Patient treatment satisfaction after switching to NovoMix® 30 (BIAsp 30) in the IMPROVE™ study: an analysis of the influence of prior and current treatment factors
Identifieur interne : 000D59 ( Pmc/Corpus ); précédent : 000D58; suivant : 000D60Patient treatment satisfaction after switching to NovoMix® 30 (BIAsp 30) in the IMPROVE™ study: an analysis of the influence of prior and current treatment factors
Auteurs : Meryl Brod ; Paul Valensi ; Joseph A. Shaban ; Don M. Bushnell ; Torsten L. ChristensenSource :
- Quality of Life Research [ 0962-9343 ] ; 2010.
Abstract
Understanding treatment satisfaction (TS) for diabetes is increasingly important as treatment options increase. This study examines treatment satisfaction with NovoMix® 30 in an observational study in patients with type 2 diabetes.
The DiabMedSat assesses Overall, Treatment Burden, Symptom and Efficacy Treatment Satisfaction. The impact of type of pretreatment variables on TS was examined by ANOVA at baseline and week 26. Satisfaction at week 26 was examined by
The data set comprised 17,488 persons. Prior treatment with insulin had a more positive impact on baseline satisfaction. At week 26, there were no differences between type of prior treatment groups in Overall, Symptoms and Burden TS. Current treatment with NovoMix 30 significantly improved TS. Regression analyses examining the combined effect of pretreatment factors and current treatment factors found that all factors except for age-impacted TS although the domains impacted varied.
Patients treated with NovoMix 30 reported improved treatment satisfaction, and the improvement is considered clinically meaningful to patients.
Url:
DOI: 10.1007/s11136-010-9699-0
PubMed: 20602172
PubMed Central: 2963740
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PMC:2963740Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Patient treatment satisfaction after switching to NovoMix<sup>®</sup> 30 (BIAsp 30) in the IMPROVE™ study: an analysis of the influence of prior and current treatment factors</title><author><name sortKey="Brod, Meryl" sort="Brod, Meryl" uniqKey="Brod M" first="Meryl" last="Brod">Meryl Brod</name><affiliation><nlm:aff id="Aff1">The Brod Group, 219 Julia Avenue, Mill Valley, CA 94941 USA</nlm:aff></affiliation></author><author><name sortKey="Valensi, Paul" sort="Valensi, Paul" uniqKey="Valensi P" first="Paul" last="Valensi">Paul Valensi</name><affiliation><nlm:aff id="Aff2">Department of Endocrinology-Diabetology-Nutrition, Paris Nord University, Paris, France</nlm:aff></affiliation></author><author><name sortKey="Shaban, Joseph A" sort="Shaban, Joseph A" uniqKey="Shaban J" first="Joseph A." last="Shaban">Joseph A. Shaban</name><affiliation><nlm:aff id="Aff3">Department of Medicine, Windsor Regional Hospital, Windsor, ON Canada</nlm:aff></affiliation></author><author><name sortKey="Bushnell, Don M" sort="Bushnell, Don M" uniqKey="Bushnell D" first="Don M." last="Bushnell">Don M. Bushnell</name><affiliation><nlm:aff id="Aff4">Health Research Associates, 6505 216th Street SW, Suite 105, Mountlake Terrace, WA 98043 USA</nlm:aff></affiliation></author><author><name sortKey="Christensen, Torsten L" sort="Christensen, Torsten L" uniqKey="Christensen T" first="Torsten L." last="Christensen">Torsten L. Christensen</name><affiliation><nlm:aff id="Aff5">Novo Nordisk A/S, Hummeltoftevej 49, 2830 Virum, Denmark</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">20602172</idno><idno type="pmc">2963740</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2963740</idno><idno type="RBID">PMC:2963740</idno><idno type="doi">10.1007/s11136-010-9699-0</idno><date when="2010">2010</date><idno type="wicri:Area/Pmc/Corpus">000D59</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000D59</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Patient treatment satisfaction after switching to NovoMix<sup>®</sup> 30 (BIAsp 30) in the IMPROVE™ study: an analysis of the influence of prior and current treatment factors</title><author><name sortKey="Brod, Meryl" sort="Brod, Meryl" uniqKey="Brod M" first="Meryl" last="Brod">Meryl Brod</name><affiliation><nlm:aff id="Aff1">The Brod Group, 219 Julia Avenue, Mill Valley, CA 94941 USA</nlm:aff></affiliation></author><author><name sortKey="Valensi, Paul" sort="Valensi, Paul" uniqKey="Valensi P" first="Paul" last="Valensi">Paul Valensi</name><affiliation><nlm:aff id="Aff2">Department of Endocrinology-Diabetology-Nutrition, Paris Nord University, Paris, France</nlm:aff></affiliation></author><author><name sortKey="Shaban, Joseph A" sort="Shaban, Joseph A" uniqKey="Shaban J" first="Joseph A." last="Shaban">Joseph A. Shaban</name><affiliation><nlm:aff id="Aff3">Department of Medicine, Windsor Regional Hospital, Windsor, ON Canada</nlm:aff></affiliation></author><author><name sortKey="Bushnell, Don M" sort="Bushnell, Don M" uniqKey="Bushnell D" first="Don M." last="Bushnell">Don M. Bushnell</name><affiliation><nlm:aff id="Aff4">Health Research Associates, 6505 216th Street SW, Suite 105, Mountlake Terrace, WA 98043 USA</nlm:aff></affiliation></author><author><name sortKey="Christensen, Torsten L" sort="Christensen, Torsten L" uniqKey="Christensen T" first="Torsten L." last="Christensen">Torsten L. Christensen</name><affiliation><nlm:aff id="Aff5">Novo Nordisk A/S, Hummeltoftevej 49, 2830 Virum, Denmark</nlm:aff></affiliation></author></analytic><series><title level="j">Quality of Life Research</title><idno type="ISSN">0962-9343</idno><idno type="eISSN">1573-2649</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Purpose</title><p>Understanding treatment satisfaction (TS) for diabetes is increasingly important as treatment options increase. This study examines treatment satisfaction with NovoMix<sup>®</sup> 30 in an observational study in patients with type 2 diabetes.</p></sec><sec><title>Methods</title><p>The DiabMedSat assesses Overall, Treatment Burden, Symptom and Efficacy Treatment Satisfaction. The impact of type of pretreatment variables on TS was examined by ANOVA at baseline and week 26. Satisfaction at week 26 was examined by <italic>t</italic>-test and effect size. Linear regression models examined impact of prior treatment factors (age, gender, duration of diabetes, type of prior treatment and diabetes-related comorbidities) and current treatment factors (weight gain, hypoglycemic events, reaching therapeutic goal) on TS.