Initial therapy, persistence and regimen change in a cohort of newly treated type 2 diabetes patients

Patterns of initial and first-intensifying antidiabetic drug utilization among patients with type 2 diabetes mellitus in Scotland, 2010-2020: A retrospective population-based cohort study

AIM

To evaluate the utilization and prescribing patterns of antidiabetic drugs (ADDs) for patients with type 2 diabetes mellitus (T2DM) at treatment initiation and first intensification.

METHODS

A retrospective cohort study was performed using linked routinely collected data of patients with T2DM who received ADDs between January 2010 and December 2020 in Scotland. The prescribing patterns were quantified using frequency/percentages, absolute/relative change, and trend tests.

RESULTS

Overall, 145 909 new ADD users were identified, with approximately 91% (N = 132 382) of patients receiving a single ADD at first treatment initiation. Metformin was the most often prescribed monotherapy (N = 118 737, 89.69%). A total of 50 731 patients (39.40%) who were started on metformin (N = 46 730/118 737, 39.36%) or sulphonylurea (SU; N = 4001/10 029, 39.89%) monotherapy had their treatment intensified with one or more additional ADD. Most initial-metformin (45 963/46 730; 98.36%) and initial-SU users (3894/4001; 97.33%) who added further drugs were intensified with single ADDs. SUs (22 197/45 963; 48.29%) were the most common first-intensifying monotherapy after initial metformin use, but these were replaced by sodium-glucose cotransporter-2 (SGLT2) inhibitors in 2019 (SGLT2 inhibitors: 2039/6065, 33.62% vs. SUs: 1924/6065, 31.72%). Metformin was the most frequently added monotherapy to initial SU use (2924/3894, 75.09%). Although the majority of patients received a single ADD, the use of combination therapy significantly increased over time. Nevertheless, there was a significant increasing trend towards prescribing the newer ADD classes (SGLT2 inhibitors, dipeptidyl peptidase-4 inhibitors) as monotherapy or in combination compared with the older ones (SUs, insulin, thiazolidinediones) at both drug initiation and first intensification.

CONCLUSIONS

An overall increasing trend in prescribing the newer ADD classes compared to older ADDs was observed. However, metformin remained the most commonly prescribed first-line ADD, while SGLT2 inhibitors replaced SUs as the most common add-on therapy to initial metformin use in 2019.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Meta-analysis of factors associated with antidiabetic drug prescribing for type 2 diabetes mellitus

BACKGROUND

There is a lack of consensus on prescribing alternatives to initial metformin therapy and intensification therapy for type 2 diabetes mellitus (T2DM) management. This review aimed to identify/quantify factors associated with prescribing of specific antidiabetic drug classes for T2DM.

METHODS

Five databases (Medline/PubMed, Embase, Scopus, Web of Science) were searched using the synonyms of each concept (patients with T2DM, antidiabetic drugs and factors influencing prescribing) in both free text and Medical Subject Heading (MeSH) forms. Quantitative observational studies evaluating factors associated with antidiabetic prescribing of metformin, sulfonylurea, thiazolidinedione, Dipeptidyl-peptidase 4 inhibitors (DPP4-I), sodium glucose transporter 2 inhibitors (SGLT2-I), Glucagon-Like peptide receptor agonist (GLP1-RA) and insulin in outpatient settings and published from January 2009 to January 2021 were included. Quality assessment was performed using a Newcastle-Ottawa scale. The validation was done for 20% of identified studies. The pooled estimate was measured using a three-level random-effect meta-analysis model based on odds ratio [95% confidence interval]. Age, sex, body mass index (BMI), glycaemic control (HbA1c) and kidney-related problems were quantified.

RESULTS

Of 2331 identified studies, 40 met the selection criteria. Of which, 36 and 31 studies included sex and age, respectively, while 20 studies examined baseline BMI, HbA1c and kidney-related problems. The majority of studies (77.5%, 31/40) were rated as good and despite that the overall heterogeneity for each studied factor was more than 75%, it is mostly related to within-study variance. Older age was significantly associated with higher sulfonylurea prescription (1.51 [1.29-1.76]), yet lower prescribing of metformin (0.70 [0.60-0.82]), SGLT2-I (0.57 [0.42-0.79]) and GLP1-RA (0.52 [0.40-0.69]); while higher baseline BMI showed opposite significant results (sulfonylurea: 0.76 [0.62-0.93], metformin: 1.22 [1.08-1.37], SGLT2-I: 1.88 [1.33-2.68], and GLP1-RA: 2.35 [1.54-3.59]). Both higher baseline HbA1c and having kidney-related problems were significantly associated with lower metformin prescription (0.74 [0.57-0.97], 0.39 [0.25-0.61]), but more insulin prescriptions (2.41 [1.87-3.10], 1.52 [1.10-2.10]). Also, DPP4-I prescriptions were higher for patients with kidney-related problems (1.37 [1.06-1.79]) yet lower among patients with higher HbA1c (0.82 [0.68-0.99]). Sex was significantly associated with GLP1-RA and thiazolidinedione prescribing (F:M; 1.38 [1.19-1.60] and 0.91 [0.84-0.98]).

