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Évaluation d’un programme d’éducation thérapeutique dans le diabète de type 1 : un même programme peut permettre d’atteindre des objectifs différents grâce à une approche centrée sur le patient

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Abstract

Education programs for patients with type 1 diabetes are a major concern in routine hospital care. Not all patients are concerned with poor glycemic control. Some of them have good glycemic control but experience severe or frequent hypoglycemia, and some have none of these problems but would like to enlarge their food choice without increasing HbA1c Our results suggest that the same in-patient education training program, using a patient-centered approach, could achieve patients’ individual therapeutic targets.

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... Population of T1DM patients is very heterogeneous, with different needs and individual targets. Some patients are concerned with poor glycemic control, others by frequent hypoglycemia, and some have none of these problems but would like to enlarge their dietary freedom without increasing HbA1c (128). Therefore, the individual and patient-centered approach is frequently underlined. ...
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INTRODUCTION: L’objectif de ce travail était de comparer l’impact métabolique de l’insulinothérapie fonctionnelle (IF) intégrée à un programme intensif d’éducation thérapeutique sur 24 mois versus une éducation individuelle classique (EIC) chez les sujets diabétiques de type 1 (DT1) avec HbA1c >7%. METHODES: 55 patients DT1 ayant bénéficié d’une formation IF et qui présentaient une HbA1c >7% ont été rétrospectivement apparié sur l'âge, le sexe, la durée de diabète, le type de traitement, l'HbA1c et l'indice de masse corporelle avec 55 patients DT1 issus de la base de données des patients suivi annuellement pour leur diabète de type 1 avec une EIC. L’évolution du taux d’HbA1c, du poids et des doses d’insuline ont été comparées à 0, 12 et 24 mois de suivi. RESULTATS: L’équilibre glycémique initial était similaire dans les deux groupes avec une HbA1c à 8.0% (p=0.26). A 12 mois de suivi, dans le groupe IF, le taux d’HbA1c a diminué de 0.2% (p=0.01) et cette amélioration a été maintenue à 24 mois de suivi (HbA1c à 7.8%). Dans le groupe EIC, le taux d’HbA1c était à 8.2% à 24 mois. A la fin du suivi, la différence entre les taux d’HbA1c était significative (p=0.004) en faveur du groupe FIT, la dose totale d’insuline administrée était de 45.4 ± 14.4 dans le groupe FIT vs 50.8 ± 18.5 dans le groupe EIC (p=0.05) et le poids restait stable dans le deux groupes. CONCLUSION: Le programme d’insulinothérapie fonctionnelle a permis d’améliorer significativement le profil métabolique des patients DT 1 sur 24 mois de suivi.
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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. 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. 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. 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.
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The aim of this study was to evaluate the implementation of a course teaching flexible, intensive insulin therapy on glycaemic control and severe hypoglycaemia in routine care. This is a continuous quality-assurance project involving hospital diabetes centres. Every third year each centre re-examines 50 consecutive patients (evaluation sample) 1 year after participation in the course. Ninety-six diabetes centres in Germany participated and 9,583 patients with type 1 diabetes (190 evaluation samples) were re-examined between 1992 and 2004. The intervention was a 5-day inpatient course for groups of up to ten patients with a fixed curriculum of education and training for dietary flexibility and insulin adjustment. The main outcome measures were HbA1c and severe hypoglycaemia. Mean baseline HbA1c was 8.1%, and had decreased to 7.3% at follow-up; incidence of severe hypoglycaemia was 0.37 events per patient per year prior to intervention and 0.14 after intervention. In mixed-effects models adjusted for effects of centres, age and diabetes duration, the mean difference was -0.7% (95% CI -0.9 to -0.6%, p<0.0001) for HbA1c and -0.21 events per patient per year (95% CI -0.32 to -0.11, p=0.0001) for severe hypoglycaemia, with similar results for evaluation samples, with a maximum of 10% of patients lost to follow-up. Before intervention, the incidence of severe hypoglycaemia was three-fold higher in the lowest quartile than in the highest quartile of HbA1c, whereas the risk was comparable across the range of HbA1c values after intervention. Implemented as part of a continuous quality-assurance programme the self-management programme is effective and safe in routine care. Improvement of glycaemic control can be achieved without increasing the risk of severe hypoglycaemia.
