Skip to main content
Frontiers in Pediatrics logoLink to Frontiers in Pediatrics
. 2021 May 5;9:660173. doi: 10.3389/fped.2021.660173

Intermittently Scanned and Continuous Glucose Monitor Systems: A Systematic Review on Psychological Outcomes in Pediatric Patients

Roberto Franceschi 1,*,, Francesca Micheli 1,*,, Enza Mozzillo 2, Vittoria Cauvin 1, Alice Liguori 1, Massimo Soffiati 1, Elisa Giani 3
PMCID: PMC8131655  PMID: 34026692

Abstract

Aim: To explore the impact of real-time continuous glucose monitoring (rtCGMs) or intermittently scanned/viewed CGM (isCGM) on psychological outcomes in children and caregivers, and to grade the level of evidence.

Method: Systematic review of the literature from PubMed, Embase, Cochrane Library, Web of Science, CINAHL, Nursing reference center, Up to date, Google Scholar, and PsycINFO databases. The studies selected used validated questionnaires for investigating the psychological outcomes. We applied GRADE (Grading of Recommendations Assessment, Development and Evaluation) to rank the quality of a body of evidence.

Results: A total of 192 studies were identified in the initial search and after the process of evaluation 25 studies were selected as appropriate to be included in this systematic review. We found in moderate quality studies that isCGM in adolescents can improve diabetes related distress, family conflicts, fear of hypoglycemia, and quality of life, while depression, anxiety, and quality of sleep have not yet been evaluated by validated questionnaires. In moderate—high quality studies, rtCGM technology does not impact on diabetes burden, diabetes specific family conflict, and depressive symptoms. The effect on fear of hypoglycemia, sleep quality, and anxiety is still debated and RCT studies powered to find significant results in psychological outcomes are lacking. RtCGM increases satisfaction and quality of life in parents and patients wearing rtCGM.

Conclusion: these data present an interesting point to consider when families are deciding whether or not to start CGM use, choosing between rtCGM to reach a tighter metabolic control, or isCGM which allows greater benefits on psychological outcomes.

Keywords: psychological outcomes, isCGM, CGM, type 1 diabetes, child

Introduction

The advent of real-time continuous glucose monitoring systems (rtCGMs) or intermittently scanned/viewed CGM (isCGM) is one of the major technological innovation for the treatment of Type I Diabetes (T1D). Real-time CGM allows individuals with diabetes to follow their glucose concentration simultaneously, and to obtain information on glucose trends and trajectories. Moreover, the systems can provide warnings on upcoming hypoglycemia or hyperglycemia as well as alarms for rapid glycemic excursions (1). Meta-analyses provided evidence for real-time CGM to lower hemoglobin A1c (HbA1C) levels without increasing hypoglycemic events (1).

Importantly, recent studies confirmed that the use of isCGM has a positive impact on glucose control, by limiting glucose variability, reducing hypoglycemia, and improving long-term glucose control (2).

In addition to the stand-alone rtCGM systems, the integrated combination of pump therapy with rtCGMs allows to automatically suspend insulin delivery in the case of upcoming hypoglycemia, thus reducing or avoiding nocturnal hypoglycemia (3).

Although a clear evidence that the benefits associated with the use of rtCGMs are strictly related to a near daily use (1, 4, 5), a constant rtCGM use remains problematic for many patients in the pediatric age group (6, 7). Indeed, a better glycemic control is achieved by patients who use rtCGM for the majority of time, generally considered to be 70% or more (1, 8). Nevertheless, recent data from the Type 1 Diabetes Exchange Clinic Registry still reports that only one third of T1D-affected youth regularly wears rtCGM, although there has been an increase of use from 2013 (4% of T1D youth) to 2015 (14%) and 2017 (31%) (9). Furthermore, rtCGM wearing declines significantly over-time among T1D users (10). Barriers to a regular rtCGM use in pediatrics are reported in the following Table:

Barrier Description
Physical barriers Pain due to sensor insertion, skin reactions to sensor, adhesive and lack of skin areas for sensor placement in young children (11, 12)
Clinical barriers Multiple alerts and alarms can lead to alarm fatigue
Education barriers A well-experienced diabetes team has to ensure a proper training for patients and families and a continuous support in problem solving on ways to break down barriers;
Financial barriers Lack of insurance coverage and high costs for rtCGM supplies (13)
Psychological barriers related to rtCGM Diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality, and quality of life (QoL).

A deeper understanding of the factors related to technologies uptake and adherence remains a crucial topic of investigation. In particular, studies on psychological factors that may predict sensor success or interruption are still limited. On the contrary, identifying psychological issues related to the sensor use would support both diabetologists in tailoring the best treatment for each patient, and youth and families in setting realistic expectations. The impact of rtCGM and isCGM on psychological outcomes in children and caregivers remains controversial (6, 14, 15). This may be due to the fact that psychological measures are usually considered as secondary outcomes in trials involving CGMs (Laffel LM 2020 JAMA, Massa GG 2019, JDRF-CGM Study Group, Diabetes Care 2010), compared to the metabolic control (HbA1c, hypoglycemia, CGM glucose metrics). Moreover, different questionnaires are used to assess the outcomes in the published studies. Also, each area of investigation (depression, fear of hypoglycemia, QoL) could be explored by different validated measures, self-reported or administered by health care providers, as summarized in Table 1 (1642).

Table 1.

Review of psychological measures in children used in the studies, sorted by outcome.

Construct Measure Self-report or proxy-report Number of items Score range Interpretation: ↑ score indicates
Diabetes Burden Problem Areas in Diabetes survey-Pediatric (PAID-Peds) (16); Problem Areas in Diabetes survey-Parent Revised (PAID-PR) (17) Youth self-report Parent self-report 20 (PAID-Peds), 18 (PAID-PR) 0–100 ↑ burden
The Diabetes Distress Scale (T1-DDS) (18) Parent self-report 28 Average of all 28 items, each rated on a 1–6 scale
Diabetes-Specific Family Conflict Diabetes Family Conflict Scale (DFCS) (19) Youth self-report Parent self-report 19 0–100 ↑ diabetes-specific family conflict
Parent Involvement Diabetes Family Responsibility Questionnaire (DFRQ) (20) Youth self-report Parent self-report 19 0–100 ↑ parent involvement
Depressive Symptoms Center for Epidemiologic Studies Depression Scale for Children (CES-DC) (21); Center for Epidemiologic Studies Depression Scale (CES-D) (22) Youth self-report Parent self-report 20 0–60 ↑ depressive symptoms
The Children's Depression Inventory (CDI) (23) Youth self-report 27 0–54
The Depression Anxiety Stress Scale (DASS) (24) Parent self-report 42 0–126
Patient Health Questionnaire depressive scale (PHQ-8) (25) Youth self-report 8 0–24
State Anxiety, Trait Anxiety Spielberger State-Trait Anxiety Inventory (STAI) (26, 27) Youth self-report Parent self-report 20 (state), 20 (trait) 20–60 ↑ anxiety
The Diabetes Worry Scale (DWS) (28) Youth self-report Parent self-report 50 50–250
Fear of Hypoglycemia Hypoglycemia Fear Survey—Worry scale (HFS) (29, 30) Youth self-report Parent self-report 15 0–100 ↑ fear of hypoglycemia
The Hypoglycemia Confidence Scale (HCS) (31) Parent self-report 9 0–36
Sleep quality The Pittsburgh Sleep Quality Index (PSQI) (32) Parent self-report 19 0–21 ↑ poor sleep quality
Youth QoL Pediatric Quality of Life Inventory (PedsQL)—Generic and Diabetes-specific (33, 34) Youth self-report Parent proxy-report 23 (generic), 28 (diabetes) 0–100 ↑ quality of life
Social Functioning Health Survey (SF-12) (35) Parent proxy-report 12 0–100
The WHO Five Well-Being Index (WHO-5) (36) Youth self-report Parent proxy-report 5 0–25
The Diabetes-Specific Quality of Life Scale (DSQOLS) (37) Parent proxy-report 64 0–320
The Diabetes Quality of Life Clinical Trial Questionnaire—Revised (DQLCTQ-R) (38) Parent proxy-report 57 0–100
The Appraisal of Diabetes Scale (ADS) (39) Parent proxy-report 7 7–35
Satisfaction with the CGM system The CGM Satisfaction Scale (CGM-SAT) (40) Youth self-report Parent self-report 44 44–220 ↑ satisfaction with CGM use
The Glucose Monitoring Survey (GMS) (40) Youth self-report Parent self-report 22 44–154
The Blood Glucose Monitoring Communication Questionnaire (BGMC) (41) Youth self-report Parent self-report 8 8–24
The Diabetes Treatment Satisfaction Questionnaire status (DTSQs) (42) Youth self-report Parent self-report 8 0–48

↑increased.

Aim

The aim of this systematic literature review is to explore the impact of rtCGM or isCGM on psychological outcomes (diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality, quality of life, and satisfaction with the CGM system) in children and caregivers and to grade the level of evidence.

Methods

Criteria for Study Selection

Types of Studies

We included RCTs, observational studies, prospective studies, cross-sectional studies, exploratory studies, mix of qualitative, and quantitative studies. We included only published studies.

Types of Participants

We included patients with T1D aged between 0 and 18 years and their caregivers.

Types of Interventions

We included the following comparisons:

Comparison 1: rtCGM on psychological outcomes (diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality and quality of life, satisfaction) vs. capillary glucose testing for glycemic assessment in children and caregivers;

Comparison 2: isCGM on psychological outcomes (diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality and quality of life, satisfaction) vs. capillary glucose testing for glycemic assessment in children and caregivers.

Comparison 3: rtCGM vs. isCGM on psychological outcomes (diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality and quality of life, satisfaction) in children and caregivers.

Outcomes

Psychological outcomes in children and caregivers included: diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality, quality of life, satisfaction.

A detailed description of outcomes and related measures is reported in Table 1 (1642).

Search Methods

We conducted a systematic search of the literature according to the PICOS model (Population, Intervention, Comparison, Results, Study design).

Population Pediatric patients (0–18 years old) with Type I diabetes and theirs caregivers
Intervention Use of Intermittently Scanned Continuous Glucose Monitoring (isCGM) or Real-Time Continuous Glucose Monitoring (rtCGM) Systems
Comparison Capillary blood glucose monitoring or isCGM
Results Variations in diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality, and QoL
Study design RCTs, observational studies, prospective studies, cross-sectional studies, exploratory studies, mix of qualitative, and quantitative studies

The study exclusion criteria were:

  • - patients >18 years; patients with Type II Diabetes;

  • - studies not meeting the established primary and secondary outcomes;

  • - animal research studies;

  • - devices: use of closed loop systems;

  • - reviews, conference abstracts, full texts not available.

We did not apply language restrictions.

Sources used for literature review included: PubMed, Embase, Cochrane Library, Web of Science, CINAHL, Nursing reference center, Up to date, Google Scholar, and PsycINFO.

Articles published from 1/01/2006 to 31/12/2020 were considered for the current review. Search terms, or “mesh” (MEdical Subject Headings) for this systematic review included: “CGM AND distress,” “CGM AND sleep quality,” “CGM AND psychological variables,” “Glucose monitoring AND distress,” “Glucose monitoring AND sleep quality,” “Glucose monitoring AND psychological variables,” “Flash glucose monitoring AND distress,” “Flash glucose monitoring AND sleep quality,” “Flash glucose monitoring AND psychological variables.”

According to the PICOS detailed above, filters for participants' age (0–18 years), and study characteristics were activated.

Data Extraction and Management

Two review authors independently extracted data by using the forms integrated in the sources' systems.

The following characteristics were reviewed for each included study:

  • reference aspects: authorship(s); published or unpublished; year of publication; year in which study was conducted; other relevant papers cited;

  • study characteristics: study design; type, duration; informed consent; ethics approval;

  • population characteristics: age, number of participants;

  • intervention characteristics: type, duration, mode of use of rtCGM and isCGM;

  • evaluation of the outcomes as reported in Table 1 (1642).

Disagreements were solved by discussion.

Assessment of the Certainty of the Evidence

We used the GRADE approach (Grading of Recommendations Assessment, Development and Evaluation) to rank the quality of a body of evidence (www.gradeworkinggroup.org) for the following outcomes: diabetes distress/burden, diabetes-specific family conflicts, depressive symptoms, anxiety, fear of hypoglycemia, alarm fatigue, impaired sleep quality, quality of life, and satisfaction with the rtCGM and the isCGM systems.

Two review authors independently assessed the certainty of the evidence for each of the outcomes above. In the case of risk of bias in the study design, imprecision of estimates, inconsistency across studies, indirectness of the evidence, and publication bias, we had the option of decreasing the level of certainty by one or two levels according the GRADE guidelines (43).

The GRADE approach results in an assessment of the certainty of a body of evidence and allocation to one of four grades:

High = Further research is very unlikely to change confidence in the estimate of effect.
Moderate = Further research is likely to have an important impact on confidence in the estimate of effect and may change the estimate.
Low = Further research is very likely to have an important impact on confidence in the estimate of effect and is likely to change the estimate.
Very low = Any estimate of effect is very uncertain.

Results

A total of 192 studies were identified following the literature review. After screening, we excluded 20 records as they were duplicates. When we reviewed titles and abstracts we excluded 112 records: 9 studies were published only in abstract form, 100 studies did not investigate the outcomes of interest (Table 1), 3 studies were not available in the full text form.

A total of 60 full-text manuscripts were assessed for eligibility: 27 studies were excluded as no data were available for the analysis, besides the ones reported in the abstracts; 4 studies were excluded as they reported data from the same cohort of patients; 4 studies were excluded as they resulted to be literature reviews when the full-texts were analyzed. A final number of 25 studies, 6 on isCGM, 19 on rtCGM, were included in this systematic review.

The PRISMA flow diagram in Figure 1 shows the process of study evaluation.

Figure 1.

Figure 1

Preferred Reporting Items for Systematic Reviews (PRISMA) flow diagram showing the progress of studies through the review.

A summary of results from the studies included in this systematic review is reported in Tables 2, 3.

Table 2.

Analysis of the 25 papers included in the systematic review.

