The impact of the covid-19 pandemic on diabetes care: the perspective of healthcare providers across Europe

AIMS

Covid-19 caused changes on the delivery of diabetes care. This study aimed to explore perceptions of healthcare providers across Europe concerning 1) the impact of covid-19 on delivery of diabetes care; 2) impact of changes in diabetes care on experienced workload; 3) experiences with video consultation in diabetes care.

METHODS

Cross-sectional survey among healthcare providers in the Netherlands, United Kingdom, Turkey, Ukraine and Sweden, with a focus on primary care.

RESULTS

The survey was completed by 180 healthcare providers. During the COVID-19 pandemic 57.1% of respondents provided less diabetes care and 72.8% observed a negative impact on people with diabetes. More than half of respondents (61.9%) expressed worries to some extent about getting overloaded by work. Although the vast majority considered their work meaningful (85.6%). Almost half of healthcare providers (49.4%) thought that after the pandemic video-consultation could be blended with face-to-face contact.

CONCLUSIONS

Less diabetes care was delivered and a negative impact on people with diabetes was observed by healthcare providers. Despite healthcare providers' feeling overloaded, mental wellbeing seemed unaffected. Video consultations were seen as having potential. Given the remaining covid-19 risks and from the interest of proactive management of people with diabetes, these findings urge for further exploration of incorporating video consultation in diabetes care.

Shared decision making in primary care: Process evaluation of the intervention in the OPTIMAL study, a cluster randomised trial

AIMS

To analyse the performance of a Shared Decision Making (SDM) intervention, we assessed perceived and experienced SDM in General Practitioners (GPs) and patients with type 2 diabetes (T2DM).

METHODS

Cluster-Randomised Controlled Trial (cRCT) testing the effect of a decision aid. Opinions and experienced role regarding SDM were assessed in 72 patients and 18 GPs with the SDM-Q-9 (range 0-45) and Control Preferences Scale (CPS, 0-5), and observed SDM with the OPTION5 (0-20). SDM at baseline was compared to 24 months' follow-up using paired t-tests.

RESULTS

At baseline, perceived levels of SDM did not significantly differ between GPs and patients with T2DM (difference of 2.3, p = 0.24). At follow-up, mean patients' perceived level of SDM was 7.9 lower compared to baseline (p < 0.01), whereas GPs' opinions had not changed significantly. After both visits, mean CPS scores differed significantly between patients and GPs. OPTION5 scores ranged between 6 and 20.

CONCLUSION

Patients and GPs perceived similar baseline levels of SDM. Two years later, patients perceived less SDM, while GPs did not change their opinion. SDM was appropriate immediately after training, but perhaps GPs fell back in old habits over time. We recommend repeated SDM training.

Key Factors Relevant for Healthcare Decisions of Patients with Type 1 and Type 2 Diabetes in Secondary Care According to Healthcare Professionals

PURPOSE

Understanding which factors are important for healthcare decisions of patients with diabetes in clinical practice is important to personalise diabetes care strategies and tailor care plans to the individual. The main drivers for these healthcare decisions remain unclear. This study assessed which key factors are relevant for healthcare decisions during clinical consultations for patients with type 1 diabetes (T1DM) and type 2 diabetes (T2DM), according to healthcare professionals.

MATERIALS AND METHODS

Annual diabetes reviews were performed as part of a trial assessing the impact of a consultation model facilitating person-centred diabetes care in six hospital outpatient clinics. After each consultation, we asked healthcare professionals to choose a maximum of three out of 20 factors that were most relevant for healthcare decisions about treatment goals and the professional support needed during the upcoming year. Factors were characterised as either person or disease-related. Percentages reflect the number of annual diabetes reviews in which the key factor was reported.

RESULTS

Seventeen physicians and eight diabetes specialist nurses reported the key factors relevant for healthcare decisions in 285 annual diabetes reviews (T1DM n = 119, T2DM n = 166). Healthcare professionals most often reported quality of life (31.9%), motivation (27.0%) and diabetes self-management (25.6%), and to a lesser extent glycaemic control (24.2%), to be important for decisions about treatment goals. For decisions about the professional support needed during the upcoming year patient's preferences (33.7%), diabetes self-management (33.3%), quality of life (27.0%) and motivation (25.6%) were most often considered relevant by healthcare professionals.

CONCLUSION

According to healthcare professionals, person-related factors such as quality of life, diabetes self-management and motivation are predominantly relevant for healthcare decisions about treatment goals and the professional support needed during the upcoming year.

Communicating personalised statin therapy-effects as 10-year CVD-risk or CVD-free life-expectancy: does it improve decisional conflict? Three-armed, blinded, randomised controlled trial

OBJECTIVE

To determine whether communicating personalised statin therapy-effects obtained by prognostic algorithm leads to lower decisional conflict associated with statin use in patients with stable cardiovascular disease (CVD) compared with standard (non-personalised) therapy-effects.

DESIGN

Hypothesis-blinded, three-armed randomised controlled trial SETTING AND PARTICIPANTS: 303 statin users with stable CVD enrolled in a cohort INTERVENTION: Participants were randomised in a 1:1:1 ratio to standard practice (control-group) or one of two intervention arms. Intervention arms received standard practice plus (1) a personalised health profile, (2) educational videos and (3) a structured telephone consultation. Intervention arms received personalised estimates of prognostic changes associated with both discontinuation of current statin and intensification to the most potent statin type and dose (ie, atorvastatin 80 mg). Intervention arms differed in how these changes were expressed: either change in individual 10-year absolute CVD risk (iAR-group) or CVD-free life-expectancy (iLE-group) calculated with the SMART-REACH model (http://U-Prevent.com).

OUTCOME

Primary outcome was patient decisional conflict score (DCS) after 1 month. The score varies from 0 (no conflict) to 100 (high conflict). Secondary outcomes were collected at 1 or 6 months: DCS, quality of life, illness perception, patient activation, patient perception of statin efficacy and shared decision-making, self-reported statin adherence, understanding of statin-therapy, post-randomisation low-density lipoprotein cholesterol level and physician opinion of the intervention. Outcomes are reported as median (25th- 75th percentile).

RESULTS

Decisional conflict differed between the intervention arms: median control 27 (20-43), iAR-group 22 (11-30; p-value vs control 0.001) and iLE-group 25 (10-31; p-value vs control 0.021). No differences in secondary outcomes were observed.

CONCLUSION

In patients with clinically manifest CVD, providing personalised estimations of treatment-effects resulted in a small but significant decrease in decisional conflict after 1 month. The results support the use of personalised predictions for supporting decision-making.

TRIAL REGISTRATION

NTR6227/NL6080.

Person-centered diabetes care and patient activation in people with type 2 diabetes

INTRODUCTION

The American Diabetes Association and the European Association for the Study of Diabetes advocate a person-centered approach to enhance patient engagement in self-care activities. To that purpose, people with diabetes need adequate diabetes knowledge, motivation, skills and confidence. These prerequisites are captured by the concept 'patient activation'. The Dutch Diabetes Federation implemented a person-centered consultation model for the annual diabetes review. To assess its relationship with patient activation, we measured the change in patient activation, and in person and disease-related factors in people with type 2 diabetes after their second person-centered annual review.

RESEARCH DESIGN AND METHODS

Observational study in 47 primary care practices and six outpatient hospital clinics.

FOLLOW-UP

1 year. From 2.617 people with diabetes and capable of completing questionnaires (no additional exclusion criteria) 1.487 (56.8%) participated, 1366 with type 2 diabetes.

MAIN OUTCOME

patient activation (13-item Patient Activation Measure, score 0-100). Before the first and after the second review, participants completed questionnaires. Medical data were retrieved from electronic records. We performed a repeated measure analysis using a linear mixed model in 1299 participants, who completed the first set of questionnaires.

RESULTS

In 1299 participants (41.6% female, mean age 66 years, median diabetes duration 10 years, median glycated hemoglobin (HbA1c) 6.8%/51 mmol/mol), the mean baseline activation level was 58.9 (SD 11.7). Independent of actual diabetes care, activation levels increased 1.53 units (95% CI 0.67 to 2.39, p=0.001). Several diabetes perceptions improved significantly; diabetes distress level decreased significantly. Body mass index (-0.22, 95% CI -0.33 to -0.10, p<0.001) and low-density lipoprotein cholesterol (-2.71 mg/dL, 95% CI -4.64 to -0.77, p=0.004) decreased, HbA1c increased 0.08% (95% CI 0.03 to 0.12) (p=0.001).

CONCLUSIONS

Person-centered diabetes care was associated with a slightly higher patient activation level, improved diabetes perception and small improvements in clinical outcomes. Person-centered care may enhance patient engagement, but one should not expect substantial improvement in patient outcomes in the short term.

Patient-reported outcomes after 10-year follow-up of intensive, multifactorial treatment in individuals with screen-detected type 2 diabetes: the ADDITION-Europe trial

AIMS

To present the longer-term impact of multifactorial treatment of type 2 diabetes on self-reported health status, diabetes-specific quality of life, and diabetes treatment satisfaction at 10-year follow up of the ADDITION-Europe trial.

METHODS

The ADDITION-Europe trial enrolled 3057 individuals with screen-detected type 2 diabetes from four centres [Denmark, the UK (Cambridge and Leicester) and the Netherlands], between 2001 and 2006. Participants were randomized at general practice level to intensive treatment or to routine care . The trial ended in 2009 and a 10-year follow-up was performed at the end of 2014. We measured self-reported health status (36-item Short-Form Health Survey and EQ-5D), diabetes-specific quality of life (Audit of Diabetes-Dependent Quality of Life questionnaire), and diabetes treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire) at different time points during the study period. A mixed-effects model was applied to estimate the effect of intensive treatment (intention-to-treat analyses) on patient-reported outcome measures for each centre. Centre-specific estimates were pooled using a fixed effects meta-analysis.

