Healthcare costs associated with change in body mass index in patients with type 2 diabetes mellitus in Spain: the ECOBIM study

Evaluating the Pharmacoeconomic Impact of Nutrient Supplementation Post-operatively on Patients Receiving Roux-Y Gastric Bypass vs. Biliopancreatic Diversion with Duodenal Switch

Background

Without the needed medical support, bariatric surgery can be associated with post-operative malnutrition and associated nutrient deficiencies. We aimed to evaluate the cost difference of perioperative infusion requirements and TPN between GBP and BPD-DS.

Methods

All patients undergoing GBP or BPD-DS procedures between August 2015 and June 2018 were included. Information was collected to standardize the nutritional information into two categories: (1) oral supplementation and standard intravenous infusions, as predicted costs forming part of preoperative quote and (2) infusions prescribed for malnutrition, based on blood biochemistry, caterized as unexpected costs.

Results

A total of 573 patients over 3 years (GBP 60%, BPD-DS 40%) were included in the analysis. The average predicted costs from oral supplementation for both surgery groups and prophylactic infusions for BPD-DS were GBP (46.90USD) vs. BPD-DS (154.13 USD) (p-value = NS). Unexpected costs for infusions to correct nutritional deficiencies were GBP (199.14 USD) vs. BPD-DS (127.29 USD) (p-value = NS). TPN incidence rate was GBP (2.1%) and BPD-DS (12.7%) (p-value < 0.001) and admission rate per patient was GBP (0.9) and BPD-DS (0.63) (p-value < 0.05). Costs for acquiring TPN were GBP (153.58 USD) vs. BPD-DS (268.76 USD). Total unexpected costs were GBP (352.72 USD) vs. BPD-DS (396.05 USD) (p-value = NS).

Conclusion

Nutrient deficiencies are known to occur within both GBP and BPD-DS surgeries, even up to 3 years. The admission rate/patient, requiring TPN, was higher in the GBP group, indicating that BPD-DS surgery can be efficient and cost-effective with holistic and multitherapeutic post-surgery care. BPD-DS procedures should be reserved for centers with a comprehensive and experienced multidisciplinary team enforcing stringent follow-up regimes.

Impact of Body Mass Index on Static Postural Control in Adults With and Without Diabetes: A Cross-Sectional Study

AIM

The objective of this research was to determine the static postural control differences measured from a force platform in Type 2 diabetes mellitus (T2DM) and healthy control groups with different levels of body mass index (BMI), and detect the static postural control difference between T2DM and healthy control groups stratified by different BMI category. This research also explored the relationship of BMI and static postural performance.

METHODS

We recruited 706 participants with T2DM and 692 healthy controls who were sufficiently matched for age, gender, and BMI in this cross-sectional study. The participants were stratified into three groups by BMI: normal weight, overweight, and obesity. All participants performed two-legged static stance postural control assessment on a firm force platform. The Center of Pressure (CoP) parameters were collected under eyes-open and eyes-closed conditions. Mann-Whitney U test was used to compare the static postural control parameters within each BMI category in both groups. The static postural control parameters among different weight groups were compared by Kruskal-Wallis test, post hoc pair-wise comparison were conducted. Generalized linear model was conducted to examine the association between BMI and static postural control parameters while controlling for confounding factors.

RESULTS

Healthy control group had statistical difference in most CoP parameters compared to T2DM group based on all BMI categories. Normal weight participants presented significant difference compared with overweight and/or obesity for total track length (TTL) and velocity of CoP displacements in Y direction (V-Y) under eyes-open condition, and for most CoP parameters under eyes-closed condition in both groups. There were statistically significant correlations between BMI and most static postural control parameters under only eyes-closed condition according to the result of generalized linear model.

CONCLUSION

T2DM patients had impaired static postural control performance compared to healthy controls at all BMI categories. The findings also indicated the association between BMI and static postural control, where higher BMI individuals showed more static postural instability in both T2DM and healthy controls.

Resource use and costs in patients with poorly controlled type 2 diabetes mellitus and obesity in routine clinical practice in Spain

OBJECTIVE

To compare healthcare resource use (HRU) and annual costs in type 2 diabetes mellitus (T2DM) patients with poor glycaemic control and obesity versus good glycaemic control without obesity.

METHODS

Observational retrospective study based on the analysis of electronic medical records from the BIG-PAC database, with one year of follow-up. T2DM patients aged ≥30 years who requested medical care during 2013 were included. Annual HRU and costs per patient were compared between a reference group (HbA1c ≥ 8%, BMI ≥30 kg/m², receiving ≥2 oral antidiabetic drugs [OADs]) and a control group (HbA1c < 7% and BMI <30 kg/m²). Direct and indirect costs (lost productivity) were analysed. Cost comparisons across groups were made using the analysis of covariance (ANCOVA) for each cost component, with age, sex, time from diagnosis, Charlson comorbidity index, OAD number and sex by group interaction as covariates.

