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This study examines the impact of social insurance benefit restrictions on physician behaviour, using ophthalmologists as a case study. We examine whether ophthalmologists use their market power to alter their fees and rebates across services to compensate for potential policy-induced income losses. The results show that ophthalmologists substantially reduced their fees and rebates for services directly targeted by the benefit restriction compared to other medical specialists' fees and rebates. There is also some evidence that they increased their fees for services that were not targeted. High-fee charging ophthalmologists exhibited larger fee and rebate responses while the low-fee charging group raise their rebates to match the reference price provided by the policy environment.
Asunto(s)
Oftalmología , Médicos , Humanos , Estados Unidos , Beneficios del Seguro , Honorarios Médicos , Honorarios y PreciosRESUMEN
INTRODUCTION: Ultrasound-guided peripheral IV catheter (USGIV) insertion is as an effective procedure to establish access in patients with difficult intravenous access (DIVA), a condition frequently encountered in the Emergency Department (ED). This study describes a DIVA quality improvement program focusing on rapid identification of DIVA patients and emergency nurse USGIV training and evaluates its impact on overall frequency of USGIV use and process measures related to quality of patient care. METHODS: This is a retrospective cohort study of patients over 18 years of age, presenting to a single, tertiary care hospital between September 1, 2018 and September 30, 2020. Difference-in-difference analysis was used to compare ED process measures pre- and post-implementation of the DIVA Program, and multivariate logistic regression was used to identify associations between patient characteristics and difficult IV access. RESULTS: The frequency of ED encounters associated with USGIV placement more than doubled post-implementation of the DIVA Program, rising from 606 to 1323. There were improved covariate-adjusted time estimates of core ED process measures for encounters associated with USGIV placement post-implementation, including decreases in time to CT with contrast from 4.8 h (95% CI = 4.4-5.2) to 4.1 h (95% CI = 3.8-4.4), pain medications from 2.4 h (95% CI = 2.1-2.6) to 1.8 h (95% CI = 1.6-2.0), IV antibiotics from 3.0 h (95% CI = 2.4-3.7) to 2.1 h (95% CI = 1.5-2.6), and ED length of stay from 6.4 h (95% CI = 6.2-6.6) to 6.0 h (95% CI = 5.9-6.2). CONCLUSION: A nurse-focused quality improvement program focused on teaching and promoting USGIV as a modality for managing difficult IV access was associated with increases in USGIV placement and improvements in core process measures related to quality of patient care.
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Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual's response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testing, few studies have investigated effects of a physician-directed program to optimize chronic disease using genomics-based precision medicine. We performed an pilot, observational cohort study to evaluate effects of the Wild Health program, a physician and health coach service offering genomics-based lifestyle and medical interventions, on biomarkers indicative of chronic disease. 871 patients underwent genomic testing, biomarker testing, and ongoing health coaching after initial medical consultation by a physician. Improvements in several clinically relevant out-of-range biomarkers at baseline were identified in a large proportion of patients treated through lifestyle intervention without the use of prescription medication. Notably, normalization of several biomarkers associated with chronic disease occurred in 47.5% (hemoglobin A1c [HbA1c]), 33.3% (low density lipoprotein particle number [LDL-P]), and 33.2% (C-reactive protein [CRP]). However, due to the inherent limitations of our observational study design and use of retrospective data, ongoing work will be crucial for continuing to shed light on the effectiveness of physician-led, genomics-based lifestyle coaching programs. Future studies would benefit from implementing a randomized controlled study design, tracking specific interventions, and evaluating physiological data, such as BMI.
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Equity is one of the key goals of universal healthcare coverage (UHC). Achieving this goal does not just depend on the presence of UHC, but also on its design and organisation. In Australia, out-of-hospital medical services are provided by private physicians in a market where fees are unregulated. This makes an interesting case to study equity. Using data from the Australian National Health Survey of 2014-15, we distinguish between the probability of any visit and the number of visits conditional on having any visit to analyse income-related inequity in general practitioner (GP) and specialist visits. We apply the horizontal inequity approach to measure the extent of inequity, and the decomposition method to explain the factors accounting for inequity. Our results show a small pro-rich inequity in the probability of any GP visit, but the distribution of conditional GP visits was concentrated among the poor. Inequity in the probability of any specialist visit was pro-rich. However, there was almost no inequity in conditional specialist visits. We find holding a concession card explained pro-poor inequity while income, education, and private health insurance contributed to pro-rich inequity in specialist visits. Although Australia has a universal health insurance system, there is unequal use (adjusted for health need) of physician services by socioeconomic status. This has implications for insurance design in other countries.