Measuring Agreement between Egos and Alters

Green, Harold D.; Hoover, Matthew; Wagner, Glenn; Ryan, Gery W.; Ssegujja, Eric

doi:10.1177/1525822x13492676

Cited by 85 publications

(8 citation statements)

References 8 publications

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“…Lastly, the survey relied on patients’ self-reports of their social networks. Although participants’ report of their personal networks of intimate contacts has been shown to be accurate 27 , there is still a possibility that patients had recall bias of their social context influenced by their journey to the hospital. A future direction of research could be to survey the network members after stroke or heart attack to understand why and how relatives choose a watch and wait approach more than nonrelatives.…”

Section: Discussionmentioning

confidence: 99%

Social networks and risk of delayed hospital arrival after acute stroke

et al. 2019

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Arriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times.

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Section: Discussionmentioning

confidence: 99%

Social networks and risk of delayed hospital arrival after acute stroke

et al. 2019

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“…First, evidence suggests that ego's reports on the types of alter attributes and behaviors we measure can be quite accurate [e.g., [43][44][45][46][47]. Green et al [44], for example, find that while egos are generally reliable informants, they are more accurate in regard to demographic attributes and, importantly, also in regard to health-related information, including HIV status (and whether alters were receiving HIV-related health care), as well as pregnancy status. White and Watkins [46], likewise, find that discrepancies between ego and alter reports are lower for observable characteristics.…”

Section: Methodsmentioning

confidence: 99%

Health-based homophily in public housing developments

Heaton

Gondal

2023

BMC Public Health

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Public housing residents in the United States face disproportionately high risks for disease, presenting an urgent need for interventions. Evidence suggests interventions leveraging social networks can be successful when relationships are homophilous, as this leads to pooling of risk behaviors among interconnected alters. Yet, we know little about networks of public housing residents. To assess the feasibility of network-based interventions, we investigate the incidence of health-based homophily in public housing developments in Boston, Massachusetts. Employing multilevel models (HLM), we find that respondents report their own health characteristics to be similar to their network partners on oral health, weight, and consumption of sugar-sweetened beverages and foods. We discuss the implications of our findings for health-based interventions in low-income communities.

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“…Pro-medical cultural climate for each respondent was calculated as the percentage of ties who were thought to trust doctors “a lot”. The P2P did not do a second-stage interview of network ties as in some studies (e.g., [ 54 ]) because studies have reported that respondents accurately report information on network close or frequent ties [ 48 , 70 ].…”

Section: Methodsmentioning

confidence: 99%

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

Green

Pescosolido

2023

Soc Psychiatry Psychiatr Epidemiol

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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.

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Measuring Agreement between Egos and Alters

Cited by 85 publications

References 8 publications

Social networks and risk of delayed hospital arrival after acute stroke

Social networks and risk of delayed hospital arrival after acute stroke

Health-based homophily in public housing developments

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

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