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Objective: To determine inequalities in access to diabetes technologies and the effect of socioeconomic factors on families with children with type 1 diabetes. Methods: In this multicenter cross-sectional study, parents of children with type 1 diabetes completed a questionnaire about household sociodemographic characteristics, latest HbA1c values, continuous glucose monitoring (CGM) and insulin pump use of children, the education and working status of parents. These characteristics were compared between technology use (only-CGM, only-pump, CGM+pump, no technology use). Results: Among 882 families, only-CGM users, only-pump users, and CGM+pump users compared with no technology users, adjusting for age, sex, region, education levels, number of working parents, and household income. Children living in the least developed region had lower odds of having only-CGM (OR=0.20, 95%CI 0.12-0.34) and having CGM+pump (OR=0.07, 95%CI 0.03-0.22) compared with those living in the most developed region. Children with parents who had not finished high school had lower odds of having only-CGM (Mothers: OR=0.36, 95%CI 0.19-0.66; fathers: OR=0.32, 95%CI 0.18-0.60) or both CGM+pump (OR=0.27, 95%CI 0.11-0.64; fathers: OR=0.34, 95%CI 0.15-0.79) rather than no-technology compared to children whose parents has a university degree. Every $840 increase in the household income increased the odds by 5% for having only-CGM (OR=1.05, 95%CI 1.02-1.09) and CGM+pump (OR=1.05, 95%CI 1.01-1.08). Conclusion: Socioeconomic factors such as education, regions, and income were associated with inequality in access to technologies. The inequalities are more prominent in access to CGM while CGM had a bigger contribution to glycemic control.
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BACKGROUND: The COVID-19 pandemic created unprecedented challenges for people with type 2 diabetes (T2D) and prediabetes to access in-person health care support. Primary care teams accelerated plans to implement digital health technologies (DHTs), such as remote consultations and digital self-management. There is limited evidence about whether there were inequalities in how people with T2D and prediabetes adjusted to these changes. OBJECTIVE: This study aimed to explore how people with T2D and prediabetes adapted to the reduction in in-person health support and the increased provision of support through DHTs during the COVID-19 pandemic and beyond. METHODS: A purposive sample of people with T2D and prediabetes was recruited by text message from primary care practices that served low-income areas. Semistructured interviews were conducted by phone or video call, and data were analyzed thematically using a hybrid inductive and deductive approach. RESULTS: A diverse sample of 30 participants was interviewed. There was a feeling that primary care had become harder to access. Participants responded to the challenge of accessing support by rationing or delaying seeking support or by proactively requesting appointments. Barriers to accessing health care support were associated with issues with using the total triage system, a passive interaction style with health care services, or being diagnosed with prediabetes at the beginning of the pandemic. Some participants were able to adapt to the increased delivery of support through DHTs. Others had lower capacity to use DHTs, which was caused by lower digital skills, fewer financial resources, and a lack of support to use the tools. CONCLUSIONS: Inequalities in motivation, opportunity, and capacity to engage in health services and DHTs lead to unequal possibilities for people with T2D and prediabetes to self-care and receive care during the COVID-19 pandemic. These issues can be addressed by proactive arrangement of regular checkups by primary care services and improving capacity for people with lower digital skills to engage with DHTs.
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AIMS: To investigate early indicators of cardiovascular disease (CVD) in children and adolescents with type 1 diabetes mellitus (T1DM), focusing on pulse wave velocity (PWV) and its associations with various anthropometric and glycemic parameters. PATIENTS AND METHODS: A total of 124 children and adolescents with T1D (mean age 10.75 ± 3.57 years) were included in this cross-sectional study. Anthropometric data, including height, weight, body mass index (BMI), glycemic parameters, such as HbA1c and time in range (TIR) were assessed. PWV was assessed by oscillometric method using the Mobil-O-Graph PWA device. Univariate and multivariate linear regression were used to explore the association of PWV z-score with anthropometric, demographic, and glycaemic variables. RESULTS: Significant negative association between PWV and age and height (ß = -0.336, 95 % CI -0.44 to -0.25, p < 0.001 and ß = -0.491, 95 % CI -0.62 to -0.36, p < 0.001, respectively), while gender showed a significant positive association with PWV, with females displaying higher PWV values compared to males (ß = 0.366, 95 % CI 0.17 to 0.56, p < 0.001). TIR was positively associated with PWV (ß = 0.092, 95 % CI 0.01 to 0.16, p = 0.017 only for patients having TIR ≤ 50 %. Finally, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were positively associated with PWV (ß = 0.086, 95 % CI 0.02 to 0.14, p = 0.007 and ß = 0.152, 95 % CI 0.07 to 0.23, p < 0.001, respectively). CONCLUSION: Youth with T1DM who spend <50 % of time in range exhibit uniquely increased signs of arterial stiffness, indicating that poor glycemic control may contribute to early vascular damage. Differences related to age, gender and height should be considered.
