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Demographics and visit factors associated with patient cycle time in a Saudi cohort of 52,611 visitsAutumn visits and urgent care clinics lead to longer waits for patients at this Saudi clinic

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Key Takeaway
Note that visit type, season, and demographics influence patient cycle time in this Saudi cohort.

This retrospective analytical chart review evaluated 52,611 visits at the Family and Community Medical Centre in the Eastern Province of Saudi Arabia. The study examined how demographic, clinical, and operational factors influenced patient cycle time. Conditions included upper respiratory, gastrointestinal, musculoskeletal, neurological, dermatological, and diabetes presentations.

The primary outcome was patient cycle time, with a median of 20 minutes (interquartile range: 20–21). Longer cycle times were observed for visits to urgent care and chronic disease clinics, during autumn, for acute diagnoses, and among patients of Saudi nationality. Conversely, shorter cycle times were noted for preventive care, diabetes-related visits, and with increasing age. Sex was not a significant predictor of cycle time.

Safety and tolerability were not reported in this operational analysis. Key limitations include the observational nature of the data and the lack of reported p-values or confidence intervals. The findings suggest that targeted operational interventions focusing on urgent care services, seasonal demand, and acute presentations may help optimize the clinical consultation pathway.

Imagine walking into a clinic and waiting longer than you expect. A review of over 52,000 visits at a major clinic in Saudi Arabia shows exactly when and why those waits happen. The team looked at everything from the time of year to the type of clinic you visited. They wanted to understand what makes a patient wait longer in the chair before seeing a doctor.

The findings were clear. Visits during the autumn season were linked to longer waits. Patients going to urgent care clinics and those with chronic disease clinics also faced longer times. Even the type of diagnosis mattered; acute problems led to longer waits compared to preventive care visits. Interestingly, older patients actually waited less time than younger ones.

This is not about a new drug or a medical cure. It is about how the clinic runs. The study suggests that if the clinic focuses on managing urgent care needs and prepares for busy autumn months, they can make the visit smoother for everyone. Understanding these patterns helps the clinic serve its community better.

What this means for you:
Autumn seasons and urgent care visits are linked to longer wait times for patients.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Patient cycle time is a useful operational metric for assessing the clinical encounter pathway in primary healthcare settings. Prolonged cycle times may reflect delays within the consultation process and may affect patient experience and clinic flow. This study aims to evaluate patient cycle time at a large Family and Community Medical Centre in the Eastern Province of Saudi Arabia and to identify the demographic, clinical, and operational factors associated with variations in cycle time. A retrospective analytical chart review was conducted using electronic health record data for all visits to FCMC over a 1-year period in 2025 (n = 52,611). Cycle time was defined as the duration from patient check-in to the closure of the physician encounter. Sociodemographic variables, visit characteristics, clinic type, seasonality, and diagnostic categories were analysed. Multivariable linear regression was performed to identify predictors of cycle time. The median cycle time was 20 min (interquartile range: 20–21). Longer cycle times were significantly associated with visits to urgent care and chronic disease clinics, Saudi nationality, autumn visits, and acute diagnoses, including upper respiratory, gastrointestinal, musculoskeletal, neurological, and dermatological conditions. Shorter cycle times were observed for preventive care and diabetes-related visits. Increasing age was independently associated with shorter cycle time, while sex was not a significant predictor. Cycle time at this primary healthcare centre was relatively short compared with national and international benchmarks. However, it varied by clinic type, diagnosis, season, and patient characteristics. Targeted operational interventions focusing on urgent care services, seasonal demand, and acute presentations may help optimize the clinical consultation pathway.
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