RESULTS

During the follow-up, patients in the reference group (N = 2709) had a greater HRU than those in the control group (N = 5266), especially in the number of primary care (PC) visits (11.8 vs. 9.8; 95%CI: 11.5-12.1 vs. 9.6-10.0) and days of hospitalization (1.1 vs 0.6; 95%CI: 1.0-1.2 vs. 0.5-0.7). The main components of the total cost were hospital admissions (24.5%), productivity losses (16.3%), complementary tests (14.4%), PC visits (14.2%) and medication (13.6%) in the reference group and medication (19.6%), hospital admissions (18.7%) and PC visits (18.2%) in the control group. The corrected mean annual cost per patient was higher in the reference than in the control group: €1804 vs. €1309; p < .001.

CONCLUSIONS

Poor glycaemic control and obesity in T2DM patients were associated with increased HRU and costs in routine clinical practice.

Clinical Inertia in Poorly Controlled Type 2 Diabetes Mellitus Patients with Obesity: An Observational Retrospective Study

INTRODUCTION

To evaluate clinical inertia in patients with type 2 diabetes mellitus (T2DM), obesity and poor glycaemic control in routine clinical practice.

METHODS

This was a retrospective, observational study based on the analysis of medical records from the BIG-PAC® database. Subjects who required medical care in 2013 with the following characteristics were enrolled in the study: age ≥ 30 years, diagnosis of T2DM, glycosylated haemoglobin (HbA1c) ≥ 8%, obesity (body mass index [BMI] ≥ 30 kg/m²) and treatment with ≥ 2 oral antidiabetic drugs (OADs). Inertia was evaluated by time (days) to the first intensification during the period while HbA1c levels were ≥ 8% and percentage of patients whose treatment was not intensified at 6 months, 1, 2 and 3 years and the end of follow-up. The minimum length of follow-up was 4 years. Descriptive analyses and Kaplan-Meier survival curves were performed.

RESULTS

A total of 13,824 patients with T2DM receiving ≥ 2 OADs were identified; of these 2709 (19.6%) had HbA1c ≥ 8% and BMI ≥ 30 kg/m², thus fulfilling the inclusion criteria. Of these 2709 patients, the mean age was 65.5 (standard deviation [SD] 12.0) years; 54.9% were male, mean HbA1c level was 9.2% (SD 1.3%); mean BMI was 32.1 (SD 0.9) kg/m²; and mean time from diagnosis was 8.2 (SD 3.0) years. HbA1c remained ≥ 8% for a median of 440 (95% confidence interval [CI] 421-459) days. The median time to first intensification was 456 (95% CI 429-483) days. No intensification had occurred in 77.8, 59.5, 41.5, 28.1 and 22.4% of patients at 6 months, 1, 2, 3 years and the end of follow-up, respectively.

CONCLUSIONS

The patients with T2DM analysed in this study had a mean HbA1c of 9.2% at baseline, and this remained at ≥ 8% for > 1 year. The time to the first treatment intensification was longer than that recommended by guidelines. Treatment was not intensified in a large percentage of patients, with almost 60% of patients not receiving intensification at 1 year of follow-up.

Effect of Tai Chi on Quality of Life, Body Mass Index, and Waist-Hip Ratio in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a worldwide public health concern with high morbidity and various progressive diabetes complications that result in serious economic expenditure and social burden. This systematic review aims to evaluate the effect of Tai Chi on improving quality of life (QoL), body mass index (BMI) and waist-hip ratio (WHR) in patients with T2DM.

METHOD

A systematic review and meta-analysis was performed following PRISMA recommendation. Four English databases and three Chinese databases were searched. The PEDro scale was used to assess the methodological quality of including studies. Study inclusion criteria: randomized controlled trials (RCTs) and quasi-experimental studies were included, patients with T2DM that adopted Tai Chi as intervention and QoL, BMI and/or WHR as outcome measurements.

RESULTS

Eighteen trials were included. The aggregated results of seven trials showed that Tai Chi statistically significantly improved QoL measured by the SF-36 on every domains (physical function: MD = 7.73, 95% confidence interval (CI) = 1.76 to 13.71, p = 0.01; role-physical function: MD = 9.76, 95% CI = 6.05 to 13.47, p < 0.001; body pain: MD = 8.49, 95% CI = 1.18 to 15.8, p = 0.02; general health: MD = 9.80, 95% CI = 5.77 to 13.82, p < 0.001; vitality: MD = 6.70, 95% CI = 0.45 to 12.94, p = 0.04; social function: MD = 9.1, 95% CI = 4.75 to 13.45, p < 0.001; role-emotional function: MD = 7.88, 95% CI = 4.03 to 11.72, p < 0.001; mental health: MD = 5.62, 95% CI = 1.57 to 9.67, p = 0.006) and BMI (MD = -1.53, 95% CI = -2.71 to -0.36, p < 0.001) compared with control group (wait list; no intervention; usual care; sham exercise).

