Assessment of Psychological Dimensions in Telemedicine Care for Gestational Diabetes Mellitus: A Systematic Review of Qualitative and Quantitative Studies

User experience and perceived usability of nurse-led telemonitoring among women with gestational diabetes in Dhulikhel, Nepal

Objective

To assess the usability and acceptability of nurse-led telemonitoring in managing gestational diabetes among Nepalese women.

Methods

We conducted a convergent mixed-method study among 91 pregnant women diagnosed with gestational diabetes at Dhulikhel Hospital, Nepal. Participants received glucometers and blood pressure monitors, along with training and instructions to measure and record their blood pressure and glucose levels at home once a week. Starting from the 28th gestational week, the study nurse reviewed measurements obtained at home during the biweekly telemonitoring follow ups, alternating with hospital visits. We used the System Usability Scale (SUS) to assess perceived usability and conducted in-depth interviews to understand participants' experiences with telemonitoring and related technologies, including feasibility, acceptability, satisfaction with treatment, usability, as well as any difficulties or unmet needs. The quantitative analysis included descriptive statistics to summarize participant characteristics and System Usability Scale (SUS) responses, while a framework analysis was applied to examine the qualitative data.

Results

The mean SUS score for telemonitoring services was 72.1 ± 7.6, indicating good usability (a score ≥ 68 indicates good usability). 93% of participants wanted to use the service frequently; 88% found it easy to use; 81% considered it well-integrated with their typical prenatal care. Participants acknowledged the benefits of virtual health visits, such as frequent health monitoring, facilitation of communication with healthcare providers, appointment reminders, added motivation for home monitoring, increased access to health information, and prevention of unnecessary anxiety. Overall, participants expressed satisfaction with the quality and features of the nurse-led telemonitoring for managing gestational diabetes, emphasizing its role in ensuring uninterrupted prenatal care.

Conclusions

Telemonitoring is a feasible and acceptable tool to facilitate close monitoring of pregnant women with gestational diabetes in peri-urban hospital settings in Nepal.

The relationship between quality of life and some mental problems in women with gestational diabetes mellitus (GDM): a cross-sectional study

BACKGROUND

Women with medical problems during pregnancy, including women with Gestational Diabetes Mellitus (GDM), experience an increased prevalence of mental health disorders which can affect their quality of life. This study aimed to assess the relationship between GDM-related quality of life and depression, anxiety, and stress.

METHODS

This analytical cross-sectional study was performed on 150 women with GDM. The participants were selected using a multi-stage sampling including quota and then randomized method from maternal care centers affiliated with Shahid Beheshti University of Medical Sciences, Tehran-Iran. The data were collected using a personal information questionnaire, the GDM-related quality of life questionnaire (GDMQoL-36), and the depression, anxiety, and stress scale (DASS). The data were analyzed using SPSS-23 software and statistical tests of coefficient Spearman's correlation, t-test, analysis of variance, and multiple linear regression.

RESULTS

The mean ± SD score for the GDM-related quality of life and the DASS scale were 55.51 ± 8.87 and 27.12 ± 19.43%, respectively. Different degrees of depression, anxiety, and stress were present in 40, 61.3, and 42% of women, respectively. The total score of GDM-related quality of life had a significant negative correlation with the total score of DASS and the scores of the subscales including depression, anxiety, and stress (P < 0.001). There were significant correlations between the total score of GDM-related quality of life with age, BMI, length of marriage, educational level of the woman and her spouse, the occupation of the woman and her spouse, income, and economic class of the family. Multiple linear regression revealed that depression, education, and job are predictive factors for GDM-related quality of life.

CONCLUSION

GDM-related quality of life is related to some mental disorders. Therefore, it is important to consider the mental health promotion of pregnant women with GDM in future prenatal health programs to improve their quality of life. This also shows the importance of integrating mental health promotion strategies to enhance the quality of life of pregnant women with GDM.

