Lung cancer screening utilization rate varies based on patient, provider, and hospital factors.

OBJECTIVE: Low-dose computed tomography has been proven to reduce mortality, yet utilization remains low. The purpose of this study is to identify factors that impact the utilization of lung cancer screening. METHODS: We performed a retrospective review of our institution's primary care network from November 2012 to June 2022 to identify patients who were eligible for lung cancer screening. Eligible patients were 55 to 80 years of age and current or former smokers with at least a 30 pack-year history. Analyses were performed on the screened populations and patients who met eligibility criteria but were not screened. RESULTS: A total of 35,279 patients in our primary care network were current/former smokers aged 55 to 80 years. A total of 6731 patients (19%) had a 30 pack-year or more cigarette history, and 11,602 patients (33%) had an unknown pack-year history. A total of 1218 patients received low-dose computed tomography. The utilization rate of low-dose computed tomography was 18%. The utilization rate was significantly lower (9%) if patients with unknown pack-year history were included (P < .001). The utilization rates between primary care clinic locations were significantly different (range, 18% vs 41%, P < .05). Utilization of low-dose computed tomography on multivariate analysis was associated with Black race, former smoker, chronic obstructive pulmonary disease, bronchitis, family history of lung cancer, and number of primary care visits (all P < .05). CONCLUSIONS: Lung cancer screening utilization rates are low and vary significantly on the basis of patient comorbidities, family history of lung cancer, primary care clinic location, and accurate documentation of pack-year cigarette history. The development of programs to address patient, provider, and hospital-level factors is needed to ensure appropriate lung cancer screening.

Pilot Integration of HIV Screening and Healthcare Settings with Multi- Component Social Network and Partner Testing for HIV Detection.

BACKGROUND: Healthcare settings screen broadly for HIV. Public health settings use social network and partner testing ("Transmission Network Targeting (TNT)") to select high-risk individuals based on their contacts. HIV screening and TNT systems are not integrated, and healthcare settings have not implemented TNT. OBJECTIVE: The study aimed to evaluate pilot implementation of multi-component, multi-venue TNT in conjunction with HIV screening by a healthcare setting. METHODS: Our urban, academic health center implemented a TNT program in collaboration with the local health department for five months during 2011. High-risk or HIV positive patients of the infectious diseases clinic and emergency department HIV screening program were recruited to access social and partner networks via compensated peer-referral, testing of companions present with them, and partner notification services. Contacts became the next-generation index cases in a snowball recruitment strategy. RESULTS: The pilot TNT program yielded 485 HIV tests for 482 individuals through eight generations of recruitment with five (1.0%; 95% CI = 0.4%, 2.3%) new diagnoses. Of these, 246 (51.0%; 95% CI = 46.6%, 55.5%) reported that they had not been tested for HIV within the last 12 months and 383 (79.5%; 95% CI = 75.7%, 82.9%) had not been tested by the existing ED screening program within the last five years. CONCLUSION: TNT complements population screening by more directly targeting high-risk individuals and by expanding the population receiving testing. Information from existing healthcare services could be used to seed TNT programs, or TNT could be implemented within healthcare settings. Research evaluating multi-component, multi-venue HIV detection is necessary to maximize complementary approaches while minimizing redundancy.

The long-term impact of a performance improvement continuing medical education intervention on osteoporosis screening.

INTRODUCTION: The purpose of this study is to determine whether a performance improvement continuing medical education (PI CME) initiative that utilizes quality improvement (QI) principles is effective in producing sustainable change in practice to improve the screening of patients at risk for osteoporosis. METHODOLOGY: A health care center participated in a PI CME program designed to increase appropriate osteoporosis screening. There were eight 1-hour educational sessions for this activity over a 9-month period. Thirteen providers completed all 3 stages of the PI CME program. A variety of other clinicians, in addition to the 13 providers, participated in the educational sessions. Data were collected at the beginning and end of the PI CME activity and at three intervals during the 5 years after the completion of the activity. RESULTS: The percentage of tests for osteoporosis ordered and performed increased significantly from Stage A to Stage C of the PI CME activity and continued to increase after the completion of the PI CME activity. Follow-up data at 4 and 40 months (for ordering and performing osteoporosis screening) and 49 months (for performing the screening only) reflect the impact of the PI CME activity plus the continuing QI interventions. The percentage of BMD tests ordered continued to increase substantially over the post-PI CME periods: 4 and 40 months (F(3,46) = 4.04, p < .05). Similarly, the percentage of BMD tests performed continued to increase at 4, 40, and 49 months after the conclusion of the PI CME activity (F(4,55) = 12.55, p < .0001). DISCUSSION: The data indicate that PI CME utilizing QI principles can be effective in producing sustainable change in practice to improve the screening of patients at risk for osteoporosis. Further research is needed to determine the extent to which such changes can be directly attributed to this type of intervention.