Sources and processes of social influence on health-related choices: A systematic review based on a...

Most choices in healthcare are not made in social isolation. However, current econometric models treat patients' preferences as the sole determinants of their choices. Through the lens of sociology and medical sociology theories, this paper presents a systematic literature review of identifiable social influences on patients' choices, serving as a first step in developing a social-interdependent choice paradigm.

Following the PRISMA guideline and using nine databases, we identified the individual agents or groups involved in health-related choices, the functional content through which social relationships influence patients, and the choice constructs affected by these processes. From 9036 screened articles, we selected 208 to develop an analytical framework connecting social relationships with choice constructs.

Social influences predominantly come from family, friends, specialized physicians, and general practitioners. We decomposed the functional content of social relationships into functions and contents. Dyadic interactions and expert knowledge were prominent functions, followed by social control. Prescriptive and informational contents were prevalent, followed by instrumental and emotional ones. Expert knowledge and social norms aligned with prescriptive and informational signals, while dyadic interactions provide emotional and instrumental signals. Reference points for social norms included friends, coworkers, and patients. Social relationships primarily impact which alternatives are evaluated, followed by alternative evaluation strategies and goal selection. Distinctions between medical domains and dimensions emerged, highlighting how the medical area conditions the social influence process.

This systematic review presents a comprehensive framework that elucidates the social influence process in healthcare patient decision-making. By detailing the functional content of social relationships into functions and contents and linking these components to the elements of the choice process, we created a structured approach to understanding how social relationships impact patient choices. This will facilitate the systematic integration of social relationships into econometric models of patient choice.