A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Understanding suboptimal insulin use in type 1 and 2 diabetes: a cross-sectional survey of healthcare providers who treat people with diabetes. | LitMetric

AI Article Synopsis

  • The study aimed to understand healthcare providers' (HCPs) views on the frequency of suboptimal insulin dosing in people with diabetes (PwD) and to identify challenges and solutions related to insulin management.
  • An online survey of 640 HCPs from Germany, Spain, the UK, and the US revealed that most believed fewer than 30% of PwD missed insulin doses in the past month, with common reasons being forgetting, being too distracted, or breaking routine.
  • HCPs recognized the need for improved communication and the use of digital technology as potential strategies to enhance insulin dosing practices among PwD, emphasizing the importance of better data and communication for optimizing treatment outcomes.

Article Abstract

Background: The purpose of this study was to understand the healthcare provider (HCP) perspective on the extent of suboptimal insulin dosing in people with diabetes (PwD), as well as specific challenges and solutions to insulin management.

Methods: An online survey of general practitioners and specialists (N = 640) who treat PwD in Germany, Spain, the United Kingdom, and the United States was conducted. Responses regarding HCP background and their patients, HCP perceptions of suboptimal insulin use, and challenges associated with optimal insulin use were collected. Categorical summary statistics were presented.

Results: Overall, for type 1 diabetes (T1D) and type 2 diabetes (T2D), most physicians indicated < 30% of PwD missed or skipped a bolus insulin dose in the last 30 days (T1D: 83.0%; T2D: 74.1%). The top 3 reasons (other than skipping a meal) HCPs believed caused the PwD to miss or skip insulin doses included they "forgot," (bolus: 75.0%; basal: 67.5%) "were too busy/distracted," (bolus: 58.8%; basal: 48.3%), and "were out of their normal routine" (bolus: 57.8%; basal: 48.6%). HCPs reported similar reasons that they believed caused PwD to mistime insulin doses. Digital technology and improved HCP-PwD communication were potential solutions identified by HCPs to optimize insulin dosing in PwD.

Conclusions: Other studies have shown that PwD frequently experience suboptimal insulin dosing. Conversely, results from this study showed that HCPs believe suboptimal insulin dosing among PwD is limited in frequency. While no direct comparisons were made in this study, this apparent discrepancy could lead to difficulties in HCPs giving PwD the best advice on optimal insulin management. Approaches such as improving the objectivity of dose measurements for both PwD and HCPs may improve associated communications and help reduce suboptimal insulin dosing, thus enhancing treatment outcomes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11034124PMC
http://dx.doi.org/10.1186/s12875-024-02390-9DOI Listing

Publication Analysis

Top Keywords

suboptimal insulin
12
type diabetes
12
people diabetes
8
insulin
5
diabetes
5
understanding suboptimal
4
insulin type
4
diabetes cross-sectional
4
cross-sectional survey
4
survey healthcare
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!