High prevalence of retinopathy in young-onset type 2 diabetes and possible sex differences: insights from Norwegian general practice.

INTRODUCTION: People with young-onset type 2 diabetes (YOD), defined as diabetes diagnosis before age 40, have a high lifetime risk of vascular complications. We aimed to estimate the prevalence of YOD among adults with type 2 diabetes (T2D) in Norwegian general practice and explore associations between age at diabetes diagnosis and retinopathy overall and in men and women. RESEARCH DESIGN AND METHODS: We collected cross-sectional data from general practice electronic medical records of 10 241 adults with T2D in 2014, and repeated measurements of hemoglobin A1c (HbA1c) from 2012 to 2014. Using multivariate logistic regression, we assessed associations between YOD and later-onset T2D, sex and retinopathy. RESULTS: Of all individuals with T2D, 10% were diagnosed before 40 years of age in both sexes. Compared with later-onset T2D, HbA1c increased faster in YOD, and at the time of diagnosis HbA1c was higher in men, particularly in YOD. Retinopathy was found in 25% with YOD, twice as frequently as in later onset. After adjustments for confounders (age, country of origin, education, body mass index), OR of retinopathy was increased in both men with YOD (OR 2.6 (95% CI 2.0 to 3.5)) and women with YOD (OR 2.2 (1.5 to 3.0)). After further adjustments for potential mediators (diabetes duration and HbA1c), the higher OR persisted in men with YOD (OR 1.8 (1.3 to 2.4)) but was attenuated and no longer significant for women with YOD. CONCLUSIONS: Retinopathy prevalence was more than twice as high in YOD as in later-onset T2D. The increased likelihood of retinopathy in YOD was partly mediated by higher HbA1c and longer T2D duration, but after accounting for these factors it remained higher in men with YOD.

Insulin initiation in patients with type 2 diabetes is often delayed, but access to a diabetes nurse may help-insights from Norwegian general practice.

Objective: We opted to study how support staff operational capacity and diabetes competences may impact the timeliness of basal insulin-initiation in general practice patients with type 2 diabetes (T2D).Design/Setting/Outcomes: This was an observational and retrospective study on Norwegian primary care patients with T2D included from the ROSA4-dataset. Exposures were (1) support staff size, (2) staff size relative to number of GPs, (3) clinic access to a diabetes nurse and (4) share of staff with diabetes course (1 and 2 both relate to staff operational capacity, whereas 3 and 4 are both indicatory of staff diabetes competences). Outcomes were 'timely basal insulin-initiation' (primary) and 'attainment of HbA1c<7%' after insulin start-up (secondary). Associations were analyzed using multiple linear regression, and directed acyclic graphs guided statistical adjustments.Subjects: Insulin naïve patients with 'timely' (N = 294), 'postponed' (N = 219) or 'no need of' (N = 3,781) basal insulin-initiation, respectively.Results: HbA1c [median (IQR)] increased to 8.8% (IQR, 8.0, 10.2) prior to basal insulin-initiation, which reduced HbA1c to 7.3 (6.8-8.1) % by which only 35% of the subjects reached HbA1c <7%. Adjusted risk of 'timely basal insulin-initiation' was more than twofold higher if access to a diabetes nurse (OR = 2.40, [95%CI, 1.68, 3.43]), but related only vaguely to staff size (OR = 1.01, [95%CI, 1.00, 1.03]). No other staff factors related significantly to neither the primary nor the secondary outcome.Conclusion: In Norwegian general practice, insulin initiation in people with T2D may be affected by therapeutic inertia but access to a diabetes nurse may help facilitating more timely insulin start-up.

In patients with type 2 diabetes (T2D) cared for by their general practice physician (GP), insulin therapy was susceptible to therapeutic inertia.In Norwegian general practice, chance of timely basal insulin-initiation was found more than two-fold higher if the GP had access to a diabetes nurse.In contrast, the timeliness of basal insulin-initiation in general practice patients with T2D seemed unaffected by share of support staff with diabetes course and by factors indicatory of support staff overall operational capacity.In Norwegian general practice, a diabetes nurse seems to offer unique clinical benefits to the care of insulin treated patients with T2D.