RESULTS

There was no difference in patient-reported outcome measures between the routine care and intensive treatment arms in this 10-year follow-up study [EQ-5D: -0.01 (95% CI -0.03, 0.01); Physical Composite Score (36-item Short-Form Health Survey): -0.27 (95% CI -1.11, 0.57), Audit of Diabetes-Dependent Quality of Life questionnaire: -0.01 (95% CI -0.11, 0.10); and Diabetes Treatment Satisfaction Questionnaire: -0.20 (95% CI -0.70, 0.29)].

CONCLUSIONS

Intensive, multifactorial treatment of individuals with screen-detected type 2 diabetes did not affect self-reported health status, diabetes-specific quality of life, or diabetes treatment satisfaction at 10-year follow-up compared to routine care.

Factors that influence the intended intensity of diabetes care in a person-centred setting

AIMS

To assess the intended intensity of Type 2 diabetes care and the factors associated with that intensity of care after the annual monitoring visit in which a new person-centred diabetes consultation model including shared decision making was used.

METHODS

We conducted an observational study in 1284 people from 47 general practices and six hospital outpatient clinics. Intensity of care (more, no/minimal change, less) was based on monitoring frequency and referral to other care providers. We used multivariable analyses to determine the factors that were independently associated with intensity of care. Care providers also reported three factors which, in their opinion, determined the intensity of care.

RESULTS

After the consultation, 22.8% of people chose more intensive care, 70.6% chose no/minimal change and 6.6% chose less intensive care. Whether care became more intensive vs not/minimally changed was associated with a high educational level (odds ratio 1.65, CI 1.07 to 2.53; P=0.023), concern about illness (odds ratio 1.08; CI 1.00 to 1.17; P=0.045), goal-setting (odds ratio 6.53, CI 3.79 to 11.27; P<0.001), comorbidities (odds ratio 1.12, CI 1.00 to 1.24; P=0.041) and use of oral blood glucose lowering medication (odds ratio 0.59, CI 0.39 to 0.89; P=0.011). Less intensive care vs no/minimal change was associated with lower diabetes distress levels (odds ratio 0.87, CI 0.79 to 0.97; P=0.009). According to care providers, quality of life, lifestyle, person's preferences and motivation, glycaemic control, and self-management possibilities most frequently determined the intended care.

CONCLUSIONS

In person-centred diabetes care, the intended intensity of care was associated with both disease- and person-related factors.

Population-based screen-detected type 2 diabetes mellitus is associated with less need for insulin therapy after 10 years

INTRODUCTION

With increased duration of type 2 diabetes, most people have a growing need of glucose-lowering medication and eventually might require insulin. Presumptive evidence is reported that early detection (eg, by population-based screening) and treatment of hyperglycemia will postpone the indication for insulin treatment. A treatment legacy effect of population-based screening for type 2 diabetes of about 3 years is estimated. Therefore, we aim to compare insulin prescription and glycemic control in people with screen-detected type 2 diabetes after 10 years with data from people diagnosed with type 2 diabetes seven (treatment legacy effect) and 10 years before during care-as-usual.

RESEARCH DESIGN AND METHODS

Three cohorts were compared: one screen-detected cohort with 10 years diabetes duration (Anglo-Danish-Dutch study of Intensive Treatment in People with Screen-Detected Diabetes in Primary care (ADDITION-NL): n=391) and two care-as-usual cohorts, one with 7-year diabetes duration (Groningen Initiative to Analyze Type 2 Diabetes Treatment (GIANTT) and Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC): n=4473) and one with 10-year diabetes duration (GIANTT and ZODIAC: n=2660). Insulin prescription (primary outcome) and hemoglobin A1c (HbA1c) of people with a known diabetes duration of 7 years or 10 years at the index year 2014 were compared using regression analyses.

RESULTS

Insulin was prescribed in 10.5% (10-year screen detection), 14.7% (7-year care-as-usual) and 19.0% (10-year care-as-usual). People in the 7-year and 10-year care-as-usual groups had a 1.5 (95% CI 1.0 to 2.1) and 1.8 (95% CI 1.3 to 2.7) higher adjusted odds for getting insulin prescribed than those after screen detection. Lower HbA1c values were found 10 years after screen detection (mean 50.1 mmol/mol (6.7%) vs 51.8 mmol/mol (6.9%) and 52.8 mmol/mol (7.0%)), compared with 7 years and 10 years after care-as-usual (MD_adjusted: 1.6 mmol/mol (95% CI 0.6 to 2.6); 0.1% (95% CI 0.1 to 0.2) and 1.8 mmol/mol (95% CI 0.7 to 2.9); and 0.2% (95% CI 0.1 to 0.3)).

CONCLUSION

Population-based screen-detected type 2 diabetes is associated with less need for insulin after 10 years compared with people diagnosed during care-as-usual. Glycemic control was better after screen detection but on average good in all groups.

Effectiveness of diabetes self-management education and support via a smartphone application in insulin-treated patients with type 2 diabetes: results of a randomized controlled trial (TRIGGER study)

Objective

To investigate the effect of diabetes self-management education and support via a smartphone app in individuals with type 2 diabetes on insulin therapy.

Research design and methods

Open two-arm multicenter parallel randomized controlled superiority trial. The intervention group (n=115) received theory and evidence-based self-management education and support via a smartphone app (optionally two or six times per week, once daily at different times). The control group (n=115) received care as usual. Primary outcome: HbA1c at 6 months. Other outcomes included HbA1c ≤53 mmol/mol (≤7%) without any hypoglycemic event, body mass index, glycemic variability, dietary habits and quality of life. We performed multiple imputation and regression models adjusted for baseline value, age, sex, diabetes duration and insulin dose.

Results

Sixty-six general practices and five hospital outpatient clinics recruited 230 participants. Baseline HbA1c was comparable between groups (8.1% and 8.3%, respectively). At 6 months, the HbA1c was 63.8 mmol/mol (8.0%) in the intervention vs 66.2 mmol/mol (8.2%) in the control group; adjusted difference −0.93 mmol/mol (−0.08%), 95% CI −4.02 to 2.17 mmol/mol (−0.37% to 0.20%), p=0.557. The odds for achieving an HbA1c level ≤7% without any hypoglycemic event was lower in the intervention group: OR 0.87, 95% CI 0.33 to 2.35. There was no effect on secondary outcomes. No adverse events were reported.

Conclusions

This smartphone app providing diabetes self-management education and support had small and clinically not relevant effects. Apps should be more personalized and target individuals who think the app will be useful for them.

Trial registration number

NTR5515.

Long-term effects of intensive multifactorial therapy in individuals with screen-detected type 2 diabetes in primary care: 10-year follow-up of the ADDITION-Europe cluster-randomised trial

BACKGROUND

The multicentre, international ADDITION-Europe study investigated the effect of promoting intensive treatment of multiple risk factors among people with screen-detected type 2 diabetes over 5 years. Here we report the results of a post-hoc 10-year follow-up analysis of ADDITION-Europe to establish whether differences in treatment and cardiovascular risk factors have been maintained and to assess effects on cardiovascular outcomes.

METHODS

As previously described, general practices from four centres (Denmark, Cambridge [UK], Leicester [UK], and the Netherlands) were randomly assigned by computer-generated list to provide screening followed by routine care of diabetes, or screening followed by intensive multifactorial treatment. Population-based stepwise screening programmes among people aged 40-69 years (50-69 years in the Netherlands), between April, 2001, and December, 2006, identified patients with type 2 diabetes. Allocation was concealed from patients. Following the 5-year follow-up, no attempts were made to maintain differences in treatment between study groups. In this report, we did a post-hoc analysis of cardiovascular and renal outcomes over 10 years following randomisation, including a 5 years post-intervention follow-up. As in the original trial, the primary endpoint was a composite of first cardiovascular event, including cardiovascular mortality, cardiovascular morbidity (non-fatal myocardial infarction and non-fatal stroke), revascularisation, and non-traumatic amputation, up to Dec 31, 2014. Analyses were based on the intention-to-treat principle. ADDITION-Europe is registered with ClinicalTrials.gov, NCT00237549.

FINDINGS

343 general practices were randomly assigned to routine diabetes care (n=176) or intensive multifactorial treatment (n=167). 317 of these general practices (157 in the routine care group, 161 in the intensive treatment group) included eligible patients between April, 2001, and December, 2006. Of the 3233 individuals with screen-detected diabetes, 3057 agreed to participate (1379 in the routine care group, 1678 in the intensive treatment group), but at the 10-year follow-up 14 were lost to follow-up and 12 withdrew, leaving 3031 to enter 10-year follow-up analysis. Mean duration of follow-up was 9·61 years (SD 2·99). Sustained reductions over 10 years following diagnosis were apparent for bodyweight, HbA_1c, blood pressure, and cholesterol in both study groups, but between-group differences identified at 1 and 5 years were attenuated at the 10-year follow-up. By 10 years, 443 participants had a first cardiovascular event and 465 died. There was no significant difference between groups in the incidence of the primary composite outcome (16·1 per 1000 person-years in the routine care group vs 14·3 per 1000 person-years in the intensive treatment group; hazard ratio [HR] 0·87, 95% CI 0·73-1·04; p=0·14) or all-cause mortality (15·6 vs 14·3 per 1000 person-years; HR 0·90, 0·76-1·07).

INTERPRETATION

Sustained reductions in glycaemia and related cardiovascular risk factors over 10 years among people with screen-detected diabetes managed in primary care are achievable. The differences in prescribed treatment and cardiovascular risk factors in the 5 years following diagnosis were not maintained at 10 years, and the difference in cardiovascular events and mortality remained non-significant.

FUNDING

National Health Service Denmark, Danish Council for Strategic Research, Danish Research Foundation for General Practice, Novo Nordisk, Novo Nordisk Foundation, Danish Centre for Evaluation and Health Technology Assessment, Danish National Board of Health, Danish Medical Research Council, Aarhus University Research Foundation, Astra, Pfizer, GlaxoSmithKline, Servier, HemoCue, Wellcome Trust, UK Medical Research Council, UK National Institute for Health Research, UK National Health Service, Merck, Julius Center for Health Sciences and Primary Care, UK Department of Health, and Nuts-OHRA.

