000 02419 am a22002773u 4500
042 _adc
100 1 0 _aKuchenmüller, Tanja
_eauthor
_92134
700 1 0 _aChapman, Evelina
_eauthor
_92135
700 1 0 _aTakahashi, Ryoko
_eauthor
_92136
700 1 0 _aLester, Louise
_eauthor
_92137
700 1 0 _aReinap, Marge
_eauthor
_92138
700 1 0 _aEllen, Moriah
_eauthor
_92139
700 1 0 _aHaby, Michelle M.
_eauthor
_92140
245 0 0 _aA comprehensive monitoring and evaluation framework for evidence to policy networks
260 _c2022-04-01.
500 _a/pmc/articles/PMC7614046/
500 _a/pubmed/35217289
520 _aOBJECTIVE: To describe the development of a framework for monitoring and evaluating knowledge translation (KT) networks. METHOD: The framework was developed using mixed methods over four phases, including i) a targeted literature review of KT networks, activities and indicators, ii) two scoping reviews to further enhance the set of indicators, iii) peer-reviews by international KT experts and an online expert consultation, and iv) piloting. RESULTS: A comprehensive theory of change (ToC) and indicators, both for the Network Secretariat and its participating member countries, were identified to develop the monitoring and evaluation framework. The framework includes (i) a ToC, including three key indicator domains across the results chain (outputs, short term outcomes, intermediate outcomes), and (ii) indicators for the three key domains, that can be selected depending on the stage of network maturity, along with suggested data collection methods. The three key indicator domains are 1) KT capacity and skill building; 2) network (structure, governance and leadership); and 3) KT/evidence-informed policy value and culture. CONCLUSION: The monitoring and evaluation framework that links KT activities with policy and health outcomes fills an important gap in optimizing KT procedures, generating lessons learned and increasing accountability of major multipartner KT networks.
540 _a
540 _ahttps://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. licensee Elsevier
546 _aen
690 _aArticle
655 7 _aText
_2local
786 0 _nEval Program Plann
856 4 1 _uhttp://dx.doi.org/10.1016/j.evalprogplan.2022.102053
_zConnect to this object online.
999 _c2016
_d2016