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Diabetes Mellitus Tipo 1 , Análise de Onda de Pulso , Rigidez Vascular , Humanos , Diabetes Mellitus Tipo 1/fisiopatologia , Diabetes Mellitus Tipo 1/complicações , Diabetes Mellitus Tipo 1/sangue , Rigidez Vascular/fisiologia , Masculino , Feminino , Criança , Adolescente , Estudos Transversais , Angiopatias Diabéticas/fisiopatologia , Angiopatias Diabéticas/diagnóstico , Angiopatias Diabéticas/epidemiologia , Doenças Cardiovasculares/fisiopatologia , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/diagnóstico , Glicemia/análise , Glicemia/metabolismoRESUMO
AIM: To assess the differential association of risk factors with severe and non-severe hypoglycaemia. MATERIALS AND METHODS: The Hypoglycaemia Assessment Tool study evaluated the risk of hypoglycaemia over a 4-week period in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) on insulin in 24 countries. Negative binomial regressions were applied to examine the associations of several risk factors with severe and non-severe hypoglycaemia. RESULTS: The median age was 41 years in 5949 patients with T1D and 62 years in 12 914 patients with T2D. The 4-week rates of non-severe hypoglycaemic were 5.57 and 1.40 episodes per person in T1D and T2D, respectively; the corresponding rates for severe hypoglycaemia were 0.94 and 0.30. The excess risk was 42% higher for severe than non-severe hypoglycaemia in females versus males with T2D; 27% higher in patients with T2D with versus without a continuous glucose monitoring (CGM); and 47% lower in patients with T1D with versus without an insulin pump. The excess risk also differed across geographical areas and was marginally lower for severe than non-severe hypoglycaemia for higher values of HbA1c in patients with T2D. Associations with severity of hypoglycaemia were not different for age, diabetes and insulin therapy duration, previous hypoglycaemic episodes and insulin regimen. CONCLUSIONS: The risk of severe versus non-severe hypoglycaemia differs in patients with T1D and T2D; sex, the use of a CGM and insulin pump, and geographical areas were differently associated with one type of hypoglycaemia than the other.
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Diabetes Mellitus Tipo 1 , Diabetes Mellitus Tipo 2 , Hipoglicemia , Hipoglicemiantes , Insulina , Humanos , Hipoglicemia/induzido quimicamente , Hipoglicemia/epidemiologia , Diabetes Mellitus Tipo 1/tratamento farmacológico , Diabetes Mellitus Tipo 1/complicações , Diabetes Mellitus Tipo 1/sangue , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/sangue , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Fatores de Risco , Insulina/efeitos adversos , Insulina/uso terapêutico , Hipoglicemiantes/efeitos adversos , Hipoglicemiantes/uso terapêutico , Estudos Prospectivos , Índice de Gravidade de Doença , Idoso , Hemoglobinas Glicadas/análise , Glicemia/análise , Glicemia/metabolismo , Automonitorização da GlicemiaRESUMO
Background and Aims: There has been an evolving trend in the use of intermittently scanned continuous glucose monitoring (isCGM) among individuals with type 1 diabetes. Although isCGM is proven to be beneficial in the treatment of individuals with type 1 diabetes, its use leads to increasing device costs. This study aimed to investigate the long-term cost-effectiveness of isCGM. Methods: Long-term clinical outcomes and costs were projected using the IQVIA Core Diabetes Model (v10.0) based on the observed real-world outcomes of isCGM. The clinical input data for the analysis were sourced from a real-world patient cohort from Eastern Finland, including 877 adult individuals with type 1 diabetes with isCGM (i.e., Freestyle Libre 1 and 2). At the baseline, the patients' mean age was 48 years, and the mean duration of diabetes was 25.8 years. The mean baseline HbA1c was 8.6%, and the mean 12-month change from baseline in HbA1c was -0.37% after the initiation of isCGM. The cost-effectiveness analysis was performed over a lifetime time horizon. A discount rate of 3% was used for the future costs and health outcomes. Results: The projected use of isCGM was associated with improved quality-adjusted life year (QALY) expectancy of 0.84 QALYs after the start of isCGM. The direct lifetime costs were 7861 EUR higher with the use of isCGM, which resulted in an incremental cost-effectiveness ratio of 9396 EUR per QALY gained. Conclusions: According to the present analysis, the use of isCGM is considered cost-effective in adult individuals with type 1 diabetes in a real-world setting in Finland.
