Keywords
blood glucose, continuous glucose monitor, diabetes, psychotherapy, type 1 diabetes
This article is included in the Sociology of Health gateway.
This article is included in the Global Public Health gateway.
blood glucose, continuous glucose monitor, diabetes, psychotherapy, type 1 diabetes
According to Russell (2017), continuous glucose monitoring (referred to as CGM hereafter) “automatically tracks blood glucose levels, also called blood sugar, throughout the day and night. A person can use CGM to see their glucose level anytime immediately. They can also review their glucose changes over a few hours or days to see trends. Seeing glucose levels in real time can help a person make more informed decisions throughout the day about how to balance their food, physical activity, and medicines”.
The motivation for this study is to explore how more control over blood glucose levels can be attained in prevention of hypoglycaemia and ketosis over T1 diabetes, which can be unpredictable and sensitive to context (Bergenstal et al., 2010). Addressing mental health related experiences e.g., anxiety, stress or depression are considered an important link for psychological interventions for the enhancement of wellbeing. According to existing research, failure to control fluctuations can result in heightened anxiety which can adversely impact on glucose levels (Davis et al., 2005; Gonder-Frederick et al., 2013; Speight et al., 2014).
Only three CGM’s are available in South Africa (What is a CGM? Flash glucose monitoring and CGM, 2020) viz, the Guardian Connect (Gaurdian connect, 2023), Dexcom G6 (Dexcom, 2021) and the Freestyle Libre (Freestyle libre, 2023) (What is a CGM? Flash glucose monitoring and CGM, 2020). The Guardian Connect is used together with the Medtronic insulin pump, the Dexcom G6 is used together with the Tandam T: SlimX2 insulin pump. The Freestyle Libre, not in real time, is a more affordable system to use (Freestyle libre, 2023), however, has continuous glucose monitoring on demand. See Table 1, available in Extended data (Knowles & Wells, 2023).
The focus of this study is on understanding the psychological and health benefits of using CGM by a person with Type 1 Diabetes (referred to as T1D hereafter) in a higher education South African context. Data is shared in the form of tables and figures depicting different information for ease of understanding.
According to Russell, a CGM works through a tiny sensor which tests glucose every few minutes is inserted under the person’s skin stomach or arm which measures the glucose found in the fluid between the cells (Russell, 2017). Accordingly, research studies regarding the revolutionary impacts of CGM (Russell, 2017; Hirsch et al., 2008; Pickup, Freeman, & Sutton, 2018), posit that the process entails an in-time reading transmitted from the sensor to the monitor or app displaying blood glucose information. Some systems come with a dedicated monitor, and some now display the information via a smartphone app (Dexcom, 2021; Gonzalez et al., 2016; Hommel et al., 2017), thus there is no need for an extra device to be carried around. The CGM sends alerts regarding fluctuations of blood sugar levels whether rising too high or dropping too low (van Beers et al., 2016). The present study authors posit that it’s not an understatement to say that CGMs have revolutionized diabetes care. Unlike a traditional fingerstick blood glucose meter, which provides just a single glucose reading, CGM systems provide continuous, dynamic glucose information every five minutes. That equates to roughly 288 readings in a day (Healthline, 2005-2021).
Figure 1 displays significant psychological factors impacting on persons with type 1 diabetes which need express attention for normalization.
Experts have largely ignored the psychological aspects of diabetes since the illness was first discovered (Kalra, Jena, & Yeravdekar, 2018). Research suggests that pre-CGM, most people with T1D developed several clinically significant psychological factors e.g., pervasive depression, anxiety, anguish, and unremitting panic attacks due to pervasive fear of “never knowing what their sugar levels were” (Holl et al., 2003; Miller et al., 2015). Further, Pérez-Marín, Gómez-Rico, and Montoya-Castilla (2015) posit that research underscores the following risk factors: situational (stressful life events), personal (additional physical diseases, low self-esteem, emotional disturbances), and interpersonal (family breakdown and conflicts), and protection factors (coping strategies, social support, fluent communication). Recent studies, on couples or family with T1D posit that increasing stressors in isolation from others within an interpersonal or family relations space and communal context negatively impacts on coping mechanisms (Afifi, Basinger, & Kam, 2020; Helgeson, Jakubiak, Van Vleet, & Zajdel, 2018; Buckingham et al., 2005).
