Dynamics of intervention adoption, implementation, and maintenance inside organizations: The case of an obesity prevention initiative

Jalali, Mohammad S.; Rahmandad, Hazhir; Bullock, Sally Lawrence; Lee‐Kwan, Seung Hee; Gittelsohn, Joel; Ammerman, Alice S.

doi:10.1016/j.socscimed.2018.12.021

Cited by 33 publications

(42 citation statements)

References 62 publications

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“…We suggest that these reinforcing mechanisms can create path dependencies in capability evolution trajectories (capabilities achieved due to the implemented interventions) across organizations, leading to heterogeneity in performance, even when the elements of the intervention are relatively well-known. Similar dynamic mechanisms were presented for the BHC case in [ 34 ]. The basic design, implementation, and maintenance of new organizational processes are shared in developing many health interventions.…”

Section: Discussionsupporting

confidence: 64%

“…Researchers from Johns Hopkins Bloomberg School of Public Health worked with the carry-out vendors to design and implement the intervention, which included changes in menu items, raw material suppliers, marketing and presentation of stores, and pricing of items. We do not present the BHC here—it is thoroughly discussed in [ 34 , 35 ]. Our discussions and analyses in this article are based on Shape NC and HFEH and are consistent with the BHC case, increasing the generalizability of our findings.…”

Section: Study Design and Empirical Settingmentioning

confidence: 99%

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Dynamics of Implementation and Maintenance of Organizational Health Interventions

Jalali

Rahmandad

Bullock

et al. 2017

IJERPH

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In this study, we present case studies to explore the dynamics of implementation and maintenance of health interventions. We analyze how specific interventions are built and eroded, how the building and erosion mechanisms are interconnected, and why we can see significantly different erosion rates across otherwise similar organizations. We use multiple comparative obesity prevention case studies to provide empirical information on the mechanisms of interest, and use qualitative systems modeling to integrate our evolving understanding into an internally consistent and transparent theory of the phenomenon. Our preliminary results identify reinforcing feedback mechanisms, including design of organizational processes, motivation of stakeholders, and communication among stakeholders, which influence implementation and maintenance of intervention components. Over time, these feedback mechanisms may drive a wedge between otherwise similar organizations, leading to distinct configurations of implementation and maintenance processes.

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Section: Discussionsupporting

confidence: 64%

Section: Study Design and Empirical Settingmentioning

confidence: 99%

Dynamics of Implementation and Maintenance of Organizational Health Interventions

Jalali

Rahmandad

Bullock

et al. 2017

IJERPH

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“…Systems maps are often operationalized with system dynamics models (Jalali et al, 2019; Sterman, 2000). However, rather than using system dynamics modeling to quantify explicit variables, COMPACT used SNA and ABM to build and test the SDCD theory because these methods are particularly well suited to explore key features like network diffusion and individual-level interaction.…”

Section: Practical Implications For the Fieldmentioning

confidence: 99%

“…This is because successful implementation is more likely to be effective when efforts are informed by both knowledge of the intervention levers that are likely to have the most impact and appreciation of the system in which the intervention is implemented. The utilization of tools to help understand complex systems has been gaining traction within implementation science as a means to identify potential predictors of implementation success, such as stakeholders’ social networks (Brennan et al, 2015; Hawe, 2015; Jalali et al, 2019; McGlashan et al, 2018; Owen et al, 2018). However, most applications to date employ only a single complex systems method.…”

mentioning

confidence: 99%

Integrating Complex Systems Methods to Advance Obesity Prevention Intervention Research

2020

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Background. Whole-of-community interventions have been recommended and show promise for preventing obesity; however, research to understand the mechanisms underlying their success or failure is lacking. Complex systems approaches may be useful to address this gap. Purpose. To describe the evolution and utilization of qualitative and quantitative complex systems methods to understand and model whole-of-community obesity prevention interventions. Approach. We illustrate the retrospective qualitative development of a systems map representing community change dynamic within the Shape Up Somerville (SUS) intervention. We then describe how this systems map, and complementary work of other successful obesity prevention interventions (Romp & Chomp intervention), informed the COMPACT (childhood obesity modeling for prevention and community transformation) study. COMPACT’s design aligns complex systems science principles and community-engaged research to better understand stakeholders’ leadership roles in whole-of-community interventions. We provide an overview of the complex systems tools used in COMPACT: agent-based modeling, group model building, and social network analysis and describe how whole-of-community intervention stakeholders (“agents”) use their social networks to diffuse knowledge about and engagement with childhood obesity prevention efforts, laying the groundwork for community readiness for sustainable change. Conclusion. Complex systems approaches appear feasible and useful to study whole-of-community obesity prevention interventions and provide novel insights that expand on those gained from traditional approaches. Use of multiple methods, both qualitative and quantitative, from the complex systems toolkit working together can be important to success.

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“…In fact, no one simulation model for opioids can answer all research questions. In other areas of research, such as obesity [ 21 , 22 ] and infectious diseases (e.g. HIV/AIDS) [ 23 – 25 ], a stream of systems science research helped intervention and policy development.…”

Section: Introductionmentioning

confidence: 99%

The opioid crisis: need for systems science research

Jalali

Botticelli

Hwang³

et al. 2020

Health Res Policy Sys

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The opioid epidemic in the United States has had a devastating impact on millions of people as well as on their families and communities. The increased prevalence of opioid misuse, use disorder and overdose in recent years has highlighted the need for improved public health approaches for reducing the tremendous harms of this illness. In this paper, we explain and call for the need for more systems science approaches, which can uncover the complexities of the opioid crisis, and help evaluate, analyse and forecast the effectiveness of ongoing and new policy interventions. Similar to how a stream of systems science research helped policy development in infectious diseases and obesity, more systems science research is needed in opioids.

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Dynamics of intervention adoption, implementation, and maintenance inside organizations: The case of an obesity prevention initiative

Cited by 33 publications

References 62 publications

Dynamics of Implementation and Maintenance of Organizational Health Interventions

Dynamics of Implementation and Maintenance of Organizational Health Interventions

Integrating Complex Systems Methods to Advance Obesity Prevention Intervention Research

The opioid crisis: need for systems science research

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