Flexible eating and flexible insulin dosing in patients with diabetes: Results of an intensive self-management course

Development and Validation of USM-Insulin Adherence Module for Patients with Type 2 Diabetes Mellitus

Background

Many patients with type 2 diabetes mellitus (T2DM) do not achieve the desired glycaemic control despite being treated with insulin. Studies found this due to an improper understanding of insulin function, its intensification process and patients' negative perspective on insulin. We developed an education module to enhance adherence to insulin therapy.

Methods

This study applied a mixed design. It was conducted in three phases: i) Phase I: literature search and focus group discussions (FGDs), ii) Phase II: module development and iii) Phase III: content and face validation of Universiti Sains Malaysia-Insulin Adherence Module (USM-IAM). FGDs were used to gather patients' opinions. All researchers repeatedly discussed about the module content and arrangement, the words and images used, and the grammar in producing the final draft. Specialists and target audience performed content and face validation of the module.

Results

Thirty-six participants were involved in the FGDs. Data saturation was achieved at the 4th FGD. Three themes emerged from qualitative data analysis and were incorporated into the module. USM-IAM was finalised with five units. The content validity index (CVI) was 0.92, while face validity agreements were between 86% and 97%.

Conclusion

The CVI and face agreement for USM-IAM exceed the cut-off point for a sound module. It has good potential to be used as a resource for educating patients in enhancing insulin adherence.

Providing evidence from practice: Evaluating 4.5 years of implementing diabetes education support program in carbohydrate management

OBJECTIVE

To evaluate personal and economical outcomes of CarbSmart, a 3-hour person-centered, theory-based program implemented throughout Australia, targeting optimal dietary carbohydrate management.

METHODS

More than 500 CarbSmart programs were implemented over 4.5 years. Pre-, post-, (N = 4656) and 3-month follow-up assessments (N = 188) of knowledge, empowerment, confidence, and patient activation were collected from people with diabetes. Participant satisfaction and potential annual cost-savings were calculated.

FINDINGS

Repeated measures ANCOVAs showed large improvements pre- to post-program in all outcome variables (d = 0.80-1.68), which were maintained at 3-month follow-up in a sub-sample. Participant satisfaction was high (Net Promoter Score = 72.3). Potential annual cost-savings nation-wide were estimated at US$512million.

CONCLUSION

This paper provides evidence that CarbSmart is effective in improving behavioral indicators of self-management outcomes in Australians living with diabetes.

PRACTICE IMPLICATIONS

CarbSmart has the potential to prevent diabetes-related complications. However, not engaging people living with diabetes with lower levels of patient activation at baseline was recognized as a future opportunity to improve the impact of our service. Strategies are needed to engage people with lower activation levels to improve outcomes in vulnerable and at-risk populations.

FUNDING

The development of CarbSmart was funded by Diabetes WA, the national implementation of CarbSmart by the National Diabetes Services Scheme, an initiative of the Australian Government.

The effectiveness of a comprehensive diabetes program for glycemic control and adherence, and the selection of candidates for sensor-augmented insulin pump therapy

OBJECTIVE

This study aimed to estimate the effectiveness of a comprehensive diabetes program (CDP) in terms of glycemic control, adherence, and the selection of candidates for sensor-augmented insulin pump therapy (SAP).

METHODS

We compared diabetes control before and 6 months after CDP. The program was based on disease management using a logical model dealing with the following: case management, education and coaching, nutritional assessment, and mental health.

RESULTS

The CDP improved glycemic control, HbA1c decreased by 0.56% (p-value=0.004; 95% CI: 0.14-0.98) and 19.1% of the patients reached the HbA1c goal without hypoglycemia. The CDP reduced by 52.4% the indication for SAP due to better glycemic control (36.4%) or non-adherence issues (63.6%); the remaining 47.6% persisted with poor glycemic control despite good adherence and were scaled to SAP. Among the 30 suitable candidates for SAP therapy, 60% did not reach the HbA1c goal and 40% had either hypoglycemic episodes (severe or persistent) or dawn phenomenon. The overall non-adherence rate was 33.3%.

CONCLUSIONS

CDP optimized the selection of suitable candidates for SAP by improving glycemic control and identifying adherence issues early. These results provide evidence of the impact of the implementation of patient selection and educational protocols in the real-life setting of a highly experienced clinic.

Long term quality of life amongst pancreatectomy patients with diabetes mellitus

BACKGROUND

Pancreatogenic diabetes is common after pancreatectomy, and the impact on quality of life (QOL) is poorly understood. The objective of this study was to investigate QOL between diabetic and non-diabetic patients at least five years after pancreatectomy.

METHODS

Patients were recruited from a prospectively maintained institutional database. Participants were administered the Audit of Diabetes-Dependent Quality of Life (ADDQOL). Quality of life was compared between diabetics and non-diabetics using validated European Organization for Research and Treatment of Cancer questionnaires.

RESULTS

80 individuals completed surveys. 55% were female, 80% non-Hispanic white, 44% underwent Whipple, 48% were cystic neoplasms and 39% were adenocarcinoma. Diabetic patients (42.5%) reported comparable EORTC QLQ-C30 and Pan26 scores to non-diabetic patients. Pre-operative diabetic patients reported more dyspnea (p = 0.02) and greater pain (p = 0.02) than new-onset diabetics. Diabetic patients reported an overall ADDQOL quality of life score 'very good' (IQR: excellent, good) though felt life would be much better without diabetes (IQR: very much better, little better). While operation type was not influential, patients diagnosed with cystic neoplasms were almost twice as likely as those with other pathologies to report that life would be much better without diabetes (p < 0.01).

CONCLUSION

At a median of 9.3 years from pancreatic surgery, ADDQoL scores of patients were similar to cohorts of non-pancreatogenic diabetics in the general population. Patients without cancer were more likely to report that diabetes affected their overall QOL, regardless of operation. This study provides nuanced understanding of long-term QOL to improve the informed consent process and post-operative long-term care.

The effectiveness of a comprehensive diabetes program for glycemic control and adherence, and the selection of candidates for sensor-augmented insulin pump therapy

OBJECTIVE

This study aimed to estimate the effectiveness of a comprehensive diabetes program (CDP) in terms of glycemic control, adherence, and the selection of candidates for sensor-augmented insulin pump therapy (SAP).

METHODS

We compared diabetes control before and 6 months after CDP. The program was based on disease management using a logical model dealing with the following: case management, education and coaching, nutritional assessment, and mental health.