Alexithymia, intolerance to uncertainty and mental health difficulties in adolescents with Type 1 diabetes mellitus

BACKGROUND

Type 1 Diabetes Mellitus (T1DM) represents a serious chronic condition affecting a wide number of people. Discussion of the physical issues associated with T1DM pervades the literature, however, there is less discussion of the psychological consequences. Mental health difficulties, alexithymia and uncertainty are present in this population, and known to be harmful for the onset, maintenance and worsening of T1DM. This study aimed to evaluate the presence of these phenomena in people with T1DM.

METHODS

105 participants aged between 11 and 17 years old (M: 13.88; SD: 2.16) affected by T1DM were included in the sample. To assess the presence of mental health difficulties, SAFA scales (Depression, Anxiety and Somatic symptoms) were included in the protocol together with TAS-20 and IUS-12, which evaluate the presence and role of alexithymia and intolerance to uncertainty in the sample, respectively.

RESULTS

A concerning presence of anxiety, depression and somatic symptoms was found in the sample. Mental health difficulties appeared to be consistently present in the sample, often overcoming pathological thesholds. Alexithymia and uncertainty were also common, highlighting their role in T1DM.

CONCLUSIONS

Active mental health difficulties together with high rates of alexithymia and intolerance to uncertainty were prevalent in the sample of adolescents with diabetes.

Telehealth use in maternity care during a pandemic: A lot of bad, some good and possibility

BACKGROUND

To reduce transmission risk during the COVID-19 pandemic, 'telehealth' (health care delivered via telephone/video-conferencing) was implemented into Australian maternity services. Whilst some reports on telehealth implementation ensued, there was scant evidence on women and midwives' perspectives regarding telehealth use.

METHODS

A qualitative study was conducted in Australia during 2020-2021 using two data sources from the Birth in the Time of COVID-19 (BITTOC) study: i) interviews and ii) surveys (open-text responses). Content analysis was utilised to analyse the data and explore telehealth from the perspective of midwives and women accessing maternity care services. In-depth interviews were conducted with 20 women and 16 midwives. Survey responses were provided from 687 midwives and 2525 women who were pregnant or gave birth in 2021, generating 212 and 812 comments respectively.

FINDINGS

Telehealth delivery was variable nationally and undertaken primarily by telephone/videoconferencing. Perceived benefits included: reduced COVID-19 transmission risk, increased flexibility, convenience and cost efficiency. However, women described inadequate assessment, and negative impacts on communication and rapport development. Midwives had similar concerns and also reported technological challenges.

CONCLUSION

During the COVID-19 pandemic, telehealth offered flexibility, convenience and cost efficiency whilst reducing COVID-19 transmission, yet benefits came at a cost. Telehealth may particularly suit women in rural and remote areas, however, it also has the potential to further reduce equitable, and appropriate care delivery for those at greatest risk of poor outcomes. Telehealth may play an adjunct role in post-pandemic maternity services, but is not a suitable replacement to traditional face-to-face maternity care.

Telemedicine in the treatment of gestational diabetes: An observational cohort study on pregnancy outcomes and maternal satisfaction

AIMS

Gestational diabetes treatment requires several outpatient consultations from diagnosis until delivery in order to prevent hyperglycaemia, which is associated with maternal and fetal complications. There is limited evidence in the literature about telemedicine superiority in improving pregnancy outcomes for women with gestational diabetes. The primary aim of the study was to evaluate maternal and fetal outcomes, while the secondary aim was to estimate the degree of satisfaction with gestational diabetes treatment, comparing telemedicine versus outpatient care.

METHODS

This observational cohort study involved 60 consecutive women with gestational diabetes treated at the Diabetology Unit of Ferrara: 27 were followed up through a weekly remote control method (telemedicine group) and 33 in ambulatory clinics every 2 or 3 weeks (conventional group). After giving birth, 56 women responded to the modified Oxford Maternity Diabetes Treatment Satisfaction Questionnaire to assess their satisfaction with diabetes care.

RESULTS

No statistically significant differences were found in most of the maternal and neonatal parameters evaluated in both groups. The questionnaire scores were positive in all areas investigated. Telemedicine follow-up made women feel more controlled (p = 0.045) and fit better with their lifestyle (p = 0.005). It also emerged that almost all women treated with telemedicine would recommend this method to a relative or a friend.

