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Are We Adequately Measuring Patient Satisfaction with Telemedicine? A Systematic Review with a Meta-Analysis
Maria Eulália Vinadé Chagas1,2, Vanessa Cristina Jacovas1, Taís de Campos Moreira1
1Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil.
Abstract:
Introduction: Telemedicine has gained significant attention as an effective means of providing health care remotely, particularly during the COVID-19 pandemic. Patient satisfaction is a critical aspect of implementing telemedicine, but we have no comprehensive understanding of satisfaction levels and the associated factors. The aim of this systematic review and meta-analysis was to assess patient satisfaction related to telemedicine consultations and to identify key factors influencing satisfaction levels. Results: The search yielded a total of 147 cross-sectional studies, of which 107 met the criteria for inclusion in the meta-analysis. Overall, patient satisfaction with teleconsultations was found to be high, with satisfaction levels ranging from 38 to 100 on a scale of 0 to 100. Only a small percentage (2.72%) of the studies reported satisfaction levels below 75%. Surprisingly, most studies used nonvalidated satisfaction questionnaires, which highlight the need for the development of standardized measurement instruments. Conclusions: This systematic review and meta-analysis provide evidence that patients generally exhibit high levels of satisfaction with telemedicine consultations. The use of nonvalidated satisfaction questionnaires in many studies, however, suggests a need for more standardized assessment tools. Factors such as the time interval between the consultation and the assessment were found to influence satisfaction levels. Understanding these factors can help health care providers improve telemedicine services and patient-provider relationships and optimize health care delivery in the context of telemedicine. Further research is warranted to develop validated satisfaction measurement instruments and explore any additional factors that influence patient satisfaction with telemedicine.
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