RESULTS

The CDP improved glycemic control, HbA1c decreased by 0.56% (p-value=0.004; 95% CI: 0.14-0.98) and 19.1% of the patients reached the HbA1c goal without hypoglycemia. The CDP reduced by 52.4% the indication for SAP due to better glycemic control (36.4%) or non-adherence issues (63.6%); the remaining 47.6% persisted with poor glycemic control despite good adherence and were scaled to SAP. Among the 30 suitable candidates for SAP therapy, 60% did not reach the HbA1c goal and 40% had either hypoglycemic episodes (severe or persistent) or dawn phenomenon. The overall non-adherence rate was 33.3%.

CONCLUSIONS

CDP optimized the selection of suitable candidates for SAP by improving glycemic control and identifying adherence issues early. These results provide evidence of the impact of the implementation of patient selection and educational protocols in the real-life setting of a highly experienced clinic.

Insulin Management for Type 1 Diabetic Patients During Social Alcohol Consumption: The SPRITZ Study

BACKGROUND

There is no data available on the best insulin treatment to counteract the effects of glucose excursions due to a moderate alcohol intake associated with portions of slight fat and protein-containing food, as often the case during social happenings or "happy hours".

INTRODUCTION

This study analyzes the glycemic control and quality of life in 8 adult type 1 diabetic (T1D) patients on insulin-pump therapy which were invited to consume a traditional Italian aperitif ("Spritz" and chips).

METHODS

Patients consumed Spritz aperitif twice: using their habitual bolus, based on carbohydrates (CHO) counting (V1), or with a personalized, advanced bolus (V2) calculated from insulin/Kcal derived from Fats and Proteins (FPU). Post-prandial glucose was continuously monitored; glucose incremental areas (iAUC), glucose peak and time to peak, and estimated change from V1 to V2 from repeated- measures models were computed. Each patient fulfilled validated questionnaires on quality of life, knowledge about diabetes and CHO counting.

RESULTS

After the educational program, a reduced iAUC (0-80 min: -306, p=ns; 40-80 min: -400, p=0.07) due to greater (p=0.03) and prolonged double-wave insulin boluses was observed. Blood glucose peak and time to peak were also reduced. Moreover, improvements in the psycho-affective dimension, as well as in the alimentary knowledge were detected.

CONCLUSION

Therefore, a personalized educational program on CHO + FPU counting together with insulin bolus management can improve glycemic control during social consumption of alcohol, with positive reflections on the psycho-affective dimension. Further studies are mandatory to confirm such preliminary results.

Effects of basic carbohydrate counting versus standard outpatient nutritional education (The BCC Study): study protocol for a randomised, parallel open-label, intervention study focusing on HbA1c and glucose variability in patients with type 2 diabetes

INTRODUCTION

Recommendations on energy intake are key in body weight management to improve glycaemic control in people with type 2 diabetes (T2D). International clinical guidelines recommend a variety of eating patterns to promote energy restriction as the primary dietetic approach to body weight control in managing T2D. In addition, individualised guidance on self-monitoring carbohydrate intake to optimise meal timing and food choices (eg, basic carbohydrate counting (BCC)) is recommended to achieve glycaemic control. However, the evidence for this approach in T2D is limited. The objective of this study was to compare the effect of an educational programme in BCC as add-on to the usual dietary care on glycaemic control in people with T2D.

METHODS AND ANALYSES

The study is designed as a randomised, controlled trial with a parallel-group design. The study duration is 12 months with data collection at baseline, and after 6 and 12 months. We plan to include 226 adults with T2D. Participants will be randomised to one of two interventions: (1) BCC as add-on to usual dietary care or (2) usual dietary care. The primary outcome is changes in glycated haemoglobin A1c or mean amplitude of glycaemic excursions from baseline and after 6-month intervention between and within study groups. Further outcome measures include changes in time in range, body weight and composition, lipid profile, blood pressure, mathematical literacy skills, carbohydrate estimation accuracy, dietary intake, diet-related quality of life, perceived competencies in diet and diabetes and perceptions of an autonomy supportive dietician-led climate, physical activity and urinary biomarkers.

ETHICS AND DISSEMINATION

The protocol has been approved by the Ethics Committee of the Capital Region, Copenhagen, Denmark. Study findings will be disseminated widely through peer-reviewed publications and conference presentations.

TRIAL REGISTRATION NUMBER

NCT03623139.

The psychosocial self-efficacy in adolescents with type 1 diabetes

AIM

To analyse psychosocial self-efficacy in adolescents with type 1 diabetes, evaluate associations between self-efficacy and metabolic control and background variables and determine psychometric properties of the Finnish Diabetes Empowerment Scale (Fin-DES-28).

DESIGN

A descriptive correlational survey.

METHODS

The data were collected with the Finnish Diabetes Empowerment Scale from 13-16-year-old adolescents with type 1 diabetes (N = 189, 34%) in one university hospital district area in 2014.

RESULTS

The level of psychosocial self-efficacy was quite good. The highest scores were in managing the psychosocial aspects of diabetes, followed by assessing dissatisfaction and readiness to change and setting and achieving diabetes goals. The self-efficacy did not correlate with metabolic control or background variables. A positive association was found between self-efficacy and understanding of diabetes and its treatment, adjustment of diabetes to life and the relationship with the doctor and the nurse. The internal consistency of the Finnish Diabetes Empowerment Scale was adequate. The low response rate limits generalization.

Follow-Up Support for Effective type 1 Diabetes self-management (The FUSED Model): A systematic review and meta-ethnography of the barriers, facilitators and recommendations for sustaining self-management skills after attending a structured education programme

Background

People with type 1 diabetes who attend structured education training in self-management using flexible intensive therapy achieve improved blood glucose control and experience fewer episodes of severe hypoglycaemia. However, many struggle to sustain these improvements over time. To inform the design of more effective follow-up support we undertook a review of qualitative studies which have identified factors that influence and inform participants’ self-management behaviours after attending structured education and their need for support to sustain improvements in glycaemic control.

Methods

We undertook a meta-ethnography of relevant qualitative studies, identified using systematic search methods. Studies were included which focused on participants’ experiences of self-managing type 1 diabetes after attending structured education which incorporated training in flexible intensive insulin therapy. A line of argument approach was used to synthesise the findings.