CONCLUSION

Several factors were identified as potential determinants of antidiabetic drug prescribing. The magnitude and significance of each factor differed by antidiabetic class. Patient's age and baseline BMI had the most significant association with the choice of four out of the seven studied antidiabetic drugs followed by the baseline HbA1c and kidney-related problems which had an impact on three studied antidiabetic drugs, whereas sex had the least impact on prescribing decision as it was associated with GLP1-RA and thiazolidinedione only.

Individualized HbA1c Goals, and Patient Awareness and Attainment of Goals in Type 2 Diabetes Mellitus: A Real-World Multinational Survey

Aims

While glycemic control is key in effective type 2 diabetes mellitus management, many patients fail to reach their individualized glycemic goal. This analysis aimed to describe a real-world picture of diabetes management: individualized hemoglobin A_1c (HbA_1c) goals, rate of goal attainment, HbA_1c at each line of therapy, and patient awareness of their glycemic goal. Secondly, we aimed to understand physician satisfaction with HbA_1c amongst patients aware vs. those unaware of HbA_1c goal.

Methods

Analysis of physicians and the next ten consulting patients with type 2 diabetes mellitus conducted in Europe and the USA including medical record data abstraction/assessment by physicians, a patient-reported survey and a physician survey. Patients were diagnosed for 3 months or more with a known current and target HbA_1c. For the sub-analysis assessment of patient awareness of HbA_1c goal, in addition to the above, these patients had to have completed a patient-reported questionnaire and answer the question on awareness of HbA_1c goal.

Results

A total of 730 physicians provided data on 8794 patients with type 2 diabetes mellitus; 5331 patients were eligible for this analysis. Overall, mean (standard deviation, SD) individualized HbA_1c goal was 6.8% (0.68%). Of eligible patients, 39.1% met their HbA_1c goal; of 60.9% of patients not reaching their HbA_1c goal, the mean distance from individualized HbA_1c goal was 0.9% (SD 1.0%). Physicians progressed patients’ antihyperglycemic therapy when HbA_1c was 8% or higher. Among 2560 patients who were included in the sub-analysis assessing the effect of patient awareness of their HbA_1c goal on multiple parameters, 70.5% were aware of their HbA_1c goal; mean HbA_1c goal was 6.8% (0.7%) and current mean HbA_1c value 7.1% (1.2%). A total of 949 patients in the sub-analysis (39.2%) achieved their goal; achieving HbA_1c goal was not related to knowledge of goal. Patients aware of their HbA_1c goal were slightly more adherent to their antihyperglycemic medication. They also were prescribed more antihyperglycemic agents, more often on a later therapy line receiving a GLP-1 receptor agonist, SGLT2i, or insulin, and more often tested their blood glucose levels than patients who were unaware. Physicians were not satisfied with the current blood glucose level of one third of their patients, believing that more of those who were aware of their HbA_1c goal could achieve better glucose control (32.4% of aware vs. 28.2% of unaware patients; p = 0.003).

Conclusions

Our results showed that the proportion of patients with type 2 diabetes mellitus achieving their goals for glycemic control was suboptimal when compared to current guideline criteria, with only about 40% of patients achieving their individualized HbA_1c goal. Treatment intensification was often delayed until HbA_1c was 8% and higher. Patients aware of their HbA_1c goal were slightly more adherent to their antihyperglycemic medication; however, awareness of HbA_1c goal did not enhance goal attainment. This highlights the need for a holistic approach to diabetes management, involving patient education, and patient–physician communication and partnership.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12325-021-01985-3.

Treatment Dynamics in People Who Initiate Metformin or Sulfonylureas for Type 2 Diabetes: A National Cohort Study

Aim: To investigate the incidence of, and factors associated with addition and switching of glucose-lowering medications within 12-months of initiating metformin or a sulfonylurea for type 2 diabetes (T2D). Methods: We identified 109,573 individuals aged 18-99 years who initiated metformin or a sulfonylurea between July 2013 and April 2015 using Australian National Diabetes Service Scheme (NDSS) data linked with national dispensing data. Cox proportional hazards regression was used to estimate adjusted hazard ratios (HRs) with 95% confidence intervals (CI) for factors associated with time to addition to or switch from metformin or sulfonylurea over a 12-months follow-up. Results: Treatment addition or switching occurred in 18% and 4% of individuals who initiated metformin and in 28% and 13% of individuals who initiated sulfonylureas. Median time to addition was 104 days for metformin and 82 days for sulfonylureas. Median time to switching was 63 days for metformin and 52 days for sulfonylureas. Congestive heart failure, nicotine dependence, end stage renal disease and dispensing of systemic corticosteroids were associated with higher likelihood of treatment additions and switching in individuals initiating metformin. Antipsychotic dispensing was associated with a higher likelihood of treatment addition in individuals initiating sulfonylureas. Women initiating metformin were less likely to receive treatment additions but more likely to switch treatment than men. Conclusion: Nearly one quarter of Australians who initiate treatment for T2D with metformin or sulfonylureas switch or receive additional treatment within 12-months, with those who initiate sulfonylureas more likely to switch or receive additional treatment than those who initiate metformin.