Depressive symptoms and quality of life after screening for cognitive impairment in patients with type 2 diabetes: observations from the Cog-ID cohort study

OBJECTIVES

To assess changes in depressive symptoms and health-related quality of life (HRQOL) after screening for cognitive impairment in people with type 2 diabetes.

DESIGN

A prospective cohort study, part of the Cognitive Impairment in Diabetes (Cog-ID) study.

SETTING

Participants were screened for cognitive impairment in primary care. People suspected of cognitive impairment (screen positives) received a standardised evaluation at a memory clinic.

PARTICIPANTS

Participants ≥70 years with type 2 diabetes were included in Cog-ID between August 2012 and September 2014, the current study includes 179 patients; 39 screen positives with cognitive impairment, 56 screen positives without cognitive impairment and 84 participants not suspected of cognitive impairment during screening (screen negatives).

OUTCOME MEASURES

Depressive symptoms and HRQOL assessed with the Center for Epidemiologic Studies Depression Scale (CES-D), 36-Item Short-Form Health Survey, European Quality of Life-5 Dimensions questionnaire and the EuroQol Visual Analogue Scale. Outcomes were assessed before the screening, and 6 and 24 months after screening. An analysis of covariance model was fitted to assess differences in score changes among people diagnosed with cognitive impairment, screen negatives and screen positives without cognitive impairment using a factor group and baseline score as a covariate.

RESULTS

Of all participants, 60.3% was male, mean age was 76.3±5.0 years, mean diabetes duration 13.0±8.5 years. At screening, participants diagnosed with cognitive impairment had significantly more depressive symptoms and a worse HRQOL than screen negatives. Scores of both groups remained stable over time. Screen positives without cognitive impairment scored between the other two groups at screening, but their depressive symptoms decreased significantly during follow-up (mean CES-D: -3.1 after 6 and -2.1 after 24 months); their HRQOL also tended to improve.

CONCLUSIONS

Depressive symptoms are common in older people with type 2 diabetes. Screening for and a subsequent diagnosis of cognitive impairment will not increase depressive symptoms.

People with type 2 diabetes and screen-detected cognitive impairment use acute health care services more often: observations from the COG-ID study

BACKGROUND

Patients with type 2 diabetes have an increased risk of cognitive impairment which can lead to impaired diabetes self-management and an increased risk of diabetes-related complications. Routine screening for cognitive impairment in elderly patients with type 2 diabetes is therefore increasingly advocated. The aim of this study is to investigate whether people with type 2 diabetes and screen-detected cognitive impairment use acute health care services more often than patients not suspected of cognitive impairment.

METHODS

People with type 2 diabetes ≥ 70 years were screened for cognitive impairment in primary care. Diagnoses in screen positives were established at a memory clinic. Information about acute health care use was collected for 2 years prior to and 2 years after screening and compared to screen negatives.

RESULTS

154 participants (38% female, mean age 76.7 ± 5.2 years, diabetes duration 8.7 ± 8.2 years) were included, 37 patients with cognitive impairment, 117 screen negatives. A higher percentage of participants with cognitive impairment compared to screen negative patients used acute health care services; this difference was significant for general practitioner's out of hours services (56% versus 34% used this service over 4 years, p = 0.02). The mean number of acute health care visits was also higher in those with cognitive impairment than in screen negatives (2.2 ± 2.8 versus 1.4 ± 2.2 visits in 4 years, p < 0.05; 1.4 ± 2.2 versus 0.7 ± 1.5 visits in 2 years after screening, p = 0.03). Factors that could have played a role in this increased risk of acute health care services use were a low educational level, the presence of depressive symptoms (CES-D score ≥ 16), self-reported problems in self-care and self-reported problems in usual activities.

CONCLUSIONS

People with type 2 diabetes and screen-detected cognitive impairment use acute health care services more often.

Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes

Aims

Information and communications technology (ICT) could support care organisations to cope with the increasing number of patients with diabetes mellitus. We aimed to aid diabetes care providers in allocating patients to the preferred treatment setting (hospital outpatient clinic or primary care practice), by using the Electronic Medical Record (EMR).

Methods

A cluster randomised controlled trial. Physicians in primary and secondary care practices of the intervention group received an advisory message in the EMR during diabetes consultations if patients were treated in the ‘incorrect’ setting according to national management guidelines. Primary outcome: the proportion of patients that shifted to the correct treatment setting at one year follow-up.

Results

47 (38 primary care and 9 internist) practices and 2778 patients were included. At baseline, 1197 (43.1%) patients were in the correct treatment setting (intervention 599; control 598). Advice most often (68.4%) regarded a consultation with the internist. After one year 12.4% of the patients in the intervention and 10.6% in the control group (p = 0.30) had shifted to the correct setting. Main reasons for not following advice were: 1. physician’s preference to consider other treatment options; 2. patients’ preferences.

Conclusions

We could not find evidence that using the EMR to send consultation-linked advice to physicians resulted in a shift in patients. Physicians will not follow the advice, at least partly due to patients’ preferences.

Applicability of diagnostic constructs for cognitive impairment in patients with type 2 diabetes mellitus

AIMS

Type 2 diabetes mellitus (T2DM) is associated with subtle cognitive changes, but also with more severe stages of cognitive dysfunction, including mild cognitive impairment (MCI) and dementia. For these severe stages, it is uncertain which domains are primarily affected and if all patients with impairment are captured by formal criteria for MCI or dementia.

METHODS

Ninety-five patients with T2DM suspected of cognitive impairment, identified through screening in primary care, underwent neuropsychological examination assessing five different domains. MCI or dementia were diagnosed using formal criteria.

RESULTS

Forty-seven participants (49%) had impairment on at least one domain, most often involving memory (30%), information processing speed (22%) and visuoperception and construction (22%). Of these 47 people, 29 (62%) had multi-domain impairment. Of the 47 participants with objective impairment, 36 (77%) met criteria for MCI, three (6%) for dementia and eight (17%) met neither diagnosis, mostly because these patients did not complain about acquired dysfunction.

CONCLUSIONS

This study shows that the clinical diagnostic evaluation of cognitive impairment in patients with T2DM should take into account that multiple domains can be affected and that not all patients with objective cognitive impairment fulfill criteria for MCI or dementia.

The associations between diabetes distress and self-efficacy, medication adherence, self-care activities and disease control depend on the way diabetes distress is measured: Comparing the DDS-17, DDS-2 and the PAID-5

AIMS

To examine whether diabetes distress (DD), when measured by three different instruments, was associated differently with self-efficacy, self-care activity, medication adherence and disease control in people with Type 2 diabetes mellitus.

METHODS

A cross-sectional study in three health clinics. DD was assessed with the 17-item Diabetes Distress Scale, the 2-item DDS-2 (DDS-2) and the 5-item Problem Areas in Diabetes Scale (PAID-5). Dependent variables included self-efficacy, self-care activities, medication adherence, HbA_1c, systolic and diastolic blood pressure (SBP, DBP). Multiple linear and logistic regression were used in analyses.

RESULTS

In total 338 participants (56% women), with a mean age of 61 years and diabetes duration of 9.8 years, were included. DDS-2 was an independent determinant of SBP (β = 1.89, 95% CI 0.14, 3.64), DBP (β = 1.19, 95% CI 0.16, 2.21) and blood pressure target (OR = 2.09, 95% CI 1.12, 3.83). PAID-5 was an independent determinant of medication adherence (adjusted β = -0.05, 95% CI -0.08, -0.01) and self-care activities (OR = 0.50, 95% CI 0.26, 0.99).

CONCLUSIONS

Associations of DD with important aspects of diabetes care are substantially influenced by confounders and depend on the way DD is measured. Our findings call for a judicious use of different DD measures in clinical practice and research. The study is registered on ClinicalTrials.gov (NCT02730754).

Diabetes care providers' opinions and working methods after four years of experience with a diabetes patient web portal; a survey among health care providers in general practices and an outpatient clinic

BACKGROUND

To gain insight into the opinions and working methods of diabetes care providers after using a diabetes web portal for 4 years in order to understand the role of the provider in patients' web portal use.

METHODS

Survey among physicians and nurses from general practices and an outpatient clinic, correlated with data from the common web portal.

RESULTS

One hundred twenty-eight questionnaires were analysed (response rate 56.6%). Responders' mean age was 46.2 ± 9.8 years and 43.8% were physicians. The majority was of opinion that the portal improves patients' diabetes knowledge (90.6%) and quality of care (72.7%). Although uploading glucose diary (93.6%) and patient access to laboratory and clinical notes (91.2 and 71.0%) were considered important, these features were recommended to patients in only 71.8 and 19.5% respectively. 64.8% declared they informed their patients about the portal and 45.3% handed-out the information leaflet and website address. The portal was especially recommended to type 1 diabetes patients (78.3%); those on insulin (84.3%) and patients aged< 65 years (72.4%). Few found it timesaving (21.9%). Diabetes care providers' opinions were not associated with patients' portal use.

CONCLUSIONS

Providers are positive about patients web portals but still not recommend or encourage the use to all patients. There seems room for improvement in their working methods.

The effectiveness of an emotion-focused educational programme in reducing diabetes distress in adults with Type 2 diabetes mellitus (VEMOFIT): a cluster randomized controlled trial

AIMS

To evaluate the effectiveness of a brief, value-based emotion-focused educational programme (VEMOFIT) in Malay adults with Type 2 diabetes mellitus compared with a programme of active listening to participants' emotional experiences, social support and their opinion on the health clinic diabetes care services (attention control).

