What might be a secondary data point useful for further understanding missed appointments?

Understanding missed appointments can benefit significantly from secondary data points, and customer satisfaction scores stand out as a particularly relevant factor. When analyzing the reasons behind missed appointments, the level of customer satisfaction can provide insights into potential underlying issues. For instance, low satisfaction scores could indicate factors such as poor service quality or negative experiences, which might lead to a higher likelihood of cancellations or no-shows.

Incorporating customer satisfaction scores into the analysis allows for a more holistic view of the problem. If satisfaction is low, it may be necessary to investigate aspects like wait times, staff interactions, or the overall experience, which could directly correlate with a patient's decision to miss an appointment. Therefore, linking missed appointments with customer sentiment helps organizations create targeted strategies for improvement.

While the other options could offer some context, they don't directly relate to understanding the behavioral or emotional factors influencing missed appointments as effectively as customer satisfaction scores do. For example, the price of appointments and appointment duration primarily provide logistical information, while location may influence access but not the personal experiences that customer satisfaction encapsulates. Hence, customer satisfaction scores serve as a valuable tool for gaining insights into missed appointments.