References Main objective Characteristics Methodology Main results—outcomes Limits of the study and evidence level
Al Hayek et al. (44) Effect of isCGM on DRD 12-week prospective study 187 children and adolescents (13–19 years) with T1D, using the conventional fingerprick method. 31% were on CSII Region: Saudi Arabia At baseline sensors were fixed. T1-DDS (diabetes distress) questionnaire was administered at T0 and + 12 weeks T +12 weeks, in comparison to the baseline (fingerprick) showed significant decrease in all the seven the subdomains and in total T1-DDS (diabetes distress score). Increased frequency of glucose monitoring with isCGM. Substantial drop in HbA1c and in the frequency of hypoglycemia was observed. Lack of a control group; limited number of risk factors assessed.
- Moderate -
Boucher et al. (45) Early experiences with isCGM 4 week qualitative study 15 participants with T1D (age 13–20 years) Device: isCGM Region: New Zeeland Interviews 1-month from starting the isCGM. The interview analyzed: -Impacts of isCGM -Facilitators and challenges of using isCGM -Supporting patients in using isCGM Participants perceived isCGM to be easy to use and discrete. All participants reported that isCGM alleviated burden of managing diabetes.
Most (n = 12/15) participants perceived an improvement in their diabetes self-management.
Other benefits: Facilitate to do insulin all the time Improved concentration Increased physical activity Improved sleep: reduced nocturnal hyperglycemia and helps to identify how to prevent reoccurring nocturnal hypoglycemia Less parental conflict Reduces worry about glucose level Improved social life Barriers: the most common challenges of isCGM use were: premature sensor loss, forgetting to scan, skin irritation, technical problems. All participants anticipated continuing to use isCGM
This finding may not be generalizable to longer periods of use. The sample may not be representative of the general population
- Low -
Boucher et al. (46) Parental perspectives after isCGM start. Qualitative study
12 parents (age of children and adolescents with T1D: 13–20 years) Device: isCGM 11% of children used CSII Region: New Zeeland
A interview explored: -Impacts of isCGM -Facilitators/challenges of using isCGM -Supporting patients in using isCGM The following themes were identified:
(1) improved parental well-being: “peace of mind” while their adolescent slept; reduced diabetes-specific worry and improvement in sleep quality
(2) reduced diabetes-specific parent–child conflict
(3) facilitated parental role in management: easier to perform glucose checks; helped guide treatment decision
isCGM has the potential to reduce diabetes management burden for both adolescents and parents.
Barriers: premature sensor loss and sensor malfunction, isCGM costs.
Limitation were the small sample size. The parents included in this study were predominantly of European ethnicity and the findings may not apply to minority populations.
- Low -
Vesco et al. (47) Diabetes technology use on adolescent and DRD Cross-sectional study. Adolescents with T1D (12–18 years) and parents (N = 1,040; primarily mothers) 64% were on CSII, 11% rtCGM+CSII Region: USA Adolescents were categorized by technology use: rtCGM Alone, CSII Alone, rtCGM+CSII, or No Technology Adolescents (PAID-T) and parents (P-PAID-T) completed an online questionnaire Adolescents: rtCGM use was associated with less DRD compared to No Technology, rtCGM+CSII and CSII Alone
Parents: results were similar but with smaller effect size for parent-reported distress
rtCGM Alone was associated with lower HbA1c compared to No Technology CSII alone and CSII+rtCGM Alone was associated with lower HbA1c compared to No Technology. rtCGM+CSII gave advantage over CSII Alone.
The sample was composed of mostly Caucasian participants from higher income families which is not representative of all youth with T1D. Small number of participants in the rtCGM Alone technology use group.
- Moderate -
Erie et al. (48) rtCGM practices in homes and schools, attitudes and expectations of parents and caregivers Cross-sectional, using quantitative and qualitative methods Parents and daytime caregivers (school nurse, daycare teacher, nanny). Age of the children cared for by the respondents was 2–17 years 32 patients wore Dexcom® G4 or G5 sensors and 1 patient wore a Medtronic Enlite® Sensor Region: USA Anonymous survey assessing characteristics of rtCGM use 57 survey pairs were distributed. 33 parents and 17 daytime caregivers responded All parents and most caregivers (78%) reported decreased overall worry/stress. Parents felt positive about rtCGM use, it brought them peace of mind and a sense of security. Daytime caregivers felt comfortable with rtCGM and many of them felt that use of these systems allowed to work in a collaborative manner with parents to provide intensive diabetes management Frequency of sensor use was very high with 94% of respondents stating their child used the sensor 7 days a week Relatively small sample size and response rate of 58% amongst parents and 1/3 of daytime caregivers Respondents were extremely adherent to sensor technology
- Low -
Barnard et al. (49) Impact of diabetes-related technology in spouses and caregivers of people with T1D Survey, quantitative, and qualitative mix
100 parents/caregivers and 74 partners
83% of children and 72% of adults were on CSII
Participants were recruited via the Glu online community website. Online questions (PAID-5, WHO-5) and specific questions exploring the impact of technology High use of rtCGM in both groups-partners and parents/caregivers. Parents/caregivers reported more negative emotions and decreased well-being related to their family members T1D, compared to partners, DRD was common, as was sleep disturbance associated with device alarms and fear of hypoglycemia. 87% of partners and 66% of parents/caregivers rated their own QoL as good Disrupted sleep was commonly reported with 73% of parents/caregivers and 59% of partners reporting waking because of diabetes technology. Of these, 54% of parents/caregivers and 12% of partners reported waking at least 4 times a week. The main reasons reported were rtCGM alarms and fear of hypoglycemia. False alarms were uncommon with 26 and 23%, respectively. This study reaches only participants who are members of the Glu community (membership may be more tech savvy) as an online community
- Low -
Kashmer et al. (50) Characteristics of patients most willing to use rtCGM Exploratory study
Parents of children (0–18 years) with T1D responded to the online survey (no. 457)
70% used CSII
Region: USA
Online survey software was utilized to administer a 50-item questionnaire to parents of children with T1D. Primary outcomes were parental interest, attitudes and concerns Only 12% of parents whose child had previously used a rtCGM
Over 90% of the parents indicated a high level of interest in having their child use a rtCGM. Primary variables related to interest in rtCGM, were use of CSII, checking BG more than six times daily and parental worry about high or low BG. Age of the child and HbA1c were not related to parental interest in a rtCGM. Only a very few parents (6%) believed that using a rtCGM would increase their diabetes-related stress. Less than 2% of parents indicated believing that they would be overwhelmed Some (7%) were concerned that they would give too much or too little insulin if they saw glucose readings continuously.
The survey instrument was not formally validated.
- Low -
Burckhardt et al. (51) Effect of rtCGM with remote monitoring on psychosocial outcomes in parents of children with T1D RCT, two 3-month periods (participants spended 3 months in each of the two study arms)
49 children with T1D, 2–12 years, along with their parents
Participants “naïve” for rtCGM At the first visit and after each 3-month period, parents and children (aged 8–12 years) completed: HFS, PedsQL, DASS, STAI, PSQI, RTCGM-SAT The primary outcome was parental HFS Parental Hypoglycemia fear scores (HFS) were lower while the child was using rtCGM with remote monitoring. Parental health-related QoL and family functioning, stress, anxiety, and sleep measures also improved significantly after intervention Relatively small sample size
- Moderate -
Beck et al. (14) Impact of rtCGM on QoL among individuals with T1D Multicenter trial RCT, 26 weeks f/up
206 children and 228 adults with T1D
110 Children on rtCGM, 106 on capillary BG. Most on CSII
HFS, PAID, SF-12 questionnaires were completed at baseline and 26 weeks by all participants and by parents (<18 years old). The rtCGM-SAT was completed by the rtCGM group (participants and parents) at 26 weeks. Survey completion was high (rtCGM group: adults 98%, youth 93%, parents 97%; control group: 94–100%).
There was substantial satisfaction with rtCGM technology after 26 weeks among participants and parents. QoL scores remained largely unchanged for both the treatment and the control group, although there was a slight difference favoring the adult rtCGM group on several subscales High baseline levels of QoL were found in this population No variation in parental burden associated with diabetes
High baseline levels of QoL in the participants
who were predominantly non-Hispanic white, well-educated, privately insured,
and most commonly treated with insulin
pumps at enrollment
- High -
Giani et al. (13) Biomedical and psychosocial factors associated with rtCGM use 6 months observational study
61 T1D (8–17 years) and their parents 80% were treated with CSII Region: USA
At the first visit and after 6 months period, patients and their parents completed: HFS, DFRQ, DFCS, CES_D, STAI-CP, PAID, P-PAID, PedsQL There was no decline in any of the psychosocial factors At baseline parents of youth using rtCGM consistently reported higher QoL for their children than the parents of youth using rtCGM less often. Youth scores were lower than parent scores for parent fear of hypoglycemia, state anxiety, traitanxiety, and diabetes burden; were higher for youth generic QoL and youth diabetes-specific QoL Youth and parent scores were significantly positively correlated for parent involvement, diabetes-specific family conflict, diabetes burden, youth generic QoL and youth diabetes-specific QoL rtCGM use declined over the 6 months Modest sample size;
the study sample presented a large proportion of participants
treated with CSII and high frequency
of BG monitoring at baseline, relatively low HbA1c. Therefore, the results may not be generalizable to the
general population of youth with T1D.
- Moderate -
Markowitz et al. (52) Impact of rtCGM on psychological variables that may influence diabetes treatment adherence RCT Children (8–17 years old) and adults, randomized to the rtCGM or BGM group for 6 months. 86% were on CSII Region: USA 49 participants were enrolled and completed at 0 and 6 months: HFS, PedsQL, SF-12, CDI, CES-D, STAI, BGM, DFCS, PAID There were no differences in reported fear of hypoglycemia between rtCGM and BGM groups Parents in both groups reported significantly more FOH than youth. rtCGM youth and their parents and rtCGM adults reported more negative affect around BGM than the BGM group. rtCGM youth reported more trait anxiety than BGM youth, whereas rtCGM adults reported less state and trait anxiety than BGM adults. rtCGM parent-proxy report of depression was significantly higher than that reported by BGM parents. Reported levels of diabetes-specific family conflict were similar between groups. This study was not powered to find significant result Moderate
Messer et al. (53) Adolescent reported barriers to diabetes device use and to determine targets for clinician intervention Cross-sectional study
Survey on 411 adolescents (12–19 years) with T1D.
75% were on CSII
Region: USA
411 adolescents completed the survey. 225 (55%) were on rtCGM Online survey with PHQ-8, PAID-Peds, SEDM, and General Technology Attitudes Survey, the Diabetes Technology Attitudes Survey Barriers: cost/insurance related concerns; wear related issues: hassle of wearing the device, dislike of device on body Adolescents who endorsed more barriers also reported more diabetes distress, family conflict and depressive symptoms Pump and rtCGM discontinuers both endorsed more barriers and more negative perceptions of technology than current users, but reported no difference from device users in diabetes distress, family conflict, or depression. Potential underrepresentation of adolescents not using any diabetes technology or using intermittently scanned rtCGM