Level of education is associated with coronary heart disease and chronic kidney disease in individuals with type 2 diabetes: a population-based study.

INTRODUCTION: To study the relationship between education level and vascular complications in individuals with type 2 diabetes in Norway. RESEARCH DESIGN AND METHODS: Multiregional population-based cross-sectional study of individuals with type 2 diabetes in primary care. Data were extracted from electronic medical records in the period 2012-2014. Information on education level was obtained from Statistics Norway. Using multivariable multilevel regression analyses on imputed data we analyzed the association between education level and vascular complications. We adjusted for age, sex, HbA1c, low-density lipoprotein cholesterol, systolic blood pressure, smoking and diabetes duration. Results are presented as ORs and 95% CIs. RESULTS: Of 8192 individuals with type 2 diabetes included, 34.0% had completed compulsory education, 49.0% upper secondary education and 16.9% higher education. The prevalence of vascular complications in the three education groups was: coronary heart disease 25.9%, 23.0% and 16.9%; stroke 9.6%, 7.4% and 6.6%; chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m2) 23.9%, 16.8% and 12.6%; and retinopathy 13.9%, 11.5% and 11.7%, respectively. Higher education was associated with lower odds for coronary heart disease (OR 0.59; 95% CI 0.49 to 0.71) and chronic kidney disease (OR 0.75; 95% CI 0.60 to 0.93) compared with compulsory education when adjusting for age, sex, HbA1c, low-density lipoprotein cholesterol, systolic blood pressure, smoking and diabetes duration. CONCLUSIONS: In a country with equal access to healthcare, high education level was associated with lower odds for coronary heart disease and chronic kidney disease in individuals with type 2 diabetes.

The total prevalence of diagnosed diabetes and the quality of diabetes care for the adult population in Salten, Norway.

Objective: To assess the total prevalence of types 1 and 2 diabetes and to describe and compare cardiovascular risk factors, vascular complications and the quality of diabetes care in adults with types 1 and 2 diabetes in Salten, Norway. Research design and methods: Cross-sectional study including all patients with diagnosed diabetes in primary and specialist care in Salten, 2014 (population 80,338). Differences in cardiovascular risk factors, prevalence of vascular complications and attained treatment targets between diabetes types were assessed using regression analyses. Results: We identified 3091 cases of diabetes, giving a total prevalence in all age groups of 3.8%, 3.4% and 0.45% for types 2 and 1 diabetes, respectively. In the age group 30-89 years the prevalence of type 2 diabetes was 5.3%. Among 3027 adults aged 18 years and older with diabetes, 2713 (89.6%) had type 2 and 304 (10.0%) type 1 diabetes. The treatment target for haemoglobin A1c (⩽7.0%/53 mmol/mol) was reached in 61.1% and 22.5% of types 2 and 1 diabetes patients, respectively. After adjusting for age, sex and diabetes duration we found differences between patients with types 2 and 1 diabetes in mean haemoglobin A1c (7.1% vs. 7.5%, P<0.001), blood pressure (136/78 mmHg vs. 131/74 mmHg, P<0.001) and prevalence of coronary heart disease (23.1% vs. 15.8%, P<0.001). Conclusions: The prevalence of diagnosed type 2 diabetes was slightly lower than anticipated. Glycaemic control was not satisfactory in the majority of patients with type 1 diabetes. Coronary heart disease was more prevalent in patients with type 2 diabetes.

High adherence to recommended diabetes follow-up procedures by general practitioners is associated with lower estimated cardiovascular risk.