</p></sec><sec><title>Results</title><p>The data set comprised 17,488 persons. Prior treatment with insulin had a more positive impact on baseline satisfaction. At week 26, there were no differences between type of prior treatment groups in Overall, Symptoms and Burden TS. Current treatment with NovoMix 30 significantly improved TS. Regression analyses examining the combined effect of pretreatment factors and current treatment factors found that all factors except for age-impacted TS although the domains impacted varied.</p></sec><sec><title>Conclusions</title><p>Patients treated with NovoMix 30 reported improved treatment satisfaction, and the improvement is considered clinically meaningful to patients.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Albrecht, G" uniqKey="Albrecht G">G Albrecht</name></author><author><name sortKey="Hoogstraten, J" uniqKey="Hoogstraten J">J Hoogstraten</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Atkinson, Mj" uniqKey="Atkinson M">MJ Atkinson</name></author><author><name sortKey="Kumar, R" uniqKey="Kumar R">R Kumar</name></author><author><name sortKey="Cappelleri, Jc" uniqKey="Cappelleri J">JC Cappelleri</name></author><author><name sortKey="Hass, Sl" uniqKey="Hass S">SL 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Qual Life Res</journal-id><journal-title-group><journal-title>Quality of Life Research</journal-title></journal-title-group><issn pub-type="ppub">0962-9343</issn><issn pub-type="epub">1573-2649</issn><publisher><publisher-name>Springer Netherlands</publisher-name><publisher-loc>Dordrecht</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">20602172</article-id><article-id pub-id-type="pmc">2963740</article-id><article-id pub-id-type="publisher-id">9699</article-id><article-id pub-id-type="doi">10.1007/s11136-010-9699-0</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Patient treatment satisfaction after switching to NovoMix<sup>®</sup> 30 (BIAsp 30) in the IMPROVE™ study: an analysis of the influence of prior and current treatment factors</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Brod</surname><given-names>Meryl</given-names></name><address><phone>+1-415-3815532</phone><fax>+1-415-3810653</fax><email>mbrod@thebrodgroup.net</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Valensi</surname><given-names>Paul</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Shaban</surname><given-names>Joseph A.</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Bushnell</surname><given-names>Don M.</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Christensen</surname><given-names>Torsten L.</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><aff id="Aff1"><label>1</label>The Brod Group, 219 Julia Avenue, Mill Valley, CA 94941 USA</aff><aff id="Aff2"><label>2</label>Department of Endocrinology-Diabetology-Nutrition, Paris Nord University, Paris, France</aff><aff id="Aff3"><label>3</label>Department of Medicine, Windsor Regional Hospital, Windsor, ON Canada</aff><aff id="Aff4"><label>4</label>Health Research Associates, 6505 216th Street SW, Suite 105, Mountlake Terrace, WA 98043 USA</aff><aff id="Aff5"><label>5</label>Novo Nordisk A/S, Hummeltoftevej 49, 2830 Virum, Denmark</aff></contrib-group><pub-date pub-type="epub"><day>4</day><month>7</month><year>2010</year></pub-date><pub-date pub-type="pmc-release"><day>4</day><month>7</month><year>2010</year></pub-date><pub-date pub-type="ppub"><month>11</month><year>2010</year></pub-date><volume>19</volume><issue>9</issue><fpage>1285</fpage><lpage>1293</lpage><history><date date-type="accepted"><day>15</day><month>6</month><year>2010</year></date></history><permissions><copyright-statement>© The Author(s) 2010</copyright-statement></permissions><abstract><sec><title>Purpose</title><p>Understanding treatment satisfaction (TS) for diabetes is increasingly important as treatment options increase. This study examines treatment satisfaction with NovoMix<sup>®</sup> 30 in an observational study in patients with type 2 diabetes.</p></sec><sec><title>Methods</title><p>The DiabMedSat assesses Overall, Treatment Burden, Symptom and Efficacy Treatment Satisfaction. The impact of type of pretreatment variables on TS was examined by ANOVA at baseline and week 26. Satisfaction at week 26 was examined by <italic>t</italic>-test and effect size. Linear regression models examined impact of prior treatment factors (age, gender, duration of diabetes, type of prior treatment and diabetes-related comorbidities) and current treatment factors (weight gain, hypoglycemic events, reaching therapeutic goal) on TS.</p></sec><sec><title>Results</title><p>The data set comprised 17,488 persons. Prior treatment with insulin had a more positive impact on baseline satisfaction. At week 26, there were no differences between type of prior treatment groups in Overall, Symptoms and Burden TS. Current treatment with NovoMix 30 significantly improved TS. Regression analyses examining the combined effect of pretreatment factors and current treatment factors found that all factors except for age-impacted TS although the domains impacted varied.</p></sec><sec><title>Conclusions</title><p>Patients treated with NovoMix 30 reported improved treatment satisfaction, and the improvement is considered clinically meaningful to patients.</p></sec></abstract><kwd-group><title>Keywords</title><kwd>Treatment satisfaction</kwd><kwd>Observational study</kwd><kwd>Diabetes mellitus</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer Science+Business Media B.V. 2010</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p>Understanding treatment satisfaction for diabetes is especially important given the ever increasing range of treatment options for patients with diabetes. Treatment satisfaction (TS) is a key patient-reported outcome (PRO) as it has been found to impact patient compliance [<xref ref-type="bibr" rid="CR1">1</xref>, <xref ref-type="bibr" rid="CR2">2</xref>], cost of care [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR4">4</xref>] and self-management behaviors [<xref ref-type="bibr" rid="CR5">5</xref>], as well as significantly differ between drug treatment options [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR7">7</xref>]. The treatment for approximately 30% of patients with diabetes in US is insulin [<xref ref-type="bibr" rid="CR8">8</xref>], the most potent drug available to achieve glycemic targets [<xref ref-type="bibr" rid="CR9">9</xref>]. Unfortunately, insulin use often involves negative perceptions and may present an emotional and logistical hurdle leading to patient resistance to treatment [<xref ref-type="bibr" rid="CR10">10</xref>–<xref ref-type="bibr" rid="CR12">12</xref>], and it has been found that, when examining the willingness of type 2 insulin-naïve diabetic patients to begin insulin, negative attitudes toward insulin are common [<xref ref-type="bibr" rid="CR13">13</xref>]. Persons with diabetes who perceive injecting insulin as burdensome may experience more negative health outcomes [<xref ref-type="bibr" rid="CR14">14</xref>], whereas patients who are satisfied with their treatments are more likely to maintain positive physical and psychological health [<xref ref-type="bibr" rid="CR15">15</xref>].