CONCLUSION

Tai Chi could improve QoL and decrease BMI for patients with T2DM, more studies are needed to be conducted in accordance with suggestions mentioned in this review.

Effect of Weight Change on Economic Outcomes Among Persons with Type 2 Diabetes Mellitus in the United States: Beyond Glycemic Control

BACKGROUND

Previous studies report weight loss to be associated with significantly lower total health care costs among patients with type 2 diabetes mellitus (T2DM). The effect of weight change on health care costs, independent of glycemic control and after controlling for time-varying covariates among T2DM patients, remains unknown.

OBJECTIVE

To evaluate the effect of weight change, independent of glycemic control, on all-cause and T2DM-related health care resource utilization (HCRU) and costs among T2DM patients in the United States.

METHODS

A retrospective cohort study was conducted using a linked data extract composed of IQVIA's RWI Data Adjudicated Claims-US and Ambulatory Electronic Medical Record data. Adults (aged ≥ 18 years) with T2DM receiving ≥ 1 oral antidiabetic drug (OAD) medication, glucagon-like peptide-1 receptor agonist (GLP-1RA), and/or short- or long-acting insulin between January 1, 2010, and December 31, 2014 were included (the date of the first observed medical claim with a diagnosis code or medication prescription claim was the index date). Baseline characteristics were evaluated in the 6-month pre-index period. Weight loss (3%, 5%, or 7% from baseline) was evaluated over two 6-month periods (months 1-6 and 7-12) following the index date. Covariates included time-varying weight, hemoglobin A1c (A1c), costs, and HCRU within each 6-month period. Outcomes of interest (all-cause and T2DM-related HCRU and costs) were evaluated in the 6-month (months 13-18) and 12-month (months 13-24) periods following the initial 1- to 6-month and 7- to 12-month post-index periods. Structural nested mean models were used to evaluate the effect of weight change on these outcomes, independent of glycemic control.

RESULTS

1,407 patients were included (mean age = 55 years; 55% male), with a mean baseline weight of 102.2 kg (median = 99.7 kg) and a mean baseline A1c of 7.4% (median = 6.9%). In adjusted analysis, weight loss was associated with significantly lower all-cause and T2DM-related annual total health care costs. Compared with those showing no weight change, a 3%, 5%, and 7% weight loss resulted in approximately $500, $800, and $1,100 in savings, respectively, in all-cause annual total health care costs per patient in the year following the weight loss. Similarly, compared with those with no weight change, a 3%, 5%, and 7% weight loss resulted in approximately $200, $300, and $400 in savings, respectively, in T2DM-related annual total health care costs per patient in the following year. Even greater savings (up to ~$2,000 and ~$800 in all-cause and T2DM-related annual costs per patient, respectively) were experienced by those who lost weight compared with those who gained weight.

CONCLUSIONS

After accounting for glycemic control, this study found that weight loss was associated with additional significant reductions in all-cause and T2DM-related annual total health care costs. Understanding the role of weight loss in T2DM may provide useful evidence for decision makers as they evaluate therapy options for T2DM.

DISCLOSURES

This study was funded by Novo Nordisk. Dang-Tan, Smolarz, and Iyer are employees of Novo Nordisk. Karkare and DeKoven (employees of IQVIA) and Fridman (employed by AMF Consulting) were contracted by Novo Nordisk to conduct this study. Fridman also reports personal fees from Shire, GSK, and CSL Behring, outside of the submitted work. Lu, an employee of IQVIA, accessed the database and conducted the statistical analysis for this study.

Electronic Health Lifestyle Coaching Among Diabetes Patients in a Real-Life Municipality Setting: Observational Study

Background

Internet and mobile interventions aiming to promote healthy lifestyle have attracted much attention because of their scalability and accessibility, low costs, privacy and user control, potential for use in real-life settings, as well as opportunities for real-time modifications and interactive advices. A real-life electronic health (eHealth) lifestyle coaching intervention was implemented in 8 Danish municipalities between summer 2016 and summer 2018.

Objective

The aim of this study was to assess the effects associated with the eHealth intervention among diabetes patients in a real-life municipal setting. The eHealth intervention is based on an initial meeting, establishing a strong empathic relationship, followed by digital lifestyle coaching and collaboration supported by a Web-based community among patients.

Methods

We conducted an observational study examining the effect of an eHealth intervention on self-reported weight change among 103 obese diabetes patients in a real-life municipal setting. The patients in the study participated in the eHealth intervention between 3 and 12 months. A weight change was observed at 6, 9, and 12 months. We used regression methods to estimate the impacts of the intervention on weight change.