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Type 1 diabetes mellitus (T1DM) is a major problem worldwide that affects the quality of life, well-being of patients and their families. This study aimed to determine the relationship between the cost of illness and quality of life among patients with T1DM. A concurrent, parallel, mixed-method study of 113 adolescents with T1DM registered in public and private hospitals in the Mysore district was conducted by obtaining data related to the cost of illness and quality of life using a validated Diabetes-Specific Quality of Life (DSQoL) questionnaire. Thematic analysis was used to identify the themes. There was a significant association amonghealth insurance status, treatment facility type, catastrophic health expenditure (CHE), and cost of illness. The CHE proportion was32.7%. Financial sources for treatment were met primarily by borrowing money with interest (58 patients, 51.3%), followed by individualincome (40 patients, 35.3%), contributions from friends and relatives (10 patients, 8.8%), and selling of assets (5 patients, 4.4%). The monthly health expenditures of approximately 22 (19.46%) households were greater than their monthly incomes. There was a positive correlation (rvalue of 0.979) between the cost of treatment and the DSQoL score, and this correlation was statistically significant, with a p value < 0.001. The higher theDSQoL score was, the worse the quality of life and the worse the well-being of T1DM patients. Three themes were identified: the impact of financial cost on family coping, the impact of financial cost on seeking care and the emotional burden of financial cost. There was a statistically significant positive correlation between the cost of treatment and the DSQoLscore. Adolescents with T1DM who had greatertreatment costs had worseDSQoL, and significantly lower health expenses were observed among adolescentswho had health insurance. Cost of illness acts as a barrier to treatment and placesa burden on patients and their families.
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Efeitos Psicossociais da Doença , Diabetes Mellitus Tipo 1 , Gastos em Saúde , Qualidade de Vida , Humanos , Diabetes Mellitus Tipo 1/economia , Diabetes Mellitus Tipo 1/psicologia , Diabetes Mellitus Tipo 1/terapia , Adolescente , Masculino , Feminino , Inquéritos e Questionários , CriançaRESUMO
AIMS: There are marked inequities in clinical outcomes and rates of diabetes technology use among youth with type 1 diabetes (T1D). The quantitative data from our mixed methods cohort study identified significant improvements in glycaemia and quality of life in participants. We aimed to use qualitative methods to provide further insight into our quantitative findings in the setting of underlying health disparities. METHODS: Fifteen publicly insured, insulin pump-naïve non-Hispanic Black youth aged 6-21 years with T1D and baseline haemoglobin A1c (HbA1c) ≥86 mmol/mol (10%) and their parents participated in a mixed methods cohort study. Semi-structured interviews were conducted separately with parents and youth after completion of 6 months of HCL use. Three topic areas were explored: (1) Experience using HCL, (2) barriers to HCL and (3) facilitators to accessing HCL. Semantic content analysis and consensus coding involving two team members were used to generate themes. Thematic saturation was achieved. RESULTS: Youth (Medianage 14.9 years, 67% female) and parents (92% female) were interviewed. Youth and their parents reported that access to HCL provides a new outlook on living with T1D, although managing T1D is still hard. They felt that diabetes technology is most helpful for those struggling with management. Participants experienced barriers to access including misconceptions of HCL systems, clinician bias and systemic racism. They suggested these barriers can be overcome by offering diabetes technology education for all people with T1D, increasing awareness of HCL in the community and providing resources to overcome barriers created by social determinants of health. CONCLUSIONS: The voices of historically minoritised youth with suboptimal T1D control and their parents provide important, previously unreported experiences and perspectives on barriers and facilitators to using HCL that will shape interventions to improve equity in access to diabetes technology.
