Predictors of the International HIV-AIDS INGO Network Over Time

Shumate, M.

doi:10.1093/hcr/31.4.482

Cited by 29 publications

(62 citation statements)

References 24 publications

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“…Given the prominence of HIV/AIDS in network research, it is no surprise that there have been multiple studies of HIV/AIDS service organizations (86,124,149). In addition, researchers have taken network approaches to understand better the public and private agencies serving the mentally ill and mental health (16,107,131), community agencies addressing child abuse (106), services for the health and social well-being of the elderly (23,69), emergency preparedness and response (72,37), tobacco control (84), cancer support (96), health policy (115), and health promotion (145).…”

Section: Organizational Networkmentioning

confidence: 99%

“…Several of these studies found that in public health organizations, past relationships predicted partnering (96,124), as did working on a common issue (23,145) or exchanging/ receiving funding (96,106,124,148). Among health care systems providing services for specific populations-such as the elderly, mental health patients, or HIV/AIDS patientslinks between agencies consist of sending and receiving client referrals (23,86,107,145,148), sending and receiving funding (84,96,106,124,148), and utilizing joint programs or providing service (23,66,84,86,148).…”

Section: Organizational Networkmentioning

confidence: 99%

“…Among health care systems providing services for specific populations-such as the elderly, mental health patients, or HIV/AIDS patientslinks between agencies consist of sending and receiving client referrals (23,86,107,145,148), sending and receiving funding (84,96,106,124,148), and utilizing joint programs or providing service (23,66,84,86,148). Some researchers identified barriers to interorganizational relationships, namely that building relationships takes resources and can limit autonomy (23,96).…”

Section: Organizational Networkmentioning

confidence: 99%

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Network Analysis in Public Health: History, Methods, and Applications

Luke

Harris

2007

Annu. Rev. Public Health

586

409

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Network analysis is an approach to research that is uniquely suited to describing, exploring, and understanding structural and relational aspects of health. It is both a methodological tool and a theoretical paradigm that allows us to pose and answer important ecological questions in public health. In this review we trace the history of network analysis, provide a methodological overview of network techniques, and discuss where and how network analysis has been used in public health. We show how network analysis has its roots in mathematics, statistics, sociology, anthropology, psychology, biology, physics, and computer science. In public health, network analysis has been used to study primarily disease transmission, especially for HIV/AIDS and other sexually transmitted diseases; information transmission, particularly for diffusion of innovations; the role of social support and social capital; the influence of personal and social networks on health behavior; and the interorganizational structure of health systems. We conclude with future directions for network analysis in public health.

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Section: Organizational Networkmentioning

confidence: 99%

Section: Organizational Networkmentioning

confidence: 99%

Section: Organizational Networkmentioning

confidence: 99%

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Network Analysis in Public Health: History, Methods, and Applications

Luke

Harris

2007

Annu. Rev. Public Health

586

409

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“…For example, there have been network studies of: HIV/AIDS service organizations (Kwait, Valente, & Celentano, 2001;Shumate, Fulk, & Monge, 2005;Wright & Shuff, 1995), public and private agencies serving the mentally ill/mental health (Becker et al, 1998;Nakao, Milazzo-Sayre, Rosenstein, & Manderscheid, 1986;Tausig, 1987), community agencies addressing child abuse (Mulroy, 1997), services for the health and social well-being of the elderly (Kaluzny, Zuckerman, & Rabiner, 1998), emergency preparedness and response (Bolland & Wilson, 1994;Harris & Clements, 2007;Kapucu, 2005), tobacco control (Harris, Luke, Burke, & Mueller, 2008;Leischow et al, 2008), and diabetes support (Provan, Harvey, & de Zapien, 2005).…”

Section: What Were the Patterns Of Communication Between Dhhsmentioning

confidence: 99%

Mapping U.S. government tobacco control leadership: Networked for success?

Leischow

Luke

Mueller

et al. 2010

Nicotine & Tobacco Research

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Introduction: In order to better understand how tobacco control efforts are coordinated across agencies of the Department of Health and Human Services (DHHS), we assessed tobacco control-related communication between tobacco control leaders across DHHS. Methods:Cross-sectional surveys were collected from individuals representing 11 DHHS agencies, and social network analyses were used to assess linkages and map agencies' tobacco control communication.

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“…For example, it has been well-documented that human service organizations that share similar funding sources, geographic proximity, age (Shumate, Fulk, & Monge, 2005), and service sector (Bolland & Wilson, 1994; Rivard & Morrisey, 2003) are likely to partner. Yet these organizations are also likely to be competing with one another suggesting that non-profit organizations, like those in the for-profit sector, coordinate with the competition (Tsasis, 2009).…”

Section: Introductionmentioning

confidence: 99%

Administrative Coordination in Nonprofit Human Service Delivery Networks

Bunger

2012

Nonprofit and Voluntary Sector Quarterly

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Non-profit human service organizations operating within the same regional network are often faced with dual pressure to compete as well as coordinate administrative operations (by sharing funding, staff or space) to enhance efficiency. Emerging evidence has demonstrated that competing organizations coordinate, despite the risks. Trust, or perceived trustworthiness between two organizations may mitigate the negative influence of competition on coordination, however there have been few explicit tests of this hypothesis among non-profit organizations. Drawing on quantitative data collected from a network of 36 non-profit children’s behavioral health organizations, this paper empirically tests how competition and perceived trustworthiness interact to influence administrative coordination. Results support the hypothesis that trustworthiness moderates the influence of competition on administrative coordination. Findings suggest that as competing non-profit leaders build trust, the more their agencies coordinate their administrative functions. This study highlights the importance of leaders’ perceptions for organizational strategy.

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Predictors of the International HIV-AIDS INGO Network Over Time

Cited by 29 publications

References 24 publications

Network Analysis in Public Health: History, Methods, and Applications

Network Analysis in Public Health: History, Methods, and Applications

Mapping U.S. government tobacco control leadership: Networked for success?

Administrative Coordination in Nonprofit Human Service Delivery Networks

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