This study aimed to identify factors that influence the intention to use smart monitor-based mobile health (SBM) technology among middle-aged inpatients, based on the technology acceptance model II (TAM II).
A total of 222 participants were surveyed. Data were analyzed using SPSS Statistics 23.0 and IBM SPSS Amos 23. Seven exogenous variables–social influence (SI), personal self-efficacy, (PSE), environmental self-efficacy (ESE), health literacy, health concerns, resistance to innovative technology (RIT), accessibility (AC)– and three endogenous variables–perceived ease of use (PEOU), perceived usability (PU), and intention to use (ITU)–were investigated.
The hypothesized path model demonstrated a good fit for the data. SI (β = .13,
This study demonstrates that the TAM II can be used to effectively predict ITU in SBMs among middle-aged inpatients. To expand the intention to use SBMs, it is necessary to develop SBMs that include content and programs that promote PU, SI, and PEOU.
Patient-centered care is a widely utilized concept in nursing and health care. However, the key components of patient-centered nursing have not yet been reported. Moreover, previous studies on patient-centered care have mostly focused on components of nursing rather than organizational factors. Therefore, a comprehensive understanding of influential factors of patient-centered care is required.
The purpose of this study was to develop a theoretical model based on person-centered care theory, and the relevant literature and to test the developed model with covariance structure analysis in order to determine the causal paths among the variables.
The model fit indices for the hypothetical model were suitable for the recommended level (goodness of fit index=.87, standardized root mean residual=.01, root mean square error of approximation=.06, Tucker-Lewis index=.90, comparative fit index=.92, parsimonious normed fit index=.75). In this study, five of the six paths established in the initial hypothetical model were supported. The variables of teamwork, self-leadership, and empathy accounted for 56.4% of hospital nurses' patient-centered care. Among these, empathy was the strongest predictor of patient-centered care.
These results suggest that it is necessary to use strategies to improve self-leadership and empathy. In addition to enhancing the personal factors of nurses, nursing organizations should strive for effective multidisciplinary cooperation with active support for patient-centered care and openness to change.
The purpose of this study was to develop a scale to measure person-centered critical care nursing and verify its reliability and validity.
A total of 38 preliminary items on person-centered critical care nursing were selected using content validity analysis of and expert opinion on 72 candidate items derived through literature review and qualitative interviews. We conducted a questionnaire survey with 477 nurses who worked in intensive care units. The collected data were analyzed using exploratory factor analysis (EFA) and confirmative factor analysis (CFA) with SPSS and AMOS 24.0 program.
EFA was performed with principal axis factor analysis and Varimax rotation. The 15 items in 4 factors that accounted for 50.8% of the total variance were identified by deleting the items that were not meet the condition that the commonality should be .30 or more and the factor loading over .40. We named the factors as compassion, individuality, respect, and comfort, respectively. The correlation coefficient between this scale and the Caring Perception Scale was
The reliability and validity of the 15 item person-centered critical care nursing scale were verified. It is expected that the use of this scale would expand person-centered care in critical care nursing.
For cardiovascular patients, family caregivers play a vital role in daily nursing and cardiac emergencies. This study aimed to evaluate the effect of patient-centered CPR education (PCE) for family caregivers of patients with cardiovascular diseases.
Fifty-four participants were randomly assigned to the PCE or control group. The PCE group received tailored counseling on overall cardiovascular disease information and CPR followed by interactive instructor-guided CPR training and re-education follow-up by telephone 2 weeks later. The control group received only video-based CPR self-education and booklets. Cardiovascular disease and CPR knowledge and self-efficacy were measured before (pre-test), immediately after (post-test 1), and 4 weeks after the PCE (post-test 2). CPR skills and performance were measured pre-test and at post-test1.
The PCE group demonstrated significant improvements in knowledge (F=91.09,
This is the first study to demonstrate the effects of a patient-centered intervention with CPR education tailored for patients' and family caregivers' preferences, needs, and lifestyles. The results of this study encourage the use of tailored, patient-centered interventions in cardiovascular nursing practice.