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Diabetes treatment and teaching programs (DTTPs) for type 1 diabetes, which teach flexible intensive insulin therapy to enable dietary freedom, have proven to be safe and effective in routine care. This study evaluates DTTP outcomes in patients at high risk for severe hypoglycemia and severe ketoacidosis. There were 96 diabetes centers that participated between 1992 and 2004. A total of 9,583 routine-care patients with type 1 diabetes were examined before and 1 year after a DTTP. History of repeated severe hypoglycemia/severe ketoacidosis was an indication for DTTP participation. Before-after analyses were performed for subgroups of patients with three or more episodes of severe hypoglycemia or two or more episodes of severe ketoacidosis during the year before a DTTP. Main outcome measures were GHb, severe hypoglycemia, severe ketoacidosis, and hospitalization. A total of 341 participants had three or more episodes of severe hypoglycemia the year before a DTTP. Mean baseline GHb was 7.4 vs. 7.2% after the DTTP, incidence of severe hypoglycemia was 6.1 vs. 1.4 events x patient(-1) x year(-1), and hospitalization was 8.6 vs. 3.9 days x patient(-1) x year(-1). In mixed-effects models taking effects of centers and diabetes duration into account, mean difference was -0.3% (95% CI -0.5 to -0.1%; P = 0.0006) for GHb and -4.7 events x patient(-1) x year(-1) (-5.4 to -4; P < 0.0001) for severe hypoglycemia. A total of 95 patients had two or more episodes of severe ketoacidosis. GHb was 9.4% at baseline versus 8.7% after DTTP; incidence of severe ketoacidosis was 3.3 vs. 0.6 events x patient(-1) x year(-1), and hospitalization was 19.4 vs. 10.2 days x patient(-1) x year(-1). In linear models with diabetes duration as the fixed effect, the adjusted mean difference was -2.7 events x patient(-1) x year(-1) (95% CI -3.3 to -2.1; P < 0.0001) for severe ketoacidosis and -8.1 days (-12.9 to -3.2; P = 0.0014) for hospitalization. Patients at high risk for severe hypoglycemia or severe ketoacidosis may benefit from participation in a standard DTTP for intensive insulin therapy and dietary freedom.
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The results of using status measures to identify any changes in treatment satisfaction strongly suggest a need for specific change instruments designed to overcome the ceiling effects frequently observed at baseline. Status measures may leave little room to show improvement in situations where baseline ceiling effects are observed. A change version of the DTSQ (DTSQc) is compared here with the original status (now called DTSQs) version to test the instruments' comparative ability to demonstrate change. Two multinational, openlabel, randomised-controlled trials (one for patients with type 1 diabetes, the other for type 2) compared new, longer-acting insulin glargine with standard NPH basal insulin. The DTSQs was completed at baseline and the DTSQs and DTSQc at final visit by 351 English- and German-speaking patients. DTSQc scores were compared with change from baseline for the DTSQs, using 3-way analysis of variance, to examine Questionnaire, Treatment and Ceiling effects (i.e. baseline scores at/near ceiling). Significant Questionnaire effects and a Questionnaire x Ceiling interaction (p < 0.001) in both trial datasets showed that the DTSQc detected more improvement in Treatment Satisfaction than the DTSQs, especially when patients had DTSQs scores at/near ceiling at baseline. Additionally, significant Treatment effects favouring insulin glargine (p < 0.001) and a Treatment x Questionnaire interaction (p < 0.019), with the DTSQc showing more benefits, were found in the type 1 trial. Results for Perceived Hyper- and Hypoglycaemia also demonstrated important differences between the questionnaires in the detection of treatment effects. Tests of effect sizes showed these differences in response to change to be significantly in favour of the DTSQc. The DTSQc, used in conjunction with the DTSQs, overcomes the problem of ceiling effects encountered when only the status measure is used and provides a means for new treatments to show greater value than is possible with the DTSQs alone.
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Objective: Evaluation of an ambulatory diabetes teaching and treatment refresher programme (DTTP) for the optimization of intensified insulin therapy in patients with type 1 diabetes (refresher course). Methods: 85 outpatients took part in this prospective multicentre trial. Metabolic and psychosocial data were analyzed at baseline (V1), 6 weeks (V2) and 12 months after DTTP (V3). Results: In patients with baseline HbA1c>7% (88%), HbA1c decreased by 0.36% (p=0.004). The percentage of patients with HbA1c≤7% increased from 21.3 to 34.9% and with HbA1c above 10% decreased from 6.6 to 1.6% at V3. The incidence of hypoglycaemia decreased significantly: non severe hypoglycaemia from 3.31 to 1.39 episodes/pat/week (p=0.001) and severe hypoglycaemia from 0.16 to 0.03 episodes/pat/year (p=0.02). The treatment satisfaction increased by +10 of maximal ±18 points. The negative influence of diabetes on quality of life decreased from -1.93 to -1.69 points (p=0.031). Conclusion: In a group of patients with moderately controlled diabetes type 1 who were already treated with intensified insulin therapy, metabolic control, treatment satisfaction and quality of life were improved after participation in an ambulatory DTTP without increasing insulin dosage, number of injections or insulin species. Practice implications: This DTTP is effective for the optimization of intensified insulin therapy.
