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Guide for General Protocol Checklist
Summarize the main idea under investigation. The title should be able to stand alone as an explanation of the study.
Give a concise overview of the project. Describe the purpose of the study, including problem to be investigated and hypothesis(es) to be tested, the population, and the methods that will be used. Avoid the use of acronyms. Include the expected benefit of the study.
Include the names and degrees of all investigators and their roles in the project. Note any conflict of interest for each investigator and acknowledge all funding sources.
Literature review/current state of knowledge about project topic:
Discuss relevant information about the participant of the project based on a review of the literature. In the Reference section, attach a bibliography of the sources used.
Justification for study:
Explain the public health and scientific importance of the study. In the context of previous studies, describe the contribution this study will make.
Intended/potential use of study findings:
Define the primary target audiences and discuss the expected applicability of study findings.
Describe the study design and the locations where the study will be conducted.
Clearly and concisely list the objectives that the project will address.
Hypotheses or questions:
List the clear and focused question(s) that the study will answer. State the type of hypothesis(es) that will be explored or tested.
Describe whether the approach used will be descriptive, exploratory (hypothesis-generating), confirmatory (hypothesis testing), or developmental (focused on corrective action).
How study design or surveillance system addresses hypotheses and meets objectives:
Explain the appropriateness of the study design to the project and to the questions and objectives previously outlined. Distinguish between procedures that are experimental and those that involve routine care. Identify specific design attributes that characterize the study design (e.g., cross-sectional survey, case/control, cohort, focus group, chart review, etc.) or surveillance system (e.g., description of the system as active or passive, defining reported cases as individual versus aggregate and as laboratory confirmed or not).
Audience and stakeholder participation:
Define the primary audiences for the project. Assess the major stakeholders and describe ways they can (and cannot) participate in the study. Explain the process by which those affected by the study can express their views, clarify their needs, and contribute to the project.
Study time line:
Provide a calendar with estimated dates for implementing and completing key activities.
Description and source of study population and catchment area:
Demographically and in terms of the specific public health conditions to be studied, define the population from which the participants, sample or surveillance participants will be drawn and to what population inferences will be made.
Provide descriptions of illness, condition or health event which defines a study participant as having that condition.
Participant inclusion criteria:
Describe conditions or characteristics applicable to the identification and selection of participants in the study and the conditions necessary for eligible persons to be included.
Participant exclusion criteria:
Describe characteristics that would disqualify otherwise eligible participants from the project.
Justification of exclusion of any sub-segment of the population:
If a sub-population as defined by gender, race/ethnicity, or age is excluded, provide reasons.
Estimated number of participants:
State the estimated number of participants for the study. For a project establishing or using data from a surveillance system, this may include the expected number of reported cases per reporting period for epidemic and non-epidemic periods.
Sampling, including sample size and statistical power:
Describe the sample (e.g., the sample will be one of convenience, a population-based representation or systematically chosen for some other purpose). State the sampling units and units of analysis. Estimate required sample sizes to answer questions and test statistical hypotheses (based on available information from pilot studies or previous reports). Include statistical power estimates. Explain the conditions under which sampling estimates would be revised. If group-level or aggregate information will be collected (e.g., from focus groups), explain how the groups will be comprised, or what procedures will be followed to create appropriate groups.
Describe the manner in which potential participants will be contacted, screened, and registered in the study. Describe procedures for tracking the number of persons who withdraw from the study. Explain the procedures for assigning participants to different groups. Include a discussion of how departures from the intended enrollment procedures will be handled and documented.
Describe procedures for informing participants about study and methods and for obtaining consent.
List and briefly describe the categories, topics, or domains of information to be explored and variables to be collected. Address consistency of definition of variables for data collected from multiple sources. Traditionally, for outbreak investigations, “time," “place” and “person” would be collected to construct the epidemiologic curve. Explain how the variables will be utilized and the process by which variables will be defined.
Study instruments, including questionnaires, laboratory instruments and analytic tests:
Describe strategies to elicit information, including specific techniques and study and laboratory instruments, and explain how they will be used. Describe the attributes of those strategies/ instruments as demonstrated in other studies, including appropriateness, validity and reliability within the particular study populations, sensitivity and specificity of instruments, how well they yield reproducible results and whether any controversial methods are being used. Include a discussion of how changes to the study instruments will be handled and documented.
