Literature DB >> 21226935

Insulin use and persistence in patients with type 2 diabetes adding mealtime insulin to a basal regimen: a retrospective database analysis.

Machaon M Bonafede1, Anupama Kalsekar, Manjiri Pawaskar, Kimberly M Ruiz, Amelito M Torres, Karen R Kelly, Suellen M Curkendall.   

Abstract

BACKGROUND: The objective of this study was to characterize insulin use and examine factors associated with persistence to mealtime insulin among patients with type 2 diabetes (T2D) on stable basal insulin therapy initiating mealtime insulin therapy.
METHODS: Insulin use among patients with T2D initiating mealtime insulin was investigated using Thomson Reuters MarketScan® research databases from July 2001 through September 2006. The first mealtime insulin claim preceded by 6 months with 2 claims for basal insulin was used as the index event. A total of 21 months of continuous health plan enrollment was required. Patients were required to have a second mealtime insulin claim during the 12-month follow-up period. Persistence measure 1 defined non-persistence as the presence of a 90-day gap in mealtime insulin claims, effective the date of the last claim prior to the gap. Persistence measure 2 required 1 claim per quarter to be persistent. Risk factors for non-persistence were assessed using logistic regression.
RESULTS: Patients initiating mealtime insulin (n = 4752; 51% male, mean age = 60.3 years) primarily used vial/syringe (87%) and insulin analogs (60%). Patients filled a median of 2, 3, and 4 mealtime insulin claims at 3, 6, and 12 months, respectively, with a median time of 76 days between refills. According to measure 1, persistence to mealtime insulin was 40.7%, 30.2%, and 19.1% at 3, 6, and 12 months, respectively. Results for measure 2 were considerably higher: 74.3%, 55.3%, and 42.2% of patients were persistent at 3, 6, and 12 months, respectively. Initiating mealtime insulin with human insulin was a risk factor for non-persistence by both measures (OR < 0.80, p < 0.01). Additional predictors of non-persistence at 12 months included elderly age, increased insulin copayment, mental health comorbidity, and polypharmacy (p < 0.05 for all).
CONCLUSIONS: Mealtime insulin use and persistence were both considerably lower than expected, and were significantly lower for human insulin compared to analogs.

Entities:  

Year:  2011        PMID: 21226935      PMCID: PMC3025898          DOI: 10.1186/1472-6823-11-3

Source DB:  PubMed          Journal:  BMC Endocr Disord        ISSN: 1472-6823            Impact factor:   2.763


Background

For many patients with type 2 diabetes, initiation of insulin therapy marks the transition of their diabetes condition into a more severe disease state with the potential for more complications. The goal of type 2 diabetes treatment is to maintain a glycosylated hemoglobin (HbA1c) of < 7%, a goal that has been made easier through advances in insulin types and delivery options [1]. However, significant barriers still remain in physicians' and patients' minds regarding insulin use. The Diabetes Control and Complications Trial showed that patients treated with intensive insulin therapy demonstrated a 3-fold increased risk of a severe hypoglycemia event, a finding that physicians are aware of, according to Meece [2]. This awareness can therefore be a factor in clinical inertia for intensifying insulin therapy when patients are no longer controlled with basal insulin [3,4]. Patient fears regarding possible adverse health consequences associated with intensifying insulin therapy, such as weight gain or hypoglycemia, also factor into adherence to a treatment regimen including mealtime insulin. For most patients, the addition of mealtime insulin also requires insulin administration outside the home, which may have significant lifestyle implications due to public insulin use and inconveniences associated with carrying and storing insulin. Persistence with insulin is often low [5]; 16% to 49% of patients are persistent at 6 to 12 months [5-8]. Research suggests that medication regimen complexity [7] and higher frequency dosing schedules [9,10] are barriers to taking insulin. Thus, several treatment-related factors may be significant barriers to successful long-term treatment for some patients. The primary objective of this study was to describe insulin use among patients adding mealtime insulin to their basal insulin regimen. The secondary objective of this study was to describe persistence to mealtime insulin and determine risk factors for poor persistence with insulin therapy. This study employed a retrospective approach using administrative claims data.

Methods

Two Thomson Reuters MarketScan® research databases were used in this study: the Commercial Claims and Encounters (Commercial) database and the Medicare Supplemental and Coordination of Benefits (Medicare Supplemental) Database. The Commercial database contains the inpatient, outpatient, emergency room, and outpatient prescription drug experience of several million individuals and their dependents in the United States. The overall database includes individuals from over 100 self-insured large employers and health plans. The Medicare Supplemental database contains the healthcare experience of individuals with Medicare supplemental insurance paid for by employers. The methods used in this current study were employed in a similar analysis of insulin naïve patients with type 2 diabetes using the same datasource and study design [11].