- Moderate -
Pickup et al. (54) To analyze narratives about experiences of real-time rtCGM in people with T1D Qualitative study
50 children with T1D (3–17 years) using rtCGM and 50 caregivers Most participants (87%) used rtCGM+CSII Region: UK
Online survey on rtCGM duration, frequency of sensor wear, funding and a free narrative about experiences or views about rtCGM. Qualitative framework analysis to analyze 100 responses was analyzed 71% used sensors ≥75% of the time Experiences were overwhelmingly positive, with reported improved -sleep: most participants who mentioned sleep (81%) wrote that they were able to sleep more easily, with less disturbance, FOH, and a feeling of safety, with rtCGM -QoL, and physical and psychological well-being (reduced stress for patient and caregiver, reassurance and security, more confidence and independence, improved energy, mood, and QoL)
-reduced frequency of SMBG
Barriers: sensor inaccuracy and unreliability, and “alarm fatigue.” The advantages of rtCGM used with CSII with PLGM were recorded by several participants, noting reduced hypoglycemia frequency and fear of nocturnal hypoglycemia.
Responses
were based on perception
Participants who were
funded might tend to be biased toward
the positive features of rtCGM to
justify the funding.
- Low -
Telo et al. (55) Patient and family behavioral and clinical characteristics associated with rtCGM Cross-sectional study
358 children with T1D (age 8–18 years)
Device: rtCGM
70% of patients with rtCGM used CSII, and 84% of controls
Region: USA
Youth and their parents completed: DMQ, DFCS, DFRQ, PedsQL. rtCGM group performed more frequent BGM; reported greater adherence to diabetes care; higher youth QoL; less diabetes-specific family conflict.
No differences with respect to parent involvement in diabetes management.
Patients who are already wearing CSII may be less reluctant
Only 28% of eligible youth who were approached for the rtCGM study agreed to wear a rtCGM device compared with 66% of the eligible general pediatric population who were approached. This probably because they recognized potential burdens related to current rtCGM technology.
- Moderate -
Ng et al. (56) Effects of rtCGM on patient and caregiver well-being, worry, fear of hypoglycemia and glycemic control. 12 months cohort study
16 children with T1D (age 2–17 years)
Device: rtCGM (Dexcom G4®)
All the patients were on pump therapy
Region: United Kingdom
Children aged >12 years completed the HFS Parents completed a modified version of the HFS-P12 Improvement in fear of hypoglycemia (FOH), for both parents and children, were observed. rtCGM gave to parents and children the confidence to modify treatment regimen and rtCGM improved their anxieties, fear, and worry. rtCGM improved the children's and their parents' well-being. After 8 months follow up, 5 patients used rtCGM intermittently and up to 58% were not using their rtCGM routinely. The small sample size limits transferability of the findings to the whole clinic population.
- Low -
Burckhardt et al. (57) rtCGM and psychosocial outcomes 2 months prospective cohort study
65 parents and 46 children with T1D (age 15 ± 1.81 years)
Some patients were treated with CSII.
Device: Dexcom® G5 and Medtronic Guardian Connect.
Approximately 70% of the participants were using systems with remote monitoring.
Region: Western Australia
To children over 12 years of age and their parents: HFS, PSQI, DTSQs, Gold Hypoglycemia awareness questionnaire after starting rtCGM Total parental Hypoglycemia Fear and worry decreased, no difference in children were observed.
Satisfaction regarding diabetes treatment improved both in parents and children
Frequency of overnight BG testing decreased significantly. The percentage of children with reduced awareness of hypoglycemia decreased.
Reported parental sleep quality improved
Parents reported to miss fewer work days
11 children stopped rtCGM because of: sensor connection issues, general dislike, sensor falling off during exercise and problems with sensor change.
The small sample size limits transferability of the findings to the whole clinic population. Moreover, rtCGM was discontinued due to technical issues and dislike of the system.
- Moderate -
Jaser et al. (58) Associations between rtCGM and child sleep, glycemic control and adherence, parent sleep and well-being, parental fear of hypoglycemia, and nocturnal caregiving behavior Descriptive observational study
515 parents of 2–12-year-old participants in the T1D Exchange clinic registry.
Device: rtCGM
80% used insulin pump
Surveys were emailed to parents: CSHQ, PSQI, HFS, WHO-5 questionnaires 67% of children met criteria for poor sleep quality. Child sleep was not related to the use of diabetes-related technology (rtCGM, insulin pump) Child sleep quality and duration was related to HbA1c but not to mean frequency of BG monitoring. Children with poor sleep quality were more likely to experience severe hypoglycemia and DKA. Poorer child sleep quality was associated with poorer parental sleep quality, parental well-being, and fear of hypoglycemia. Use of parent-report measures of child sleep
- Moderate -
Al Hayek et al. (59) Effect of isCGM on glycemic control, hypoglycemia, HTQoL, and FOH 3 months prospective study
47 youth with T1D (age 13–19 years)
Device: isCGM
38% of children used CSII
Region: Saudi Arabia
At the baseline and after 3 months validated questionnaires were administered: HFS-C, PedsQL 3.0 DM. isCGM scanning can effectively reduce fear of hypoglycemia (FOH), worry and HbA1c level. It also improves QoL.
The frequency of self-testing by isCGM is 8 times greater than in BGM by finger pricking. A higher frequency of isCGM scan positively correlates with behavior and QoL
Significant improvement in behavior, worry, and hypoglycemia among the CSII patients.
Small sample size and inclusion of only one center for study.
- Moderate -
Mauras et al. (6) rtCGM benefit in young children aged 4–9 years with T1D RCT, 26 weeks 146 children with T1D, 4–9 years 64% were on pumps Region: USA Participants were “naïve” for rtCGM
Parents completed at baseline and at 26 weeks: GMS, PAID, HFS, CGM-SAT The primary outcome was HbA1c
rtCGM wear was well-tolerated, and parental satisfaction with rtCGM was high. However, parental fear of hypoglycemia was not reduced.
rtCGM wear decreased over time
- High -
Laffel et al. (60) Effect of rtCGM on glycemic control and 20 secondary outcomes RCT
153 youth with T1D (age 14–24 years), HbA1c 7.5–10.9%
Device: rtCGM (Dexcom G5®) 70% of youth used CSII Region: USA
Youth completed at the baseline and after 26 weeks: PAID, HCS, PSQI rtCGM use gave reduction in the time spent in hyperglycemia and hypoglycemia; difference in the glucose monitoring satisfaction. No difference in diabetes problem areas, hypoglycemia confidence and sleep quality were reported.
The use of rtCGM device does not increased burden.
rtCGM used in the trial required twice-daily calibrations with BGM.
- High -
Lawton et al. (61) Participants' experiences using rtCGM. Qualitative study
15 children aged <12; 13–15; >16 years HbA1c 7.5–10%
9 parents
Device: Guardian™ Sensor 3, Medtronic 640G (100%)
Region: United Kingdom
Interview, after ≥4 weeks of rtCGM use, analyzed: Previous experience of using rtCGM and SMBG; understandings, expectations and impact on diabetes self-management; likes and dislikes of the technology; views about information and training needed to support effective use of rtCGM. Benefits deriving from the use of rtCGM:
-increased awareness about glycemic values
-instant and effortless access to data
-prevents hypoglycemia and hyperglycemia events
-short-term lifestyle changes (diet, physical activity)
-better understanding of how insulin, food and physical activity impact on BG levels.
-promote diabetes self-management
-high treatment satisfaction
Sleep quality: in some cases offered peace of mind that in target and stable BG control was being achieved and a better quality of sleep. Alarms have been identified as a factor causing decreased sleep quality and interrupted sleep.
Alarm fatigue: in general individuals reported clear clinical and psychological benefits to alarms alerting. Others noted how alarms could result in distractions in the workplace or at school.
Barriers: difficulty inserting and/or removing the device, finding a discreet place on the body to place it on, occasional signal loss and difficulties resulting from the need to regularly calibrate their devices (12 every hour).
However, all emphasized that the clinical and psychological benefits of rtCGM outweighed any challenges encountered.
Limited observation time; CSII population, the results may not be generalizable to those using insulin injection regimens.
- Low -
Sinisterra et al. (62) Sleep characteristics and nocturnal BGM (NBGM) Pediatric and parental HRQOL Relationship with RTCGM use. Prospective study, only baseline data are presented
46 parent-child dyads (age 2–5 years).
Device: rtCGM
Region: USA
Participants complete PedsQL Sleep quality was assessed with specific questions listed accelerometry devices were used to objectively measure child sleep for a subset of participants. rtCGM use:
-may be helpful for improving child sleep and QoL
-may assist child sleep duration by minimizing their wake periods throughout the night, given that parents are less likely to wake their child up for NBGM.
Parents of children on rtCGM reported a higher frequency of NBGM which may contribute to greater sleep disturbances.
This study does not include a validated parent-report sleep measure. Small sample size
- Moderate -
Diabetes Research in Children Network (DirecNet) Study Group (63) Psychological impact of clinical use of a rtCGM RCT, 6 months
A multi-center sample of 200 youths, aged 7–17 years, with T1D and their parents
46% were on CSII
Use of the GlucoWatch G2® Biographer (GW2B) as rtCGM
Region: USA
DSMP, DWS, PedsQL, CGM-SAT were administered at 0 and 6 months The DSMP was completed by telephone interview, the other on a tablet or personal computer Satisfaction with use of the GW2B was measured at end of study Little evidence that GW2B use resulted in either beneficial or adverse psychological effects on either parents or older youths.
GW2B use declined steadily during the study.
Better treatment adherence (DSMP) and quality of life (PedsQL) as reported by parents at baseline was associated with more frequent GW2B use during the study.
The study was designed with the assumption that GW2B use would be relatively stable over the 6-mo study period. This was not the case as GW2B use declined steadily during the study
The present study did not systematically assess how patients and parents used and responded to GW2B data
- Moderate -
Al Hayek et al. (64) Treatment satisfaction and sense of well-being with isCGM 12 weeks prospective cohort study
33 patients with T1D (age 14–21 years)
30% of children used CSII Device: isCGM Region: Saudi Arabia
At baseline and after 12 weeks: DTSQ and WHO-5 questionnaire At 12 weeks: improvements in treatment satisfaction and mental well-being scores were detected.
Improvements in the overall Diabetes treatment satisfaction questionnaire (DTSQ) score from baseline to 12 weeks.
The well-being percentage score showed a statistically significant difference in well-being (WHO-5).
Small sample size
- Moderate -
Pintus et al. (65) Metabolic outcomes and QoL in children that used isCGM. 12 months prospective observational study
52 children with T1D (age 5–18 years)
Device: isCGM
Region: United Kingdom
The Peds QL 3.2 questionnaire was used to assess QoL before and 3 months after the use of the system. PedsQL parent report was used for parents. The results demonstrated significant improvement in patient QoL, reduction of diabetes symptoms and treatment barriers.
The use of isCGM associated with structured education improves QoL and glycemic control of children and their family.
The small sample size, limited time in observing QoL (3 months), 31–42% of patients stopped using isCGM at 6 and 12 months.
- Moderate -

