Evaluating the Impact of Patient No-Shows on Service Quality

Patient no-shows are long-standing issues affecting resource utilization and posing risks to the quality of healthcare services. They also lead to loss of anticipated revenue, particularly in services where resources are expensive and in great demand. In order to address common reasons why patients...

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Vydáno v:Risk management and healthcare policy Ročník 13; s. 509 - 517
Hlavní autoři: Marbouh, Dounia, Khaleel, Iman, Al Shanqiti, Khawla, Al Tamimi, Maryam, Simsekler, Mecit Can Emre, Ellahham, Samer, Alibazoglu, Deniz, Alibazoglu, Haluk
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Taylor & Francis Ltd 01.01.2020
Dove
Dove Medical Press
Témata:
Environmental factors
Laboratories
no-shows
Original Research
overbooking
patient appointment
Patients
Predictive analytics
quality
Quality of service
Radiology
resource utilization
Scheduling
scheduling policy
patient appointment
overbooking
scheduling policy
predictive analytics
resource utilization
no-shows
quality
ISSN:1179-1594, 1179-1594
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Shrnutí:Patient no-shows are long-standing issues affecting resource utilization and posing risks to the quality of healthcare services. They also lead to loss of anticipated revenue, particularly in services where resources are expensive and in great demand. In order to address common reasons why patients miss appointments, this study reviews the current literature and investigates various tools and methods that have been implemented to mitigate such issues. Further, a case study is conducted to identify the rate of no-shows and underlying causes at a radiology department in one of the leading hospitals in the MENA region. Our results show that the no-shows are high due to multiple factors, such as patient behavior, patients' financial situation, environmental factors and scheduling policy. In conclusion, we generate a list of recommendations that can help in reducing the rate of patient no-shows, such as patient education, application of dynamic scheduling policies and effective appointment reminder systems to patients.
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ISSN:1179-1594
1179-1594
DOI:10.2147/RMHP.S232114