Inclusion criteria

Patients were new mealtime insulin initiators between July 1, 2001 and December 31, 2006 (index date). A 6-month pre-period was used to establish new mealtime insulin use, a diagnosis of type 2 diabetes (identified by ICD-9-CM codes), and the presence of stable insulin therapy, as evidenced by having at least 2 claims for a basal insulin therapy in the 6 months preceding the index date. Patients had to be enrolled in a qualified health plan with concurrent continuous pharmacy enrollment for a 21-month period spanning the 6-month pre-index period through the 15-month study period between January 1, 2001 and March 31, 2008. Figure 1 illustrates the study period.
Figure 1

Study Period.

Study Period.

Exclusion criteria

Patients were excluded if they had evidence of gestational diabetes (ICD-9-CM code 648.8×), type 1 diabetes (ICD-9-CM code 250. × 1 or 250. × 3, or DRG 295), or used inhaled insulin or an insulin pump anytime in the observation period. Patients were also excluded if they used an insulin mixture in the post-index period. Patients with only 1 mealtime insulin claim were also excluded from this analysis.

Insulin Use Variables

Index insulin characteristics such as insulin type (human versus analog) and administration (pen versus vial/syringe) were reported. Examples of each insulin type are shown in table 1. Insulin use variables included:
Table 1

Insulin Type Classification

ClassGeneric NameBrand NameType
BasalInsulin Human Isophane (NPH)HUMULIN NNOVOLIN NRELION/NOVOLIN NINSULATARDHuman

BasalInsulin Human Zinc (Lente)HUMULIN LNOVOLIN LHuman

BasalInsulin Human Zinc, Extended (Ultralente)HUMULIN UHuman

BasalInsulin DetemirLEVEMIRAnalog

BasalInsulin Glargine, RecombinantLANTUSAnalog

Insulin MixturesInsulin Human Isophane (NPH)/Insulin Human RegularHUMULIN 50/50HUMULIN 70/30Human

Insulin MixturesInsulin Human Isophane (NPH)/Insulin Human RegularNOVOLIN 70/30RELION NOVOLIN 70/30Human

Insulin MixturesInsulin Lispro/Insulin Lispro ProtamineHUMALOG MIX 50/50HUMALOG MIX 75/25Analog

Insulin MixturesInsulin Aspart/Insulin Aspart ProtamineNOVOLOG MIX 70/30Analog

MealtimeInsulin Aspart, RecombinantNOVOLOGAnalog

MealtimeInsulin GlulisineAPIDRAAnalog

MealtimeInsulin Lispro, RecombinantHUMALOGLISPRO-PFCAnalog

MealtimeInsulin Human RegularHUMULIN RNOVOLIN RRELION/NOVOLIN RHuman

MealtimeInsulin Human Regular, BufferedHUMULIN BRVELOSULIN BRHuman
Insulin Type Classification 1) Number of prescription claims for mealtime insulin at 3, 6, and 12 months 2) Number of prescription claims for basal insulin at 3, 6, and 12 months 3) Average daily insulin supply calculated at 3, 6, and 12 months post-index date by calculating the total insulin supply in ml dispensed and dividing by the number of days in that period. 4) Average time between refills of index insulin 5) Proportion that switched to a different insulin type or administration 6) Presence of a 90-day gap between insulin claims.

