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The health belief model (HBM) is a foundational framework in health behavior research. It was conceptualized in the 1950s to help understand preventative health behavior by social psychologists working in the United States Public Health Service (USPHS), specifically "the widespread failure of people to accept disease preventatives or screening tests for the early detection of asymptomatic ...

Analyses statistically controlled for age, sex, race, education and health‐care coverage. Main variables studied. Perceived medical ambiguity, tolerance for medical ... regression analyses to examine associations among perceptions of and tolerance for medical ambiguity with the health constructs previously described, controlling for age, sex ...

This commentary is a response to both Merkebu et al., (2024) and Ellaway and Patocka (2024) on the place and importance of definitions of key notions in health professions education (HPE). The author argues that definitions of key notions in HPE research, teaching, and assessment are both variably possible and variably useful. By differentiating across concepts, constructs, measures, and ...

Suitable statistical design represents a critical factor in permitting inferences from any research or scientific study.[1] Numerous statistical designs are implementable due to the advancement of software available for extensive data analysis.[1] Healthcare providers must possess some statistical knowledge to interpret new studies and provide up-to-date patient care. We present an overview of ...

Alderson P. (1998) Theories in health care and research: The importance of theories in health care. British Medical Journal 317(7164): 1007–1010. DOI: 10.1136/bmj.317.7164.1007 [PMC free article] [Google Scholar] Álvarez AS, Pagani M, Meucci P. (2012) The clinical application of the biopsychosocial model in mental health.

However, to develop the conceptual framework, it is crucial to define the concept, constructs, and variables and understand their similarities, differences, and application in healthcare research. These three terms are essential for studies since they help operationalize and conceptualize measures.

One can imagine that constructs such as learning, personality, and intelligence can be quite hard to define operationally. Figure 2.1. The theoretical and empirical planes of research. A term frequently associated with, and sometimes used interchangeably with, a construct is a variable.

Constructs in nursing are abstract concepts or ideas that form the foundation of nursing theory and practice. They include notions such as patient care, health promotion, and holistic care.These constructs provide a framework for understanding the various aspects of nursing, including the healthcare environment, patient-nurse interactions, and the ethical considerations inherent in nursing ...

On concepts, constructs, measures, metrics, and the variable necessity of definitions Adv Health Sci Educ Theory Pract . 2025 Feb 27. doi: 10.1007/s10459-025-10420-z.

The value placed on person-centredness as the preferred approach in health and social care is uncontested, as evidenced in policy and strategy development globally [1,2,3].The knowledge base underpinning person-centredness continues to expand, with greater clarity on person-centredness as a concept relevant to international healthcare, and an increased understanding of the key components that ...

likely, fit of construct to variable and that the pre-sent overriding concern with demonstrating fitis counterproductive. IBE differs from VA in two important ways to be elucidated later: (1) the con-ceptualization of the relationship between variables and constructs, and (2) the criteria for judging the rigor of a theoretical explanation.

Problematizing the User-Based Quality of Care Literature. A review of the quality of care literature indicates that it prioritizes reliable, discrete, and measurable units, which through standardization can be confidently leveraged (as in, increased with a set of identified mechanisms) across health care users (Lin & Dudley, 2009).Curiously, the aim is so taken for granted that researchers who ...

This article begins by defining the term variable and the terms independent variable and dependent variable, providing examples of each. ... Independent, dependent, and other variables in healthcare and chaplaincy research J Health Care Chaplain. 2014;20(4):161-70. doi: 10.1080/08854726.2014.959374. ...

As noted previously, variables are central to the application of statistics in research. That is, variables hold the data to which the statistical tests and methods are applied. Variables are the containers that we use to collect, organize and process data. Representation of the variable “Social Support” as a container that holds values.

The proposed model consists of five main constructs. Three represent service quality: quality of care (four variables); process and administration (four variables) and information (four variables). There is also one construct that represents patient's status (two variables--health status before admission and after discharge). Finally, there is ...

Results/findings: In the Australian residential care setting, the factors that define both the contexts of care and the integration of care dimensions constructs are now empirically established. The most direct predictor for the integration of care dimension arises from both the leadership and resource allocation variables, while the remaining ...

Concepts are mental images or general ideas derived through the process of deduction and used as building blocks for theories. Constructs are specialized concepts adopted for scientific purposes, often defined in a way that can be measured and observed. Variables are attributes that can take different values and are essential in research for representing and analyzing changes.

A full list of PLS constructs and variables is presented in Table ... With the knowledge that patient safety incidents can significantly impact patients, providers and health‐care organizations, greater emphasis on patient involvement as a means to mitigate risks warrants further research. To understand whether ...

This case study discusses the experience of creating a mathematical representation of an existing construct—health equity—from existing data. The case reviews the process and pitfalls along the way and presents a five-step process to replicate the success of bringing a new objective, mathematical measure of an abstract construct into being.