Research Methods In Health And Social Care Assignment

Research Methods In Health And Social Care Assignment

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Task - 1 Definition of epistemology and Ontology:

Epistemology refers to the term related to the philosophical study of origin, nature, and limits of human knowledge. The term epistemology is derived from two Greek words, episteme, and logos. “Episteme” means knowledge and “logos” mean reasons, according to the sum of the name it means the theory of knowledge. Epistemology is the study of knowledge that determines the nature of knowledge.

Epistemology helps in understanding the relevance of social and healthcare issues. It helps in understanding the perfect physiological functions that are presented in a healthy body. It is concerned with understanding and analyzing good physical, social, and psychological well-being. Its main purpose is to acquire different kinds of methods for getting the perfect knowledge in social science (Thomas et al. 2020). It helps in evaluating the knowledge with the help of conducting social research. Epistemology in healthcare refers to the study of medical or biological knowledge. It helps physicians in understanding and analyzing the different kinds of diseases and acquiring the knowledge to cure them. Therefore Epistemology is termed as the knowledge which helps in evaluating the different kinds of methods to acquire knowledge related to health and social care services. It deals with investigating the fields of health and social care to acquire knowledge through data. It refers to the principle which implements the procedures for ensuring the legitimacy of knowledge. The NHS has conducted a health research program that has the role of health and social care policies to improve treatment and to analyze effective health restoration measures.

Figure 1: “Research Methodology”

(Source: Zhong et al. 2019)

Ontology refers to a philosophical branch that deals with the classification of entities and their explanation. Ontology is about conducting an inquiry that helps in examining a set of objects. It is the model of knowledge that deals with finding and representing a domain among the concepts. It generally focuses on the representation of medical terminologies. Doctors developed their knowledge and languages in order to maintain general medical knowledge and information about the patients. It is important in health care as it gives the ability of clinical systems to support the reasoning (Zhong et al, 2019). Social ontology is the study that helps in analyzing the various entities from social interactions. Ontology in social and health care indicates analyzing the various entities in respect of the study and nature with the help of social interaction as well as health care. Ontology helps in supporting the basic science data and also social knowledge that enables the classification of patients according to the existing data. It helps in analyzing the combination of data that provides an opportunity to discover of associations and to gain diagnostic as well as therapeutic insights. Ontology helps in the classification of diseases that divide diseases into various classes, species, and orders. Ontology also helps in analyzing rare diseases from previous data. It also helps in discovering the researched data by using ontology. It makes clinical science observations computable and presents the knowledge through conducting data. Therefore, ontology helps in analyzing the data and analyzing them to a greater extent.

Task - 2 Evaluation of research methods for social and Health care:

"Qualitative research" is termed as the umbrella which covers the array of techniques and interpretations that describe, translate, decode, and find the meaning of certain naturally occurring phenomena in the social world. It is based on experiments and methods of service. It uses statistical methods and is deductive in nature. It is termed a research action with the help of observation and different kinds of methods. The researchers use verified data that are reliable in nature. Qualitative research has faced an experience in growth with the development of theories that are grounded (L. Haven and Van, 2019). It is more suitable as it gives an emphasis on the experience of the people. It is based on knowledge by providing a sense of orientation and order. It has some disadvantages as it is very simple in nature and ignores the research's issues. Qualitative research approaches are termed as the approach which helps in conducting qualitative research. There are three kinds of approaches that are used in Qualitative research; these are ethnography, phenomenology, and grounded theory.

Figure 2: “Qualitative Research”

(Source: Johnson et al. 2020)

(a) Ethnography:

In this approach, the researchers generally study the overall function and structure of people. The main aim of this approach is to give a picture of the study related to the social groups and evaluate the social and cultural system of a specific group. This could be the history, economy, politics, and environment of a specific group. The study observes the popular methods and also expresses concern about anthropological methods which may be misused in the medical professions (Johnson et al, 2020). Ethnography is used in topics related to health beliefs and practices which allow the issues and also broaden the understanding of behavior that relates to health and illness.

(b) Phenomenology:

Qualitative research is based on understanding the phenomenon of the overall holistic interest. It is widely embraced with different kinds of research and it can be referred to as an interpretive theory, paradigm of inquiry, and philosophy of research methods of the framework. Phenomenologists are interested in the phenomena that they have experienced.