For each study, the analyzed “Psychological Outcome” is underlined.

Table 3.

Summary of the evidence: rtCGM and isCGM impact on psychological outcomes in children (and parents/caregivers where specified).

References Device Distress diabetes burden Diabetes family conflicts Depression Anxiety Fear/worry of hypo Sleep quality Alarm fatigue QoL/well-being Satisfaction
Al Hayek et al. (44) isCGM
Boucher et al. (45) isCGM
Boucher et al. (46) isCGM
parents
parents
Vesco et al. (47) rtCGM
parents
Erie et al. (48) rtCGM caregivers caregivers
Barnard et al. (49) rtCGM parents/caregivers parents/caregivers partners more than parents/caregivers
Kashmer et al. (50) rtCGM parents
Burckhardt et al. (51) rtCGM parents parents parents parents parents
Beck et al. (14) rtCGM
–caregivers


caregivers
caregivers
parents
Giani et al. (13) rtCGM

caregivers
Device: Guardian™ Sensor 3, Medtronic 640G (100%)

caregivers
caregivers
Markowitz et al. (52) rtCGM adults
adults

–adults
Messer et al. (53) rtCGM
Pickup et al. (54) rtCGM parents parents
Telo et al. (55) rtCGM
Ng et al. (56) rtCGM
parents

parents
Burckhardt et al. (57) rtCGM
parents
parents
parents
Jaser et al. (58) rtCGM parents
Al Hayek et al. (59) isCGM
Mauras et al. (6) rtCGM –parents parents
Laffel et al. (60) rtCGM
Lawton et al. (61) rtCGM
parents

Sinisterra et al. (62) rtCGM
parents
Diabetes Research in Children Network (DirecNet) Study Group (63) rtCGM
Al Hayek et al. (64) isCGM
Pintus et al. (65) isCGM
parents

, reduced; , increased; –, no variation; ↑↓, heterogeneity in the response.

Distress/Diabetes Burden

This outcome is analyzed in 3 studies on isCGM use and in 12 studies on rtCGM use in youth and their caregivers.

In pediatric patients isCGM reduced psychological distress for all the domains analyzed during a 12-weeks prospective study in children/adolescents [(44), Moderate] and in a 4-weeks qualitative study in adolescents/young adults [(45), Low]. This effect was reported also in parents of children and adolescents in a qualitative study [(46), Low].

RtCGM reduced diabetes burden in adolescent patients according to a cross-sectional study [(47), Moderate]. A similar effect was described for caregivers in five studies [(4850), Low, (47, 51), Moderate]. In two studies no variation in diabetes burden was found both in children and caregivers [(13, 14), High-Moderate]. Broad effects were highlighted in three studies [(5254), Moderate-Low].

Family Conflict in the Management of Diabetes

This outcome is measured in 2 studies on isCGM use and in 5 studies on rtCGM use in youth and their caregivers.

IsCGM use was associated with a reduction in diabetes specific parent-child conflict and parental conflict in patients aged 13–20 years in 2 qualitative studies [(45, 46), Low].

RtCGM use was associated with both a reduction in family conflicts and an improvement in rtCGMs related family functioning in 2 studies included in the review [(51, 55), Moderate]. These benefits were related to a decrease in the workload associated to blood glucose monitoring (BGM) and to an increased sense of safety [(51), Moderate]. In a RCT very similar levels of family conflict between the intervention group (rtCGM) and the control group (BGM) were found [(52), Moderate]. In other two studies no differences in family conflict were reported after the initiation of rtCGM use [(13, 53), Moderate]. The perception of a high number of obstacles and barriers related to the use of rtCGM sensors is related to a greater number of family conflicts and difficulties in managing the disease [(53), Moderate].

Depression

Depression in youth using rtCGM is evaluated in two studies. In a cross-sectional study on rtCGM use in adolescents, more depressive symptoms were reported by those who faced more barriers [(53), Moderate]. In a RCT in children 8–17 years old, rtCGM parent-proxy report of depression was significantly higher than that reported by BGM parents [(52), Moderate]. Data on depression in youths using isCGM are lacking.

Anxiety

This outcome is measured in 3 studies on rtCGM use in youth. In a RCT evaluating children in the age 2–12 years and their parents, parental stress level was lower in the arm using rtCGM compared to the control group (51, Moderate). In another study including 16 children aged 2–17 years, rtCGM use was associated with an improvement in children and parents' anxieties [(56), Low].

In a RCT study, the group of youth with rtCGM reported more trait anxiety than BGM youth, whereas rtCGM adults reported less state and trait anxiety than BGM adults [(52), Moderate].

Data on anxiety in youths using isCGM are lacking.

Fear/Worry of Hypoglycemia

This outcome is measured in 1 study on isCGM use and in 14 studies on rtCGM use in youth.

Fear of hypoglycemia (FOH) was reduced by isCGM use in adolescents older than 12 years in a 3-month prospective study [(59), Moderate]. Similarly, rtCGM use reduced FOH in 16 children aged 2–12 years in a 12-month cohort study [(56), Low]. Likewise, fear associated with hypoglycemic events resulted significantly lower in parents of youth using rtCGM in several studies [(51, 57, 58), Moderate, (56), Low]. RtCGM reduced the fear of nocturnal hypoglycemia in youth when integrated with a pump that automatically suspend insulin delivery in case of hypoglycemia [(54), Low].

On the contrary, in several studies no differences were found in FOH in both youth using rtCGM/isCGM [(13, 14, 52, 57), Moderate-High] and their caregivers [(6, 13, 14, 52, 60), Moderate-High]. The fear of hypoglycemic events resulted higher in parents than in children [(52), Moderate] although the sensor use. This is probably related to the fact that not all parents have full confidence in rtCGM systems: some parents are worried that the sensor may not work properly and it does not intercept hypoglycemic events [(53), Moderate].

Sleep Quality

This outcome is measured in 7 studies on rtCGM use in youth. In an observational study, overall 67% of children with T1D met the criteria for poor sleep quality; a worse child sleep quality was associated with worse metabolic control and poorer parental sleep quality. Child sleep was not related to the use of diabetes-related technology (rtCGM, insulin pump) [(58), Moderate]. About caregivers, most experimented better sleep patterns with rtCGM [(51, 54), Low-Moderate], while others reported disturbed sleep due to the presence of alarms and to the fear of hypoglycemia [(49), Low].

In a qualitative study, 9 pairs of children and parents reported improved sleep quality with the sensor use [(61), Low]. A prospective study on 46 children and their parents found that kids who used rtCGM experienced fewer sleep disturbances than those who did not, but their parents had greater sleep disturbances related to a higher frequency of nocturnal blood glucose monitoring (NBGM) [(62), Moderate]. A RCT on youth aged 14–24 years using rtCGM, reported there were no differences in sleep quality between sensors users and non-users [(60), High]. Data on sleep quality in youths using isCGM are lacking.

