Application of Problematic Integration Theory in Health Communication: A Scoping Review.
Razieh Mehdizadeh-MaraghiLeila Nemati-AnarakiPublished in: Health communication (2023)
Problematic integration theory is a theory in communication that deals with the processing of messages by humans. It is helpful to study challenges and their solutions in the health communication context to develop effective relationships, treat patients, and, ultimately, ensure the well-being of society. A scoping review was conducted. Three databases were searched following the PRISMA-ScR statement without a time frame. Independent screening of titles, abstracts, and full texts was performed, and the studies selected based on the inclusion and exclusion criteria were assessed. The required information was then extracted from the studies and entered into Excel software. A total of 43 studies related to PI theory were identified in the databases. The results indicated that PI theory is used to interpret feelings, beliefs, challenges, concerns, and problematic dilemmas in five thematic categories: elderly care, cancer care, infertility, pregnancy, and childbirth care, illness care, and sexual care. Each of the papers also offers distinctive and valuable considerations for interventions such as communication strategies, coping mechanisms, uncertainty and certainty management, information management, education, training, support groups, and campaigns to improve decision-making and meet the challenges of health communication.
Keyphrases
- healthcare
- quality improvement
- public health
- palliative care
- health information
- mental health
- end stage renal disease
- pain management
- chronic kidney disease
- affordable care act
- physical activity
- case control
- depressive symptoms
- risk assessment
- systematic review
- randomized controlled trial
- prognostic factors
- type diabetes
- preterm birth
- pregnant women
- climate change
- social support
- human health
- insulin resistance
- metabolic syndrome
- patient reported outcomes
- big data
- skeletal muscle
- artificial intelligence
- data analysis