DATA SOURCES: A systematic review of English articles indexed by PubMed, Thomson Institute of Scientific Information's Web of Science, and Elsevier's Scopus between 1998 and 2020.
STUDY SELECTION: The first author (N.N.) screened all titles and abstracts based on the eligibility criteria. Experimental and empirical articles such as randomized and nonrandomized controlled trials, pre-experimental studies, case studies, surveys, feasibility studies, qualitative descriptive studies, and cohort studies were all included in this review.
DATA EXTRACTION: The first, second, and fourth authors (N.N., W.I., B.N.) independently extracted data using data fields predefined by the third author (M.B.). The data extracted through this review included study objective, study design, purpose of telerehabilitation, telerehabilitation equipment, patient/sample, age, disease, data collection methods, theory/framework, and adoption themes.
DATA SYNTHESIS: A telerehabilitation adoption process model was proposed to highlight the significance of the readiness stage and to classify the primary studies. The articles were classified based on 6 adoption themes, namely users' perception, perspective, and experience; users' satisfaction; users' acceptance and adherence; TeleRehab usability; individual readiness; and users' motivation and awareness.
RESULTS: A total of 133 of 914 articles met the eligibility criteria. The majority of papers were randomized controlled trials (27%), followed by surveys (15%). Almost 49% of the papers examined the use of telerehabilitation technology in patients with nervous system problems, 23% examined physical disability disorders, 10% examined cardiovascular diseases, and 8% inspected pulmonary diseases.
CONCLUSION: Research on the adoption of telerehabilitation is still in its infancy and needs further attention from researchers working in health care, especially in resource-limited countries. Indeed, studies on the adoption of telerehabilitation are essential to minimize implementation failure, as these studies will help to inform health care personnel and clients about successful adoption strategies.
METHODS: This study was conducted in December 2017-February 2018 in the dental department of Labuang Baji, which is a government hospital and Ibnu Sina Hospital, which is a private hospital. The samples were all patients who received dental treatment. Patient satisfaction was measured using a questionnaire (PSQ-18). Data were tested using Independent T-Test and ANOVA using SPSS version 24.
RESULTS: There were significant differences in accessibility, comfort, and communication between the public and private hospitals (p<0.05); the average value of patient satisfaction was higher in private hospitals.
CONCLUSION: Patients in private hospitals are more satisfied with the health services provided by health care providers, compared to patients in public hospitals.
Aim: The aim of the study was to construct the Trust in Nurse Scale on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick.
Methods: The study included a group of 1,200 people selected at random, 600 each from surgical and medical treatment wards. Patients did not report any problems with understanding the statements on the scale.
Results: The internal accuracy scores were excellent, all Cronbach's a values were well above 0.70. The Spearman's rank correlation coefficient values were highly statistically significant (p <0.001), and correlation strength was very high (for most items rs > 0.90).
Conclusion: We suggest that The Trust in Nurse Scale, developed on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick, can be used in studies on patient satisfaction with nursing care.