In:
Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 101, No. 10 ( 2022-03-11), p. e29017-
Kurzfassung:
The use of telemedicine has increased significantly during the Corona virus disease 2019 pandemic. This manuscript serves to identify the underlying principles of clinical excellence in telemedicine and to determine whether effective care practices can be generalized as a one-size-fits-all model or must instead be tailored to individual patient populations. A survey assessing care quality and patient satisfaction for patients using telemedicine was created and administered via email to 2 urban cohorts of varying demographics and socioeconomic backgrounds: a population of patients with prior stroke and cerebrovascular disease, and a cohort of patients followed for interstitial lung disease. Results were compared across groups to determine the generalizability of effective practices across populations. Individuals taking part in telemedicine were more likely to be White, more affluent, and woman, regardless of clinical diagnosis compared with a similar cohort of patients seen in-person the year prior. A lower-than-expected number of patients who were Black and of lower socioeconomic status followed up virtually, indicating potential barriers to access. Overall, patients who participated in televisits were satisfied with the experience and felt that the care met their medical needs; however, those who were older were more likely to experience technical difficulties and prefer in-person visits, while those with less education were less likely to feel that their questions were addressed in an understandable way. When thoughtfully designed, telemedicine practices can be an effective model for patient care, though implementation must consider population characteristics including age, education, and socioeconomic status, and strategies such as ease of access versus optimization of communication strategies should be tailored to meet individual patient needs.
Materialart:
Online-Ressource
ISSN:
0025-7974
,
1536-5964
DOI:
10.1097/MD.0000000000029017
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2022
ZDB Id:
2049818-4