Insulin Persistence Measures

This study evaluated persistence with mealtime insulin at 12 months, defined as the time from mealtime insulin initiation to discontinuation. Persistence was evaluated at 12 months by the absence of gaps between refills (measure 1) or the number of refills within a pre-specified period (measure 2). Measure 2 was designed as a more lenient sensitivity analysis to measure 1, which is a standard definition of persistence [12]. Under measure 1, patients were considered persistent at 3 months if they did not have a 90-day gap in index insulin claims that started prior to the end of the third month. Patients were considered persistent at 6 and 12 months if they did not have 90-day gaps prior to the end of the relevant time periods. For example, if a patient had an index claim on January 1 and had refills on March 15, May 1, and July 15 and no others refills, then the patient would be persistent at 6 months (due to no 90-day gaps prior to July 1) but not at 12 months. Measure 2 was defined as follows: • Persistent at 3 months ◦ At least 2 mealtime insulin claims in first 4 months • Persistent at 6 months ◦ At least 3 mealtime insulin claims in first 7 months ▪ At least one mealtime insulin claim in months 1-3, and ▪ At least one mealtime insulin claim in months 4-6 • Persistent at 12 months ◦ At least 4 mealtime insulin claims in first 12 months ▪ At least one mealtime insulin claim in months 1-3, and ▪ At least one mealtime insulin claim in months 4-6, and ▪ At least one mealtime insulin claim in months 7-9, and ▪ At least one mealtime insulin claim in months 10-12 For measure 2, counts of mealtime insulin claims include the index claim. For example, for a patient to be persistent at 3 months, they would need to fill at least 1 additional mealtime insulin claim within 4 months following their index claim. Non-persistence, as determined by these measures, does not imply a permanent discontinuation from insulin and may be a marker for intermittent use. Persistent and non-persistent patients were compared using standard tests of statistical significance. Chi-square tests were used to evaluate the statistical significance of differences for categorical variables; two-tailed t-tests and analysis of variance were used for continuous variables. A series of logistic regression models were used to examine factors associated with being persistent with insulin therapy at 12 months. Factors included age, gender, location, type of insurance, insulin type, insulin administration mode, Deyo Charlson Comorbidity Index [13], presence of hospitalization, presence of emergency room visit, presence of diabetes complications, presence of macrovascular complications, presence of mental health disorders, count of other diabetes medications and average copayment per claim of insulin. An alpha of 0.05 was used for all analyses.

Results

A total of 294,769 patients who had 1 or more mealtime insulin claim were identified during the study period. Of this total, 66,805 (22%) patients had a type 2 diabetes diagnosis and continuous enrollment. Requiring 2 claims of basal insulin in the pre-period brought the sample to 19,668. Evidence of type I diabetes caused 13,184 patients to be excluded. An additional 27 patients were excluded for a diagnosis of gestational diabetes or for using inhaled insulin or an insulin pump. This left a total of 6,457 patients on stable basal insulin who initiated a mealtime insulin regimen. Seven hundred forty-eight (approximately 12%) of those patients were excluded from further analysis because they had a claim for an insulin mixture in the post-index period. Of the remaining 5,709 patients, 957 (14.8%) had a single mealtime claim, leaving 4,752 as the final sample size of patients with 2 or more mealtime insulin claims in the post-index period. Table 2 contains the insulin use characteristics of the study sample. The average time between refills over 12 months was 94.5 days (median: 75.5 days). The majority of the sample (80.9%) had a 90-day gap in the 1-year following initiation of mealtime insulin. The mean time to the start of the 90-day gap was 67.6 days, and the time between the start of the 90-day gap and the next claim was 160.0 days. The majority of patients (86.6%) with a 90-day gap had a claim following the gap. Persistence was 40.7% at 3 months, 30.2% at 6 months, and 19.1% at 12 months using measure 1. Persistence was 74.3% at 3 months, 55.3% at 6 months, and 42.2% at 12 months using measure 2.
Table 2

Insulin Use Characteristics

MeanMedianInterquartile Range
Number of claims: Mealtime

 3 months1.952(1, 2)

 6 months3.113(2, 4)

 12 months5.324(3, 7)

Number of claims: Basal

 3 months1.932(1, 3)

 6 months3.653(2, 5)

 12 months6.956(4, 10)

Number of claims: Total

 3 months3.894(3, 5)

 6 months6.766(4, 9)

 12 months12.2711(8, 15)

Quantity per day (mL): Mealtime

 3 months0.230.22(0.11, 0.33)

 6 months0.190.17(0.11, 0.22)

 12 months0.160.14(0.08, 0.21)

Quantity per day (mL): Basal

 3 months0.220.22(0.11, 0.33)

 6 months0.210.17(0.11, 0.28)

 12 months0.190.16(0.11, 0.27)

Quantity per day (mL): Total

 3 months0.450.44(0.33, 0.56)

 6 months0.390.33(0.28, 0.50)

 12 months0.350.33(0.22, 0.44)

Time between mealtime refills

 12 months94.575.5(48, 116)

Time from index to start of 90-day gap among patients with a 90-day gapN = 3843 (80.9% of total sample)

 12 months67.625(1, 95)

Time between start of 90-day gap and next mealtime script among patients with a mealtime script following a 90-day gapN = 3335 (86.8% of patients with a 90-day gap)