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Purpose: The COVID-19 pandemic has shown a rise in pediatric diabetes. Studies have indicated an increased likelihood of children with COVID-19 infection developing diabetes. Our objective was to assess not only for an increase in pediatric diabetes at our hospital and identify possible risk factors but also to correlate psychosocial changes resulting from the pandemic with new-onset diabetes during this time. Methods: We analyzed data from 58 children aged 1-18 years admitted to our hospital with new-onset diabetes between March 2020 and December 2021, including inflammatory biomarkers and SARS-CoV-2 antibodies (Ab), as well as results of a lifestyle questionnaire. Results: Average monthly hospital admissions for new-onset diabetes rose from 10 to 18 with the start of the pandemic. Of the 58 children in our analysis, 33% had positive SARS-CoV-2 IgG Ab, 31% had type 1 diabetes mellitus (T1DM), and 62% had type 2 diabetes mellitus (T2DM). More than half (54%) were in DKA. Those with T2DM were older, majority African American, had higher median BMI percentiles, and lower Vitamin D levels. There were no significant correlations between any psychosocial risk factors and either diabetes type or SARS-CoV2 Ab status. Conclusions: Despite the increased incidence of new-onset diabetes among children in Mississippi during the pandemic, this study was unable to demonstrate significant correlations between COVID-19 infection and new-onset diabetes. This study highlighted the correlation between increased BMI and type 2 diabetes, which speaks to the significant problem of obesity and diabetes in Mississippi and the need for further research.
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Skin autofluorescence (sAF) measurement is a non-invasive method used to assess tissue advanced glycation end product (AGE) accumulation. This study aims to characterize sAF's association with (1) glycated hemoglobin (HbA1c) values, (2) cardiovascular risk markers, and (3) common comorbidities (autoimmune thyroiditis, celiac disease) in children with type 1 diabetes (T1D). MATERIALS AND METHODS: A total of 348 children with T1D aged 3-18 years and 85 age- and gender-matched control subjects were enrolled. sAF was quantified using an AGE Reader (Diagnoptics BV, The Netherlands). The analysis covered HbA1c, blood lipid, and C-reactive protein (CRP) levels, ambulatory blood pressure monitoring records, and body composition parameters. The associations between variables and sAF were assessed using the Mann-Whitney U test and Spearman correlation. RESULTS: We observed significantly higher sAF values in the T1D group compared to the control (1.40 [1.27-1.53] vs. 1.20 [1.07-1.30, AU]; p = 0.004), consistent across all tested age groups. In the T1D group, sAF was positively correlated with current HbA1c, mean of historical HbA1c values, and T1D duration (r values, respectively: 0.27, 0.22, 0.14, all p < 0.01). Percentage of body fat was positively correlated with sAF (r = 0.120; p = 0.044). No significant correlations were found between sAF and lipid fractions, Z-score of BMI, parameters from 24 h ambulatory blood pressure monitoring, or the amount of albumin excreted in urine. sAF was positively correlated with CRP (r = 0.17, p < 0.05). sAF was significantly higher in patients with concomitant celiac disease (1.53 [1.43-1.63] vs. 1.40 [1.27-1.53, AU], p = 0.001). CONCLUSION: Among young T1D patients with relatively brief diabetes duration, sAF effectively mirrors prior glycemic control, as presented by historical average HbA1c. However, associations with conventional CV risk markers are not evident. The higher sAF values in patients with celiac disease warrant further exploration.
