Strategic insights of telehealth platforms and strengths, weaknesses, opportunities, and threats analysis of Amazon's clinical endeavors

Table 1 Summary of the parameters evaluated in the analyzed articles

Ref.	Parameters evaluated	Key findings	Methodology
Access and quality of care in direct-to-consumer telemedicine, Uscher-Pines et al[5]	Antibiotic Prescribing for Acute Respiratory Infections in telemedicine visits vs traditional office visits	Antibiotic prescribing practices differed significantly between telemedicine and traditional settings	Retrospective analysis of telemedicine session records to evaluate prescribing patterns
Analysis of teladoc use seems to indicate expanded access to care for patients without prior connection to a provider, Uscher-Pines and Mehrotra[6]	Utilization patterns of Teladoc services	Teladoc appears to expand access to care for patients without prior connection to a provider	Analysis of claims data for 3701 Teladoc visits, comparing usage patterns and follow-up rates
Welcome to the world of telehealth: Physicians reaping significant benefits, Gorton[7]	Evaluating benefits to physicians from telemedicine	Physicians can diagnose and prescribe for routine conditions via telephone, expanding their role, enhancing patient access to care, supporting the 'medical home' model	Narrative review
The application of a novel, context specific, remote, usability assessment tool to conduct a pre-redesign and post redesign usability comparison of a telemedicine website, Campbell et al[8]	Usability of Teladoc website pre- and post-redesign	The Teladoc website had better usability prior to the redesign	Remote usability testing using a novel data collection tool with 50 participants before and after the website redesign
A comparative evaluation of measurement-based psychiatric care delivered via specialized tele-mental health platform versus treatment as usual: A retrospective analysis: Chokshi et al[8]	Efficacy of tele-mental health among different incomes	Lower and higher income groups both improved in depression symptoms, with higher income groups showing more improvement	Retrospective analysis of clinical data from telepsychiatry sessions, comparing outcomes by income level
Exploring social determinants of health: Comparing lower and higher income individuals participating in telepsychiatric care for depression; Belanger et al[8]	Comparison between lower income (below $30000 annually) and higher income (above $60000 annually) groups. And depression severity using PHQ-9 over several time points (baseline, 6, 8, 10, 12, 14, and 16 weeks)	Both income groups showed significant improvement in depression symptoms over the course of treatment. Lower income individuals, although showing significant improvement, had slightly worse outcomes compared to higher income individuals, particularly at later stages of measurement	Retrospective analysis of data from 5426 patients undergoing telepsychiatric treatment for depression, sourced from Brightside Health Inc. Propensity matching and repeated measures ANOVA were employed to compare depression severity changes between lower and higher income groups using PHQ-9 scores over time
Factors shifting preference toward telemedicine in the delivery of skin cancer reconstruction care; Du et al[11]	Preferences for telemedicine in oncology care	Majority of patients preferred in-person visits over telemedicine options, however noted shift towards tele-medicine, influenced by costs and wait times	Cross-sectional survey using a custom scenario-based survey, distributed both online and in-person
Implementation and outcomes of virtual care across a tertiary cancer center during COVID-19; Berlin et al[14]	Care delivery volumes, quality of care, patient and practitioner experiences, cost savings to patients	Virtual care effectively maintained outpatient caseloads, ensured care quality, and achieved high satisfaction rates among patients and practitioners	Implemented a virtual care management system across a tertiary cancer center, assessed through a cohort study involving care delivery data, quality measures, and satisfaction surveys from March 23 to May 22, 2020

COVID-19: Coronavirus disease 2019; PHQ-9: Patient Health Questionnaire-9.