Treatment pathways in people with type 2 diabetes mellitus: a nationwide cohort study of new users of metformin monotherapy in New Zealand

OBJECTIVES

The aims of this study were to describe the following: (1) the time to change of therapy in patients with type 2 diabetes who had initiated metformin monotherapy as first-line treatment and (2) the sequence in which subsequent therapeutic regimens were introduced.

DESIGN

Cohort study.

SETTING

National study based on linked data from the New Zealand Ministry of Health's National Collections of health and pharmaceutical dispensing data.

PARTICIPANTS

People with type 2 diabetes mellitus who initiated metformin monotherapy between 1 January 2006 and 30 September 2014 (n=93 874).

PRIMARY OUTCOME MEASURES

Cumulative incidence curves were plotted to show the time taken to move from one regimen to another, while sunburst plots were used to illustrate the sequence in which regimens were introduced.

RESULTS

About 10% and 35% of cohort members had moved to a second regimen 1 year and 5 years, respectively, after initiating metformin monotherapy; the majority received a regimen recommended by New Zealand treatment guidelines (mostly metformin and a sulphonylurea). Of those who started a recommended second regimen, 37% and 67% had moved to a third regimen after 1 and 5 years, respectively; the corresponding proportions for those who started an 'other' (not listed as recommended) second regimen were 53% and 75%. Most of those who received a third regimen after a recommended second regimen were dispensed an 'other' third regimen. Of those who moved to a third regimen from an 'other' second regimen, similar proportions received recommended and 'other' third regimens.

CONCLUSIONS

Real-world type 2 diabetes treatment patterns in New Zealand are complex and not always consistent with guidelines.

Patterns of metformin monotherapy discontinuation and reinitiation in people with type 2 diabetes mellitus in New Zealand

Aim

To describe the patterns of discontinuation and reinitiation in new users of metformin monotherapy in New Zealand, overall and according to person- and healthcare-related factors.

Materials and methods

We created a cohort (n = 85,066) of all patients in New Zealand with type 2 diabetes mellitus who initiated metformin monotherapy between 1 January 2006 and 30 September 2014 from the national data collections, and followed them until the earlier of their death or 31 December 2015. Discontinuation was defined as a gap in possession of metformin monotherapy of ≥90 days. We explored patterns of discontinuation and reinitiation using competing risks methods.

Results

After 1 year of follow-up, 28% of cohort members had discontinued metformin monotherapy at least once; the corresponding figures after 2 and 5 years were 37% and 46%. The proportions who reinitiated metformin monotherapy within 1, 2, and 5 years of their first discontinuation were 23%, 49%, and 73%. Discontinuation after the first reinitiation was common (48% after 1 year). Discontinuation and reinitiation varied by age, ethnicity, and other person- and healthcare-related factors.

Discussion

Our findings highlight the dynamic nature of metformin monotherapy use, show that substantial periods of non-use are common, and identify priority populations for interventions to facilitate adherence.

Efficacy of a Combination of Metformin and Vildagliptin in Comparison to Metformin Alone in Type 2 Diabetes Mellitus: A Multicentre, Retrospective, Real-World Evidence Study

BACKGROUND

Early use of combination therapy in diabetes patients may lead to sustained glycemic control and thereby reduce the progression of diabetic complications. Given the limitation of the traditional stepwise intensification strategy, early combination therapy can be an effective approach. Therefore, this study aims to assess the real-world efficacy of a combination of metformin and vildagliptin in comparison to metformin alone in type 2 diabetes mellitus (T2DM) patients in India.

METHODS

This was an observational, retrospective, non-interventional study based on electronic medical records (EMRs) of 2740 T2DM patients, retrieved from 2010 onwards from 22 diabetes centres across India. Adult drug naïve patients with a 5-year history of T2DM treated with either metformin or a combination of metformin and vildagliptin for at least 3 months were considered for this study. Efficacy assessment was done to evaluate the post-treatment HbA1c levels and patients requiring additional oral antidiabetic drugs (OADs) at the time of follow-up visit. Patients were also analyzed for the occurrence of adverse events.

RESULTS

Out of the total, 2452 patients were in metformin only arm, and 288 patients were in metformin plus vildagliptin treatment arm. A more significant reduction in HbA1c level was observed in metformin plus vildagliptin arm than metformin only arm (median: -0.5% vs 0%, respectively; p<0.001). Patients requiring additional OAD at follow-up were significantly lesser in the metformin plus vildagliptin arm than the metformin only arm (15.6% vs 35.2%, respectively; p<0.001). The adverse events were comparable across the two arms, and commonly reported adverse events were giddiness, fatigue and gastric discomfort.

CONCLUSION

The findings of this EMR-based real-world study emphasizes the need for early initiation of combination therapy (metformin plus vildagliptin) over metformin monotherapy for achieving better glycemic control.

