehnert M, Stichling S. Clinical Effectiveness of Different Technologies for Diabetes in Pregnancy: Systematic Literature Review. J Med Internet Res 2021; 23:e24982. [PMID: 33908894 PMCID: PMC8116994 DOI: 10.2196/24982] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/08/2020] [Accepted: 03/16/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Hyperglycemia in pregnancy occurs worldwide and is closely associated with health issues in women and their offspring, such as pregnancy and birth complications, respectively, as well as comorbidities, such as metabolic and cardiovascular diseases. To optimize the management of diabetic pregnancies, sustainable strategies are urgently needed. Investigation of constantly evolving technologies for diabetes that help to manage pregnancy and health is required. OBJECTIVE We aimed to conduct a systematic review to assess the clinical effectiveness of technologies for diabetes in pregnancy. METHODS Relevant databases including MEDLINE (PubMed), Cochrane Library, Embase, CINAHL, and Web of Science Core Collection were searched in September 2020 for clinical studies (2008-2020). Findings were organized by type of diabetes, type of technology, and outcomes (glycemic control, pregnancy- and birth-related outcomes, and neonatal outcomes). Study quality was assessed using Effective Public Health Practice Project criteria. RESULTS We identified 15 randomized controlled trials, 3 randomized crossover trials, 2 cohort studies, and 2 controlled clinical trials. Overall, 9 studies focused on type 1 diabetes, 0 studies focused on gestational diabetes, and 3 studies focused on both type 1 diabetes and type 2 diabetes. We found that 9 studies were strong quality, 11 were moderate quality, and 2 were weak quality. Technologies for diabetes seemed to have particularly positive effects on glycemic control in all types of diabetes, shown by some strong and moderate quality studies. Positive trends in pregnancy-related, birth-related, and neonatal outcomes were observed. CONCLUSIONS Technologies have the potential to effectively improve the management of diabetes during pregnancy. Further research on the clinical effectiveness of these technologies is needed, especially in pregnant women with type 2 diabetes.
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Affiliation(s)
- Claudia Eberle
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Fulda, Germany
| | - Maxine Loehnert
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Fulda, Germany
| | - Stefanie Stichling
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Fulda, Germany
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Edwards KJ, Bradwell HL, Jones RB, Andrade J, Shawe JA. How do women with a history of gestational diabetes mellitus use mHealth during and after pregnancy? Qualitative exploration of women's views and experiences. Midwifery 2021; 98:102995. [PMID: 33784541 DOI: 10.1016/j.midw.2021.102995] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 03/05/2021] [Accepted: 03/18/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Women experiencing gestational diabetes face challenges during and after pregnancy that could be supported with mobile health. Mobile health isn't routinely implemented and little is known regarding its use to aid information seeking, peer support and behaviour change. Understanding women's experiences of mHealth is critical to ensuring acceptance and use, particularly with relation to postpartum and interconception periods, where support is currently lacking. This study therefore aimed to explore the views and experiences of women with previous gestational diabetes, on using mHealth resources before, during and after pregnancy.Women's expectations for future mHealth were also explored. SETTING Ten female participants from across the United Kingdom, experiencing GDM within the past five years, were convenience sampled from a group of individuals participating in a webinar. The webinar about technology to support GDM management was advertised online and all of those who registered were invited, via email, to take part. DESIGN Women's views and experiences were explored using semi-structured telephone interviews. Audio recorded data were transcribed, coded and analysed using NVivo 12. Thematic analysis was used to analyse data, creating main and sub-themes. Data are presented in narrative form. PARTICIPANTS Ten women living across the United Kingdom who had experienced gestational diabetes within the past five years, participated. FINDINGS All ten women used mHealth, valuing social media for dietary information and peer support. Few mHealth resources were recommended by professionals and women discussed discontentment with the information they provided. Information found online was often valued over that provided by professionals. Some women used apps for behaviour change, but disliked certain features and poor engagement hindered their use. Women desired an app to overcome lack of motivation and prepare them for future healthy pregnancies. KEY CONCLUSIONS Information provided to women by professionals was viewed as 'limited' and mHealth resources were rarely recommended. In response, women used social media to meet informational and emotional needs. Postpartum behaviour change is important to women and could be facilitated with tailored mHealth focused on increasing motivation. To maximise adoption and engagement future mHealth should be integrated with existing resources women value and be co-produced with professionals. IMPLICATIONS FOR PRACTICE Current lack of engagement in mHealth for GDM by healthcare professionals means opportunities to influence or contest poor information are missed. We recommend increased participation by professionals to reduce opportunities for information miss-spread and reliance on peer driven information. Increasing digital confidence among professionals to support women navigate online spaces and take part in co-design is recommended.
