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Patient Satisfaction and Healthcare Utilization with the Transition to Virtual Care in a Multidisciplinary Bariatric Program

  • Lindsay Miamen,
  • Vasundhara Mathur,
  • Meghan Ariagno,
  • Amanda Lavasseur,
  • Catherine Page,
  • Ema Barbosa Brown,
  • Yali Lu PA-C,
  • Paul Davidson,
  • Abdelrahman Nimeri,
  • Ali Tavakkoli,
  • Scott Shikora,
  • Eric Sheu

摘要

Background

The COVID-19 pandemic saw an acceleration in virtual-visits (VV) for healthcare delivery. However, the impact of virtual care in metabolic/bariatric surgery (MBS) programs is not well described.

Methods

Appointment data from three time-points: pre-pandemic (1/1/19–3/15/20, n = 19,290), pandemic (3/16/20–10/31/21, n = 29,459) and current-state (11/1/21–12/31/2022, n = 24,270) was retrieved in our multi-hospital ambulatory MBS program. Appointments were grouped by health care provider (HCP) (MD, dietician, and psychologist) and type (VV and in-person). Surveys assessing patient satisfaction were distributed electronically. All pre-op and post-op appointment data was analyzed for the time-points above. Appointment completion rates and patient reported preferences were described.

Results

Our data showed an increase in scheduled VV from 0.5% for all HCP visits to 81% during the pandemic and a current VV visit of 77%. The number of completed VV increased for all HCPs, most prominently for dieticians. Parallel to this, the percentage of no-show visits also improved for all HCP, with MDs having the lowest no-show rate currently. Survey data revealed 89% of patients experience added benefits with VV and > 90% reported their VV experience as very good. VV were preferred over in-person visits for psychologists and dietitians (> 61%), but the majority preferred to see MDs in-person (70%).

Conclusions

Our findings reveal significant changes in healthcare utilization trends since the transition to virtual care. While overall satisfaction with virtual care is high, most patients prefer in-person visits with MDs. Thus, multi-disciplinary MBS care can be performed effectively using a hybrid model to ensure efficient distribution of resources.

Graphical Abstract