</p><p>Unfortunately, patient characteristics such as age and gender as well as treatment outcomes such as the experience of side effects, which may differentially influence treatment satisfaction depending upon the stage of treatment (treatment initiation vs. during treatment), are not well understood [<xref ref-type="bibr" rid="CR16">16</xref>]. Studies have reported that treatment satisfaction may be positively or negatively associated with age [<xref ref-type="bibr" rid="CR17">17</xref>–<xref ref-type="bibr" rid="CR20">20</xref>]. Duration of diabetes has been shown to predict poorer quality of life and poorer glycemic control [<xref ref-type="bibr" rid="CR21">21</xref>, <xref ref-type="bibr" rid="CR22">22</xref>]. Several studies have observed an association between treatment satisfaction and type of treatment (e.g., insulin vs. oral, type of insulin delivery device) [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR23">23</xref>–<xref ref-type="bibr" rid="CR30">30</xref>], and overall treatment satisfaction has been shown to be significantly improved after switching treatment from orals or orals with insulin to treatment with Biphasic Insulin Aspart 30 [<xref ref-type="bibr" rid="CR31">31</xref>]. At least three studies reported reduced treatment satisfaction among women [<xref ref-type="bibr" rid="CR23">23</xref>, <xref ref-type="bibr" rid="CR32">32</xref>, <xref ref-type="bibr" rid="CR33">33</xref>]. Diabetes-related comorbidities such as neuropathy have been found to predict decreased treatment satisfaction [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR23">23</xref>, <xref ref-type="bibr" rid="CR32">32</xref>, <xref ref-type="bibr" rid="CR33">33</xref>].</p><p>Previous research has also shown that concerns with treatment side effects, especially hypoglycemia and weight gain, can negatively affect patient perceptions of insulin therapy and lead to diminished treatment efficacy. Fear of weight gain may increase a patient’s psychological and treatment burden, diminishing treatment satisfaction [<xref ref-type="bibr" rid="CR34">34</xref>, <xref ref-type="bibr" rid="CR35">35</xref>]. Two studies found that approximately 1/3 of female subjects with type 1 diabetes omitted insulin in order to control their weight [<xref ref-type="bibr" rid="CR36">36</xref>, <xref ref-type="bibr" rid="CR37">37</xref>]. Since weight gain is further associated with insulin resistance, it may also compromise treatment efficacy [<xref ref-type="bibr" rid="CR38">38</xref>]. Experiencing hypoglycemic events has been associated with lower levels of treatment satisfaction [<xref ref-type="bibr" rid="CR33">33</xref>, <xref ref-type="bibr" rid="CR39">39</xref>], while patients fearful of hypoglycemia have been reported to limit their blood glucose control regimen in order to avoid triggering a hypoglycemic event [<xref ref-type="bibr" rid="CR34">34</xref>].</p><p>Thus, to more accurately characterize the impact of patient/disease characteristics and treatment outcomes on treatment satisfaction, a more comprehensive approach examining potentially relevant pretreatment (e.g., age) and during treatment (e.g., side effects) variables is necessary to fully understand factors that exert an influence on shaping treatment satisfaction with treatment in diabetes.</p><p>The IMPROVE study is a multicenter, 26-week, open-labeled, non-randomized and non-interventional observational study of the safety and efficacy of Biphasic Insulin Aspart 30 (NovoMix 30) for the treatment of diabetes in routine practice patients with type 2 diabetes [<xref ref-type="bibr" rid="CR31">31</xref>]. The DiabMedSat was included in the IMPROVE study as it is used to examine the impact of treatment on patient-reported treatment satisfaction, and it is a well validated disease-specific PRO measure designed to assess treatment satisfaction both in persons with type 1 or type 2 diabetes and across multiple treatment modalities (oral, syringe, pen) [<xref ref-type="bibr" rid="CR40">40</xref>, <xref ref-type="bibr" rid="CR41">41</xref>]. This study further examines treatment satisfaction in the IMPROVE study by exploring the influence of the pretreatment factors (age, gender, duration of diabetes, type of prior treatment and diabetes-related comorbidities) and the impact of treatment side effects (weight gain, hypoglycemic events) on both overall treatment satisfaction and on the individual domains of treatment side effects, burden and efficacy in diabetes.</p></sec><sec id="Sec2" sec-type="methods"><title>Methods</title><p>Eligible patients for the analyses presented here were any with type 2 diabetes who needed insulin treatment at the time of inclusion including newly diagnosed patients. Analyses were conducted with all patients who had DiabMedSat data at both baseline and week 26 (end of study treatment) and had been on an identifiable diabetes treatment prior to entering the IMPROVE study. Patients treated only with diet/exercise at baseline were dropped from the analysis and did therefore not complete the questionnaire at baseline.</p><p>The 22-item DiabMedSat assesses three treatment satisfaction domains of Efficacy, Treatment Burden and Symptoms (Side Effects) and Overall treatment satisfaction and has been translated into multiple languages according to well-established principles of translation [<xref ref-type="bibr" rid="CR42">42</xref>]. The measure has been shown to have acceptable reliability, validity and responsiveness [<xref ref-type="bibr" rid="CR41">41</xref>] in patients with diabetes similar to those enrolled in IMPROVE study [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR41">41</xref>]. Valid DiabMedSat observations were obtained from seven countries in the IMPROVE study (Canada, China, India, Italy, Japan, Poland and Russia) and were part of the same data set as reported by Valensi et al. [<xref ref-type="bibr" rid="CR31">31</xref>].