Real World Use of Antidiabetic Drugs in the Years 2011-2017: A Population-Based Study from Southern Italy

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia. The availability of new antidiabetic drugs (ADs) has led to complex treatment patterns and to changes in the patterns of specific drug utilization. The aim of this population-based study was to describe the pattern of antidiabetic drugs (ADs) use in Southern Italy in the years 2011–2017, in relation to the updated type 2 diabetes mellitus (T2DM) therapy guidelines. A retrospective cohort study was conducted on T2DM patients using data from the Palermo Local Health Unit (LHU) claims database and diabetologist registry. The first-line treatment was investigated and incident treatments were identified and characterized at baseline in terms of demographics, complications, comorbidities, concomitant drugs and clinical parameters. Persistence to AD treatment was also evaluated. During the study period, one-third of first ever ADs users started the treatment with ADs other than metformin, in contrast to guideline recommendations. Among 151,711 incident AD treatments, the male to female ratio was 1.0 and the median age was 66 (57–75) years. More than half (55.0%) of incident treatments discontinued the therapy during the first year of treatment. In Italy, general practitioners (GPs) can only prescribe first-generation ADs, while the prescription of more recently marketed ADs, such as GLP-1RA, DPP4i and SGLT2i, is restricted to diabetologists only, based on a therapeutic plan. The role of GPs in the management of T2DM in Italy should be re-evaluated.

Initial Therapy, Regimen Change, and Persistence in a Spanish Cohort of Newly Treated Type 2 Diabetes Patients: A Retrospective, Observational Study Using Real-World Data

The World Health Organization considers the non-adherence to medication a significant issue with global impact, especially in chronic conditions such as type 2 diabetes. We aim to study antidiabetic treatment initiation, add-on, treatment switching, and medication persistence. We conducted an observational study on 4247 individuals initiating antidiabetic treatment between 2013 and 2014 in the EpiChron Cohort (Spain). We used Cox regression models to estimate the likelihood of non-persistence after a one-year follow-up, expressed as hazard ratios (HRs). Metformin was the most frequently used first-line antidiabetic (80% of cases); combination treatment was the second most common treatment in adults aged 40–79 years, while dipeptidyl peptidase-4 inhibitors were the second most common in individuals in their 80s and over, and in patients with renal disease. Individuals initiated on metformin were less likely to present addition and switching events compared with any other antidiabetic. Almost 70% of individuals initiated on monotherapy were persistent. Subjects aged 40 and over (HR 0.53–0.63), living in rural (HR 0.79) or more deprived areas (HR 0.77–0.82), or receiving polypharmacy (HR 0.84), were less likely to show discontinuation. Our findings could help identify the population at risk of discontinuation, and offer them closer monitoring for proper integrated management to improve prognosis and health outcomes.

Adherence to metformin monotherapy in people with type 2 diabetes mellitus in New Zealand

AIM

To describe adherence to metformin monotherapy in New Zealanders with type 2 diabetes mellitus (T2DM) initiating pharmacological treatment for the first time.

METHODS

We created a cohort of all New Zealanders with T2DM commencing metformin monotherapy between 1 January 2006 and 30 September 2014 using national data collections and followed them until the end of 2015. We obtained data on person- and health-related characteristics at metformin initiation from these collections and calculated medication possession ratios from pharmacy dispensing data. Regression modelling was used to assess changes in adherence over time.

RESULTS

We identified 85,066 people with T2DM who initiated metformin monotherapy. Lower adherence to metformin monotherapy was associated with time since initiating metformin, younger age and being of Māori or Pacific ethnicity. Higher adherence was associated with receiving more non-diabetic medications, a history of CVD and recent cancer registration.

CONCLUSIONS

Our findings are consistent with international literature and highlight groups of people who experience poor adherence over time. Understanding the drivers of lower adherence in Māori and Pacific peoples is a particular priority given the high prevalence of T2DM in these populations.

Treatment Patterns of Diabetes in Italy: A Population-Based Study

Background: The steady increase in type 2 diabetes prevalence and the availability of new antidiabetic drugs (AD) have risen the use of these drugs with a change in the patterns of specific drug utilization. The complexity of this treatment is due to successive treatment initiation, switching and addition in order to maintain glycaemic control. The aim of this study was to describe the utilization patterns of ADs at initiation, treatment addition, and switching profiles and to measure factors influencing persistence to therapy.

Methods: Retrospective observational study. Data were retrieved from the Campania Regional Database for Medication Consumption. Population consisted of patients receiving at least one prescription of ADs between January 1 and December 31, 2016. We calculated time to treatment switching or add-on as median number of days and interquartile range (IQR). Persistence rates were estimated using the Kaplan–Meier method. We used Cox regression models to estimate the likelihood of non-persistence over 1 year of follow-up. Hazard ratios and 95% confidence intervals were calculated.

Results: Of 14,679 patients, 86.9% started with monotherapy and 13.1% with combination therapy. Most common initial treatment was metformin in both monotherapy and combination therapy. First-line prescription of sulfonylurea was observed in 6.9% of patients aged 60–79 years and in 10.8% of patients aged ≥80 years. Patients starting with metformin showed fewer treatment modifications (10.4%) compared to patients initiating with sulfonylureas (35.2%). Newer ADs were utilized during treatment progression. Patients who initiated with sulfonylurea were approximately 70% more likely to discontinue treatment compared to those initiated on metformin. Oldest age group (≥80 years) was more likely to be non-persistent, and likelihood of non-persistence was highest in polymedicated patients. Patients changing therapy were more likely to be persistent.