Studies in relation to the effects of diabetes on people suggest that episodic and working memory is negatively impacted (Cansino et al., 2021) with the possibilities of debilitating brain damage. Similar findings were observed by other studies of the significant changes in brain functioning, especially executive cognitive activities, due to diabetic disease (Biessels & Despa, 2018; Arenas, Fernández-Apan, Bärtschi, Resendiz-Vera, & Rodríguez-Ortiz, 2013; Daselaar, Dennis, & Cabeza, 2007; Speight et al., 2014).
All participants of a previous study (Choudhary & Amiel, 2018) stated that the finger pricking method exacerbated psychological stress and high blood glucose; given the need for random testing with no material information assisting the individual a process that has been diminished by CGM. The compulsory changes in habits and lifestyles can also lead to psychosocial problems, including eating disorders as the person has no control of blood glucose levels in the process (Gonder-Frederick et al., 2013).
Research (Davis et al., 2005), also shows negative impact of fear and inherent anxiety, also shared by a participant that every visit to the doctor was like “a headmaster visit. What will your HbA1c be?”. The participant, code MP, states that “nonetheless, only the visit to the doctor yielded crucial information regarding diabetes management”. Finger-pricking only reveals the glucose reading as a snapshot. Psychologically, the person with T1D would have to continuously juggle figures in their head regarding whatever they have eaten and what that means, e.g., low or high sugar with resultant physical implications. As one participant in this study shares: “It’s always wondering. Can I do this activity? May I eat or drink this? If I eat this, what should I bolus?” Another would share panic inducing thoughts and fears, “Why am I feeling like this? Is my sugar High or low?” These are serious daily encounters that T1D individuals had to grapple with inherent psychological difficulties viz; isolation, feeling misunderstood, a social misfit, sickly and often not getting invited to social events etc. This has led to the term diabetes fatigue (What is diabetes distress and burnout?, n.d.). For the person living with T1D, it appears to be all consuming and just too much to handle with no breaks, diabetes doesn’t sleep and often impacts family members (Lawton et al., 2014).
Following Necho et al. (2021), the corresponding link between the psyche and the body is an important factor to consider how the effects can lead to physical health problems. Stress, anxiety and depression can lead to bodily harm and immunodeficiency. The current study suggests, that contrary to previous studies that indicated the negative impact of diabetes on daily functioning, technological advances positively impact on the livelihood of people presenting with the disease. Per Engel (1960, p.132; as stated in Stuart et al., 2020), the biopsychosocial model is more appropriate as the biomedical only takes into account the medical determinants of diseases.
With the progressive nature of technology, there’s now an appreciation of evidence-based as well as the biopsychological approach, Engel (1960, p.132; as stated in Stuart et al., 2020), that takes all multiple psychological factors into consideration (Choudhary & Amiel, 2018). CGM has, however, engendered a regenerated ecosystem of T1D individuals. Research studies suggest that the advantage of CGM devices is the provision of real time blood glucose level information (Cleveland Clinic, 2021; Bergenstal et al., 2010). The newest devices display glucose readings on a screen so you can see – in real time - whether glucose levels are rising or falling (Dexcom, 2021). Some systems also contain an alarm to let you know when your glucose reaches high or low levels (Cleveland Clinic, 2021). Some devices can display graphs revealing glucose levels collected over a certain number of hours on its display screen (Cleveland Clinic, 2021). The data collected on all devices may be uploaded and software reviewed to determine trends.
Technology based developments in the treatment of diabetes indicate enhanced quality of life and benefits from the use of a CGM device as depicted in Table 1 available in Extended data (Knowles & Wells, 2023). The CGM benefits complement psychological benefits in that one has synchronous knowledge of a 24/7 knowledge of what’s happening with one’s glucose. If a person eats, drinks, or does some activity they will know what the reaction on their blood glucose is and can react accordingly without wondering what their blood glucose levels are. The ease of CGM suggests multifaceted gains for both T1D individuals and the health system. It is imperative that people with T1D educate themselves about the most appropriate medical aid support they can access to mitigate unintended psychological stresses.