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Affiliation(s)
- Katie J Edwards
- Centre for Health Technology, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom; School of Nursing and Midwifery, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom.
| | - Hannah L Bradwell
- Centre for Health Technology, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom; School of Nursing and Midwifery, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom.
| | - Ray B Jones
- Centre for Health Technology, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom; School of Nursing and Midwifery, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom.
| | - Jackie Andrade
- School of Psychology, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom.
| | - Jill A Shawe
- School of Nursing and Midwifery, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom; Royal Cornwall Hospitals NHS Trust Clinical School Royal Cornwall Hospitals NHS Trust, Treliske, Truro, CornwallTR1 3LQ, United Kingdom.
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Akbar S, Coiera E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. J Am Med Inform Assoc 2021; 27:330-340. [PMID: 31599936 PMCID: PMC7025360 DOI: 10.1093/jamia/ocz175] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 09/05/2019] [Accepted: 09/23/2019] [Indexed: 12/21/2022] Open
Abstract
Objective To summarize the research literature about safety concerns with consumer-facing health apps and their consequences. Materials and Methods We searched bibliographic databases including PubMed, Web of Science, Scopus, and Cochrane libraries from January 2013 to May 2019 for articles about health apps. Descriptive information about safety concerns and consequences were extracted and classified into natural categories. The review was conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) statement. Results Of the 74 studies identified, the majority were reviews of a single or a group of similar apps (n = 66, 89%), nearly half related to disease management (n = 34, 46%). A total of 80 safety concerns were identified, 67 related to the quality of information presented including incorrect or incomplete information, variation in content, and incorrect or inappropriate response to consumer needs. The remaining 13 related to app functionality including gaps in features, lack of validation for user input, delayed processing, failure to respond to health dangers, and faulty alarms. Of the 52 reports of actual or potential consequences, 5 had potential for patient harm. We also identified 66 reports about gaps in app development, including the lack of expert involvement, poor evidence base, and poor validation. Conclusions Safety of apps is an emerging public health issue. The available evidence shows that apps pose clinical risks to consumers. Involvement of consumers, regulators, and healthcare professionals in development and testing can improve quality. Additionally, mandatory reporting of safety concerns is needed to improve outcomes.
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Affiliation(s)
- Saba Akbar
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Enrico Coiera
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Farah Magrabi
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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Helmersen M, Sørensen M, Lukasse M, Laine HK, Garnweidner-Holme L. Women's experience with receiving advice on diet and Self-Monitoring of blood glucose for gestational diabetes mellitus: a qualitative study. Scand J Prim Health Care 2021; 39:44-50. [PMID: 33555201 PMCID: PMC7971282 DOI: 10.1080/02813432.2021.1882077] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE We aimed to explore how women with gestational diabetes mellitus (GDM) experience advice about diet and self-monitoring of blood glucose received in primary health care (PHC) and secondary health care (SHC) with a focus on how women perceived the care coordination and collaboration between healthcare professionals. DESIGN, SETTING AND SUBJECTS Individual interviews were conducted with 12 pregnant women diagnosed with GDM. Six women had immigrant backgrounds, and six were ethnic Norwegian. Women received GDM care in the area of Oslo, Norway. Interviews were analysed using thematic analysis. RESULTS Women described feeling shocked when they were diagnosed with GDM and feeling an immediate need for information about the consequences and management of GDM. Most of the women felt that their general practitioner (GP) had too little knowledge about GDM. Women with an immigrant background felt that the PHC midwives provided them with sufficient dietary advice related to GDM. Ethnic Norwegian women appreciated receiving more individually tailored dietary advice in SHC. Self-monitoring of blood glucose influenced women's daily lives; however, they perceived the training in PHC and SHC as adequate. The women experienced poor collaboration between healthcare professionals in PHC and SHC, which implied that they sometimes had to initiate follow-up steps in their GDM care by themselves. CONCLUSIONS Ideally, women diagnosed with GDM should meet healthcare professionals with sufficient knowledge about GDM as soon as possible after being diagnosed. The collaboration between healthcare professionals involved in the care of women with GDM should be improved to avoid having women feel that they need to coordinate their own care.KEY POINTSCurrent awareness•The management of gestational diabetes mellitus requires appropriate follow-up by healthcare professionalsMain statements•Pregnant women's need for information about the consequences and management of gestational diabetes mellitus was highest immediately after diagnosis•Women perceived that they received more individually tailored information about diet and self-monitoring of blood glucose in secondary health care compared to primary health care•Women felt that general practitioners had insufficient knowledge about gestational diabetes mellitus•Based on our results, care coordination and collaboration between healthcare professionals involved in the care of women with gestational diabetes mellitus should be improved.