METHODS

Malay adults with severe diabetes distress [Diabetes Distress Scale (DDS-17) mean score ≥ 3] were included. VEMOFIT consisted of four biweekly group sessions, a booster session after 3 months and a follow-up 6 months post intervention. The attention control programme consisted of three sessions over the same period. Outcomes included diabetes distress, depressive symptoms, self-efficacy and disease control. Required total sample size was 165.

RESULTS

Participants (n = 124) were randomized to either VEMOFIT (n = 53) or the attention control programme (n = 71). Participants had a mean (sd) age of 55.7 (9.7) years, median diabetes duration of 7.0 (8.0) years and mean HbA_1c level of 82 mmol/mol (9.7%). The mean DDS-17 level decreased significantly in both the VEMOFIT and the attention control programmes (3.4 to 2.9 vs. 3.1 to 2.7, respectively). The adjusted between-group DDS-17 difference was not significant [-0.01, 95% confidence interval (CI) -0.38, 0.35]. The proportion of individuals with severe diabetes distress decreased in both groups, from 89% to 47% vs. 69% to 39% (odds ratio 0.88; 95% CI 0.26, 2.90). Other outcomes did not differ between groups.

CONCLUSIONS

Both interventions decreased diabetes distress significantly. The theory-based VEMOFIT programme was not superior to the attention control programme. The latter approach is a simpler way to decrease severe diabetes distress (Trial registration: NCT02730078; NMRR-15-1144-24803).

Implementation of a Structured Diabetes Consultation Model to Facilitate a Person-Centered Approach: Results From a Nationwide Dutch Study

OBJECTIVE

We assessed both from a patient and provider perspective the usefulness and added value of a consultation model that facilitates person-centered diabetes care.

RESEARCH DESIGN AND METHODS

The model consists of 1) inventory of disease and patient-related factors; 2) setting personal goals; 3) choosing treatment; and 4) determination of required care. It was implemented in 47 general practices and 6 hospital outpatient clinics. Providers were trained, and patients were recommended to prepare their visit. All filled out a questionnaire after every consultation. Differences between primary and secondary care practices and between physician-led and nurse-led consultations were analyzed.

RESULTS

Seventy-four physicians and thirty-one nurses participated, reporting on 1,366 consultations with type 2 diabetes patients. According to providers, the model was applicable in 72.4% (nurses 79.3% vs. physicians 68.5%, P < 0.001). Physicians more often had a consultation time <25 min (80.4% vs. 56.9%, P < 0.001). According to providers, two of three patients spoke more than half of the consultation time (outpatient clinics 75.2% vs. general practices 66.6%, P = 0.002; nurses 73.2% vs. physicians 64.4%, P = 0.001). Providers stated that person-related factors often determined treatment goals. Almost all patients (94.4%) reported that they made shared decisions; they felt more involved than before (with physicians 45.1% vs. with nurses 33.6%, P < 0.001) and rated the consultation 8.6 of 10. After physician-led consultations, 52.5% reported that the consultation was better than before (nurse visit 33.7%, P < 0.001).

CONCLUSIONS

A consultation model to facilitate person-centered care seems well applicable and results in more patient involvement, including shared decision making, and is appreciated by a substantial number of patients.

Antimicrobial resistance in women with urinary tract infection in primary care: No relation with type 2 diabetes mellitus

AIMS

To determine if type 2 diabetes mellitus (T2DM) is associated with the spectrum of uropathogens and antimicrobial resistance in urinary tract infections (UTI) in primary care.

METHODS

A cross-sectional study in female outpatients ≥30 years with positive urine cultures. T2DM patients were 1:1 matched to controls by age group and general practitioner (GP). GPs were sent questionnaires for additional data. Uropathogens and resistance patterns were compared between patients with and without T2DM. Multivariable regression analysis was performed to assess the independent association between T2DM and resistance to first line treatments, defined as resistance to nitrofurantoin, trimethoprim, fosfomycin, ciprofloxacin, amoxicillin/clavulanic acid and/or trimethoprim/sulfamethoxazole.

RESULTS

In 566 urine cultures, 680 uropathogens were found. Resistance to first line treatment antibiotics was present in 62.5% of patients. Frequencies and resistance rates of uropathogens did not differ between both groups of patients. Previous UTI and previous hospital admission were independent risk factors for resistance, but T2DM was not.

CONCLUSIONS

In this study T2DM was not an independent risk factor for antimicrobial resistance in UTI in primary care. Previous UTI and hospitalisation are drivers of resistance and should be included in the decision to perform a urine culture to target first line UTI treatment.

How to choose the most appropriate cognitive test to evaluate cognitive complaints in primary care

BACKGROUND

Despite the wealth of research devoted to the performance of individual cognitive tests for diagnosing cognitive impairment (including mild cognitive impairment and dementia), it can be difficult for general practitioners to choose the most appropriate test for a patient with cognitive complaints in daily practice. In this paper we present a diagnostic algorithm for the evaluation of cognitive complaints in primary care. The rationale behind this algorithm is that the likelihood of cognitive impairment -which can be determined after history taking and an informant interview- should determine which cognitive test is most suitable.

METHODS

We distinguished three likelihoods of cognitive impairment: not likely, possible or likely. We selected cognitive tests based on pre-defined required test features for each of these three situations and a review of the literature. We incorporated the cognitive tests in a practical diagnostic algorithm.

RESULTS

Based on the available literature, in patients with complaints but where cognitive impairment is considered to be unlikely the clock-drawing test can be used to rule out cognitive impairment. When cognitive impairment is possible the Montreal cognitive assessment can be used to rule out cognitive impairment or to make cognitive impairment more likely. When cognitive impairment is likely the Mini-Mental State Examination can be used to confirm the presence of cognitive impairment.

CONCLUSIONS

We propose a diagnostic algorithm to increase the efficiency of ruling out or diagnosing cognitive impairment in primary care. Further study is needed to validate and evaluate this stepwise diagnostic algorithm.

Oral Hypoglycemic Agents Added to Insulin Monotherapy for Type 2 Diabetes

CLINICAL QUESTION

Among patients with type 2 diabetes mellitus who do not achieve optimal glycemic control with insulin monotherapy, is the addition of oral hypoglycemic agents associated with benefits (measured by lowering of hemoglobin A1c) or adverse effects?

BOTTOM LINE

Adding a sulfonylurea to insulin was associated with more hypoglycemic events compared with insulin alone, but this association was not observed for metformin. Adding a sulfonylurea or metformin to insulin was associated with a decrease in hemoglobin A1c of approximately 1.0%.

Validity and reliability of a Malay version of the brief illness perception questionnaire for patients with type 2 diabetes mellitus

BACKGROUND

Illness perceptions involve the personal beliefs that patients have about their illness and may influence health behaviours considerably. Since an instrument to measure these perceptions for Malay population in Malaysia is lacking, we translated and examined the psychometric properties of the Malay version of the Brief Illness Perception Questionnaire (MBIPQ) in adult patients with type 2 diabetes mellitus.

METHODS

The MBIPQ has nine items, all use a 0-10 response scale, except the ninth item about causal factors, which is an open-ended item. A standard procedure was used to translate and adapt the English BIPQ into Malay language. Construct validity was examined comparing item scores and scores on the Diabetes Management Self-Efficacy Scale, the Morisky Medication Adherence Scale, the World Health Organization Quality of Life-brief, the 9-item Patient Health Questionnaire, the 17-item Diabetes Distress Scale, HbA1c and the presence of complications. In addition, 2-week and 4-week test-retest reliability were studied.

RESULTS

A total of 312 patients completed the MBIPQ. Out of this, 97 and 215 patients completed the 2- or 4-weeks test-retest reliability questionnaire, respectively. Moderate inter-items correlations were observed between illness perception dimensions (r = -0.31 to 0.53). MBIPQ items showed the expected correlations with self-efficacy (r = 0.35), medication adherence (r = 0.29), quality of life (r = -0.17 to 0.31) and depressive symptoms (r = -0.18 to 0.21). People with severe diabetes-related distress also were more concern (t-test = 4.01, p < 0.001) and experienced lower personal control (t-test = 2.07, p = 0.031). People with any diabetes-related complication perceived the consequences as more serious (t-test = 2.04, p = 0.044). The 2-week and 4-week test-retest reliabilities varied between ICC_agreement 0.39 to 0.70 and 0.58 to 0.78, respectively.

CONCLUSIONS

The psychometric properties of items in the MBIPQ are moderate. The MBIPQ showed good cross-cultural validity and moderate construct validity. Test-retest reliability was moderate. Despite the moderate psychometric properties, the MBIPQ may be useful in clinical practice as it is a useful instrument to elicit and communicate on patient's personal thoughts and feelings. Future research is needed to establish its responsiveness and predictive validity.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02730754 registered on March 29, 2016; NCT02730078 registered on March 29, 2016.

What determines treatment satisfaction of patients with type 2 diabetes on insulin therapy? An observational study in eight European countries

OBJECTIVE

Patients with type 2 diabetes (T2DM) on insulin therapy are less satisfied with their diabetes treatment than those on oral hypoglycaemic therapies or lifestyle advice only. Determinants of satisfaction in patients with T2DM on insulin therapy are not clearly known. The aim of this study was to determine the association of treatment satisfaction with demographic and clinical characteristics of patients with T2DM.

DESIGN

For this study we used data from the GUIDANCE (Guideline Adherence to Enhance Care) study, a cross-sectional study among 7597 patients with T2DM patients from Belgium, France, Germany, Ireland, Italy, Sweden, the Netherlands and the UK. The majority of patients were recruited from primary care. Treatment satisfaction was assessed by the Diabetes Treatment Satisfaction Questionnaire (DTSQ, score 0-36; higher scores reflecting higher satisfaction). To determine which patient characteristics and laboratory values were independently associated with treatment satisfaction, a linear mixed model analysis was used.

PARTICIPANTS

In total, 1984 patients on insulin were analysed; the number of included patients per country ranged from 166 (the Netherlands) to 384 (Italy).

