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Joy Ayemoba,Karen Schaller,Rachel Nordgren et al. Joy Ayemoba et al.
Our parent questionnaire showed association of no-show rates with lower caregiver education (p ​= ​0.005), non-English speaking (p ​= ​0.015), difficulty accessing internet (p ​= ​0.011), and only smartphone internet access (p ​= ​0.002).
Edwin Phillip Greenup,Daniel Best Edwin Phillip Greenup
Objectives: Comparisons of no-show rates between virtual and in-person models of care are commonly reported during evaluation, indicating how coveted improvements in attendance are to health service providers.
Emma Ghalili,Tsion Tmariam,Parth D Trivedi et al. Emma Ghalili et al.
Objective: To develop a coordinated colorectal cancer (CRC) screening program within a large urban health system, with the ultimate goal of increasing system-wide screening rates of eligible patients and reducing no-show rates while increasing colonoscopy completion rates.
Khalid Sawalha,Andrew J Fancher,Subhi Al&#x;Aref et al. Khalid Sawalha et al.
No-show rates and percent change in no-show rates by year were analyzed for the whole population and stratified by gender, race, ethnicity, and insurance status....These groups all had no-show rates suggesting that nearly or greater than a third of their patients were not receiving the cardiovascular care they needed by the end of the pandemic....The highest no-show rates in 2022 were observed in the following patient subgroups: Black 1,915 (35.08%), Self-Pay Discount 490 (39.3%), Medicaid 873 (36.2%), and Medicaid MC Plus 689 (32.9%)....Conclusion: The COVID-19 pandemic significantly increased no-show rates for outpatient cardiology visits, particularly among underserved populations, highlighting the vulnerability of low socioeconomic status patients.
Donald T Erwin,Alexandria Fischer,Mark Litvak et al. Donald T Erwin et al.
Appointment outcomes (i.e., occurred, no-show, canceled, or rescheduled) were matched to each preference group and no-show rates were calculated.
Tiffany Husman,Omeed Miraftab-Salo,Alonn Ilan et al. Tiffany Husman et al.
This study offers insights into potential interventions addressing specific barriers to improving patient no-show rates for an urban, safety-net outpatient population.
Ruth L Lagman,Renato V Samala,Ahed Makhoul et al. Ruth L Lagman et al.
This study aims to determine the no-show rates for automated methods of confirmation, in-person and virtual visits, and patients living in underserved areas.MethodsData was gathered retrospectively through electronic medical record review.
Monalisa Attif Hassan,Jeffrey Fine,Kathleen Doyle et al. Monalisa Attif Hassan et al.
Additionally, we hypothesize that increased telemedicine use has contributed to lower no-show rates and more equitable access to care.
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