Conclusions: Our results show that treatment of T2D in Italy is consistent with clinical guidelines. Even if newer ADs were utilized during disease progression, they seem not to be preferred in patients with a higher comorbidity score, although these patients could benefit from this kind of treatment. Our study highlights patients’ characteristics that might help identify those who would benefit from counselling from their health-care practitioner on better AD usage.

Durability of initial antidiabetic monotherapy and subsequent treatment adjustment patterns among newly treated type 2 diabetes patients

BACKGROUND

As newly available antidiabetic drugs (ADs) are used more commonly as initial hypoglycemic choice for early stage diabetes patients, there is an urgent need to investigate how these agents may differ in treatment durability relative to metformin. This study aimed to investigate the incidence and risk of treatment adjustment among newly treated type 2 diabetes mellitus (T2DM) patients receiving an oral AD as initial monotherapy.

METHODS

T2DM patients registered in the National Health Insurance Program who were newly prescribed an oral AD were identified. Time to treatment addition or switch to alternative antidiabetic therapy was determined using the Kaplan-Meier survival analysis. Cox proportional hazards regression was performed to estimate the hazard ratio (HR) after adjusting for potential confounding factors.

RESULTS

The median time to treatment adjustment was shorter for sulfonylureas (SUs), dipeptidyl peptidase-4 (DPP-4) inhibitors, alphaglucosidase (AG) inhibitors, and thiazolidinediones (TZDs) compared to that for metformin. Initiation of therapy with SUs or DPP-4 inhibitors was associated with a significantly higher risk of both treatment addition and switching than with metformin (HR 1.49 versus 1.47 for overall treatment adjustment, respectively). In contrast, among incident users of AG inhibitors or TZDs, only the hazard of switch was substantially increased compared to metformin starters (6.19, 95% confidence interval [CI] 5.77-6.64 and 7.31, 95% CI 6.35-8.42, respectively). When addition and switch events were collectively assessed, the risk of treatment adjustment was significantly elevated in all non-metformin cohorts.

CONCLUSION

Our results demonstrated that the durability of metformin as an initial monotherapy was superior to that of other ADs, including newer classes of antidiabetics, and appeared to be more effective in delaying treatment adjustment in real-world clinical practice.

Interrogation of a longitudinal, national pharmacy claims dataset to explore factors that predict the need for add-on therapy in older and socioeconomically disadvantaged Australians with type 2 diabetes mellitus patients (T2DM)

PURPOSE

The management of type 2 diabetes mellitus (T2DM) is complex. The aim of this work is to explore factors that predict the need for add-on therapy in patients with T2DM in the community.

METHODS

We accessed longitudinal, pharmacy payment claim records from the national Pharmaceutical Benefits Scheme (PBS) (Subsidises costs of medicines: government pays difference between patient co-payments, lower in concessional patients, and additional cost of drug.) for the period January 2006 to September 2014 (EREC/MI3127) from a 10% random sample of the Australian population validated to be representative of the population by the Australian Bureau of Statistics (ABS). Likely, T2DM patients were identified as those having been dispensed a single anti-hyperglycaemic drug (monotherapy). The time taken and possible factors that might lead to the addition of a second therapy were examined. An examination was made of trends in the co-prescription of either antihypertensive or anti-hyperlipidaemic agents in relation to the time (± 3 years) of initiating an anti-hyperglycaemic agent.

RESULTS

Most (83%) presumed T2DM patients were initiated with metformin. The average time until the second agent was added was 4.8 years (95% CI 4.7-4.9). Satisfactory adherence, age, male gender, initiating therapy after 2012 and initiating with a sulphonylurea drug all were significant risks for add-on therapy. There was no overall trend in the initiation of antihypertensive and/or anti-hyperlipidaemic agents with respect to the time of anti-hyperglycaemic initiation.

CONCLUSION

The usefulness of a longitudinal dataset of pharmacy-claim records is demonstrated. Over half of all older and socioeconmically disadvantaged T2DM patients captured in this longitudinal claims database will be prescribed a second anti-hyperglycaemic agent within 5 years of their first drug therapy. Several factors can predict the risk of prescription of add-on therapy, and these should be considered when prescribing medications to treat T2DM.

Pharmacoepidemiology resources in Ireland-an introduction to pharmacy claims data

Introduction

Administrative health data, such as pharmacy claims data, present a valuable resource for conducting pharmacoepidemiological and health services research. Often, data are available for whole populations allowing population level analyses. Moreover, their routine collection ensures that the data reflect health care utilisation in the real-world setting compared to data collected in clinical trials.

Setting and methods

The Irish Health Service Executive-Primary Care Reimbursement Service (HSE-PCRS) community pharmacy claims database is described. The availability of demographic variables and drug-related information is discussed. The strengths and limitations associated using this database for conducting research are presented, in particular, internal and external validity. Examples of recently conducted research using the HSE-PCRS pharmacy claims database are used to illustrate the breadth of its use.

Results and conclusions

The HSE-PCRS national pharmacy claims database is a large, high-quality, valid and accurate data source for measuring drug exposure in specific populations in Ireland. The main limitation is the lack of generalisability for those aged <70 years and the lack of information on indication or outcome.

Comparative adherence to diabetes drugs: An analysis of electronic health records and claims data

Non-adherence to medications is a major challenge in diabetes care. The objective of this brief report is to compare adherence rates for 6 major classes of diabetes medications: metformin, sulfonylurea, thiazolidinedione, basal insulin, DPP-4 inhibitors, and GLP-1 receptor agonists. We used a data source that linked electronic prescriptions with insurance claims to assess whether new electronic prescriptions for diabetes medications were followed by dispensing claims consistent with that prescription. After one year of follow-up, the daily medication possession probability (MPP) - a measure of overall adherence - at one year for sulfonylurea was 0.49 and for metformin was 0.46. Thiazolidinediones and basal insulin had a similar final daily MPP at 0.36 and 0.39, respectively, which was significantly lower than that for sulfonylurea or metformin (P < .05). GLP-1 receptor agonists and DPP-4 inhibitors were also comparable to one another at a final daily MPP of .30 and .21, respectively (P < .05 compared to any of the aforementioned drug classes). In summary, the rates at which diabetes drugs are prescribed, and the rates at which patients actually take them, differ substantially. Physicians should be aware of potentially significant challenges concerning adherence to newer agents.

Adherence and persistence in patients with type 2 diabetes mellitus newly initiating canagliflozin, dapagliflozin, dpp-4s, or glp-1s in the United States

OBJECTIVE

Sodium-glucose co-transporter 2 inhibitors were first approved in the US in 2013; therefore, real-world (RW) studies describing outcomes are limited. This retrospective study evaluated adherence and persistence among patients initiating canagliflozin (CANA), dapagliflozin (DAPA), GLP-1 agonists (GLP-1s), and DPP-4 inhibitors (DPP-4s) over a 12-month follow-up from a US managed care perspective.

METHODS

Patients newly initiating CANA, DAPA, GLP-1s, or DPP-4s from February 1, 2014-June 30, 2014 were identified from the QuintilesIMS PharMetrics Plus Database. The first fill defined the index date/drug. Patients were required to have a T2DM diagnosis (ICD-9-CM 250.x[0,2]) and ≥12 months of continuous enrollment pre- and post-index (follow-up). Main outcome measures were adherence (proportion of days covered, PDC; medication possession ratio, MPR) and persistence on index therapy. PDC or MPR ≥0.80 was considered adherent. Patients were considered persistent until evidence of discontinuation (gap ≥90 days between two subsequent index therapy prescriptions). Kaplan-Meier (KM) analysis assessed time to discontinuation, while a Cox proportional hazards model (PHM) evaluated risk of discontinuation. Logistic regression models evaluated the likelihood of non-adherence.

RESULTS

The final sample consisted of 23,702 patients (6,546 CANA, 3,087 DAPA, 6,273 GLP-1s, and 7,796 DPP-4s; 56% male, and mean [SD] age = 55 [9.1] years). Mean PDC ranged from 0.56 (GLP-1), to 0.71 (CANA), with 33-56% adherent, respectively; MPR results were similar. Fifty-two per cent (GLP-1) to 68% (CANA) were persistent over the follow-up. CANA patients had the longest time to discontinuation. In regression analyses, compared to CANA 100 mg, DAPA, DPP-4, and GLP-1 patients had a significantly higher likelihood of non-adherence and a significantly higher risk of discontinuation. CANA 300 mg patients had a significantly lower likelihood of non-adherence and a significantly lower risk of discontinuation compared to CANA 100 mg.

CONCLUSIONS

Adherence and persistence were significantly better with CANA (100 mg and 300 mg) compared to DAPA, GLP-1s, and DPP-4s in the RW setting.

Comparing Medication Adherence and Persistence Among Patients with Type 2 Diabetes Using Sodium-Glucose Cotransporter 2 Inhibitors or Sulfonylureas

BACKGROUND

Patients with type 2 diabetes treated with pharmacotherapy should be adherent to and persistent with their medications to experience glycemic control and prevent associated complications.

OBJECTIVE

To compare medication adherence and persistence among patients with type 2 diabetes who are newly initiating a sodium-glucose cotransporter 2 (SGLT-2) inhibitor or a sulfonylurea.

METHODS

This was a retrospective, observational cohort study using the MarketScan claims databases. The patients who were selected for the study had newly initiated treatment with an SGLT-2 inhibitor or a sulfonylurea between January 1, 2015, and December 31, 2015 (index date; class of earliest medication is defined as the index class); were aged ≥18 years on the index date; were continuously enrolled with health insurance for 12 months before and 6 months after (ie, follow-up) the index date; and had ≥1 baseline diagnoses of type 2 diabetes. Study exclusions were type 1 diabetes, pregnancy, and gestational diabetes. Medication adherence was measured by the proportion of days covered (PDC) with the index class during the follow-up period and dichotomized as adherent (PDC ≥80%) or nonadherent. Persistence was defined as the number of days from the index date until a >60-day continuous gap in days without the index drug class (ie, discontinuation) or the end of follow-up. A propensity score model was used to match patients receiving an SGLT-2 inhibitor to patients receiving a sulfonylurea in a 1:1 ratio based on patient characteristics. Logistic (ie, adherence) and Cox (ie, persistence) regression models were fit to the matched samples.