CONCLUSIONS

Telemedicine follow-up proved to be safe both in terms of metabolic control and pregnancy outcomes; furthermore, it significantly decreased the need for outpatient consultations and increased women's satisfaction. Studying the impact of telemedicine is also necessary, considering the current difficulties associated with the Sars-COV-2 pandemic.

Effectiveness of a comprehensive telemedicine intervention replacing standard care in gestational diabetes: a randomized controlled trial

AIMS

Telemedicine improves glycemic and perinatal outcomes when used as an adjunct to standard care in gestational diabetes (GDM). Little is known about its effectiveness when used instead of standard care. We aimed to compare the outcomes of telemedicine care and the standard care in women with GDM.

METHODS

In a single-center, parallel, randomized controlled trial, women were randomized to: (1) a telemedicine group, sending glucose readings via an application installed on a smartphone and monthly individual video calls replacing on-site visits or (2) standard care group with routine monthly on-site visits. The primary outcome was the effectiveness of glycemic control. The secondary outcomes were gestational weight gain (GWG) and perinatal data, including birth weight, gestational age, the incidence of the offspring large for gestational age, preterm birth, preeclampsia and cesarean section.

RESULTS

A total of 106 women were randomized to the telemedicine (n = 54) and the standard care group (n = 52). The telemedicine group demonstrated less postprandial measurements above the glycemic target (10.4% [3.9-17.9] vs. 14.6% [6.5-27.1]; p = 0.015), together with lower average postprandial glucose (5.6 ± 0.3 vs. 5.9 ± 0.4; p = 0.004). Percentage of cesarean section was lower in the telemedicine group (9 (17.3%) vs. 18 (35.3%); p = 0.038).

CONCLUSIONS

Telemedicine offers an effective alternative to delivering care to women with GDM. Trial registration NCT05521893, ClinicalTrials.gov Identifier URL: https://www.

CLINICALTRIALS

gov/ct2/show/NCT05521893?term=NCT05521893&draw=2&rank=1.

Technologies Applied to the Mental Health Care of Pregnant Women: A Systematic Literature Review

OBJECTIVE

 This article aims to review the literature regarding the use of technologies to promote mental health for pregnant women. We seek to: understand the strategies that pregnant women use for mental health care. Also, we investigate the existence of scientific evidence that validates such practices.

METHODS

 This study follows the PRISMA guidelines for systematic reviews. We analyze 27 studies published between 2012 and 2019. We include publications in Portuguese, English, and Spanish.

RESULTS

 The results revealed several different possibilities to use technology, including the use of text messages and mobile applications on smartphones. Mobile applications are the most commonly used approaches (22.5%). Regarding the strategies used, cognitive-behavioral approaches, including mood checks, relaxation exercises, and psychoeducation comprised 44.12% of the content.

CONCLUSION

 There is a need for further investigation and research and development efforts in this field to better understand the possibilities of intervention in mental health in the digital age.

A nutritional web-based approach in obesity and diabetes before and during the COVID-19 lockdown

INTRODUCTION

Obesity and type 2 diabetes (T2D) are two closely related pandemic conditions. Novel technologies represent promising tools for their management, the use of which has been greatly encouraged during the COVID-19 pandemic. The aim of the present study is to compare a web-based nutritional intervention versus a traditional one, before and during the Italian 'lockdown' period due to the COVID-19 outbreak, in overweight and obese subjects affected by T2D or impaired glucose regulation (IGR).

METHODS

For the study, 36 subjects were randomly allocated into two arms: a traditional arm, providing face-to-face individual and group-based intervention; and a web arm, deploying the in-presence traditional approach with intervention provided through web technologies. The outcomes were the data resulting from the comparison between the subjects' anthropometric and clinical parameters as well as PREDIMED scores at baseline with those at 3 months (T3), 6 months (T6) and at lockdown.

RESULTS

In the web arm we detected a progressive reduction in weight and body mass index (BMI) from baseline to T6 and a minimal increase of both parameters during the lockdown. Improvement of these parameters compared with baseline was observed in controls during the lockdown. The PREDIMED score improved at T6 compared with baseline in both arms. Significant variations were observed considering weight (p < 0.001), BMI (p = 0.001) and PREDIMED scores (p = 0.023) over time.

