Covid-19 patient satisfaction and associated factors in telemedicine and hybrid system

Bibliographic Data

ID22086347
AuthorsDagmawit G Gashaw (Ethiopian Public Health Institute, corresponding author), Zewdie Aderaw Alemu (St. Paul's Hospital Millennium Medical College), Freddy Constanzo (0000-0002-7231-4370, Universidad Católica de la Santísima Concepción, corresponding author), Feben T Belay (Ethiopian Public Health Institute), Yakob W Tadesse, Y Tadesse (Government of Ethiopia), Carla Muñoz (0000-0001-5968-6076), Carla G Munoz (0000-0003-2318-2129, Universidad Católica de la Santísima Concepción), Juan Pablo Rojas, Juan Pablo Rojas Hernández (0000-0003-4704-2171, Universidad Católica de la Santísima Concepción), Cristobal Alvarado-Livacic (Universidad Católica de la Santísima Concepción)
Year2024
Volume12
Pages1384078-1384078
Publication date2024-04-05
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1384078
PMID38645451
OpenAlexW4393975864
LanguageEN
Citations received1
References cited29

Background The quality assessment of the home-based isolation and care program (HBIC) relies heavily on patient satisfaction and length of stay. COVID-19 patients who were isolated and received HBIC were monitored through telephone consultations (TC), in-person TC visits, and a self-reporting application. By evaluating patient satisfaction and length of stay in HBIC, healthcare providers could gauge the effectiveness and efficiency of the HBIC program. Methods A cross-sectional study design enrolled 444 HBIC patients who answered a structured questionnaire. A binary logistic regression model assessed the association between independent variables and patient satisfaction. The length of stay in HBIC was analyzed using Cox regression analysis. The data collection started on April (1–30), 2022, in Addis Ababa, Ethiopia. Results The median age was 34, and 247 (55.6%) were females. A greater proportion (313, 70.5%) of the participants had high satisfaction. Higher frequency of calls (>3 calls) (AOR = 2.827, 95% CI = 1.798, 4.443, p = 0.000) and those who were symptomatic (AOR = 2.001, 95% CI = 1.289, 3.106, p = 0.002) were found to be significant factors for high user satisfaction. Higher frequency of calls (>3 calls) (AHR = 0.537, 95% CI = 0.415, 0.696, p = 0.000) and more in-person visits (>1 visit) (AHR = 0.495, 95% CI = 0.322, 0.762, p = 0.001) had greater chances to reduce the length of stay in the COVID-19 HBIC. Conclusion 70.5% of the participants had high satisfaction with the system, and frequent phone call follow-ups on patients’ clinical status can significantly improve their satisfaction and length of recovery. An in-person visit is also an invaluable factor in a patient’s recovery

Cross-sectional study · Disease · Family medicine · Health care · Logistic regression · Patient satisfaction · Telemedicine · Family and Patient Care in Intensive Care Units · Geriatric Care and Nursing Homes · Medicine · Nursing · Telemedicine and Telehealth Implementation · Internal Medicine

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