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level: Level 2 - Internal Validity(within premise)

Questions and Answers List

level questions: Level 2 - Internal Validity(within premise)

Question	Answer
used to determine on what type of study you can use for a typical assessment of health technology	Algorithms for identifying study designs
The following will describe concepts that affects the quality of primary data studies particularly their ability to yield unbiased and precise estimate of treatment effects and other findings	1 Prospective, rather than retrospective design 2 • Experimental rather than observational 3 Controlled, rather than uncontrolled 4 Contemporaneous control groups 5 Internal control groups rather than external ones 6 Allocation concealment 7 Randomized assignment of patients 8 Blinding of patients 9 Large enough sample size to detect true treatment effects 10 Minimal patient drop-outs or loss
(it exists when the results of an intervention group and a controlled group are compared over the same time period)	Contemporaneous control groups
(you are having a controlled group within the premise or managing controlled groups within study)	Internal control groups
(usually it is a practice of keeping researchers and participants unaware of the sequence with the goal of preventing the researchers from influencing the group assignments of the study participants)	Allocation concealment
(means they are not aware who is assigned with an intervention or treatment)	Blinding of patients
are designed to maximize the internal validity and are generally regarded as the control or the gold standard for demonstrating the causal impact of technology on health care and also outcome	RCT or the Randomized Controlled Trials