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Logic model

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Example of a logic model for a school-based self-management educational interventions for asthma in children and adolescents.

Logic models are hypothesized descriptions of the chain of causes and effects (see Causality) leading to an outcome of interest (e.g. prevalence of cardiovascular diseases, annual traffic collision, etc). While they can be in a narrative form, logic model usually take form in a graphical depiction of the "if-then" (causal) relationships between the various elements leading to the outcome. However, the logic model is more than the graphical depiction: it is also the theories, scientific evidences, assumptions and beliefs that support it and the various processes behind it.[1][2]

Logic models are used by planners, funders, managers and evaluators of programs and interventions to plan, communicate, implement and evaluate them.[3][2] They are being employed as well by health scientific community to organize and conduct literature reviews such as systematic reviews.[4][5] Domains of application are various, e.g. waste management,[6] poultry inspection,[7] business education,[8] heart disease and stroke prevention.[9] Since they are used in various contexts and for different purposes, their typical components and levels of complexity varies in literature (compare for example the W.K. Kellogg Foundation[10] presentation of logic model, mainly aimed for evaluation, and the numerous types of logic models in the Intervention Mapping framework[11])). In addition, depending of the purpose of the logic model, elements depicted and the relationships between them is more or less detailed.

History of logic models

Citing Funnell and Rogers account,[12] Joy A. Frechtling (2015) encyclopedic article[2] traces logic model underpinnings in the 1950s. Patricia J. Rogers (2005) encyclopedic article[3] rather trace it back to 1967 Edward A. Suchman book[13] about evaluative research. Both encyclopedic article and LeCroy[14] one (2018) mention an increasing interest, usage and publications about the subject.

Uses of the logic model

Program planning

One of the most important uses of the logic model is for program planning. It is suggested to use the logic model to focus on the intended outcomes of a particular program. The guiding questions change from "what is being done?" to "what needs to be done"? McCawley suggests that by using this new reasoning, a logic model for a program can be built by asking the following questions in sequence:

  1. What is the current situation that we intend to impact?
  2. What will it look like when we achieve the desired situation or outcome?
  3. What behaviors need to change for that outcome to be achieved?
  4. What knowledge or skills do people need before the behavior will change?
  5. What activities need to be performed to cause the necessary learning?
  6. What resources will be required to achieve the desired outcome?[15]

By placing the focus on ultimate outcomes or results, planners can think backward through the logic model to identify how best to achieve the desired results. Here it helps managers to 'plan with the end in mind', rather than just consider inputs (e.g. budgets, employees) or the tasks that must be done.

Evaluation

The logic model is often used in government or not-for-profit organizations, where the mission and vision are not aimed at achieving a financial benefit. Traditionally, government programs were described only in terms of their budgets. It is easy to measure the amount of money spent on a program, but this is a poor indicator of outcomes. Likewise it is relatively easy to measure the amount of work done (e.g. number of workers or number of years spent), but the workers may have just been 'spinning their wheels' without getting very far in terms of ultimate results or outcomes.

However, nature of outcomes varies. To measure the progress toward outcomes, some initiatives may require an ad hoc measurement instrument. In addition, in programs such as in education or social programs, outcomes are usually in the long-term and may requires numerous intermediate changes (attitudes, social norm, industry practices, etc.) to advance progressively toward the outcomes.

By making clear the intended outcomes and the causal pathways leading to them, a program logic model provides the basis upon which planners and evaluators can develop a measurement plan and adequate instruments. Instead of only looking at the outcome progress, planners can open the "black box" and examine if the intermediate outcomes progress as planned. In addition, the pathways of numerous outcomes are still largely misunderstood due their complexity, their unpredictability and lack of scientific / practical evidences. Therefore, with proper research design, one may not only assess the progress of intermediate outcomes, but evaluate as well if the program theory of change is accurate, i.e. is successful change of an intermediate outcomes provokes the hypothesized subsequent effects in the causal pathway. Finally, outcomes may easily be achieved through processes independent of the program and an evaluation of those outcomes would suggest program success when in fact external outputs were responsible for the outcomes.[16]

Various types of logic models

The Inputs --> Activities --> Outputs --> Outcomes template

Many authors and guides use the following template when speaking about logic model:[2][3][10][14][17]

Inputs Activities Outputs Outcomes/impacts
what resources go into a program what activities the program undertakes what is produced through those activities the changes or benefits that result from the program
e.g. money, staff, equipment e.g. development of materials, training programs e.g. number of booklets produced, workshops held, people trained e.g. increased skills/ knowledge/ confidence, leading in longer-term to promotion, new job, etc.