AIMS: To explore whether the general practitioners' (GPs') performance of recommended processes of care was associated with estimated risk of cardiovascular disease (CVD) and poor glycaemic control in patients with type 2 diabetes. METHODS: A cross-sectional study from Norwegian general practice including 6015 people with type 2 diabetes <75 years old, without CVD and their 275 GPs. The GPs were split into quintiles based on each GP's average performance of six recommended processes of care. The quintiles were the exposure variable in multilevel regression models with 10-year risk of cardiovascular events estimated by NORRISK 2 (total and modifiable fraction) and poor glycaemic control (HbA1c >69 mmol/mol (>8.5%)) as outcome variables. RESULTS: The mean total and modifiable estimated 10-year CVD risk was 12.3% and 3.3%, respectively. Compared with patients of GPs in the highest-performing quintile, patients treated by GPs in the lowest quintile had an adjusted total and modifiable CVD risk that was 1.88 (95% CI 1.17-2.60) and 1.78 (1.14-2.41) percent point higher. This represents a relative mean difference of 16.6% higher total and 74.8% higher modifiable risk among patients of GPs in the lowest compared with the highest quintile. For patients with GPs in the lowest-performing quintile, the adjusted odds of poor glycaemic control was 1.77 (1.27-2.46) times higher than that for patients with a GP in the highest quintile. CONCLUSIONS: We found a pattern of lower CVD risk and better glycaemic control in patients of GPs performing more recommended diabetes processes of care.

Factors associated with treatment in primary versus specialist care: A population-based study of people with type 2 and type 1 diabetes.

AIMS: The objectives of this study are to identify the proportion and characteristics of people with type 1 and 2 diabetes treated in primary, specialist and shared care and to identify the proportion of persons with type 2 diabetes reaching HbA1c treatment targets and the clinical risk factors and general practitioner and practice characteristics associated with treatment in specialist care. METHODS: Population-based cross-sectional study including all adults ≥18 years diagnosed with diabetes in primary and specialist care in Salten, Norway. We used multivariable mixed-effects logistic regression models with level of care as outcome variable and population, general practitioner, and practice characteristics as exposure variables. RESULTS: Of 2704 people with type 2 diabetes, 13.5% were treated in shared care and 2.1% in specialist care only. Of 305 people with type 1 diabetes, 14.4% received treatment in primary care only. The HbA1c treatment target of 53 mmol/mol (7.0%) was reached by 67.3% of people with type 2 diabetes in primary care versus 30.4% in specialist care. HbA1c , use of insulin, coronary heart disease, retinopathy and urban practice location were positively associated with treatment in specialist care. General practitioners' use of a structured form and a diabetes nurse were negatively associated with specialist care. CONCLUSIONS: Of people with type 2 diabetes, 16% were treated in specialist care. They had higher HbA1c and more vascular complications, as expected from priority guidelines. The use of a structured diabetes form and diabetes nurses seem to support type 2 diabetes follow-up in primary care.

Factors associated with potential over- and undertreatment of hyperglycaemia and annual measurement of HbA1c in type 2 diabetes in norwegian general practice.

AIMS: To identify individual and general practitioner (GP) characteristics associated with potential over- and undertreatment of hyperglycaemia in type 2 diabetes and with HbA1c not being measured. METHODS: A cross-sectional study that included 10233 individuals with type 2 diabetes attending 282 GPs. Individuals with an HbA1c measurement during the last 15 months were categorized as potentially overtreated if they were prescribed a sulphonylurea and/or insulin when the HbA1c was less than 53 mmol/mol (7%) when aged over 75 years or less than 48 mmol/mol (6.5%) when aged between 65 and 75 years. Potential undertreatment was defined as age less than 60 years and HbA1c > 64 mmol/mol (8.0%) or HbA1c > 69 mmol/mol (8.5%) and treated with lifestyle modification and/or monotherapy. We used multilevel binary and multinominal logistic regression models to examine associations. RESULTS: Overall, 4.1% were potentially overtreated, 7.8% were potentially undertreated and 11% did not have HbA1c measured. Characteristics associated with potential overtreatment were as follows: long diabetes duration, prescribed antihypertensive medication, cardiovascular disease and renal failure. Potential undertreatment was associated with male gender, non-western origin and low educational level. Characteristics associated with not having an HbA1c measurement performed were male gender, age < 50 years and cardiovascular diseases. GP specialist status and GPs' use of a Noklus diabetes application reduced the risk of not having an HbA1c measurement performed. CONCLUSION: Potential overtreatment in elderly individuals with type 2 diabetes was relatively low. Nevertheless, appropriate de-intensification or intensification of treatment and regular HbA1c measurement in identified subgroups is warranted.

