CompletedNCT06419725Updated May 17, 2024

Temporal Trends in Nonattendence Rate for Scheduled Outpatient Appointments.

An observational study in Patient Non Attendance to Medical Care, sponsored by Hospital Italiano de Buenos Aires. Completed at 1 site in Argentina. Open to participants aged 0 Years to 110 Years. Per ClinicalTrials.gov, last updated 2024-05-17.

Sponsored by Hospital Italiano de Buenos Aires · Observational

Study type: Observational
Model: Ecologic or community
Time perspective: Retrospective
Enrollment: 13,823,093
Ages: 0 Years to 110 Years
Sex: All

Study summary

Ecological time-series study using secondary databases.

Read the detailed description

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

Conditions studied

Patient Non Attendance to Medical Care

Keywords

No Show Patients
Patient Non Attendance
Patient absenteeism
Patient compliance

In context

Lead sponsor

Hospital Italiano de Buenos Aires is the lead sponsor of 128 studies on the registry; 23 are open to participants now.

Counted across the registry records on this site, refreshed daily.

Who can participate

Ages eligible: 0 Years to 110 Years
Sexes eligible: All
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.

Inclusion criteria

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

Exclusion criteria

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).

Study design

Observational model: Ecologic or community
Time perspective: Retrospective
Enrollment: 13,823,093 participants (actual)
Patient registry: No

What researchers measure

Primary outcomes

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).
Time frame: 2016 to 2023
Evaluate temporal trends and changes (joinpoints) in the absenteeism proportion in scheduled outpatient medical appointments for in-person medical care over the same period.
Time frame: 2016 to 2023

Study locations

1 site

Hospital Italiano de Buenos Aires
Ciudad Autonoma de Buenos Aire, 1406, Argentina