 12 months160.0135(107, 192)
Insulin Use Characteristics In terms of demographics, there were several statistically significant differences between persistent and non-persistent patients; however, several of these differences were not of practical importance. For example, persistent patients were statistically but not substantively younger than non-persistent patients (measure 1: 58.6 versus 60.7, p < 0.0001; measure 2: 59.7 versus 60.8 years, p = 0.0043). There were also numerous statistically significant differences between persistent and non-persistent patients in terms of clinical characteristics. Table 3 contains comparisons of demographic and clinical characteristics stratified by persistence status. The mean Deyo Charlson Comorbidity Index score was lower among persistent patients than non-persistent patients (measure 1: 2.05 versus 2.22, p = 0.015; measure 2: 2.10 versus 2.25, p = 0.004). Persistent patients had lower counts of concomitant diabetes medication classes than non-persistent patients (measure 1: 0.86 versus 1.05 classes, p < 0.0001; measure 2: 0.94 versus 1.07 classes, p < 0.0001). Persistent patients were also less likely than non-persistent patients to have diabetes complications (measure 1: 28.5% versus 32.6%, p = 0.017; measure 2: 29.9% versus 33.2%, p = 0.014), macrovascular complications (measure 1: 48.4% versus 50.7%, p = 0.215; measure 2: 48.5% versus 51.6%, p = 0.037), and mental health disorders (measure 1: 5.6% versus 7.4%, p = 0.056; measure 2: 6.2% versus 7.7%, p = 0.040).
Table 3

Demographic and Clinical Characteristics

Persistence Measure 1Persistence Measure 2Total
PersistentNon-persistentPersistentNon-persistent

N = 909N = 3,843p-valueN = 2,007N = 2,745p-valueN = 4,752

Gender: Female (%)47.8549.150.48147.9849.580.27648.91

Age (mean [SD])58.6 (11.8)60.7 (12.3)<0.000159.7 (12.1)60.8 (12.3)0.004360.3 (12.2)

Age Group (%)

 <180.220.16<0.00010.200.150.0690.17

 18-341.761.431.541.461.49

 35-447.926.486.786.746.76

 45-5426.0722.8524.7622.5123.46

 55-6436.7433.4935.3333.2234.11

 65-7416.9420.6618.7320.8419.95

 75 and older10.3414.9412.6615.0814.06

Location (%)

 Urban77.3480.610.01879.0280.690.09179.99

 Rural22.4418.7920.6318.6519.49

 Unknown0.220.600.350.660.53

Insulin Type- index claim (%)
 Human37.6240.620.09736.9242.33<0.000140.05

 Analog62.3859.3863.0857.6759.95

Insulin Administration- index claim (%)

 Vials and Syringes88.0186.760.31286.7087.210.60186.99

 Pens11.9913.2413.3012.7913.01

Change in Index Insulin

Human vs. Analog Change (%)26.8428.570.29826.4629.540.02028.24

  Mean time to change (SD)52.79 (86.30)57.50 (81.95)0.42156.14 (83.32)56.98 (82.42)0.85656.65 (82.75)

Pen vs. vial/syringe change (%)4.403.540.2164.682.990.0023.70

  Mean time to change (SD)145.1 (107.34)154.13 (109.70)0.646150.64 (113.69)153.73 (103.88)0.85252.08 (108.93)

Insulin Use: 12 months (mean [SD])

Mealtime Insulin Claims9.99 (3.36)4.21 (2.06)<0.00017.90 (3.30)3.43 (1.50)<0.00015.32 (3.28)

Basal Insulin Claims9.64 (4.41)6.32 (3.65)<0.00018.17 (4.24)6.06 (3.60)<0.00016.95 (4.02)

Total Insulin Claims19.63 (6.42)10.53 (4.60)<0.000116.07 (6.42)9.49 (4.13)<0.000112.27 (6.15)

Mealtime Insulin quantity per day (ml)0.30 (0.11)0.13 (0.06)<0.00010.23 (0.10)0.10 (0.05)<0.00010.16 (0.10)

Basal Insulin quantity per day (ml)0.27 (0.13)0.18 (0.10)<0.00010.23 (0.12)0.17 (0.10)<0.00010.19 (0.11)

Total Insulin quantity per day (ml)0.56 (0.19)0.30 (0.13)<0.00010.46 (0.19)0.27 (0.12)<0.00010.35 (0.18)

Days between Mealtime Insulin Claims42.44 (13.68)106.77 (69.27)<0.000158.06 (23.98)121.09 (76.10)<0.000194.47 (67.50)