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Diabetes Mellitus Tipo 1 , Hemoglobinas Glicadas , Produtos Finais de Glicação Avançada , Fatores de Risco de Doenças Cardíacas , Pele , Humanos , Criança , Hemoglobinas Glicadas/análise , Hemoglobinas Glicadas/metabolismo , Diabetes Mellitus Tipo 1/complicações , Diabetes Mellitus Tipo 1/sangue , Feminino , Masculino , Adolescente , Pele/metabolismo , Pré-Escolar , Biomarcadores/sangue , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/epidemiologia , Doença Crônica , Imagem Óptica , Proteína C-Reativa/análise , Proteína C-Reativa/metabolismo , Estudos de Casos e Controles , Doença Celíaca/complicações , Doença Celíaca/sangue , ComorbidadeRESUMO
Introduction: Continue investigating Out-of-Pocket Expenses (OoPEs) and rationing of insulin and diabetes supplies, including impacts of the COVID-19 pandemic, for people with type 1 diabetes (T1D). Methods: A cross-sectional web-based survey was conducted in English and advertised by T1International's global network of patient advocates from May through September 2022. Participants provided monthly OoPEs and rationing frequency for insulin and supplies, impacts of the COVID-19 pandemic, and open-ended comments. Results: In the seven most represented countries, mean monthly OoPEs were highest in the United States, followed by Panama, Canada, and India, and were much lower in the United Kingdom, Germany, and Sweden. OoPEs were highest for participants with partial healthcare coverage, followed by those with no healthcare coverage. The COVID-19 pandemic negatively impacted access and/or affordability of insulin and/or supplies for over half of participants. Globally, 19.5% reported insulin rationing and 36.6% reported rationing glucose testing supplies. Qualitative analysis of open-ended responses identified themes such as 'mental health impacts' and 'limits to life choices.' Discussion: High OoPEs lead to rationing of insulin and supplies for many people with T1D globally. Healthcare systems improvements and price reductions of insulin and supplies are needed to ensure adequate, equitable access for all.
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OBJECTIVES: This study aimed to determine long-term cost-effectiveness of continuous glucose monitoring (CGM) technology versus self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes (T1D) using multiple daily injections in Iran. METHODS: According to available data, the long-term costs and clinical outcomes of CGM and SMBG were estimated using the Sheffield Type 1 Diabetes Model, with a lifetime horizon from a payer's perspective. The primary outcome was the cost per quality-adjusted life year (QALY) gained. RESULTS: The lifetime cost-effectiveness analysis demonstrated that on average, the use of CGM increased life expectancy by 1.32 years and QALYs by 1.63, compared with SMBG. The CGM group had an average discounted total cost of $40 093 US dollars, whereas the SMBG group had an average discounted total cost of $13 366. This resulted in an incremental cost-effectiveness ratio (ICER) of $16 386 per QALY gained, which is less than the threshold of 3 times the gross domestic product (GDP) per capita of Iran ($24 561). CONCLUSIONS: Considering 3 times the GDP per capita as the threshold, CGM is likely to be cost-effective in Iran. However, for CGM to be very cost-effective (ie, have an ICER less than 1 times the GDP per capita) and presumably more accessible, the price of CGM should decrease to $40 per sensor, each with a lifespan of 14 days.
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INTRODUCTION: Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes in real-time using ecological momentary assessment (EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion. METHODS: Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics. RESULTS: In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66) years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR) overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and 94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion. DISCUSSION: High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time.
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Automonitorização da Glicemia , Diabetes Mellitus Tipo 1 , Diabetes Mellitus Tipo 2 , Avaliação Momentânea Ecológica , Hipoglicemia , Aplicativos Móveis , Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Hipoglicemia/psicologia , Hipoglicemia/epidemiologia , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/psicologia , Idoso , Diabetes Mellitus Tipo 1/psicologia , Diabetes Mellitus Tipo 1/sangue , Diabetes Mellitus Tipo 1/complicações , Medidas de Resultados Relatados pelo Paciente , Hipoglicemiantes/uso terapêutico , Glicemia/metabolismo , Glicemia/análise , Adulto , Insulina/uso terapêutico , Insulina/administração & dosagem , Atividades CotidianasRESUMO
BACKGROUND: Self-monitoring of glucose is an essential component of type 1 diabetes (T1D) management. In recent years, continuous glucose monitoring (CGM) has provided an alternative to daily fingerstick testing for the optimisation of insulin dosing and general glucose management in people with T1D. While studies have been conducted to evaluate the impact of CGM on clinical outcomes in the US, Europe and Australia, there are limited data available for low- and middle-income countries (LMICs) and further empirical evidence is needed to inform policy decision around their use in these countries. METHODS: This trial was designed as a pragmatic, parallel-group, open-label, multicentre, three-arm, randomised (1:1:1) controlled trial of continuous or periodic CGM device use versus standard of care in people with T1D in South Africa and Kenya. The primary objective of this trial will be to assess the impact of continuous or periodic CGM device use on glycaemic control as measured by change from baseline glycosylated haemoglobin (HbA1c). Additional assessments will include clinical outcomes (glucose variation, time in/below/above range), safety (adverse events, hospitalisations), quality of life (EQ-5D, T1D distress score, Glucose Monitoring Satisfaction Survey for T1D), and health economic measures (incremental cost-effectiveness ratios, quality adjusted life years). DISCUSSION: This trial aims to address the substantial evidence gap on the impact of CGM device use on clinical outcomes in LMICs, specifically South Africa and Kenya. The trial results will provide evidence to inform policy and treatment decisions in these countries. TRIAL REGISTRATION: NCT05944731 (Kenya), July 6, 2023; NCT05944718 (South Africa), July 13, 2023.
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Diabetes Mellitus Tipo 1 , Hemoglobinas Glicadas , Humanos , Glicemia/análise , Monitoramento Contínuo da Glicose/instrumentação , Análise Custo-Benefício , Diabetes Mellitus Tipo 1/diagnóstico , Diabetes Mellitus Tipo 1/tratamento farmacológico , Hemoglobinas Glicadas/análise , Controle Glicêmico/instrumentação , Hipoglicemiantes/uso terapêutico , Ciência da Implementação , Insulina/uso terapêutico , Quênia , Estudos Multicêntricos como Assunto , Ensaios Clínicos Pragmáticos como Assunto , Qualidade de Vida , África do Sul , Resultado do TratamentoRESUMO
INTRODUCTION: This global survey evaluated the practices and adherence to international Clinical Practice Consensus Guidelines (CPCG) of physicians involved in pediatric diabetes care regarding screening, prevention and treatment of vascular complications of type 1 diabetes (T1D). METHOD: A web-based survey gathering data about respondents' background, practices related to screening, prevention, and treatment of diabetic nephropathy, retinopathy, neuropathy, and macrovascular diseases and a self-assessment of physicians' knowledge based on the ISPAD CPCG 2018 were shared by ISPAD. RESULTS: We received 175 responses from 62 countries (60% female, median age 42.3 years, 72.0% ISPAD members). Two-thirds of respondents initiated nephropathy and retinopathy screening per CPCG recommendations. Only half of them adhered to recommendations for neuropathy and macrovascular disease risk factors (RFs). Over 85% of respondents used the recommended screening method for nephropathy, retinopathy and macrovascular disease RFs, and only 59% for neuropathy. Lack of access to neuropathy and macrovascular diseases RF screening methods was reported by 22.2% and 11.8% of respondents, respectively. Adherence to recommended screening frequency varied: 92% for nephropathy, around two-thirds for neuropathy and macrovascular disease RFs, and only 17.7% for retinopathy. Most participants aligned their practices for treating T1D complications with CPCG recommendations, except for nephropathy. Significant differences in adherence to CPCG and individuals' financial contributions reflected countries' income levels. Around 50% of the respondents were very familiar with the ISPAD CPCG content. CONCLUSION: Our study highlights global variation in adherence to CPCG for T1D vascular complications, which is influenced by country income and healthcare disparities. It also revealed knowledge gaps among physicians on this critical topic.