Results

We found that the eHealth intervention significantly reduced weight among diabetes patients, on average 4.3% of the initial body mass, which corresponds to 4.8 kg over a mean period of 7.3 months. Patients who were in intervention for more than 9 months achieved a weight reduction of 6.3% or 6.8 kg.

Conclusions

This study brings forward evidence of a positive effect of a real-life eHealth lifestyle intervention on diabetes patients’ lifestyle in a municipal setting. Future research is needed to show if the effect is sustainable from a long-term perspective.

Observational studies with type 2 diabetes mellitus treatments in Spain: A systematic literature review

The aim of this systematic literature review (SLR) was to provide an overview of the Spanish research landscape of observational studies conducted with antidiabetic drugs in T2DM patients, published in the last five years, with special focus on the objectives, methodology and main research areas. Twenty-two articles, corresponding to 20 studies, were included in the analysis. Around 82% of the studies employed a longitudinal study design, collected data retrospectively (72.7%), and were based on secondary data use (63.6%). Pharmacotherapeutical groups most frequently studied were insulin (31.8%) and DPP4i (13.6%). Analytic design was employed most in the studies (68.2%), followed by descriptive analysis (22.7%). In the top five of the most studied variables are those related to effectiveness assessed according to glycaemic control (91%), treatment patterns (82%), safety (hypoglycaemia) (59%), the identification of effectiveness predictive factors (45%) and effectiveness according to other control measures such as anthropometric control or cardiovascular risk factors (36%).

Relation between cost of drug treatment and body mass index in people with type 2 diabetes in Latin America

AIMS

Despite the frequent association of obesity with type 2 diabetes (T2D), the effect of the former on the cost of drug treatment of the latest has not been specifically addressed. We studied the association of overweight/obesity on the cost of drug treatment of hyperglycemia, hypertension and dyslipidemia in a population with T2D.

METHODS

This observational study utilized data from the QUALIDIAB database on 3,099 T2D patients seen in Diabetes Centers in Argentina, Chile, Colombia, Peru, and Venezuela. Data were grouped according to body mass index (BMI) as Normal (18.5≤BMI<25), Overweight (25≤BMI<30), and Obese (BMI≥30). Thereafter, we assessed clinical and metabolic data and cost of drug treatment in each category. Statistical analyses included group comparisons for continuous variables (parametric or non-parametric tests), Chi-square tests for differences between proportions, and multivariable regression analysis to assess the association between BMI and monthly cost of drug treatment.

RESULTS

Although all groups showed comparable degree of glycometabolic control (FBG, HbA1c), we found significant differences in other metabolic control indicators. Total cost of drug treatment of hyperglycemia and associated cardiovascular risk factors (CVRF) increased significantly (p<0.001) with increment of BMI. Hyperglycemia treatment cost showed a significant increase concordant with BMI whereas hypertension and dyslipidemia did not. Despite different values and percentages of increase, this growing cost profile was reproduced in every participating country. BMI significantly and independently affected hyperglycemia treatment cost.

CONCLUSIONS

Our study shows for the first time that BMI significantly increases total expenditure on drugs for T2D and its associated CVRF treatment in Latin America.

Weight change patterns and healthcare costs in patients with newly-diagnosed type-2 diabetes in Sweden

AIMS

To describe weight-change pathways in patients with type 2 diabetes (T2D) and associated healthcare costs using repeated BMI measurements and healthcare utilization data.

METHODS

Patients with newly-diagnosed T2D with body mass index (BMI, kg/m²) at diagnosis and subsequent measures at year 1-3 were identified. Based on three-year BMI change, patients were assigned to one of 27 BMI change pathways defined by annual BMI change: BMI↗ (≥1 BMI unit increase), BMI→ (<1 BMI unit change), and BMI↘ (≥1 BMI unit decrease). Mean annual and three-year cumulative healthcare costs were estimated for each pathway by combining Swedish unit costs with resource use from primary care and national patient registers.

RESULTS

Cohort consisted of 15,819 patients; 44% women, mean age of 61 years, HbA1c of 6.7% (50mmol/mol), BMI of 30.6kg/m². Most common BMI pathways (mean costs): BMI→→→ (€5,311), BMI↘→→ (€5,461), and BMI→→↘ (€6,281). General trends: BMI→→→ linked to lowest, BMI↗→↗ linked to highest costs.

CONCLUSION

In patients with newly-diagnosed T2D, weight stability was the most common BMI change pattern over 3 years and associated with lowest healthcare costs. Relationship between weight change and healthcare costs appears complex warranting further investigation.

Association Between Weight Change, Clinical Outcomes, and Health Care Costs in Patients with Type 2 Diabetes

BACKGROUND

Previous research suggests that weight loss is associated with decreases in health care costs among individuals with type 2 diabetes mellitus (T2DM) and that weight change can affect clinical measures, including hemoglobin A1c (A1c), low-density lipoprotein cholesterol (LDLC), and blood pressure. Previous research has also demonstrated more pronounced impact of weight change among patients with T2DM who are obese and have no evidence of cardiovascular disease (CVD).

