An empirical investigation into factors affecting patient cancellations and no-shows at outpatient clinics

Norris, John B.; Kumar, Chetan; Chand, Suresh; Moskowitz, Herbert; Shade, Steve; Willis, Deanna R.

doi:10.1016/j.dss.2012.10.048

Cited by 103 publications

(98 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Research by Galucci, Swartz and Hackerman (2005) and research by Green and Savin (2008) showed that the relationship between waiting times and no-shows can be adjusted to a non-linear regression. After an empirical investigation that included factors such as patient's age, financial payer, and patient's prior attendance history; lead time has been recently confirmed to be the largest contributing factor for predicting no-shows and cancelations (Kumar, Norris, Chand, Moskowitz, Shade & Willis, 2014). Research on how to manage waiting lists has mainly focused on mathematical models that help hospitals better manage resources.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Managing waiting times to predict no-shows and cancelations at a children’s hospital

Rodríguez-García

McLean-Carranza

Prado

et al. 2016

JIEM

View full text Add to dashboard Cite

Abstract:Purpose: Since long waits in hospitals have been found to be related to high rates of no-shows and cancelations, managing waiting times should be considered as an important tool that hospitals can use to reduce missed appointments. The aim of this study is to analyze patients' behavior in order to predict no-show and cancelation rates correlated to waiting times.Design/methodology/approach: This study is based on the data from a US children's hospital, which includes all the appointments registered during one year of observation. We used the callappointment interval to establish the wait time to get an appointment. Four different types of appointment-keeping behavior and two types of patients were distinguished: arrival, no-show, cancelation with no reschedule, and cancelation with reschedule; and new and established patients. Findings:Results confirmed a strong impact of long waiting times on patients' appointmentkeeping behavior, and the logarithmic regression was found as the best-fit function for the correlation between variables in all cases. The correlation analysis showed that new patients tend to miss appointments more often than established patients when the waiting time increases. It was also found that, depending on the patients' appointment distribution, it might get more complicated for hospitals to reduce missed appointments as the waiting time is reduced.-1107-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.2075 Originality/value: The methodology applied in our study, which combines the use of regression analysis and patients' appointment distribution analysis, would help health care managers to understand the initial implications of long waiting times and to address improvement related to patient satisfaction and hospital performance.

show abstract

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Managing waiting times to predict no-shows and cancelations at a children’s hospital

Rodríguez-García

McLean-Carranza

Prado

et al. 2016

JIEM

View full text Add to dashboard Cite

show abstract

“…Nonetheless, a notable gap remains in the available literature related to why women miss their appointments or which categories of women are more likely to miss appointments [1][2][3][4][5][6][7][8][9][10] . Researchers have critically debated a wide range of explanations, including socio-demographic characteristics, where by certain groups have been deemed vulnerable due to the presence of multiple health problems, and economic difficulties as reasons for missed appointments at a maternal healthcare clinic [1-5, 9, 10] .…”

Section: Introductionmentioning

confidence: 99%

“…The empirical evidence indicated that delays and failure to seek proper maternal healthcare resulted in the loss of access to the opportunities that early maternal healthcare provides for the mother, baby and family [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Missed appointments at maternal healthcare clinics in primary healthcare centres in Riyadh city: reasons and associated factors

Almalki

2014

JHA

View full text Add to dashboard Cite

Background: The issue of missed appointments at maternal healthcare clinics in primary healthcare centers (PHCCs) has received increasing attention in recent years. The significant relationship between missed appointments and access to maternal healthcare has been recognized around the world. Missed appointments have serious health and economic consequences for women seeking maternal healthcare at PHCCs. Objectives:The objectives of this research were 1) to critically explore the reasons for and socio-demographic factors associated with missed appointments at maternal healthcare clinics at PHCCs; and 2) to provide recommendations for health policy that might help to eliminate the problem of "no-show" maternal patients. Methods:Descriptive statistics were used to analyze the responses of 250 women regarding demographics, as well as their reasons for missing appointments and their preferences regarding appointment confirmation at maternal healthcare clinics at five PHCCs in Riyadh, Saudi Arabia. Results:The most frequent reasons associated with missed appointments reported by women included a lack of supplies and medical equipment, such as ultrasound machines, the unavailability of transportation and a lack of respect from PHCC staff. Conclusion:Developing easily accessible, flexible, interactive appointment systems with reminder/recall, providing means of transportation, providing training courses to PHCC employees on how to address these women and the provision of necessary medical equipment and facilities, such as ultrasound machines to all PHCCs are highly recommended to reduce the occurrence of missed appointments at maternal healthcare clinics at PHCCs in Riyadh, Saudi Arabia.

show abstract

“…This may reduce medical noncompliance, which is one of the primary factors that hinder effective disease control and prevention [4]. Patients missed scheduled activities mainly for two reasons: lapse of memory and conflict in schedule [30]. Current appointment reminder systems provide a solution to the first issue, but hardly address the second.…”

Section: An Integral Approachmentioning

confidence: 99%

Design of Integral Reminder for Collaborative Appointment Management

Wang

Andoh‐Baidoo

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

show abstract

An empirical investigation into factors affecting patient cancellations and no-shows at outpatient clinics

Cited by 103 publications

References 35 publications

Managing waiting times to predict no-shows and cancelations at a children’s hospital

Managing waiting times to predict no-shows and cancelations at a children’s hospital

Missed appointments at maternal healthcare clinics in primary healthcare centres in Riyadh city: reasons and associated factors

Design of Integral Reminder for Collaborative Appointment Management

Contact Info

Product

Resources

About