Dataset Information

Telemedicine (virtual clinic) effectively delivers the required healthcare service for pediatric ambulatory surgical patients during the current era of COVID-19 pandemic: A mixed descriptive study.

ABSTRACT:

Background

Children often suffer from congenital or acquired diseases. Ambulatory cases represent the vast majority of pediatric surgical cases. COVID-19 pandemic-associated regulatory precautions had made the process of seeking medical advice at a suitable appointment such a big problem. We utilized telemedicine (online encounter) to deliver the required healthcare service for sorting and guiding pediatric ambulatory surgical patients. In this article, we aimed to: (1) present our experience, (2) evaluate the effectiveness, and (3) document the results of this technology to solve the problem of difficult healthcare accessibility.

Materials and methods

In this study, we compared the utilization of telemedicine (virtual clinic via video consultation) prospectively in the current era of the COVID-19 pandemic in the period from June 2020 to July 2021 to the in-person clinic encounter at the outpatient department (OPD) retrospectively in the previous year (from June 2019 until the end of May 2020) for perioperative management of pediatric ambulatory surgical patients. The study was conducted at 3 tertiary care pediatric surgery centers. The information recorded for analysis included: demographic data, surgical condition distribution, time interval from the appointment request till the actual encounter with the surgeon, conversation duration, distance traveled, and ultimate fate of the consultations. For both groups, service was evaluated after the first follow-up visit by a patient survey questionnaire (Patient Experience Assessment form) including questions relevant to each encounter.

Results

A total of 1124 pediatric patients with various ambulatory surgical conditions had been scheduled for virtual clinic video encounters. Of them, 1056 cases were evaluated by video consultation, supervised by their parents or caregivers, thus, achieving an attendance rate of 94%. Of the remaining cases, 2% (n = 23) were canceled and 4% (n = 45) did not attend the virtual clinic. Two-thirds of the cases live in rural /remote areas. Patients' overall satisfaction was 92%. This was in comparison to 872 pediatric ambulatory surgical patients scheduled for in-person clinic visits before the implementation of the virtual clinic. Of them, only 340 cases had attended the clinic, thus, achieving an attendance rate of 39%. Of the remaining cases, 450 cases (51.6%) were canceled and 82 cases (9.4%) did not attend the clinic (no show). About 48% of the cases live in rural areas. For this group, patients' overall satisfaction was 63%. The mean encounter duration was similar for both groups (∼ 5 min). Surgical condition distribution was also similar (p-value: 0.694). For new cases, the time interval from appointment request till the actual encounter was very short for the virtual clinic group (range: 6-15 days) as compared to the in-person clinic group (range: 30-180 days). Patients were followed up for a median period of 14 ± 3.25 months (range: 6-22 months) with no patient loss to follow-up.

Conclusion

Telemedicine can effectively bridge the patient-physician communication gap caused by the regulatory precautions mandated by the current COVID-19 pandemic. It achieved an attendance rate of 94% and parents' / patients' overall satisfaction of 92%.

SUBMITTER: Mahmoud MA

PROVIDER: S-EPMC8626150 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundA telemedicine service enabling remote surgical consultation had shown promising results. When the service was to be scaled up, it was unclear how contextual variations among different clinical sites could affect the clinical outcomes and implementation of the service. It is generally recognized that contextual factors and work system complexities affect the implementation and outcomes of telemedicine. However, it is methodologically challenging to account for context in complex health care settings. We conducted a work domain analysis (WDA), an engineering method for modeling and analyzing complex work environments, to investigate and represent contextual influences when a telemedicine service was to be scaled up to multiple hospitals.ObjectiveWe wanted to systematically characterize the implementation contexts at the clinics participating in the scale-up process. Conducting a WDA would allow us to identify, in a systematic manner, the functional constraints that shape clinical work at the implementation sites and set the sites apart. The findings could then be valuable for informed implementation and assessment of the telemedicine service.MethodsWe conducted observations and semistructured interviews with a variety of stakeholders. Thematic analysis was guided by concepts derived from the WDA framework. We identified objects, functions, priorities, and values that shape clinical procedures. An iterative "discovery and modeling" approach allowed us to first focus on one clinic and then readjust the scope as our understanding of the work systems deepened.ResultsWe characterized three sets of constraints (ie, facets) in the domain: the treatment facet, administrative facet (providing resources for procedures), and development facet (training, quality improvement, and research). The constraints included medical equipment affecting treatment options; administrative processes affecting access to staff and facilities; values and priorities affecting assessments during endoscopic retrograde cholangiopancreatography; and resources for conducting the procedure.ConclusionsThe surgical work system is embedded in multiple sets of constraints that can be modeled as facets of the system. We found variations between the implementation sites that might interact negatively with the telemedicine service. However, there may be enough motivation and resources to overcome these initial disruptions given that values and priorities are shared across the sites. Contrasting the development facets at different sites highlighted the differences in resources for training and research. In some cases, this could indicate a risk that organizational demands for efficiency and effectiveness might be prioritized over the long-term outcomes provided by the telemedicine service, or a reduced willingness or ability to accept a service that is not yet fully developed or adapted. WDA proved effective in representing and analyzing these complex clinical contexts in the face of technological change. The models serve as examples of how to analyze and represent a complex sociotechnical context during telemedicine design, implementation, and assessment.