Concomitant Medications Count

 Diabetes medications0.87 (0.91)1.07 (0.99)<0.00010.95 (0.93)1.09 (1.01)<0.00011.03 (0.98)

 Cardiovascular medications4.07 (2.36)4.23 (2.49)0.0724.25 (2.42)4.17 (2.49)0.2654.20 (2.46)

Copayment Burden

 Total cost of pharmacy claims$6,122 (5657)$5,663 (4567)0.009$6,221 (5310)$5,408 (4355)<0.0001$5,751 (4798)

 Copay per insulin claim$15.68 (12.21)$18.41 (29.82)0.007$16.63 (13.20)$18.81 (34.17)0.007$17.89 (27.37)

Deyo Charlson Comorbidity Index (mean)2.05 (1.76)2.22 (1.82)0.0152.10 (1.73)2.25 (1.86)0.0042.19 (1.81)

Comorbidities (%)

 Diabetes complications28.4932.580.01729.8533.220.01431.80

 Macrovascular complications48.4050.690.21548.4851.550.03750.25

 Any mental health5.617.420.0566.187.720.0407.70

Diabetes-Related Events

 Inpatient Admissions (%)0.551.090.2940.701.200.1240.99

  Mean length of stay4.2 (1.48)7.10 (6.59)0.3377.64 (4.81)6.42 (6.87)0.5506.79 (6.30)

 ER Use (%)0.660.620.9030.750.550.3880.63

Cardiovascular-Related Events

 Inpatient Admissions (%)4.185.540.3815.285.280.6755.28

  Mean length of stay2.87 (3.83)4.56 (6.53)0.1243.57 (3.15)4.83 (7.70)0.1124.30 (6.22)

 ER Use (%)2.092.2%0.7852.142.260.7882.21

Abbreviation: SD = standard deviation; ER = Emergency Room

Demographic and Clinical Characteristics Abbreviation: SD = standard deviation; ER = Emergency Room Persistent patients were less likely than non-persistent patients to use human insulin at index (36.9% versus 42.3%, p < 0.0001) as defined by measure 2. As expected (by definition of persistence), the number of claims and quantity per day was higher among persistent patients, and time between insulin claims was lower among persistent patients, compared to non-persistent patients. The mean total cost of claims was higher among persistent patients than non-persistent patients (measure 1: $6,122.81 versus $5,663.12, p = 0.009; measure 2: $6,220.88 versus $5,407.54, p < 0.0001) while the average copayment per insulin claim was lower (measure 1: $15.68 versus $18.41, p = 0.007; measure 2: $16.63 versus $18.81, p = 0.007).

Multivariate Results: Persistence at 12 months

Multivariate results are summarized in Table 4. Gender was not statistically significantly associated with persistence. Compared to patients 45 to 54 years, those over age 65 were statistically significantly less likely to be persistent at 12 months. Living in a rural location was associated with increased persistence by measure 1 (OR = 1.26 [95% CI: 1.05, 1.52], p = 0.013) but not by measure 2 (OR = 1.12 [95% CI: 0.97, 1.31], p = 0.129). A capitated insurance plan was also not statistically significantly associated with insulin persistence at 12 months.
Table 4

Multivariate Analysis

Logistic Regression
Sample Size (N = 4,752)Persistence at 12 months: Measure 1Persistence at 12 months: Measure 2

