ÐÏࡱá>þÿ 9;þÿÿÿ8ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿì¥Á#` ð¿fbjbj¡¡ 4$ÃÃfÿÿÿÿÿÿ¤¤¤¤¤¤¤¤¸@ @ @ @ \ ¸X¶| | | | | W W W ×ÙÙÙÙÙÙ$hv”ý¤W W W W W ý¤¤| | Û§ § § W ¤| ¤| ×§ W ×§ § ¤¤§ | p �I jÈ@ m :§ ×(0X§ § § ¤§ 0 W W § W W W W W ýý§ W W W XW W W W ¸¸¸äœ ¤¸¸¸œ ¸¸¸¤¤¤¤¤¤ÿÿÿÿ THE ELEMENTS OF A RESEARCH PROTOCOL UT IRBs require the submission of a complete protocol to accompany any IRB application for review. The following are general guidelines to assist investigators in developing a research protocol. To prevent any delays in the review process, please refer to this list to ensure that a complete protocol containing the following elements is submitted for review. 1. Background, Review of the Literature, Significance Explanation of the phenomena being studied, current therapies and gaps in the body of knowledge; previous studies conducted as supported by a search of the literature; demonstration of how the proposed study will add to knowledge on this subject. 2. Objectives/Specific Aims A clear, concise yet sufficiently detailed statements of the research questions to be answered in the study; also known as null and alternative hypotheses. Example: To compare the cure rate of pneumonia between treatment with test drug A and current therapy B, in patients hospitalized following cardiac surgery. 3. Methods a) Study Design The design of the research, such as: cross-sectional, select subjects at one point in time; cohort, follow subjects forward in time or examine their past; case-control, select subjects based on their disease state; experimental, subjects are randomly assigned to groups for purposes of the study; quasi-experimental, subjects cannot be randomized or controls are not feasible; qualitative. b) Method of treatment assignment The group assignment including: the randomization process, simple randomization with equal assignment to groups or stratified randomization; and blinding, open-label (investigators and subjects know their assigned group), single blind (subject does not know their treatment but investigator does), double blind (neither investigator nor subject are aware of treatment assignment) or triple blind (investigators, subjects, and individuals analyzing the data do not know the treatment assignment). c) Inclusion/exclusion criteria The characteristics required of subjects to be in the study and those which would make a subject ineligible. d) Justification of the number of subjects The minimum number of subjects required to answer the aims of the study. This number can be calculated by specifying the magnitude of the effects that are desirable, variability of the measurements and the acceptable degree of errors. Also termed power calculation. A statistician may be consulted. e) Study setting The location where the study will be conducted. Example: laboratory, classroom, inpatient unit, outpatient, clinic. f) Primary and secondary outcome measures The endpoints used to answer the aims of the study. The primary outcome(s) is the most important; secondary measures are of interest, but not the main focus of the study. g) Variables The data items collected from subjects other than the outcome measures. Example: Demographic variables, age, race, gender, medical conditions. Please include a copy of the data collection form. If a survey is planned, the survey and/or interview questions must be submitted. h) Procedures, interventions, schedule The procedures, interventions, processes involving the subject, how they will be done and when, and any follow-up. A schema depicting the study’s time line is useful. Clearly delineate those procedures which are done as part of standard care versus those that are done for research purposes only. i) Planned data analysis The statistical methods to be used for each aim of the study. Example: Student t-test, paired t-test, Chi-square. Again, consultation with a statistician may be useful. 4. 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