Sentence examples for blinding of data collection from inspiring English sources

Exact(8)

To achieve blinding of data collection, outcome data were collected by a different member of the research team from the nurse who had randomised the patients, but we acknowledge that participants could have mentioned telemonitoring, or equipment might have been visible during the home visit for data collection, making it impossible to maintain blinding in all cases.

The study has a strong design incorporating random allocation and blinding of data collection interviewers.

The study has a strong design incorporating random allocation, pragmatic design and blinding of data collection interviewers.

The study has a strong design incorporating random allocation, blinding of data collection staff and the use of dual, validated outcome measures.

Strengths of this study include the trial's randomised, pragmatic design, the use of theoretical framework and broad set of intervention strategies, the long duration of the intervention (10 months), the implementation of procedures to reduce potential threats to internal validity, such as the blinding of data collection interviewers and computer-based randomisation of groups.

Strengths of this study include the trial's randomised design, the use of theoretical framework and broad set of intervention strategies, the long duration of the intervention (12 months), the implementation of procedures to reduce potential threats to internal validity, such as the blinding of data collection interviewers and computer-based randomisation of groups.

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Similar(52)

The study has a strong design that incorporates computerised random allocation, blinding of data-collection staff and the use of dual, validated outcome measures.

The study has a strong design that incorporates computerised random allocation, blinding of data-collection staff and the use of audio recording as an objective measure of consultation communication.

Quality of the included studies was assessed by CBS and COE independently using the Effective Public Health Practice Project EPHPPP) Quality Assessment for Quantitative Studies [ 18], which enables assessment of selection bias, appropriateness of study design, the level of confounding, use of blinding, and the appropriateness of data collection methods and data analysis (see Additional file 3).

If applicable, we also appraised four design-specific items: randomization, blinding, clustering effect, and number of data collection points.

The data collectors were blind for this outcome at the moment of data collection as the all parameters were collected prospectively.

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