NDLI: “Scaling-out” evidence-based interventions to new populations or new health care delivery systems

Content Provider	Springer Nature : BioMed Central
Author	Aarons, Gregory A. Sklar, Marisa Mustanski, Brian Benbow, Nanette Brown, C. Hendricks
Abstract	Background Implementing treatments and interventions with demonstrated effectiveness is critical for improving patient health outcomes at a reduced cost. When an evidence-based intervention (EBI) is implemented with fidelity in a setting that is very similar to the setting wherein it was previously found to be effective, it is reasonable to anticipate similar benefits of that EBI. However, one goal of implementation science is to expand the use of EBIs as broadly as is feasible and appropriate in order to foster the greatest public health impact. When implementing an EBI in a novel setting, or targeting novel populations, one must consider whether there is sufficient justification that the EBI would have similar benefits to those found in earlier trials. Discussion In this paper, we introduce a new concept for implementation called “scaling-out” when EBIs are adapted either to new populations or new delivery systems, or both. Using existing external validity theories and multilevel mediation modeling, we provide a logical framework for determining what new empirical evidence is required for an intervention to retain its evidence-based standard in this new context. The motivating questions are whether scale-out can reasonably be expected to produce population-level effectiveness as found in previous studies, and what additional empirical evaluations would be necessary to test for this short of an entirely new effectiveness trial. We present evaluation options for assessing whether scaling-out results in the ultimate health outcome of interest. Conclusion In scaling to health or service delivery systems or population/community contexts that are different from the setting where the EBI was originally tested, there are situations where a shorter timeframe of translation is possible. We argue that implementation of an EBI in a moderately different setting or with a different population can sometimes “borrow strength” from evidence of impact in a prior effectiveness trial. The collection of additional empirical data is deemed necessary by the nature and degree of adaptations to the EBI and the context. Our argument in this paper is conceptual, and we propose formal empirical tests of mediational equivalence in a follow-up paper.
Related Links	https://implementationscience.biomedcentral.com/counter/pdf/10.1186/s13012-017-0640-6.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
ISSN	17485908
DOI	10.1186/s13012-017-0640-6
Journal	Implementation Science
Issue Number	1
Volume Number	12
Language	English
Publisher	BioMed Central
Publisher Date	2017-09-06
Access Restriction	Open
Subject Keyword	Health Services Research Public Health Health Informatics Health Policy Health Administration Health Promotion and Disease Prevention Scaling-out Scaling-up Delivery system fixed Population fixed Implementation science Evidence-based intervention Intervention adaptation External validity Multilevel mediation modeling Effectiveness Mediational equivalence
Content Type	Text
Resource Type	Article
Subject	Health Policy Public Health, Environmental and Occupational Health Health Informatics
Journal Impact Factor	8.8/2023
5-Year Journal Impact Factor	9.2/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

“Scaling-out” evidence-based interventions to new populations or new health care delivery systems

Realities of replication: implementation of evidence-based interventions for HIV prevention in real-world settings

A systematic review of adaptations of evidence-based public health interventions globally

Methods for scaling up an outreach intervention to increase colorectal cancer screening rates in rural areas

The role of implementation organizations in scaling evidence-based psychosocial interventions

Adaptation of an evidence-based intervention to promote colorectal cancer screening: a quasi-experimental study

Intermediary/purveyor organizations for evidence-based interventions in the US child mental health: characteristics and implementation strategies

Disseminating evidence-based interventions to new populations: a systematic approach to consider the need for adaptation

Dynamic adaptation process to implement an evidence-based child maltreatment intervention

“Scaling-out” evidence-based interventions to new populations or new health care delivery systems

Similar Documents

“Scaling-out” evidence-based interventions to new populations or new health care delivery systems

Realities of replication: implementation of evidence-based interventions for HIV prevention in real-world settings

A systematic review of adaptations of evidence-based public health interventions globally

Methods for scaling up an outreach intervention to increase colorectal cancer screening rates in rural areas

The role of implementation organizations in scaling evidence-based psychosocial interventions

Adaptation of an evidence-based intervention to promote colorectal cancer screening: a quasi-experimental study

Intermediary/purveyor organizations for evidence-based interventions in the US child mental health: characteristics and implementation strategies

Disseminating evidence-based interventions to new populations: a systematic approach to consider the need for adaptation

Dynamic adaptation process to implement an evidence-based child maltreatment intervention

“Scaling-out” evidence-based interventions to new populations or new health care delivery systems