Your browser doesn't support javascript.
loading
Association of Use of Electronic Appointment Reminders With Waiting Times in the Veterans Affairs Health System.
Li, Lianjun; Zhao, Haiqing; Lim, Noah; Goh, Joel; Ng, Bernard.
Afiliação
  • Li L; Global Asia Institute, National University of Singapore, Singapore.
  • Zhao H; Global Asia Institute, National University of Singapore, Singapore.
  • Lim N; Global Asia Institute, National University of Singapore, Singapore.
  • Goh J; Department of Analytics and Operations, NUS Business School, National University of Singapore, Global Asia Institute, Singapore.
  • Ng B; Technology and Operations Management Unit, Harvard Business School, Boston, Massachusetts.
JAMA Netw Open ; 5(2): e2148593, 2022 02 01.
Article em En | MEDLINE | ID: mdl-35166781
Importance: Electronic appointment reminder systems are increasingly used across health systems. However, their association with patients' waiting times for their appointments, a measure of timely access to care, has yet to be assessed. Objective: To assess the associations between the introduction of an electronic appointment reminder system and the number of days patients had to wait from appointment booking to appointment completion in patients in the Veterans Affairs Health System. Design, Setting, and Participants: Cohort study of patients who completed appointments from January 1, 2018, to October 13, 2018, inclusive in all 130 Veterans Affairs (VA) health centers in the US. The study population comprised a census of all patients who received care at any VA health center during the period of the study for outpatient, procedural, rehabilitation, or radiology services. Data were analyzed from May 15, 2021, to December 15, 2021. Exposures: Phased introduction of an electronic appointment reminder system (VEText) in 6 waves spread across the study period. Main Outcomes and Measures: The unit of observation in this study was a completed appointment made by any such patients. Observations were excluded if the appointment was booked before but completed after the exposure, or if data were duplicated, missing, or incomplete. For each completed appointment, the number of days between which the appointment was booked and when it was completed. Results: The number of observations after exclusion comprised 39.5 million completed appointments from 5.1 million patients (91.1% male) with a mean (SD) age of 62.57 (16.24) years. The adoption of VEText was associated with an estimated reduction in patient waiting time by a mean of 6.51 days (95% CI, 5.51-7.52 days). Adoption of VEText was also associated with an increase of 8.54 (95% CI, 7.65-9.44) days of additional waiting per incomplete booking. Conclusions and Relevance: Results of this study suggest that appointment reminder systems may be associated with decreases in the mean number of days patients in the VA system have to wait for their appointments but can potentially lengthen waiting times for patients who miss their bookings. Further study is warranted to assess whether these findings may be generalizable to other populations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Listas de Espera / United States Department of Veterans Affairs / Sistemas de Alerta / Atenção à Saúde Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Listas de Espera / United States Department of Veterans Affairs / Sistemas de Alerta / Atenção à Saúde Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article