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"analytic framework"

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Analytic Frameworks. Prepared for: Agency for Healthcare Research and Quality (AHRQ), Training Modules for Systematic Reviews Methods Guide, www.ahrq.gov

Analytic Frameworks

Systematic Review Process Overview. This figure presents an overview of the steps in the systematic review process. The first step, the preparation of the topic, requires refining the topic and developing an analytic framework. The second step is to search for and select studies for inclusion, which involves identifying study eligibility criteria, searching for relevant studies, and selecting evidence for inclusion. The third step is to extract data from individual studies. The fourth step is to analyze and synthesize studies, which involves assessing the quality of individual studies, assessing applicability, presenting findings in tables, synthesizing quantitative data, and grading the strength of evidence. The final step is to report the systematic review. This module focuses on the development of analytic frameworks.

Systematic Review Process Overview

Learning Objectives. To understand the use of analytic frameworks within systematic reviews; to develop an understanding of principles for developing analytic frameworks; to understand which elements of a review can be represented in an analytic framework.

Learning Objectives

What Is an Analytic Framework? A type of evidence model that links and defines clinical concepts, evidence, and populations as they relate to outcomes. Sometimes referred to as causal pathways. Alternative and related concepts are: Conceptual frameworks, Influence diagrams, Theoretical frameworks, Logic models.

What Is an Analytic Framework?

Why Use Analytic Frameworks? To provide clinical, biological, or health services underpinnings for the mechanism of action. To clarify implicit assumptions. To identify logical flaws as key questions are developed. To provide a starting point for discussions with key informants. To identify distinct bodies of evidence to be included in the review.

Why Use Analytic Frameworks?

The Importance of an Analytic Framework. Specifies populations, interventions, and outcomes, and sometimes comparators, timing, and settings. Identifies potential modifiers and mediators of effectiveness. Clarifies links between intermediate and health outcomes.

The Importance of an Analytic Framework

When To Use Analytic Frameworks. Complex bodies of literature with multiple key questions: analytic frameworks help define key questions, and thus direct specific literature searches. Complex chain of logic between intermediate and clinical outcomes: analytic frameworks help users understand decisional context.

When To Use Analytic Frameworks

Components. Population of interest. Intervention. Linkages that demonstrate key questions. Intermediate outcomes. Ultimate health outcomes (including harms).

Components

Depicting Essential Components: An Example. Graphical chain of logic: Arrows - Linkages, Preventive service or treatment, Questions. Dotted lines – Associations. Rectangles - Intermediate outcomes, Rounded corners; Health states, Square corners. Curved arrows - Lead to ovals, Harms

Depicting Essential Components: An Example

This figure shows a blank portion of an analytic framework with a box with rounded edges connected to another box with rounded edges, which is then connected to a sharp-edged box. These represent two intermediate outcomes leading to a final health outcome. An arrow leads down from the figure to an oval shape, representing a potential harm. The framework also has an arrow leading directly form the first box to the final health outcomes box, indicating that there may also be a direct relationship.

Key Research Questions

This figure shows a sample working framework. It begins on the left side with persons at risk. A solid arrow labeled “Screening” leads to a round-edged rectangle that represents “Early Detection of a Target Condition.” A curvy arrow leads down to an oval representing “Adverse Effects of Screening.” A solid arrow labeled “Treatment” leads right from the first box to another round-edged rectangle representing “Intermediate Outcomes.” Another curvy arrow leads down to an oval representing “Adverse Effects of Treatment.” Finally, a dotted line leads from the “Intermediate Outcomes” box to a sharp-edged box that represents the ultimate health outcome: “Reduced Morbidity and/or Mortality.”

Sample Working Framework

This framework begins with a box representing “Women presenting with symptoms of OAB”, which is also labeled “Population” for the PICOTS (population, intervention, comparators, outcomes, timing, and setting) domain. An arrow labeled “History/Clinical exam” leads from this box to a diamond labeled “Testing.” Arrows lead to a box labeled “Further evaluation” and another labeled “None.” Arrows lead from each box to a diamond labeled “Diagnosis.” An arrow leads from this diamond back to the “Testing” diamond. All of the boxes and diamonds listed so far are contained by a bracket labeled “Key Question 1.” An arrow leads from “Diagnosis” to another diamond labeled “Treatment Choice,” which is also labeled “Intervention” for PICOTS and Key Question 5. An arrow leads from “Treatment Choice” to a box labeled “Treatment approach.” An arrow labeled “Key Question 2 & Key Question 3” leads from “Treatment Approach” to a box containing outcomes. This box is labeled “Outcomes” for the PICOTS domain. An arrow leads from the outcomes box to the “Testing” diamond, indicating that the process can be repeated. The entire framework is framed by “Health care system” modifiers at the top, and “KQ4 Individual characteristics” at the bottom.

Sample Screening and Treatment Framework

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