A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 143

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 994
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3134
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

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

Technology-Assisted Self-Selection of Candidates for Nonprescription Statin Therapy. | LitMetric

AI Article Synopsis

  • Statins can reduce heart-related health issues, but only about half of those who need them actually receive them; improving access to these medications could benefit public health significantly.
  • This study evaluated how well participants' self-assessment for statin eligibility matched with clinician evaluations using a web application designed to determine if someone should use rosuvastatin.
  • Results showed a high agreement (96.2%) between participant and clinician assessments, indicating that technology-assisted self-selection for statin therapy is effective, although some incorrect selections were noted.

Article Abstract

Background: Although statins reduce cardiovascular morbidity and mortality, only about one-half of eligible patients receive treatment. Safe and appropriate consumer access to statins could have a significant positive public health impact.

Objectives: This study compares the concordance between a participant and clinician assessment of eligibility for statin therapy using a technology-assisted approach.

Methods: A total of 500 participants, 83 with limited literacy, completed an at-home Web-based application to assess appropriateness for treatment with rosuvastatin 5 mg. The Web application is designed to assess eligibility for a moderate-intensity statin based on current guidelines and deny access to individuals with contraindications to rosuvastatin. Subsequently, participants visited a research site where clinicians, blinded to the information the participant entered, performed an independent Web application assessment. The Web application is programmed for 1 of 3 rosuvastatin treatment outcomes: "OK to use," "not right for you," or "ask a doctor." The primary endpoint was the percent of participants whose self-selected eligibility for nonprescription rosuvastatin was concordant with clinician assessment.

Results: For the primary endpoint, participant selection for statin therapy was concordant with clinician selection in 481 (96.2%) of 500 participants (95% confidence interval: 94.1%-97.7%), of whom 23 (4.6%) were deemed appropriate and 458 (91.6%) were deemed inappropriate for treatment. Discordance was due to incorrect self-selection ("OK to use") in 3 cases, incorrect rejection ("not right for you") in 14 cases and an incorrect "ask a doctor" outcome in 2 cases.

Conclusions: The use of a technology-assisted approach to consumer self-selection for statin therapy resulted in participant self-selection that showed substantial agreement with clinician selection.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jacc.2021.06.048DOI Listing

Publication Analysis

Top Keywords

statin therapy
12
web application
12
500 participants
8
"ok use"
8
"not you"
8
"ask doctor"
8
primary endpoint
8
concordant clinician
8
clinician selection
8
cases incorrect
8

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!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: