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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02108873
Other study ID # 2262
Secondary ID
Status Completed
Phase N/A
First received April 6, 2014
Last updated March 19, 2015
Start date May 2014
Est. completion date December 2014

Study information

Verified date March 2015
Source Hospital Italiano de Buenos Aires
Contact n/a
Is FDA regulated No
Health authority Argentina: Human Research Bioethics Committee
Study type Observational

Clinical Trial Summary

Our objectives were to estimate the prevalence of nonattendance at outpatient offices, to identify the characteristics of appointments for which nonattendance was more likely to occur, and to generate a predictive model that could be applied to each appointment to estimate the probability of nonattendance.


Description:

Nonattendance at scheduled appointments at outpatient clinics is a common problem in general medical practice, representing a significant cost to the health care system, and resulting in disruption of daily work planning.Nonattendance at medical appointments has consequences not only for doctors (as it requires a greater use of resources and time), but also for patients, because there may be deterioration in the quality of care, and dissatisfaction associated with delays in obtaining a new appointment.

Previous studies have reported that nonattendance at scheduled appointments is most frequently associated with those patients attending follow-up appointments, generally those assigned to another professional, those with appointments on Fridays, and those with appointments assigned 1 - 2 weeks in advance. Nonattendance was also associated with younger patient age, greater psychological problems, and lower socioeconomic status.Furthermore, in patients with chronic diseases, the nonattendance rate was also reported to be lower. Clinical patient characteristics can be important predictors of nonattendance, but they required high quality electronic health records to predict nonattendance accurately In the United States and Europe, the nonattendance rate is estimated to be between 6.5%-55%; there is little evidence regarding nonattendance in Latin America. Many studies have described the prevalence and impact of nonattendance at scheduled medical appointments, and possible strategies to decrease the nonattendance rate. However, few studies have utilized the characteristics associated with nonattendance for building predictive models, which might better identify those patients who may not attend a scheduled appointment


Recruitment information / eligibility

Status Completed
Enrollment 10000
Est. completion date December 2014
Est. primary completion date September 2014
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Both
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Over 17 years.

- Adults who attended, did not attend and cancelled a scheduled appointment at the Outpatient care system at the Italian Hospital of Buenos Aires (HIBA)

Exclusion Criteria:

- The refusal to register or to the informed consent process.

Study Design

Observational Model: Cohort, Time Perspective: Retrospective


Related Conditions & MeSH terms


Locations

Country Name City State
Argentina Hospital Italiano de Buenos Aires Capital Federal Buenos Aires

Sponsors (1)

Lead Sponsor Collaborator
Hospital Italiano de Buenos Aires

Country where clinical trial is conducted

Argentina, 

Outcome

Type Measure Description Time frame Safety issue
Primary Prevalence of non attendance, attendance and cancellation Characterize, describe and compare the clinical and administrative characteristics of outpatients who didn't attend, attended and cancelled an appointment in internal medicine/primary health care, clinical subspecialties and surgical specialties. Cohort study of 24 month No
Secondary Clinical and administrative characteristics Characterize, describe and compare the clinical and administrative characteristics of outpatients who didn't attend, attended and cancelled an appointment in internal medicine/primary health care, clinical subspecialties and surgical specialties. Cohort study of 24 month No
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