DISCUSSION

The study showed the effectiveness and feasibility of a short-term nutritional web-based intervention in patients affected by T2D or IGR before and during the COVID 19 pandemic.Clinical Trial registration number: NCT04386200, ClinicalTrials.gov.

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)

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.

Reminder Systems to Increase Compliance With Glucose Logging in Gestational Diabetes: A Systematic Review & Meta-analysis

OBJECTIVE

We sought to evaluate the effectiveness of reminder systems in improving patient compliance with blood glucose monitoring in gestational diabetes in a meta-analysis of randomized controlled trials.

DATA SOURCES

Scopus, PubMed, CINAHL and the Cochrane Library were searched from inception through October 2021.

STUDY ELIGIBILITY CRITERIA

Randomized control trials (RCTs) that examined reminder-based systems (i.e. technology assisted or phone based) to prompt pregnant patients with gestational diabetes to monitor glucose levels (compliance) versus traditional management without reminder systems were included. Studies were excluded if they examined only qualitative outcomes, examined patients with pre-existing diabetes or those in which the control group included another intervention rather than standard care.

STUDY APPRAISAL AND SYNTHESIS METHOD

Primary outcome was patient compliance, defined as the number of glucose values provided by the patient divided by the number of instructed glucose values. Secondary outcomes were maternal mean blood glucose values, 2 hour glucose tolerance test results postpartum, cesarean section rate, neonatal intensive care admission and rates of large for gestational age or macrosomia. The summary measures were reported as relative risk (RR) or as mean difference (MD) with 95% of confidence interval (CI).

RESULTS

Seven RCTs including 863 patients were included in our review. Reminder systems were associated with a statistically significant increase in patient compliance in blood glucose monitoring (83.5% versus 68.2%, MD 15.87%, 95% CI 10.94 to 20.8). Reminder systems were associated with a significant decrease mean blood glucose values (Mean difference -5.63, 95% CI -8.1 to -3.15) and in the rate of delivery by cesarean section (RR 0.66, 95% CI 0.49 to 0.88). Other outcomes including neonatal intensive care unit admissions, fetal macrosomia, large for gestational age infants, and two-hour glucose tolerance tests results postpartum were not significant between the two groups.

CONCLUSION

The use of reminder systems for patients with gestational diabetes increases patient compliance with blood glucose monitoring, decreases mean blood glucose values and is associated with a decreased risk of cesarean section.

Effects of Telemetric Interventions on Maternal and Fetal or Neonatal Outcomes in Gestational Diabetes: Systematic Meta-Review

Background

In 2019, 1 of 6 births was affected by gestational diabetes mellitus (GDM) globally. GDM results in adverse maternal, fetal, and neonatal outcomes in the short and long term, such as pregnancy and birth complications, type 2 diabetes, metabolic syndrome, and cardiovascular disease. In the context of “transgenerational programming,” diabetes mellitus during pregnancy can contribute to “programming” errors and long-term consequences for the child. Therefore, early therapy strategies are required to improve the clinical management of GDM. The interest in digital therapy approaches, such as telemetry, has increased because they are promising, innovative, and sustainable.

Objective

This study aimed to assess the current evidence regarding the clinical effectiveness of telemetric interventions in the management of GDM, addressing maternal glycemic control, scheduled and unscheduled visits, satisfaction, diabetes self-efficacy, compliance, maternal complications in pregnancy and childbirth, as well as fetal and neonatal outcomes.

Methods

Medline via PubMed, Web of Science Core Collection, Embase, Cochrane Library, and CINAHL databases were systematically searched from January 2008 to April 2020. We included randomized controlled trials, systematic reviews, meta-analyses, and clinical trials in English and German. Study quality was assessed using “A MeaSurement Tool to Assess systematic Reviews” and “Effective Public Health Practice Project.”

