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Objectives: Non-adherence and non-persistence to anti-hyperglycemic agents are associated with worse clinical and economic outcomes in patients with type 2 diabetes. This study evaluated treatment persistence and adherence across newer anti-hyperglycemic agents (canagliflozin, dapagliflozin, sitagliptin, saxagliptin, linagliptin, liraglutide, or exenatide).

Methods: This retrospective cohort study of Truven Health Analytics Marketscan databases included adult patients with type 2 diabetes whose first pharmacy claim for a newer anti-hyperglycemic agent was between February 1, 2014 and July 31, 2014. Treatment persistence and adherence were assessed for 12 months after the first claim (post-index). Persistence was defined as no gap 90 days between the end of one pharmacy claim and the start of the next pharmacy claim post-index. Adherence used two definitions: proportion of days covered (PDC) and medication possession ratio (MPR). Multivariable analyses of non-persistence (hazard ratios) and adherence (odds ratios) were adjusted for baseline demographics, drug cost, clinical characteristics, and other anti-hyperglycemic agents.

Results: A total of 11,961 patients met all study selection criteria. Persistence rates at 12 months were significantly greater (p?p?=?0.83; PDC?=?0.79) and canagliflozin 300?mg (MPR?=?0.92; PDC?=?0.81) were greater than for the other index anti-hyperglycemic agents (MPR?=?0.330.75; PDC?=?0.330.72). Consistent results for treatment persistence and adherence were observed in multivariable analyses that were adjusted baseline characteristics.

Conclusions: Canagliflozin was associated with better treatment persistence and treatment adherence compared with other anti-hyperglycemic agents in real-world settings.  相似文献   

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Abstract

Background:

Studies examining outcomes of different insulin delivery systems are limited. The objective of this study was to compare healthcare utilization, costs, adherence, and hypoglycemia rates in patients with type 2 diabetes mellitus (T2DM) initiating rapid-acting insulin analog (RAIA) using prefilled pen versus vial/syringe.

Methods:

A retrospective analysis was conducted using a US claims database (1/1/2007 to 12/31/2008). Inclusion criteria were: ≥18 years old, with T2DM, ≥12 months of continuous eligibility, and new to RAIA. Difference-in-difference analyses after propensity score matching were conducted to compare changes in outcomes from 6 months prior to and 6 months after initiating RAIA with a prefilled pen versus vial/syringe (Wilcoxon rank-sum test for costs and t-test for other outcomes). Categories of utilization and costs (2009 USD) included total and diabetes-related inpatient, outpatient, and emergency room. Adherence was measured by proportion of days covered (PDC). Hypoglycemia was identified using ICD-9-CM codes.

Results:

Baseline characteristics were similar between the prefilled pen (n?=?239) and vial/syringe (n?=?590) cohorts after matching. Adherence to RAIA was greater in the prefilled pen cohort than the vial/syringe cohort (PDC: 54.6 vs. 45.2%, p?<?0.001). While the increase in diabetes-related pharmacy costs from before to after initiating RAIA was greater in the prefilled pen cohort than the vial/syringe cohort (+$900 vs. +$607, p?<?0.001), the prefilled pen cohort was associated with greater reductions in the total diabetes-related costs (–$235 vs. +$61, p?=?0.006) and the utilization of oral anti-hyperglycemic agents (–1.3 vs. –0.7, p?=?0.016). There were no significant differences in other outcomes.

Limitations:

Claims databases do not provide optimal measures for adherence or T2DM severity, and only capture hypoglycemia events requiring clinical intervention.

Conclusion:

Initiating RAIA with a prefilled pen was associated with better adherence and greater reduction in total diabetes-related costs than a vial/syringe. There was no significant difference in total healthcare costs.  相似文献   

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Abstract

Objectives:

To describe daytime non-severe hypoglycemic events (NSHEs), assess their impact on patient functioning and diabetes self-management, and examine if these impacts differ by diabetes type or country.

Methods:

Internet survey to adults with diabetes in the US, UK, Germany, and France.

