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HM404 Ab120916 ch06
1.
© 2017 American
Health Information Management Association © 2017 American Health Information Management Association Health Informatics Research Methods: Principles and Practice, Second Edition Chapter 6: Evaluation Methods
2.
© 2017 American
Health Information Management Association Learning Objectives • Demonstrate appropriate use of terms related to evaluation methods and theory. • Explain the rationale for conducting an evaluation or evaluation research. • Apply evaluation or evaluation research methods to a scenario. • Outline the steps in an evaluation of health information technology.
3.
© 2017 American
Health Information Management Association Introduction: Evaluation and Evaluation Research • Evaluation – A process to determine perceived value by stakeholders • Evaluation research – A specific kind of research that includes social science methods and a theoretic framework or model as part of exploratory or hypothesis- driven research
4.
© 2017 American
Health Information Management Association Evaluation Research Methods • Use a theoretic framework • Exploratory or hypothesis driven • Determine the variables based on theoretic constructs • Develop research procedures to study the theoretic constructs • Collect and analyze the data
5.
© 2017 American
Health Information Management Association Forms of Evaluation and Evaluation Research • Two categories of evaluation – Formative evaluation occurs during the program cycle to gather feedback from stakeholders or end-users to adjust the process or the software so that the desired effects are achieved. – Summative evaluation occurs at or near the end of the project and is undertaken to assess effectiveness of the program.
6.
© 2017 American
Health Information Management Association Formative Evaluation • Needs assessment – The process of determining, analyzing, and prioritizing needs, and in turn, identifying and implementing solution strategies to resolve high-priority needs • Implementation evaluation – Monitoring how well the planned events are actually occurring – Whether the implementation is meeting the expected timeframes • Process evaluation – How well the project was carried out
7.
© 2017 American
Health Information Management Association Examples of Formative Evaluation • Improvement in delivery methods with regard to technology used • The quality of implementation of a new process or technology • Information about the organizational placement of a given process • How well a planned process aligned with an actual process
8.
© 2017 American
Health Information Management Association Summative Evaluation • Two types –Impact evaluation • Assesses the intended or unintended net effects of the program or technology –Outcome evaluation • Determines whether the program or technology has caused demonstrable effects as defined in the project goals
9.
© 2017 American
Health Information Management Association Summative Evaluation (cont.) • Two components –Cost-effectiveness analysis • Compares the costs to the outcomes of two or more courses of action –Cost-benefit analysis • Compares the total costs of a program or project with its benefits
10.
© 2017 American
Health Information Management Association Complex Adaptive Systems (CAS) • An entity with many diverse and autonomous components or parts (called agents) that are interrelated and interdependent with many interconnections – The agents behave as a unified whole in learning from experience and in adjusting to changes in the environment. – Each agent maintains itself in an environment which it creates through its interactions with other agents. 10
11.
© 2017 American
Health Information Management Association Healthcare Organizations as CAS • Healthcare organizations have – Diverse agents that learn such as • Providers, patients, and other stakeholders – Nonlinear interdependencies • Small changes in the system may or may not result in a change at the system level • Reduce predictability – Self-organization • Patterns emerge based on the interaction of the components – Emergence • Patterns emerge from the system based on the individual agents as well as the specific interactions undertaken within the system – Coevolution • Both the system and the agent evolve
12.
© 2017 American
Health Information Management Association Sociotechnical Model for Health Information Technology • The eight dimensions provide a means to evaluate aspects of health information technology. • Each can be assessed for what is working well and what could be improved. • Evaluation findings can be used to iteratively revise software, processes, or components of the HIT to improve the use of the technology or the technology itself to improve safe use of technology in healthcare.
13.
© 2017 American
Health Information Management Association Design Principles for Health Information Technology • Five rights framework states that optimal design and implementation will be achieved if we provide: – The right information – To the right person – In the right format – Through the right channe. – At the right time in workflow • The five rights are essentially a framework for formative evaluation for HIT.
14.
© 2017 American
Health Information Management Association User Centered Design • The product, service, technology, or process should be designed for the user and their task. • There should be consistency of design elements with other components of the system. • The language and terminology should be simple and use terminology that the user is familiar with.
15.
© 2017 American
Health Information Management Association User Centered Design Model Source: Creately 2016. Reprinted with permission.
16.
© 2017 American
Health Information Management Association User Centered Design (cont.) • The user interface (UI) should be simple and transparent. • The user should know that their actions are successful and feedback to this effect should be provided. • Information should be provided about how to navigate the system. • Fundamental aspects of user centered design are to functionality aligned with the task. • Design the technology to reduce errors.
17.
© 2017 American
Health Information Management Association The System Usability Scale (SUS) • A frequently-used tool that is simple yet informative • Consists of a 10-item questionnaire originally created by John Brooke in 1986 • The SUS can be used to evaluate a wide variety of products and services including: – Hardware – Software – Mobile devices – Websites – Applications.
18.
© 2017 American
Health Information Management Association Evaluation • The evaluator develops the theory of change. • The theory of change is a statement that explains how activities will produce a series of results and impact and is used to develop a logic model. • In the logic model the desired effect is identified first and then the inputs, activities, resources, and outputs required to achieve these effects are identified.
19.
© 2017 American
Health Information Management Association Logic Model Example Source: University of Kansas Workgroup for Community Health and Development 2016. Reprinted with permission.
20.
© 2017 American
Health Information Management Association Evaluation Questions • Evaluation questions should be developed to guide the evaluation. • Questions should be identified and answered based on the logic models and the critical activities. • By posing the questions, data will be collected to answer these key questions and important aspects of the project will be assessed.
21.
© 2017 American
Health Information Management Association Evaluation Data Collection and Activities • Once the evaluation questions are determined, procedures will need to be established to collect the data to answer the questions. • Quantitative and qualitative data can be collected through a variety of methods. • The process of data collection should be feasible and the data accessible for collection.
22.
© 2017 American
Health Information Management Association Evaluation Research Examples • Process evaluation – O’Malley and colleagues (2005) examined key areas related to the use of coded data. In this study, the process of inpatient coding was examined via: • A review of the literature • Flow charting the process • Interviews • Discussion with coders and the users of the coded data
23.
© 2017 American
Health Information Management Association Evaluation Research Examples (cont.) – O’Malley and colleagues also provide a useful guide to calculating accuracy measures for coding. The most common statistics are: • Sensitivity • Specificity • Positive predictive value • Negative predictive value • The kappa (k) coefficient
24.
© 2017 American
Health Information Management Association Evaluation Research Examples (cont.) • Goal-based and impact evaluation – Shah and colleagues (2005) designed a computerized medication alert system to decrease adverse events with medications but the alerts often were overridden. • The system was redesigned to improve clinician acceptance • The first goal-based evaluation reflect frequent dismissal • The system was redesigned with user-centered design principals and re-evaluated for impact • The impact evaluation reflected that high-severity medication alerts were accepted. 24
25.
© 2017 American
Health Information Management Association Other Evaluation Resources • Office of the National Coordinator (ONC) testing process for certification of HIT • Agency for Healthcare Research and Quality (AHRQ) Evaluation Toolkit
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