Results

The search identified 18 papers from six studies. The studies included were judged to be of high methodological quality. The line of argument synthesis developed the Follow-Up Support for Effective type 1 Diabetes self-management (FUSED) model. This model outlines the challenges participants encounter in maintaining diabetes self-management practices after attending structured education, and describes how participants try to address these barriers by adapting, simplifying or personalising the self-management approaches they have learned. To help participants maintain the skills taught during courses, the FUSED model presents ten recommendations abstracted from the included papers to provide a logic model for a programme of individualised and responsive follow-up support.

Conclusions

This meta-ethnography highlights how providing skills training using structured education to people with type 1 diabetes does not necessarily result in participants adopting and sustaining recommended changes in behaviour. To help people sustain diabetes self-management skills after attending structured education, it is recommended that support be provided over the longer-term by appropriately trained healthcare professionals which is responsive to individuals’ needs. Although developed to inform support for people with type 1 diabetes, the FUSED model provides a framework that could also be applied to support individuals with other long term conditions which require complex self-management skills to be learned and sustained over time.

Trial registration

PROSPERO registration: CRD42017067961.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3655-z) contains supplementary material, which is available to authorized users.

Intensive structured education for type 1 diabetes management using BERTIE: Long-term follow-up to assess impact on glycaemic control and quality of life indices

AIMS

Bournemouth Type 1 Intensive Education (BERTIE) is a structured education course delivered 1 day a week for 4 weeks for self-management of type 1 diabetes. BERTIE outcomes were analysed to assess long-term effectiveness: primary outcome assessed impact of BERTIE on glycaemic control, secondary outcomes assessed impact on Problem Area in Diabetes (PAID) scale, severe hypoglycaemia and diabetic ketoacidosis incidence (DKA).

METHODS

Prospectively collected outcome data from attendees included glycated haemoglobin (HbA1c), PAID, severe hypoglycaemia and DKA incidence recorded pre-course, 6 months and 1 year post-attendance, with HbA1c assessed annually at subsequent clinic visits.

RESULTS

Between 1999 and 2015, 524 people attended BERTIE with 5 year follow-up in 316 (60.3%) attendees. HbA1c was reduced from 74 ± 17 mmol/mol (8.9 ± 1.6%) at baseline to 71 ± 15 mmol/mol (8.6 ± 1.4%) at 1 year and 70 ± 15 mmol/mol (8.6 ± 1.3%) at 5 years (p < 0.0001); severe hypoglycaemia incidence reduced from 0.8 ± 2.1 to 0.4 ± 2.2 episodes/person/year at 1 year (p < 0.0001); PAID scale reduced from 23 ± 16 to 15 ± 12 (p < 0.0001) at 1 year; DKA incidence was 0.06 ± 0.34 episodes/person/year pre-course and 0.03 ± 0.21 at 1 year (p = 0.5271).

CONCLUSIONS

BERTIE outcome data demonstrate favorable biochemical and psychological outcomes supporting recommendations that structured education be provided to adults with type 1 diabetes.

Diabetes stigma is associated with negative treatment appraisals among adults with insulin-treated Type 2 diabetes: results from the second Diabetes MILES - Australia (MILES-2) survey

AIM

To explore factors associated with negative insulin appraisals among adults with Type 2 diabetes, including perceived and experienced diabetes stigma.

METHODS

The second Diabetes MILES - Australia study (MILES-2) is a national survey of adults with diabetes, focused on behavioural and psychosocial issues. Subgroup analyses were conducted on the responses of 456 adults with insulin-treated Type 2 diabetes (38% women; mean ± sd age: 61.2 ± 8.8 years; diabetes duration: 14.5 ± 7.5 years; years using insulin: 6.4 ± 5.5). Participants completed validated measures of perceived and experienced diabetes stigma (Type 2 Diabetes Stigma Assessment Scale), insulin appraisals [Insulin Treatment Appraisal Scale (ITAS)] and known correlates of insulin appraisals: diabetes-specific distress (Problem Areas In Diabetes scale) and diabetes-specific self-efficacy (Confidence in Diabetes Self-care scale). A multiple linear regression was conducted (N = 279) to determine the contribution of those variables found to be associated with ITAS Negative scores.

RESULTS

Univariable analyses revealed negative insulin appraisals were associated with demographic and self-care characteristics (age, employment status, BMI, years using insulin, injections per day), self-efficacy, diabetes-specific distress and diabetes stigma (all P < 0.01). Number of injections per day [regression coefficient [95% confidence interval]: 0.74 [0.08, 1.40]; P = 0.028], self-efficacy [-0.12 [-0.19, -0.06]; P < 0.001] and diabetes stigma [0.39 (0.31, 0.46); P < 0.001) significantly and independently contributed to the final multivariable model, explaining 58% of the variance in ITAS Negative scores. The independent contribution of diabetes-specific distress was suppressed following the inclusion of diabetes stigma.

CONCLUSIONS

This study represents the first step in understanding the relationship between perceived and experienced diabetes stigma and negative insulin appraisals, and provides quantitative evidence for the strong, independent relationship between these two important constructs.

Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus

Cardiovascular disease is the leading cause of morbidity and mortality globally, with diabetes being an independent risk factor. Adequate diabetes management has proven to be resource-intensive, requiring frequent lab work, primary care and specialist visits, and time-consuming record-keeping by the patient and care team. New mobile health (mHealth) technologies have enhanced how diabetes is managed and care is delivered. While more recent work has investigated mHealth devices as complementary tools in behavioral interventions for diabetes prevention and management, little is still known about the effectiveness of mHealth technology as stand-alone intervention tools for reducing diabetes risk. In addition, more work is needed to identify the role of mHealth technology in treating vulnerable populations to ameliorate cardiovascular health disparities. With advances in mobile health technology development for diabetes prevention and management, these modalities will likely play an increasingly prominent role in reducing cardiometabolic risk for the US population.