</p><p>All statistical tests were two-tailed and conducted with an alpha level of 0.05 as minimal threshold for significance. As the DiabMedSat is intended to be used either as a total score or as independent domains, the testing was conducted for both the total and domain scores. The scope of this analysis was aimed at the assessment of treatment satisfaction regardless of cultural differences; hence, the analyses were conducted on the pooled sample. All analyses conducted were based on an a priori statistical analysis plan (SAP).</p><sec id="Sec3"><title>Prior treatment factors</title><p>Key patient and diabetes-related factors (age, gender, duration of diabetes, prior treatment and diabetic-related comorbidities) that were assessed at baseline and thus existed before treatment start were classified as prior treatment factors. First, the impact of type of pretreatment (defined as orals only, insulin only and insulin plus orals) on TS was examined by comparing the means (ANOVA) of each DiabMedSat domain and overall scores at baseline, week 26 and the change between baseline and week 26 by each pretreatment group. The baseline DiabMedSat assessed treatment satisfaction with treatments prior to the IMPROVE study. Linear regression models, one for each domain and overall score, were then conducted to examine the impact that the key prior treatment factors (age, gender, duration of diabetes, prior treatment, and diabetic-related comorbidities) had on current satisfaction when examined together.</p><p>An exploratory chi-square was performed to examine, on an item level, change from baseline to end of study by pre-study treatment therapy (insulin + OAD, OAD only).</p></sec><sec id="Sec4"><title>Current treatment factors</title><p>To assess treatment satisfaction with current treatment (Biphasic Insulin Aspart 30 (NovoMix 30)), change scores between baseline and week 26 were examined by paired <italic>t</italic>-test comparison and by effect size.</p><p>Linear regression models were then conducted to examine the impact of key current treatment factors (weight gain in kg, hypoglycemic events, achievement of physician-determined HbA1c goal and study treatment group) on treatment satisfaction when examined together.</p><p>A final regression analysis examined the combined impact of all previously identified significant pretreatment and current treatment factors on treatment satisfaction when examined together.</p></sec></sec><sec id="Sec5"><title>Results</title><p>The total IMPROVE data set comprised 19,824 people with type 2 diabetes: 6 were dropped due to incomplete demographics (no age or gender); 1,031 were dropped for not completing the DiabMedSat measure; and 1,299 were dropped due to lack of information on prior treatment. Thus, the analytic data set for the analyses reported here was comprised of 17,488 persons. The average age of the sample was 57.2 years, with a baseline body mass index (BMI) of 26.2 kg/m<sup>2</sup> and most recent HbA1c of 9.2%. The mean length of time with diabetes was 6.9 years. Most of the sub-sample (90.4%) were on oral treatments alone before starting the study; the rest of the sample were on insulin with or without oral treatment. The most common reasons physicians reported for starting patients on treatment were related to improving treatment efficacy (HbA1c, fasting glucose, post-prandial blood glucose) or patient treatment satisfaction. Patients who were dropped were significantly (<italic>P</italic> < 0.001) older (mean age 62.1 vs. 57.2), had a longer duration of diabetes (mean of 13.9 vs. 6.9 years), a lower HbA1c (mean 8.8 vs. 9.2) and a higher BMI (mean 31.6 vs. 26.2) than those in the analytic data set (Table <xref rid="Tab1" ref-type="table">1</xref>).<table-wrap id="Tab1"><label>Table 1</label><caption><p>Demographics data: DiabMedSat sub-sample (<italic>n</italic> = 17,488)</p></caption><table frame="hsides" rules="groups"><tbody><tr><td align="left" colspan="2">Country</td></tr><tr><td align="left"> <italic>N</italic> (%) Canada</td><td char="(" align="char">438 (2.5%)</td></tr><tr><td align="left"> <italic>N</italic> (%) China</td><td char="(" align="char">12,758 (73.0%)</td></tr><tr><td align="left"> <italic>N</italic> (%) India</td><td char="(" align="char">349 (2.0%)</td></tr><tr><td align="left"> <italic>N</italic> (%) Italy</td><td char="(" align="char">33 (0.2%)</td></tr><tr><td align="left"> <italic>N</italic> (%) Japan</td><td char="(" align="char">144 (0.8%)</td></tr><tr><td align="left"> <italic>N</italic> (%) Poland</td><td char="(" align="char">3,186 (18.2%)</td></tr><tr><td align="left"> <italic>N</italic> (%) Russia</td><td char="(" align="char">580 (3.3%)</td></tr><tr><td align="left" colspan="2">Age</td></tr><tr><td align="left"> Mean (SD) (<italic>n</italic> = 17,486)</td><td char="(" align="char">57.2 (12.0) Range 8–99</td></tr><tr><td align="left" colspan="2">Gender</td></tr><tr><td align="left"> <italic>N</italic> (%) Male</td><td char="(" align="char">9,904 (56.6%)</td></tr><tr><td align="left"> <italic>N</italic> (%) Female</td><td char="(" align="char">7,584 (43.4%)</td></tr><tr><td align="left" colspan="2">Body mass index (BMI)</td></tr><tr><td align="left"> Mean (SD) baseline (<italic>n</italic> = 17,483)</td><td char="(" align="char">26.2 (4.8) Range 12.8–66.6</td></tr><tr><td align="left" colspan="2">HbA1c</td></tr><tr><td align="left"> Mean (SD) most recent (<italic>n</italic> = 12,981)</td><td char="(" align="char">9.2 (1.9) Range 4–16</td></tr><tr><td align="left" colspan="2">Diabetes duration (years)</td></tr><tr><td align="left"> Mean (SD) (<italic>n</italic> = 17,481)</td><td char="(" align="char">6.9 (5.2) Range 0–42</td></tr><tr><td align="left" colspan="2">No. of diabetes-related complications</td></tr><tr><td align="left"> Mean (SD) baseline (<italic>n</italic> = 14,302)</td><td char="(" align="char">0.6 (0.5) Range 0–1</td></tr><tr><td align="left" colspan="2">Pre-study therapy</td></tr><tr><td align="left"> <italic>N</italic> (%) OAD (oral anti-diabetics) only</td><td char="(" align="char">15,816 (90.4%)</td></tr><tr><td align="left"> <italic>N</italic> (%) insulin only</td><td char="(" align="char">961 (5.5%)</td></tr><tr><td align="left"> <italic>N</italic> (%) insulin + OAD</td><td char="(" align="char">711 (4.1%)</td></tr><tr><td align="left" colspan="2">Reasons for starting NovoMix 30<sup>a</sup></td></tr><tr><td align="left"> <italic>N</italic> (%) easy start of therapy</td><td char="(" align="char">11,388 (65.1%)</td></tr><tr><td align="left"> <italic>N</italic> (%) easy identification of insulin therapy</td><td char="(" align="char">8,673 (49.6%)</td></tr><tr><td align="left"> <italic>N</italic> (%) to improve HbA1c</td><td char="(" align="char">13,907 (79.5%)</td></tr><tr><td align="left"> <italic>N</italic> (%) to improve FBG</td><td char="(" align="char">14,094 (80.6%)</td></tr><tr><td align="left"> <italic>N</italic> (%) to improve PPBG</td><td char="(" align="char">13,524 (77.3%)</td></tr><tr><td align="left"> <italic>N</italic> (%) reduce risk of hypoglycemia</td><td char="(" align="char">7,138 (40.8%)</td></tr><tr><td align="left"> <italic>N</italic> (%) patient dissatisfaction with previous therapy</td><td char="(" align="char">9,238 (52.8%)</td></tr><tr><td align="left"> <italic>N</italic> (%) side effects from previous therapy</td><td char="(" align="char">3,798 (21.7%)</td></tr><tr><td align="left"> <italic>N</italic> (%) change due to insulin pen</td><td char="(" align="char">1,253 (7.2%)</td></tr><tr><td align="left"> <italic>N</italic> (%) allow for mealtime administration</td><td char="(" align="char">7,610 (43.5%)</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Not mutually exclusive categories</p></table-wrap-foot></table-wrap></p><sec id="Sec6"><title>Prior treatment factors</title><p>The impact of type of prior treatment showed that at baseline greater levels of TS (overall and the three domains) were seen in the cohort using insulin alone. Baseline satisfaction was slightly lower in those taking insulin along with an oral treatment (Insulin + OAD).</p><p>At week 26 of the study, patients previously on Insulin + OAD had a greater satisfaction with treatment efficacy compared to patients on orals alone. There were no differences between type of prior treatment groups in DiabMedSat Overall scores and for the Symptoms and Burden domains.</p><p>When examining the change in satisfaction from baseline to week 26, larger changes were seen in the overall, as well as in every domain, for patients who were previously on an oral treatment either alone or in combination with insulin (Table <xref rid="Tab2" ref-type="table">2</xref>).<table-wrap id="Tab2"><label>Table 2</label><caption><p>Impact of prior treatment (baseline, week 26 and change)</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2" colspan="2"></th><th align="left">1</th><th align="left">2</th><th align="left">3</th><th align="left"></th></tr><tr><th align="left">OAD only</th><th align="left">Insulin only</th><th align="left">Insulin + OAD</th><th align="left">Sig.<sup>a</sup></th></tr></thead><tbody><tr><td align="left" colspan="6">Baseline</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: efficacy</td><td align="left">Mean</td><td char="(" align="char">42.3 (16.8)</td><td char="(" align="char">48.9 (16.5)</td><td char="(" align="char">45.1 (19.7)</td><td char="." align="char" rowspan="2">.000</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,624</td><td char="(" align="char">947</td><td char="(" align="char">707</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: symptoms</td><td align="left">Mean</td><td char="(" align="char">64.2 (20.3)</td><td char="(" align="char">67.6 (18.9)</td><td char="(" align="char">63.2 (20.3)</td><td char="." align="char" rowspan="2">.000<sup>b</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,661</td><td char="(" align="char">950</td><td char="(" align="char">700</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: burden</td><td align="left">Mean</td><td char="(" align="char">63.6 (14.4)</td><td char="(" align="char">63.9 (13.4)</td><td char="(" align="char">59.2 (14.6)</td><td char="." align="char" rowspan="2">.000<sup>c</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,507</td><td char="(" align="char">935</td><td char="(" align="char">698</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: overall</td><td align="left">Mean</td><td char="(" align="char">56.6 (13.1)</td><td char="(" align="char">60.1 (12.8)</td><td char="(" align="char">55.7 (14.5)</td><td char="." align="char" rowspan="2">.000<sup>d</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,816</td><td char="(" align="char">961</td><td char="(" align="char">711</td></tr><tr><td align="left" colspan="6">Week 26</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: efficacy</td><td align="left">Mean</td><td char="(" align="char">71.3 (15.2)</td><td char="(" align="char">72.3 (13.7)</td><td char="(" align="char">73.3 (14.7)</td><td char="." align="char" rowspan="2">.001<sup>e</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,666</td><td char="(" align="char">954</td><td char="(" align="char">703</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: symptoms</td><td align="left">Mean</td><td char="(" align="char">75.2 (15.8)</td><td char="(" align="char">76.0 (14.1)</td><td char="(" align="char">76.0 (14.3)</td><td char="." align="char" rowspan="2">.148</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,678</td><td char="(" align="char">955</td><td char="(" align="char">698</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: burden</td><td align="left">Mean</td><td char="(" align="char">75.7 (14.1)</td><td char="(" align="char">75.9 (14.2)</td><td char="(" align="char">75.1 (14.1)</td><td char="." align="char" rowspan="2">.554</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,549</td><td char="(" align="char">951</td><td char="(" align="char">691</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: overall</td><td align="left">Mean</td><td char="(" align="char">74.0 (11.9)</td><td char="(" align="char">74.8 (11.2)</td><td char="(" align="char">74.8 (11.4)</td><td char="." align="char" rowspan="2">.067</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,797</td><td char="(" align="char">961</td><td char="(" align="char">710</td></tr><tr><td align="left" colspan="6">Change</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: efficacy</td><td