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Affiliation(s)
- Maria Helmersen
- Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | - Monica Sørensen
- Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | - Mirjam Lukasse
- Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
- Faculty of Health and Social Sciences, Centre for Women’s, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway
| | - Hely Katariina Laine
- Department of Obstetrics, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lisa Garnweidner-Holme
- Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
- CONTACT Lisa Garnweidner-Holme Department of Nursing and Health Promotion, Oslo Metropolitan University, St Olavs Plass, PO Box 4, Oslo, 0310, Norway
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Zahmatkeshan M, Zakerabasali S, Farjam M, Gholampour Y, Seraji M, Yazdani A. The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review. J Med Life 2021; 14:131-141. [PMID: 34104235 PMCID: PMC8169150 DOI: 10.25122/jml-2020-0163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 04/02/2021] [Indexed: 11/23/2022] Open
Abstract
This study attempted to review the evidence for or against the effectiveness of mobile health (m-health) interventions on health outcomes improvement and/or gestational diabetes mellitus (GDM) management. PubMed, Web of Science, Scopus, and Embase databases were searched from 2000 to 10 July 2018 to find studies investigating the effect of m-health on GDM management. After removing duplications, a total of 27 articles met our defined inclusion criteria. m-health interventions were implemented by smartphone, without referring to its type, in 26% (7/27) of selected studies, short message service (SMS) in 14.9% (4/27), mobile-based applications in 33.3% (9/27), telemedicine-based on smartphones in 18.5% (5/27), and SMS reminder system in 7.1% (2/27). Most of the included studies (n=23) supported the effectiveness of m-health interventions on GDM management and 14.3% (n=4) reported no association between m-health interventions and pregnancy outcomes. Based on our findings, m-health interventions could enhance GDM patients' pregnancy outcomes. A majority of the included studies suggested positive outcomes. M-health can be one of the most prominent technologies for the management of GDM.
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Affiliation(s)
- Maryam Zahmatkeshan
- Noncommunicable Diseases Research Center, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Somayyeh Zakerabasali
- Department of Health Information Management, Health Human Resources Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mojtaba Farjam
- Noncommunicable Diseases Research Center, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
- Clinical Research Development Unit, Valie-Asr Hospital, Fasa University of Medical Sciences, Fasa, Iran
| | | | - Maryam Seraji
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Azita Yazdani
- Department of Health Information Management, Health Human Resources Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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Mobile apps for self-management in pregnancy: a systematic review. HEALTH AND TECHNOLOGY 2021. [DOI: 10.1007/s12553-021-00523-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Schoenaker DAJM, de Jersey S, Willcox J, Francois ME, Wilkinson S. Prevention of Gestational Diabetes: The Role of Dietary Intake, Physical Activity, and Weight before, during, and between Pregnancies. Semin Reprod Med 2021; 38:352-365. [PMID: 33530118 DOI: 10.1055/s-0041-1723779] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Gestational diabetes mellitus (GDM) is the most common complication of pregnancy and a significant clinical and public health problem with lifelong and intergenerational adverse health consequences for mothers and their offspring. The preconception, early pregnancy, and interconception periods represent opportune windows to engage women in preventive and health promotion interventions. This review provides an overview of findings from observational and intervention studies on the role of diet, physical activity, and weight (change) during these periods in the primary prevention of GDM. Current evidence suggests that supporting women to increase physical activity and achieve appropriate weight gain during early pregnancy and enabling women to optimize their weight and health behaviors prior to and between pregnancies have the potential to reduce rates of GDM. Translation of current evidence into practice requires further development and evaluation of co-designed interventions across community, health service, and policy levels to determine how women can be reached and supported to optimize their health behaviors before, during, and between pregnancies to reduce GDM risk.