Assessing quality of life in diabetes: II - Deconstructing measures into a simple framework

A growing number of instruments measuring diabetes-specific health-related quality of life (HRQOL) have been identified in previous systematic reviews, the most recent being published in 2008. The purpose of this paper is report on an updated systematic review of diabetes-specific HRQOL measures highlighting the time period 2006-2016; to deconstruct existing diabetes-specific HRQOL measures into a simple framework for evaluating the goodness-of-fit between specific research needs and instrument characteristics; and to present core characteristics of measures not yet reported in other reviews to further facilitate scale selection. Using the databases Medline, Pubmed, CINAHL, OVID Embase, and PsycINFO, we identified 20 diabetes-specific HRQOL measures that met our inclusion criteria. For each measure, we extracted eight core characteristics for our measurement selection framework. These characteristics include target population (type 1 vs. type 2), number and type of HRQOL dimensions measured and scored, type of score and calculation algorithm, sensitivity to change data reported in subsequent studies, number of survey items, approximate time length to complete, number of studies using the instrument in the past 10years, and specific languages instruments is translated. This report provides a way to compare and contrast existing diabetes-specific HRQOL measures to aid in appropriate scale selection and utilization.

Quantitative assessment of dietary intake in adults with Type 1 diabetes following flexible insulin therapy education with an active promotion of dietary freedom

Clinical practice guidelines for diabetes include dietary guidelines to address the increased risk of cardiovascular disease.

AIMS

To identify impact of flexible insulin education with an active promotion of dietary freedom on energy and macronutrient intake and achievement of nutrient recommendations in adults with Type 1 diabetes.

METHODS

Dietary assessment was performed prior to and 12months following flexible insulin education. Nutrient intake and the proportion achieving the European Association for the Study of Diabetes (EASD) nutrient guidelines were compared at baseline and post course.

RESULTS

Dietary data were available for 46 participants. Post course reductions were seen in median [IQR] energy kcal/d (1799 [1521-1931] to 1592 [1378-1940], p=0.002), fibre g/1000kcal (14 [12-16] to 13 [11-15], p=0.047), protein g/day (89 ([78-108] to 82 [74-93], p=0.001) and carbohydrate g/day (198 [172-330] to 162 [143-204], p=<0.001). The proportion experiencing at least 1 severe hypoglycaemia event over 12months was significantly reduced (χ(2)=7.7, p=0.006) from baseline (n=13, 26%) to post course (n=3, 6%). Achievement of EASD guidelines was poor and did not change post course.

CONCLUSIONS

Flexible insulin education with an active promotion of dietary freedom does not appear to 'worsen' the achievement of EASD nutrition guidelines in adults with Type 1 diabetes. On the contrary, the dietary changes observed were reductions in energy, carbohydrate and protein intake. Flexible insulin education may offer benefits in enabling reduced energy intake without increasing hypoglycaemia.

The relationship between carbohydrate and the mealtime insulin dose in type 1 diabetes

A primary focus of the nutritional management of type 1 diabetes has been on matching prandial insulin therapy with carbohydrate amount consumed. Different methods exist to quantify carbohydrate including counting in one gram increments, 10g portions or 15g exchanges. Clinicians have assumed that counting in one gram increments is necessary to precisely dose insulin and optimize postprandial control. Carbohydrate estimations in portions or exchanges have been thought of as inadequate because they may result in less precise matching of insulin dose to carbohydrate amount. However, studies examining the impact of errors in carbohydrate quantification on postprandial glycemia challenge this commonly held view. In addition it has been found that a single mealtime bolus of insulin can cover a range of carbohydrate intake without deterioration in postprandial control. Furthermore, limitations exist in the accuracy of the nutrition information panel on a food label. This article reviews the relationship between carbohydrate quantity and insulin dose, highlighting limitations in the evidence for a linear association. These insights have significant implications for patient education and mealtime insulin dose calculations.

The Role of Dietary Protein and Fat in Glycaemic Control in Type 1 Diabetes: Implications for Intensive Diabetes Management

A primary focus of the management of type 1 diabetes has been on matching prandial insulin therapy with carbohydrate amount consumed. However, even with the introduction of more flexible intensive insulin regimes, people with type 1 diabetes still struggle to achieve optimal glycaemic control. More recently, dietary fat and protein have been recognised as having a significant impact on postprandial blood glucose levels. Fat and protein independently increase the postprandial glucose excursions and together their effect is additive. This article reviews how the fat and protein in a meal impact the postprandial glycaemic response and discusses practical approaches to managing this in clinical practice. These insights have significant implications for patient education, mealtime insulin dose calculations and dosing strategies.

A Minority of Patients with Type 1 Diabetes Routinely Downloads and Retrospectively Reviews Device Data

BACKGROUND

In type 1 diabetes (T1D), periodic review of blood glucose and insulin dosing should be performed, but it is not known how often patients review these data on their own. We describe the proportion of patients with T1D who routinely downloaded and reviewed their data at home.

MATERIALS AND METHODS

A cross-sectional survey of 155 adults and 185 caregivers of children with T1D at a single academic institution was performed. "Routine Downloaders" (downloaded four or more times in the past year) were also considered "Routine Reviewers" if they reviewed their data most of the time they downloaded from devices. Logistic regression was used to identify factors associated with being a Routine Reviewer.

RESULTS

Only 31% of adults and 56% of caregivers reported ever downloading data from one or more devices, whereas 20% and 40%, respectively, were considered Routine Downloaders. Only 12% of adults and 27% of caregivers were Routine Reviewers. Mean hemoglobin A1c was lower in Routine Reviewers compared with non-Routine Reviewers (7.2±1.0% vs. 8.1±1.6% [P=0.03] in adults and 7.8±1.4% vs. 8.6±1.7% [P=0.001] in children). In adjusted analysis of adults, the odds ratio of being a Routine Reviewer of one or more devices for every 10-year increase in age was 1.5 (95% confidence interval, 1.1, 2.1 [P=0.02]). For every 10 years since diabetes diagnosis, the odds ratio of being a Routine Reviewer was 1.7 (95% confidence interval, 1.2, 2.4 [P=0.01]). For caregivers, there were no statistically significant factors associated with being a Routine Reviewer.

CONCLUSIONS

A minority of T1D patients routinely downloads and reviews data from their devices on their own. Further research is needed to understand obstacles, provide better education and tools for self-review, and determine if patient self-review is associated with improved glycemic control.

Are changes in glycaemic control associated with diabetes-specific quality of life and health status in screen-detected type 2 diabetes patients? Four-year follow up of the ADDITION-Cambridge cohort

BACKGROUND

Interventions that improve HbA1c levels do not necessarily improve health-related quality of life (QoL). This issue may be particularly relevant in asymptomatic diabetes patients detected earlier in the course of the disease.