Many refinements and variations[which?] have been added to the basic template. For example, many versions of logic models set out a series of outcomes/impacts, explaining in more detail the logic of how an intervention contributes to intended or observed results.[18] Others often distinguish short-term, medium-term and long-term results, and between direct and indirect results.

Intervention Mapping logic models

Logic Model of the Problem for Management information Decision Support Epilepsy Tool (MINDSET program) from Ruiter, DeSmet and Schneider (2007).[19]

Bartholomew et al. Intervention Mapping approach[11] makes an extensive use of the logic model through the whole life-cycle of a health promotion program. Since this method can start from as far as a vague desired outcome (author's example is a city whose actors decide to address "health issues" of the city), planners go through various steps in order to develop effective interventions and properly evaluate them (see Intervention Mapping entry for a more detailed account). Distinguishable but closely interwoven logic models with different purposes that can be developed through the process:

  • Logic model of the problem, which is a graphical depiction of at-risk population and its social environment behaviors (factors) leading to the health problem and their respective causal pathways (attitudes, beliefs, skills, etc.). This may include as well at-risk population physical environment related causes such as pollutants or lack of physical activity infrastructure and their respective causes, i.e. environmental agents behaviors leading to the physical environment causes and their respective causal pathways;
  • Once the most relevant behaviors and causal pathways are identified, planners develop a logic model of change. This is a model of behavioral changes (performance objectives) that should happen and their corresponding necessary changes higher up in the cause-effects chain.
  • Finally, a logic model of the intervention is developed. This model describes the various activities that will happen and the cascades of effects they are expected to cause toward the desired outcome.

Evaluators thereafter use the logic model of the intervention to design a proper evaluation plan to assess implementation, impact and efficiency.

Advantages

By describing work in this way, managers have an easier way to define the work and measure it. Performance measures can be drawn from any of the steps. One of the key insights of the logic model is the importance of measuring final outcomes or results, because it is quite possible to waste time and money (inputs), "spin the wheels" on work activities, or produce outputs without achieving desired outcomes. It is these outcomes (impacts, long-term results) that are the only justification for doing the work in the first place. For commercial organizations, outcomes relate to profit. For not-for-profit or governmental organizations, outcomes relate to successful achievement of mission or program goals.

Disadvantages

There are some potential disadvantages of logic models due to tendencies toward oversimplification.[20] These include:

  1. Program logic is no guarantee of actual logic in how the program may work. The world is complex, and some situations cannot be ascertained before they are implemented, so some programs may even progress against the "logic" of the model.
  2. It is a partial representation of a complex system.
  3. It is a representation of reality, not reality itself. Programs are not linear
  4. Normally, it does not include effects besides those initially expected.
  5. They do not necessarily establish causality. Many factors exert influence upon the effects.

