A survey of physician experience and treatment satisfaction using fast-acting insulin aspart in people with type 1 or type 2 diabetes.


Journal

Postgraduate medicine
ISSN: 1941-9260
Titre abrégé: Postgrad Med
Pays: England
ID NLM: 0401147

Informations de publication

Date de publication:
May 2020
Historique:
pubmed: 21 4 2020
medline: 4 8 2020
entrez: 21 4 2020
Statut: ppublish

Résumé

This survey aimed to explore real-world physician experiences and treatment satisfaction with fast-acting insulin aspart (faster aspart) in clinical practice across Europe and Canada. An online web-based survey was used for physicians treating people with type 1 or type 2 diabetes. General practitioners and specialists, with experience using faster aspart, were interviewed. A total of 191 physicians participated in the survey. Most of their patients (68% of those with T1D and 63% of those with T2D) were previously treated with another mealtime insulin before switching to faster aspart. At the time of initiating faster aspart, nearly half of patients had an HbA The findings of this survey are based heavily on physicians' experiences, and could therefore be subject to recall bias. Reported physician and patient experiences of using faster aspart have been positive, and better PPG control and increased dosing flexibility are expected to improve glycemic management.

Identifiants

pubmed: 32306819
doi: 10.1080/00325481.2020.1750181
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0
Hypoglycemic Agents 0
Insulin Aspart D933668QVX

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

320-327

Auteurs

Ankita Baru (A)

Global Primary Intelligence, IQVIA , Rotkreuz, Switzerland.

Sadaf Amir (S)

Primary Intelligence, IQVIA , Gurgaon, India.

Magnus Ekelund (M)

M&S, Insulin and Digital Health , Søborg, Denmark.

Roberta Montagnoli (R)

Region Europe HEOR, Novo Nordisk , Rome, Italy.

João Diogo Da Rocha Fernandes (JD)

Real World Evidence, Global Patient Access , Søborg, Denmark.

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Classifications MeSH