METHODS

HbA1c , diabetes-specific QoL (ADDQoL) and health status were measured in 510 screen-detected diabetes patients from the ADDITION-Cambridge trial at 1 and 5 years post diagnosis. Multivariable logistic/linear regression was used to quantify the longitudinal association between change in HbA1c from 1 to 5 years and ADDQoL and health status at 5 years, adjusting for age, sex, education and trial group; alcohol consumption, smoking, physical activity, plasma vitamin C, HbA1c , ADDQoL or health status at 1 year, and glucose-lowering medication at 5 years.

RESULTS

From 1 to 5 years, median HbA1c interquartile range increased from 6.3% (5.9-6.8) to 6.8% (6.4-7.4); the median ADDQoL score and mean health status physical health summary score decreased from -0.4 (-1 to -0.08) to -0.5 (-1.08 to -0.09) (suggesting an adverse impact of diabetes on QoL) and by -0.79 (8.94) points, respectively. Increases in HbA1c were independently associated with reporting a negative impact of diabetes on QoL (OR = 1.38, 95% CI: 1.03 to 1.85) but not with the health status summary scores.

CONCLUSIONS

Increases in HbA1c from 1 to 5 years post-diagnosis were independently associated with increased odds of reporting a negative impact of diabetes on QoL. While our results suggest that efforts to reduce HbA1c do not adversely affect health-related QoL, large numbers of participants still report a negative impact of diabetes on their QoL 5 years post-diagnosis.

A rapid synthesis of the evidence on interventions supporting self-management for people with long-term conditions: PRISMS – Practical systematic RevIew of Self-Management Support for long-term conditions

Background

Despite robust evidence concerning self-management for some long-term conditions (LTCs), others lack research explicitly on self-management and, consequently, some patient groups may be overlooked.

Aim

To undertake a rapid, systematic overview of the evidence on self-management support for LTCs to inform health-care commissioners and providers about what works, for whom, and in what contexts.

Methods

Self-management is ‘the tasks . . . individuals must undertake to live with one or more chronic conditions . . . [including] . . . having the confidence to deal with medical management, role management and emotional management of their conditions’. We convened an expert workshop and identified characteristics of LTCs potentially of relevance to self-management and 14 diverse exemplar LTCs (stroke, asthma, type 2 diabetes mellitus, depression, chronic obstructive pulmonary disease, chronic kidney disease, dementia, epilepsy, hypertension, inflammatory arthropathies, irritable bowel syndrome, low back pain, progressive neurological disorders and type 1 diabetes mellitus). For each LTC we conducted systematic overviews of systematic reviews of randomised controlled trials (RCTs) of self-management support interventions (‘quantitative meta-reviews’); and systematic overviews of systematic reviews of qualitative studies of patients’ experiences relating to self-management (‘qualitative meta-reviews’). We also conducted an original systematic review of implementation studies of self-management support in the LTCs. We synthesised all our data considering the different characteristics of LTCs. In parallel, we developed a taxonomy of the potential components of self-management support.

Results

We included 30 qualitative systematic reviews (including 515 unique studies), 102 quantitative systematic reviews (including 969 RCTs), and 61 studies in the implementation systematic review. Effective self-management support interventions are multifaceted, should be tailored to the individual, their culture and beliefs, a specific LTC and position on the disease trajectory, and underpinned by a collaborative/communicative relationship between the patient and health-care professional (HCP) within the context of a health-care organisation that actively promotes self-management. Self-management support is a complex intervention and although many components were described and trialled in the studies no single component stood out as more important than any other. Core components include (1) provision of education about the LTC, recognising the importance of understanding patients’ pre-existing knowledge and beliefs about their LTC; (2) psychological strategies to support adjustment to life with a LTC; (3) strategies specifically to support adherence to treatments; (4) practical support tailored to the specific LTC, including support around activities of daily living for disabling conditions, action plans in conditions subject to marked exacerbations, intensive disease-specific training to enable self-management of specific clinical tasks; and (5) social support as appropriate. Implementation requires a whole-systems approach which intervenes at the level of the patient, the HCP and the organisation. The health-care organisation is responsible for providing the means (both training and time/material resources) to enable HCPs to implement, and patients to benefit from, self-management support, regularly evaluating self-management processes and clinical outcomes. More widely there is a societal need to address public understanding of LTCs. The lack of public story for many conditions impacted on patient help-seeking behaviour and public perceptions of need.

Conclusions

Supporting self-management is inseparable from the high-quality care for LTCs. Commissioners and health-care providers should promote a culture of actively supporting self-management as a normal, expected, monitored and rewarded aspect of care. Further research is needed to understand how health service managers and staff can achieve this culture change in their health-care organisations.

Study registration

This study is registered as PROSPERO CRD42012002898.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Efficacy of carbohydrate counting in type 1 diabetes: a systematic review and meta-analysis

BACKGROUND

Although carbohydrate counting is the recommended dietary strategy for achieving glycaemic control in people with type 1 diabetes, the advice is based on narrative review and grading of the available evidence. We aimed to assess by systematic review and meta-analysis the efficacy of carbohydrate counting on glycaemic control in adults and children with type 1 diabetes.

METHODS

We screened and assessed randomised controlled trials of interventions longer than 3 months that compared carbohydrate counting with general or alternate dietary advice in adults and children with type 1 diabetes. Change in glycated haemoglobin (HbA1c) concentration was the primary outcome. The results of clinically and statistically homogenous studies were pooled and meta-analysed using the random-effects model to provide estimates of the efficacy of carbohydrate counting.

FINDINGS

We identified seven eligible trials, of 311 potentially relevant studies, comprising 599 adults and 104 children with type 1 diabetes. Study quality score averaged 7·6 out of 13. Overall there was no significant improvement in HbA1c concentration with carbohydrate counting versus the control or usual care (-0·35% [-3·9 mmol/mol], 95% CI -0·75 to 0·06; p=0·096). We identified significant heterogeneity between studies, which was potentially related to differences in study design. In the five studies in adults with a parallel design, there was a 0·64% point (7·0 mmol/mol) reduction in HbA1c with carbohydrate counting versus control (95% CI -0·91 to -0·37; p<0·0001).

INTERPRETATION

There is some evidence to support the recommendation of carbohydrate counting over alternate advice or usual care in adults with type 1 diabetes. Additional studies are needed to support promotion of carbohydrate counting over other methods of matching insulin dose to food intake.

FUNDING

None.

Type 1 diabetes patients' experiences of, and need for, social support after attending a structured education programme: a qualitative longitudinal investigation

AIMS AND OBJECTIVES

To explore patients' experiences of, views about and need for, social support after attending a structured education programme for type 1 diabetes.

