Perceived influence of systemic delay in scheduling doctor's appointments and patient experience on outdoor patient health outcome

Systemic delays in scheduling physician appointments have emerged as a persistent challenge in the U.S. healthcare system, with critical implications for patient experience and health outcomes. This study examined the prevalence, predictors, and impacts of appointment delays among outpatients. Findings revealed that over 80% of patients attempting to schedule physician appointments within the past year encountered delays, with some waiting more than thirty days beyond recommended standards. Insurance disparities were pronounced: uninsured patients experienced the longest delays, followed by those with public insurance, while privately insured individuals had relatively shorter waiting times. Appointment delays were positively correlated with missed follow-up visits, underscoring a threat to continuity of care. Although regression analyses did not show statistically significant direct effects on health outcomes such as treatment adherence, symptom progression, or readmission within this sample, the model accounted for over 30% of the variance, suggesting interaction with unmeasured or systemic factors. These findings mirror growing evidence that scheduling delays exacerbated by capacity limitations, insurance barriers, and underutilized telehealth are not peripheral inconveniences but central determinants of access, equity, and system efficiency. The study contributes to the literature on patient-centered care by highlighting the need for targeted interventions to reduce appointment wait times and mitigate health disparities across insurance categories.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17556599
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Perceived influence of systemic delay in scheduling doctor's appointments and patient experience on outdoor patient health outcome

Zenodo (CERN European Organization for Nuclear Research)
Healthcare Operations and Scheduling Optimization
article

Perceived influence of systemic delay in scheduling doctor's appointments and patient experience on outdoor patient health outcome

article en

Abstract

Systemic delays in scheduling physician appointments have emerged as a persistent challenge in the U.S. healthcare system, with critical implications for patient experience and health outcomes. This study examined the prevalence, predictors, and impacts of appointment delays among outpatients. Findings revealed that over 80% of patients attempting to schedule physician appointments within the past year encountered delays, with some waiting more than thirty days beyond recommended standards. Insurance disparities were pronounced: uninsured patients experienced the longest delays, followed by those with public insurance, while privately insured individuals had relatively shorter waiting times. Appointment delays were positively correlated with missed follow-up visits, underscoring a threat to continuity of care. Although regression analyses did not show statistically significant direct effects on health outcomes such as treatment adherence, symptom progression, or readmission within this sample, the model accounted for over 30% of the variance, suggesting interaction with unmeasured or systemic factors. These findings mirror growing evidence that scheduling delays exacerbated by capacity limitations, insurance barriers, and underutilized telehealth are not peripheral inconveniences but central determinants of access, equity, and system efficiency. The study contributes to the literature on patient-centered care by highlighting the need for targeted interventions to reduce appointment wait times and mitigate health disparities across insurance categories.

Zenodo (CERN European Organization for Nuclear Research)
Columbia Southern University (US), University of Maryland Global Campus (US)
Openalex Percentile: Top 32%
Healthcare Operations and Scheduling Optimization
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