Examining correlates of treatment satisfaction for injectable insulin in type 2 diabetes: Lessons learned from a clinical trial comparing biphasic and basal analogues

Meryl Brod, David Cobden, Morten Lammert, Donald Bushnell, Philip Raskin

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Abstract

Background: Successfully managing diabetes is a complex process that includes addressing issues of drug efficacy, safety and treatment satisfaction. Additionally, the combined impact of patient/disease characteristics and treatment outcomes on treatment satisfaction is not well understood. The purpose of this study was to examine the impact of age, weight, gender, co-morbid conditions, diabetes history, treatment burden, efficacy (HbA1c) and side effects (weight gain, hypoglycemic events) on patients' appraisal of treatment satisfaction using linear regression models. Methods: Data from a multi-center, randomized clinical trial comparing the efficacy/safety of biphasic insulin aspart 70/30 (BIAsp 70/30) vs. glargine (Glar) among insulin naïve type 2 patients were analyzed. Subjects were between ages 18-75, with baseline HbA1c > 8% and BMI ≤ 40 kg/m2 (N = 233). Treatment satisfaction was assessed by the Insulin Treatment Satisfaction Questionnaire (ITSQ). Results: When factors were examined independently, multiple significant relationships (age, co-morbidity, hypoglycemic events, and weight gain) with overall and/or domains of treatment satisfaction were found. However, when all significant relationships were examined together, only neuropathy, treatment efficacy, and number of hypoglycemic events maintained their previous significance. Conclusion: By examining predictors independently, significant relationships were identified. However, not all findings remained significant when examined in combination with each other. Thus, to more accurately characterize the impact of factors on treatment satisfaction, a more comprehensive approach may be necessary. By improving patient treatment satisfaction, the efficacy of treatments, as well as critical treatment outcomes such as compliance and cost of care should be improved.

Original languageEnglish (US)
Article number8
JournalHealth and Quality of Life Outcomes
Volume5
DOIs
StatePublished - 2007

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Type 2 Diabetes Mellitus
Clinical Trials
Insulin
Injections
Hypoglycemic Agents
Therapeutics
Weight Gain
Linear Models
Safety
Patient Satisfaction
Compliance
Randomized Controlled Trials
History
Morbidity
Weights and Measures
Costs and Cost Analysis
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

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title = "Examining correlates of treatment satisfaction for injectable insulin in type 2 diabetes: Lessons learned from a clinical trial comparing biphasic and basal analogues",
abstract = "Background: Successfully managing diabetes is a complex process that includes addressing issues of drug efficacy, safety and treatment satisfaction. Additionally, the combined impact of patient/disease characteristics and treatment outcomes on treatment satisfaction is not well understood. The purpose of this study was to examine the impact of age, weight, gender, co-morbid conditions, diabetes history, treatment burden, efficacy (HbA1c) and side effects (weight gain, hypoglycemic events) on patients' appraisal of treatment satisfaction using linear regression models. Methods: Data from a multi-center, randomized clinical trial comparing the efficacy/safety of biphasic insulin aspart 70/30 (BIAsp 70/30) vs. glargine (Glar) among insulin na{\"i}ve type 2 patients were analyzed. Subjects were between ages 18-75, with baseline HbA1c > 8{\%} and BMI ≤ 40 kg/m2 (N = 233). Treatment satisfaction was assessed by the Insulin Treatment Satisfaction Questionnaire (ITSQ). Results: When factors were examined independently, multiple significant relationships (age, co-morbidity, hypoglycemic events, and weight gain) with overall and/or domains of treatment satisfaction were found. However, when all significant relationships were examined together, only neuropathy, treatment efficacy, and number of hypoglycemic events maintained their previous significance. Conclusion: By examining predictors independently, significant relationships were identified. However, not all findings remained significant when examined in combination with each other. Thus, to more accurately characterize the impact of factors on treatment satisfaction, a more comprehensive approach may be necessary. By improving patient treatment satisfaction, the efficacy of treatments, as well as critical treatment outcomes such as compliance and cost of care should be improved.",
author = "Meryl Brod and David Cobden and Morten Lammert and Donald Bushnell and Philip Raskin",
year = "2007",
doi = "10.1186/1477-7525-5-8",
language = "English (US)",
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T1 - Examining correlates of treatment satisfaction for injectable insulin in type 2 diabetes