Variation between general practitioners in type 2 diabetes processes of care.

AIMS: To explore variation in general practitioners' (GPs') performance of six recommended procedures in type 2 diabetes patients <75 years without cardiovascular disease. METHODS: Cross-sectional study of quality of diabetes care in Norway based on electronic health records from 2014. GPs (clustered in practices) were divided in quintiles based on a composite measure of performance of six processes of care. We fitted a multilevel partial ordinal regression model to identify GP factors associated with being in quintiles with better performance. RESULTS: We identified 6015 type 2 diabetes patients from 275 GPs in 77 practices. The GPs performed on average 63.4% of the procedures; on average 46% in the poorest quintile to 81% in the best quintile with a larger range in individual GPs. After adjustments, use of a structured follow-up form was associated with GPs being in upper three quintiles (OR 12.4 (95% CI 2.37-65.1). Routines for reminders were associated with being in a better quintile (OR 2.6 (1.37-4.92). GPs' age >60 years and heavier workload were associated with poorer performance. CONCLUSION: We found large variations in GPs' performance of processes of care. Factors reflecting structure and workload were strongly associated with performance.

Ethnic and gender differences in the management of type 2 diabetes: a cross-sectional study from Norwegian general practice.

BACKGROUND: Ethnic minority groups from Asia and Africa living in Western countries have a higher prevalence of type 2 diabetes (T2DM) than the general population. We aimed to assess ethnic differences in diabetes care by gender. METHODS: Population-based, cross-sectional study identified 10,161 individuals with T2DM cared for by 282 General Practitioners (GP) in Norway. Ethnicity was based on country of birth. Multilevel regression models adjusted for individual and GP factors were applied to evaluate ethnic differences by gender. RESULTS: Diabetes was diagnosed at a younger mean age in all other ethnic groups compared with Westerners (men: 45.9-51.6 years vs. 56.4 years, women: 44.9-53.8 years vs. 59.1 years). Among Westerners mean age at diagnosis was 2.7 years higher in women compared with men, while no gender difference in age at diagnosis was found in any minority group. Daily smoking was most common among Eastern European, South Asian and Middle East/North African men. In both genders, we found no ethnic differences in processes of care (GPs' measurement of HbA1c, blood pressure, LDL-cholesterol, creatinine). The proportion who achieved the HbA1c treatment target was higher in Westerners (men: 62.3%; women: 66.1%), than in ethnic minorities (men 48.2%; women 53.5%). Compared with Western men, the odds ratio (OR) for achieving the target was 0.45 (95% CI 0.27 to 0.73) in Eastern European; 0.67 (0.51 to 0.87) in South Asian and 0.62 (0.43 to 0.88) in Middle Eastern/North African men. Compared with Western women, OR was 0.49 (0.28 to 0.87) in Eastern European and 0.64 (0.47 to 0.86) South Asian women. Compared with Westerners, the blood pressure target was more often achieved in South Asians and Middle Easterners/North Africans in both genders. Small ethnic differences in achieving the LDL-cholesterol treatment target by gender were found. CONCLUSION: Diabetes was diagnosed at a considerably earlier age in both minority men and minority women compared with Westerners. Several minority groups had worse glycaemic control compared with Westerners in both genders, which implies that it is necessary to improve glucose lowering treatment for the minority groups. Smoking cessation advice should particularly be offered to men in most minority groups.

Exploring the relationship between coronary heart disease and type 2 diabetes: a cross-sectional study of secondary prevention among diabetes patients.