The clinically significant factors for persons with T1D using CGM is that their quality of life is improved significantly and alleviates debilitating cognitive degradation, as indicated in previous studies (Biessels & Despa, 2018; Arenas et al., 2013; Daselaar et al., 2007).
While much of the research has been conducted in more developed countries (Motala, 2002; Centre for disease control and prevention, 2022), patients with type 1 diabetes are found worldwide. The present study, which shares similarities of patient issues from these countries, was conducted at the student counselling and career development space, University of South Africa, an open and distance learning (ODL) higher education environment. The Facebook group Type 1 diabetes South Africa is a closed group for people with Type 1 diabetes. However, to meet mandatory ethical imperatives following disclosure with inherent psychological triggers, the respondents were invited for psychotherapy at the student counselling and development centre at an Open Distance Learning institution.
The investigation of the debilitating nature of T1D on the quality of life for people with the condition and its impact on presenting cognitive and psychosocial factors is the main objective of the study while an understanding of the inherent disparities in psycho-social contexts highlights the scope. South Africa as an unequal society creates disparities that determine whether one has adequate financial access to medical aid or not as well as whether medial aid options cater adequately for the use of CGM (Tlali et al., 2022; Ataguba, Akazili, & McIntyre, 2011). The population statistics depict a very skewed socio-economic picture of societal context in that the affluent have access to private medical care excluding poverty of the majority who depend on medical aid support (Harris & Sandal, 2021; Nguse & Wassenaar, 2021; Ataguba, Akazili, & McIntyre, 2011). The health care systems in the country are spread between private (medical aids) and public (government clinics and hospitals) sectors. The amount of trust in the healthcare system had also increased moderately depending on whether or not individuals belonged to ‘vulnerable groups’, i.e., those that belong to economically or socially vulnerable groups, those with underlying diseases or healthcare professionals who have an occupational risk (Harris & Sandal, 2021). Medical aid support has inherent financial constraints creating a double bind for people with diabetes as some do not pay for CGM intervention because it is not cost effective for medical aid companies. Mental and medical healthcare is still not seen as a priority for those who are not able to afford the high cost of it. If individuals require public healthcare, they are expected to wait for a long period to see a specialist or medical practitioner. Currently, only 16-17% (Mumbauer et al., 2021) of South Africans can afford the high cost of medical aids and access to private doctors and specialists. This is due to the high amount of monthly premiums and out-of- pocket fees that are to be paid. Even so, there is still a huge disparity between members who can afford medical schemes which can offer more benefits compared to those that cannot. Urban or rural areas which allow for the use of private infrastructure has been acknowledged as being unequal across the different provinces in South Africa (Tlali et al., 2022).
Due to the high cost of medical aid support, there is an exponential increase in mental health issues at counselling centres as this is a free service, requiring effective psychotherapy in mitigation of negative impacts e.g., cognitive difficulties, motivation, burnout, diminished self-confidence and self-esteem (Unisa - University of South Africa, n.d.), also evidenced in people with T1D (Davis et al., 2005; Kalra, Jena, & Yeravdekar, 2018; Cansino et al., 2021).