Alarm Fatigue

This outcome is measured in 5 studies on rtCGM use in youth. Parents of children aged 3–17 years using rtCGM reported both positive and negative responses for alarms: helpful when signaling hypoglycemia but annoying when repeatedly sounding during the night; thus, most parents reported they would like to louder alarms [(54), Low]. In a qualitative study, most parents reported clear clinical and psychological benefits associated with alarms alerting, but others noted that alarms could interfer with daily activities in the workplace or at school [(61), Low]. While alarms could reinforce a sense of hypoglycemic safety, some individuals expressed ambivalent views, especially those who perceived alarms as signaling personal failure to achieve optimal glycemic control [(61), Low]. Two additional studies included in the review highlighted that alarms can often cause annoyance and discomfort [(53, 63), Moderate].

Day caregivers, teachers or school nurses, generally appreciate alarm systems and these are not perceived as a source of distraction or disturbance but as a tool that simplifies the management of the disease [(48), Low].

Quality of Life/Well-Being

Four studies reported on this outcome in patients with isCGM, as well as 9 studies in patients with rtCGM. The use of isCGM has been reported to improve QoL in children and adolescents [(59, 64), Moderate] as well as in their parents [(46, 65), Moderate-Low].

RtCGM systems has been reported to improve QoL in children, for easier management of insulin dosages, diet, physical activity and in school and extra-home management [(54, 55, 62), Moderate-Low]. Similarly, in parents of youths, rtCGM has been reported to improve QoL and well-being [(51, 56), Moderate-Low].

In 3 studies included in this review no variations in QoL were found after rtCGM intervention [(13, 14, 63), Moderate-High] in youths and their parents.

Parents scores regarding the QoL are significantly higher (indicative of a less favorable QoL) than the youth's one, confirming that the perception of parents regarding the QoL of their children is less favorable than the prospects of youth regarding their QoL [(63), Moderate]. Moreover, parents/caregivers compared to partners, reported more negative emotions and decreased well-being related to their family members with T1D [(49), Low].

Satisfaction

This outcome is measured in 7 studies on rtCGM use in youth. Most patients using rtCGM and their parents reported high treatment-related satisfaction [(49, 57, 61), Low-Moderate].

Three RCTs of high quality confirmed the satisfaction with rtCGM use (6, 14, 60). In the first RCT, 90% of parents of 4–9 years old children, reported a high degree of satisfaction with rtCGM: the use of rtCGM makes adjusting insulin easier, shows patterns in blood glucose not seen before, and makes them feel safer knowing that they will be warned about low blood glucose before it happens [(6), High]. In the second RCT, patients aged 14–24 years using rtCGM, reported higher glucose monitoring satisfaction compared to the BGM group over a 26-weeks study period [(60), High]. In the third RCT, in patients aged 7–17 years, satisfaction scores at 26 weeks were higher for both, youths and parents, with higher scores associated with a more frequent use of rtCGM [(14), High].

In a cross-sectional study using qualitative and quantitative methods, parents and caregivers of children aged 2–17 years, felt positive about rtCGM use [(48), Low].

Data on satisfaction in youths using isCGM are lacking.

Discussion And Conclusions

A large percentage of pediatric patients with T1D experiences negative emotions, including state of anxiety, fear, discouragement, and frustration for the burden of the disease management. The use of CGM systems improves glycemic control (60) but demands for extra efforts from patients and their parents. Therefore, it is important to assess if the use of rtCGM and isCGM systems is related to psychological issues (52).

Studies on how isCGM and rtCGM impact the psychological outcomes in children and their caregivers were evaluated in this systematic review. Some limitations of the revised studies need to be addressed (Table 2):

(i) the sample size resulted small or not representative of the general population is some studies; (ii) psychological measures were included as secondary outcomes in most of the studies; thus, in some cases, the study design was not adequate to support significant results; (iii) some of the questionnaires used to measure the psychological outcomes were not previously validated. Also, questionnaires varied from one study to another.

Data on psychological outcomes in the pediatric population using isCGM systems are still limited, probably due to their recent availability on the market. The use of isCGM in adolescents can reduce psychological distress, family conflicts and fear of hypoglycemia (44, 59) and improves QoL (59, 65) as reported by a Saudi Arabia group (44) in moderate quality studies. Currently, there is no evidence of a negative impact of the isCGM system on the psychological outcomes evaluated in this review. However, results from our literature review highlighted the lack of data on depression, anxiety, and quality of sleep in pediatric patients using isCGM.

Most of the studies reported that the use of rtCGM did not increase diabetes burden in adolescents and their parents/caregivers with a moderate-high quality of evidence and using the PAID-T and P-PAID-T questionnaires (6, 13, 14, 52, 60). Likewise, rtCGM did not impact the diabetes specific family conflict, as measured by DFRQ and DFCS questionnaires in a moderate quality study (13, 52). Furthermore, rtCGM did not change depressive symptoms assessed with CDI, CES-D (13), and PHQ8 questionnaires (53).

On the other hand, rtCGM resulted improving parental anxiety in a moderate quality RCT using the STAI questionnaire by Burckhardt et al. (51). However, these results were not confirmed in a moderate quality observational study using the same questionnaire, by Giani et al. (13).

Fear of hypoglycemia remains the most common diabetes-related issue among T1D, both for youth and their parents/caregivers. In a RCT (51), parental fear of hypoglycemia (FOH) evaluated by the HFS score resulted lower in the group using rtCGM. However, other moderate-high quality studies using the HFS and HCS questionnaire did not confirm this outcome (6, 13, 14, 60).

In a RCT, adolescents' sleep quality measured with the PSQI questionnaire was not different in youth using rtCGM (60). On the contrary, parental sleep quality improved with the use of rtCGM, both when measured with the PSQI questionnaire as well by accelerometry devices in parents of adolescents and of young children, respectively (62).

Alarm fatigue was broadly evaluated in patients using rtCGM by non-validated interviews. In most cases, individuals reported clear clinical and psychological benefits to alarms setting (61), but in some contexts alarms resulted annoying and intrusive (53).

In most of the studies the perceived QoL assessed by the PedsQL in patients and caregivers, resulted improved by the use of rtCGM (55, 62). In some other studies no variations in the PedsQL were reported (13, 14), probably due to the number of variables that may influence the perceived QoL in diabetes or due to the short-term follow-up. An increased satisfaction related with the rtCGM use was assessed in both parents and youth with the DTSQ, CGM-SAT, and GMS questionnaires in moderate-high quality studies (6, 14, 51, 60).

In conclusion, the benefits of isCGM and rtCGM use on glycemic control have been previously demonstrated (1, 2, 66, 67). Findings from the studies included in this systematic review suggest that: (i) the use of isCGM in adolescents can improve diabetes related distress, family conflicts, FOH and perceived QoL; depression, anxiety, and quality of sleep have not yet been evaluated with validated questionnaires; (ii) the use of rtCGM does not impact diabetes burden, diabetes specific family conflict and depressive symptoms. The effect of rtCGM use on the fear of hypoglycemia, the sleep quality and the anxiety is still debated. Further RCT studies specifically powered to investigate psychological outcomes are needed. The use of rtCGM increases both satisfaction and perceived QoL in youth and their parents, although alarm fatigue need to be prevented with alarm targeting.

Altogether, these findings represent an interesting overview to consider when families are in the process of deciding whether or not to start CGM use.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author Contributions

RF and FM made a substantial contribution to the design of this literature review, in the acquisition of data, and their interpretation and analysis as well as in the writing of the manuscript. FM and RF selected the articles of this literary review. VC, MS, EM, and EG contributed to the critical revision of the manuscript for intellectual reasons and performed a thorough proofreading of the manuscript. All the authors have definitely approved the version to publish.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Glossary

Abbreviations

T1D

type 1 diabetes

DRD

diabetes related distress

FOH

fear of hypoglycemia

QoL

quality of Life

HRQoL

health related quality of life

BG

blood glucose

BGM

blood glucose monitoring

isCGM

intermittently scanned/viewed CGM

CGM

continuous glucose monitoring

FGM

flash glucose monitoring

CSII

Continuous subcutaneous insulin infusion

PLGM

predictive low glucose management.

