Mode of treatments and achievement of treatment targets among type 2 diabetes patients with different comorbidities - a register-based retrospective cohort study in Finland.

AIMS: Type 2 diabetes (T2D) is a progressive disease often associated with comorbidities that complicate the management of T2D and affect the achievement of treatment targets. However, adherence to guidelines and individualized treatments can potentially improve treatment outcomes. This study assessed the association between different glucose lowering and lipid lowering medication lines and the achievement of treatment targets with different comorbidities among a T2D cohort in North Karelia, Finland (2011-12 to 2015-16). METHODS: The data on all diagnosed T2D patients (n = 10,190) in North Karelia were collated retrospectively from regional electronic health records (EHRs). Analyses were performed considering the age, sex, and comorbidities such as cardiovascular diseases (CVD) and any mental disorders (AMD). We analyzed the trends in using glucose lowering and lipid lowering medications and the effect of changes in medication on the achievement of treatment targets among different patient groups. RESULTS: Metformin was the most common treatment in all patient groups. The use of only metformin declined and the use of metformin and/or other non-insulin medications increased during the follow-up. A Combination of insulin and non-insulin medication was mostly used by T2D patients with both cardiovascular diseases and mental disorders (T2D + CVD + AMD), and the use of insulin increased among this group in follow-up. Achievement of the glucose treatment target deteriorated even after the intensification of medication among all patient groups during the follow-up. A considerably higher number of patients with T2D + AMD and T2D + CVD + AMD did not use lipid lowering medication when compared to the T2D + CVD patients both at baseline and follow-up. However, the achievement of the LDL treatment target improved during the follow-up. CONCLUSION: Achievement of the glucose target deteriorated even after the intensification of treatment, and especially among patients with multiple diseases. Many T2D patients with AMD and CVD remained without lipid lowering medication, which needs further attention.

Data-driven long-term glycaemic control trajectories and their associated health and economic outcomes in Finnish patients with incident type 2 diabetes.

BACKGROUND: Treatments should be customized to patients to improve patients' health outcomes and maximize the treatment benefits. We aimed to identify meaningful data-driven trajectories of incident type 2 diabetes patients with similarities in glycated haemoglobin (HbA1c) patterns since diagnosis and to examine their clinical and economic relevance. MATERIALS AND METHODS: A cohort of 1540 patients diagnosed in 2011-2012 was retrieved from electronic health records covering primary and specialized healthcare in the North Karelia region, Finland. EHRs data were compiled with medication purchase data. Average HbA1c levels, use of medications, and incidence of micro- and macrovascular complications and deaths were measured annually for seven years since T2D diagnosis. Trajectories were identified applying latent class growth models. Differences in 4-year cumulative healthcare costs with 95% confidence intervals (CIs) were estimated with non-parametric bootstrapping. RESULTS: Four distinct trajectories of HbA1c development during 7 years after T2D diagnosis were extracted: patients with "Stable, adequate" (66.1%), "Slowly deteriorating" (24.3%), and "Rapidly deteriorating" glycaemic control (6.2%) as well as "Late diagnosed" patients (3.4%). During the same period, 2.2 (95% CI 1.9-2.6) deaths per 100 person-years occurred in the "Stable, adequate" trajectory increasing to 3.2 (2.4-4.0) in the "Slowly deteriorating", 4.7 (3.1-6.9) in the "Rapidly deteriorating" and 5.2 (2.9-8.7) in the "Late diagnosed" trajectory. Similarly, 3.5 (95% CI 3.0-4.0) micro- and macrovascular complications per 100 person-years occurred in the "Stable, adequate" trajectory increasing to 5.1 (4.1-6.2) in the "Slowly deteriorating", 5.5 (3.6-8.1) in the "Rapidly deteriorating" and 7.3 (4.3-11.8) in the "Late diagnosed" trajectory. Patients in the "Stable, adequate" trajectory had lower accumulated 4-year medication costs than other patients. CONCLUSIONS: Data-driven patient trajectories have clinical and economic relevance and could be utilized as a step towards personalized medicine instead of the common "one-fits-for-all" treatment practices.

Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013-2019.

AIMS: To analyse the prevalence of prescribed medications among people with type 2 diabetes, their relationship to HbA1c levels and transitions between medications. METHODS: The data included all 18- to 85-year-old adults with type 2 diabetes (identified from the electronic health records), who lived in North Karelia, Finland, between 2013 and 2019. Type 2 diabetes medication was defined based on prescriptions. Logistic and linear regressions with generalized estimating equations were used to assess the differences between years. RESULTS: Metformin as a monotherapy was the most used medication (33%-35%) with the largest percentage of those in good glycaemic control. After metformin, the most used medications were long-acting and short-acting insulin and gliptin (16%-24% per group). In insulin groups, there were the smallest percentage of people in good glycaemic control. The use of SGLT2-i increased most during the follow-up (from 1.6% to 11%), but at the same time the percentage of those meeting the target HbA1c level decreased the most (from 83% to 53%). The use of GLP-1 RA and other medications were under 3.5%. SGLT2-i and insulin were the most stable medication groups. The most common transitions were from SGLT2-i to long-acting insulin and between insulin groups. CONCLUSIONS: The sequencing of prescribing additional type 2 diabetes medication or replacing current medication with new ones seems to occur according to guidelines. However, more attention should be paid to the intensification of treatment and the possibilities for new treatment choices in the management of T2D taking into account the persons' characteristics.

The effect of the integration of health services on health care usage among patients with type 2 diabetes in North Karelia, Finland.

BACKGROUND: The need to improve the care of people with complex care requirements has been driving the reforms integrating care processes. This study examines the effect of the integration of health services on health care usage and the processes and outcomes of care among type 2 diabetes patients. METHODS: Data include all type 2 diabetes patients who lived in North Karelia, Finland, between 2014 and 2018. Health care contacts and glycated haemoglobin (HbA1c) measurements were obtained from the electronic health records. Logistic, Poisson and linear models with generalised estimating equations and the Friedman test were used to study the differences between years. RESULTS: The health care usage was highest in 2017, the first year of a new organisation, and smallest in the following year. Before the new organisation, the health care usage was lowest in 2014, being slightly higher compared with 2018. Between the last two years, the mean number of contacts per person declined from 3.25 to 2.88 (-0.37, p < 0.001). The decreasing pattern seen in total health care usage was most obvious among contacts with primary health care nurses. The number of contacts increased only among specialised care nurses between the last two years. The number of HbA1c measurements was also in its lowest in 2018 but in its highest in 2015. Between the years 2014 and 2018, the difference in the mean number of contacts was - 0.05 (p = 0.011) for those not measured, -0.02 (p = 0.225) for those measured and within the target level of HbA1c, and 0.12 (p = 0.001) for those measured and not at the target level of HbA1c. CONCLUSIONS: Health care integration first increased the health care usage but then brought it to a slightly lower level than before. The changes were most obvious in primary health care nurses' appointments, and no decline was observed in secondary-level care. Even though the numbers of HbA1c measurements and the proportion measured declined, measurements increased among those with poor glycaemic control. The observed changes might reflect the better targeting and more concordant services in different service units.

Trends in the process and outcome indicators of type 2 diabetes care: a cohort study from Eastern Finland, 2012-2017.