BACKGROUND

Patients who attend structured education programmes attain short-term improvements in biomedical and quality-of-life measures but require support to sustain self-management principles over the longer term. Social support can influence patients' self-management practices; however, little is known about how programme graduates use other people's help.

DESIGN

This study was informed by the principles of grounded theory and involved concurrent data collection and analysis. Data were analysed using an inductive, thematic approach.

METHODS

In-depth interviews were undertaken postcourse, six and 12 months later, with 30 adult patients with type 1 diabetes recruited from Dose Adjustment for Normal Eating courses in the United Kingdom.

RESULTS

Patients' preferences for social support from other people ranged from wanting minimal involvement, to benefiting from auxiliary forms of assistance, to regular monitoring and policing. New self-management skills learnt on their courses prompted and facilitated patients to seek and obtain more social support. Support received/expected from parents varied according to when patients were diagnosed, but parents' use of outdated knowledge could act as a barrier to effective support. Support sought from others, including friends/colleagues, was informed by patients' domestic/employment circumstances.

CONCLUSION

This study responds to calls for deeper understanding of the social context in which chronic illness self-management occurs. It highlights how patients can solicit and receive more social support from family members and friends after implementing self-care practices taught on education programmes.

RELEVANCE TO CLINICAL PRACTICE

Health professionals including diabetes specialist nurses and dietitians should explore: patients' access to and preferences for social support; how patients might be encouraged to capitalise on social support postcourse; and new ways to inform/educate people within patients' social networks.

Both dietary protein and fat increase postprandial glucose excursions in children with type 1 diabetes, and the effect is additive

OBJECTIVE

To determine the separate and combined effects of high-protein (HP) and high-fat (HF) meals, with the same carbohydrate content, on postprandial glycemia in children using intensive insulin therapy (IIT).

RESEARCH DESIGN AND METHODS

Thirty-three subjects aged 8-17 years were given 4 test breakfasts with the same carbohydrate amount but varying protein and fat quantities: low fat (LF)/low protein (LP), LF/HP, HF/LP, and HF/HP. LF and HF meals contained 4 g and 35 g fat. LP and HP meals contained 5 g and 40 g protein. An individually standardized insulin dose was given for each meal. Postprandial glycemia was assessed by 5-h continuous glucose monitoring.

RESULTS

Compared with the LF/LP meal, mean glucose excursions were greater from 180 min after the LF/HP meal (2.4 mmol/L [95% CI 1.1-3.7] vs. 0.5 mmol/L [-0.8 to 1.8]; P = 0.02) and from 210 min after the HF/LP meal (1.8 mmol/L [0.3-3.2] vs. -0.5 mmol/L [-1.9 to 0.8]; P = 0.01). The HF/HP meal resulted in higher glucose excursions from 180 min to 300 min (P < 0.04) compared with all other meals. There was a reduction in the risk of hypoglycemia after the HP meals (odds ratio 0.16 [95% CI 0.06-0.41]; P < 0.001).

CONCLUSIONS

Meals high in protein or fat increase glucose excursions in youth using IIT from 3 h to 5 h postmeal. Protein and fat have an additive impact on the delayed postprandial glycemic rise. Protein had a protective effect on the development of hypoglycemia.

Nutrition therapy recommendations for the management of adults with diabetes

There is no standard meal plan or eating pattern that works universally for all people with diabetes. In order to be effective, nutrition therapy should be individualized for each patient/client based on his or her individual health goals; personal and cultural preferences; health literacy and numeracy; access to healthful choices; and readiness, willingness, and ability to change. Nutrition interventions should emphasize a variety of minimally processed nutrient dense foods in appropriate portion sizes as part of a healthful eating pattern and provide the individual with diabetes with practical tools for day-to-day food plan and behavior change that can be maintained over the long term.

Intensification of insulin therapy in patients with type 2 diabetes mellitus: an algorithm for basal-bolus therapy

The incidence of diabetes mellitus is projected to continue to increase worldwide over the next 20 years leading to increased costs in the management of the disease and its associated co-morbidities. Insulin replacement is one of many treatment options that can help to bring about near normoglycemia in the patient with type 2 diabetes mellitus (T2DM). Glycemic control as close to normoglycemia as possible can help to reduce the risk of microvascular and macrovascular complications, yet less than one-half of patients with T2DM achieve glycemic targets as recommended by practice guidelines. The purpose of this review is to provide guidance to primary care physicians for the initiation and intensification of basal-bolus insulin therapy in patients with T2DM. Two treatment algorithms that can be both patient- and physician-driven are proposed: a stepwise approach and a multiple daily injections approach. Evidence shaping the two approaches will be discussed alongside management issues that surround the patient treated with insulin: hypoglycemia, weight gain, patient education, and quality of life.

Patients' experiences of adjusting insulin doses when implementing flexible intensive insulin therapy: a longitudinal, qualitative investigation

AIM

To explore patients' experiences of using flexible intensive insulin therapy, a regimen requiring them to determine and adjust quick-acting and background/basal insulin doses and mealtime ratios.

METHODS

Repeat, in-depth interviews with 30 type 1 diabetes patients converted to flexible intensive insulin therapy recruited from Dose Adjustment for Normal Eating (DAFNE) courses in the UK.

RESULTS

While patients found determination of quick acting insulin doses relatively straightforward, many struggled, over time, to determine the correct mealtime ratios and adjust basal insulin doses independently. Reasons included: lack of confidence and poor analytical skills; deferential attitudes to health professionals; worries about hypoglycaemia; and, lack of record/diary keeping resulting in fixation on current readings and failure to spot patterns and problems. When health professional support was not sought and/or record keeping neglected, patients gradually developed over-reliance on corrective doses to attain blood glucose readings within target ranges.

CONCLUSION

While patients are motivated to use flexible intensive insulin therapy, they expressed a need for on-going health professional input, particularly to support adjustment of background insulin doses and mealtime ratios. The need to sustain diary/record keeping should be emphasised to patients and provision of a dedicated glycaemic support service is recommended.

Facilitating healthy coping in patients with diabetes: a systematic review

PURPOSE

The purpose of this study is to summarize recent literature on approaches to supporting healthy coping in diabetes in 2 specific areas: (1) the impact of different approaches to diabetes treatment on healthy coping and (2) the effectiveness of interventions specifically designed to support healthy coping.