OBJECTIVES

To (a) examine the association between weight change and all-cause and diabetes-related health care costs among patients with T2DM; (b) examine the association between weight change and select clinical measures among patients with T2DM; and (c) analyze a subgroup of obese patients with no previous CVD.

METHODS

This retrospective, observational cohort study used U.S. insurance claims linked to laboratory and electronic medical records. This study included patients with T2DM aged 18 years or older who added or switched to a nonmetformin antidiabetes medication after metformin monotherapy between January 1, 2007, and June 30, 2012 (date of add/switch was the index date). The primary predictor was percentage weight change (PWC) between a weight measurement at index and a follow-up measurement 6 months later; PWC ranged from negative (weight loss) to positive (weight gain). Outcomes, measured in the 12-month period beginning at the time of follow-up weight measurement, included all-cause and diabetes-related health care costs and achievement of thresholds for A1c, blood pressure, and LDL-C. Multivariable models quantified the association between PWC (linear effect) and study outcomes.

RESULTS

A total of 1,520 patients (mean age 55 years; 47% female) were included, with 780 patients (mean age 53 years; 51% female) in the subgroup sample. Mean (SD) index weight and PWC were 224.6 (52.8) lbs and +0.2% (4.7%) in the primary analysis, and 241.3 (47.3) lbs and -0.2% (4.6%) in the subgroup sample. In adjusted analyses, decreasing PWC was associated with decreasing diabetes-specific pharmacy costs (P < 0.001) in the primary analysis sample and with decreasing all-cause pharmacy costs (P = 0.018), diabetes-specific total costs (P = 0.039), diabetes-specific medical costs (P = 0.002), and diabetes-specific pharmacy costs (P < 0.001) in the subgroup sample. PWC was not associated with all-cause total health care costs or all-cause medical costs in either sample. In adjusted analyses, decreasing PWC was also associated with increasing odds of attaining the A1c goals of < 6.5% (P < 0.001) and < 7.0% (P < 0.001) in the primary analysis sample and increasing odds of attaining the A1c goals of < 6.5% (P < 0.001), < 7.0% (P < 0.001), and < 8.0% (P = 0.010) in the subgroup sample. PWC was not associated with any of the other clinical measures in either of the study samples.

CONCLUSIONS

This real-world study suggests that among patients with T2DM, weight loss over a short-term (6-month) period is associated with positive impact on attainment of A1c goals and decreased diabetes-specific pharmacy costs over the subsequent 12 months. In the subset of patients who were obese and had no previus CVD, weight loss over the 6-month period was also associated with decreased all-cause pharmacy costs, diabetes-specific medical costs, and diabetes-specific total health care costs. Future research is warranted to examine whether these associations change over longer-term periods of follow-up.

DISCLOSURES

This study was sponsored by AstraZeneca and Bristol-Myers Squibb. Truven Health Analytics received funding from Bristol-Myers Squibb and AstraZeneca to conduct this study. Mukherjee is an employee of Bristol-Myers Squibb. Bell and Sternhufvud are employees of AstraZeneca. Johnston, Stott-Miller, and McMorrow are employees of Truven Health Analytics. Nancy Smith is a consultant to Bristol-Myers Squibb and is employed by GreenKey Resources. Study concept was created by Mukherjee, Sternhufvud, Bell, and Johnston. Stott-Miller and McMorrow took the lead in data collection, along with Johnston, with data interpretation performed by Mukherjee, Sternhufvud, Smith, Stott-Miller, and Johnston. The manuscript was written by Mukherjee, Johnston, and Stott-Miller, along with Sternhufvud and Smith, and revised by Mukherjee, Smith, and Johnston, along with Sternhufvud and Stott-Miller.

Increased healthcare utilization costs following initiation of insulin treatment in type 2 diabetes: A long-term follow-up in clinical practice

AIMS

To compare long-term changes in healthcare utilization and costs for type 2 diabetes patients before and after insulin initiation, as well as healthcare costs after insulin versus non-insulin anti-diabetic (NIAD) initiation.

METHODS

Patients newly initiated on insulin (n=2823) were identified in primary health care records from 84 Swedish primary care centers, between 1999 to 2009. First, healthcare costs per patient were evaluated for primary care, hospitalizations and secondary outpatient care, before and up to seven years after insulin initiation. Second, patients prescribed insulin in second line were matched to patients prescribed NIAD in second line, and the healthcare costs of the matched groups were compared.

RESULTS

The total mean annual healthcare cost increased from €1656 per patient 2 years before insulin initiation to €3814 seven years after insulin initiation. The total cumulative mean healthcare cost per patient at year 5 after second-line treatment was €13,823 in the insulin group compared to €9989 in the NIAD group.