BACKGROUND: Coronary heart disease (CHD) and stroke are the major causes of death among people with diabetes. AIM: To describe the prevalence and onset of CHD and stroke among patients with type 2 diabetes mellitus (T2DM) in primary care in Norway, and explore the quality of secondary prevention. DESIGN & SETTING: A cross-sectional study of data was undertaken from electronic medical records (EMRs) of 10 255 patients with T2DM in general practice. The study took place in five counties of Norway (Oslo, Akershus, Rogaland, Hordaland, and Nordland). Quality of care was assessed based on national guideline recommendations. METHOD: Summary statistics with adjustments and binary logistic regression models were used. RESULTS: In total, 2260 patients (22.1%) had CHD and 759 (7.4%) had stroke. South Asians had significantly more CHD than ethnic Norwegians (29.5%, 95% confidence interval [CI] = 26.1 to 33.0 versus 21.5%, CI = 20.6 to 22.3) and other ethnic groups, and experienced onset of CHD or stroke at a mean of 7 years before Norwegians. In 47.9% of the patients, CHD was diagnosed before T2DM. Treatment target for low-density lipoprotein (LDL) cholesterol was reached for 30.0% and for systolic blood pressure (SBP) for 65.1% of the patients with CHD. Further, 20.9% of patients with CHD were present smokers, and only 5.0% of patients reached all four treatment targets (no smoking, HbA1c ≤7.0%, SBP <135 mmHg, LDL-cholesterol <1.8 mmol/l). CONCLUSION: The diagnosis of CHD preceded the diagnosis of T2DM in half of the patients. The prevalence of CHD was highest and onset earlier among ethnic South Asians. More intensive treatment of lipids, blood pressure, and smoking are needed in patients with T2DM and CHD.

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be highly valuable. However, little is known about the use of eHealth in different socioeconomic groups among people with diabetes. OBJECTIVE: The aim of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and the association with socioeconomic status (SES) among people diagnosed with type 1 and type 2 diabetes mellitus (T1D and T2D, respectively). METHODS: We used email survey data from 1250 members of the Norwegian Diabetes Association (aged 18-89 years), collected in 2018. Eligible for analyses were the 1063 respondents having T1D (n=523) and T2D (n=545). 5 respondents reported having both diabetes types and thus entered into both groups. Using descriptive statistics, we estimated the use of the different types of eHealth. By logistic regressions, we studied the associations between the use of these types of eHealth and SES (education and household income), adjusted for gender, age, and self-rated health. RESULTS: We found that 87.0% (447/514) of people with T1D and 77.7% (421/542) of people with T2D had used 1 or more forms of eHealth sometimes or often during the previous year. The proportion of people using search engines was the largest in both diagnostic groups, followed by apps, social media, and video services. We found a strong association between a high level of education and the use of search engines, whereas there were no educational differences for the use of apps, social media, or video services. In both diagnostic groups, high income was associated with the use of apps. In people with T1D, lower income was associated with the use of video services. CONCLUSIONS: This paper indicates a digital divide among people with diabetes in Norway, with consequences that may contribute to sustaining and shaping inequalities in health outcomes. The strong relationship between higher education and the use of search engines, along with the finding that the use of apps, social media, and video services was not associated with education, indicates that adequate communication strategies for audiences with varying education levels should be a focus in future efforts to reduce inequalities in health outcomes.

Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study.

BACKGROUND: Despite the increasing prevalence of diabetes and increasing use of electronic health (eHealth) among people with diabetes, little is known about the association between the use of eHealth and the use of provider-based health services. OBJECTIVE: The objective of this study was to investigate whether the use of eHealth might change patients' decisions regarding doctor-seeking behavior and whether information acquired from the internet was discussed with a doctor. METHODS: We used email survey data collected in 2018 from members of the Norwegian Diabetes Association (aged 18 to 89 years) diagnosed with diabetes. Using logistic regressions, we studied patients' internet-triggered changes in decisions regarding doctor visits; whether they discussed information from the internet with a doctor; and whether these topics were associated with gender, age, education, self-rated health, and self-reported anxiety/depression. RESULTS: Among the 895 informants, 75.4% (645/856) had never made an internet-triggered change of decision in any direction regarding visiting a doctor, whereas 16.4% (41/859) had decided to visit and 17.3% (148/856) had decided not to visit. The probability of changing decisions decreased with higher age and increased with the severity of self-reported anxiety/depression. Around half of the study participants (448/858, 52.2%) had never discussed information from the internet with a doctor. The probability of discussing internet information with a doctor was higher for those in bad/very bad self-rated health (odds ratio 2.12, CI 1.15-3.90) and for those with moderate self-reported anxiety/depression (odds ratio 2.30, CI 1.30-4.10). CONCLUSIONS: Our findings suggest that using eHealth has a significant impact on doctor-visiting decisions among people with diabetes, especially among people aged 18 to 39 years and among those reporting anxiety/depression. It is of great importance that the information posted is of high quality and that the large differences between internet-users regarding age as well as mental and somatic health status are taken into account. More research is needed to confirm and further explore the findings of this study.

Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: Despite the increasing prevalence of diabetes and the increasing use of eHealth, little is known about the association between provider-based health services and eHealth among people with diabetes. This is the second study in a project exploring the associations between the use of eHealth and the use of provider-based health services. OBJECTIVE: The objective of this study was to investigate which eHealth services are used among out-of-hours (OOH) visitors with type 1 diabetes (T1D), and whether the use of eHealth (eg, apps, search engines, video services, and social media) was associated with the use of OOH services. We also wanted to investigate associations between anxiety, reassurance, and change in doctor-seeking behavior because of health information acquired from the Internet, and the use of OOH services. METHODS: We used data from a 2018 email survey of members of the Norwegian Diabetes Association (18-89 years old). Respondents with T1D were eligible for analyses. Using descriptive statistics, we estimated the use of OOH services and eHealth. Using logistic regressions, we studied the associations between the use of OOH services and the use of eHealth, as well as associations between the use of OOH services and reported consequences of using Internet-based health information. RESULTS: In the sample of 523 people with T1D (mean age 47 years), 26.7% (129/484) visited OOH services once or more during the previous year. Among the OOH visitors, search engines were used for health purposes by 86.7% (111/128), apps (health apps in general) by 63.6% (82/129), social media by 45.3% (58/128), and video services by 28.4% (36/127). The use of OOH services was positively associated with self-reported anxiety/depression (odds ratio [OR] 4.53, 95% CI 1.43-14.32) and with the use of apps (OR 1.73, 95% CI 1.05-2.85), but not with other types of eHealth. Those who had felt anxious based on information from the Internet were more likely to visit OOH services compared with those who had not felt anxious (OR 2.38, 95% CI 1.50-3.78). People who had decided to consult a doctor based on information from the Internet were more likely to visit OOH services (OR 2.76, 95% CI 1.64-4.66), compared to those who had not made such an Internet-based decision. CONCLUSIONS: People with T1D were frequent users of OOH services, and the OOH visitors were frequent users of eHealth. The use of OOH services was positively associated with the use of health apps, with self-reported anxiety/depression, and with feeling anxious based on information from the Internet. Likewise, deciding to consult a doctor based on information from the Internet was positively associated with OOH visits. The use of eHealth seems to have a significant impact on people with T1D.

Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be of great value. However, little is known about the association between the use of eHealth and provider-based health care services among people with diabetes. OBJECTIVE: The objective of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and associations with the use of provider-based health care visits among people diagnosed with type 1 diabetes mellitus (T1DM). METHODS: We used email survey data collected from 1250 members of the Norwegian Diabetes Association (aged 18 to 89 years) in 2018. Eligible for analyses were the 523 respondents with T1DM. Using descriptive statistics, we estimated the use of eHealth and the use of general practitioners (GPs) and somatic specialist outpatient services. By logistic regressions, we studied the associations between the use of these provider-based health services and the use of eHealth, adjusted for gender, age, education, and self-rated health. RESULTS: Of the sample of 523 people with T1DM, 90.7% (441/486) had visited a GP once or more, and 61.0% (289/474) had visited specialist services during the previous year. Internet search engines (such as Google) were used for health purposes sometimes or often by 84.0% (431/513), apps by 55.4% (285/514), social media (such as Facebook) by 45.2% (232/513), and video services (such as YouTube) by 23.3% (118/506). Participants aged from 18 to 39 years used all forms of eHealth more than people aged 40 years and older, with the exception of social media. The use of search engines was positively associated with the use of somatic specialist services (odds ratio 2.43, 95% CI 1.33-4.45). GP visits were not associated with any kind of eHealth use. CONCLUSIONS: eHealth services are now widely used for health support and health information by people with T1DM, primarily in the form of search engines but often in the form of apps and social media as well. We found a positive association between the use of search engines and specialist visits and that people with T1DM are frequent users of eHealth, GPs, and specialist services. We found no evidence that eHealth reduces the use of provider-based health care; these services seem to be additional rather than alternative. Future research should focus on how health care services can meet and adapt to the high prevalence of eHealth use. Our results also indicate that many patients with T1DM do not visit specialist clinics once a year as recommended. This raises questions about collaboration in health care services and needs to be followed up in future research.

Are general practitioners characteristics associated with the quality of type 2 diabetes care in general practice? Results from the Norwegian ROSA4 study from 2014.

OBJECTIVE: To explore the associations between general practitioners (GPs) characteristics such as gender, specialist status, country of birth and country of graduation and the quality of care for patients with type 2 diabetes (T2DM). DESIGN: Cross-sectional survey. SETTING AND SUBJECTS: The 277 GPs provided care for 10082 patients with T2DM in Norway in 2014. The GPs characteristics were self-reported: 55% were male, 68% were specialists in General Practice, 82% born in Norway and 87% had graduated in Western Europe. Of patients, 81% were born in Norway and 8% in South Asia. Data regarding diabetes care were obtained from electronic medical records and manually verified. MAIN OUTCOME MEASURES: Performance of recommended screening procedures, prescribed medication and level of HbA1c, blood pressure and LDL-cholesterol stratified according to GPs characteristics, adjusted for patient and GP characteristics. RESULT: Female GPs, specialists, GPs born in Norway and GPs who graduated in Western Europe performed recommended procedures more frequently than their counterparts. Specialists achieved lower mean HbA1c (7.14% vs. 7.25%, p < 0.01), a larger proportion of their patients achieved good glycaemic control (HbA1c = 6.0%-7.0%) (49.1% vs. 44.4%, p = 0.018) and lower mean systolic blood pressure (133.0 mmHg vs. 134.7 mmHg, p < 0.01) compared with non-specialists. GPs who graduated in Western Europe achieved lower diastolic blood pressure than their counterparts (76.6 mmHg vs. 77.8 mmHg, p < 0.01). CONCLUSION: Several quality indicators for type 2 diabetes care were better if the GPs were specialists in General Practice. Key Points Research on associations between General Practitioners (GPs) characteristics and quality of care for patients with type 2 diabetes is limited. Specialists in General Practice performed recommended procedures more frequently, achieved better HbA1c and blood pressure levels than non-specialists. GPs who graduated in Western Europe performed screening procedures more frequently and achieved lower diastolic blood pressure compared with their counterparts. There were few significant differences in the quality of care between GP groups according to their gender and country of birth.

Type 2 diabetes in general practice in Norway 2005-2014: moderate improvements in risk factor control but still major gaps in complication screening.