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Affiliation(s)
- Danielle A J M Schoenaker
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Susan de Jersey
- Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.,Centre for Clinical Research and Perinatal Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Jane Willcox
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
| | - Monique E Francois
- School of Medicine, Faculty of Science Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Shelley Wilkinson
- School of Human Movements and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.,Mothers, Babies and Women's Theme, Mater Research Institute, The University of Queensland, Brisbane, Queensland, Australia
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Yew TW, Chi C, Chan SY, van Dam RM, Whitton C, Lim CS, Foong PS, Fransisca W, Teoh CL, Chen J, Ho-Lim ST, Lim SL, Ong KW, Ong PH, Tai BC, Tai ES. A Randomized Controlled Trial to Evaluate the Effects of a Smartphone Application-Based Lifestyle Coaching Program on Gestational Weight Gain, Glycemic Control, and Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: The SMART-GDM Study. Diabetes Care 2021; 44:456-463. [PMID: 33184151 PMCID: PMC7818327 DOI: 10.2337/dc20-1216] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 10/04/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE SMART-GDM examined whether Habits-GDM, a smartphone application (app) coaching program, can prevent excessive gestational weight gain (EGWG) and improve glycemic control and maternal and neonatal outcomes in gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS In this randomized controlled trial, women diagnosed with GDM between 12 and 30 weeks were randomly assigned to usual care (control) or to additional support from Habits-GDM that integrated dietary, physical activity, weight, and glucose monitoring (intervention). The primary outcome was the proportion of participants with EGWG. Secondary outcomes included absolute gestational weight gain (GWG), glycemic control, and maternal, delivery, and neonatal outcomes. RESULTS In total, 340 women were randomized (170 intervention, 170 control; mean ± SD age 32.0 ± 4.2 years; mean BMI 25.6 ± 5.6 kg/m2). There were no statistically significant differences in the proportions of women with EGWG, absolute GWG, or maternal and delivery outcomes between experimental groups. Average glucose readings were lower in the intervention group (mean difference -0.15 mmol/L [95% CI -0.26; -0.03], P = 0.011) as were the proportions of glucose above targets (premeal: 17.9% vs. 23.3%, odds ratio 0.68 [95% CI 0.53; 0.87], P = 0.003; 2-h postmeal: 19.9% vs. 50%, 0.54 [0.42; 0.70], P < 0.001). When regarded as a composite (although not prespecified), the overall neonatal complications (including birth trauma, neonatal hypoglycemia, hyperbilirubinemia, respiratory distress, neonatal intensive care unit admission, and perinatal death) were significantly lower in the intervention group (38.1% vs. 53.7%, 0.53 [0.34; 0.84], P = 0.006). CONCLUSIONS When added to usual care, Habits-GDM resulted in better maternal glycemic control and composite neonatal outcomes (nonprespecified) but did not reduce EGWG among women with GDM.