CONCLUSIONS

Initiation of insulin in type 2 diabetes patients was followed by increased healthcare costs. The increases in costs were larger than those seen in a matched patient population initiated on NIAD treatment in second-line.

The Burden of Obesity on Diabetes in the United States: Medical Expenditure Panel Survey, 2008 to 2012

BACKGROUND

Diabetes is one of the most prevalent and costly chronic diseases in the United States.

OBJECTIVES

To analyze the risk of developing diabetes and the annual cost of diabetes for a US general population.

METHODS

Data from the Medical Expenditure Panel Survey, 2008 to 2012, were used to analyze 1) probabilities of developing diabetes and 2) annual total health care expenditures for diabetics. The age-, sex-, race-, and body mass index (BMI)-specific risks of developing diabetes were estimated by fitting an exponential survival function to age at first diabetes diagnosis. Annual health care expenditures were estimated using a generalized linear model with log-link and gamma variance function. Complex sampling designs in the Medical Expenditure Panel Survey were adjusted for. All dollar values are presented in 2012 US dollars.

RESULTS

We observed a more than 6 times increase in diabetes risks for class III obese (BMI ≥ 40 kg/m²) individuals compared with normal-weight individuals. Using age 50 years as an example, we found a more than 3 times increase in annual health care expenditures for those with diabetes ($13,581) compared with those without diabetes ($3,954). Compared with normal-weight (18.5 ≤ BMI < 25 kg/m²) individuals, class II obese (35 ≤ BMI < 40 kg/m²) and class III obese (BMI ≥ 40 kg/m²) individuals incurred an annual marginal cost of $628 and $756, respectively. The annual health care expenditure differentials between those with and without diabetes of age 50 years were the highest for individuals with class II ($12,907) and class III ($9,703) obesity.

CONCLUSIONS

This article highlights the importance of obesity on diabetes burden. Our results suggested that obesity, in particular, class II and class III (i.e., BMI ≥ 35 kg/m²) obesity, is associated with a substantial increase in the risk of developing diabetes and imposes a large economic burden.

Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship

Background

Although complications of obesity are well acknowledged and managed by clinicians, management of obesity itself is often difficult, which leads to its underdiagnosis and undertreatment in hospital settings. However, tools that could improve the management of obesity, including self-monitoring, engagement with a social network, and open channels of communication between the patient and doctor, are limited in a clinic-based setting.

Objective

The objective of our study was to evaluate the usability and acceptability of a newly developed mobile app linked with an accelerometer and its early effects on patient-doctor relationships.

Methods

From September 2013 to February 2014, we developed a mobile app linked with an accelerometer as a supportive tool for a clinic-based weight loss program. The app used information from electronic health records and delivered tailored educational material. Personal goal setting, as well as monitoring of weight changes and physical activity combined with feedback, are key features of the app. We also incorporated an interactive message board for patients and doctors. During the period of March 2014 to May 2014, we tested our mobile app for 1 month in participants in a hospital clinic setting. We assessed the app’s usability and acceptability, as well as the patient-doctor relationship, via questionnaires and analysis of app usage data.

Results

We recruited 30 individuals (18 male and 12 female) for the study. The median number of log-ins per day was 1.21, with the most frequently requested item being setting goals, followed by track physical activities and view personal health status. Scales of the depth of the patient-doctor relationship decreased from 27.6 (SD 4.8) to 25.1 (SD 4.5) by a Wilcoxon signed rank test (P=.02).

Conclusions

A mobile phone app linked with an accelerometer for a clinic-based weight loss program is useful and acceptable for weight management but exhibited less favorable early effects on patient-doctor relationships.

Economic simulation of canagliflozin and sitagliptin treatment outcomes in patients with type 2 diabetes mellitus with inadequate glycemic control

OBJECTIVES

This study examines the association between changes in diabetes-related quality measures (QMs) (HbA1c, systolic and diastolic blood pressure [BP], low-density lipoprotein cholesterol [LDL-C], and body weight) and healthcare costs in Type 2 diabetes mellitus (T2DM) patients. It also performs an economic simulation that evaluates the cost implications of the changes in QMs and of the incidence rates (IRs) of adverse events (AEs) associated with canagliflozin (CANA) and sitagliptin (SITA) treatments in a real-world setting.

METHODS

Health-insurance claims and electronic medical records from the Reliant Medical Group database (2007-2011) were used to identify adult patients with T2DM receiving metformin and sulfonylurea who did not achieve adequate glycemic control. The association between the changes in QMs and healthcare costs was evaluated using multivariate regression and non-parametric bootstrap methods. AE-related costs were taken from the literature. The cost impact of CANA and SITA outcomes was evaluated using the aforementioned costs and the changes in QMs and the IRs of AEs observed in a recent phase 3 trial comparing CANA and SITA as third oral agent (DIA3015).

