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The present study was conducted to determine the extent of observation of patients' privacy by physicians and nurses and its relationship with patient satisfaction. This descriptive correlational study was conducted on 600 patients selected by convenience sampling. Based on the patients' points of view, the level of observation of patients' privacy and its dimensions, especially the psychosocial dimension, were reported to be higher in nurses than in physicians. Pearson's correlation coefficient showed a direct and significant relationship between the observation of privacy by the nurses and physicians and different dimensions of patient satisfaction. [ABSTRACT FROM AUTHOR]

The current study aimed to estimate the prevalence of depression, anxiety, and suicidality and their correlated factors among high school students in Jordan. A descriptive cross-sectional correlational research design was used. Data were collected using self-reported questionnaires completed by students attending high schools in Jordan. Data show that anxiety and depression are prevalent among adolescents and are associated with higher risk of suicide and disease prevalence. Twenty-seven percent of the variance in suicidality is explained by anxiety and depression. This finding indicates that the most significant predictor of suicidality is anxiety and depression among high school students. Results show that mental health issues are a genuine general health issue among high school students. Health care professionals should routinely screen for mental health problems among young people. Mental health and well-being advancement programs should be coordinated and directed by all parties involved in youth mental health. [Journal of Psychosocial Nursing and Mental Health Services, 59(8), 43–51.] [ABSTRACT FROM AUTHOR]

Objectives: Health system responsiveness is a complicated issue that guides researchers in determining an efficient methodology to enhance the understanding of health care systems' perspectives. This study examined the relationship between patients' experience profiles and their satisfaction with medical outcomes. Design: The authors used 11 items from the Taiwanese Annual National Health Insurance survey and used latent class analysis (LCA) to develop experience profiles for 2012 Traditional Chinese Medicine (TCM) patients. A logistic regression model was developed to explore differences in patients' satisfaction with their treatment outcome across four groups identified using the LCA, with adjustment for demographic factors. Subjects: Patients' experiences with medical services in TCM in 2015. Outcome measures: Patients' satisfaction with their treatment outcome. Results: Participants (N = 2012) were divided into four groups. Regardless of gender and age, Group 2 (nall) held the lowest satisfaction with treatment outcome relative to those reported by the other three groups (odds ratios with p-value: Group 1 [pall]: 7.40, Group 3 [nComm]: 1.37, Group 4 [Skip]: 2.20, p < 0.001). Respondents with a more favorable patient experience reported higher satisfaction with treatment outcome. Conclusions: An increased favorable treatment experience in TCM (such as positive accessibility and better interpersonal relationships with providers) is associated with higher satisfaction with treatment outcome. The World Health Organization emphasizes that traditional medicine integrated with Western medicine can play an important role in achieving the goal of "Health for All." Health authorities should develop strategies aimed at enhancing patients' experiences in TCM to contribute to a positive care process. [ABSTRACT FROM AUTHOR]

The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value. Determining the p-value requires knowledge of a probability function. Howan appropriate statistical model is selected and how the p-value is determined usingthis model, the null hypothesis and the empirical data is explained using the t-distribution. When interpreting the p-value obtained in this way, two incompatible statistical schools of thought are confronted: the orthodox Neyman-Pearson hypothesis test, which amounts to a decision between the null hypothesis and a complementary alternative hypothesis, and Fisher's significance test, in which no alternative hypothesis is formulated and in which the smaller the p-value, the greater the evidence against the null hypothesis. The amount ends with some critical remarks about the handling of p-values. [ABSTRACT FROM AUTHOR]