References and documents

Publications

Giunta D, Briatore A, Baum A, Luna D, Waisman G, de Quiros FG. Factors associated with nonattendance at clinical medicine scheduled outpatient appointments in a university general hospital. Patient Prefer Adherence. 2013 Nov 8;7:1163-70. doi: 10.2147/PPA.S51841. eCollection 2013. PubMed 24235820 ↗
Giunta DH, Alonso Serena M, Luna D, Peroni ML, Sanchez Thomas D, Binder F, Blugerman GA, Fuentes N, Elizondo CM, Gonzalez Bernaldo de Quiros F. Association between non-attendance to outpatient clinics and emergency department consultations, hospitalizations and mortality in a Health Maintenance Organization. Int J Health Plann Manage. 2020 Sep;35(5):1140-1156. doi: 10.1002/hpm.3021. Epub 2020 Jul 9. PubMed 32648278 ↗
Carrillo GJS. Adhesión de los pacientes a las consultas de control ambulatorio. Investigación en Enfermería: Imagen y Desarrollo. 2011;9: 51-62.
Kheirkhah P, Feng Q, Travis LM, Tavakoli-Tabasi S, Sharafkhaneh A. Prevalence, predictors and economic consequences of no-shows. BMC Health Serv Res. 2016 Jan 14;16:13. doi: 10.1186/s12913-015-1243-z. PubMed 26769153 ↗
Berg BP, Murr M, Chermak D, Woodall J, Pignone M, Sandler RS, Denton BT. Estimating the cost of no-shows and evaluating the effects of mitigation strategies. Med Decis Making. 2013 Nov;33(8):976-85. doi: 10.1177/0272989X13478194. Epub 2013 Mar 20. PubMed 23515215 ↗
Jabalera Mesa ML, Morales Asencio JM, Rivas Ruiz F, Porras Gonzalez MH. [Analysis of economic cost of missed outpatient appointments]. Rev Calid Asist. 2017 Jul-Aug;32(4):194-199. doi: 10.1016/j.cali.2017.01.004. Epub 2017 May 2. Spanish. PubMed 28476506 ↗
George A, Rubin G. Non-attendance in general practice: a systematic review and its implications for access to primary health care. Fam Pract. 2003 Apr;20(2):178-84. doi: 10.1093/fampra/20.2.178. PubMed 12651793 ↗
Wolff DL, Waldorff FB, von Plessen C, Mogensen CB, Sorensen TL, Houlind KC, Bogh SB, Rubin KH. Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study. BMC Health Serv Res. 2019 Jun 14;19(1):386. doi: 10.1186/s12913-019-4208-9. PubMed 31200720 ↗
Karter AJ, Parker MM, Moffet HH, Ahmed AT, Ferrara A, Liu JY, Selby JV. Missed appointments and poor glycemic control: an opportunity to identify high-risk diabetic patients. Med Care. 2004 Feb;42(2):110-5. doi: 10.1097/01.mlr.0000109023.64650.73. PubMed 14734947 ↗
Lee RRS, Samsudin MI, Thirumoorthy T, Low LL, Kwan YH. Factors affecting follow-up non-attendance in patients with Type 2 diabetes mellitus and hypertension: a systematic review. Singapore Med J. 2019 May;60(5):216-223. doi: 10.11622/smedj.2019042. PubMed 31187148 ↗
Colubi MM, Perez-Elias MJ, Elias L, Pumares M, Muriel A, Zamora AM, Casado JL, Dronda F, Lopez D, Moreno S; SEAD Study Group. Missing scheduled visits in the outpatient clinic as a marker of short-term admissions and death. HIV Clin Trials. 2012 Sep-Oct;13(5):289-95. doi: 10.1310/hct1305-289. PubMed 23134630 ↗
Srisaenpang S, Pinitsoontorn S, Singhasivanon P, Kitayaporn D, Kaewkungwal J, Tatsanavivat P, Patjanasoontorn B, Reechaipichitkul W, Thiratakulpisan J, Srinakarin J, Srisaenpang P, Thinkamrop B, Apinyanurak C, Chindawong BO. Missed appointments at a tuberculosis clinic increased the risk of clinical treatment failure. Southeast Asian J Trop Med Public Health. 2006 Mar;37(2):345-50. PubMed 17124997 ↗
Ayten Turkcan & Lynn Nuti & Po-Ching DeLaurentis & Zhiyi Tian & Joanne Daggy & Lingsong Zhang & Mark Lawley & Laura Sands, 2013.
Giunta DH, Alonso Serena M. Nonattendance rates of scheduled outpatient appointments in a university general hospital. Int J Health Plann Manage. 2019 Oct;34(4):1377-1385. doi: 10.1002/hpm.2797. Epub 2019 May 7. PubMed 31062463 ↗
Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000 Feb 15;19(3):335-51. doi: 10.1002/(sici)1097-0258(20000215)19:33.0.co;2-z. Erratum In: Stat Med 2001 Feb 28;20(4):655. PubMed 10649300 ↗
Daniel L, Paula O, Alejandro LO, Eduardo R, Federico P, Adrián G, et al. Implementación de una Historia Clínica Electrónica Ambulatoria: El Proyecto Itálica. 6to Simposio de Informática en Salud - 32 JAIIO 2003. 2003.
Plazzotta F, Luna D, Gonzalez Bernaldo de Quiros F. [Health information systems: integrating clinical data in different scenarios and users]. Rev Peru Med Exp Salud Publica. 2015 Apr-Jun;32(2):343-51. Spanish. PubMed 26338397 ↗
Franco M, Giussi Bordoni MV, Otero C, Landoni MC, Benitez S, Borbolla D, Luna D. Problem Oriented Medical Record: Characterizing the Use of the Problem List at Hospital Italiano de Buenos Aires. Stud Health Technol Inform. 2015;216:877. PubMed 26262179 ↗
Luna D, Franco M, Plaza C, Otero C, Wassermann S, Gambarte ML, Giunta D, Gonzalez Bernaldo de Quiros F. Accuracy of an electronic problem list from primary care providers and specialists. Stud Health Technol Inform. 2013;192:417-21. PubMed 23920588 ↗
Plazzotta F, Otero C, Luna D, de Quiros FG. Natural language processing and inference rules as strategies for updating problem list in an electronic health record. Stud Health Technol Inform. 2013;192:1163. PubMed 23920937 ↗
Torre LA, Siegel RL, Ward EM, Jemal A. International variation in lung cancer mortality rates and trends among women. Cancer Epidemiol Biomarkers Prev. 2014 Jun;23(6):1025-36. doi: 10.1158/1055-9965.EPI-13-1220. Epub 2014 May 16. PubMed 24836468 ↗

Individual participant data

Plan to share: No

Updates

Tracking since Sep 25, 2026

No changes since tracking began. The registry record was last updated on May 17, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗

Registry details

Key details

Study ID: NCT06419725
Lead sponsor: Hospital Italiano de Buenos Aires
Responsible party: LUCIA.PEREZ (Pediatrician. Non-sponsored research. Research Secretary of the University Italian Hospital of Buenos Aires., Hospital Italiano de Buenos Aires) — Principal investigator
First posted: May 17, 2024
Start date: Jan 1, 2016
Primary completion: Dec 31, 2023
Completion: Dec 31, 2023
Last update: May 17, 2024

Oversight

FDA-regulated drug: No
FDA-regulated device: No

View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in May 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Other studies from this sponsor

Hospital Italiano de Buenos Aires

Start the discussion