Employing the Payback Framework to Assess Implementation Science Research Utilization: Lessons From the USAID's PEPFAR HIV/AIDS Implementation Science Awards

被引:2
作者
Castor, Delivette [1 ]
Kimmel, Allison L. [1 ,2 ]
McFall, Allison [3 ]
Padian, Nancy [4 ]
Yansaneh, Aisha [1 ]
Wiant, Sarah [1 ]
Sandison, Sarah [1 ]
Holmes, Charles [5 ]
Lucas, Rachel [1 ]
Stanton, David [1 ]
Goosby, Eric [6 ]
Kottiri, Benny [1 ]
机构
[1] US Agcy Int Hlth, Strateg Informat Evaluat & Informat Div, Off HIV AIDS, Bur Global Hlth, Washington, DC USA
[2] Boston Univ, Sch Publ Hlth, Strateg Informat Evaluat & Informat Div, Boston, MA USA
[3] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Strateg Informat Evaluat & Informat Div, Baltimore, MD USA
[4] Univ Calif Berkeley, Sch Publ Hlth, Strateg Informat Evaluat & Informat Div, Berkeley, CA 94720 USA
[5] Georgetown Univ, Univ Med Ctr, Strateg Informat Evaluat & Informat Div, Washington, DC USA
[6] Univ Calif San Francisco, Sch Med, Strateg Informat Evaluat & Informat Div, San Francisco, CA USA
关键词
implementation science; Payback Model; HERG model; HIV/AIDS; PEPFAR; PRACTICE IMPACTS; ASSESSING POLICY;
D O I
10.1097/QAI.0000000000002226
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Stakeholders question whether implementation science (IS) is successful in conducting rigorous science that expedites the inclusion of health innovations into policies and accelerates the pace and scale of health service delivery into clinical and public health practice. Using the Payback Framework (PF) for research utilization (RU), we assessed the impact of USAID's IS investment on a subset of studies examining HIV prevention, care, and treatment. Setting: Selected USAID-funded IS awards implemented between 2012 and 2017 in 9 sub-Saharan African countries. Methods: A modified version of a RU framework, the PF, was applied to 10 USAID-funded IS awards. A semistructured, self-administered/interviewer-administered questionnaire representing operational items for the 5 categories of the modified PF was used to describe the type and to quantify the level of payback achieved. The raw score was tallied within and across the 5 PF categories, and the percentage of "payback" achieved by category was tabulated. Distribution of payback scores was summarized by tertiles. Results: Knowledge production had the highest level of payback (75%), followed by benefits to future research (70%), benefits to policy (45%), benefits to health and the health system (18%), and broader economic benefits (5%). Conclusions: All awards achieved some level of knowledge production and benefits to future research, but translation to policy and programs was low and variable. We propose the use of policy, health system, and economic monitoring indicators of RU throughout the research process to increase IS studies' impact on health practice, programs, and policy.
引用
收藏
页码:S348 / S356
页数:9
相关论文
共 37 条
  • [1] [Anonymous], HLTH RES POLICY SYST
  • [2] [Anonymous], ASSESSING PAYBACK DE
  • [3] [Anonymous], 2000, Evaluation, DOI [DOI 10.1177/13563890022209181, 10.1177/13563890022209181]
  • [4] [Anonymous], 2017, PLOS MED
  • [5] Conceptual frameworks and empirical approaches used to assess the impact of health research: an overview of reviews
    Banzi, Rita
    Moja, Lorenzo
    Pistotti, Vanna
    Facchini, Andrea
    Liberati, Alessandro
    [J]. HEALTH RESEARCH POLICY AND SYSTEMS, 2011, 9
  • [6] Buxton M, 1996, J Health Serv Res Policy, V1, P35
  • [7] Cohen G, 2014, HEALTH RES POLICY SY, V13, P1
  • [8] Davies H, 2005, 2005 ESRC S ASS NONA
  • [9] Examining the Impact of the National Institutes of Health Public Access Policy on the Citation Rates of Journal Articles
    De Groote, Sandra L.
    Shultz, Mary
    Smalheiser, Neil R.
    [J]. PLOS ONE, 2015, 10 (10):
  • [10] Evaluation of the impact of National Breast Cancer Foundation-funded research
    Donovan, Claire
    Butler, Linda
    Butt, Alison J.
    Jones, Teresa H.
    Hanney, Stephen R.
    [J]. MEDICAL JOURNAL OF AUSTRALIA, 2014, 200 (04) : 214 - 218