References

  • 1.Pickup JC, Freeman SC, Sutton AJ. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data. BMJ. (2011) 343:d3805. 10.1136/bmj.d3805 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Evans M, Welsh Z, Ells S, Seibold A. The impact of flash glucose monitoring on glycaemic control as measured by HbA1c: a meta-analysis of clinical trials and real-world observational studies. Diabetes Ther. (2020) 11:83–95. 10.1007/s13300-019-00720-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Slover RH, Welsh JB, Criego A, Weinzimer SA, Willi SM, Wood MA, et al. Effectiveness of sensor-augmented pump therapy in children and adolescents with type 1 diabetes in the STAR 3 study. Pediatr Diabetes. (2012) 13:6–11. 10.1111/j.1399-5448.2011.00793.x [DOI] [PubMed] [Google Scholar]
  • 4.Battelino T, Conget I, Olsen B, Schütz-Fuhrmann I, Hommel E, Hoogma R, et al. The use and efficacy of continuous glucose monitoring in type 1 diabetes treated with insulin pump therapy: a randomised controlled trial. Diabetologia. (2012) 55:3155–62. 10.1007/s00125-012-2708-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group . Effectiveness of continuous glucose monitoring in a clinical care environment: evidence from the Juvenile Diabetes Research Foundation continuous glucose monitoring (JDRF-CGM) trial. Diabetes Care. (2010) 33:17–22. 10.2337/dc09-1502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mauras N, Beck R, Xing D, Ruedy K, Buckingham B, Tansey M. A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to <10 years. Diabetes Care. (2012) 35:204–10. 10.2337/dc11-1746 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tsalikian E, Fox L, Weinzimer S, Buckingham B, White NH, Beck R, et al. Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes. Pediatr Diabetes. (2012) 13:301–7. 10.1111/j.1399-5448.2011.00837.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Chase HP, Beck RW, Xing D, Tamborlane WV, Coffey J, Fox LA, et al. Continuous glucose monitoring in youth with type 1 diabetes: 12-month follow-up of the Juvenile Diabetes Research Foundation continuous glucose monitoring randomized trial. Diabetes Technol Ther. (2010) 12:507–15. 10.1089/dia.2010.0021 [DOI] [PubMed] [Google Scholar]
  • 9.Miller KM, Hermann J, Foster N, Hofer SE, Rickels MR, Danne T, et al. Longitudinal changes in continuous glucose monitoring use among individuals with type 1 diabetes: international comparison in the German and Austrian DPV and U.S. T1D Exchange Registries. Diabetes Care. (2020) 43:e1–2. 10.2337/dc19-1214 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Beck RW, Buckingham B, Miller K, Wolpert H, Xing D, Block JM, et al. Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes. Diabetes Care. (2009) 32:1947–53. 10.2337/dc09-0889 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Englert K, Ruedy K, Coffey J, Caswell K, Steffen A, Levandoski, et al. Skin and adhesive issues with continuous glucose monitors: a sticky situation. J Diabetes Sci Technol. (2014) 8:745–51. 10.1177/1932296814529893 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Heinemann L, Kamann S. Adhesives used for diabetes medical devices: a neglected risk with serious consequences? J Diabetes Sci Technol. (2016) 10:1211–5. 10.1177/1932296816662949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Giani E, Snelgrove R, Volkening LK, Laffel LM. Continuous glucose monitoring (CGM) adherence in youth with type 1 diabetes: associations with biomedical and psychosocial variables. J Diabetes Sci Technol. (2017) 11:476–83. 10.1177/1932296816676280 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Beck RW, Lawrence JM, Laffel L, Wysocki T, Xing D, Huang ES, et al. Quality-of-life measures in children and adults with type 1 diabetes: Juvenile Diabetes Research Foundation Continuous Glucose Monitoring randomized trial. Diabetes Care. (2010) 33:2175–7. 10.2337/dc10-0331 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Patton SR, Clements MA. Psychological reactions associated with continuous glucose monitoring in youth. J Diabetes Sci Technol. (2016) 10:656–61. 10.1177/1932296816638109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Markowitz JT, Volkening LK, Butler DA, Laffel LM. Youth-perceived burden of type1diabetes: problem areas in diabetes survey-pediatric version (PAID-Peds). J Diabetes Sci Technol. (2015) 24:1080–5. 10.1177/1932296815583506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Markowitz JT, Volkening LK, Butler DA, Antisdel-Lomaglio J, Anderson BJ, Laffel LM. Re-examining a measure of diabetes-related burden in parents of young people with type 1 diabetes: the Problem Areas in Diabetes Survey - Parent Revised version (PAID-PR). Diabet Med. (2012) 29:526–30. 10.1111/j.1464-5491.2011.03434.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Fisher L, Polonsky WH, Hessler DH, Masharani U, Blumer I, Peters AL, et al. Understanding the sources of diabetes distress in adults with type 1 diabetes. J Diabetes Compl. (2015) 29:572–7. 10.1016/j.jdiacomp.2015.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Hood KK, Butler DA, Anderson BJ, Laffel LMB. Updated and revised diabetes family conflict scale. Diabetes Care. (2007) 30:1764–9. 10.2337/dc06-2358 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Anderson BJ, Auslander WF, Jung KC, Miller JP, Santiago JV. Assessing family sharing of diabetes responsibilities. J Pediatr Psychol. (1990) 15:477–92. 10.1093/jpepsy/15.4.477 [DOI] [PubMed] [Google Scholar]
  • 21.Fendrich M, Weissman MM, Warner V. Screening for depressive disorder in children and adolescents: validating the Center for Epidemiologic Studies Depression Scale for Children. Am J Epidemiol. (1990) 131:538–51. 10.1093/oxfordjournals.aje.a115529 [DOI] [PubMed] [Google Scholar]
  • 22.Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psych Meas. (1977) 1:385–401. 10.1177/01466216770010030623302475 [DOI] [Google Scholar]
  • 23.Kovacs M. The children's depression, inventory (CDI). Psychopharmacol Bull. (1985) 21:995–8. [PubMed] [Google Scholar]
  • 24.Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples. Behav Res Ther. (1997) 35:79–89. 10.1016/S0005-7967(96)00068-X [DOI] [PubMed] [Google Scholar]
  • 25.Kroenke K, Strine TW, Spitzer RL, Williams JB, Berry JT, Mokdad AH. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. (2009) 114:163–73. 10.1016/j.jad.2008.06.026 [DOI] [PubMed] [Google Scholar]
  • 26.Spielberger CD. Manual for the State-Trait Anxiety Inventory for Children. Palo Alto, CA: Consulting Psychologists Press; (1973). [Google Scholar]
  • 27.Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Test Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; (1983). [Google Scholar]
  • 28.Wysocki T, Hough BS, Ward KM, Allen A, Murgai N. Use of blood glucose data by families of children and adolescents with IDDM. Diabetes Care. (1992) 15:1041–4. 10.2337/diacare.15.8.1041 [DOI] [PubMed] [Google Scholar]
  • 29.Green LB, Wysocki T, Reineck BM. Fear of hypoglycemia in children and adolescents with diabetes. J Pediatr Psychol. (1990) 15:633–41. 10.1093/jpepsy/15.5.633 [DOI] [PubMed] [Google Scholar]
  • 30.Clarke WL, Gonder-Frederick A, Snyder AL, Cox DJ. Maternal fear of hypoglycemia in their children with insulin dependent diabetes mellitus. J Pediatr Endocrinol Metab Suppl. (1998) 1:189–94. 10.1515/JPEM.1998.11.S1.189 [DOI] [PubMed] [Google Scholar]
  • 31.Polonsky WH, Fisher L, Hessler D, Edelman SV. Investigating hypoglycemic confidence in type 1 and type 2 diabetes. Diabetes Technol Ther. (2017) 19:131–6. 10.1089/dia.2016.0366 [DOI] [PubMed] [Google Scholar]
  • 32.Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. (1989) 28:193–213. 10.1016/0165-1781(89)90047-4 [DOI] [PubMed] [Google Scholar]
  • 33.Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care. (2001) 39:800–12. 10.1097/00005650-200108000-00006 [DOI] [PubMed] [Google Scholar]
  • 34.Varni JW, Burwinkle TM, Jacobs JR, Gottschalk M, Kaufman F, Jones KL. The PedsQL in type 1 and type 2 diabetes: reliability and validity of the Pediatric Quality of Life Inventory Generic Core Scales and type 1 Diabetes Module. Diabetes Care. (2003) 26:631–7. 10.2337/diacare.26.3.631 [DOI] [PubMed] [Google Scholar]
  • 35.Ware JE, Jr. Identifying populations at risk: functional impairment and emotional distress. Manag Care. (2002) 11(10 Suppl.):15–7. [PubMed] [Google Scholar]
  • 36.Topp CW, Ostergaard SD, Sondergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom. (2015) 84:167–76. 10.1159/000376585 [DOI] [PubMed] [Google Scholar]
  • 37.Bott U, Mühlhauser I, Overmann H, Berger M. Validation of a diabetes-specific quality-of-life scale for patients with type 1 diabetes. Diabetes Care. (1998) 21:757–69 10.2337/diacare.21.5.757 [DOI] [PubMed] [Google Scholar]