This study applies a mixed-method approach, combining quantitative and qualitative analyses. The research questions targeted participant’s experiences of glucose level before and after using CGM, the psychological impacts before and after using CGM, the psychological and emotional benefits of using CGM, the physical experiences before using CGM, the social benefits of using CGM, financial experiences before using CGM, financial benefits of using CGM and other benefits or disadvantages of using CGM. Despite the fact that the study excluded child participation, parents of children using CGM could share their experiences. The targeted sample is therefore the individuals with type 1 diabetes, and parents of children with type 1 diabetes, currently using the T1D CGM in South Africa. Furthermore, the data was collected in the middle of the COVID-19 outbreak between 26th and 30th May 2021, with a follow up from 11th to 13th August of 2021. A total of 30 group members of a Facebook group ‘Type 1 Diabetics South Africa’ on social media responded to an invitation to participate before commencement of the study. The university in general and the student counselling department specifically uses social media for mass communication regarding different aspects in student centred support (Unisa - University of South Africa, n.d.). Thereafter, a database from the online data responses containing the Type 1 diabetes participants’ information, age, name and duration of type 1 diabetes was created to facilitate the online distribution of questionnaires using the Atlas.ti.9 software. Free, open source alternatives to Atlas.ti include QualCoder, MAXQDA, Taguette, and CATMA (Atlas.ti alternatives, 2022). The questionnaires comprised questions for collecting both qualitative and quantitative data, and they were distributed online to the type 1 diabetics South Africa Facebook page (Type 1 Diabetics South Africa, n.d.). Individual responses and data were kept confidential in a password protected folder strictly for this research. The study invitation received 30 respondents. However, based on inclusion and exclusion criteria, type 2 diabetes was excluded as it is not an autoimmune and as debilitating and a lifestyle problem, “commonly associated with obesity, unhealthy eating habits and the modern sedentary lifestyle” (The diffrence between type 1 and type 2 diabetes, 2023). This resulted in sixteen (16) T1D CGM participants selected from thirty (30) T1D respondents. The second exclusion criterion was only participants who were using a CGM and finally no children could participate in this study. Only respondents who met the study criteria were sent the questionnaire for participation in the study. Based on the inclusion and exclusion criteria and the convenience sampling technique, only 10 of the returned questionnaires were found useful for the analysis stage as they were T1D CGM users.
The questionnaire for the quantitative (A) and qualitative (B) method, is divided into two sections. Section A recorded demographic information, specifically, age name and surname and Section B examined their technology adoption in respect of T1D CGM (e.g., frequency of use, experience, the technological functions used), measured using dichotomous questions. The questionnaire guided the respondents on technology usage categories. Data gathered were analysed using the latest Statistical Package for the Social Sciences (SPSS) software version 26 to obtain the descriptive results.
Meanwhile, for the qualitative section, an in-depth interview was conducted with ten (10) T1D CGM users. A semi-structured questionnaire was employed to gather information on experience, perceptions, issues, factors influencing their decision to use CGM technology. The interview sessions were recorded and transcribed using the Atlas.ti9 software to capture and thematise the findings into a proper discussion and written format to support the quantitative analysis findings. The raw data and anonymised transcriptions are available on request (see Underlying data) in adherence to STROBE and SRQR guidelines. The questionnaire is available in Extended data (Knowles & Wells, 2023).
Following in-depth interviews, the participants in the present study, received information regarding psychotherapy from the counselling centre either face-to-face on a limited basis due to COVID-19 restrictions or were engaged in an online therapeutic intervention.
This study was conducted following ethical approval from the University of South Africa ethics committee Ref: 2019/04/17/90197585/09/MC. All ethical considerations were upheld in ensuring confidentiality of the participants’ information. Response data was coded and filed with encryption known only to the researcher to prevent phishing or exposure of any type. The written informed consent which all participants had to complete using an electronic signature for participation in the study was obtained before commencement of the study. Participants were informed of a non-obligation to participate, their right to withdraw from the study at any point, and that the anonymised data resulting from the study could be published. Child participation was excluded from the study as a criterion as they did not form part of the study and also to meet university student counselling environment processes. However, some parents shared clinically significant information regarding their children who had T1D, when this impacted their psychological wellbeing, e.g. anxiety and fatigue.
The data was collected and are presented here in a table format. The results were analysed in two ways, first focusing on the quantitative data, mostly demographic and frequencies. Likert scale type questions were used. Firstly, quantitative data was analysed using the Statistical Package for the Social Scientists (SPSS) software. This software helps to draw conclusions from the descriptive data by statistically analysing it (Garth, 2008; Pallant, 2007; Sweet & Grace-Martin, 2010). Secondly, the analysis of qualitative data based on open-ended questions. This analysis required the following important scientific steps: first, coding the responses to ensure anonymity of the respondents. This was followed by analysing the responses for themes from the different response narratives in response to the questionnaire. Atlas.ti9 software was used for the analysis of the qualitative data responses. After collecting the data, cleaning the data by enhancing anonymity through coding, analysis for emerging themes from the codes and searching for subthemes and finally combining them into composite variables, the descriptive statistics of the variables are available in Table 3 in Underlying data (Knowles & Wells, 2023).
