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Large-Scale No-Show Patterns and Distributions for Clinic Operational Research
Michael L Davies1, Rachel M Goffman2, Jerrold H May3
1Access and Clinic Administration Program (ACAP), U.S. Department of Veterans Affairs, Washington, DC 57741, USA. michael.davies@va.gov.
Healthcare (Basel, Switzerland)
|July 16, 2016
Summary
Male patients and younger individuals exhibit higher primary care appointment no-show rates, particularly as appointment age increases. These patterns vary by age and gender within the Veterans Health Administration (VHA).
Area of Science:
- Health Services Research
- Healthcare Management
- Patient Access and Engagement
Background:
- Patient no-shows for primary care appointments are a significant issue, negatively impacting care quality, access, provider productivity, and increasing costs.
- Understanding variations in no-show rates based on patient demographics and appointment characteristics is crucial for developing targeted interventions.
Purpose of the Study:
- To describe patterns of no-show variation by patient age, gender, appointment age, and type of appointment request.
- To analyze these patterns across six service lines within the United States Veterans Health Administration (VHA).
Main Methods:
- Retrospective observational descriptive study analyzing 25,050,479 VHA appointments from FY07-FY14 for 555,183 patients.
- Multifactor analysis of variance (ANOVA) used to examine no-show rate as the dependent variable against factors including gender, age group, appointment age, new patient status, and service line.
Main Results:
- Males showed higher no-show rates than females until age 65; thereafter, rates were similar.
- No-show rates generally decreased with age until 75-79, then increased.
- Increasing appointment age correlated with higher no-show rates for males and new patients, with younger patients being particularly susceptible.
Conclusions:
- Patient age and gender significantly influence primary care appointment no-show rates, with distinct patterns observed across different age groups and appointment ages.
- Findings offer valuable insights for healthcare practitioners and management scientists to better characterize no-show behaviors and inform targeted interventions.
- Further research on general population data is needed to determine the generalizability of these VHA-specific findings.
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