BACKGROUND: Evidence-based guidelines include concrete treatment targets that can be used as process and outcome indicators in the evaluation of the quality of healthcare services and diabetes care. Quality improvement can be evaluated by monitoring longitudinal trends in the care indicators on the system level. The aim of this study is to describe trends in the processes and outcomes of care among people with type 2 diabetes in North Karelia, Finland. METHODS: The data consist of all adults with type 2 diabetes (identified from the EHRs using ICD-10 codes) who used primary or specialized care services in North Karelia during 2012-2017. The diabetes care was evaluated using the measurement activity, treatment levels, and the achievement of the treatment targets for HbA1c and LDL as care indicators. Logistic and linear models with generalized estimating equations were used to assess the differences between years, sexes, and age groups. RESULTS: The proportion of patients with annual measurement varied between 75.8 and 78.1% for HbA1c and between 67.4 and 69.1% for LDL during a five-year follow-up. The changes in average levels were moderate: a 0.2% (2 mmol/mol) increase for HbA1c and a 0.1 mmol/l decrease for LDL. Anyway, the proportion of patients meeting the treatment target for HbA1c decreased from 72.7 to 67.3% (age-adjusted decrease: 5.7%p, 95% CI: 4.5-6.9) and for LDL it increased from 53.4 to 59.5% (age-adjusted increase: 5.6%p, 95% CI: 4.2-7.0). Women were measured and met the HbA1c target level more often compared with men. Conversely, men met the LDL target level more often than women, and the age-adjusted difference between sexes increased smoothly from 7.9%p to 11.7%p. CONCLUSIONS: The achievements in relation to type 2 diabetes care in North Karelia are very good, but no major improvement was observed during follow-up. HbA1c levels had a rising tendency and LDL levels declining tendency indicating quality improvement in LDL management, but challenges in further improvement in glucose control.

Impact of co-payment level increase of antidiabetic medications on glycaemic control: an interrupted time-series study among Finnish patients with type 2 diabetes.

BACKGROUND: A new special reimbursement scheme (SRS) for non-insulin medications used for treatment of hyperglycaemia in type 2 diabetes (T2D) was implemented in Finland on January 1, 2017. The new SRS affected all community-dwelling Finnish T2D patients as all community-dwelling residents are eligible for reimbursement for prescription medications. The aim of the study was to evaluate the impact of this co-payment increase on glycaemic control among Finnish T2D patients. METHODS: Data on glycaemic control were collected with HbA1c measures from electronic health records from primary health care and specialized care in the North Karelia region, Finland, from patients with a confirmed T2D diagnosis in 2012 who were alive on January 1, 2017 (n = 8436). Average HbA1c levels were measured monthly 36 months before and 33 months after the policy change. Consumption of diabetes medications was measured with defined daily doses (DDDs) based on reimbursed medication purchases. Interrupted time series design analysed with segmented regression model was applied to examine the effect of the policy change on average HbA1c levels. RESULTS: Eight thousand one hundred forty-three T2D patients had at least one HbA1c measurement within 01/2014-9/2019. Mean age of the patients was 68.1 (SD 11.3) years and 53.0% were women. Average time since T2D diagnosis was 11.5 (SD 6.1) years. An estimated increase of 0.81 (95% confidence interval, CI, 0.04-1.58) mmol/mol in average HbA1c levels was detected at the time of the policy change. In subgroup analyses, strongest effects were detected among patients who used only other diabetes medications than insulin or metformin in 2016 (3.56 mmol/mol, 95% CI 2.50-4.62). Meanwhile, yearly consumption of diabetes medications decreased slightly from 618.9 (SD 487.8) DDDs/patient in 2016 to 602.9 (SD 475.6) DDDs/patient in 2017 (p = 0.048). CONCLUSIONS: Simultaneously with the increase of the co-payment level, the average HbA1c level increased among T2D patients from the North Karelia region, Finland. This may be explained by the decreased consumption of diabetes medications between 2016 and 2017. Special attention should be allocated to glycaemic control of patients utilizing only other antidiabetic medications than metformin or insulin.

Association of mental disorders and quality of diabetes care - A six-year follow-up study of type 2 diabetes patients in North Karelia, Finland.