References

  1. ^ Renger R (2002). "A Three-Step Approach to Teaching Logic Models". The American Journal of Evaluation. 23 (4): 493–503. doi:10.1016/s1098-2140(02)00230-8.
  2. ^ a b c d Frechtling, Joy A. (2015). "Logic Models". Elsevier. pp. 299–305. doi:10.1016/b978-0-08-097086-8.10549-5. ISBN 978-0-08-097087-5. {{cite book}}: Missing or empty |title= (help); Unknown parameter |encyclopedia= ignored (help); Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
  3. ^ a b c "Logic Model". Encyclopedia of Evaluation. Sage Publications, Inc. 2005. doi:10.4135/9781412950558.n321. ISBN 978-0-7619-2609-2.
  4. ^ Anderson LM, Petticrew M, Rehfuess E, Armstrong R, Ueffing E, Baker P, Francis D, Tugwell P (March 2011). "Using logic models to capture complexity in systematic reviews". Research Synthesis Methods. 2 (1): 33–42. doi:10.1002/jrsm.32. PMID 26061598.
  5. ^ Kneale D, Thomas J, Harris K (2015-11-17). "Developing and Optimising the Use of Logic Models in Systematic Reviews: Exploring Practice and Good Practice in the Use of Programme Theory in Reviews". PLOS ONE. 10 (11): e0142187. doi:10.1371/journal.pone.0142187. PMC 4648510. PMID 26575182.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  6. ^ Industrial Economics, Incorporated (IEc) Evaluation Team (2010). Evaluation of the WasteWise Program (PDF). EPA's Office of Policy, Economics, and Innovation.
  7. ^ Development of a logic model and an evaluation framework of the Canadian Food Inspection Agency's Modernized Poultry Inspection Program. Canada. Health Canada. Food Safety Assessment Program. [Ottawa]. ISBN 978-0-662-35161-0. OCLC 905371520.{{cite book}}: CS1 maint: others (link)
  8. ^ Hense J, Kriz WC, Wolfe J (February 2009). "Putting theory-oriented evaluation into practice: A logic model approach for evaluating SIMGAME" (PDF). Simulation & Gaming. 40 (1): 110–33. doi:10.1177/1046878107308078.
  9. ^ Sitaker M, Jernigan J, Ladd S, Patanian M (April 2008). "Adapting logic models over time: the Washington State Heart Disease and Stroke Prevention Program experience". Preventing Chronic Disease. 5 (2): A60. PMC 2396971. PMID 18341795.
  10. ^ a b W.K. Kellogg Foundation (1998). W.K. Kellogg Foundation Logic Model Development Guide. Battle Creek: W.K. Kellogg Foundation.
  11. ^ a b Eldredge LK, Markham CM, Ruiter RA, Kok G, Parcel GS (2016). Planning health promotion programs: an intervention mapping approach (Fourth ed.). San Francisco, CA: John Wiley & Sons. ISBN 978-1-119-03556-5. OCLC 914256995.
  12. ^ Funnell SC, Rogers PJ (February 2011). Purposeful program theory: Effective use of theories of change and logic models (1st ed.). San Francisco, CA: John Wiley & Sons. ISBN 978-0-470-47857-8. OCLC 660161852.
  13. ^ Suchman E (December 1968). Evaluative Research: Principles and Practice in Public Service and Social Action Progr. New York: Russell Sage Foundation. ISBN 978-0-87154-863-4. OCLC 712569.
  14. ^ a b LeCroy, Craig Winston (2018-06-25). "Logic Models". Encyclopedia of Social Work. doi:10.1093/acrefore/9780199975839.013.1273. ISBN 9780199975839. {{cite journal}}: Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
  15. ^ McCawley, Paul F. (1995). The logic model for program planning and evaluation (PDF). University of Idaho Extension. {{cite book}}: Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
  16. ^ Rossi, Peter H; Lipsey, Mark W; Freeman, Howard E (2004). Evaluation : a systematic approach (7th ed.). Thousand Oaks, CA: Sage. ISBN 978-0-7619-0894-4. OCLC 52706526. {{cite book}}: Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
  17. ^ McLaughlin, John A.; Jordan, Gretchen (2015-10-14). Using Logic Models. John Wiley & Sons, Inc. pp. 62–87. doi:10.1002/9781119171386.ch3. ISBN 978-1-119-17138-6. {{cite book}}: |work= ignored (help); Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
  18. ^ Weiss CH (1972). Evaluation Research. Methods for Assessing Program Effectiveness. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.
  19. ^ Shegog R, Begley CE (2017). "Clinic-Based Mobile Health Decision Support to Enhance Adult Epilepsy Self-Management: An Intervention Mapping Approach". Frontiers in Public Health. 5: 256. doi:10.3389/fpubh.2017.00256. PMC 5632356. PMID 29043247. The full intervention mapping based protocol is available in the full article{{cite journal}}: CS1 maint: unflagged free DOI (link)
  20. ^ Knowlton, Lisa Wyatt; Phillips, Cynthia C; Phillips, Cynthia (2013). The logic model guidebook : better strategies for great results (2nd ed.). Los Angeles: SAGE C. ISBN 978-1-4522-1675-1. OCLC 791492618. {{cite book}}: Unknown parameter |name-list-format= ignored (|name-list-style= suggested) (help)
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