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To investigate whether diabetes-specific emotional distress mediates the relationship between depression and glycaemic control in patients with Type 1 and Type 2 diabetes. Data were derived from the baseline assessment of a depression in diabetes screening study carried out in three tertiary diabetes clinics in the Netherlands. Most recent glycated haemoglobin (HbA(1c)) measurement was obtained from medical records. The Centre for Epidemiologic Studies Depression Scale (CES-D) and Problem Areas in Diabetes scale (PAID) were used to measure depression and diabetes-specific emotional distress respectively. Linear regression was performed to examine the mediating effect of diabetes-distress. Complete data were available for 627 outpatients with Type 1 (n = 280) and Type 2 (n = 347) diabetes. Analyses showed that diabetes-distress mediated the relation between depression and glycaemic control and not differently for both disease types. Post-hoc analyses revealed that patients depressed and distressed by their diabetes were in significantly poorer glycaemic control relative to those not depressed nor distressed (HbA(1c) 8.7 +/- 1.7 vs. 7.6 +/- 1.2% in those without depressive symptoms, 7.6 +/- 1.1% in depressed only and 7.7 +/- 1.1% in the distressed only, P < 0.001). Depressed patients without elevated diabetes-distress did not show a significantly increased risk of elevated HbA(1c). In explaining the association between depression and glycaemic control, diabetes-specific emotional distress appears to be an important mediator. Addressing diabetes-specific emotional problems as part of depression treatment in diabetes patients may help improve glycaemic outcomes.
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The objectives of the study were to design and develop a questionnaire to measure individuals' perceptions of the impact of diabetes on their quality of life (QoL). The design of the ADDQoL (Audit of Diabetes Dependent QoL) was influenced by patient-centred principles underlying the SEIQoL interview method. Respondents rate only personally-applicable life domains, indicating importance and impact of diabetes. Fifty-two out-patients with diabetes and 102 attending diabetes education open days provided data for psychometric analyses. Each of the 13 domain-specific ADDQoL items was relevant and important for substantial numbers of respondents. Factor analysis and Cronbach's alpha coefficient of internal consistency (0.85) supported combination of items into a scale. Insulin-treated patients reported greater impact of diabetes on QoL than table/diet-treated patients. People with microvascular complications showed, as expected, greater diabetes-related impairment of QoL than people without complications. Unlike other QoL measures, the ADDQoL is an individualized questionnaire measure of the impact of diabetes and its treatment on QoL. Preliminary evidence of reliability and validity is established for adults with diabetes. Findings suggest that the ADDQoL will be more sensitive to change and responsive to differences than generic QoL measures.
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Efforts to prevent complications of diabetes often overlook the impact of the condition and its treatment on current quality of life (QoL). The Diabetes Treatment Satisfaction Questionnaire (DTSQ) has proved valuable for understanding and measuring patients' treatment satisfaction in assessments of new treatments and strategies. For example, the DTSQ has demonstrated improved patient satisfaction with fast-acting insulin lispro versus standard soluble insulin and with long-acting insulin glargine versus NPH insulin. However, improvements in treatment satisfaction are often inferred to be improvements in overall QoL without recognizing the limited scope of the satisfaction measure. It is necessary to evaluate not only satisfaction with treatment per se but also the impact of diabetes and its treatment on a broad range of life domains in order to assess the impact on QoL. The Audit of Diabetes-Dependent Quality of Life (ADDQoL) measure is a diabetes-specific instrument that assesses the impact of diabetes on 18 life domains. Use of the ADDQoL with people with type 1 or type 2 diabetes has shown, on average, almost universally negative impact of diabetes on all domains. Significant differences have also been shown in the magnitude of effect between insulin-treated and non-insulin-treated patients and patients with and without complications. The negative impact of diabetes on QoL has been observed despite high levels of treatment satisfaction (as measured by the DTSQ). The greatest negative impact was observed for the domain 'Freedom to eat as I wish', indicating the strong influence of dietary restrictions on QoL. Studies to assess the outcomes of treatment approaches designed to improve dietary flexibility are under way.
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Around 25% of the adult Type 1 diabetes population is in persistent poor glycaemic control and thus at increased risk of developing microvascular complications. We here discuss correlates of long-standing poor glycaemic control and review the efficacy of clinical strategies designed to overcome persistent poor control. Only a few studies have identified determinants and correlates of long-standing poor glycaemic control in Type 1 diabetes. There is some evidence implicating genetic factors, as well as lower economic status, and psychological factors, including lack of motivation, emotional distress, depression and eating disorders. Ways of improving glycaemic control include strategies to enable self-management, e.g. motivational strategies, coping-orientated education, psychosocial therapies, and/or intensifying insulin injection therapy plus continuous subcutaneous insulin infusion. Long-standing poor glycaemic control appears to be a heterogeneous and complex phenomenon, for which there is no simple, single solution. Comprehensive psycho-medical assessment in diabetes care may prove useful in tailoring interventions. Further research is warranted, to increase our understanding how psychosocial and biomedical factors, separately and in interaction, determine poor outcomes in Type 1 diabetes.