| Title |
Impact of telephonic interviews on persistence and daily adherence to insulin treatment in insulin-naïve type 2 diabetes patients: dropout study
|
|---|---|
| Published in |
Patient preference and adherence, May 2016
|
| DOI | 10.2147/ppa.s100626 |
| Pubmed ID | |
| Authors |
Dilek Gogas Yavuz, Habip Bilen, Seda Sancak, Tayfun Garip, Zeliha Hekimsoy, Ibrahim Sahin, Murat Yilmaz, Hasan Aydin, Aysegul Atmaca, Murat Sert, Pinar Karakaya, Dilek Arpaci, Aytekin Oguz, Nilgun Guvener |
| Abstract |
The objective of this study is to evaluate the impact of sequential telephonic interviews on treatment persistence and daily adherence to insulin injections among insulin-naïve type 2 diabetes patients initiated on different insulin regimens in a 3-month period. A total of 1,456 insulin-naïve patients with type 2 diabetes (mean [standard deviation, SD] age: 56.0 [12.0] years, 49.1% were females) initiated on insulin therapy and consecutively randomized to sequential (n=733) and single (n=723) telephonic interview groups were included. Data on insulin treatment and self-reported blood glucose values were obtained via telephone interview. Logistic regression analysis was performed for factors predicting increased likelihood of persistence and skipping an injection. Overall, 76.8% patients (83.2% in sequential vs 70.3% in single interview group, (P<0.001) remained on insulin treatment at the third month. Significantly higher rate for skipping doses was noted in basal bolus than in other regimens (27.0% vs 15.0% for premixed and 15.8% basal insulin, respectively, P<0.0001). Logistic regression analysis revealed sequential telephonic interview (odds ratio [OR], 1.531; 95% confidence interval [CI], 1.093-2.143; P=0.013), higher hemoglobin A1c levels (OR, 1.090; 95% CI, 0.999-1.189; P=0.049), and less negative appraisal of insulin therapy as significant predictors of higher persistence. Basal bolus regimen (OR, 1.583; 95% CI, 1.011-2.479; P=0.045) and higher hemoglobin A1c levels (OR, 1.114; 95% CI, 1.028-1.207; P=0.008) were the significant predictors of increased likelihood of skipping an injection. Our findings revealed positive influence of sequential telephonic interview, although including no intervention in treatment, on achieving better treatment persistence in type 2 diabetes patients initiating insulin. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 5 | 14% |
| Other | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Social Sciences | 3 | 8% |
| Psychology | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2016.
All research outputs
#16,784,715
of 25,461,852 outputs
Outputs from Patient preference and adherence
#1,002
of 1,764 outputs
Outputs of similar age
#181,880
of 312,061 outputs
Outputs of similar age from Patient preference and adherence
#43
of 71 outputs
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