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1.
Int J Nurs Pract ; 24(2): e12619, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29356202

ABSTRACT

BACKGROUND: Personal digital assistants, technology with various functions, have been applied in international clinical practice. Great benefits in reducing medical errors and enhancing the efficiency of clinical work have been achieved, but little research has investigated nurses' satisfaction with the use of personal digital assistants. AIM: To investigate nurses' satisfaction with use of personal digital assistants, and to explore the predictors of this. DESIGN: This is a cross-sectional descriptive study. METHODS: We conducted a cross-sectional survey targeting nurses who used personal digital assistants in a comprehensive tertiary hospital in Beijing. RESULTS: A total of 383 nurses were recruited in this survey in 2015. The total score of nurses' satisfaction with use of personal digital assistants was 238.91 (SD 39.25). Nurses were less satisfied with the function of documentation, compared with the function of administering medical orders. The time length of using personal digital assistants, academic degree, and different departments predicted nurses' satisfaction towards personal digital assistant use (all P < 0.05). CONCLUSION: Nurses were satisfied with the accuracy of administering medical orders and the safety of recording data. The stability of the wireless network and efficiency related to nursing work were less promising. To some extent, nurses with higher education and longer working time with personal digital assistants were more satisfied with them.


Subject(s)
Attitude of Health Personnel , Computers, Handheld , Job Satisfaction , Nursing Staff, Hospital , Adult , China , Cross-Sectional Studies , Female , Humans , Male , Young Adult
2.
J Clin Nurs ; 23(15-16): 2247-54, 2014 Aug.
Article in English | MEDLINE | ID: mdl-24393346

ABSTRACT

AIMS AND OBJECTIVES: To explore the effect of continuous nursing intervention guided by chronotherapeutics so as to provide the easy, noninvasive, effective and acceptable intervention for older hypertensive patients in the community. BACKGROUND: Many researchers studied the effect of administration at different times on blood pressure control and circadian rhythm. However, the individual administrative time was set ambiguously in previous studies. DESIGN: A semi-experimental study. METHODS: In the study, 90 eligible patients were recruited and separated into three groups randomly, which were the control group, intervention group A (behaviour and chronotherapy intervention) and intervention group B (behaviour intervention). At 6 and 12 months after the study, the intervention groups were measured 24-hour ambulatory blood pressure monitoring. RESULTS: There were significant differences in ambulatory blood pressure monitoring parameters of the two intervention groups at different measurement times, and there were interaction between measurement time and different groups. The number of patients with dipper increased and reverse dipper decreased in group A as the intervention applied. There were statistical differences between two groups. The number of patients with morning surge in group A decreased more, and there were statistical differences between two groups at six months after the intervention. CONCLUSIONS: The behaviour and chronotherapy intervention based on the patients' ambulatory blood pressure monitoring can control casual blood pressure much better and last longer, which can also improve patients' indexes of ambulatory blood pressure monitoring better than behaviour intervention only. The behaviour and chronotherapy intervention can increase patients' nocturnal blood pressure drop, increase the number of patients with dipper and decrease reverse dipper, and improve blood pressure surge in the morning. RELEVANCE TO CLINICAL PRACTICE: Nurses can use continuous nursing intervention guided by chronotherapeutics to help improve hypertension of older patients better in the community.


Subject(s)
Hypertension/drug therapy , Practice Patterns, Nurses' , Aged , Antihypertensive Agents/administration & dosage , Blood Pressure , Blood Pressure Determination , Blood Pressure Monitoring, Ambulatory , Chronotherapy , Community Health Nursing , Female , Humans , Hypertension/nursing , Male , Middle Aged
3.
Nurs Health Sci ; 14(4): 528-34, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22957839

ABSTRACT

The purpose of this study was to examine factors that influence the quality of life among Tianjin Chinese living with type 2 diabetes. In this study, the quality of life was assessed in 174 participants. The dependent variables included demographic and clinical data, depressive symptoms and lifestyle behavioral factors. Chi-square tests and logistic regression analysis were conducted to identify significant factors. Using multiple regression analyses, the odds ratios (ORs) of having low quality of life were 4.53 (95% confidence interval (CI) = 1.89-10.87), 2.83 (95% CI = 1.21-6.63), and 2.48 (95% CI = 1.03-5.96) for patients with microvascular complications, diabetic neuropathy, and peripheral vascular disease, respectively. Coronary heart disease, depression, and unhealthy eating habits were also found to have significant negative effects on quality of life. In addition, multiple regression analysis showed that regular exercise (OR = 0.29, 95% CI = 0.12-0.71) was a protective factor for health-related quality of life. The identification of these influencing factors will assist nurses to provide continuous care to people living with diabetes, thus to postpone or avoid complications as well as improve their quality of life.


Subject(s)
Attitude to Health/ethnology , Diabetes Mellitus, Type 2/psychology , Life Style , Quality of Life , Aged , Chi-Square Distribution , China , Confidence Intervals , Cross-Sectional Studies , Depression/epidemiology , Depression/physiopathology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/therapy , Diabetic Neuropathies/epidemiology , Diabetic Neuropathies/physiopathology , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Pain Measurement , Risk Assessment , Severity of Illness Index , Sickness Impact Profile , Surveys and Questionnaires
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