T2 - Lessons learned from a clinical trial comparing biphasic and basal analogues

AU - Brod, Meryl

AU - Cobden, David

AU - Lammert, Morten

AU - Bushnell, Donald

AU - Raskin, Philip

PY - 2007

Y1 - 2007

N2 - Background: Successfully managing diabetes is a complex process that includes addressing issues of drug efficacy, safety and treatment satisfaction. Additionally, the combined impact of patient/disease characteristics and treatment outcomes on treatment satisfaction is not well understood. The purpose of this study was to examine the impact of age, weight, gender, co-morbid conditions, diabetes history, treatment burden, efficacy (HbA1c) and side effects (weight gain, hypoglycemic events) on patients' appraisal of treatment satisfaction using linear regression models. Methods: Data from a multi-center, randomized clinical trial comparing the efficacy/safety of biphasic insulin aspart 70/30 (BIAsp 70/30) vs. glargine (Glar) among insulin naïve type 2 patients were analyzed. Subjects were between ages 18-75, with baseline HbA1c > 8% and BMI ≤ 40 kg/m2 (N = 233). Treatment satisfaction was assessed by the Insulin Treatment Satisfaction Questionnaire (ITSQ). Results: When factors were examined independently, multiple significant relationships (age, co-morbidity, hypoglycemic events, and weight gain) with overall and/or domains of treatment satisfaction were found. However, when all significant relationships were examined together, only neuropathy, treatment efficacy, and number of hypoglycemic events maintained their previous significance. Conclusion: By examining predictors independently, significant relationships were identified. However, not all findings remained significant when examined in combination with each other. Thus, to more accurately characterize the impact of factors on treatment satisfaction, a more comprehensive approach may be necessary. By improving patient treatment satisfaction, the efficacy of treatments, as well as critical treatment outcomes such as compliance and cost of care should be improved.

AB - Background: Successfully managing diabetes is a complex process that includes addressing issues of drug efficacy, safety and treatment satisfaction. Additionally, the combined impact of patient/disease characteristics and treatment outcomes on treatment satisfaction is not well understood. The purpose of this study was to examine the impact of age, weight, gender, co-morbid conditions, diabetes history, treatment burden, efficacy (HbA1c) and side effects (weight gain, hypoglycemic events) on patients' appraisal of treatment satisfaction using linear regression models. Methods: Data from a multi-center, randomized clinical trial comparing the efficacy/safety of biphasic insulin aspart 70/30 (BIAsp 70/30) vs. glargine (Glar) among insulin naïve type 2 patients were analyzed. Subjects were between ages 18-75, with baseline HbA1c > 8% and BMI ≤ 40 kg/m2 (N = 233). Treatment satisfaction was assessed by the Insulin Treatment Satisfaction Questionnaire (ITSQ). Results: When factors were examined independently, multiple significant relationships (age, co-morbidity, hypoglycemic events, and weight gain) with overall and/or domains of treatment satisfaction were found. However, when all significant relationships were examined together, only neuropathy, treatment efficacy, and number of hypoglycemic events maintained their previous significance. Conclusion: By examining predictors independently, significant relationships were identified. However, not all findings remained significant when examined in combination with each other. Thus, to more accurately characterize the impact of factors on treatment satisfaction, a more comprehensive approach may be necessary. By improving patient treatment satisfaction, the efficacy of treatments, as well as critical treatment outcomes such as compliance and cost of care should be improved.

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