align="left">Mean</td><td char="(" align="char">29.0 (22.0)</td><td char="(" align="char">23.4 (19.7)</td><td char="(" align="char">28.4 (23.8)</td><td char="." align="char" rowspan="2">.000<sup>f</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,479</td><td char="(" align="char">940</td><td char="(" align="char">699</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: symptoms</td><td align="left">Mean</td><td char="(" align="char">11.1 (21.0)</td><td char="(" align="char">8.3 (19.4)</td><td char="(" align="char">13.1 (21.3)</td><td char="." align="char" rowspan="2">.000</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,525</td><td char="(" align="char">944</td><td char="(" align="char">688</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: burden</td><td align="left">Mean</td><td char="(" align="char">12.2 (18.0)</td><td char="(" align="char">12.0 (17.5)</td><td char="(" align="char">16.0 (18.9)</td><td char="." align="char" rowspan="2">.000<sup>g</sup></td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,249</td><td char="(" align="char">925</td><td char="(" align="char">679</td></tr><tr><td align="left" rowspan="2"> DiabMedSat: overall</td><td align="left">Mean</td><td char="(" align="char">17.4 (16.0)</td><td char="(" align="char">14.6 (14.7)</td><td char="(" align="char">19.1 (17.3)</td><td char="." align="char" rowspan="2">.000</td></tr><tr><td align="left"><italic>N</italic></td><td char="(" align="char">15,797</td><td char="(" align="char">961</td><td char="(" align="char">710</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Analysis of variance (ANOVA)</p><p><sup>b</sup>Using ANOVA contrasts: column 1 and 3 are not significant (<italic>P</italic> = 0.199)</p><p><sup>c</sup>Using ANOVA contrasts: column 1 and 2 are not significant (<italic>P</italic> = 0.452)</p><p><sup>d</sup>Using ANOVA contrasts: column 1 and 3 are not significant (<italic>P</italic> = 0.092)</p><p><sup>e</sup>Using ANOVA contrasts: column 2 and 3 are not significant (<italic>P</italic> = 0.120)</p><p><sup>f</sup>Using ANOVA contrasts: column 1 and 3 are not significant (<italic>P</italic> = 0.479)</p><p><sup>g</sup>Using ANOVA contrasts: column 1 and 2 are not significant (<italic>P</italic> = 0.710)</p></table-wrap-foot></table-wrap></p><p>Regression analyses examining the combined effect of pretreatment factors (age, gender, duration of diabetes, prior treatment and diabetic-related comorbidities) found that greater age was significantly associated with increased levels of Overall satisfaction and for the Efficacy, and Burden domains of the DiabMedSat. Those patients having diabetes for a longer duration were significantly associated with greater levels of satisfaction with the Burden domain. Subjects on insulin only (pre-study) showed significantly greater levels of satisfaction with the Overall, Efficacy and Symptoms domains of the DiabMedSat. Having diabetes-related comorbidities before entering the study were significantly associated with greater satisfaction with the Symptoms domain and lower levels of satisfaction in the Burden domain (Table <xref rid="Tab3" ref-type="table">3</xref>).<table-wrap id="Tab3"><label>Table 3</label><caption><p>Impact of pre-study variables on satisfaction</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2">Pre-study variables</th><th align="left" colspan="4">DiabMedSat (week 26) (coefficient, <italic>t</italic>-ratio)</th></tr><tr><th align="left">Overall***</th><th align="left">Efficacy**</th><th align="left">Symptoms***</th><th align="left">Burden***</th></tr></thead><tbody><tr><td align="left">Intercept</td><td char="." align="char">72.520 (132.5)***</td><td char="." align="char">70.973 (101.7)***</td><td char="." align="char">74.004 (105.4)***</td><td char="." align="char">72.828 (111.1)***</td></tr><tr><td align="left"> Age (years)</td><td char="." align="char">0.034 (3.8)***</td><td char="." align="char">0.032 (2.8)**</td><td char="." align="char">0.020 (1.7)</td><td char="." align="char">0.047 (4.3)***</td></tr><tr><td align="left"> Gender (Female = 1)</td><td char="." align="char">0.254 (1.2)</td><td char="." align="char">.291 (1.1)</td><td char="." align="char">0.249 (1.0)</td><td char="." align="char">0.267 (1.1)</td></tr><tr><td align="left"> Diabetes duration (years)</td><td char="." align="char">0.016 (0.7)</td><td char="." align="char">−0.033 (−1.2)</td><td char="." align="char">0.009 (0.3)</td><td char="." align="char">0.070 (2.7)**</td></tr><tr><td align="left"> Prior treatment (1 = OAD only) (0 = insulin only)</td><td char="." align="char">−1.171 (−3.8)***</td><td char="." align="char">−1.124 (−2.8)**</td><td char="." align="char">−2.382 (−6.0)***</td><td char="." align="char">0.043 (0.1)</td></tr><tr><td align="left"> Diabetic-related comorbidities (before study) (1 = Yes)</td><td char="." align="char">0.188 (0.9)</td><td char="." align="char">0.092 (0.3)</td><td char="." align="char">1.204 (4.3)***</td><td char="." align="char">−0.670 (−2.6)*</td></tr><tr><td align="left"><italic>F</italic>-stat<sup>a</sup></td><td char="." align="char">8.410***</td><td char="." align="char">3.678**</td><td char="." align="char">14.153***</td><td char="." align="char">8.275***</td></tr></tbody></table><table-wrap-foot><p>* <italic>P</italic> < 0.05; ** <italic>P</italic> < 0.01, *** <italic>P</italic> < 0.001</p><p><sup>a</sup>The <italic>F</italic>-statistic is a hypothesis test that all variables as a group in the model significantly affect the dependent variable</p></table-wrap-foot></table-wrap></p><p>The exploratory chi-square analysis of item level change from baseline to end of study by pre-study treatment revealed that the proportion of patients who were “very or extremely satisfied” (highest improvements on scale) increased significantly from baseline to end of study particularly on questions related to ‘reduce tiredness’, ‘control blood sugar’ and ‘reduce worries about complications’. For patients previously on Insulin ± OADs, these questions, respectively, increased from 12.4, 11.4 and 13.9% at baseline to 47.6, 49.1 and 39.3% after 26 weeks. For patients previously on OADs alone, these questions, respectively, increased from 7.5, 6.9 and 9.3% at baseline to 50.1, 49.7 and 35% after 26 weeks.