Program Evaluation Through the Use of Logic Models

Carrion, Antonio J.; Miles, Jovan D.; Thompson, Michael D.; Journee, Briana; Nelson, Eboni

doi:10.1016/j.cptl.2021.03.006

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…It provides a common approach to the integration, planning, implementation, and evaluation of a program or project [7]. Logic models are widely used, with some aiming at evaluating clinical programs [8] or the contributions of partners in community based participatory research [9]. However, few if any existing tools have been designed to guide the implementation of collaborative models linking community-based primary health care and biomedical research.…”

Section: Translational Medicine Communicationsmentioning

confidence: 99%

Fostering translational research in chronic disease management: a logic model proposal

et al. 2022

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Translational research aims at reducing gaps between fundamental scientific discoveries and real-world applications. However, the trajectory of most scientific discoveries along the translation research continuum remains highly complex. Logic models are powerful tools that can help reduce this complexity. They are often used to lay out road maps and depict the relationship between activities and their intended effects. Few if any existing tools have been designed to guide the implementation and evaluation of collaborative models between community-based primary health care and biomedical research. To address this gap, we developed a logic model in two stages: 1) a literature review; and 2) the drafting and revision of the model by experts in the field. We describe its components, including objectives, inputs, activities, target groups, outputs, and results for a collaborative model involving fundamental biomedical research and primary health care practices. Our proposed logic model provides a road map that has the potential to reduce the complexity faced by translational research in chronic diseases by providing guidelines for decision-makers. Future work should attempt to validate the model before its broad-based implementation.

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Section: Translational Medicine Communicationsmentioning

confidence: 99%

Fostering translational research in chronic disease management: a logic model proposal

et al. 2022

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“…This evaluation was undertaken with the second GLMC cohort, in the cycle running in 2018–2019 with its associated evaluative data, and is focused on understanding the gains from each dyad, thus informing an improvement in the program. The Logic Framework Approach informed the program evaluation, utilizing a theory‐based approach to guide the development and evaluation of programs (Carrion et al., 2021). The inputs, activities, outputs, and short‐term outcomes and impact offered a framework for this program evaluation, with the anticipated longer‐term outcomes and impacts outlined below.…”

Section: Introductionmentioning

confidence: 99%

“…Outcomes , according to the Logic Framework, are the specific changes or results to be achieved (Carrion et al., 2021) and, along with the impacts of successful leadership mentoring programs, consist of the short‐, medium‐, and longer‐term results. Due to the timing of this evaluation, undertaken immediately following its completion, it focuses on the short term.…”

Section: Introductionmentioning

confidence: 99%

The Global Leadership Mentoring Community: An evaluation of its impact on nursing leadership

Rosser

Edwards

Kwan

et al. 2023

International Nursing Review

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AimTo evaluate a year‐long mentorship program, pairing nurses from different regions across the world to support their global leadership capability, and identifying additional consequences of their participation.BackgroundInvestment in developing nurse leaders continues as a strategic global imperative. Building on the first cohort's recommendations, this second program illustrates continued progress.Program evaluationUsing the logic model of program evaluation, this non‐empirical paper uses data collected from anonymized questionnaires and participants’ stories to help improve the program, illustrating innovative practices to develop the confidence and competence of emerging and established nurse leaders globally.DiscussionThe value of mentorship was recognized, and there were gains for both mentors and mentees in the development of leadership confidence and competence. Through engagement and collaboration with the whole community, participants were encouraged to understand their own and others’ cultures avoiding assumptions and stereotypes.ConclusionThis evaluation illustrates that in addition to helping improve future programs, mentorship has enabled the growth of individuals’ skill sets and the confidence to reach out to peers across the world to understand the meaning of global health and to make a meaningful contribution to the challenges they face.Implications for nursing practiceNurse managers should be encouraged to develop and formalize a mentoring culture to benefit the leadership competence and well‐being of their workforce.Implications for nursing policyEvery nurse has a responsibility to invest in nursing leadership for themselves and others. Mentorship can assist nurse leaders to build workforce capability to lead and contribute to the policy agenda locally, nationally, and internationally. Starting early and at the individual level, global mentorship programs can develop leadership expertise to help nurses find their voice and strengthen their confidence and competence to lead and therefore build the strategic leaders of the future.

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Program Evaluation Through the Use of Logic Models

Cited by 2 publications

References 4 publications

Fostering translational research in chronic disease management: a logic model proposal

Fostering translational research in chronic disease management: a logic model proposal

The Global Leadership Mentoring Community: An evaluation of its impact on nursing leadership

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