RESULTS

The mean DTSQ score was 28.50±7.52 and ranged from 25.93±6.57 (France) to 30.11±5.09 (the Netherlands). Higher DTSQ scores were associated with having received diabetes education (β 1.64, 95% CI 0.95 to 2.32), presence of macrovascular complications (β 0.76, 95% CI 0.21 to 1.31) and better health status (β 0.08 for every one unit increase on a 0-100 scale, 95% CI 0.07 to 0.10). Lower DTSQ scores were associated with more frequently perceived hyperglycaemia (β -0.32 for every 1 unit increase on a seven-point Likert scale, 95% CI -0.50 to -0.13), and higher glycated haemoglobin (β -0.52 for every percentage increase, 95% CI -0.75 to -0.29).

CONCLUSIONS

A number of factors including diabetes education, perceived and actual hyperglycaemia and macrovascular complications are associated with treatment satisfaction. Self-management education programmes should incorporate these factors for ongoing support in patients with T2DM.

Effectiveness of shared goal setting and decision making to achieve treatment targets in type 2 diabetes patients: A cluster-randomized trial (OPTIMAL)

Objective

About 20% of patients with type 2 diabetes achieve all their treatment targets. Shared decision making (SDM) using a support aid based on the 5‐years results of the ADDITION study on multifactorial treatment, could increase this proportion.

Research design and methods

Cluster‐randomized trial in 35 former ADDITION primary care practices. Practices were randomized to SDM or care as usual (1:1). Both ADDITION and non‐ADDITION type 2 diabetes patients, 60‐80 years, known with diabetes for 8‐12 years, were included. In the intervention group, patients were presented evidence about the relationship between treatment intensity and cardiovascular events. They chose intensive or less intensive treatment and prioritized their targets. After 1 year priorities could be rearranged. Follow‐up: 24 months. Intention‐to‐treat analysis. Main outcome measure: proportion of patients that achieved all three treatment targets.

Results

At baseline 26.4% in the SDM group (n=72) had already achieved all three treatment goals (CG: 23.5%, n=81). In the SDM group 44 patients chose intensive treatment, 25 continued their former less intensive treatment and three people switched from the more to the less intensive protocol. After 24 months 31.8% of the patients in the SDM group achieved all three treatment targets (CG: 25.3%), RR 1.26 (95% CI 0.81‐1.95). Mean systolic blood pressure decreased in the SDM group (−5.4 mm Hg, P<.01), mean HbA1c and total cholesterol did not change.

Conclusions

Despite an already high baseline level of diabetes care, we found strong indications that SDM on both intensity of treatment and prioritizing treatment goals further improved outcomes.

The effectiveness of a value-based EMOtion-cognition-Focused educatIonal programme to reduce diabetes-related distress in Malay adults with Type 2 diabetes (VEMOFIT): study protocol for a cluster randomised controlled trial

BACKGROUND

Type 2 diabetes mellitus (T2DM) patients experience many psychosocial problems related to their diabetes. These often lead to emotional disorders such as distress, stress, anxiety and depression, resulting in decreased self-care, quality of life and disease control. The purpose of the current study is to evaluate the effectiveness of a brief value-based emotion-focused educational programme in adults with T2DM on diabetes-related distress (DRD), depressive symptoms, illness perceptions, quality of life, diabetes self-efficacy, self-care and clinical outcomes.

METHODS

A cluster randomised controlled trial will be conducted in 10 public health clinics in Malaysia, all providing diabetes care according to national clinical practice guidelines. Patients' inclusion criteria: Malay, ≥ 18 years with T2DM for at least 2 years, on regular follow-up with one of three biomarkers HbA1c, systolic blood pressure and LDL-cholesterol sub-optimally controlled, and with a mean 17-item Diabetes Distress Scale (DDS-17) score ≥ 3. The intervention consists of four sessions and one booster over a period of 4 months that provide information and skills to assist patients in having proper perceptions of their T2DM including an understanding of the treatment targets, understanding and managing their emotions and goal-setting. The comparator is an attention-control group with three meetings over a similar period. With an estimated intra-cluster correlation coefficient ρ of 0.015, a cluster size of 20 and 20% non-completion, the trial will need to enroll 198 patients.

PRIMARY OUTCOME

the between groups difference in proportion of patients achieving a mean DDS-17 score < 3 (non-significant distress) at 6 months post-intervention. Secondary outcomes will be the differences in the above mentioned variables between groups.

DISCUSSION

We hypothesize that primary and secondary outcomes will improve significantly after the intervention compared to the comparator group. The results of this study can contribute to better care for T2DM patients with DRD.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02730078 . Registered on 29 March 2016, last updated on 4 January 2017.

Diabetes-Related Distress and Depressive Symptoms Are Not Merely Negative over a 3-Year Period in Malaysian Adults with Type 2 Diabetes Mellitus Receiving Regular Primary Diabetes Care

For people with type 2 diabetes mellitus (T2DM) the daily maintenance of physical and psychological health is challenging. However, the interrelatedness of these two health domains, and of diabetes-related distress (DRD) and depressive symptoms, in the Asian population is still poorly understood. DRD and depressive symptoms have important but distinct influences on diabetes self-care and disease control. Furthermore, the question of whether changes in DRD or depressive symptoms follow a more or less natural course or depend on disease and therapy-related factors is yet to be answered. The aim of this study was to identify the factors influencing changes in DRD or depressive symptoms, at a 3-year follow-up point, in Malaysian adults with T2DM who received regular primary diabetes care. Baseline data included age, sex, ethnicity, marital status, educational level, employment status, health-related quality of life (WHOQOL-BREF), insulin use, diabetes-related complications and HbA1c. DRD was assessed both at baseline and after 3 years using a 17-item Diabetes Distress Scale (DDS-17), while depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Linear mixed models were used to examine the relationship between baseline variables and change scores in DDS-17 and PHQ-9. Almost half (336) of 700 participants completed both measurements. At follow-up, their mean (SD) age and diabetes duration were 60.6 (10.1) years and 9.8 (5.9) years, respectively, and 54.8% were women. More symptoms of depression at baseline was the only significant and independent predictor of improved DRD at 3 years (adjusted β = -0.06, p = 0.002). Similarly, worse DRD at baseline was the only significant and independent predictor of fewer depressive symptoms 3 years later (adjusted β = -0.98, p = 0.005). Thus, more "negative feelings" at baseline could be a manifestation of initial coping behaviors or a facilitator of a better psychological coaching by physicians or nurses that might be beneficial in the long term. We therefore conclude that initial negative feelings should not be seen as a necessarily adverse factor in diabetes care.

Differences in clinical characteristics between patients with and without type 2 diabetes hospitalized with a first myocardial infarction

AIMS

To explore differences in clinical characteristics of patients with and without type 2 diabetes (T2DM) hospitalized with a first myocardial infarction (MI).

METHODS

In this cross-sectional study we examined differences between patients with and without T2DM hospitalized with a first MI (n=563). Multiple linear regression modeling was used to examine the association between T2DM and age of occurrence of MI. We adjusted for gender, systolic blood pressure (BP), lipids and creatinine level to examine whether these variables explained the association between T2DM and age of occurrence of MI.

RESULTS

Among 563 patients with a first MI, T2DM patients (n=77) were older than non-diabetic patients (67.8±10.9 vs. 64.4±13.4years, p<0.05), had lower LDL (2.5±0.8 vs. 3.4±1.1mmol/l, p<0.001) and total cholesterol levels (4.4±0.9 vs. 5.4±1.2mmol/l, p<0.001), but higher systolic BP (150.3±29.9 vs. 141.7±27.5mmHg, p<0.05). The association between T2DM and age of occurrence of MI was largely explained by cholesterol levels.

CONCLUSIONS

T2DM patients were older when hospitalized with a first MI. This difference was largely explained by differences in cholesterol levels. The lower cholesterol levels in T2DM patients compared to non-diabetic patients, and maybe also the older age of occurrence of MI, might reflect the results successful primary prevention and systematic monitoring in T2DM.

LEADER 7: cardiovascular risk profiles of US and European participants in the LEADER diabetes trial differ

AIMS

To determine whether US and European participants in the Liraglutide Effect and Action in Diabetes: Evaluation of cardiovascular outcome Results (LEADER) trial differ regarding risk factors for cardiovascular mortality and morbidity.

METHODS

Baseline data, stratified for prior cardiovascular disease (CVD), were compared using multivariable logistic regression analysis to establish whether region is an independent determinant of achieved targets for glycated hemoglobin (HbA1c), blood pressure (BP), and low-density lipoprotein (LDL)-cholesterol.

RESULTS

Independent of CVD history, US participants were more often of non-White origin and had a longer history of type 2 diabetes, higher body weight, and higher baseline HbA1c. They had substantially lower systolic and diastolic BP, and a marginally lower LDL-cholesterol level. Fewer US participants were diagnosed with left ventricular dysfunction. In the largest group of patients, those with prior CVD and the highest cardiovascular risk, US participants were more often female, had a higher waist circumference, and had a decreased estimated glomerular filtration rate, but less frequently prior myocardial infarction or angina pectoris.

CONCLUSIONS

There were baseline differences between US and European participants. These differences may result from variation in regional targets for cardiovascular risk factor management, and should be considered in the analysis and reporting of the trial results. Clinical trial identifier: ClinicalTrials.gov, NCT01179048.

Case-finding for cognitive impairment among people with Type 2 diabetes in primary care using the Test Your Memory and Self-Administered Gerocognitive Examination questionnaires: the Cog-ID study

AIM

To evaluate two cognitive tests for case-finding for cognitive impairment in older patients with Type 2 diabetes.

