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HTW 403 Oct. 5 Lecture notes

by: Alyson Forman

HTW 403 Oct. 5 Lecture notes HTW 402

Marketplace > Syracuse University > Public Health > HTW 402 > HTW 403 Oct 5 Lecture notes
Alyson Forman
Implem & Eval of Health Programs
L. Narine

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Dr. Narine's Oct. 5 Lecture notes
Implem & Eval of Health Programs
L. Narine
Class Notes
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This 2 page Class Notes was uploaded by Alyson Forman on Monday October 12, 2015. The Class Notes belongs to HTW 402 at Syracuse University taught by L. Narine in Summer 2015. Since its upload, it has received 27 views. For similar materials see Implem & Eval of Health Programs in Public Health at Syracuse University.


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Date Created: 10/12/15
Hierarchy of Evidence Critical Appraisal of Evidence Ensures relevance and transferability of evidence from the search to the specific population for whom the care will be provided or the policy will be applied 1 Assessing the strength of the scientific evidence 2 Evaluating the research for its quality and applicability to health care decision making 1 Strength of Evidence Grading of strength of evidence should incorporate Quality the extent to which bias was minimized internal validity Quantity the extent of the magnitude of effect numbers of studies and sample size or power Consistency the extent to which similar and different study designs report similar findings Evidence exists on a continuum of rigor Amount of research attention or maturity of science varies therefore evidence varies Type of research design reflects the strength of the evidence levels of evidence Levels of Evidence see BB Rating system for levels of Evidence Type of evidence Strength of evidence QuasiExperimental Differs from RCT s only in that participants are NOT randomized to treatment and control groups NonExperimental Cross Sectional take a snap shot in time of a population or representative subset CaseControl studies that address questions about harm or causation investigates why some people develop a disease or behave the way they do vs other who don t Cohort participants are studied over time study population shares common characteristics Descriptive main objective is to describe some phenomena Qualitative any kind of research that produces findings not arrived at by means of statistical procedures or other means of quantification Case Control Study See BB investigator works backward from outcome to predictor Exam Terms Reflexivity how potential biases could affect results circular relationships between cause and effect Observer Triangulation This is when more than one observer is used in a study One example is the use of independent raters and the calculation of interrater reliability in research Data Triangulation This involves conducting research at different times in different locations and using different groups of subjects Prolonged Engagement This involves spending adequate time observing various aspects of a setting speaking with a range of people and developing relationships and rapport with members of the culture Member Checking This is when data analytic categories interpretations and conclusions are tested with members of those groups from whom the data were originally obtained Thick Description a way of achieving a type of external validity By describing a phenomenon in sufficient detail one can begin to evaluate the extent to which the conclusions drawn are transferable to other times settings situations and people Audit Trail transparent description of the research steps taken from the start of a research project to the development and reporting of findings These are records that are kept regarding what was done in an investigation Peer Debriefing quotIt is a process of exposing oneself to a disinterested peer in a manner paralleling an analytical sessions and for the purpose of exploring aspects of the inquiry that might otherwise remain only implicit within the inquirer39s mindquot Lincoln amp Guba 1985 p 308 Negative Case Analysis This involves searching for and discussing elements of the data that do not support or appear to contradict patterns or explanations that are emerging from data analysis Transferability showing that the findings have applicability in other contexts


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