Investigating non-attendance at colposcopy clinic

Yassin, Ahmed; Howell, Rosemary; Nysenbaum, A. M.

doi:10.1080/01443610120101790

Cited by 8 publications

(6 citation statements)

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“…In the literature, the default rate of colposcopy appointments varies widely, between 8% and 24%. [8][9][10][11] In this study, the default rate of initial colposcopy appointments (15.8%) was slightly higher than the NHSCSP 2004 minimum requirements (< 15%). In the United Kingdom, interventions including sending a detailed leaflet with a reminder letter regarding the appointment and pre-clinic telephone contact have proved to be practical and can effectively reduce the default rate.…”

Section: Discussioncontrasting

confidence: 54%

“…3 Because of numerous background differences between individual populations and types of visit, a wide variation of reported factors that influence default of colposcopy appointments is anticipated. [8][9][10] In this study, lack of health insurance, being known to have HIV infection and waiting times longer than 4 weeks of referral were significant independent predictors of missed initial colposcopy appointments. These significant predictors found at an individual setting should be taken into consideration when designing protocols for enhancing patientsÕ compliance and managing default problems.…”

Section: Discussionmentioning

confidence: 57%

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An audit of colposcopy appointment processes in women with abnormal cervical cytology

et al. 2010

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Section: Discussioncontrasting

confidence: 54%

Section: Discussionmentioning

confidence: 57%

An audit of colposcopy appointment processes in women with abnormal cervical cytology

et al. 2010

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“…This phenomenon was observed in previous studies [4,6,10,17] , although relatively low nonattendance rates (16%) were reported in an adolescent women's health clinic [13] . It is suggested that the lower proportion of nonattendance in older age reflects poorer health and therefore increased motivation to seek assistance from a physician.…”

Section: Discussionmentioning

confidence: 61%

Nonattendance in Obstetrics and Gynecology Patients

Dreiher

Froimovici

Bibi

et al. 2008

Gynecol Obstet Invest

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Background: Nonattendance for obstetrics and gynecology (OB/GYN) appointments disrupts medical care and leads to misuse of valuable resources. We investigated factors associated with nonattendance in an outpatient OB/GYN clinic. Methods: Nonattendance was examined for a period of 1 year in first-time visitors of an ambulatory OB/GYN clinic. The effects of age, population sector, the treating physician, waiting time, and timing of the appointment on the proportions of nonattendance were assessed. χ² tests and logistic regression were used for simple and multiple regression models. Results: A total of 8,883 visits were included (median age 36 years). The proportion of nonattendance was 30.1%: 19.9% among rural Jewish, 30.5% in urban Jewish, and 36% in Bedouins (p < 0.001). Nonattendance increased from 26.6% among those waiting up to 1 week to 32.3% among those who waited more than 15 days (p < 0.001) and decreased with age (p < 0.001). A multiple logistic regression model demonstrated that age, population sector and waiting time for an appointment were significantly associated with nonattendance. Conclusion: Nonattendance in OB/GYN patients is independently associated with age, population sector and waiting time for an appointment. It is suggested that various solutions should be carefully introduced assessed regarding routine patient scheduling in OB/GYN clinics.

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“…Our study was also unable to analyse failed appointments by clinical condition and symptoms. Other studies have shown that different clinical conditions and health status may be linked to failed attendances [23,24]. Future studies should include such variables to increase the predictive accuracy, but we note that our methodology already has diagnostic accuracy of more than 80% on the basis of routinely available data alone.…”

Section: Discussionmentioning

confidence: 89%

Predictors of failed attendances in a multi-specialty outpatient centre using electronic databases

Lee

Earnest

Chen

et al. 2005

BMC Health Serv Res

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BackgroundFailure to keep outpatient medical appointments results in inefficiencies and costs. The objective of this study is to show the factors in an existing electronic database that affect failed appointments and to develop a predictive probability model to increase the effectiveness of interventions.MethodsA retrospective study was conducted on outpatient clinic attendances at Tan Tock Seng Hospital, Singapore from 2000 to 2004. 22864 patients were randomly sampled for analysis. The outcome measure was failed outpatient appointments according to each patient's latest appointment.ResultsFailures comprised of 21% of all appointments and 39% when using the patients' latest appointment. Using odds ratios from the mutliple logistic regression analysis, age group (0.75 to 0.84 for groups above 40 years compared to below 20 years), race (1.48 for Malays, 1.61 for Indians compared to Chinese), days from scheduling to appointment (2.38 for more than 21 days compared to less than 7 days), previous failed appointments (1.79 for more than 60% failures and 4.38 for no previous appointments, compared with less than 20% failures), provision of cell phone number (0.10 for providing numbers compared to otherwise) and distance from hospital (1.14 for more than 14 km compared to less than 6 km) were significantly associated with failed appointments. The predicted probability model's diagnostic accuracy to predict failures is more than 80%.ConclusionA few key variables have shown to adequately account for and predict failed appointments using existing electronic databases. These can be used to develop integrative technological solutions in the outpatient clinic.

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Investigating non-attendance at colposcopy clinic

Cited by 8 publications

References 0 publications

An audit of colposcopy appointment processes in women with abnormal cervical cytology

An audit of colposcopy appointment processes in women with abnormal cervical cytology

Nonattendance in Obstetrics and Gynecology Patients

Predictors of failed attendances in a multi-specialty outpatient centre using electronic databases

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