OR (95% CI)p-valueOR (95% CI)p-value

Female0.96 (0.83, 1.12)0.620.94 (0.84, 1.06)0.33

Age < 351.04 (0.60, 1.81)0.891.02 (0.64, 1.62)0.94

Age 35-441.06 (0.78, 1.43)0.720.94 (0.73, 1.21)0.62

Age 55-640.96 (0.79, 1.17)0.690.97 (0.83, 1.14)0.70

Age 65-740.73 (0.57, 0.92)0.010.82 (0.68, 0.99)0.03

Age >740.63 (0.48, 0.83)0.000.81 (0.65, 0.99)0.04

Region: North Central0.84 (0.64, 1.10)0.200.85 (0.68, 1.06)0.15

Region: South0.85 (0.65, 1.11)0.240.81 (0.65, 1.01)0.06

Region: West0.80 (0.60, 1.07)0.130.81 (0.64, 1.02)0.07

Region: Unknown0.31 (0.07, 1.33)0.120.42 (0.17, 1.02)0.06

Rural1.26 (1.05, 1.52)0.011.12 (0.97, 1.31)0.13

Capitated Insurance1.18 (0.98, 1.43)0.081.04 (0.89, 1.21)0.62

Index: Human0.80 (0.68, 0.95)0.010.77 (0.67, 0.87)<0.0001

Index: Pen0.86 (0.68, 1.08)0.210.98 (0.82, 1.17)0.79

Deyo Charlson Com. Index0.99 (0.94, 1.04)0.670.97 (0.93, 1.01)0.11

ER Admissions1.13 (0.71, 1.81)0.601.18 (0.82, 1.70)0.37

Inpatient Admissions0.90 (0.62, 1.31)0.580.95 (0.72, 1.26)0.73

Diabetes Complications0.89 (0.74, 1.07)0.220.90 (0.78, 1.04)0.16

Count of OAD Classes0.99 (0.96, 1.03)0.601.04 (1.01, 1.06)0.01

Macrovascular Complications1.03 (0.87, 1.21)0.750.89 (0.78, 1.01)0.08

Mental Health Disorders0.76 (0.55, 1.04)0.080.81 (0.64, 1.02)0.08

Average Copay for Insulin0.99 (0.98, 0.99)<0.00010.99 (0.99, 0.99)<0.0001

Reference Groups: Age 45-54, Region: NorthEast, Non-Capitated Insurance

Abbreviation: Com Inex = Comorbidity Index; OAD = oral antidiabetic agents; OR = odds ratio;

CI = Confidence Interval

Multivariate Analysis Abbreviation: Com Inex = Comorbidity Index; OAD = oral antidiabetic agents; OR = odds ratio; CI = Confidence Interval The use of human insulin was associated with decreased odds by persistence measures 1 and 2 (OR = 0.80 [95% CI: 0.68, 0.95] and 0.77 [95% CI: 0.67, 0.87], p < 0.01 for both). The use of an insulin pen was not statistically significantly associated with persistence at 12 months. None of the clinical characteristics were associated with insulin persistence at 12 months. The count of oral antidiabetic (OAD) agents was statistically significant by measure 2 (OR = 1.04 [95% CI: 1.00, 1.06], p = 0.01), but not by measure 1 (OR = 0.99 [95% CI: 0.96, 1.03], p = 0.601). The average copayment for insulin was a predictor of non-persistence by persistence measures 1 and 2 (OR = 0.99, p < 0.0001 for both).

Discussion

The majority of patients initiating mealtime insulin had a 90-day gap in mealtime insulin claims (81%) during the year following their first mealtime insulin claim. According to Sikka and colleagues, patients filling claims following an allowable gap are still considered non-persistent [14]. However, the presence of a 90-day gap is not a measure of complete discontinuation; 87% of patients with a 90-day gap had a mealtime insulin claim following the gap. Of the 3,843 patients with a 90-day claim gap, nearly half (46.2%) had a gap immediately following their index claim. Using a 90-day gap to define insulin persistence increases the likelihood of falsely classifying persistent patients as non-persistent. According to measure 2, which is more lenient and allows for sizeable gaps between the required number of insulin claims, less than half of patients (42%) were persistent at 12 months. A significant number of patients who met the study inclusion and exclusion criteria (17%) were excluded because they only filled their index mealtime insulin claim. A single mealtime insulin claim may indicate a response to an acute hyperglycemic event and not represent a true intensification of diabetes management. Further investigation of these patients and their reasons for early discontinuation is warranted. Several factors could be related to the findings regarding insulin type (analog versus human) and delivery (pen versus vial/syringe). Previous research has found that a dislike of injections is related to discontinuing insulin use [8], which might imply that insulin pens may have better persistence than vial/syringe due to the somewhat different nature of the injection. However, this study failed to find a statistically significant relationship between insulin pen use and persistence, similar to the findings of Pawaskar and colleague [15]. This finding may be partly due to the availability of products and the study timeframe. At the same time, the greater dosing flexibility may have contributed to the consistent association between analog insulin and increased persistence. This current analysis could not, however, control for provider-related characteristics or preferences that may be related to insulin persistence and the use of human versus analog or pen versus vial/syringe insulin. The finding that higher counts of concomitant diabetes medications were positively associated with insulin persistence is inconsistent with existing literature [10]. This association could be due, in part, to the fact that the use of additional classes of OAD agents are a result of healthcare utilization and monitoring. It is also possible that collinearity between the count of OAD classes and diabetes complications is interfering with the multivariate models. This may explain the change in direction from the univariate to the multivariate results. Caution should be used when interpreting the results of persistency to insulin therapy. There is no validated measure available to measure insulin adherence and persistence. The presence of a claim gap (measure 1) is a commonly used measure for persistency [16]. The original formulation of measure 2 incorporated the current number of claims structure and a requirement of 0.10 mL index insulin per day, on average. Descriptive analyses of the average quantity of insulin per day did not provide a clear, clinically relevant cut-off that did not appear arbitrary. Descriptive analysis also indicated that the number of claims requirement, as opposed to the insulin quantity per day, largely determined persistence status. Both of these reasons support excluding insulin quantity per day from persistence determination. By either measure, non-persistence indicates a significant break in a patient's use of mealtime insulin that is reflected both in time off of therapy and in average daily dose of insulin. Non-persistent patients had an average total daily insulin dose of 0.30 mL (non-persistent by measure 1) and 0.27 mL (non-persistent by measure 2), which included average daily mealtime insulin dose per day of 0.13 mL and 0.10 mL, respectively. While the recommended quantity of mealtime insulin per day differs by patient, these levels are significantly lower than would be expected in a group of patients with adequately managed type 2 diabetes using mealtime insulin [17,18]. The Thomson Reuters MarketScan® research databases are comprised of only adjudicated claims; this minimizes, but not completely removes, the risk of incomplete, missing, or miscoded claims impacting the study findings. Errors present are likely random and independent of the study outcomes and cohorts, further minimizing their potential impact on the study. A related and significant limitation is the lack of records involving services that do not drive a service payment. Lab values (including hemoglobin A1C), patient biometric measures, and a record of free insulin samples are some of the key missing data fields. Further, the database contains very little information regarding physician behavior, training, or patient instructions, making it impossible to investigate or control for physician-level factors, including physician tendencies to prescribe more or less insulin per visit.