</p></sec><sec id="Sec7"><title>Current treatment factors</title><p>Examining the impact of current treatment with Biphasic Insulin Aspart 30 (NovoMix 30) found that treatment satisfaction significantly (<italic>P</italic> < 0.001) improved with treatment. Change scores ranged from 11.0 points (Symptoms domain) to 28.7 points (Efficacy domain). Effect size calculations were moderate to high ranging from 0.55 (Symptoms domain) to 1.69 (Efficacy domain) (Table <xref rid="Tab4" ref-type="table">4</xref>).<table-wrap id="Tab4"><label>Table 4</label><caption><p>Impact of current treatment (NovoMix 30) on satisfaction</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left">Total sample</th><th align="left"><italic>n</italic></th><th align="left">Baseline mean (SD)</th><th align="left">Week 26 mean (SD)</th><th align="left">Change score mean (SD)</th><th align="left"><italic>t</italic>-Stat (sig.)</th><th align="left">Effect size<sup>a</sup></th></tr></thead><tbody><tr><td align="left" colspan="7">DiabMedSat</td></tr><tr><td align="left"> Efficacy</td><td char="." align="char">17,118</td><td char="(" align="char">42.8 (16.9)</td><td char="(" align="char">71.5 (15.1)</td><td char="(" align="char">28.7 (21.9)</td><td char="(" align="char">171.0 (.000)</td><td char="." align="char">1.698</td></tr><tr><td align="left"> Symptoms</td><td char="." align="char">17,157</td><td char="(" align="char">64.3 (20.2)</td><td char="(" align="char">75.3 (15.6)</td><td char="(" align="char">11.0 (20.9)</td><td char="(" align="char">68.9 (.000)</td><td char="." align="char">0.545</td></tr><tr><td align="left"> Burden</td><td char="." align="char">16,853</td><td char="(" align="char">63.4 (14.3)</td><td char="(" align="char">75.7 (14.1)</td><td char="(" align="char">12.4 (18.0)</td><td char="(" align="char">88.9 (.000)</td><td char="." align="char">0.867</td></tr><tr><td align="left"> Total</td><td char="." align="char">17,468</td><td char="(" align="char">56.7 (13.2)</td><td char="(" align="char">74.1 (11.9)</td><td char="(" align="char">17.4 (16.0)</td><td char="(" align="char">143.6 (.000)</td><td char="." align="char">1.318</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Effect size, mean change in score divided by the standard deviation of mean baseline score</p></table-wrap-foot></table-wrap></p><p>A regression analysis examining the impact of experiencing treatment side effects (weight gain, minor hypoglycemic events) and patient achievement of physician-determined HbA1c found that weight gain and experiencing minor hypoglycemic events were negatively associated with satisfaction in each of the DiabMedSat domains as well as the total score. Achievement of HbA1c levels was associated with greater satisfaction in Symptoms and Burden domains. Correlations between the DiabMedSat domains and minor hypoglycemic episodes and weight gain were small (0.007–0.055) minimizing the potential multicollinearity in the regression models (Table <xref rid="Tab5" ref-type="table">5</xref>).<table-wrap id="Tab5"><label>Table 5</label><caption><p>Impact of current study treatment variables on satisfaction</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2">During study treatment variables</th><th align="left" colspan="4">DiabMedSat (week 26) (coefficient, <italic>t</italic>-ratio)</th></tr><tr><th align="left">Overall***</th><th align="left">Efficacy***</th><th align="left">Symptoms***</th><th align="left">Burden***</th></tr></thead><tbody><tr><td align="left">Intercept</td><td char="." align="char">76.720 (53.9)***</td><td char="." align="char">69.174 (37.9)***</td><td char="." align="char">80.670 (43.0)***</td><td char="." align="char">79.608 (46.4)***</td></tr><tr><td align="left"> Weight gain (final minus baseline, positive values = gain)</td><td char="." align="char">−0.218 (−8.9)***</td><td char="." align="char">−0.202 (−6.4)***</td><td char="." align="char">−0.341 (−10.5)***</td><td char="." align="char">−0.107 (−3.6)***</td></tr><tr><td align="left"> All minor hypoglycemic events during 4 weeks, final visit</td><td char="." align="char">−0.482 (−5.2)***</td><td char="." align="char">−0.415 (−3.5)***</td><td char="." align="char">−0.603 (−5.0)***</td><td char="." align="char">−0.402 (−3.6)***</td></tr><tr><td align="left"> Achieved physicians level of HbA1c (0 = No)</td><td char="." align="char">−2.453 (−1.7)</td><td char="." align="char">2.435 (1.3)</td><td char="." align="char">−5.203 (−2.8)**</td><td char="." align="char">−3.812 (−2.2)*</td></tr><tr><td align="left"><italic>F</italic>-stat</td><td char="." align="char">37.585***</td><td char="." align="char">18.963***</td><td char="." align="char">48.909***</td><td char="." align="char">10.729***</td></tr></tbody></table><table-wrap-foot><p>* <italic>P</italic> < 0.05; ** <italic>P</italic> < 0.01, *** <italic>P</italic> < 0.001</p></table-wrap-foot></table-wrap></p><p>A final regression analysis examined the combined significant predictors from both the pretreatment and the current treatment analyses. No differences were found when all pretreatment and during treatment factors were examined in combination as when the pretreatment and during treatment variables were examined separately with the exceptions that age dropped significance in Efficacy and reaching the physicians HbA1c goal dropped significance in the Symptom domain.</p></sec></sec><sec id="Sec8"><title>Discussion</title><p>Treatment satisfaction is an important factor in determining the success of treatment in diabetes. This study found that patients who were treated with Biphasic Insulin Aspart 30 (NovoMix 30) reported improved treatment satisfaction after 26 weeks of treatment and that the improvement in treatment satisfaction is large enough to be considered clinically meaningful to patients.</p><p>Treatment satisfaction is a complex concept encompassing not only satisfaction with treatment efficacy but also the burden and side effects of treatment [<xref ref-type="bibr" rid="CR40">40</xref>]. Additionally, as previously suggested, factors that influence treatment satisfaction may vary depending upon the stage of treatment so that certain factors should be considered when starting a patient on a new treatment compared to once a patient has been on a treatment [<xref ref-type="bibr" rid="CR16">16</xref>]. For example, age was shown to have a significant influence on satisfaction with treatment efficacy at study start, however, not after 26 weeks of treatment. Similarly, reaching HbA1c goal was significant after 26 weeks of treatment, but only when prior treatment variables were not taken into account. This suggests that assessing treatment satisfaction should be an ongoing part of a treatment plan in order to fully and currently understand how patients perceive their treatments.