Social pathways to care: how community-based network ties shape the health care response of individuals with mental health problems

• Published in: Social Psychiatry and Psychiatric Epidemiology Vol. 59; no. 3; pp. 431 - 442
• Main Authors: Green, Harold D., Pescosolido, Bernice A.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024; Springer Nature B.V
• Subjects: Epidemiology; Health care; Medicine; Medicine & Public Health; Mental health; Psychiatry; Regression analysis; Social networks; Social networks; Mental health services; Utilization; Network episode model; Health disparities
• ISSN: 0933-7954; 1433-9285; 1433-9285
• DOI: 10.1007/s00127-023-02476-2

Purpose Mental health research has powerfully documented inequities related to characteristics, such as ethnicity and gender. Yet how and where disparities like unmet need occur have been more elusive. Drawing from a now modest body of research that deployed the Network Episode Model (NEM), we examine how individuals create patterns of response to mental health problems, influenced by the culture and resources embedded in their social networks. Methods The Person-to-Person Health Interview Study (P2P; N  ~ 2,700, 2018–2021) provides representative, community-based, NEM-tailored data. Both descriptive, latent class and multinomial regression analyses mark mental health care-seeking patterns, including individuals consulted and activities used, as well as the influence of the structure and cultural content of social networks. Results Latent class analysis detected five pathways with good fit statistics. The Networked General Care Path (37.0%) and The Kin General Care Path (14.5%) differ only in whether friends are activated in using the general care sector. The Networked Multi-Sector Care Path (32.5%) and The Saturated Path (12.6%) involve family, friends, and both general and specialty care with only the latter expanding consultation to coworkers and clergy. The Null Path (3.3%), or no contacts, is not used as perceived problem severity increases. Network size and strength are associated with the more complex pathways that activate ties, respectively. Trust in doctors is associated with pathways that include specialty providers but not others at work or church. Race, age, and rural residence have specific pathway effects, while gender has no significant impact. Conclusions Social networks propel individuals with mental health problems into action. Tie strength and trust produce care responses that are fuller and more targeted. Considering the nature of homophily, results also suggest that majority status and college education are clearly implicated in networked pathways. Overall, findings support community-targeted rather than individually based efforts to increase service use.