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Affiliation(s)
- Tong Wei Yew
- Department of Medicine, National University Hospital, Singapore .,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Claudia Chi
- Department of Obstetrics and Gynecology, National University Hospital, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynecology, National University Hospital, Singapore.,Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Chang Siang Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Pin Sym Foong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Winni Fransisca
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chieu Leng Teoh
- Department of Nursing, National University Hospital, Singapore
| | - Jeannie Chen
- Department of Nursing, National University Hospital, Singapore
| | - Su Tin Ho-Lim
- Department of Nursing, National University Hospital, Singapore
| | - Su Lin Lim
- Department of Dietetics, National University Hospital, Singapore
| | - Kai Wen Ong
- Department of Dietetics, National University Hospital, Singapore
| | | | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - E Shyong Tai
- Department of Medicine, National University Hospital, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Kalhori SRN, Hemmat M, Noori T, Heydarian S, Katigari MR. Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS). Curr Diabetes Rev 2021; 17:161-168. [PMID: 32619173 DOI: 10.2174/1573399816666200703181438] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/06/2020] [Accepted: 06/17/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Mobile applications and social media serve their users as convenient tools to improve and monitor diseases and conditions such as pregnancy. These tools also exert a positive impact on Gestational diabetes mellitus (GDM) self-management. INTRODUCTION Despite the expansion of mobile health apps for the management of GDM, no study has evaluated these apps using a valid tool. This study aimed to search and review the apps developed for this purpose, providing overall and specific rating scores for each aspect of MARS. METHODS Two cases of app stores (IOS and Google Play) were searched in January 2019 for apps related to GDM. Search keywords included "gestational diabetes", "pregnant diabetes", and "Health apps". Eligibility criteria include: capable of running on Android or IOS operating systems, in the English language, especially for GDM, and available in Iran. After removal of duplicates, the apps were reviewed, rated, and evaluated independently by two reviewers with Mobile App Rating Scale (MARS) tools. RESULTS Initially, 102 apps were identified after the exclusion process, five selected apps were downloaded and analyzed. All apps were classified into four categories according to contents and their interactive capabilities. In most quadrants of MARS, the Pregnant with Diabetes app received the highest scores. Also, in general, the maximum app quality mean score belonged to Pregnant with Diabetes (3.10 / 5.00). CONCLUSION Findings revealed that apps designed for GDM are small in number and poor in quality based on MARS tools. Therefore, considering pregnant women's need for using the capabilities of these apps in pregnancy management and promoting community-based care, it seems essential to develop and design a series of high-quality apps in all four specified categories (only giving comments, obtaining data and giving comments, diagnosis of GDM, and diet calculator).
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Affiliation(s)
- Sharareh R Niakan Kalhori
- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
| | - Morteza Hemmat
- Health Information Technology Department, School of Nursing and Midwifery, Saveh University of Medical Sciences, Saveh, Iran
| | - Tayebe Noori
- Health Information Technology Department, School of Allied Medical Sciences, Zabol University of Medical Sciences, Zabol, Iran
| | - Saeede Heydarian
- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
| | - Meysam Rahmani Katigari
- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
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Garnweidner-Holme L, Henriksen L, Torheim LE, Lukasse M. Effect of the Pregnant+ Smartphone App on the Dietary Behavior of Women With Gestational Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial. JMIR Mhealth Uhealth 2020; 8:e18614. [PMID: 33146620 PMCID: PMC7673980 DOI: 10.2196/18614] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 04/23/2020] [Accepted: 09/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background The prevalence of gestational diabetes mellitus (GDM) is increasing worldwide. A healthy diet and stable blood glucose levels during pregnancy can prevent adverse health outcomes for the mother and the newborn child. Mobile health may be a useful supplement to prenatal care, providing women with targeted dietary information concerning GDM. Objective We analyzed secondary data from a two-arm, multicentered, nonblinded randomized controlled trial to determine if a smartphone app with targeted dietary information and blood glucose monitoring had an effect on the dietary behavior of women with GDM. Methods Women with a 2-hour oral glucose tolerance test level of ≥9 mmol/L were individually randomized to either the intervention group receiving the Pregnant+ app and usual care or the control group receiving usual care only. Eligible women were enrolled from 5 diabetes outpatient clinics in the Oslo region, Norway, between October 2015 and April 2017. The Pregnant+ app promoted 10 GDM-specific dietary recommendations. A healthy dietary score for Pregnant+ (HDS-P+) was constructed from a 41-item food frequency questionnaire and used to assess the intervention effect on the dietary behavior completed at trial entry and at around gestation week 36. Dietary changes from baseline to week 36 were examined by a paired sample two-tailed t test. Between-group dietary differences after the intervention were estimated with analysis of covariance, with adjustment for baseline diet. Results A total of 238 women participated: 115 were allocated to the intervention group and 