Leveraging social media to increase lung cancer screening awareness, knowledge and uptake among high-risk populations (The INSPIRE-Lung Study): study protocol of design and methods of a community-based randomized controlled trial.

Background: Lung cancer is the leading cause of cancer death for both men and women in the United States. The National Lung Screening Trial (NLST) demonstrated that low-dose computed tomography (LDCT) screening can reduce lung cancer mortality among high-risk individuals, but uptake of lung screening remains low. Social media platforms have the potential to reach a large number of people, including those who are at high risk for lung cancer but who may not be aware of or have access to lung screening.

Leveraging social media to increase lung cancer screening awareness, knowledge and uptake among high-risk populations (The INSPIRE-Lung Study): Study protocol of design and methods of a community-based randomized controlled trial.

Lung cancer is the leading cause of cancer death for both men and women in the United States. The National Lung Screening Trial (NLST) demonstrated that low-dose computed tomography (LDCT) screening can reduce lung cancer mortality among high-risk individuals, but uptake of lung screening remains low. Social media platforms have the potential to reach a large number of people, including those who are at high risk for lung cancer but who may not be aware of or have access to lung screening.

Validity of Radiographic Analyses Between Hand-Drawn and Computer- Aided Measurements: A Double-Blinded Test-Retest Trial.

Background: Spinal radiographic analyses are valid and reliable practices used for patient management in healthcare. Technologies and tools used for these analyses need to be valid and reliable.

Objective: This study investigates repeated accuracy for validity and intra- and inter-examiner reliability of computer-aided lateral spinal radiograph measurements using PostureRay EMR software.

Development and assessment of the usability of a web-based referral to treatment tool for persons with substance use disorders.

Background: Hospitalized people with unhealthy substance use should be referred to treatment. Although inpatient referral resources are often available, clinicians report that outpatient referral networks are not well-established. The purpose of this manuscript is to describe the development and usability testing of a web-based Referral to Treatment Tool (RTT © 2020 Trustees of Indiana University, all rights reserved) designed to identify treatment centers for people with unhealthy substance use.