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Objective: To integrate long-term daily continuous glucose monitoring (CGM) device data with electronic health records (EHR) for patients with type 1 and type 2 diabetes (T1D and T2D) in the national Veterans Affairs Healthcare System to assess real-world patterns of CGM use and the reliability of EHR-based CGM information. Research Design and Methods: This observational study used Dexcom CGM device data linked with EHR (from 2015 to 2020) for a large national cohort of patients with diabetes. We tracked the initiation and consistency of CGM use, assessed concordance of CGM use and measures of glucose control between CGM device data and EHR records, and examined results by age, ethnicity, and diabetes type. Results: The time from pharmacy release of CGM to patients to initiation of uploading CGM data to Dexcom servers averaged 3 weeks but demonstrated wide variation among individuals; importantly, this delay decreased markedly over the later years. The average daily wear time of CGM exceeded 22 h over nearly 3 years of follow-up. Patterns of CGM use were generally consistent across age, race/ethnicity groups, and diabetes type. There was strong concordance between EHR-based estimates of CGM use and Dexcom CGM wear time and between estimates of glucose control from both sources. Conclusions: The study demonstrates our ability to reliably integrate CGM devices and EHR data to provide valuable insights into CGM use patterns. The results indicate in the real-world environment that CGM is worn consistently over many years for both patients with T1D and T2D within the Veterans Affairs Healthcare System and is similar across major race/ethnic groups and age-groups.
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INTRODUCTION: Type 1 diabetes mellitus (T1DM) is mostly diagnosed among young people. Despite the evidence that T1DM is disruptive, and affects individuals' health and cognitive ability, there is dearth of knowledge on the impact of T1DM on schooling in LMICs including Ghana. In this research, we explored the impact of T1DM on the schooling of young people living with the disease, and discussed the results within health selection, social support, and artefactual perspectives of inequality. METHODS: Data were extracted from a qualitative project on T1DM lived experiences in southern Ghana. The study participants were young persons living with T1DM (n = 28) and their caregivers (n = 12). They were purposively recruited to participate in the study using maximum variation and snowball sampling techniques and interviewed in their support group centres, homes, or healthcare facilities using semi-structured interview guides. A computer-assisted qualitative data analysis was performed using QSR NVivo 14 software, and the results were categorised into themes. RESULTS: Three themes were identified from the transcripts. These themes were school and classroom attendance, choice of school, and school/academic performance. T1DM was a major reason for patients' limited contact hours with teachers, school drop-out, preference for day schools rather than boarding, opting for vocational training instead of continuation of formal education, limited concentration at school, and delayed educational progression. CONCLUSION: T1DM impacted the schooling of young people living with the disease. The mechanisms of these impacts, and young peoples lived experiences are not artefactual, but rather support discourses on health selection and inadequate social support for young people living with the disease. The results call for the need to develop educational and social interventions to address these barriers. The full implementation of the Inclusive Education Policy (IEP) may contribute to reducing educational and social inequalities caused by ill-health.
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Diabetes Mellitus Tipo 1 , Pesquisa Qualitativa , Apoio Social , Humanos , Gana , Diabetes Mellitus Tipo 1/psicologia , Adolescente , Masculino , Feminino , Adulto Jovem , Criança , Instituições Acadêmicas , Escolaridade , Fatores Socioeconômicos , Entrevistas como Assunto , AdultoRESUMO
Type 1 diabetes mellitus (T1DM) refers to a metabolic condition where a lack of insulin impairs the usual homeostatic mechanisms to control blood glucose levels. Historically, participation in competitive sport has posed a challenge for those with T1DM, where the dynamic changes in blood glucose during exercise can result in dangerously high (hyperglycaemia) or low blood glucoses (hypoglycaemia) levels. Over the last decade, research and technological development has enhanced the methods of monitoring and managing blood glucose levels, thus reducing the chances of experiencing hyper- or hypoglycaemia during exercise. The introduction of continuous glucose monitoring (CGM) systems means that glucose can be monitored conveniently, without the need for frequent fingerpick glucose checks. CGM devices include a fine sensor inserted under the skin, measuring levels of glucose in the interstitial fluid. Readings can be synchronized to a reader or mobile phone app as often as every 1-5 min. Use of CGM devices is associated with lower HbA1c and a reduction in hypoglycaemic events, promoting overall health and athletic performance. However, there are limitations to CGM, which must be considered when being used by an athlete with T1DM. These limitations can be addressed by individualized education plans, using protective equipment to prevent sensor dislodgement, as well as further research aiming to: (i) account for disparities between CGM and true blood glucose levels during vigorous exercise; (ii) investigate the effects of temperature and altitude on CGM accuracy, and (iii) explore of the sociological impact of CGM use amongst sportspeople without diabetes on those with T1DM.