METHODS

A PubMed search identified 129 articles published August 1, 2006, to April 30, 2011, addressing diabetes in relation to emotion, quality of life, depression, adjustment, anxiety, coping, family therapy, behavior therapy, psychotherapy, problem solving, couples therapy, or marital therapy.

RESULTS

Evidence suggests that treatment choice may significantly influence quality of life, with treatment intensification in response to poor metabolic control often improving quality of life. The recent literature provides support for a variety of healthy coping interventions in diverse populations, including diabetes self-management education, support groups, problem-solving approaches, and coping skills interventions for improving a range of outcomes; cognitive behavior therapy and collaborative care for treating depression; and family therapy for improving coping in youths.

CONCLUSIONS

Healthy coping in diabetes has received substantial attention in the past 5 years. A variety of approaches show positive results. Research is needed to compare the effectiveness of different approaches in different populations and determine how to overcome barriers to intervention dissemination and implementation.

Patient empowerment: the need to consider it as a measurable patient-reported outcome for chronic conditions

BACKGROUND

Health policy in the UK and elsewhere is prioritising patient empowerment and patient evaluations of healthcare. Patient reported outcome measures now take centre-stage in implementing strategies to increase patient empowerment. This article argues for consideration of patient empowerment itself as a directly measurable patient reported outcome for chronic conditions, highlights some issues in adopting this approach, and outlines a research agenda to enable healthcare evaluation on the basis of patient empowerment.

DISCUSSION

Patient empowerment is not a well-defined construct. A range of condition-specific and generic patient empowerment questionnaires have been developed; each captures a different construct e.g. personal control, self-efficacy/self-mastery, and each is informed by a different implicit or explicit theoretical framework. This makes it currently problematic to conduct comparative evaluations of healthcare services on the basis of patient empowerment. A case study (clinical genetics) is used to (1) illustrate that patient empowerment can be a valued healthcare outcome, even if patients do not obtain health status benefits, (2) provide a rationale for conducting work necessary to tighten up the patient empowerment construct (3) provide an exemplar to inform design of interventions to increase patient empowerment in chronic disease. Such initiatives could be evaluated on the basis of measurable changes in patient empowerment, if the construct were properly operationalised as a patient reported outcome measure. To facilitate this, research is needed to develop an appropriate and widely applicable generic theoretical framework of patient empowerment to inform (re)development of a generic measure. This research should include developing consensus between patients, clinicians and policymakers about the content and boundaries of the construct before operationalisation. This article also considers a number of issues for society and for healthcare providers raised by adopting the patient empowerment paradigm.

SUMMARY

Healthcare policy is driving the need to consider patient empowerment as a measurable patient outcome from healthcare services. Research is needed to (1) tighten up the construct (2) develop consensus about what is important to include (3) (re)develop a generic measure of patient empowerment for use in evaluating healthcare (4) understand if/how people make trade-offs between empowerment and gain in health status.

Hemoglobin A1c improvements and better diabetes-specific quality of life among participants completing diabetes self-management programs: a nested cohort study

BACKGROUND

Numerous primary care innovations emphasize patient-centered processes of care. Within the context of these innovations, greater understanding is needed of the relationship between improvements in clinical endpoints and patient-centered outcomes. To address this gap, we evaluated the association between glycosylated hemoglobin (HbA1c) and diabetes-specific quality of life among patients completing diabetes self-management programs.

METHODS

We conducted a retrospective cohort study nested within a randomized comparative effectiveness trial of diabetes self-management interventions in 75 diabetic patients. Multiple linear regression models were developed to examine the relationship between change in HbA1c from baseline to one-year follow-up and Diabetes-39 (a diabetes-specific quality of life measure) at one year.

RESULTS

HbA1c levels improved for the overall cohort from baseline to one-year follow-up (t (74) = 3.09, p = .0029). One-year follow up HbA1c was correlated with worse overall quality of life (r = 0.33, p = 0.004). Improvements in HbA1c from baseline to one-year follow-up were associated with greater D-39 diabetes control (β = 0.23, p = .04) and D-39 sexual functioning (β = 0.25, p = .03) quality of life subscales.

CONCLUSIONS

Improvements in HbA1c among participants completing a diabetes self-management program were associated with better diabetes-specific quality of life. Innovations in primary care that engage patients in self-management and improve clinical biomarkers, such as HbA1c, may also be associated with better quality of life, a key outcome from the patient perspective.

How and why do patients with Type 1 diabetes sustain their use of flexible intensive insulin therapy? A qualitative longitudinal investigation of patients' self-management practices following attendance at a Dose Adjustment for Normal Eating (DAFNE) course

BACKGROUND

Conventional insulin therapy requires patients with Type 1 diabetes to adhere to rigid dietary and insulin injection practices. Recent trends towards flexible intensive insulin therapy enable patients to match insulin to dietary intake and lifestyle; however, little work has examined patients' experiences of incorporating these practices into real-life contexts. This qualitative longitudinal study explored patients' experiences of using flexible intensive insulin therapy to help inform the development of effective long-term support.

METHODS

Semi-structured interviews were conducted with 30 adult patients with Type 1 diabetes following participation in a structured education programme on using flexible intensive insulin therapy, and 6 and 12 months post-course. Longitudinal data analysis used an inductive, thematic approach.

RESULTS

Patients consistently reported feeling committed to and wanting to sustain flexible intensive insulin therapy. This regimen was seen as a logical and effective method of self-management, as patients experienced improved blood glucose readings and/or reported feeling better. Implementing and sustaining flexible intensive insulin therapy was enhanced when patients had stable routines, with more challenges reported by those working irregular hours and during weekends/holidays. Some patients re-crafted their lives to make this approach work for them; for instance, by creating dietary routines or adjusting dietary choices.

CONCLUSIONS

Clinical data have shown that flexible intensive insulin therapy can lead to improvement in glycaemic control. This study, drawing on patients' perspectives, provides further endorsement for flexible intensive insulin therapy by demonstrating patients' liking of, and their motivation to sustain, this approach over time. To help patients implement and sustain flexible intensive insulin therapy, follow-up support should encourage them to identify routines to better integrate this regimen into their lives.

Carbohydrate counting improves coping ability and metabolic control in patients with Type 1 diabetes managed by Group Care

BACKGROUND AND AIMS

To assess, in patients with Type 1 diabetes (T1DM), the effects of adding a carbohydrate counting programme (CCP) to continuing education by Group Care on coping ability, quality of life (QoL), knowledge of diabetes, and metabolic control.

