Healthcare Theories and Models for Behavior Prediction

Topic: Healthcare Research
Words: 893 Pages: 3

Introduction

This study aimed to assess the effectiveness of the health belief model in predicting preventive behaviors against COVID-19. The research involved the analysis of multiple articles that utilized the health belief model in analyzing COVID-19-related behavior. Eventually, the study incorporated 32 articles and the results revealed that a majority of the articles agreed with the hypothesis of the research. The health belief model was the subject of this research and its effectiveness as a predictive tool was under study.

The model incorporates a person’s beliefs about a certain healthcare issue and the ability of these thoughts to influence crucial healthcare decisions. The health belief model enabled the researchers to conclude that the prevention of diseases starts first with changing the mindset of the public. In the future, nursing will benefit from this study as it will serve as a template when making predictions about preventive behavior. This will enable nurses to make recommendations to the general public and encourage behavior change practices for better health.

Transtheoretical Model of Behavioral Change

The researchers sought to identify the most effective technological methods of diabetes type-2 prevention through weight management. The study was grounded in the search through various databases to identify articles that analyzed such interventions. The authors discovered that 63% of the intervention were effective in achieving short-term control while 33% were sufficient in achieving long-term control. The researchers concluded that the use of technology-driven mechanisms alongside the integration of behavior change models was vital.

The study integrated the use of the transtheoretical model of behavior change, as the theories utilized alongside the digital features were based on different theories. The integration of this model was crucial in guaranteeing weight maintenance amongst the research subjects within individual articles. In the future, this article will be vital in ensuring nursing is customized to fit specific patients and employs digital methods adequately. People behave differently and change their behaviors based on different fears and motivating factors. Nursing must consider these variations, especially in diabetes type-2 prevention, and offer appropriate counsel to patients.

Social Cognitive Theory

The study focused on identifying reasons for overweight and obesity among women living in Prince George’s County. This was an absurd finding despite the area being filled with affluent women who boasted substantial education and income. The study utilized semi-structured interviews and involved 15 women. The findings of the research indicated that the culture and societal expectations amongst the black people living within the neighborhood encouraged such a weight. The culture was generally more accepting of large and curvier women, discouraging the pursuit of a healthy BMI. Additionally, the COVID-19 pandemic interrupted these women’s weight management measures.

The social cognitive theory was employed in this research through the structuring of the interview and the questions posed to these women. All the aspects of culture likely to influence their weight management measures were captured as prescribed by the theory, aiding in the success of the study. This article will be vital in guiding further research within the nursing field, given the importance of nursing in identifying greater proven techniques. The article will enable nurses to explain some phenomena in society that are crucial to health, and which critically affect healthy living.

Family Systems Theory

The research involved 107 children and 199 parents and sought to establish the prevalence of mental health illnesses amongst siblings of children with chronic disorders. The study involved the use of questionnaires which were filled out by all the participants. The research revealed a significant risk of mental illnesses for these siblings and identified parental intervention as a reprieve for these children. The article was based on the family systems model and sought to establish the familial sequence of mental illnesses (Fredriksen et al., 2021). The influence of chronic illnesses amongst children was used to gauge the possibility of these mental illnesses among siblings. This illustrated the role of family systems and proximity to patients with chronic illnesses in causing mental conditions.

The article will be an essential predictor of the occurrence of mental illnesses among children with siblings who suffer from chronic illnesses. The presence of such causes will arouse a high index of suspicion, necessitating effective intervention measures. Arresting the mental health issues at their onset or preventing their occurrence altogether will be instrumental in guaranteeing total health.

Family Assessment and Intervention Model

The study recruited forty-five families for a study that sought to enable them to overcome the challenges of obesity, glucose intolerance, and/or diabetes. The selected families had one parent with one of the listed conditions and were put through a 12-month intervention involving the maintenance of a healthy weight (Laroche et al., 2022). The families were able to achieve the results in the end, and the research was largely successful. The article utilized the family assessment and intervention model in assessing the needs of each family involved and designing the necessary intervention measure. The model was essential in identifying the families with parents suffering from the diseases identified and measuring the effectiveness of the weight maintenance intervention.

Conclusion

To conclude, the study will be vital in future nursing practice, especially family nursing. The research will be a crucial benchmark for nurses seeking to design interventions for all members of a certain family. This mostly includes families at risk of a certain healthcare challenge that has already affected a parent or previous relatives.