Results

Our search identified 1116 unique studies. Finally, we included 11 suitable studies (including a total of 563 patients and 2779 patient cases): 4 systematic reviews or meta-analyses (1 of high quality and 3 of moderate quality), 6 randomized controlled trials (2 of high quality and 4 of moderate quality), and 1 low-quality nonrandomized controlled trial. We classified 4 “asynchronous interventions” and 3 “asynchronous and real-time interventions.” Our findings indicate that telemetric therapy clearly improves glycemic control and effectively reduces glycated hemoglobin A_1c levels. Furthermore, in 1 study, telemetry proved to be a significant predictor for a better glycemic control (hazard ratio=1.71, 95% CI 1.11-2.65; P=.02), significantly fewer insulin titrations were required (P=.04), and glycemic control was achieved earlier. Telemetric therapy significantly reduced scheduled and unscheduled clinic visits effectively, and women were highly satisfied with the treatment (P<.05). From fetal and neonatal short-term outcomes, some improving tendencies in favor of telemetry were determined. No long-term outcomes were detected.

Conclusions

Telemetric interventions clearly improved glycemic control, notably glycated hemoglobin A_1c levels, and reduced scheduled and unscheduled clinic visits effectively, which reinforces this digital approach in the treatment of GDM.

Association of pre- and early-pregnancy factors with the risk for gestational diabetes mellitus in a large Chinese population

Gestational diabetes mellitus (GDM) has aroused wide public concern, as it affects approximately 1.8-25.1% of pregnancies worldwide. This study aimed to examine the association of pre-pregnancy demographic parameters and early-pregnancy laboratory biomarkers with later GDM risk, and further to establish a nomogram prediction model. This study is based on the big obstetric data from 10 "AAA" hospitals in Xiamen. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Data are analyzed using Stata (v14.1) and R (v3.5.2). Total 187,432 gestational women free of pre-pregnancy diabetes mellitus were eligible for analysis, including 49,611 women with GDM and 137,821 women without GDM. Irrespective of confounding adjustment, eight independent factors were consistently and significantly associated with GDM, including pre-pregnancy body mass index (BMI), pre-pregnancy intake of folic acid, white cell count, platelet count, alanine transaminase, albumin, direct bilirubin, and creatinine (p < 0.001). Notably, per 3 kg/m² increment in pre-pregnancy BMI was associated with 22% increased risk [adjusted odds ratio (OR) 1.22, 95% confidence interval (CI) 1.21-1.24, p < 0.001], and pre-pregnancy intake of folic acid can reduce GDM risk by 27% (adjusted OR 0.73, 95% CI 0.69-0.79, p < 0.001). The eight significant factors exhibited decent prediction performance as reflected by calibration and discrimination statistics and decision curve analysis. To enhance clinical application, a nomogram model was established by incorporating age and above eight factors, and importantly this model had a prediction accuracy of 87%. Taken together, eight independent pre-/early-pregnancy predictors were identified in significant association with later GDM risk, and importantly a nomogram modeling these predictors has over 85% accuracy in early detecting pregnant women who will progress to GDM later.

Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

The Relationship Between Alexithymia and Type 2 Diabetes: A Systematic Review

Background: This systematic review analyzed the relationship between alexithymia, considered as the inability to recognize and express thoughts and emotions, and type 2 diabetes mellitus (T2DM), one of the most common chronic illness, characterized by a metabolic disorder burdened by high morbidity and mortality worldwide due to its outcomes. Methods: PRISMA guidelines were followed throughout this systematic review of the recent literature indexed in the databases PubMed, PsycInfo, Scopus, and Web of Science. Search terms for eligible studies were: "Type 2 diabetes" OR "T2DM" AND "Toronto Alexithymia Scale" OR "TAS-20"[All Fields]. Results: The initial search identified 61 indexed scientific publications. After screening we found that seven publications met the established scientific inclusion and exclusion criteria. It emerged that alexithymic patients ranged from 25 to 50% across the examined publications and it appeared that patients with T2DM generally reflected greater values of alexithymia, revealing particular differences among TAS domains. Moreover, emlpoyed participants were alexithymic to a greater extent compared to non-working participants (77.8 vs. 35.4%) and alexithymia was 2.63 times more severe among working participants when examining predictors of alexithymia. When evaluating the correlations between alexithymia and HbA1c or fasting blood glucose levels we found strong associations equal to 0.75 and 0.77 for TAS-20 total scores, respectively. While alexithymic participants showed significantly higher levels of HbA1c and blood glucose when compared to the non-alexithymic participants. Conclusions: The results of this systematic review of the current literature highlight the need of alexithymia evaluation in patients with T2DM. The high prevalence in T2DM and strong associations with poorly regulated diabetes and psychological distress, indicate a significant relationship between poor glycemic control and psychological distress, such as anxiety and depression, and quality of life. Further studies are needed focusing on age and gender differences in order to be able to improve clinical psychological care and prevention.