METHODS

Of 1243 invited patients with Type 2 diabetes, aged ≥70 years, 228 participated in a prospective cohort study. Exclusion criteria were: diagnosis of dementia; previous investigation at a memory clinic; and inability to write or read. Patients first filled out two self-administered cognitive tests (Test Your Memory and Self-Administered Gerocognitive Examination). Secondly, a general practitioner, blinded to Test Your Memory and Self-Administered Gerocognitive Examination scores, performed a structured evaluation using the Mini-Mental State Examination. Subsequently, patients suspected of cognitive impairment (on either the cognitive tests or general practitioner evaluation) and a random sample of 30% of patients not suspected of cognitive impairment were evaluated at a memory clinic. Diagnostic accuracy and area under the curve were determined for the Test Your Memory, Self-Administered Gerocognitive Examination and general practitioner evaluation compared with a memory clinic evaluation to detect cognitive impairment (mild cognitive impairment or dementia).

RESULTS

A total of 44 participants were diagnosed with cognitive impairment. The Test Your Memory and Self-Administered Gerocognitive Examination questionnaires had negative predictive values of 81 and 85%, respectively. Positive predictive values were 39 and 40%, respectively. The general practitioner evaluation had a negative predictive value of 83% and positive predictive value of 64%. The area under the curve was ~0.70 for all tests.

CONCLUSIONS

Both the tests evaluated in the present study can easily be used in case-finding strategies for cognitive impairment in patients with Type 2 diabetes in primary care. The Self-Administered Gerocognitive Examination had the best diagnostic accuracy and therefore we would have a slight preference for this test. Applying the Self-Administered Gerocognitive Examination would considerably reduce the number of patients in whom the general practitioner needs to evaluate cognitive functioning to tailor diabetes treatment.

Impact of UKPDS risk estimation added to a first subjective risk estimation on management of coronary disease risk in type 2 diabetes - An observational study

AIMS

To investigate the impact of the UKPDS risk engine on management of CHD risk in T2DM patients.

METHODS

Observational study among 139 GPs. Data from 933 consecutive patients treated with a maximum of two oral glucose lowering drugs, collected at baseline and after twelve months. GPs estimated the CHD risk themselves and afterwards they calculated this with the UKPDS risk engine. Under- and overestimation were defined as a difference >5 percentage points difference between both calculations. The impact of the UKPDS risk engine was assessed by measuring differences in medication adjustments between the over-, under- and accurately estimated group.

RESULTS

In 42.0% the GP accurately estimated the CHD risk, in 32.4% the risk was underestimated and in 25.6% overestimated. Mean difference between the estimated (18.7%) and calculated (19.1%) 10 years CHD risk was -0.36% (95% CI -1.24 to 0.52). Male gender, current smoking and total cholesterol level were associated with underestimation. Patients with an subjectively underestimated CHD risk received significantly more medication adjustments. Their UKPDS 10 year CHD risk did not increase during the follow-up period, contrary to the other two groups of patients.

CONCLUSIONS

The UKPDS risk engine may be of added value for risk management in T2DM.

Metabolomic biomarkers for personalised glucose lowering drugs treatment in type 2 diabetes

We aimed to identify metabolites to predict patients' response to glucose lowering treatment during the first 5 years after detection of type 2 diabetes. Metabolites were measured by GC-MS in baseline samples from 346 screen-detected type 2 diabetes patients in the ADDITION-NL study. The response to treatment with metformin and/or sulphonylurea (SU) was analysed to identify metabolites predictive of 5 year HbA1c change by multiple regression analysis. Baseline glucose and 1,5 anhydro-glucitol were associated with HbA_1c decrease in all medication groups. In patients on SU no other metabolite was associated with HbA1c decrease. A larger set of metabolites was associated with HbA1c change in the metformin and the combination therapy (metformin + SU) groups. These metabolites included metabolites related to liver metabolism, such as 2-hydroxybutanoic acid, 3-hydroxybutanoic acid, 2-hydroxypiperidine and 4-oxoproline). Metabolites involved in oxidative stress and insulin resistance were higher when the HbA1c decrease was larger in the metformin/sulphonylurea group. The associations between baseline metabolites and responsiveness to medication are in line with its mode of action. If these results could be replicated in other populations, the most promising predictive candidates might be tested to assess whether they could enhance personalised treatment.

[From annual check-up to annual appraisal: personalised diabetes care]

Diabetes care is shifting from disease management to personalised care. Internationally, diabetes care providers are advised to integrate the patient's preferences, wishes and possibilities into diabetes care in order to improve its efficiency. The Dutch Diabetes Federation has developed a specifically patient-centred conversation model that can be systematically applied. At an annual appraisal, the physician and the patient make decisions on the treatment goals to set, and on the treatment and professional support needed to achieve these goals. In this way person-centred and efficient care may become reality. The first results of a pilot study are promising. Currently the applicability and added value of the model are being tested on a large scale. The model is more broadly applicable, which means this could be a new perspective for everyone with a chronic disease.

Effectiveness of tailored support for people with Type 2 diabetes after a first acute coronary event: a multicentre randomized controlled trial (the Diacourse-ACE study)

AIMS

To evaluate the effectiveness of a tailored, supportive intervention strategy in influencing diabetes-related distress, health status, well-being and clinical outcomes in people with Type 2 diabetes shortly after a first acute coronary event.

METHODS

People with Type 2 diabetes and a recent first acute coronary event (n = 201) were randomized to the intervention group (three home visits by a diabetes nurse) or the attention control group (one telephone consultation). Outcomes were measured after discharge (baseline) and at 5 months (follow-up) using validated questionnaires for diabetes-related distress (Problem Areas in Diabetes), well-being (WHO Well-Being Index) and health status (Euroqol 5 Dimensions; Euroqol Visual Analogue Scale). ancova was used to analyse change-over-time differences between groups.

RESULTS

Follow-up data were available for 81 participants in the intervention group (66.0 ± 9.3 years, 76% male) and 80 in the control group (65.6 ± 9.4 years, 75% male) participants. Mean diabetes-related distress was low after hospital discharge (intervention group: 8.2 ± 10.1; control group: 9.2 ± 12.4) and did not change after 5 months (intervention group: 9.2 ± 12.4; control group: 9.0 ± 11.2). Baseline well-being was less favourable but improved significantly in the intervention group (baseline: 58.5 ± 28.0; follow-up: 65.5 ± 23.7; P = 0.005), but not in the control group (baseline: 57.5 ± 25.2; follow-up: 59.6 ± 24.4; P = 0.481). Health status also improved in the intervention group (baseline: 69.9 ± 17.3; follow-up: 76.8 ± 15.6; P < 0.001) but not in the control group (baseline: 68.6 ± 15.9; follow-up: 69.9 ± 16.7; P = 0.470). A significant group effect was found for health status (F = 7.9; P = 0.006).

CONCLUSIONS

Although the intervention had no effect on diabetes-related distress, this might be at least partially attributable to very low levels of diabetes-related distress at baseline. Interestingly, health status scores and well-being, which were less favourable at baseline, both improved after the tailored support intervention.

Diabetes-Related Distress, Depression and Distress-Depression among Adults with Type 2 Diabetes Mellitus in Malaysia

Type 2 diabetes mellitus (T2DM) brings about an increasing psychosocial problem in adult patients. Prevalence data on and associated factors of diabetes related distress (DRD) and depression have been lacking in Asia. This study aimed to examine the prevalence of DRD and depression, and their associated factors in Asian adult T2DM patients. This study was conducted in three public health clinics measuring DRD (Diabetes Distress Scale, DDS), and depression (Patient Health Questionnaire, PHQ). Patients who were at least 30 years of age, had T2DM for more than one year, with regular follow-up and recent laboratory results (< 3 months) were consecutively recruited. Associations between DRD, depression and the combination DRD-depression with demographic and clinical characteristics were analysed using generalized linear models. From 752 invited people, 700 participated (mean age 56.9 years, 52.8% female, 52.9% Malay, 79.1% married). Prevalence of DRD and depression were 49.2% and 41.7%, respectively. Distress and depression were correlated, spearman's r = 0.50. Patients with higher DRD were younger (OR 0.995, 95% CI 0.996 to 0.991), Chinese (OR 1.2, 95% CI 1.04 to 1.29), attending Dengkil health clinic (OR 1.1, 95% CI 1.00 to 1.22) and had higher scores on the PHQ (OR 1.1, 95% CI 1.04 to 1.06). Depression was less likely in the unmarried compared to divorced/separately living and those attending Dengkil health clinic, but more likely in patients with microvascular complications (OR 1.4, 95% CI 1.06 to 1.73) and higher DDS (OR 1.03, 95% CI 1.02 to 1.03). For the combination of DRD and depression, unemployment (OR 4.7, 95% CI 1.02 to 21.20) had positive association, whereas those under medical care at the Salak health clinics (OR 0.28, 95% CI 0.12 to 0.63), and those with a blood pressure > 130/80 mmHg (OR 0.53, 95% CI 0.32 to 0.89) were less likely to experience both DRD and depression. DRD and depression were common and correlated in Asian adults with T2DM at primary care level. Socio-demographic more than clinical characteristics were related to DRD and depression.

Diabetes self-management education after pre-selection of patients: design of a randomised controlled trial

BACKGROUND

Many self-management programs have been developed so far. Their effectiveness varies. The program 'Beyond Good Intentions' (BGI) is based on proactive coping and has proven to be (cost-) effective in achieving reductions in BMI and blood pressure in screen-detected type 2 diabetes patients up until nine months follow-up. However, its long-term effectiveness in people already known with diabetes is lacking. In addition, its (cost-) effectiveness might increase if people who are likely not to be benefit from the program are excluded in a valid way. Therefore it was aimed to investigate the long-term effects of the educational program BGI on cardiovascular risk, quality of life and diabetes self-management behaviour in a pre-selected group of patients known with type 2 diabetes up to 5 years.

