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

Impact of Weight Change in Adults with Type 2 Diabetes Mellitus: A Literature Review and Critical Analysis

Objective

Weight reduction is a key component of diabetes management in adults with type 2 diabetes mellitus (T2DM), yet the benefits of weight loss in T2DM patients have been difficult to quantify. We examined the medical literature regarding the relationships between weight change and 1) glycemic control and 2) cost and resource use.

Methods

Systematic searches were conducted in the electronic databases Embase, MEDLINE, and the Cochrane Database of Systematic Reviews to identify publications regarding the impact of weight change on T2DM outcomes from 2007 onward. Identified publications were screened for relevance against predefined eligibility criteria, and methodological approaches and results were extracted. Evidence for the impact of weight change on outcomes was evaluated and used to identify strengths, limitations, and gaps in the current literature.

Results

The number of studies meeting eligibility criteria for each outcome was: glycemic control (n=38) and cost and resource use (n=11). The relationship between weight change and glycemic control was dependent on the interplay of multiple factors, eg, the weight loss interventions employed, the antidiabetic medication classes used, the time horizon, and baseline BMI and glycemic control. With respect to cost and resource use, the review indicated that savings were associated with weight loss, and increased costs were associated with weight gain.

Conclusion

Studies regarding weight change in T2DM patients demonstrated varying effects on glycemic control and a positive association with costs and resource use, where weight loss was associated with decreased costs and resource use. Future studies may be able to clarify these relationships.

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

AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

Association between person and disease related factors and the planned diabetes care in people who receive person-centered type 2 diabetes care: An implementation study

AIMS

To assess the planned diabetes care for the coming year and its associated factors in patients with Type 2 diabetes who have a person-centered annual consultation.

METHODS

Implementation study of a new consultation model in 47 general practices (primary care) and 6 outpatient clinics (secondary care); 1200 patients from primary and 166 from secondary care participated. Data collection took place between November 2015 and February 2017. Outcomes: preferred monitoring frequency; referral to other health care provider(s); medication change. One measurement at the end of the consultation. We performed logistic regression analyses. Differences between primary and secondary care were analyzed.

RESULTS

Many patients arranged a monitoring frequency <4 times per year (general practices 19.5%, outpatient clinics 40%, p < .001). Type of provider (physician/nurse, OR 3.83, p < .001), baseline HbA1c (OR 1.02, p = .017), glucose lowering medication; and setting treatment goals (OR .65, p = .048) were associated with the chosen frequency. Independently associated with a referral were age (OR .99, p = .039), baseline glucose lowering medication and patients' goal setting (OR 1.52, p = .016). Medication change was associated with type of provider, baseline HbA1c, blood glucose lowering medication, quality of life (OR .80, p = .037) and setting treatment goals (OR 2.64, p = .001).

CONCLUSIONS

Not only disease but also person related factors, especially setting treatment goals, are independently associated with planned care use in person-centered diabetes care.

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.

Short-term air pollution exposure is associated with hospital length of stay and hospitalization costs among inpatients with type 2 diabetes: a hospital-based study

Air pollution is a risk factor for type 2 diabetes (T2D), exerting heavy economic burden on both individuals and societies. However, there is no apparent report regarding the influence of air pollutants such as particulate matter (PM_2.5 and PM₁₀), sulfur dioxide (SO₂), carbon monoxide (CO), nitrogen dioxide (NO₂), and ozone (O₃) on financial burden to individuals and societies suffering from T2D. This study aimed to determine whether short-term (no more than 16 d) air pollution exposure was associated with T2D-related length of stay (LOS) and hospitalization expenses incurred by patients. This investigation examined 2840 T2D patients hospitalized from December 17, 2013 to May 31, 2016 in China. Multiple linear regression analysis was applied to determine the association between short-term (no more than 16 d) ambient air pollution, LOS, and hospitalization expenses, controlling for age, gender, ethnicity, marital status, and weather conditions. Sulfur dioxide (SO₂) and carbon monoxide (CO) were significantly positively while nitrogen dioxide (NO₂) was negatively associated with presence of T2D, LOS, and expenses. A 10-μg/m³ rise in 16-d (lag 0-15) average concentrations of SO₂ and CO prior to hospitalization was correlated with a significant elevation in LOS and elevation in expenses in T2D patients. However, a 10-μg/m³ rise in 16-d average NO₂ was associated with marked negative alterations in LOS and hospital costs in T2D patients. Taken together, data demonstrate that exposure to air pollutants impacts differently on LOS and hospitalization costs for T2D patients. This is the first apparent report regarding the correlation between air pollution exposure and clinical costs of T2D in China. It is of interest that air pollutants affected T2D patients differently as evidenced by LOS and clinical expenses where SO₂ and CO exhibited a positive adverse relationship in contrast to NO₂.