Evidence map›Paper›PMID 27274207›Full record

ArticlePatient preference and adherence2016

Impact of telephonic interviews on persistence and daily adherence to insulin treatment in insulin-naïve type 2 diabetes patients: dropout study.

Dilek Gogas Yavuz, Habip Bilen, Seda Sancak, Tayfun Garip, Zeliha Hekimsoy, Ibrahim Sahin, Murat Yilmaz, Hasan Aydin, Aysegul Atmaca, Murat Sert and 4 more

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 11 institutions in 1 country.

Dilek Gogas YavuzDepartment of Endocrinology and Metabolism, Marmara University Faculty of Medicine, Istanbul, Turkey.
Habip BilenDepartment of Endocrinology and Metabolism, Ataturk University Faculty of Medicine, Erzurum, Turkey.
Seda SancakClinic of Endocrinology and Metabolism, Fatih Sultan Mehmet Training and Research Hospital, Istanbul, Turkey.
Tayfun GaripClinic of Endocrinology and Metabolism, Sakarya State Hospital, Sakarya, Turkey.
Zeliha HekimsoyDepartment of Endocrinology and Metabolism, Celal Bayar University Faculty of Medicine, Manisa, Turkey.
Ibrahim SahinDepartment of Endocrinology and Metabolism, Inonu University Faculty of Medicine, Malatya, Turkey.
Murat YilmazDepartment of Endocrinology and Metabolism, Namık Kemal University Faculty of Medicine, Tekirdag, Turkey.
Hasan AydinDepartment of Endocrinology and Metabolism, Yeditepe University Faculty of Medicine, Istanbul, Turkey.
Aysegul AtmacaDepartment of Endocrinology and Metabolism, Ondokuzmayıs University Faculty of Medicine, Samsun, Turkey.
Murat SertDepartment of Endocrinology and Metabolism, Cukurova University Faculty of Medicine, Adana, Turkey.
Pinar KarakayaClinic of Endocrinology and Metabolism, Bakırkoy Training and Research Hospital, Istanbul, Turkey.
Dilek ArpaciClinic of Endocrinology and Metabolism, Sakarya State Hospital, Sakarya, Turkey.
Aytekin OguzDepartment of Internal Medicine, Medeniyet University Faculty of Medicine, Istanbul, Turkey.
Nilgun GuvenerDepartment of Endocrinology and Metabolism, Baskent University Faculty of Medicine, Istanbul, Turkey.
Namık Kemal University · TRAtatürk University · TRBakırköy Psychiatric Hospital · TRBaşkent University · TRFatih Sultan Mehmet Eğitim Ve Araştırma Hastanesi · TRIstanbul Medeniyet University · TRManisa Celal Bayar University · TRMarmara University · TROndokuz Mayıs University · TRSakarya Eğitim ve Araştırma Hastanesi · TRYeditepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsA 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.

resultsOverall, 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.

conclusionOur 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.

Indexed as

HbA1cinsulin analogsself-monitoring of blood glucosetype 2 diabetes

Identifiers

PMID27274207
PMCPMC4876103
OpenAlexW2406028667

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.