RESULTS

Eight hundred and fifty-six T2DM patients were identified (mean age = 65.8; female 45.4%). The regression analysis found that increases of 1 percentage point in HbA1C and 1% in systolic and diastolic BP, LDL-C, or weight were associated with a per patient per year (PPPY) cost increase of $4476 (p = 0.028) and $566 (p = 0.006), a decrease of $362 (p = 0.070) and $7 (p = 0.817), and an increase of $241 (p = 0.481), respectively. The economic simulation showed that changes in QMs and IRs of AEs equivalent to those reported in DIA3015 would be associated with a reduction in PPPY healthcare costs of $6061 (p = 0.036) for CANA and $2190 (p = 0.098) for SITA.

CONCLUSIONS

This study suggests that integrated approaches that manage to control a combination of quality measures are most successful at reducing downstream healthcare costs.

Cost-effectiveness of once daily GLP-1 receptor agonist lixisenatide compared to bolus insulin both in combination with basal insulin for the treatment of patients with type 2 diabetes in Norway

BACKGROUND

Lixisenatide is a potent, selective and short-acting once daily prandial glucagon-like peptide-1 receptor agonist which lowers glycohemoglobin and body weight by clinically significant amounts in patients with type 2 diabetes treated with basal insulin, with limited risk of hypoglycemia.

OBJECTIVE

To assess the cost-effectiveness of lixisenatide versus bolus insulin, both in combination with basal insulin, in patients with type 2 diabetes in Norway.

METHODS

The IMS CORE Diabetes Model, a non-product-specific and validated simulation model, was used to make clinical and cost projections. Transition probabilities, risk adjustments and the progression of complication risk factors were derived from the UK Prospective Diabetes Study, supplemented with Norwegian data. Patients were assumed to receive combination treatment with basal insulin, lixisenatide or bolus insulin therapy for 3 years, followed by intensification of a basal-bolus insulin regimen for their remaining lifetime. Simulated healthcare costs, taken from the public payer perspective, were derived from microcosting and diagnosis related groups, discounted at 4% per annum and reported in Norwegian krone (NOK). Productivity costs were also captured based on extractions from the Norwegian Labor and Welfare Administration. Health state utilities were derived from a systematic literature review. Sensitivity and scenario analyses were performed.

RESULTS

Lixisenatide in combination with basal insulin was associated with increased quality-adjusted life years (QALYs) and reduced lifetime healthcare costs compared to bolus insulin in combination with basal insulin in patients with Type 2 diabetes, and can be considered dominant. The net monetary benefit of lixisenatide versus bolus insulin was NOK 39,369 per patient. Results were sensitive to discounting, the application of excess body weight associated disutility and uncertainty surrounding the changes in HbA1c.

CONCLUSIONS

Lixisenatide may be considered an economically efficient therapy in combination with basal insulin in the Norwegian setting, due to cost savings, weight loss and associated gains in health-related quality of life.

Relationships between obesity, glycemic control, and cardiovascular risk factors: a pooled analysis of cross-sectional data from Spanish patients with type 2 diabetes in the preinsulin stage

BACKGROUND

Obesity is associated with the onset of type 2 diabetes mellitus (T2D), but reports conflict regarding the association between obesity and macrovascular complications. In this study, we investigated associations between cardiovascular risk factors and body mass index (BMI) and glycemic control in non-insulin-treated patients with T2D.

METHODS

Authors gathered cross-sectional data from five observational studies performed in Spain. Generalized logit models were used to analyze the relationship between cardiovascular risk factors (independent variables) and 5 BMI strata (<25 kg/m2, 25 to <30 kg/m2, 30 to <35 kg/m2, 35 to <40 kg/m2, ≥40 kg/m2) and 5 glycated hemoglobin (HbA1c) strata (≤6.5%, >6.5-7%, >7-8%, >8-9%, >9%) (dependent outcomes).

RESULTS

In total, data from 6442 patients were analyzed. Patients generally had mean values of investigated cardiovascular risk factors outside recommended thresholds. Younger patients had higher BMI, triglyceride levels and HbA1c than their older counterparts. Diastolic blood pressure, systolic blood pressure and triglyceride levels were directly correlated with BMI strata, whereas an inverse correlation was observed between BMI strata and high-density lipoprotein cholesterol (HDL-C) levels, patient age, and duration of T2D. Increased duration of T2D and total cholesterol levels, and decreased HDL-C levels were associated with a higher HbA1c category. BMI and HbA1c levels were not associated with each other.

CONCLUSIONS

As insulin-naïve patients with T2D became more obese, cardiovascular risk factors became more pronounced. Higher BMI was associated with younger age and shorter duration of T2D, consistent with the notion that obesity at an early age may be key to the current T2D epidemic. Glycemic control was independent of BMI but associated with abnormal lipid levels. Further efforts should be done to improve modifiable cardiovascular risk factors.