The majority of the participants (77%) were aged between 21-64 years old, and a significant portion 23 (%) were participants who had children with T1D and aged between 8-9 years old. The children did not take part in the study, but rather, had their information shared by the participating parent in the study. The latter information was shared due to parents experiencing diabetes fatigue, whose children were T1 diabetic, due to constant CGM alarms culminating in anxiety. Even though the study excluded child participation, some parent participants shared data in reference to their children who were T1 diabetics due the psychological impacts in family relations and the parent psychological distress. The psychological impacts of the CGM alarms, break of sleep, anxiety and fear about the child’s health are pertinent for the cry for help and psychological intervention (Afifi, Basinger, & Kam, 2020; Davis et al., 2005; Speight et al., 2014; Lawton et al., 2014). All of them were using CGM when the survey was administered due to the COVID-19 pandemic. This shows that T1D participants have been exposed and are somewhat familiar with the concept of using CGM, especially if they are not the first-time users.
Despite it being a technology-based intervention, many of the participants did not expect an immediate improvement in their blood glucose response. Most people with T1D are content receiving glucose readings at five-minute intervals. Table 3 in Underlying data (Knowles & Wells, 2023) gives an indication of the pertinent variables emanating from the data analysis.
An example:
“With finger pricking you test you BG when you feel low. If it’s low, you eat something to pick it up and leave it at that. With the CGM when you BG going low you will receive an alarm that your BG will be too low in the next 20 minutes and to do something before it reaches dangerous levels. You will also be able to see if your sensor glucose is still dropping or stabilising and that there is no need to react by eating something. The same if it’s getting too high.”
In the present study, participants with T1D advocate positive psychological factors related to using CGM. These are articulated, for example, as: “being in control, no fear of being warned about lows and highs, instantly knowing what the effect of the food intake has on your sugar, confidence in social environments and less stress about the pain associated with finger pricking”, this is also supported by research (van Beers et al., 2016).
The thematic analysis, using ATLAS.ti 9 produced the following results with thirty (30) codes. The codes were further analysed resulting in eight (8) clinically significant themes. The authors decided to depict the themes in the spreadsheet format – see Table 2 available in Underlying data (Knowles & Wells, 2023) - for ease of access and understanding. These indicate factors experienced by participants before (disadvantages) and after (advantages) using CGM as a life saving device.
Some of the highlights of these outcomes especially around increased control and confidence from participants are greater independence, confidence in social environment, no fear and enhanced sense of wellbeing. Further, the results suggest the important value to family support and other relevant support stakeholders e.g., counsellors who can access and be aware of real time blood glucose levels.
The finding of this study, just like previous research, posits that participants with diabetes random glucose levels were higher than those for nondiabetic participants. This suggests that individuals with diabetes, even under pharmacological treatment, do not achieve ideal glycemic management (Biessels & Despa, 2018; Harris & Sandal, 2021). Accordingly, poor glucose control leading to hyperglycemia and in turn to several concurrent events associated with cognitive impairment, such ischemic damage, brain insulin deficiency and vascular dysfunction are considered pertinent in strong effect of diabetes on memory (Kim, 2019; Biessels & Despa, 2018; Choudhary & Amiel, 2018). Using CGM allows people presenting with diabetes to have peace of mind knowing that their blood glucose levels are adequately controlled.
The main implication of our study is that diabetes has a broad effect on several daily psycho-social factors including memory, isolation, financial and medical aid constraints - Table 2 in Underlying data (Knowles & Wells, 2023) - because most demanding processes within each of these variables were diminished in participants with diabetes (Monette, Baird, & Jackson, 2014; Palta et al., 2014). Nguse and Wassenaar (2021) argue that mental health is generally ignored during times of a pandemic, even though these can have long-lasting effects on individuals after the pandemic is over. However, the use of CGM by T1D, with complementary psychotherapy, indicated improved health related quality of life. The extensive effect of using CGM by T1D on quality of life suggests that diabetic individuals can mitigate negative experiences of diabetes, which is further supported by the fact that blood glucose levels are in constant control and are the most essential functions to maintain efficient control of everyday activities and preserve autonomy. The biggest advantage of CGM devices is that they provide information on what is happening to your blood glucose level every few minutes (Cleveland Clinic, 2021).
