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Table 3 Example questions with explanations

From: A modified Delphi study to identify the features of high quality measurement plans for healthcare improvement projects

Question 51: Is there a plan in place for the prospective (1) identification and (2) minimisation of missing data? [No; Yes]

Category 2: Data collection and management

Subcategory 7: Outliers and missing data

Explanation: Data reviews, visual cues, and reminders can be used to identify missing data. It is important to carefully distinguish between data items that are not applicable versus missing data, and branching logic is useful for this. Methods to minimise missing data include database controls; review of the data collection tool by designated staff or an independent reviewer at the time of data entry; immediate reporting of problems to the data collection staff and project leaders – for example, if missing data are over a certain threshold, quality assurance review is needed etc. Missing data threaten the progress of QI initiatives and the validity of evaluation findings derived from them.

Question 61: Is the intended frequency of feedback of the analysis to the team stated?

[No; Yes]

Category 3: Analysis

Subcategory 8: Planning the analysis

Explanation: Continuous communication of ongoing evaluation results to stakeholders is important for a capable improvement initiative. Updating and reporting the measures can be done on a daily, weekly, monthly, quarterly, or yearly basis. The frequency should be sufficient to see a pattern and for quicker action on the system of interest. Monthly feedback of analysis is often best suited for appropriate outcome measures, whereas weekly (or more frequent) analysis is often preferable for key process measures. However, there can also be less frequently analysed measures of interest. For instance, smoking quit rates at 1 year, or effects of lifestyle changes, may take longer to manifest.

For QI work, it is important that at least for a small number of measures (the improvement measures), the frequency of feedback is high – ideally at least weekly. Explicitly stating the frequency of feedback at the planning stage can help to surface and deal with potential barriers to effective feedback at an early stage.