Article ; Online: Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea
International Journal of Environmental Research and Public Health, Vol 19, Iss 7996, p
Using the Context–Input–Process–Product Model
2022 Volume 7996
Abstract: Beyond physical pain, patients with coronavirus disease 2019 (COVID-19) experience psychological anxiety during and after quarantine, often facing negative perceptions when returning to their communities. This study evaluated a health consultation ... ...
Abstract | Beyond physical pain, patients with coronavirus disease 2019 (COVID-19) experience psychological anxiety during and after quarantine, often facing negative perceptions when returning to their communities. This study evaluated a health consultation program in Korea for post-quarantine patients with COVID-19, designed to help them return to their communities. The program was conducted from 9 March to 5 June 2020, in Daegu, Korea. In total, 20 doctors and 504 recovered patients were surveyed via questionnaire. The survey, comprising open-ended questions rated on a five-point Likert scale, was based on the Context–Input–Process–Product program evaluation model. Reliability was assessed, and descriptive statistics were obtained. A regression analysis was performed on factors affecting product (output) areas. As a main result, both doctors and recovered patients evaluated the program positively. The mean program effectiveness score was 4.00 in the doctors’ evaluations and 3.95 in the patients’ evaluations. Moreover, the input and process variables affected the product. This first-of-its-kind health consultation program proved to be an effective practical intervention for patients returning to the community after an infectious disease; it also highlights aspects that could increase satisfaction in systemized subsequent programs, with input and process areas for patients and doctors. |
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Keywords | COVID-19 ; pandemic ; consultation ; context–input–process–product ; evaluation ; Medicine ; R |
Subject code | 796 |
Language | English |
Publishing date | 2022-06-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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