Objective: To compare healthcare resource utilization and healthcare costs in patients with migraine with or without a history of misdiagnosis.
Background: Despite the high prevalence of migraine, migraine is commonly misdiagnosed. The healthcare resource use and cost burden of a misdiagnosis is unknown.
Methods: This retrospective cohort study identified adults with an incident migraine diagnosis from the Merative™ Marketscan® Commercial and Medicare Supplemental Databases between June 2018 and 2019. Patients with a diagnosis of commonly considered misdiagnoses (headache, sinusitis, or cervical pain) before their migraine diagnosis were classified as the "misdiagnosed cohort." Patients in the misdiagnosed cohort were potentially misdiagnosed, then eventually received a correct diagnosis. Patients without a history of commonly considered misdiagnoses prior to their migraine diagnosis were classified as the "correctly diagnosed cohort." Healthcare resource utilization and healthcare costs were assessed in the period before migraine diagnosis and compared between the cohorts. Outcomes were reported as per patient per month and compared with incidence rate ratios.
Results: A total of 29,147 patients comprised the correctly diagnosed cohort and 3841 patients comprised the misdiagnosed cohort and met the inclusion criteria. Patients in the misdiagnosed cohort had statistically significantly higher rates of inpatient admissions (0.02 vs. 0.01, incidence rate ratio [IRR] 1.61, 95% confidence interval [CI] 1.47-1.74), emergency department visits (0.10 vs. 0.05; IRR 1.89, 95% CI 1.79-1.99), neurologist visits (0.12 vs. 0.02; IRR 5.95, 95% CI 5.40-6.57), non-neurologist outpatient visits (2.64 vs. 1.58; IRR 1.67, 95% CI 1.62-1.72) and prescription fills (2.82 vs. 1.84; IRR 1.53, 95% CI 1.48-1.58) compared to correctly diagnosed patients. Misdiagnosed patients had statistically significantly higher rates of healthcare cost accrual for inpatient admissions ($1362 vs. $518; IRR 2.62, 95% CI 2.50-2.75), emergency department visits ($222 vs. $98; IRR 2.27, 95% CI 2.18-2.36), neurologist visits ($42 vs. $9; IRR 4.39, 95% CI 4.00-4.79), non-neurologist outpatient visits ($1327 vs. $641; IRR 2.07, 95% CI 1.91-2.24), and prescription fills ($305 vs. $215; IRR 1.41, 95% CI 1.18-1.70) compared to correctly diagnosed patients.
Conclusion: Patients with migraine who have a history of misdiagnoses have higher rates of healthcare resource utilization and cost accrual versus those without such history.
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http://dx.doi.org/10.1111/head.14822 | DOI Listing |
JAMA
January 2025
Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT, Washington, DC.
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision.
View Article and Find Full Text PDFUltrasound Obstet Gynecol
January 2025
Discipline of Obstetrics, Gynaecology and Neonatology, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Objective: To assess the performance of the Fetal Medicine Foundation (FMF) first-trimester competing-risks screening model for small-for-gestational-age (SGA) fetuses requiring delivery at < 37 weeks' gestation, in a large cohort of women receiving maternity care in Australia.
Methods: This was a retrospective analysis of prospectively collected data from a cohort of women attending one of two private multicenter fetal medicine practices for first-trimester screening for preterm pre-eclampsia (PE), defined as PE requiring delivery before 37 weeks' gestation. Risk for preterm SGA, defined as SGA requiring delivery before 37 weeks, was calculated but was not disclosed to the patient or referring physician.
FASEB J
January 2025
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.
View Article and Find Full Text PDFDiabet Med
January 2025
Usher Institute, Medical School, University of Edinburgh, Edinburgh, UK.
Background: Trials conducted in highly selected populations have shown that type 2 diabetes (T2D) remission is possible, but the feasibility and acceptability of supporting remission in routine clinical practice remain uncertain.
Aim: We explored primary care professionals' perceptions and understandings of T2D remission and their views about supporting remission within routine clinical care.
Methods: Semi-structured interviews were conducted with 14 GPs and nine nurses working in Scottish general practices.
Implement Sci Commun
January 2025
Center for Health Equity Research, School of Medicine, University of North Carolina at Chapel Hill, 333 South Columbia Street, MacNider Hall Ste 323, Chapel Hill, NC, 27599, USA.
Background: African Americans experience cardiovascular disease (CVD) disparities, and the burden is greatest in the rural south. Although evidence-based CVD prevention and management programs have been tailored to this context, implementation has been limited and not sustained long-term. To understand how to implement and sustain evidence-based CVD programs at scale, we must explore the perspectives of organizations serving rural African American communities and situate findings within foundational Implementation Science frameworks.
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