METHODS

Randomised controlled trial with 2.5 year follow-up. Adults (≤75 years) with a type 2 diabetes duration between 3 months and 5 years will be included. With the use of a self-management screening tool (SeMaS) their potential barriers of self-management due to depression and/or anxiety will be determined. Based on the results of the SeMaS selection patients will be randomised (1:1) to the BGI-group (n = 53) or the control-group (n = 53). In addition to receiving usual care, patients in the BGI-group will follow the 12-week theory-based self-management program and a booster session a few months thereafter. The control-group will receive care as usual. The primary outcome is change in Body Mass Index after 2.5 years follow-up. Secondary outcomes are HbA1c, lipid profile and systolic blood pressure, (diabetes) quality of life, level of physical activity, dietary intake and medication adherence and proactive coping. Cost-effectiveness will be based on total use of health care resources during the entire study period. Difference between groups in change over time will be analysed according to intention-to-treat analysis.

CONCLUSIONS

By differentiating between patients who will and those who are likely not to benefit from the educational program, a more (cost-) effective self-management program might be designed, also on the long-run. Trial registration NTR 5330.

Comparison of perceptions of obesity among adults with central obesity with and without additional cardiometabolic risk factors and among those who were formally obese, 3 years after screening for central obesity

BACKGROUND

Perceptions of illness are important determinants of health behaviour. A better understanding of perceptions of obesity might allow more effective interventions that challenge these perceptions through lifestyle modification programs. Although several studies have evaluated causal attributions with regard to obesity, other domains of illness perception, such as the perceived consequences of obesity and perceived controllability, have not yet been studied. The aim of the current study was to explore perceptions regarding causes, consequences, control, concerns and time course of obesity of centrally obese adults, with and without an elevated cardiometabolic risk and with or without weight loss, 3 years after screening for metabolic syndrome, and to compare these perceptions.

METHODS

Three groups were selected from a longitudinal study dependent on the baseline and 3-year follow-up profiles: individuals with central obesity and metabolic syndrome at both time points ('persistent cardiometabolic-risk group', n = 80), those with central obesity but without metabolic syndrome on either occasion ('persistent obese group', n = 63), and formerly obese individuals ('improved cardiometabolic-risk group', n = 49). Perceptions of obesity were assessed using an adapted version of the Brief Illness Perception Questionnaire (BIPQ, range 0-10). Chi-square and Kruskal-Wallis tests were performed to compare the 'persistent cardiometabolic risk' group with the other two groups with regard to patient characteristics and BIPQ scores.

RESULTS

Both males and females who improved their cardiometabolic risk perceived their obesity as shorter (median (IQR): 3.0 (4.0) vs. 6.0 (3.0), p < 0.001) and experienced greater personal control over their weight (7.0 (3.0) vs. 5.0 (3.0), p = 0.002) compared to those who did not improve. Females who improved their cardiometabolic risk experienced fewer identity and illness concerns, this was not found for males. Other scores did not differ between groups.

CONCLUSION

Obese adults with an improved cardiometabolic risk profile felt greater personal control and considered their obesity to be of shorter duration. Persistence of central obesity with additional cardiometabolic risk factors had a larger impact on female than male participants with respect to identity and illness concerns. Whether discussing 'personal control' is a favourable element in lifestyle intervention should now be assessed in the setting of a controlled trial.

Diabetes-related distress over the course of illness: results from the Diacourse study

AIMS

To investigate the relationship between diabetes duration and diabetes-related distress and to examine the impact of micro- and macrovascular complications and blood glucose-lowering treatment on this relationship.

METHODS

We conducted a cross-sectional study in people with Type 2 diabetes who participated in the Dutch Diacourse study (n = 590) and completed the Problem Areas in Diabetes questionnaire. Data on diabetes duration, micro- and macrovascular complications and blood glucose-lowering treatment were collected. Multiple linear regression analysis was used to investigate the association between diabetes duration and diabetes-related distress, and to examine whether complications and treatment could explain this association.

RESULTS

A significant linear and quadratic association between diabetes duration and diabetes-related distress was found (duration: β = 0.27, P = 0.005; duration(2): β = -0.21, P = 0.030). The association between duration and distress could be explained by microvascular complications and insulin treatment, which were both more often present in people with a longer diabetes duration, and were associated with higher levels of diabetes-related distress (β = 0.20, P < 0.001 and β = 0.16, P = 0.006 respectively). Duration, age, gender, complications and treatment together explained 13.1% of the variance in distress.

CONCLUSIONS

Diabetes duration was associated with diabetes-related distress. This association can be explained largely by the presence of diabetes-related microvascular complications and insulin treatment. Healthcare providers should focus on distress in people with Type 2 diabetes in different stages over the course of illness, especially when complications are present or when people are on insulin treatment. As well as diabetes duration, complications and blood glucose-lowering treatment, diabetes-related distress is likely to be influenced by many other factors.

Undiagnosed cognitive impairment, health status and depressive symptoms in patients with type 2 diabetes

AIMS

Type 2 diabetes (T2DM) is associated with cognitive impairment. We examined whether undiagnosed cognitive impairment in T2DM-patients is associated with a reduced health status and depressive symptoms.

METHODS

In an observational study, 225 T2DM-patients aged ≥70years were examined at their homes and (some of them) at a memory clinic for undiagnosed cognitive impairment (dementia or mild cognitive impairment [MCI], defined according to internationally accepted criteria). Questionnaires assessing health status (SF-36, EQ-5D, EQ-VAS) and depressive symptoms (CES-D) were filled out. Health status and depressive symptoms were compared between patients with and without cognitive impairment.

RESULTS

Patients with cognitive impairment (n=57) showed significantly lower scores on the physical and mental summary scores of the SF-36 than patients with normal cognition (difference: 3.5 (95%-CI 0.7-6.3, p=0.02, effect size 0.41) and 2.9 (95%-CI 0.3-5.6; p=0.03, effect size 0.37). EQ-5D index and EQ-VAS scores were significantly lower in patients with cognitive impairment. Depression (CES-D≥16) occurred almost twice as often in patients with cognitive impairment (RR 1.8; 95%-CI: 1.1-3.0).

CONCLUSIONS

Undiagnosed cognitive impairment in T2DM-patients is associated with a reduced health status and more depressive symptoms. Detection of cognitive impairment in T2DM-patients identifies a vulnerable patient group that could benefit from tailored treatment and care.

Effect of six years intensified multifactorial treatment on levels of hs-CRP and adiponectin in patients with screen detected type 2 diabetes: the ADDITION-Netherlands randomized trial

BACKGROUND

Levels of high-sensitivity C-reactive protein (hs-CRP) and adiponectin, reflecting chronic inflammation, are associated with cardiovascular disease in type 2 diabetes. The long-term effects of multifactorial therapy in type 2 diabetes patients on CRP and adiponectin are unknown.

METHODS

The ADDITION-NL study is a randomized clinical trial among screen-detected type 2 diabetes patients, randomized to intensive treatment (HbA1c <7.0% (53 mmol/mol), blood pressure ≤135/85 mmHg, total cholesterol ≤3.5 mmol/L) or routine care. Hs-CRP and adiponectin were measured before and 1, 2 and 6 years after inclusion. We analysed the effectiveness of the intervention on hs-CRP and adiponectin levels using a mixed effects model, taking into account practice, baseline levels and different medications.

RESULTS

A total of 424 patients were included (intensive care n = 235; routine care n = 189). Both groups were well matched. Body mass index, systolic blood pressure, total cholesterol and HbA1c improved significantly more in the intensive care group compared to routine care group. Levels of hs-CRP decreased significantly in both treatment groups over time. Mean hs-CRP in the routine care group was 24% higher (p = 0.0027) than in the intensive treatment group during follow-up. After an initial increase the adiponectin values levelled off to nearly baseline values in both groups. The difference between the two groups after 6 years was 0.44 µg/mL (p = 0.27).

CONCLUSIONS

Intensified multifactorial treatment in type 2 diabetes results in an enhanced decrease in hs-CRP. Whether this is clinically meaningful remains uncertain. The link to adiponectin seems to be more complex.

Early Detection and Treatment of Type 2 Diabetes Reduce Cardiovascular Morbidity and Mortality: A Simulation of the Results of the Anglo-Danish-Dutch Study of Intensive Treatment in People With Screen-Detected Diabetes in Primary Care (ADDITION-Europe)

OBJECTIVE

To estimate the benefits of screening and early treatment of type 2 diabetes compared with no screening and late treatment using a simulation model with data from the ADDITION-Europe study.

RESEARCH DESIGN AND METHODS

We used the Michigan Model, a validated computer simulation model, and data from the ADDITION-Europe study to estimate the absolute risk of cardiovascular outcomes and the relative risk reduction associated with screening and intensive treatment, screening and routine treatment, and no screening with a 3- or 6-year delay in the diagnosis and routine treatment of diabetes and cardiovascular risk factors.

RESULTS

When the computer simulation model was programmed with the baseline demographic and clinical characteristics of the ADDITION-Europe population, it accurately predicted the empiric results of the trial. The simulated absolute risk reduction and relative risk reduction were substantially greater at 5 years with screening, early diagnosis, and routine treatment compared with scenarios in which there was a 3-year (3.3% absolute risk reduction [ARR], 29% relative risk reduction [RRR]) or a 6-year (4.9% ARR, 38% RRR) delay in diagnosis and routine treatment of diabetes and cardiovascular risk factors.

CONCLUSIONS

Major benefits are likely to accrue from the early diagnosis and treatment of glycemia and cardiovascular risk factors in type 2 diabetes. The intensity of glucose, blood pressure, and cholesterol treatment after diagnosis is less important than the time of its initiation. Screening for type 2 diabetes to reduce the lead time between diabetes onset and clinical diagnosis and to allow for prompt multifactorial treatment is warranted.

Cost-effectiveness of intensive multifactorial treatment compared with routine care for individuals with screen-detected Type 2 diabetes: analysis of the ADDITION-UK cluster-randomized controlled trial

AIMS

To examine the short- and long-term cost-effectiveness of intensive multifactorial treatment compared with routine care among people with screen-detected Type 2 diabetes.