AIMS: To compare the quality of diabetes care among type 2 diabetes patients with and without mental disorders during six-year follow-up in North Karelia, Finland. METHODS: All type 2 diabetes patients (n = 10190) were analysed using the electronic health records data from 2011-12 to 2015-16. The diabetes care was evaluated using the measurement activity and the achievement of the treatment targets for HbA1c and LDL. RESULTS: Monitoring of HbA1c and LDL levels improved among all patient groups, except the dementia patients. The proportion of those achieving the HbA1c target declined and those achieving the LDL target improved in all patient groups. Differences in the changes of achievement of the target HbA1c level among patients with dementia and depression were observed when compared with those having only type 2 diabetes. CONCLUSIONS: This study highlights the challenge of glucose level management as the age and comorbidities of the patients related to the care and achievements of the treatment targets. Mental disorders that are likely to affect patients' adherence to medication and other treatments should be taken into account and more support for self-care should be provided to such patients. Improvement in the achievement of LDL target address the progress in the prevention of macrovascular complications.

Electronic Health Records as Valuable Data Sources in the Health Care Quality Improvement Process.

BACKGROUND: In North Karelia, Finland, the regional electronic health records (EHRs) enable flexible data retrieval and area-level analyses. The aim of this study was to assess the early detection of type 2 diabetes (T2D) in the region and to evaluate the performed activities in order to improve the processes between the years 2012 and 2017. METHODS: Patients with T2D were identified from the EHRs using the ICD-10 codes registered during any visit to either primary or specialized care. The prevalence of T2D was calculated for the years 2012, 2015, and 2017 on the municipality level. The number of people found in the EHRs with diabetes was compared with the number found in the national register of medication reimbursement rights. RESULTS: In 2012, the age-adjusted prevalence of T2D in North Karelia varied considerably between municipalities (5.5%-8.6%). These differences indicate variation in the processes of early diagnosis. The findings were discussed in the regional network of health professionals treating patients with T2D, resulting in sharing experiences and best practices. In 2017, the differences had notably diminished, and in most municipalities, the prevalence exceeded 8%. The regional differences in the prevalence and their downward trend were observed both in the EHRs and in the medication reimbursement rights register. CONCLUSION: Clear differences in the prevalence of T2D were detected between municipalities. After visualizing these differences and providing information for the professionals, the early detection of T2D improved and the regional differences decreased. The EHRs are a valuable data source for knowledge-based management and quality improvement.

Maintenance of good glycaemic control is challenging - A cohort study of type 2 diabetes patient in North Karelia, Finland.

AIMS: This study assessed type 2 diabetes treatment outcomes and process indicators using a comprehensive type 2 diabetes patient cohort in North Karelia, Finland, from 2011 to 2016. METHODS: Data from all diagnosed type 2 diabetes patients (n = 8429) living in North Karelia were collated retrospectively from regional electronic patient records. We assessed whether HbA1c and low-density lipoprotein (LDL) were measured and managed as recommended. RESULTS: The HbA1c measurement rate improved (78% vs 89%) during 2011-2012 and 2015-2016, but a gradual deterioration in glycaemic control (HbA1c < 7.0% or 53 mmol/mol) was observed among both females (75% vs 67%) and males (72% vs 64%). The LDL measurement rate initially improved from the baseline. LDL control (<2.5 mmol/L) improved among both females (52% vs 59%) and males (58% vs 66%). A gender difference was observed in the achievement of the treatment target for LDL, with females showing worse control. CONCLUSIONS: Low-density lipoprotein (LDL) control in type 2 diabetes patients has improved, but the existence of gender disparities needs further attention. Maintaining appropriate HbA1c control among type 2 diabetes patients over time appears to be difficult. Active follow-up and tailored treatment have the potential to improve the quality of care. Electronic patient records could be more efficiently used to improve the quality of care and to support decision-making.

Glycemic Control in Adult Type 1 Diabetes Patients with Insulin Glargine, Insulin Detemir, or Continuous Subcutaneous Insulin Infusion in Daily Practice.