OBJECTIVE: To assess the status of type 2 diabetes care in general practice and changes in the quality of care between 2005 and 2014, and to identify areas of diabetes care requiring improvement. RESEARCH DESIGN AND METHODS: Two cross-sectional surveys were performed that included patients with type 2 diabetes in selected areas (n=9464 in 2014, n=5463 in 2005). Quality of care was assessed based on key recommendations in national guidelines. Differences in clinical performance between 2005 and 2014 were assessed in regression models adjusting for age, sex, counties and clustering within general practices. RESULTS: Treatment targets were achieved in a higher proportion of patients in 2014 compared with 2005: hemoglobin A1c ≤7.0% (≤53 mmol/mol) in 62.8% vs 54.3%, blood pressure ≤135/80 mm Hg in 44.9% vs 36.6%, and total cholesterol ≤4.5 mmol/L in 49.9% vs 33.5% (all adjusted P≤0.001). Regarding screening procedures for microvascular complications, fewer patients had recorded an eye examination (61.0% vs 71.5%, adjusted P<0.001), whereas more patients underwent monofilament test (25.9% vs 18.7%, adjusted P<0.001). Testing for albuminuria remained low (30.3%) in 2014. A still high percentage were current smokers (22.7%). CONCLUSIONS: We found moderate improvements in risk factor control for patients with type 2 diabetes in general practice during the last decade, which are similar to improvements reported in other countries. We report major gaps in the performance of recommended screening procedures to detect microvascular complications. The proportion of daily smokers remains high. We suggest incentives to promote further improvements in diabetes care in Norway.

The Use of eHealth and Provider-Based Health Services by Patients with Diabetes Mellitus: Protocol for a Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) resources are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be of great significance in this regard. However, little is known about the extent to which different kinds of eHealth tools are used, and how the use of eHealth is associated with the use of provider-based health care services among people with diabetes. OBJECTIVE: The primary objective of this study is to investigate the use of eHealth and its association with the use of provider-based health care services. The secondary objectives include investigating which eHealth services are used (apps, search engines, video services, social media), the relationship between socioeconomic status and the use of different eHealth tools, whether the use of eHealth is discussed in the clinical encounter, and whether such tools might lead to (or prevent) doctor visits and referrals. METHODS: We will conduct cross-sectional studies based on self-reported questionnaire data from the population-based seventh Tromsø Study. Participants will be diabetic patients aged 40 years and older. According to our estimates, approximately 1050 participants will be eligible for inclusion. Data will be analyzed using descriptive statistics, chi-square tests, and univariable and multivariable logistic regressions. RESULTS: The grant proposal for this study was approved by the Northern Norway Regional Health Authority on November 23, 2015 (HST 1306-16). Recruitment of participants for the Tromsø Study started in 2015 and will continue throughout 2016. This particular project started on July 1, 2016. CONCLUSIONS: This project may yield benefits for patients, health care providers, hospitals, and society as a whole. Benefits are related to improved prevention services, health, experience of care services, self-management tools and services, organizational structures, efficiency of specialist care use, allocation of resources, and understanding of how to meet the challenges from the increasing prevalence of diabetes. This project has potential for generalization to other groups with chronic disease.

Treatment of type 1 diabetes in the specialist health service--data from the Norwegian Diabetes Register for Adults.

BACKGROUND: The Norwegian Diabetes Register for Adults was established in 2005. The aim of the study is to assess the quality of treatment for adult patients with type 1 diabetes in the specialist health service based on register data. MATERIAL AND METHOD: We included patients ≥ 18 years with type 1 diabetes in the specialist health service for whom the register has data for the period from 1 July 2010-to 31 December 2011. The patients were asked to consent to the transfer of data to the register when they attended a routine consultation. As of 31 December 2011, 95% of the patients asked gave their consent. It is not known how large a proportion of patients were asked. RESULTS: We included the last registered data for 3,697 patients (46.8% women) from 24 outpatient clinics and specialist centres. The average age was 41.8 years and the average duration of diabetes was 20.8 years. Median HbA1c, systolic blood pressure and LDL cholesterol were 8.0%, 126 mm Hg and 2.8 mmol/l respectively. 9.8% achieved all treatment targets set out in the national guidelines for diabetes. 18% had HbA1c ≤ 7.0%, while 22% had HbA1c ≥ 9%. 39% of patients on statin therapy achieved the treatment target for LDL cholesterol. 19.6% smoked on a daily basis. 14.9% had received treatment for retinopathy and 5.8% had experienced coronary heart disease. There was no record of foot examination or ophthalmoscopy being performed in 33% and 29% of patients. INTERPRETATION: The preliminary register data indicate that diabetes treatment should be improved both with respect to the implementation of recommended procedures and the proportion of patients who achieve the treatment targets.