123 to the control group. Of the 238 women, 193 (81.1%) completed the food frequency questionnaire both at baseline and around gestational week 36. All the participants showed improvements in their HDS-P+ from baseline. However, the Pregnant+ app did not have a significant effect on their HDS-P+. The control group reported a higher weekly frequency of choosing fish meals (P=.05). No other significant differences were found between the intervention and control groups. There were no significant demographic baseline differences between the groups, except that more women in the intervention group had a non-Norwegian language as their first language (61 vs 46; P=.02). Conclusions Our findings do not support the supplementation of face-to-face follow-up of women with GDM with a smartphone app in the presence of high-standard usual care, as the Pregnant+ app did not have a beneficial effect on pregnant women’s diet. Trial Registration ClinicalTrials.gov NCT02588729; https://clinicaltrials.gov/ct2/show/NCT02588729
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Affiliation(s)
| | - Lena Henriksen
- OsloMet - Oslo Metropolitan University of Applied Sciences, Oslo, Norway
| | - Liv Elin Torheim
- OsloMet - Oslo Metropolitan University of Applied Sciences, Oslo, Norway
| | - Mirjam Lukasse
- OsloMet - Oslo Metropolitan University of Applied Sciences, Oslo, Norway.,Faculty of Heath and Social Sciences, University of South-Eastern Norway, Campus Vestfold, Norway
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Ngo E, Truong MBT, Nordeng H. Use of Decision Support Tools to Empower Pregnant Women: Systematic Review. J Med Internet Res 2020; 22:e19436. [PMID: 32924961 PMCID: PMC7522732 DOI: 10.2196/19436] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/25/2020] [Accepted: 06/25/2020] [Indexed: 01/22/2023] Open
Abstract
Background Women face many health-related decisions during pregnancy. Digitalization, new technology, and a greater focus on empowering patients have driven the development of patient-centered decision support tools. Objective This systematic review provides an overview of studies investigating the effect of patient-centered decision support tools for pregnant women. Methods We searched 5 online databases, MEDLINE, EMBASE, Web of Science, PsycINFO, and Scopus, from inception to December 1, 2019. Two independent researchers screened titles, abstracts, and full-texts against the inclusion criteria. All studies investigating the effect of patient-centered decision support tools for health-related issues among pregnant women were included. Study characteristics and results were extracted using the review management tool Rayyan and analyzed according to topic, type of decision support tools, control group, outcome measurements, and results. Results The 25 eligible studies covered a range of health topics, including prenatal screening (n=10), gestational diabetes and weight gain (n=7), lifestyle (n=3), blood pressure and preeclampsia (n=2), depression (n=1), asthma (n=1), and psychological well-being (n=1). In general, the use of decision support tools increased women's knowledge, and recording symptoms enhanced satisfaction with maternity care. Conclusions The opportunities created by digitalization and technology should be used to develop innovative patient-centered decision support tools tailored to support pregnant women. Effect on clinical outcomes should be documented.
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Affiliation(s)
- Elin Ngo
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Maria Bich-Thuy Truong
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Hedvig Nordeng
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway.,Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
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Yee L, Taylor S, Young M, Williams M, Niznik C, Simon M. Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study. JMIR Diabetes 2020; 5:e17794. [PMID: 32773367 PMCID: PMC7445621 DOI: 10.2196/17794] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 06/01/2020] [Accepted: 06/07/2020] [Indexed: 12/24/2022] Open
Abstract
Background Given the growing burden of diabetes in underserved communities and the complexity of diabetes self-management during pregnancy, the development of interventions to support low-income pregnant women with diabetes is urgently needed. Objective This study aims to develop and pilot test a theory-driven curriculum of SMS text messaging for diabetes support and education during pregnancy. Methods This was a prospective pilot investigation of a novel SMS text messaging intervention offered to pregnant women with pregestational or gestational diabetes mellitus and publicly funded prenatal care. Prior work yielded a conceptual model of diabetes self-management barriers and support factors in this population, which was used to guide curriculum development along with health behavior theories. Participants received three supportive or educational one-way text messages per week during pregnancy. In-depth semistructured interviews were performed at study exit to solicit feedback on the program. Narrative data were analyzed using the constant comparative technique to identify themes and subthemes. Results Participants (N=31 enrolled and n=26 completed both interviews) consistently reported that SMS text messaging provided enhanced motivation for diabetes self-care, reduced diabetes-related social isolation, increased perceived diabetes-associated knowledge, enhanced comfort with the health care team, and reduced logistical burdens of diabetes during pregnancy. Participants requested enhanced interactive and customizable features in future intervention iterations. Conclusions Pregnant women with diabetes who were enrolled in this pilot study of an SMS text messaging curriculum for diabetes support described enhanced motivation, knowledge, and comfort with diabetes self-care activities as a result of the health education intervention. The next steps include enriching the interactive features of the intervention and investigating the effect of the intervention on perinatal outcomes.