BACKGROUNDS: This study aims to compare glycemic control of persons with type 1 diabetes using multiple daily injections (MDI) with insulin glargine versus insulin detemir or with continuous subcutaneous insulin infusion (CSII) in daily practice. SUBJECTS AND METHODS: All adult individuals with type 1 diabetes (n = 1053) were identified from the electronic patient database in North Karelia, Finland. The persons' individual data for insulin treatment, diabetic ketoacidosis (DKA), and hemoglobin A1c (HbA1c) measurements during the year 2014 were obtained from medical records. Persons using long-acting insulin analogs or CSII were included in the analyses (n = 1004). RESULTS: Altogether, 47.7% used glargine, 43.9% used detemir, and 8.4% used CSII. The mean HbA1c was lower in the CSII group (63 mmol/mol [7.9%]) compared with the glargine group (66 mmol/mol [8.2%]) or the detemir group (67 mmol/mol [8.3%]). The overall rate of DKA was 5.1% per year. The rate of DKA was higher in the detemir group compared with the glargine group (6.3% per year vs. 3.8% per year, respectively, P < 0.049). In logistic regression analyses, the higher rate of DKA with detemir use was explained by HbA1c. CONCLUSIONS: In daily practice, the glycemic control of type 1 diabetes patients with MDI was similar regardless of basal insulin, glargine, or detemir, whereas CSII allowed better glycemic control than MDI. The rate of DKA was higher with detemir than with glargine, but this is likely related to higher HbA1c rather than insulin regimen.

How are metabolic control targets of patients with Type 1 diabetes mellitus achieved in daily practice in the area with high diabetes prevalence?

AIMS: We assessed the prevalence of Type 1 diabetes mellitus and determined how the targets established in the guidelines for patients with Type 1 diabetes mellitus were achieved in clinical practice in North Karelia, Finland. METHODS: All adult Type 1 diabetes mellitus patients (n=1075) were identified from the regional electronic patient database. The data for HbA1c and LDL cholesterol measurements during the years 2013 and 2014 were obtained from medical records. RESULTS: The prevalence of Type 1 diabetes mellitus in the adult population in North Karelia was 0.8%, which is among the highest worldwide. HbA1c and LDL cholesterol were measured in 93% and 90% of participants, respectively. Nineteen percent of patients reached the HbA1c target of <7.0% (53mmol/mol) and 45% attained LDL cholesterol <2.5mmol/l. Overall, 26% of patients over 60 years old with diabetes achieved glycaemic control targets compared with 13-16% of younger patients with diabetes. CONCLUSIONS: Glycaemic control was in line with the recommendations in only one-fifth of Type 1 diabetes mellitus patients and less than half of them had LDL cholesterol levels within the target range. Interestingly, older Type 1 diabetes mellitus patients met the glycaemic control target more often than younger patients with diabetes. The targets established for patients with Type 1 diabetes mellitus are not achieved satisfactorily in daily practice.

Type 2 diabetes care in North Karelia Finland: do area-level socio-economic factors affect processes and outcomes?

AIMS: This research assessed the impact of area-level socio-economic factors on the prevalence and outcomes of type 2 diabetes in North Karelia, Finland. METHODS: All type 2 diabetes patients (n=10,204) were analyzed from the regional electronic patient database during the years 2011 and 2012. The patient's individual laboratory data was used to assess whether hemoglobin A1c (HbA1c) was measured and whether the recommended level of HbA1c <7% (<53 mmol/l) was achieved. The variables describing socio-economic characteristics of postal code areas were retrieved from the database of Statistics Finland. Linear and logistic regression analyses were used to determine associations. RESULTS: HbA1c had been measured in 83% of patients. Over 70% of those with HbA1c measured reached the recommended level of HbA1c. The worse the area-level socio-economic status, the more probably HbA1c was not measured. Achieving the recommended HbA1c level was associated with being female and having a better area-level socio-economic status. The age-adjusted prevalence of type 2 diabetes was not linearly dependent on the socio-economic circumstances of the postal code areas. CONCLUSIONS: This study shows that socio-economic factors at the small area-level are associated with treatment outcomes. The information from the regional electronic patient database linked with area-level socio-economic information could be effectively utilized to improve diabetes care.