Assuntos
Atletas , Automonitorização da Glicemia , Glicemia , Diabetes Mellitus Tipo 1 , Humanos , Diabetes Mellitus Tipo 1/sangue , Automonitorização da Glicemia/instrumentação , Automonitorização da Glicemia/métodos , Glicemia/análise , Glicemia/metabolismo , Monitoramento Contínuo da GlicoseRESUMO
Exogenous insulin antibody syndrome (EIAS) has until recently been a rarely described complication of exogenous insulin therapy. EIAS results not only in hyperglycemia, but also in hypoglycemia and occasionally in ketoacidosis (DKA). The incidence of EIAS is increasing probably due to an overall increase in autoimmunity associated with the coronavirus disease 2019 (Covid-19) epidemic resulting in increasing binding of insulin by antibodies. Herein, we describe a case of EIAS occurring in an elderly patient with longstanding type 1 diabetes mellitus (T1DM) who had progressive loss of glycemic control. It responded positively, as we have previously described, to oral mycophenolate mofetil and the use of soluble regular insulin delivered by continuous subcutaneous insulin infusion (CSII). Therefore, EIAS is an increasingly frequent cause of hyperglycemia with and without DKA, and hypoglycemia in subjects with T1DM. Once diagnosed, they can be treated with mycophenolate mofetil and soluble insulin in an outpatient setting, which will decrease the rate of hospitalization and lower the expense of therapy.
RESUMO
INTRODUCTION: This study aims to define the distribution of direct healthcare costs for people with diabetes treated in two healthcare regions in Italy, based on number of comorbidities and treatment regimen. METHODS: This was a retrospective analysis using data from two local health authority administrative databases (Campania and Umbria) in Italy for the years 2014-2018. Data on hospital care, pharmaceutical and specialist outpatient and laboratory assistance were collected. All people with diabetes in 2014-2018 were identified on the basis of at least one prescription of hypoglycemic drugs (ATC A10), hospitalization with primary or secondary diagnosis of diabetes mellitus (ICD9CM 250.xx) or diabetes exemption code (code 013). Subjects were stratified into three groups according to their pharmaceutical prescriptions during the year: Type 1/type 2 diabetes (T1D/T2D) treated with multiple daily injections with insulin (MDI), type 2 diabetes on basal insulin only (T2D-Basal) and type 2 diabetes not on insulin therapy (T2D-Oral). RESULTS: We identified 304,779 people with diabetes during the period for which data was obtained. Analysis was undertaken on 288,097 subjects treated with glucose-lowering drugs (13% T1D/T2D-MDI, 13% T2D-Basal, 74% T2D-Oral). Average annual cost per patient for the year 2018 across the total cohort was similar for people with T1D/T2D-MDI and people with T2D-Basal (respectively 2580 and 2254) and significantly lower for T2D-Oral (1145). Cost of hospitalization was the main driver (47% for T1D/T2D-MDI, 45% for T2D-Basal, 45% for T2D-Oral) followed by drugs/devices (35%, 39%, 43%) and outpatient services (18%, 16%, 12%). Average costs increased considerably with increasing comorbidities: from 459 with diabetes only to 7464 for a patient with four comorbidities. Similar trends were found across all subgroups analysis. CONCLUSION: Annual cost of treatment for people with diabetes is similar for those treated with MDI or with basal insulin only, with hospitalization being the main cost driver. This indicates that both patient groups should benefit from having access to scanning continuous glucose monitoring (CGM) technology which is known to be associated with significantly reduced hospitalization for acute diabetes events, compared to self-monitored blood glucose (SMBG) testing.