Results:

Of 6756 screened respondents, 2439 reported a daytime NSHE in the past month. NSHEs occurred while active (e.g., running errands) (45.1%), 29.6% while not active (e.g., watching TV), and 23.8% at work. On average, it took half a day to respond and recover from NSHE. Respondents monitored their glucose 5.7 extra times on average over the following week. On the day of event, type 1 respondents tested significantly more often than type 2 (p?<?0.05). Type 2 were less likely to confirm NSHE with glucose test (p?<?0.001). Following NSHE, 12.6% of respondents reduced total insulin by an average of 7.6 units (SD?=?8.3). Total units and days with reduced dosing was significantly less, whilst number of additional glucose tests and time to recover was significantly longer if NSHE occurred at work (p?<?0.001). Type 1 decreased insulin doses more often (p?<?0.001); however, type 2 decreased a greater number of units (p?<?0.01). Compared with other countries, US respondents were more likely to eat a light or full meal and respondents in France took significantly longer than all other countries to recognize (p?<?0.05), respond to (p?<?0.001), and recover from (p?<?0.001) NSHE, used significantly more monitoring tests the day of (p?<?0.05) and over the subsequent week (p?<?0.001), and decreased their normal insulin dose more (p?<?0.001). Limitations of the study include potential recall bias and selection bias.

Conclusions:

NSHEs are associated with a significant impact on patient functioning and diabetes management.  相似文献   

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Abstract

Aims: Many new mobile technologies are available to assist people in managing chronic conditions, but data on the association between the use of these technologies and medical spending remains limited. As the available digital technology offerings to aid in diabetes management increase, it is important to understand their impact on medical spending. The aim of this study was to investigate the financial impact of a remote digital diabetes management program using medical claims and real-time blood glucose data.

Materials and methods: A retrospective analysis of multivariate difference-in-difference and instrumental variables regression modeling was performed using data collected from a remote digital diabetes management program. All employees with diabetes were invited, in a phased introduction, to join the program. Data included blood glucose (BG) values captured remotely from members via connected BG meters and medical spending claims. Participants included members (those who accepted the invitation, n?=?2,261) and non-members (n?=?8,741) who received health insurance benefits from three self-insured employers. Medical spending was compared between people with well-controlled (BG ≤ 154?mg/dL) and poorly controlled (BG > 154?mg/dL) diabetes.

Results: Program access was associated with a 21.9% (p?<?0.01) decrease in medical spending, which translates into a $88 saving per member per month at 1 year. Compared to non-members, members experienced a 10.7% (p?<?0.01) reduction in diabetes-related medical spending and a 24.6% (p?<?0.01) reduction in spending on office-based services. Well-controlled BG values were associated with 21.4% (p?=?0.03) lower medical spending.

Limitations and conclusions: Remote digital diabetes management is associated with decreased medical spending at 1 year. Reductions in spending increased with active utilization. It will be beneficial for future studies to analyze the long-term effects of the remote diabetes management program and assess impacts on patient health and well-being.  相似文献   

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《Journal of medical economics》2013,16(12):1453-1461
Abstract

Purpose:

Hypoglycemia is a frequent side effect induced by insulin treatment of type 1 (T1DM) and type 2 diabetes (T2DM). Limited data exist on the associated healthcare resource use and patient impact of hypoglycemia, particularly at a country-specific level. This study investigated the effects of self-reported non-severe hypoglycemic events (NSHE) on use of healthcare resources and patient wellbeing.

Methods:

Patients with T1DM or insulin-treated T2DM diabetes from seven European countries were invited to complete four weekly questionnaires. Data were collected on patient demographics, NSHE occurrence in the last 7 days, hypoglycemia-related resource use, and patient impact. NSHE were defined as events with hypoglycemia symptoms, with or without blood glucose measurement, or low blood glucose measurement without symptoms, which the patient could manage without third-party assistance.

Results:

Three thousand, nine hundred and fifty-nine respondents completed at least one wave of the survey, with 57% completing all four questionnaires; 3827 respondents were used for data analyses. Overall, 2.3% and 8.9% of NSHE in patients with T1DM and T2DM, respectively, resulted in healthcare professional contact. Across countries, there was a mean increase in blood glucose test use of 3.0 tests in the week following a NSHE. Among respondents who were employed (48%), loss of work-time after the last hypoglycemic event was reported for 9.7% of NSHE. Overall, 10.2% (daytime) and 8.0% (nocturnal) NSHE led to work-time loss, with a mean loss of 84.3 (daytime) and 169.6 (nocturnal) minutes among patients reporting work-time loss. Additionally, patients reported feeling tired, irritable, and having negative feelings following hypoglycemia.

Limitations:

Direct comparisons between studies must be interpreted with caution because of different definitions of hypoglycemia severity, duration of the studies, and methods of data collection.

Conclusions:

NSHE were associated with use of extra healthcare resources and work-time loss in all countries studied, suggesting that NSHE have considerable impact on patients/society.  相似文献   

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