(c) Grounded Study:

A qualitative approach is a grounded study as it is the core of the research study. It set out to construct a theory from the data which have obtained through analysis. The data is used in qualitative data generation to research according to the core of the methods. Grounded studies are conducted by analyzing the core of the data which are connected with the main roots in the research process.

Qualitative research instruments are used for collecting the data through observations, analysis of documents, and interviews. To gather the overall data, interviews are the most effective technique to acquire structural information. In health care, semi-structured interviews are used to conduct the research as it is a more flexible topic and provides an open-ended question structure for exploring experience (Bergen and Labonté, 2020). It has some advantages for great flexibility and it also enables the researchers to develop an informative report according to the data which are conducted through research. Qualitative research helps in analyzing the core factor of the research.

Task - 3 Plan of research Study in social and Health care:

Health research, healing theory, and sober practice form the three cornerstones of the new age of healing practice. As many experts say: Health research is not a pleasure; it is an essential need that no sovereign nation can ignore. A research proposal aims to ensure that you have a useful research project, the ability to complete it, and a complete plan. The research function on “Health and social care” is a good starting point for this part (Viero et al. 2021). Using case studies of current research can help learners understand the purpose of research and benefit from specific research. Questions like: Surprisingly, one of the reasons the study was completed was because it would help learners recognize its characteristics.

An understanding of moral issues can be achieved by having small groups of learners frame their research as demonstrably fraudulent, interviewing other groups to identify moral issues, and suggesting habits to discuss bureaucracy can be further enhanced. Inviting recipient speakers is complicated to research, but hopeful and ideal if realistic. Methodologies can be studied in small groups and the main points are communicated to the class. Both subordinate and foundational research formats should be considered (Aveyard, 2023). Learners discuss the strengths and weaknesses of each form of research, praising the highest-ranking researchers for possible causes.

Before embarking on their research, learners need some support in stating facts and formulating together useful and moral theories and goals. Design options must be identified to support the preparation process. Appropriate headings and key points can be added by the researcher. The learner must coordinate and approve the project before work can begin. Learners can share their plans and accept responses before proposing plans (Aughterson et al. 2021). A limited study period before implementation allows students to further develop their research answers. Conducting research results requires a careful project as each part is exhausted. For example, a survey may be held before being sent out, or an exam grid may be blocked before being handed over to the secondary. Ethical issues require careful consideration and consent. Appropriate motivation must be established to enable learners to make decisions.

The usefulness of the research needs to be considered in light of what happened as a result of the judgment and what would have happened if the research had not been transferred. Our understanding of moral issues suggests that a limited group of learners find research demonstrably disingenuous and that other studies are used to suggest patterns of behavior in identifying moral issues and relaying bureaucracy. It is also reinforced by the fact that you want to get to know the group. Inviting tenant representatives is complicated in searching for hopeful ideas when it is available. Laws are best employed when learners make appropriate taxonomies and summaries the main points (Moudatsou et al. 2020). Creating posters that say "Differences and Additions" and categorizing the dominating classes by subject area can help draw attention to important issues for learners as they move on to the next department.

Task-4 Data Analysis:

To consider the data on “health and social care” and their function in health care, we must first accept the dossiers calmly and resolutely. Records of deception and processes are created within the framework of health care, but mass coercive files are also edited, stored, and resolved. Medical data analytics is a record of the health of a patient or mixed subject. These facts are compiled from numerous “Health Information Systems (HIS)” and other health data sheets maintained by medical professionals, health associations, and governing bodies (Hariri et al. 2019). Health workers can present a comprehensive view of each patient not only by individual patient but by region, socioeconomic status, race, and preparedness. Because the facts are silent, it can be difficult to distinguish resolvable records.

In today's world, the set of data on the background of healthcare is becoming more and more modern. This document not only contributes to improving normal movement and improving patient care but also enables secondary prediction of poses. Instead of seeing and not buying facts and breaking news, you can use the two datasets together to develop your style and make predictions. The salary method of Pay-for-help style health care should be abolished (Webb et al. 2021). The growing demand for patient-centered or profit-centered first-line medicine has led to a major shift towards predictable and compelling community health interventions in modern times. Looking at the data, it seems more likely. Health Document Science by Logical Analysis aims to reduce travel and process costs in healthcare. Therefore, the situational costs of the affected people are reduced equally.