Continuous 7-Month Internet of Things-Based Monitoring of Health Parameters of Pregnant and Postpartum Women: Prospective Observational Feasibility Study

BACKGROUND

Monitoring during pregnancy is vital to ensure the mother's and infant's health. Remote continuous monitoring provides health care professionals with significant opportunities to observe health-related parameters in their patients and to detect any pathological signs at an early stage of pregnancy, and may thus partially replace traditional appointments.

OBJECTIVE

This study aimed to evaluate the feasibility of continuously monitoring the health parameters (physical activity, sleep, and heart rate) of nulliparous women throughout pregnancy and until 1 month postpartum, with a smart wristband and an Internet of Things (IoT)-based monitoring system.

METHODS

This prospective observational feasibility study used a convenience sample of 20 nulliparous women from the Hospital District of Southwest Finland. Continuous monitoring of physical activity/step counts, sleep, and heart rate was performed with a smart wristband for 24 hours a day, 7 days a week over 7 months (6 months during pregnancy and 1 month postpartum). The smart wristband was connected to a cloud server. The total number of possible monitoring days during pregnancy weeks 13 to 42 was 203 days and 28 days in the postpartum period.

RESULTS

Valid physical activity data were available for a median of 144 (range 13-188) days (75% of possible monitoring days), and valid sleep data were available for a median of 137 (range 0-184) days (72% of possible monitoring days) per participant during pregnancy. During the postpartum period, a median of 15 (range 0-25) days (54% of possible monitoring days) of valid physical activity data and 16 (range 0-27) days (57% of possible monitoring days) of valid sleep data were available. Physical activity decreased from the second trimester to the third trimester by a mean of 1793 (95% CI 1039-2548) steps per day (P<.001). The decrease continued by a mean of 1339 (95% CI 474-2205) steps to the postpartum period (P=.004). Sleep during pregnancy also decreased from the second trimester to the third trimester by a mean of 20 minutes (95% CI -0.7 to 42 minutes; P=.06) and sleep time shortened an additional 1 hour (95% CI 39 minutes to 1.5 hours) after delivery (P<.001). The mean resting heart rate increased toward the third trimester and returned to the early pregnancy level during the postpartum period.

CONCLUSIONS

The smart wristband with IoT technology was a feasible system for collecting representative data on continuous variables of health parameters during pregnancy. Continuous monitoring provides real-time information between scheduled appointments and thus may help target and tailor pregnancy follow-up.

Association between levels of aquaporin 3 in the placenta and adiponectin in the umbilical cord blood with gestational diabetes mellitus and pregnancy outcome