Conclusions

In a cohort of patients intensifying their basal insulin therapy with the addition of mealtime insulin, use was lower than expected in terms of quantity per day, number of claims, and persistence. In Addition, persistence to mealtime insulin decreases over time. Persistence to human insulin was considerably lower than the analog insulin. Elderly age, human insulin use, increased average insulin copayment, mental health comorbidity, and polypharmacy were all consistent predictors of poorer persistence with mealtime insulin.

Competing interests

The authors have no competing interests to report. This work was conducted by Thomson Reuters and funded by Eli Lilly. MB, KR and SC are employees of Thomson Reuters. AT was an employee of Thomson Reuters at the time the work was conducted. MP and KK are employees of Eli Lilly. AK was an employee of Eli Lilly at the time the work was conducted.

Authors' contributions

All of the authors contributed to the study design, data interpretation, and discussion of study results. All authors approve of this manuscript and were active participants throughout the life of the study. MB was the principal investigator for the study. AK and MP developed the study concept and research questions. KK provided insight on the clinical relevance and appropriateness of the research questions and results. LT and KR constructed the analytic file used for the study, operationalizing study concepts and linking them to specific research questions. SC provided senior oversight and quality assurance. All of the authors read and approve of the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6823/11/3/prepub
  18 in total

1.  Predictors of persistence of use of the novel antidiabetic agent acarbose.

Authors:  V S Catalan; J A Couture; J LeLorier
Journal:  Arch Intern Med       Date:  2001-04-23

2.  Impact of dosage frequency on patient compliance.

Authors:  A H Paes; A Bakker; C J Soe-Agnie
Journal:  Diabetes Care       Date:  1997-10       Impact factor: 19.112

3.  Standards of medical care in diabetes--2008.

Authors: 
Journal:  Diabetes Care       Date:  2008-01       Impact factor: 19.112

4.  Patient compliance and persistence with antihyperglycemic drug regimens: evaluation of a medicaid patient population with type 2 diabetes mellitus.

Authors:  G Dailey; M S Kim; J F Lian
Journal:  Clin Ther       Date:  2001-08       Impact factor: 3.393

5.  A retrospective database analysis of insulin use patterns in insulin-naïve patients with type 2 diabetes initiating basal insulin or mixtures.

Authors:  Machaon M K Bonafede; Anupama Kalsekar; Manjiri Pawaskar; Kimberly M Ruiz; Amelito M Torres; Karen R Kelly; Suellen M Curkendall
Journal:  Patient Prefer Adherence       Date:  2010-06-24       Impact factor: 2.711

6.  Insulin therapy for type 2 diabetes: rescue, augmentation, and replacement of beta-cell function.

Authors:  Jennifer A Mayfield; Russell D White
Journal:  Am Fam Physician       Date:  2004-08-01       Impact factor: 3.292

Review 7.  The underuse of insulin therapy in North America.

