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Appointment breaking: causes and solutions.

A G Bean1, J Talaga

  • 1La Salle University, Philadelphia.

Journal of Health Care Marketing
|November 4, 1992
PubMed
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Patient no-show behavior is predicted by demographics, psychosocial issues, past habits, beliefs, and situational factors. Strategies can improve appointment keeping and reduce negative impacts on healthcare providers.

Area of Science:

  • Health Services Research
  • Healthcare Management
  • Patient Behavior Analysis

Background:

  • Healthcare appointment no-shows represent a significant challenge, impacting resource allocation and patient access.
  • Understanding the multifaceted predictors of patient no-shows is crucial for effective healthcare system management.

Purpose of the Study:

  • To identify key factors influencing patient no-show behavior in healthcare settings.
  • To propose strategies for enhancing patient appointment adherence.
  • To outline methods for mitigating the adverse effects of no-shows on healthcare providers.

Main Methods:

  • A comprehensive review of existing research on health care appointment breaking was conducted.
  • Analysis focused on identifying demographic, psychosocial, behavioral, and situational predictors of no-shows.

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Main Results:

  • Patient demographic characteristics, psychosocial problems, previous appointment keeping, health beliefs, and situational factors were found to predict no-show behavior.
  • Specific factors contributing to missed appointments were identified across diverse patient populations.

Conclusions:

  • Healthcare providers can improve patient appointment keeping by tailoring marketing mix strategies.
  • Implementing targeted interventions based on identified predictors can effectively mitigate the negative consequences of no-shows on healthcare operations.