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Affiliation(s)
- Lynn Yee
- Northwestern University, Chicago, IL, United States
| | | | - Maria Young
- Northwestern University, Chicago, IL, United States
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Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. J Med Internet Res 2020; 22:e18480. [PMID: 32628125 PMCID: PMC7381260 DOI: 10.2196/18480] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/24/2020] [Accepted: 05/13/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients' skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but there are few standards for this. And although there are many methods for evaluating apps and digital interventions, a more specific approach might be needed for assessing digital diabetes self-management interventions. OBJECTIVE This review aims to identify which methods and criteria are used to evaluate apps and digital interventions for diabetes self-management, and to describe how patients were involved in these evaluations. METHODS We searched CINAHL, EMBASE, MEDLINE, and Web of Science for articles published from 2015 that referred to the evaluation of apps and digital interventions for diabetes self-management and involved patients in the evaluation. We then conducted a narrative qualitative synthesis of the findings, structured around the included studies' quality, methods of evaluation, and evaluation criteria. RESULTS Of 1681 articles identified, 31 fulfilled the inclusion criteria. A total of 7 articles were considered of high confidence in the evidence. Apps were the most commonly used platform for diabetes self-management (18/31, 58%), and type 2 diabetes (T2D) was the targeted health condition most studies focused on (12/31, 38%). Questionnaires, interviews, and user-group meetings were the most common methods of evaluation. Furthermore, the most evaluated criteria for apps and digital diabetes self-management interventions were cognitive impact, clinical impact, and usability. Feasibility and security and privacy were not evaluated by studies considered of high confidence in the evidence. CONCLUSIONS There were few studies with high confidence in the evidence that involved patients in the evaluation of apps and digital interventions for diabetes self-management. Additional evaluation criteria, such as sustainability and interoperability, should be focused on more in future studies to provide a better understanding of the effects and potential of apps and digital interventions for diabetes self-management.
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Affiliation(s)
- Dillys Larbi
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
| | - Pietro Randine
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
- Department of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Eirik Årsand
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
- Department of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Konstantinos Antypas
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
- SINTEF Digital, Oslo, Norway
| | - Meghan Bradway
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Elia Gabarron
- Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
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Gyselaers W, Lanssens D, Perry H, Khalil A. Mobile Health Applications for Prenatal Assessment and Monitoring. Curr Pharm Des 2020; 25:615-623. [PMID: 30894100 DOI: 10.2174/1381612825666190320140659] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/18/2019] [Indexed: 02/03/2023]
Abstract
BACKGROUND A mobile health application is an exciting, fast-paced domain that is likely to improve prenatal care. METHODS In this narrative review, we summarise the use of mobile health applications in this setting with a special emphasis on both the benefits of remote monitoring devices and the potential pitfalls of their use, highlighting the need for robust regulations and guidelines before their widespread introduction into prenatal care. RESULTS Remote monitoring devices for four areas of prenatal care are reported: (1) cardio-tocography; (2) blood glucose levels; (3) blood pressure; and (4) prenatal ultrasound. The majority of publications are pilot projects on remote consultation, education, coaching, screening, monitoring and selective booking, mostly reporting potential medical and/or economic benefits by mobile health applications over conventional care for very specific situations, indications and locations, but not always generalizable. CONCLUSIONS Despite the potential advantages of these devices, some caution must be taken when implementing this technology into routine daily practice. To date, the majority of published research on mobile health in the prenatal setting consists of observational studies and there is a need for high-quality randomized controlled trials to confirm the reported clinical and economic benefits as well as the safety of this technology. There is also a need for guidance and governance on the development and validation of new apps and devices and for the implementation of mobile health technology into healthcare systems in both high and low-income settings. Finally, digital communication technologies offer perspectives towards exploration and development of the very new domain of tele-pharmacology.
