Practice development: collaborative working in social care
Participants should develop methods for data collection that fit into existing processes, such as team meetings and existing paperwork, thus minimising additional work. Depending on the size of the organisation, it may also be helpful to set up online discussion forums on the organisation’s intranet.
Data collection can include any aspects that participants feel will be useful. Below are some examples:
- Practitioners’ perception of change in approach to work.
- The views of people using the service.
- Different skills, experience, knowledge used.
- Different skills, experience, knowledge needed.
- Are there helpful processes and procedures? How can we ensure that these continue?
- Are there processes and procedures that get in the way? What will we do about these?
- Are differences in practice justifiable? What criteria can be used to determine this?
- Is there something we are now doing that should be incorporated into procedures?
- Have we found any big issues or learning points?
- Are there any changes needed for the project itself?
It is important to collect data in a way that it can be compared while also allowing for qualitative information to be collected. Final data analysis should acknowledge that qualitative data can be subject to a number of variables but it can also be very valuable and useful for informing future practice. Time should be given to participants to share experiences and discuss differences in practice style and assumptions so that individual and team knowledge can be shared, understood and recorded. Compiling the data and the questions raised is more effective if undertaken as a team rather than as individuals working alone.
Example formats for data collection
|Where are we now?||What do we want to achieve?||How will we get there?||Who needs to take what action?||Timescales|
|Learning points||Action points||Responsibility||Implement by|
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