METHODS

Cost-utility analysis in ADDITION-UK, a cluster-randomized controlled trial of early intensive treatment in people with screen-detected diabetes in 69 UK general practices. Unit treatment costs and utility decrement data were taken from published literature. Accumulated costs and quality-adjusted life years (QALYs) were calculated using ADDITION-UK data from 1 to 5 years (short-term analysis, n = 1024); trial data were extrapolated to 30 years using the UKPDS outcomes model (version 1.3) (long-term analysis; n = 999). All costs were transformed to the UK 2009/10 price level.

RESULTS

Adjusted incremental costs to the NHS were £285, £935, £1190 and £1745 over a 1-, 5-, 10- and 30-year time horizon, respectively (discounted at 3.5%). Adjusted incremental QALYs were 0.0000, - 0.0040, 0.0140 and 0.0465 over the same time horizons. Point estimate incremental cost-effectiveness ratios (ICERs) suggested that the intervention was not cost-effective although the ratio improved over time: the ICER over 10 years was £82,250, falling to £37,500 over 30 years. The ICER fell below £30 000 only when the intervention cost was below £631 per patient: we estimated the cost at £981.

CONCLUSION

Given conventional thresholds of cost-effectiveness, the intensive treatment delivered in ADDITION was not cost-effective compared with routine care for individuals with screen-detected diabetes in the UK. The intervention may be cost-effective if it can be delivered at reduced cost.

Patients' Experiences with and Attitudes towards a Diabetes Patient Web Portal

OBJECTIVE

A diabetes patient web portal allows patients to access their personal health record and may improve diabetes outcomes; however, patients' adoption is slow. We aimed to get insight into patients' experiences with a web portal to understand how the portal is being used, how patients perceive the content of the portal and to assess whether redesign of the portal might be needed.

MATERIALS AND METHODS

A survey among 1500 patients with type 1 and type 2 diabetes with a login to a patient portal.

SETTING

62 primary care practices and one outpatient hospital clinic, using a combined patient portal. We compared patients who requested a login but never used it or once ('early quitters') with patients who used it at least two times ('persistent users').

RESULTS

632 patients (42.1%) returned the questionnaire. Their mean age was 59.7 years, 63.1% was male and 81.8% had type 2 diabetes. 413 (65.3%) people were persistent users and 34.7% early quitters. In the multivariable analysis, insulin use (OR2.07; 95%CI[1.18-3.62]), experiencing more frequently hyperglycemic episodes (OR1.30;95%CI[1.14-1.49]) and better diabetes knowledge (OR1.02, 95%CI[1.01-1.03]) do increase the odds of being a persistent user. Persistent users perceived the usefulness of the patient portal significantly more favorable. However, they also more decisively declared that the patient portal is not helpful in supporting life style changes. Early quitters felt significantly more items not applicable in their situation compared to persistent users. Both persistent users (69.8%) and early quitters (58.8%) would prefer a reminder function for scheduled visits. About 60% of both groups wanted information about medication and side-effects in their portal.

CONCLUSIONS

The diabetes patient web portal might be improved significantly by taking into account the patients' experiences and attitudes. We propose creating separate portals for patients on insulin or not.

Association between quality management and performance indicators in Dutch diabetes care groups: a cross-sectional study

OBJECTIVES

To enhance the quality of diabetes care in the Netherlands, so-called care groups with three to 250 general practitioners emerged to organise and coordinate diabetes care. This introduced a new quality management level in addition to the quality management of separate general practices. We hypothesised that this new level of quality management might be associated with the aggregate performance indicators on the patient level. Therefore, we aimed to explore the association between quality management at the care group level and its aggregate performance indicators.

DESIGN

A cross-sectional study.

SETTING

All Dutch care groups (n=97).

PARTICIPANTS

23 care groups provided aggregate register-based performance indicators of all their practices as well as data on quality management measured with a questionnaire filled out by 1 or 2 of their quality managers.

PRIMARY OUTCOMES

The association between quality management, overall and in 6 domains ('organisation of care', 'multidisciplinary teamwork', 'patient centredness', 'performance management', 'quality improvement policy' and 'management strategies') on the one hand and 3 process indicators (the percentages of patients with at least 1 measurement of glycated haemoglobin, lipid profile and systolic blood pressure), and 3 intermediate outcome indicators (the percentages of patients with glycated haemoglobin below 53 mmol/mol (7%); low-density lipoprotein cholesterol below 2.5 mmol/L; and systolic blood pressure below 140 mm Hg) by weighted univariable linear regression.

RESULTS

The domain 'management strategies' was significantly associated with the percentage of patients with a glycated haemoglobin <53 mmol/mol (β 0.28 (0.09; 0.46) p=0.01) after correction for multiple testing. The other domains as well as overall quality management were not associated with aggregate process or outcome indicators.

CONCLUSIONS

This first exploratory study on quality management showed weak or no associations between quality management of diabetes care groups and their performance. It remains uncertain whether this second layer on quality management adds to better quality of care.

Cobalamin status and its relation with depression, cognition and neuropathy in patients with type 2 diabetes mellitus using metformin

AIMS

To investigate the associations of vitamin B12 (cobalamin and holotranscobalamin) status with depression, cognition and neuropathy in patients with type 2 diabetes using metformin.

METHODS

In an observational study, among 550 type 2 diabetes patients using metformin, cobalamin and holotranscobalamin (holoTCII) levels were measured at the annual diabetes checkup, and deficiencies were defined as <148 and <21 pmol/L, respectively. Depression and cognitive function were assessed with corresponding International Classification of Primary Care codes and questionnaires; neuropathy with medical record data and a questionnaire. Confounding variables were retrieved from medical records. Multivariable logistic and linear regressions were used with cobalamin status as independent variable; depression, cognition and neuropathy as dependent variables.

RESULTS

The mean duration of diabetes was 8.4 years (±5.8); mean duration of metformin use was 64.1 months (±43.2), with a mean metformin dose of 1,306 mg/day. A sufficient cobalamin level was independently associated with a decreased risk of depression (OR 0.42; 95 % CI 0.23-0.78) and better cognitive performance (β = 1.79; 95 % CI 0.07-3.52) adjusted for confounders. This indicates that cobalamin-deficient patients had a 2.4 times higher chance of depression and a 1.79 point lower cognitive performance score. HoloTCII was not associated with any outcome.

CONCLUSIONS

Cobalamin deficiency was associated with an increased risk of depression and worse cognitive performance, while holoTCII was not. Screening for cobalamin deficiency may be warranted in diabetes patients using metformin. Physicians should consider a cobalamin deficiency in diabetes patients using metformin with a depression or cognitive decline.

Shared decision making in type 2 diabetes with a support decision tool that takes into account clinical factors, the intensity of treatment and patient preferences: design of a cluster randomised (OPTIMAL) trial

BACKGROUND

No more than 10-15% of type 2 diabetes mellitus (T2DM) patients achieve all treatment goals regarding glycaemic control, lipids and blood pressure. Shared decision making (SDM) should increase that percentage; however, not all support decision tools are appropriate. Because the ADDITION-Europe study demonstrated two (almost) equally effective treatments but with slightly different intensities, it may be a good starting point to discuss with the patients their diabetes treatment, taking into account both the intensity of treatment, clinical factors and patients' preferences. We aim to evaluate whether such an approach increases the proportion of patients that achieve all three treatment goals.

METHODS

In a cluster-randomised trial including 40 general practices, that participated until 2009 in the ADDITION Study, 150 T2DM patients 60-80 years, known with T2DM for 8-15 years, will be included. Practices are randomised a second time, i.e. intervention practices in the ADDITION study could be control practices in the current study and vice versa. For the GPs from the intervention group a 2-hour training in SDM was developed as well as a decision support tool to be used during the consultation. GPs plan the first visit with the patients to decide on the intensity of the treatment, personalised targets and the priorities of treatment. The control group will continue with the treatment they were allocated to in the ADDITION study.

FOLLOW-UP

24 months. The primary outcome is the proportion of patients who achieve all three treatment goals. Secondary outcomes are the proportion of patients who achieve five treatment goals (HbA1c, blood pressure, total cholesterol, body weight, not smoking), evaluation of the SDM process (SDM-Q9 and CPS), satisfaction with the treatment (DTSQ), wellbeing and quality of life (W-BQ12, ADD QoL-19), health status (SF-36, EQ-5D) and coping (DCMQ). The proportions of achieved treatment goals will be compared between both groups. For the secondary outcomes mixed models will be used. The Medical Research Ethics Committee of the University Medical Centre Utrecht has approved the study protocol (Protocol number: 11-153).

DISCUSSION

This trial will provide evidence whether an intervention with a multi-faceted decision support tool increases the proportion of achieved personalised goals in type 2 diabetes patients.

TRIAL REGISTRATION

NCT02285881, November 4, 2014.

Cognitive function in patients with diabetes mellitus: guidance for daily care

Diabetes mellitus is associated with an increase in the risk of dementia and the proportion of patients who convert from mild cognitive impairment (MCI) to dementia. In addition to MCI and dementia, the stages of diabetes-associated cognitive dysfunction include subtle cognitive changes that are unlikely to affect activities of daily life or diabetes self-management. These diabetes-associated cognitive decrements have structural brain correlates detectable with brain MRI, but usually show little progression over time. Although cognitive decrements do not generally represent a pre-dementia stage in patients below the age of 60-65 years, in older individuals these subtle cognitive changes might represent the earliest stages of a dementia process. Acknowledgment of diabetes-associated cognitive decrements can help to improve understanding of patients' symptoms and guide management. Future challenges are to establish the importance of screening for cognitive impairment in people with diabetes, to identify those at increased risk of accelerated cognitive decline at an early stage, and to develop effective treatments.

A training course for experts in diabetology in primary care

In the Netherlands so-called Diabetes Care Groups organize the primary diabetes care centrally with delegation to different health care providers. A training course for general practitioners who would like to become experts in diabetology in the primary care setting meets the need to guide the quality management processes in these care groups.