</p><p>When interpreting the influence of prior treatment factors, it is possible that response shift, the change in a person’s perception or valuation of a concept over time [<xref ref-type="bibr" rid="CR43">43</xref>] may explain, in part or in full, the finding that duration of disease was significantly related to increased overall satisfaction as well as with treatment efficacy and burden satisfaction. Patients having diabetes longer may accommodate and adapt to their disease and treatment over time thus finding diabetes less difficult to manage.</p><p>This study found that switching from a pretreatment oral medication to injectable insulin did not lower treatment satisfaction or increase treatment burden due to injectable insulin. In fact, patients previously on an oral treatment alone had almost identical scores in satisfaction with amount of treatment burden at week 26 as those who had previously been on insulin (75.7 vs. 75.9) as well as a greater increase in overall treatment satisfaction than those previously on an insulin treatment alone (17.4 vs. 14.6). Additionally, the greatest improvement between oral and insulin was for the Efficacy domain (29.0 vs. 23.4). Efficacy has been shown to be a major driver in determining treatment satisfaction [<xref ref-type="bibr" rid="CR2">2</xref>]. In the DiabMedSat, efficacy items include concepts of keeping blood sugar stable as well as impact on physical and emotional well-being suggesting that for patients, efficacy may be defined more broadly than just HbA1c levels.</p><p>When examining ongoing treatment factors that influence treatment satisfaction, it is clear that the occurrence of side effects is a major issue for patients and impacts treatment satisfaction overall as well as for each domain. In fact, the occurrence of side effects was more important than reaching HbA1c goal in determining treatment satisfaction. The influences of weight gain and major hypoglycemic events on treatment satisfaction have been previously shown [<xref ref-type="bibr" rid="CR44">44</xref>]. The major influence of even minor hypoglycemic events is surprising and is suggestive that more research is needed to fully understand how and at what cost these minor hypoglycemic events have on treatment satisfaction and clinical outcomes.</p><p>It should be noted that there were 12 children (under age 18) included in the analyses and that the influence of the variables of interest on treatment satisfaction on children may differ from adults. Unfortunately, this sub-sample was too small to allow for any meaningful comparisons between children and adults. Also, unexamined in this study are potential differences in findings among countries, which should be examined in future research. Finally, we admit to certain limitations of observational studies which are in contrast to a controlled clinical trial design that examines treatment impact under highly structured and prescribed conditions. Although our data analysis set included about a third of the total global cohort (17,488/52,419, 33.3%), the demographic characteristics and outcomes were very much similar to those of the global cohort reported previously [<xref ref-type="bibr" rid="CR31">31</xref>]. Other limitations of such studies have been discussed at some length previously and include factors such as the heterogeneity of healthcare systems across the participating countries, a lack of control groups for outcome comparison and the potential for patient recall bias during data collection [<xref ref-type="bibr" rid="CR45">45</xref>]. The above factors also complicate the selection of predictor variables for regression analyses. However, given the large sample size, we do consider the analyses quite suggestive and clinically relevant. Observational data does not replace clinical trial data, but rather offers additional effectiveness information in a real-world setting to support clinical trial effectiveness findings. Therefore, these findings may be more generalizable and relevant for a wide spectrum of clinician and treatment settings and provide greater insights into treatment satisfaction for the “average” person with diabetes. Additionally, the significant factors identified here which impact treatment satisfaction are most certainly not the only factors which have an effect, and further research is needed to identify these additional factors.</p></sec><sec id="Sec9"><title>Conclusions</title><p>Patient treatment satisfaction can be a key factor influencing compliance and disease management in diabetes. This study found that patients who were treated with Biphasic Insulin Aspart 30 (NovoMix 30) reported improved treatment satisfaction after 26 weeks of treatment and that the improvement in treatment satisfaction was large enough to be considered clinically meaningful to patients. Factors that influence treatment satisfaction may vary depending upon the stage of treatment.</p></sec></body><back><ack><p>This study was funded by Novo Nordisk.</p><p><bold>Open Access</bold> This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.</p></ack><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Albrecht</surname><given-names>G</given-names></name><name><surname>Hoogstraten</surname><given-names>J</given-names></name></person-group><article-title>Satisfaction as a determinant of compliance</article-title><source>Community Dentistry and Oral Epidemiology</source><year>1998</year><volume>26</volume><issue>2</issue><fpage>139</fpage><lpage>146</lpage><pub-id 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pub-id-type="pmid">18811598</pub-id></mixed-citation></ref></ref-list><glossary><title>Abbreviations</title><def-list><def-list><def-item><term>BMI</term><def><p>Body mass index</p></def></def-item><def-item><term>Insulin + OAD</term><def><p>Those taking insulin along with an oral treatment</p></def></def-item><def-item><term>PRO</term><def><p>Patient-reported outcome</p></def></def-item><def-item><term>TS</term><def><p>Treatment satisfaction</p></def></def-item></def-list></def-list></glossary></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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