MATERIALS AND METHODS

Out of 56 patients with T1DM followed by Group Care, 27 were randomized to receive an 8-session CCP and 29 controls continued Group Care without a CCP. QoL, knowledge, and coping ability were assessed at baseline and after 30 months. Glycated hemoglobin (HbA1c), body weight, blood glucose, hypoglycemic episodes, and insulin dosages were checked every 3 months.

RESULTS

QoL improved (p<0.0001) in both CCP (88.7 ± 9.2 vs 78.0 ± 9.9) and control patients (88.7 ± 12.5 vs 80.4 ± 11.7). At the end of study, patients on CCP had better scores in knowledge [difference 0.72 (95% CI 0.44; 0.99), p<0.0001] and the 3 coping areas [problem solving: 1.75 (1.2; 2.3), p<0.0001; social support seeking: -1.4 (-2.3; -0.48) p<0.005; avoidance: -1.59 (-2.6; -0.56), p<0.005] than controls. All variables showed a greater, although not statistically significant, improvement in patients with poor schooling. At 30 months, HbA1c was lower in the CCP patients than controls (7.2 ± 0.9 vs 7.9 ± 1.4), p<0.05. There were no changes in insulin dosage, hypoglycemic episodes or blood lipids.

CONCLUSIONS

This study confirms that Group Care improves QoL in people with T1DM, but suggests that specific educational and psychological supports are needed to modify adaptation to the disease. The CCP we developed appears effective in promoting change, also in patients with poor schooling.

The evidence for medical nutrition therapy for type 1 and type 2 diabetes in adults

This article reviews the evidence and nutrition practice recommendations from the American Dietetic Association's nutrition practice guidelines for type 1 and type 2 diabetes in adults. The research literature was reviewed to answer nutrition practice questions and resulted in 29 recommendations. Here, we present the recommendations and provide a comprehensive and systematic review of the evidence associated with their development. Major nutrition therapy factors reviewed are carbohydrate (intake, sucrose, non-nutritive sweeteners, glycemic index, and fiber), protein intake, cardiovascular disease, and weight management. Contributing factors to nutrition therapy reviewed are physical activity and glucose monitoring. Based on individualized nutrition therapy client/patient goals and lifestyle changes the client/patient is willing and able to make, registered dietitians can select appropriate interventions based on key recommendations that include consistency in day-to-day carbohydrate intake, adjusting insulin doses to match carbohydrate intake, substitution of sucrose-containing foods, usual protein intake, cardioprotective nutrition interventions, weight management strategies, regular physical activity, and use of self-monitored blood glucose data. The evidence is strong that medical nutrition therapy provided by registered dietitians is an effective and essential therapy in the management of diabetes.

Dose Adjustment for Normal Eating: a qualitative longitudinal exploration of the food and eating practices of type 1 diabetes patients converted to flexible intensive insulin therapy in the UK

AIM

To explore whether, and why, patients change their food and eating practices following conversion to flexible intensive insulin therapy (FIIT), a regimen which requires quick acting insulin doses to be matched to the carbohydrate content of meals/snacks consumed.

METHODS

repeat, in-depth interviews with 30 type 1 diabetes patients converted to FIIT recruited from Dose Adjustment for Normal Eating (DAFNE) courses in the UK. Data were analysed using an inductive, thematic approach.

RESULTS

despite the potential of FIIT to enable greater dietary flexibility and freedom, most patients reported food and eating practices which were remarkably resistant to change. In some cases, FIIT adoption resulted in greater dietary rigidity over time. The opportunities FIIT presented for greater dietary freedom were counterbalanced by new challenges and burdens (e.g. having to simplify food choices to make carbohydrate estimation easier). Due to the emphasis FIIT places on carbohydrate counting, and patients' fears of hypos, low/no carbohydrate foodstuffs sometimes came to be seen as the healthiest or safest options.

CONCLUSION

concerns that FIIT may result in more excessive or unhealthy eating appear largely unfounded; however, consideration needs to be paid to the ways in which patients' conceptualisations of, and relationship with, food may change following FIIT conversion.

A fairy tale of modern insulin therapy in type 1 diabetes

In type 1 diabetes, flexible, intensive insulin management improves not only glycemic control but also dietary freedom and treatment satisfaction. Such flexibility has been made possible with the new insulin analogues (as part of a basal-bolus regime) and is now gaining wide applicability, especially among children and adolescents. This approach requires appropriate individualized patient education. Especially for adolescents, the clinician should be able to guarantee insightful participation in direct response to their attitudes, wishes and needs. This patient-and-doctor collaboration is an ever-challenging duty and has the potential to change the future of the individual diabetic patient.

Bolus guide: a novel insulin bolus dosing decision support tool based on selection of carbohydrate ranges

BACKGROUND

Optimal continuous subcutaneous insulin infusion (CSII) therapy emphasizes the relationship between insulin dose and carbohydrate consumption. One widely used tool (bolus calculator) requires the user to enter discrete carbohydrate values; however, many patients might not estimate carbohydrates accurately. This study assessed carbohydrate estimation accuracy in type 1 diabetes CSII users and compared simulated blood glucose (BG) outcomes using the bolus calculator and the "bolus guide," an alternative system based on ranges of carbohydrate load.

METHODS

Patients (n = 60) estimated the carbohydrate load of a representative sample of meals of known carbohydrate value. The estimated error distribution [coefficient of variation (CV)] was the basis for a computer simulation (n = 1.6 million observations) of insulin recommendations for the bolus guide and bolus calculator, translated into outcome blood glucose (OBG) ranges (< or =60, 61-200, >201 mg/dl). Patients (n = 30) completed questionnaires assessing satisfaction with the bolus guide.

RESULTS

The CV of typical meals ranged from 27.9% to 44.5%. The percentage of simulated OBG for the calculator and the bolus guide in the <60 mg/dl range were 20.8% and 17.2%, respectively, and 13.8% and 15.8%, respectively, in the >200 mg/dl range. The mean and median scores of all bolus guide satisfaction items and ease of learning and use were 4.17 and 4.2, respectively (of 5.0).

CONCLUSION

The bolus guide recommendation based on carbohydrate range selection is substantially similar to the calculator based on carbohydrate point estimation and appears to be highly accepted by type 1 diabetes insulin pump users.