Bridging the Gap: Patient Navigation Increases Colonoscopy Follow-up After Abnormal FIT.

INTRODUCTION: Recent studies indicate low rates of follow-up colonoscopy after abnormal fecal immunochemical testing (FIT) within safety net health systems. A patient navigation (PN) program is an evidence-based strategy that has been shown to improve colonoscopy completion in private and public healthcare settings. The aim of this study was to evaluate the effectiveness of a PN program to encourage follow-up colonoscopy after abnormal FIT within a large safety net hospital system. METHODS: We established an enterprisewide PN program at 5 tertiary care hospitals within the Los Angeles County Department of Health Services system in 2018. The PN assisted adult patients aged 50-75 years with an abnormal FIT to a follow-up colonoscopy within 6 months. PN activities included initiating referral for and scheduling of colonoscopy, performing reminder phone calls to patient for their upcoming colonoscopy, and following up with patients who did not attend their colonoscopy. We assess the effectiveness of the PN intervention by comparing follow-up colonoscopy rates with a period before the intervention. RESULTS: There were 2,531 patients with abnormal FIT results (n = 1,214 in 2017 and n = 1,317 in 2018). A majority were women (55% in 2017 vs 52% in 2018) with a mean age of 60 ± 6.2 years. From a previous mean of 163 days without PN in 2017, the mean time from abnormal FIT to colonoscopy with PN improved to 113 days in 2018. The frequency of colonoscopy completion with PN increased from 40.6% (n = 493) in 2017 to 46% (n = 600) in 2018. DISCUSSION: After the introduction of the PN program, there was a significant increase in patients undergoing follow-up colonoscopy after abnormal FIT and patients were more likely to undergo colonoscopy within the recommended 6 months.

Behavior stages of a physician- and coach-supported cloud-based diabetes prevention program for people with prediabetes.

INTRODUCTION: Centers for Disease Control and Prevention Diabetes Prevention Program recognition requires successful program completion by a cohort of at least five people with prediabetes. Such programs have generally been "in-person" and provided by a qualified coach from a recognized program. A cohort of 10 patients with prediabetes was enrolled in a physician's office to use the cloud-based Type II Diabetes Prevention Module in an effort to achieve recognition. Module use was supported by the physician and a qualified coach. The purpose of this article is to evaluate Module performance relative to behavior stages associated with long-term behavior modification. METHODS: The Module employs a web application supporting diabetes prevention education and a mobile application that is an electronic diary and virtual coach. A dashboard allows an efficient review of user performance and the ability to send users notifications of support from the user's coach or physician. The cohort of 10 patients with prediabetes was offered Module use upon diagnosis of prediabetes. RESULTS: All 10 patients with prediabetes offered Module use agreed participation. Six have completed educational sessions, made diary entries, and have met the 5% Centers for Disease Control and Prevention Diabetes Prevention Program weight loss target prior to 6 months of Module use. This high success rate (60%) is contrary to behavior stages often associated with long-term behavior modification. CONCLUSION: The strength of the physician-patient relationship appears to allow patients with prediabetes to skip or advance rapidly through behavioral stages in the process of lifestyle modification.

Dynamic infrared imaging for the detection of malignancy.

The potential for malignancy detection using dynamic infrared imaging (DIRI) has been investigated in an animal model of human malignancy. Malignancy was apparent in images formed at the vasomotor and cardiogenic frequencies of tumour bearing mice. The observation of malignancy was removed by the administration of an agent that blocks vasodilation caused by nitric oxide (NO). Image patterns similar to those that characterize malignancy could be mimicked in normal mice using an NO producing agent. Apparently DIRI allows for cancer detection in this model through vasodilation caused by malignancy generated NO. Dynamic infrared detection of vasomotor and cardiogenic surface perfusion was validated in human subjects by a comparison with laser Doppler flowmetry (LDF). Dynamic infrared imaging technology was then applied to breast cancer detection. It is shown that dynamic infrared images formed at the vasomotor and cardiogenic frequencies of the normal and malignant breast have image pattern differences, which may allow for breast cancer detection.