Triggering factors of primary care costs in the years following type 2 diabetes diagnosis in Mexico

BACKGROUND AND AIMS

Diabetes represents a high epidemiological and economic burden worldwide. The cost of diabetes care increases slowly during early years, but it accelerates once chronic complications set in. There is evidence that adequate control may delay the onset of complications. Management of diabetes falls almost exclusively into primary care services until chronic complications appear. Therefore, primary care is strategic for reducing the expedited growth of costs. The objective of this study was to identify predictors of primary care costs in patients without complications in the years following diabetes diagnosis.

METHODS

Direct medical costs for primary care were determined from the perspective of public health services provider. Information was obtained from medical records of 764 patients. Microcosting and average cost techniques were combined. A generalized linear regression model was developed including characteristics of patients and facilities. Primary health care costs for different patient profiles were estimated.

RESULTS

The mean annual primary care cost was USD$465.1. Gender was the most important predictor followed by weight status, insulin use, respiratoty infections, glycemic control and dyslipidemia. A gap in costs was observed between genders; women make greater use of resources (42.1% on average). Such differences are reduced with obesity (18.1%), overweight (22.8%), respiratory infection (20.8%) and age >80 years (26.8%). Improving glycemic control shows increasing costs but at decreasing rates.

CONCLUSIONS

Modifiable factors (glycemic control, weight status and comorbidities) drive primary care costs the first 10 years. Those factors had a larger effect in costs for males than in for females.

Clinical and economic characteristics associated with type 2 diabetes

OBJECTIVES

Type 2 diabetes mellitus (DM2) is usually accompanied by various comorbidities that can increase the cost of treatment. We are not aware of studies that have determined the costs associated with treating DM2 patients with co-morbidities such as overweight (OW), obesity (OBE) or arterial hypertension (AHT). The aim of the study was to examine the health-related costs and the incidence of cardiovascular disease (CVD) in these patients.

PATIENTS AND METHODS

Multicenter, observational retrospective design. We included patients 40-99 years of age who requested medical attention in 2010 in Badalona (Barcelona, Spain). There were two study groups: those with DM2 and without DM2 (reference group/control), and six subgroups: DM2-only, DM2-AHT, DM2-OW, DM2-OBE; DM2-AHT-OW and DM2-AHT-OBE. The main outcome measures were: co-morbidity, metabolic syndrome (MS), complications (hypoglycemia, CVD) and costs (health and non-health). Follow-up was carried out for two years.

RESULTS

A total of 26,845 patients were recruited. The prevalence of DM2 was 14.0%. Subjects with DM2 were older (67.8 vs. 59.7 years) and more were men (51.3 vs. 43.0%), P<.001. DM2 status was associated primarily with OBE (OR=2.8, CI=2.4-3.1), AHT (OR=2.4, CI=2.2-2.6) and OW (OR=1.9, CI=1.7-2.2). The distribution by subgroups was: 6.7% of patients had only DM2, 26.1% had DM2, AHT and OW, and 34.1% had DM2, AHT, and OBE. Some 75.4% had MS and 37.5% reported an episode of hypoglycemia. The total cost/patient with DM2 was €4,458. By subgroups the costs were as follows: DM2: €3,431; DM2-AHT: €4,075; DM2-OW: €4,057; DM2-OBE: €4,915; DM2-AHT-OW: €4,203 and DM2-AHT-OBE: €5,021, P<.001. The CVD rate among patients with DM2 was 4.7 vs. 1.7% in those without DM2 P<.001.

CONCLUSIONS

Obesity is a comorbidity associated with DM2 that leads to greater healthcare costs than AHT. The presence of these comorbidities causes increased rates of CVD.

Impact of BMI and BMI change on future drug expenditures in adults: results from the MONICA/KORA cohort study

BACKGROUND

The evidence on the long-term economic effects of obesity is still scarce. This study aims to analyse the impact of body mass index (BMI) and BMI-change on future pharmaceutical utilisation and expenditures.

METHODS

Based on data from 2,946 participants in a German population-based health survey (MONICA/KORA, 1994/95) and the follow-up study (2004/05), drug intake and expenditures were estimated using a bottom-up approach. Using univariate and multivariate methods, we analysed the impact of baseline BMI and BMI-change on drug utilisation and expenditures after 10 years.

RESULTS

The use of pharmaceuticals was more likely in moderately and severely obese compared to the normal weight group (OR 1.8 and 4.0, respectively). In those who reported pharmaceutical intake, expenditures were about 40% higher for the obese groups. A 1-point BMI-gain in 10 years was, on average, associated with almost 6% higher expenditures compared to a constant BMI.

CONCLUSION

The results suggest that obesity as well as BMI-gain are strong predictors of future drug utilisation and associated expenditures in adults, and thus highlight the necessity of timely and effective intervention and prevention programmes. This study complements the existing literature and provides important information on the relevance of obesity as a health problem.