RESULTS

Initially, the study included 17,724 patients who received an SGLT-2 inhibitor and 25,490 patients who received a sulfonylurea. After propensity score matching, 13,657 patients remained in each cohort. Compared with patients receiving a sulfonylurea, a statistically significantly greater percentage of patients receiving an SGLT-2 inhibitor were adherent to therapy (61.4% vs 53.9%, respectively; odds ratio of adherence, 1.364; 95% confidence interval [CI], 1.30-1.43; P <.001) and persistent (76.1% vs 68.9%, respectively; hazard ratio of discontinuation, 0.746; 95% CI, 0.71-0.78; P <.001).

CONCLUSION

Maintaining adherence to and persistence with antidiabetes medication is vital to glycemic control among patients with type 2 diabetes. In this real-world study, patients who newly initiated treatment with SGLT-2 inhibitors were more likely to adhere to treatment and persist with the initiated therapy than similar patients who newly initiated treatment with sulfonylureas.

Glucagon-Like Peptide-1 Receptor Agonist Treatment Attributes Important to Injection-Experienced Patients with Type 2 Diabetes Mellitus: A Preference Study in Germany and the United Kingdom

INTRODUCTION

This study assessed the relative importance of treatment-related attributes in influencing patient preferences for glucagon-like peptide-1 receptor agonists (GLP-1RAs) among injection-experienced type 2 diabetes mellitus (T2DM) patients in Germany and the United Kingdom.

METHODS

T2DM patients experienced with injecting once-weekly (QW) exenatide or once-daily (QD) liraglutide completed an online discrete-choice experiment (DCE) survey. Patients chose between hypothetical blinded treatment profiles reflecting attributes of GLP-1RAs. The DCE survey included eight attributes: efficacy, side effects, device size, needle size, titration, injection preparation, long-term efficacy/safety, and dosing frequency. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a conditional logit model indicating the likelihood of choosing a treatment with a given attribute level versus a reference attribute level.

RESULTS

510 GLP-1RA injection-experienced patients completed the survey; 45.3% respondents were being treated with exenatide QW and 54.7% respondents were being treated with liraglutide QD. In terms of GLP-1RA attributes, patients indicated a preference for a treatment with greater efficacy (i.e., a 1.5-point improvement in HbA1c) (OR 2.58; 95% CI 2.37, 2.80; p < 0.001), fewer side effects (OR 2.67; 95% CI 2.52, 2.82; p < 0.001), once-weekly rather than once-daily administration (OR 2.26; 95% CI 2.13, 2.39; p < 0.001), and the preparation required for a multi-use pen (OR 1.71; 95% CI 1.55, 1.88; p < 0.001). Needle size, device size, and titration were not significant drivers of patient preference.

CONCLUSIONS

Among GLP-1RA injection-experienced patients, key drivers of treatment preference for a hypothetical GLP-RA profile were side effects, efficacy, dosing frequency, and required preparation. Understanding patient preferences is important for optimizing treatment decision-making and improving treatment adherence.

FUNDING

AstraZeneca.

Use of cardiovascular medicines in newly treated type 2 diabetes patients: A retrospective cohort study in general practice

AIMS

To describe the drug utilisation patterns of aspirin, antihypertensives, vasodilators, and statins in a cohort of newly treated type 2 diabetes subjects previously unexposed to CVD agents.

METHODS

A population-based retrospective cohort study was conducted using a national pharmacy claims database of newly treated type 2 diabetes subjects aged 40 years or older. Data on the use of aspirin, antihypertensives, vasodilators, and statins 1 year after antidiabetic agent initiation were analysed. Poisson regression with a robust error variance was used to estimate adjusted relative risk (RRadj) and 95% CIs between socio-demographic and treatment factors on CVD agent use.

RESULTS

Over a 2-year period (2008-2009), 6093 subjects were identified. One year after antidiabetic agent initiation, 82% of the study population received at least one CVD agent, with 54% receiving aspirin, 64% receiving antihypertensives, 6% vasodilators, and 62% receiving statins. Subjects aged 40-49 years were significantly less likely than those aged 60-69 years to receive CVD agents (RRadj 0.83, 95% CI 0.80-0.87). Over 40% of subjects received antihypertensives without aspirin and statins, while 30% of subjects on statins did not receive aspirin.

CONCLUSIONS

Substantial CVD agent utilisation was noted 1 year after antidiabetic agent initiation. Being aged younger than 60-69 years was associated with decreased utilisation of CVD agents.