Training for all study personnel:
Describe training, such as interviewer techniques, data collection and handling methods or informed consent, provided to study personnel. Address how inter-observer differences will be handled.
Data handling and analysis
Data analysis plan, including statistical methodology and planned tables and figures:
Describe the sampling methods, information collection procedures, methods to maximize response rates, test procedures and relevant statistical quantities (e.g., variance, confidence intervals and power based on data from the study) in sufficient detail that the methods are reproducible. This includes calculation of relevant quantitative measures for tests and instruments, such as sensitivity and specificity. In outbreak investigations, it is common to employ an iterative process in the analysis (consisting of developing and testing hypotheses and planning and evaluating interventions) to identify the source of the outbreak and control it. For projects establishing or utilizing data from a surveillance system, this could include how and how often the surveillance system will be evaluated. Describe what tables and figures are planned to present study results.
Describe data collection procedures, processes and documentation. For data emanating from a surveillance system, this would include frequency of reports.
Information management and analysis software:
Provide the names of data entry, management and analysis software packages and computer programming languages to be used for the project.
Data entry, editing and management, including handling of data collection forms, different versions of data, and data storage and disposition:
Describe the overall procedures for management of the data collected. Include in the description the process for entering and editing data. Describe how study materials, including questionnaires, statistical analyses, unique reagents, annotated notebooks, computer programs and other computerized information, whether used for publication or not, will be maintained to allow ready, future access for analysis and review. Document operating procedures for managing and accessing different versions of data sets. State who the data belong to and any rights to and limitations to access for any primary and secondary data analyses and publications. Document procedures regarding confidentiality of the data, including how confidentiality will be preserved during transmission, use and storage of the data and the names of persons or positions responsible for technical and administrative stewardship responsibilities. Document what the final disposition of records, data, computer files, and specimens will be, including location for any relevant information to be stored.
Describe the steps that will ensure no unintended consequences that could affect the quality of the data. Those steps might include methods to capture all reported data exactly as received, assuring logical consistency among all parts of a record and ensuring that manipulation or transformation of the data (e.g from audio tape to transcribed text) produces no unintended changes, and verifying that statistical and arithmetic calculations are performed as proposed in the data analysis plan. For outbreak investigations, this would include verifying diagnosis and confirming the outbreak. Describe procedures for ongoing data quality monitoring to assure that information of appropriate depth, breadth, and specificity is collected and remains consistent within and among staff over time, and acceptable levels of such attributes as validity, reliability, reproducibility, sensitivity and specificity are achieved.
Bias in data collection, measurement and analysis:
Describe the kinds of bias that may occur in collecting the data or in the measurement or analysis phases, and the steps that will be taken to avoid, minimize and compensate for the bias. Include factors in the study population or in study personnel that could bias results, as well as the steps that will be taken to assure valid self-reporting or recording of observations. Include any randomization and blinding procedures that will be used to eliminate/minimize bias by investigators, other study staff or participants (e.g., in selection of participants, allocation to treatment groups, providing/receiving treatment).
Intermediate reviews and analyses:
Describe the ways that progress will be tracked and the study will be evaluated prior to assessing final results.
Limitations of study:
Explain factors that might reduce the applicability of study results. Discuss potential weak points or criticisms of the study, including alternative methods.
Dissemination, notification and reporting of results
Notifying participants of study findings:
Explain whether the participant will be offered the option of receiving overall study findings and the form they will take.
Anticipated products or inventions resulting from the study and their use:
List any products, including inventions, derived from the study, and how those will be used.
Disseminating results to public:
Define effective communication channels and best formats for presenting information that will be used to disseminate project results to specific target audiences.
List bibliographic references used to create and delimit all aspects of the study.
Data collection forms:
Include any forms or documents used to collect data or from which data are abstracted. Examples of these are questionnaires, medical records and other abstraction forms.
Proposed tables and figures:
Provide table shells and examples of figures for presentation of data and study results.•Other relevant documents: Include any other relevant supplementary materials.