Despite the significant findings, this study is subjected to some limitations. For example, it only involves data of T1D CGM users who were subsequently invited to the student counselling and development directorate in an open distance higher education sector in South Africa (Unisa - University of South Africa, n.d.). The participants in the present study, through the university Facebook page, received information regarding psychotherapy from the counselling centre either face-to-face on a limited basis due to covid-19 restrictions or engage in an online therapeutic intervention. These were identified from the results as needing psychological intervention and in response to the researcher’s ethical obligations. Future studies, in this respect, could include non-medical aid supported T1D CGM users in different geographical settings in South Africa. Next, other developing countries can be selected as the study sample, and a broader comparison can be made. Furthermore, it would be interesting if the sample population could be extended to other medical conditions and social contexts, such as cardiac, disability, visual impairment, hearing impairment, autism spectrum disorder and Alzheimer’s; hence, offering more diverse insights on technology adoption for medical intervention. In terms of the data collection, future research may consider studying the impact of COVID-19, at least after three years to examine the probable adoption changes. Finally, the study’s findings reflect the 21st-century benefits of T1D CGM usage allowing for improved control of blood glucose levels as well diminished frequency of finger pricking.
One limitation of the study is the time, COVID-19 pandemic, in which the participants were affected by diabetes because this information might be imprecise due to memory mistakes. Another limitation is in the design that does not allow real-time follow-up of the course of the COVID-19 impacts on diabetes and its gradual effects on memory. Although we controlled for the influence of several potential confounders to reliably examine the effects of diabetes on memory, previous research contends that the list of control variables is not exhaustive (Cansino et al., 2021; Choudhary & Amiel, 2018; Daselaar, Dennis, & Cabeza, 2007). These limitations should be considered when interpreting the results of the present study.
The 4th industrial revolution is technology. Continuous Glucose Monitoring is a form of artificial intelligence enabling people living with T1 diabetes to make smarter choices more often and at a faster pace with more information. If people with diabetes are unable to access this intelligent technology, they will be at increased risk of complications of diabetes. The quantitative analysis results show that although most CGM users adopt technology in their daily living, most people with diabetes used basic technology only that has been in existence for over a decade. The use of CGM by T1D, with complementary psychotherapy, indicated improved health related quality of life.
The raw data and recordings (including anonymised transcriptions) cannot be shared publicly on a repository because of confidentiality constraints, protecting the privacy or unintended identification of participants’ information and the protection of personal information act (No.4 of 2013: Protection of personal information, 2013). Interested readers can apply for access to the anonymised data by contacting the corresponding author (wellsrs@unisa.ac.za). Access to the anonymised data will be granted for the advancement of health-related quality of life research purposes.
Open Science Framework: The Psychological and Health Benefits of Using a Continuous Glucose Monitor for a Person with Type 1 Diabetes: A South African Higher Education Context, https://doi.org/10.17605/OSF.IO/BCR8U (Knowles & Wells, 2023).
This project contains the following underlying data:
Open Science Framework: The Psychological and Health Benefits of Using a Continuous Glucose Monitor for a Person with Type 1 Diabetes: A South African Higher Education Context, https://doi.org/10.17605/OSF.IO/BCR8U (Knowles & Wells, 2023).
This project contains the following extended data:
- Questionnaire.docx
- Informed consent form.docx
- Social media invitation.docx
- Table 1_ The cost of the three Continuous Glucose Monitors available in South Africa_2021.docx (data taken from Gaurdian connect [2023], Dexcom [2021] and Freestyle libre [2023]).
- Psychological – Health factors.docx (Figure 1 has been reproduced with permission from copyright holders, TYPE1 Foundation).
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
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