THE USE OF HEALTHCARE TECHNOLOGY IN IMPROVING PATIENT SATISFACTION IN THE REPUBLIC DEMOCRATIC OF CONGO DURING THE COVID-19 PANDEMIC / ACACIA MUJANAYI TSHALA; SUPERVISOR: ASSOC. PROF. DR. FIGEN YEŞİLADA
Dil: İngilizce 2022Tanım: 122 sheets; 31 cm. Includes CDİçerik türü:- text
- unmediated
- volume
Materyal türü | Geçerli Kütüphane | Koleksiyon | Yer Numarası | Durum | Notlar | İade tarihi | Barkod | Materyal Ayırtmaları | |
---|---|---|---|---|---|---|---|---|---|
Thesis | CIU LIBRARY Tez Koleksiyonu | Tez Koleksiyonu | YL 2421 T74 2022 (Rafa gözat(Aşağıda açılır)) | Kullanılabilir | Health Care Organizations Management Department | T2728 | |||
Suppl. CD | CIU LIBRARY Görsel İşitsel | YL 2421 T74 2022 (Rafa gözat(Aşağıda açılır)) | Kullanılabilir | Health Care Organizations Management Department | CDT2728 |
Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Health Care Organizations Management
Includes bibliography (sheets 93-107)
ABSTRACT
This research explores the use of healthcare technologies in improving patients’ satisfaction in the DRC during the COVID-19 pandemic. The main objective of this study was to examine the relationship between perceived telemedicine quality, telemedicine satisfaction, perceived service quality and patient satisfaction in the DRC in order to assess if healthcare technologies improves patient satisfaction in the DRC as it was proven to do in the western countries during the COVID-19 pandemic. In the pursuit to achieve the study objective, a questionnaire of 65 adopted scales was distributed to the participants of the study. The data was tested for validity and reliability using the Kaiser-Meyer-Olkin and the Cronbach’s Alpha. Further analysis consisted of assessing if the model fit the data by using the Confirmatory Factor Analysis. Moreover, the Pearson’s r correlation was used to assess the correlation amongst the variables of interest. Lastly the Structural Equation Modelling was used to test the proposed hypotheses. The results of the analysis indicated that the adopted questionnaire was suitable to measure the variable of interest in the DRC. It was also shown that the proposed model fit the data and that there was a positive correlation amongst the variables of interest. In addition it was also shown that perceived telemedicine quality has a direct effect on telemedicine satisfaction. Telemedicine satisfaction was also shown to have a direct effect on perceived service quality. Furthermore, telemedicine satisfaction was proven to have a direct effect on patients’ satisfaction. Moreover, it was also demonstrated that perceived service quality has a direct effect on patient satisfaction. Overall it was concluded that the use of healthcare technologies improved patients’ satisfaction in the DRC during the COVID-19 pandemic. However, the variation in the equipment used for telemedicine service impacted the relationship amongst the variables of interest.
Keywords: Healthcare technology, Patient satisfaction, Service quality, Telemedicine