Association Between Severe Hypoglycemia and Cardiovascular Disease Risk in Japanese Patients With Type 2 Diabetes

Background

It remains unclear whether severe hypoglycemia is associated with cardiovascular disease (CVD) in Asian populations with type 2 diabetes (T2D). Furthermore, no study in Japan, where the prescription patterns differ from those in other countries, has examined this association.

Methods and Results

We retrospectively included 58 223 patients (18–74 years old) with T2D. First, we examined the potential predictors of severe hypoglycemia. Then, we investigated the association between severe hypoglycemia and CVD risk. Finally, we performed an updated systematic review and meta‐analysis to incorporate our findings and recently published studies into the previous systematic review and meta‐analysis. During 134 597 person‐years from cumulative observation periods, 128 persons experienced severe hypoglycemia and 550 developed CVD events. In a multivariate Cox proportional hazard model, severe hypoglycemia was strongly and positively associated with the risk of CVD (multivariate‐adjusted adjusted hazard ratio, 3.39; 95% CI, 1.25–9.18). In a propensity score–matched cohort that had similar baseline characteristics for patients with severe hypoglycemia and those without, severe hypoglycemia was more strongly associated with the risk of CVD. An updated systematic review and meta‐analysis that included 10 studies found that severe hypoglycemia was associated with an ≈2‐fold increased risk of CVD (pooled relative risk, 1.91; 95% CI, 1.69–2.15).

Conclusions

Our results suggest that severe hypoglycemia is strongly associated with an increased risk of CVD in Japanese patients with T2D, further supporting the notion that avoiding severe hypoglycemia may be important in preventing CVD in this patient population.

Non-Persistence and Non-Adherence of Patients with Type 2 Diabetes Mellitus in Therapy with GLP-1 Receptor Agonists: A Retrospective Analysis

INTRODUCTION

Our main aim was to assess the level of persistence and adherence to therapy with glucagon-like peptide-1 (GLP-1) receptor agonists in type 2 diabetes mellitus (T2DM) patients in the United Kingdom (UK) and Germany, also by comparing once- (OD) with twice-a-day (BID) therapy.

METHODS

We used two large retrospective datasets: a German claims dataset and the UK General Practitioner (GP)-based Clinical Practice Research Datalink (CPRD) dataset (2010-2012). All continuously insured T2DM patients with at least one outpatient/inpatient T2DM diagnosis were observed starting with the first prescription of a GLP-1 receptor agonist. Non-persistence (NP) was defined as treatment gap >90 days. Non-adherence (NA) was defined as medication possession ratio <80%, calculated during a period in which a patient continued therapy (no treatment gap >90 days) only.

RESULTS

In the UK sample, 1905 T2DM patients started a treatment with GLP-1 receptor agonists (mean age: 55.5 years, 47.2% female). In the German sample, 1627 T2DM patients started a treatment with GLP-1 receptor agonists (mean age: 56.6 years, 51.4% female). Percentage of NP patients after 12 months was 29.5% in the UK and 36.4% in the German sample. In both countries, a BID treatment was associated with a higher probability to discontinue a treatment with GLP-1 receptor agonists earlier than an OD treatment (hazard ratio [HR] = 1.431 in UK and HR = 1.314 in Germany). The percentages of patients considered NA were 20.2%/20.0%/20.5% (all/OD/BID) for the UK sample, and 19.9%/19.2%/21.8% (all/OD/BID) for the German sample.

CONCLUSION

NP and NA to treatment with GLP-1 receptor agonists in both UK and Germany appear to be similar. Persistence to OD treatment is higher than to BID treatment in both the UK and Germany.

The impact of initial antidiabetic agent and use of monitoring agents on prescription costs in newly treated type 2 diabetes: A retrospective cohort analysis

AIMS

To measure the costs associated with the use of antidiabetic agents, monitoring materials and cardiovascular disease (CVD) agents in the management of newly treated type 2 diabetes, and to investigate the factors associated with these costs.

METHODS

A population-based retrospective cohort study was conducted using the Irish national pharmacy claims database. Newly treated patients were identified for 2012 and followed for one year post treatment initiation. Factors associated with costs were assessed using a generalised linear model with gamma family and log-link function. Cost ratios (CR) and 95% CIs were used to determine the contributors of prescription costs. Adjusted odd ratios (OR) and 95% CIs were used to investigate factors associated with high frequency self-monitoring of blood glucose (SMBG).

RESULTS

Mean prescription costs for the 12,941 subjects was €871, while total costs were €11 million. CVD agents accounted for 58% of total costs; 22% of costs were for SMBG; antidiabetic agents accounted for 17% of costs. SMBG resulted in costs that were 80% higher than those without, CR 1.80 (95% CI 1.76-1.84). No significant differences were observed between initiation on metformin or sulphonylureas and high frequency SMBG (OR 1.01 95% CI 0.97-1.04 vs reference). Initiation on newer antidiabetic agents was a significant positive predictors of prescription costs (CR 2.36 95% CI 2.21-2.51 vs metformin).

CONCLUSIONS

Type of initial antidiabetic agent, and SMBG were significant predictors of prescription costs. SMBG represent a major proportion of total costs; however, its use in combination with antidiabetic agents that do not cause hypoglycaemia is questionable.