Rather than outright manipulating syndromes each time they appear, experts warn victims who are at very high risk of developing chronic illnesses and do enough to help treat them before they become a problem wise. This reduces costs for professionals, guarded guests, and patients as the deterrent situation avoids endless troubles and costly hospitalizations. If treatment is required, documentary science through logical analysis helps professionals assess the risk of contamination, degeneration, and readmission. This greatly helps reduce costs and improve patient care. Consider the impact this has had on the entire “COVID-19” community (Jones et al. 2021). This issue will be resolved as soon as possible to better understand the nature of the virus and predict future developments, allowing us to slow the spread and prevent future outbreaks.

Logical analytics data science helps healthcare artists and arrangements. Both healthcare providers and energy providers need smart energy data and a dossier. Without proper documentation, decisions cannot be made that best consider the interests of those affected. The data helps these organizations create the documents they need to make decisions that enable better patient care. This not only improves the course of the disease but also prolongs the duration of the disease. Hundreds of thousands around the world are getting the health care they need in the corona virus situation. Medical facilities are using document data to navigate rampant welfare conflicts and improve the treatment of inmates (Neale, 2020). The main advantage of using health document data is that many documents are sporadically corrupted. An "Electronic Health Record (EHR)” is a method of storing patient-related documentation in an organized format.

References:

Al-Ababneh, M.M., 2020. Linking ontology, epistemology and research methodology. Science & Philosophy, 8(1), pp.75-91.

Aughterson, H., McKinlay, A.R., Fancourt, D. and Burton, A., 2021. Psychosocial impact on frontline health and social care professionals in the UK during the COVID-19 pandemic: a qualitative interview study. BMJ open, 11(2), p.e047353.

Aveyard, H., 2023. Doing a Literature Review in Health and Social Care: A Practical Guide 5e.

Bergen, N. and Labonté, R., 2020. “Everything is perfect, and we have no problems”: detecting and limiting social desirability bias in qualitative research. Qualitative health research, 30(5), pp.783-792.

Hariri, R.H., Fredericks, E.M. and Bowers, K.M., 2019. Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data, 6(1), pp.1-16.

Hunter, D., McCallum, J. and Howes, D., 2019. Defining exploratory-descriptive qualitative (EDQ) research and considering its application to healthcare. Journal of Nursing and Health Care, 4(1).

Johnson, J.L., Adkins, D. and Chauvin, S., 2020. A review of the quality indicators of rigor in qualitative research. American journal of pharmaceutical education, 84(1).

Jones, K.C. and Burns, A., 2021. Unit costs of health and social care 2021.

Haven, T. and Van Grootel, D.L., 2019. Preregistering qualitative research. Accountability in research, 26(3), pp.229-244.

Moudatsou, M., Stavropoulou, A., Philalithis, A. and Koukouli, S., 2020, January. The role of empathy in health and social care professionals. In Healthcare (Vol. 8, No. 1, p. 26). MDPI.

Neale, J., 2020. Research methods for health and social care. Bloomsbury Publishing.

Thomas, A., Lubarsky, S., Varpio, L., Durning, S.J. and Young, M.E., 2020. Scoping reviews in health professions education: challenges, considerations and lessons learned about epistemology and methodology. Advances in health sciences education, 25, pp.989-1002.

Viero, A., Barbara, G., Montisci, M., Kustermann, K. and Cattaneo, C., 2021. Violence against women in the Covid-19 pandemic: A review of the literature and a call for shared strategies to tackle health and social emergencies. Forensic science international, 319, p.110650.

Webb, R., Uddin, N., Ford, E., Easter, A., Shakespeare, J., Roberts, N., Alderdice, F., Coates, R., Hogg, S., Cheyne, H. and Ayers, S., 2021. Barriers and facilitators to implementing perinatal mental health care in health and social care settings: a systematic review. The Lancet Psychiatry, 8(6), pp.521-534.

Zhong, B., Wu, H., Li, H., Sepasgozar, S., Luo, H. and He, L., 2019. A scientometric analysis and critical review of construction-related ontology research. Automation in Construction, 101, pp.17-31.