| Literature DB >> 23216748 |
Wynne E Norton1, C Joseph McCannon, Marie W Schall, Brian S Mittman.
Abstract
BACKGROUND: Although significant advances have been made in implementation science, comparatively less attention has been paid to broader scale-up and spread of effective health programs at the regional, national, or international level. To address this gap in research, practice and policy attention, representatives from key stakeholder groups launched an initiative to identify gaps and stimulate additional interest and activity in scale-up and spread of effective health programs. We describe the background and motivation for this initiative and the content, process, and outcomes of two main phases comprising the core of the initiative: a state-of-the-art conference to develop recommendations for advancing scale-up and spread and a follow-up activity to operationalize and prioritize the recommendations. The conference was held in Washington, D.C. during July 2010 and attended by 100 representatives from research, practice, policy, public health, healthcare, and international health communities; the follow-up activity was conducted remotely the following year. DISCUSSION: Conference attendees identified and prioritized five recommendations (and corresponding sub-recommendations) for advancing scale-up and spread in health: increase awareness, facilitate information exchange, develop new methods, apply new approaches for evaluation, and expand capacity. In the follow-up activity, 'develop new methods' was rated as most important recommendation; expanding capacity was rated as least important, although differences were relatively minor.Entities:
Mesh:
Year: 2012 PMID: 23216748 PMCID: PMC3541125 DOI: 10.1186/1748-5908-7-118
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Organizations, institutions, and agencies represented at the conference
| American Board of Internal Medicine Foundation | National Implementation Research Network |
| Agency for Healthcare Research and Quality | National Institute of Child Health and Human Development |
| Bill and Melinda Gates Foundation | National Institute on Aging |
| Blue Cross Blue Shield | National Institute of Mental Health |
| CAPTURE Project | Oregon Social Learning Center |
| Centers for Disease Controland Prevention | The Patrick and Catherine Donaghue Medical Research |
| Center to Advance Palliative Care | Pennsylvania State University |
| Canadian Institutes of Health Research | Project Health |
| Centers for Medicare & Medicaid Services | VA Quality Enhancement Research Initiative |
| Common Ground | Robert Wood Johnson Foundation |
| Common Knowledge Associates | Stanford University |
| The Commonwealth Fund | Texas Health Science Center |
| Dana-Farber Cancer Institute | Transtria |
| Dimagi, Inc. | TRICARE Management Activity |
| Duke University | Universite Laval |
| ExpandNet | University of Alabama at Birmingham |
| Georgetown University | University of California, Los Angeles |
| Harvard University | University of California, San Francisco |
| Health Research and Educational Trust | University of Connecticut |
| Health Partners Research Foundation | Univ. of Medicine/Dentistry of New Jersey |
| Health Resources and Services Administration | University of Michigan |
| Institute for Healthcare Improvement | United States Agency for International Development |
| Iowa Health System | University of North Carolina at Chapel Hill |
| The John A. Hartford Foundation | University of Pennsylvania |
| Johns Hopkins University | University of Washington |
| Kaiser Permanente | University of Wisconsin |
| Karolinska Institute | University Research Co., LLC |
| McKinsey and Company | U.S. Army Medical Department |
| MedPAC | US Department of Education |
| Michigan Heath and Hospital Association | Washington University in St. Louis |
| National Committee for Quality Assurance | Yale University |
Recommendations, sub-recommendations, and ratings
| 4.31 (0.78) | |
| 1.1 Educate healthcare and public health agencies and professionals regarding the need for explicit, pro-active initiatives to achieve scale-up and spread of effective health programs. | 4.26 (0.90) |
| 1.2 Provide professional and monetary incentives for researchers, practitioners, and policymakers to pursue scale-up/spread activities. | 4.00 (1.08) |
| 1.3 Convene an Institute of Medicine/Canadian Academy of Health Sciences (or other entity) committee to assess the current status of research, practice and policy activities in scale-up and spread. | 3.96 (1.00) |
| 1.4 Convene a multi-stakeholder group to create an overarching blueprint for expanding interest and activity in scale-up/spread research, practice and policy. | 3.56 (1.06) |
| 1.5 Educate the general public to enhance pull for scale-up/spread of effective programs. | 2.88 (1.00) |
| 4.28 (0.73) | |
| 2.1 Synthesize existing knowledge (and incorporate new knowledge as developed) to create practical guidance for scale-up and spread practice and policy. | 4.34 (0.85) |
| 2.2 Develop and facilitate online communities of practice in scale-up and spread research, practice and policy that are specific to stakeholder groups, health areas, or delivery settings. | 3.75 (0.78) |
| 2.3 Increase clinical and related data sharing among all major health agencies ( | 3.65 (1.06) |
| 2.4 Create a Center for Scale-up/Spread comprising multiple federal and private agency representatives to increase collaboration and progress in advancing scale-up and spread knowledge and activity. | 3.57 (1.13) |
| 2.5 Create an online, interactive learning network for all types of scale-up/spread stakeholders in health care and public health to engage with one another. | 3.55 (0.85) |
| 4.56 (0.64) | |
| 3.1 Develop new funding announcements to conduct ‘embedded research’ on practice- and policy-led scale-up/spread initiatives ( | 4.53 (0.68) |
| 3.2 Develop new funding programs to support investigator-initiated scale-up/spread research. | 4.44 (0.70) |
| 3.3 Identify and strengthen existing research programs studying scale-up and spread. | 4.18 (0.74) |
| 3.4 Develop taxonomy of scale-up/spread strategies and related concepts to describe scale-up/spread approaches and factors. | 4.12 (0.93) |
| 4.46 (0.71) | |
| 4.1 Develop, evaluate and implement practical measures of spread of health practices and programs to facilitate improved research and enhanced tracking of scale-up/spread progress. | 4.35 (0.66) |
| 4.2 Convene a planning group to advance the idea of embedded evaluation to generate more knowledge about scale-up and spread in the context of ongoing policy/practice initiatives. | 4.11 (0.93) |
| 4.3 Convene consensus groups and stimulate research to develop innovative approaches for studying scale-up and spread processes and mechanisms (and their determinants) to better understand how, when, where, and why scale-up and spread strategies operate. | 4.08 (0.87) |
| 4.4 Convene a planning group to address research and evaluation barriers related to Institutional Review Board regulations and other challenges. | 3.80 (0.89) |
| 4.18 (0.83) | |
| 5.1 Identify funding sources to support workforce preparation activities, including course and curriculum development, credentialing, training, and mentoring. | 4.17 (1.06) |
| 5.2 Identify experts in scale-up and spread to serve as mentors for new scale-up/spread research, practice and policy experts. | 4.02 (0.83) |
| 5.3 Develop courses on scale-up/spread in health care and public health for inclusion in established health-related degree programs ( | 4.01 (0.95) |
| 5.4 Develop non-degree courses and training programs for researchers, practitioners, and policymakers focused specifically on scale-up and spread, including courses addressing the role of data in guiding and supporting scale-up and spread efforts. | 3.85 (0.98) |
| 5.5 Convene a group to develop credentialing requirements and programs for individuals engaged in scale-up/spread initiatives. | 2.83 (1.16) |
Note. Response options include 1 = Unimportant, 2 = Low Importance, 3 = Moderately Important, 4 = Important, 5 = Very Important. Higher scores indicate greater importance of recommendation. Within each of the five major recommendations, sub-recommendations are listed from highest score (i.e., greatest importance) to lowest score (i.e., lowest importance).