Pregnant women with gestational diabetes mellitus (GDM) may have adverse pregnancy outcomes, even if their blood glucose level is well-controlled. Aquaporin 3 (AQP3) and adiponectin (APN) serve important roles in fetal growth and development. However, the associations of AQP3 and APN with GDM and pregnancy outcome are not known. Therefore, the present study was performed to evaluate the expression of AQP3 in the placenta and APN in the umbilical artery blood, and the association of the two factors with GDM and pregnancy outcome. The patient cohort was divided into two groups: Pregnant women with GDM; and pregnant women with normal glucose tolerance (NGT). The expression levels of AQP3 in the placenta and APN in the umbilical artery blood were detected. Logistic regression was used to analyze the associations of AQP3 and APN with GDM and pregnancy outcome. The expression levels of AQP3 and AQP3 mRNA in the placenta of the GDM group were decreased compared with that of the NGT group, and the difference was statistically significant (P<0.05). The expression of APN in the umbilical artery blood of the GDM group was also decreased compared with that of the NGT group, and the difference was also statistically significant (P<0.05). Multivariate logistic regression analyses indicated that the AQP3 and APN levels were negatively correlated not only with the risk of developing GDM [AQP3 odds ratio (OR)=5.00 (P<0.01); APN OR=2.98 (P=0.01)], but also with abnormal pregnancy outcome [(AQP3 OR=4.64 (P<0.01); APN OR=5.41 (P<0.01)]. The levels of AQP3 in the placenta and APN in the umbilical cord blood were associated with GDM, and the risk of GDM was increased in pregnant women with decreased AQP3 and APN levels. The AQP3 and APN levels also had an effect on pregnancy outcome. The risk of abnormal pregnancy outcomes, including cesarean section, macrosomia, fetal distress and neonatal asphyxia, was increased in pregnant women with decreased AQP3 and APN levels.

A Systematic Review of Metacognitive Beliefs in Chronic Medical Conditions

Background: Psychological functioning plays an important role in medical conditions and impacts patients' quality of life. Previously, many studies have highlighted the association of metacognition to both the development and maintenance of emotional disorders. Recently, several researchers pointed out the relevant role of dysfunctional metacognitive beliefs in the context of chronic diseases. Hence, dysfunctional metacognitive beliefs could be directly related to anxiety and depression, regardless of the medical condition's expression. The aim of this systematic review was to summarize the available evidence regarding the association of metacognition with anxiety, depression, and perceived quality of life, in the context of medical conditions, according to Wells' theory.

Methods: A systematic review based on electronic bibliographic databases (PsycINFO, PubMed, Scopus, Web of Science, and Web of Knowledge) of scientific literature was carried out. Studies involving patients evaluated in clinical settings were included in the analysis.

Results: Our findings indicated that metacognition appears to be related to anxiety, depression, and quality of life in patients with medical chronic conditions. Therefore, dysfunctional metacognitive beliefs might be a relevant factor associated with the process of adapting to illness.

Conclusions: The additional evaluation of metacognitive factors in the context of several medical chronic conditions appears valuable. Due to the rising interest in the study of metacognition, suggestions for future research have also been provided.

Being 'A Google Mom' or securely monitored at home: Perceptions of remote monitoring in maternity care

AIMS

To understand the perspectives of both healthcare professionals in maternity care and pregnant women with higher risk pregnancies about remote monitoring in maternity care.

DESIGN

Qualitative descriptive design.

METHODS

Individual and focus group interviews were conducted in public maternity care and in a level III hospital in Finland during April-May 2018. The sample consisted of healthcare professionals working in the primary care and at the hospital and hospitalized pregnant women. Altogether, 17 healthcare professionals and 4 pregnant women participated in the study. The data were analysed using inductive thematic network analysis.

RESULTS

Many possibilities - and an equal number of concerns - were identified regarding remote monitoring in pregnancy, depending on the respondent's viewpoint from holistic to symptom-centred care. Healthcare staff had reservations about technology due to previous negative experiences and difficulties trusting technology. The pregnant women thought that monitoring would ease the staff's workload if the latter had enough technological skills. Remote monitoring could increase security in pregnancy care but create a feeling of false security if the women ignored their subjective symptoms. Face-to-face visits and the uniqueness of human contact were strongly favoured. Pregnant women wished to use monitoring as a confirmation of their subjective feelings.

CONCLUSION

Remote monitoring could be used as a supplementary system in pregnancy care, although it could replace only some healthcare visits. Pregnant women identified more possibilities for remote monitoring compared with the staff members both in primary care and the hospital.

IMPACT

A comprehensive understanding of pregnant women's and healthcare professionals' perceptions of remote monitoring in pregnancy was built to be able to develop new technologies in maternity care. In certain cases, remote monitoring would supplement traditional pregnancy follow-ups. Staff in primary and specialized care, and healthcare managers, should support teamwork to be able to understand different approaches to pregnancy care.