Background: The crisis caused by the child's illness and hospitalization affects all family members. Fear, worry, and anxiety are common issues of hospitalized children’s mothers. Betty Newman's system model plays a vital role in adapting to stress detection and control. Objectives: This study aimed to examine the effect of the behavioral systems model on the concerns of mothers of children admitted to the surgical ward. Methods: This quasi-experimental study was conducted on 60 mothers of children admitted to the surgical ward of the Mousavi Hospital, Gorgan, Iran, in 2020. The participants were selected using convenience sampling and then divided into test and control groups using non-probability sampling. According to Neuman's systems model, participants in the test group received nursing care in 3 - 4 sessions (each lasting 30 - 45 minutes). Participants in the control group received only routine ward care. Data were collected using the Parental Concern Scale and analyzed with IBM SPSS Statistics 21 software using statistical tests (analysis of covariance, unpaired samples t-test, and paired sample test). Results: The mean score of maternal concerns before the intervention was 42.6 ± 3.06 in the control group and 43.21 ± 2.27 in the test group. The results of the independent samples t-test did not show any significant difference between the groups in terms of maternal concerns (P = 0.11). The mean post-intervention maternal concern score was 37.6 ± 2.71 and 41.716 ± 2.55 in the test and control groups, showing a significant difference between the groups as indicated by the t-test results (P < 0.01). However, the paired t-test outcomes showed no difference in the mean maternal concern score in the control group before and after the intervention (P = 0.92). In contrast, there was a significant difference in the mean maternal concern score in the test group before and after the intervention (P < 0.01). Conclusions: Given the effectiveness of Betty Neuman’s systems model, it can be used as a low-cost, effective care method to reduce maternal stress as the model was developed for understanding clients’ and caregivers’ needs and reducing their stress.
Objectives: The COVID-19 pandemic exposed healthcare workers to heavy stress and made them vulnerable to various types of mental illnesses. This study aims to evaluate the psychological effects of the COVID-19 pandemic on the mental health of healthcare workers in the COVID-19 ward. Methods: This study was performed during the first peak of the COVID-19 pandemic in 9-Dey Hospital of Torbat Heydarieh in Iran, in which a total of 178 healthcare workers in the COVID-19 ward participated via the census sampling method. In this study, we employed the Goldberg general health questionnaire along with a researcher-made questionnaire on the experience of exposure to COVID-19 disease. Following the completion of the questionnaires, the participants’ data were analyzed by the SPSS software and statistical tests (the Spearman and Pearson correlations). Results: Our results showed 91.1%, 77.57%, 87.55%, 87.07%, 56.75%, and 74.16% for the general health, physical symptoms, anxiety symptoms, sleep disorders, social dysfunction, and depression symptoms, respectively, during the COVID-19 pandemic conditions. The results showed a significant association between the experience of exposure to COVID-19, anxiety symptoms, and sleep disorders (P<0.05). Discussion: Access to counseling and psychotherapy systems, rehabilitation, and the improvement of working conditions can effectively enhance resilience and promote the mental health of healthcare workers and increase the quality of care and treatment services.
Objectives: Considering the need of diabetic patients for accessing the care system and the role of modern media in health education and culture, we aimed to determine the effectiveness of educating via mobile SMS in controlling blood sugar. Moreover, the adherence to drug treatment of patients with type 2 diabetes was assessed. Methods: This quasi-experimental study was conducted in Isfahan City, Iran in 2018. A total of 100 diabetic patients participated in the case (intervention) and control groups. The control group underwent conventional therapies and training. SMS training was applied for the intervention group in addition to the conventional therapies. Collecting the information and data to assess adherence to patients’ treatment was done using a researcher-made 18-item questionnaire. Analyzing data was performed in SPSS software, version 20 through the employment of the independent t test, paired t test, and multivariate analysis of covariance. Results: Based on the independent t test results, no significant difference was detected between the two study groups at any time points (P>0.05) in terms of the mean fasting blood sugar. However, by analysis of covariance and adjusting the fasting blood sugar level before the intervention in the studied groups, the mean fasting blood sugar was recognized to be significantly lower in the intervention group compared to the control group in the second month (P=0.048) and the third month after the intervention (P=0.008). Discussion: There is an association between SMS education and fasting blood sugar control and adherence to treatment in the studied patients. In the field of health care education, it is possible to use patient communication techniques and short message services to control follow-up and monitor interventions.
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