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Affiliation(s)
- Wilfried Gyselaers
- Department of Obstetrics, Ziekenhuis Oost-Limburg, Genk, Belgium; 2Department of Physiology, Hasselt University, Hasselt, Belgium.,Department of Physiology, Hasselt University, Hasselt, Belgium
| | - Dorien Lanssens
- Department of Physiology, Hasselt University, Hasselt, Belgium.,Mobile Health Unit, Facultiy of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Helen Perry
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom.,Fetal Medicine Unit, Department of Obstetrics and Gynaecology, St. George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, United Kingdom
| | - Asma Khalil
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom.,Fetal Medicine Unit, Department of Obstetrics and Gynaecology, St. George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, United Kingdom
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Dienelt K, Moores CJ, Miller J, Mehta K. An investigation into the use of infant feeding tracker apps by breastfeeding mothers. Health Informatics J 2019; 26:1672-1683. [PMID: 31793799 DOI: 10.1177/1460458219888402] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Sufficient information and support for breastfeeding mothers is vital to encourage optimal infant feeding practices. Infant feeding apps give breastfeeding instructions and access to information however, little is known about mothers' perceptions about these resources. This study investigated mothers' use and experiences of infant feeding apps with a feeding tracker component, including how information within these apps is used, initial reasons for downloading, the role of the app in infant feeding, and perceived benefits and disadvantages of infant feeding apps. In-depth interviews were conducted with nine Australian breastfeeding mothers who had used an infant feeding app in the last year. Interviews were recorded, transcribed verbatim and coded prior to thematic analysis. The findings revealed that infant feeding apps provide mothers with objective information to guide their breastfeeding decisions and other aspects of baby care. This objective approach to infant feeding gives mothers a perception of greater control, confidence and efficacy at a time of transition and stress in the early stages of parenting an infant. While, overall, the mothers were positive about infant feeding apps, they also expressed concerns regarding overreliance on the app, feeling overwhelmed with the data and questioning the credibility of the information.
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Tumminia A, Vitacolonna E, Sciacca L, Dodesini AR, Festa C, Lencioni C, Marcone T, Pintaudi B, Scavini M, Succurro E, Torlone E, Napoli A. "MySweetGestation": A novel smartphone application for women with or at risk of diabetes during pregnancy. Diabetes Res Clin Pract 2019; 158:107896. [PMID: 31669627 DOI: 10.1016/j.diabres.2019.107896] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 10/22/2019] [Indexed: 11/19/2022]
Abstract
Mobile health (mHealth) applications (apps) have been recently introduced as an easily accessible tool for providing information to pregnant women with diabetes. Despite the growing number of apps on the topic "diabetes & pregnancy", a smartphone app offering comprehensive and individualized information to both women (before and during gestation) and their healthcare professionals was still missing. To overcome this lack, the Italian Diabetes and Pregnancy Study Group conceived and realized in 2016 a novel mobile app called "MySweetGestation". It is designed to be an interactive educational tool for both patients and physicians not expert in the field. Through an interactive way of learning, it provides validated information to the user, focusing on different area of interest: from prevention and risk factors for developing diabetes during pregnancy to treatment and follow-up strategies after gestation. Three years since its publication, MySweetGestation has been downloaded in different western and eastern countries worldwide, suggesting a widespread social impact. Easily accessible personalized information made available via mHealth technology may be of great importance to spread controlled information among the pregnant population. MySweetGestation, being an interactive educational device for both patients and healthcare professionals, may contribute to improve the management of pregnant women with diabetes.
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Affiliation(s)
- Andrea Tumminia
- Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, Catania, Italy.
| | - Ester Vitacolonna
- Department of Medicine and Aging, University "G. d'Annunzio", Chieti, Italy
| | - Laura Sciacca
- Department of Clinical and Experimental Medicine, Endocrinology Section, University of Catania, Catania, Italy
| | | | - Camilla Festa
- Department of Experimental Medicine, "Sapienza" University, Rome, Italy
| | - Cristina Lencioni
- Department of Diabetes and Metabolic Disease, North-West Tuscany, Lucca Hospital, Lucca, Italy
| | - Teresa Marcone
- SSD Diabetology, University Hospital OORR Foggia, Foggia, Italy
| | | | - Marina Scavini
- Diabetes Research Institute, "San Raffaele" Hospital & Scientific Institute, Milan, Italy
| | - Elena Succurro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Elisabetta Torlone
- Department of Internal Medicine, Endocrinology and Metabolism, "S. Maria della Misericordia" Hospital, Perugia, Italy
| | - Angela Napoli
- Department of Clinical and Molecular Medicine, S. Andrea Hospital, "Sapienza" University, Rome, Italy
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