Authors:  Matthew C Riddle
Journal:  Diabetes Metab Res Rev       Date:  2002 Sep-Oct       Impact factor: 4.876

8.  Health care costs and medication adherence associated with initiation of insulin pen therapy in Medicaid-enrolled patients with type 2 diabetes: a retrospective database analysis.

Authors:  Manjiri D Pawaskar; Fabian T Camacho; Roger T Anderson; David Cobden; Ashish V Joshi; Rajesh Balkrishnan
Journal:  Clin Ther       Date:  2007-06       Impact factor: 3.393

9.  Patient characteristics, drug adherence patterns, and hypoglycemia costs for patients with type 2 diabetes mellitus newly initiated on exenatide or insulin glargine.

Authors:  Rosalind Fabunmi; Loretta L Nielsen; Ralph Quimbo; Brock Schroeder; Derek Misurski; Matthew Wintle; Ron Wade
Journal:  Curr Med Res Opin       Date:  2009-03       Impact factor: 2.580

Review 10.  Medication taking and diabetes: a systematic review of the literature.

Authors:  Peggy Soule Odegard; Kam Capoccia
Journal:  Diabetes Educ       Date:  2007 Nov-Dec       Impact factor: 2.140

View more
  12 in total

Review 1.  What can we learn from patient-reported outcomes of insulin pen devices?

Authors:  Barbara J Anderson; Maria J Redondo
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

2.  Adherence to Insulin Pen Therapy Is Associated with Reduction in Healthcare Costs Among Patients with Type 2 Diabetes Mellitus.

Authors:  Arthi Chandran; Machaon K Bonafede; Sonali Nigam; Rita Saltiel-Berzin; Laurence J Hirsch; Betsy J Lahue
Journal:  Am Health Drug Benefits       Date:  2015-05

3.  Persistence with rapid-acting insulin and its association with A1C level and severe hypoglycemia among elderly patients with type 2 diabetes.

Authors:  Usha Sambamoorthi; Rahul Garg; Arijita Deb; Tao Fan; Anders Boss
Journal:  Curr Med Res Opin       Date:  2017-05-19       Impact factor: 2.580

4.  Key Features of Insulin Delivery Devices for Type 2 Diabetes: Type 2.0 Booth Survey.

Authors:  David Sze; Teresa Oliveria
Journal:  Clin Diabetes       Date:  2020-01

5.  Treatment Patterns, Adherence, and Persistence Associated With Human Regular U-500 Insulin: A Real-World Evidence Study.

Authors:  Jieling Chen; Christi Y Kao; Xuanyao He; Ludi Fan; Jeffrey A Jackson; Rattan Juneja
Journal:  Diabetes Spectr       Date:  2020-08

Review 6.  Identifying and meeting the challenges of insulin therapy in type 2 diabetes.

Authors:  Christopher Sorli; Michael K Heile
Journal:  J Multidiscip Healthc       Date:  2014-07-02

7.  Rapid Acting Insulin Use and Persistence among Elderly Type 2 Diabetes Patients Adding RAI to Oral Antidiabetes Drug Regimens.

Authors:  Usha Sambamoorthi; Arijita Deb; Steve Zhou; Rahul Garg; Tao Fan; Anders Boss
Journal:  J Diabetes Res       Date:  2016-09-28       Impact factor: 4.011

8.  Insulin adherence and persistence among Chinese patients with type 2 diabetes: a retrospective database analysis.

Authors:  Xiaoning He; Liming Chen; Ke Wang; Haiya Wu; Jing Wu
Journal:  Patient Prefer Adherence       Date:  2017-02-13       Impact factor: 2.711

9.  A real-world study of treatment patterns and outcomes in US managed-care patients with type 2 Diabetes initiating injectable therapies.

Authors:  Wenhui Wei; Erin Buysman; Michael Grabner; Lin Xie; Lee Brekke; Xuehua Ke; James W Chu; Philip A Levin
Journal:  Diabetes Obes Metab       Date:  2017-01-20       Impact factor: 6.577

10.  Clinical Benefits Over Time Associated with Use of V-Go Wearable Insulin Delivery Device in Adult Patients with Diabetes: A Retrospective Analysis.

Authors:  David Sutton; Charissa D Higdon; Carla Nikkel; Karrie A Hilsinger
Journal:  Adv Ther       Date:  2018-05-10       Impact factor: 3.845

View more

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