  • 38.Shen W, Kotsanos JG, Huster WJ, Mathias SD, Andrejasich CM, Patrick DL. Development and validation of the Diabetes Quality of Life Clinical Trial Questionnaire. Med Care. (1999) 37(4 Suppl.):AS45–66. 10.1097/00005650-199904001-00008 [DOI] [PubMed] [Google Scholar]
  • 39.Carey MP, Jorgensen RS, Weinstock RS, Sprafkin RP, Lantinga LJ, Carnrike CL, Jr, et al. Reliability and validity of the appraisal of diabetes scale. J Behav Med. (1991) 14:43–51. 10.1007/BF00844767 [DOI] [PubMed] [Google Scholar]
  • 40.Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group . Validation of measures of satisfaction with and impact of continuous and conventional glucose monitoring. Diabetes Technol Ther. (2010) 12:679–84. 10.1089/dia.2010.0015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Hood KK, Butler DA, Volkening LK, Anderson BJ, Laffel LM. The Blood Glucose Monitoring Communication questionnaire: an instrument to measure affect specific to blood glucose monitoring. Diabetes Care. (2004) 27:2610–5. 10.2337/diacare.27.11.2610 [DOI] [PubMed] [Google Scholar]
  • 42.Bradley C. The diabetes treatment satisfaction questionnaire: DTSQ. In: Bradley C, editor. Handbook of Psychology and Diabetes: A Guide to Psychological Measurement in Diabetes Research and Practice. Chur: Harwood Academic Publishers; (1994). p. 111–32. [Google Scholar]
  • 43.Schünemann HJ, Cuello C, Akl EA, Mustafa RA, Meerpohl JJ, Thayer K, et al. GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. J Clin Epidemiol. (2019) 111:105–14. 10.1016/j.jclinepi.2018.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Al Hayek AA, Robert AA, Al Dawish MA. Effectiveness of the freestyle libre flash glucose monitoring system on diabetes distress among individuals with type 1 diabetes: a prospective study. Diabetes Ther. (2020) 11:927–37. 10.1007/s13300-020-00793-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Boucher S, Blackwell M, Galland B, de Bock M, Crocket H, Wiltshire E, et al. Initial experiences of adolescents and young adults with type 1 diabetes and high-risk glycemic control after starting flash glucose monitoring - a qualitative study. J Diabetes Metab Disord. (2019) 19:37–46. 10.1007/s40200-019-00472-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Boucher SE, Aum SH, Crocket HR, Wiltshire EJ, Tomlinson PA, de Bock MI, et al. Exploring parental perspectives after commencement of flash glucose monitoring for type 1 diabetes in adolescents and young adults not meeting glycaemic targets: a qualitative study. Diabet Med. (2020) 37:657–64. 10.1111/dme.14188 [DOI] [PubMed] [Google Scholar]
  • 47.Vesco AT, Jedraszko AM, Garza KP, Weissberg-Benchell J. Continuous glucose monitoring associated with less diabetes-specific emotional distress and lower A1c among adolescents with type 1 diabetes. J Diabetes Sci Technol. (2018) 12:792–9. 10.1177/1932296818766381 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Erie C, Van Name MA, Weyman K, Weinzimer SA, Finnegan J, Sikes K, et al. Schooling diabetes: use of continuous glucose monitoring and remote monitors in the home and school settings. Pediatr Diabetes. (2018) 19:92–7. 10.1111/pedi.12518 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Barnard K, Crabtree V, Adolfsson P, Davies M, Kerr D, Kraus A, et al. Impact of type 1 diabetes technology on family members/significant others of people with diabetes. J Diabetes Sci Technol. (2016) 10:824–30. 10.1177/1932296816645365 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Kashmer L, Clarke W, Gurka M, Elchuri S, Nyer M, Gonder-Frederick L. Predictors of parental interest in continuous glucose monitoring for children with type 1 diabetes. Diabetes Technol Ther. (2009) 11:373–8. 10.1089/dia.2008.0100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Burckhardt MA, Roberts A, Smith GJ, Abraham MB, Davis EA, Jones TW. The use of continuous glucose monitoring with remote monitoring improves psychosocial measures in parents of children with type 1 diabetes: a randomized crossover trial. Diabetes Care. (2018) 41:2641–3. 10.2337/dc18-0938 [DOI] [PubMed] [Google Scholar]
  • 52.Markowitz JT, Pratt K, Aggarwal J, Volkening LK, Laffel LM. Psychosocial correlates of continuous glucose monitoring use in youth and adults with type 1 diabetes and parents of youth. Diabetes Technol Ther. (2012) 14:523–6. 10.1089/dia.2011.0201 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Messer LH, Tanenbaum ML, Cook PF, Wong JJ, Hanes SJ, Driscoll KA, et al. Cost, hassle, and on-body experience: barriers to diabetes device use in adolescents and potential intervention targets. Diabetes Technol Ther. (2020) 10:760–7. 10.1089/dia.2019.0509 [DOI] [PubMed] [Google Scholar]
  • 54.Pickup JC, Ford Holloway M, Samsi K. Real-time continuous glucose monitoring in type 1 diabetes: a qualitative framework analysis of patient narratives. Diabetes Care. (2015) 38:544–50. 10.2337/dc14-1855 [DOI] [PubMed] [Google Scholar]
  • 55.Telo GH, Volkening LK, Butler DA, Laffel LM. Salient characteristics of youth with type 1 diabetes initiating continuous glucose monitoring. Diabetes Technol Ther. (2015) 17:373–8. 10.1089/dia.2014.0290 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ng SM, Moore HS, Clemente MF, Pintus D, Soni A. Continuous glucose monitoring in children with type 1 diabetes improves well-being, alleviates worry and fear of hypoglycemia. Diabetes Technol Ther. (2019) 21:133–7. 10.1089/dia.2018.0347 [DOI] [PubMed] [Google Scholar]
  • 57.Burckhardt MA, Abraham MB, Mountain J, Coenen D, Paniora J, Clapin H, et al. Improvement in psychosocial outcomes in children with type 1 diabetes and their parents following subsidy for continuous glucose monitoring. Diabetes Technol Ther. (2019) 21:575–80. 10.1089/dia.2019.0149 [DOI] [PubMed] [Google Scholar]
  • 58.Jaser SS, Foster NC, Nelson BA, Kittelsrud JM, DiMeglio LA, Quinn M, et al. Sleep in children with type 1 diabetes and their parents in the T1D Exchange. Sleep Med. (2017) 39:108–15. 10.1016/j.sleep.2017.07.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Al Hayek AA, Robert AA, Al Dawish MA. Evaluation of FreeStyle Libre Flash Glucose Monitoring System on glycemic control, health-related quality of life, and fear of hypoglycemia in patients with type 1 diabetes. Clin Med Insights Endocrinol Diabetes. (2017) 10:10. 10.1177/1179551417746957 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Laffel LM, Kanapka LG, Beck RW, Bergamo K, Clements MA, Criego A, et al. Effect of continuous glucose monitoring on glycemic control in adolescents and young adults with type 1 diabetes: a randomized clinical trial. JAMA. (2020) 323:2388–96. 10.1001/jama.2020.6940 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Lawton J, Blackburn M, Allen J, Campbell F, Elleri D, Leelarathna L, et al. Patients' and caregivers' experiences of using continuous glucose monitoring to support diabetes self-management: qualitative study. BMC Endocr Disord. (2018) 18:12. 10.1186/s12902-018-0239-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Sinisterra M, Hamburger S, Tully C, Hamburger E, Jaser S, Streisand R. Young children with type 1 diabetes: sleep, health-related quality of life, and continuous glucose monitor use. Diabetes Technol Ther. (2020) 22:639–42. 10.1089/dia.2019.0437 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Diabetes Research in Children Network (DirecNet) Study Group . Psychological aspects of continuous glucose monitoring in pediatric type 1 diabetes. Pediatr Diabetes. (2006) 7:32–8. 10.1111/j.1399-543X.2006.00142.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Al Hayek AA, Al Dawish MA. The potential impact of the freestyle libre flash glucose monitoring system on mental well-being and treatment satisfaction in patients with type 1 diabetes: a prospective study. Diabetes Ther. (2019) 10:1239–48. 10.1007/s13300-019-0616-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Pintus D, Ng SM. Freestyle libre flash glucose monitoring improves patient quality of life measures in children with Type 1 diabetes mellitus (T1DM) with appropriate provision of education and support by healthcare professionals. Diabetes Metab Syndr. (2019) 13:2923–6. 10.1016/j.dsx.2019.07.054 [DOI] [PubMed] [Google Scholar]
  • 66.Gruppo di studio SIEDP sul diabete in età pediatrica . Raccomandazioni sull'utilizzo della tecnologia in diabetologia pediatrica 2019. Acta Biomed. (2019) 90:5–88. [Google Scholar]
  • 67.Massa GG, Gys I, Bevilacqua E, Wijnands A, Zeevaert R. Comparison of flash glucose monitoring with real time continuous glucose monitoring in children and adolescents with type 1 diabetes treated with continuous subcutaneous insulin infusion. Diabetes Res Clin Pract. (2019) 152:111–8. 10.1016/j.diabres.2019.05.015 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.


Articles from Frontiers in Pediatrics are provided here courtesy of Frontiers Media SA

RESOURCES