Nursing Theories and Approaches in Practice

Aldohaian, A. I., Alshammari, S. A., & Arafah, D. M. (2019). Using the health belief model to assess beliefs and behaviors regarding cervical cancer screening among Saudi women: A cross-sectional observational study. BMC Women’s Health, 19(1). Web.

The study explores the phenomenon of cervical cancer prevalence using the Health Belief Model to analyze and create a scale to collect more accurate information. According to the analysis, cervical cancer has a specific place among the most common gynecological cancers, ranking third among all cancers among women. The study also aims to demonstrate the most effective method of primary prevention, the main of which is the Pap smear test. It is also noted that preventive vaccination against HPV is also an influential factor in reducing the prevalence of the disease. A descriptive cross-sectional study was conducted among Saudi women living in Riyadh. The women were randomly selected, and the total sample size was 450 individuals. A pre-designed self-completion questionnaire was used for data collection, which included the Health Belief Model scale related to the interviewed subjects’ health. Thus, the Health Belief Model made it possible to collect and analyze information about patients and their disease, which will objectively improve the work on decisions in the future.

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The researchers collected and analyzed data based on a pre-designed self-administered questionnaire. The questionnaire was based on the results of three validated published studies conducted in Turkey, Egypt, and Saudi Arabia. The questionnaire includes questions on the following topics: sociodemographic characteristics, knowledge about cervical cancer and the Pap smear test, HPV-related questions, and the Health Belief Model scale. The Health Belief Model, or HBM for short, is used in this study as the basis for the analysis of medical information. Since the HBM on human behavior is related to health, the authors of the work found it extremely important to predict future actions. The model has been tested, translated, and used to study the specific characteristics of different women in different cultures. Thus, this article highlights a concrete manifestation of the effectiveness of the HBM in the treatment of people who have cancer. In the future, this application of the model will allow collecting and analyzing data on patients with greater efficiency, which will positively affect further treatment.

Franck, L. S., & O’Brien, K. (2019). The evolution of family‐centered care: From supporting parent‐delivered interventions to a model of integrated family care. Birth Defects Research, 111(15), 1044–1059. Web.

The study notes that there is growing recognition that parents play a critical role in improving children’s health, reflecting the effectiveness of the family assessment and intervention model during treatment. As an example, the study looks at cases of low birth weight babies, as well as the specifics of family care for premature babies. It is illustrious that despite a large amount of literature on the family assessment and intervention model in infant care, there are still specific difficulties. Parent involvement in caring for these infants is still limited in many neonatal intensive care units.

The researchers propose a taxonomy method for classifying parent-oriented cases. Moreover, a method derived from the family assessment and intervention model suggests improved care with the participation of parents, which is necessary to help researchers, clinical groups, and health systems in general. Researchers have also found that the physical environment of the hospital and neonatal intensive care unit affects parental involvement in infant care. Families who have been provided with specially designed bedding next to their sick infant or child report a better hospital experience. In doing so, this article demonstrates the effectiveness of the family assessment and intervention model in developing more effective medical care for children and infants. In the future, the data provided can positively affect the effectiveness of the work of nurses and their interaction with sick children.

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