Clinical trial NCT06419725: Temporal Trends in Nonattendence Rate for Scheduled Outpatient Appointments.
Official title: Temporal Trends in Nonattendence Rate for Scheduled Outpatient Appointments.
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Patient Non Attendance to Medical Care
Keywords: No Show Patients
Patient Non Attendance
Patient absenteeism
Patient compliance
Lead sponsor: Hospital Italiano de Buenos Aires
Sponsor class: OTHER
First posted: 2024-05-17
Enrollment: 13823093
Sex: ALL
Minimum age (years): 0
Maximum age (years): 110
Standard ages: CHILD
ADULT
OLDER_ADULT
Observational model: ECOLOGIC_OR_COMMUNITY
Time perspective: RETROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: The study population comprises individuals who requested at least one appointment for scheduled outpatient medical care at Hospital Italiano de Buenos Aires during the study period in any of its settings.

Brief summary: Ecological time-series study using secondary databases.

Detailed description: A time-series study will be conducted to evaluate nonattendance over time. The unit of analysis will be the appointment.

Eligibility criteria: Inclusion Criteria:

* Appointments scheduled for outpatient medical care across all settings and specialties from January 1, 2016, to December 31, 2023

Exclusion Criteria:

* Cancelled appointments, including cancellations made by the patient, medical team, and the appointment management system.
* Appointments that do not correspond to scheduled in-person care (Teleconsultations,
* Appointments for walk-in demand).
* Scheduled appointments that are not for medical care (Health coverage or specialties that do not correspond to scheduled medical care, Appointments for procedures,
* Appointments for complementary exams, Appointments for treatments such as speech therapy, physiotherapy, or other therapies).
* Spontaneous overflow appointments where the patient spontaneously presents for care at that moment. These appointments cannot be absent as the present and the appointment are assigned simultaneously.
* System errors that do not correspond to actual patient medical care appointments (Duplicate cancellations, Appointments where patient and physician coincide).

Primary outcomes:
measure: Describe the behavior over time of the nonattendance proportion in scheduled outpatient medical appointments for in-person medical care over an 8-year period (globally and by subgroups: gender, age, medical specialty, and medical coverage).
timeFrame: 2016 to 2023
measure: Evaluate temporal trends and changes (joinpoints) in the absenteeism proportion in scheduled outpatient medical appointments for in-person medical care over the same period.
timeFrame: 2016 to 2023
Secondary outcomes:
Other outcomes:
Locations:
city: Ciudad Autonoma de Buenos Aire
country: Argentina
facility: Hospital Italiano de Buenos Aires
Study officials:
References:
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