Infrastructure
Human
- NS Team
- Staff in each department- # of interns, residents, consultants, nurses weekday vs weekend
Technical
- Computers
- Internet (wifi)
- Database hardware
- Database software
- Equipment needed to collect variables (i.e., vitals equipment), assemble data, maintain data
Hospital
- Are medical records paper or electronic?
- Existing platforms for data collection at hospital?
- Other department databases?
Cost Assessment
- Start up costs
- Maintenance costs
- Salaries
- Technology (hardware, software, internet/wifi)
- Printing costs
Other
- Compliance with national guidelines or regulatory statutes
- In alignment with MOH mHealth/eHealth policies/standards?
- In alignment with Duke/HIPAA standards?
Organization
Mapping
- Map start to finish (from data collection to compilation/assembly to storage to analysis to reporting to use)
Data Management Protocols and Data Quality
Data Collection
- Data Elements
- Are data elements for each of the indicators clearly defined? If not, what changes are recommended?
- Are there automated or manual validation checks for the data elements in the data set? If not, state the recommended changes to improve quality checks.
- Is it possible to link relevant databases to support the project’s/programme’s claims? Which databases should be linked and what identifiers might be used to link them?
- Data collection using paper forms
- If data from paper forms are needed to support the claims, is it feasible to readily access the data and is there a system linking the paper data to digital data? If not, what recommendations can be made to improve data use and accessibility?
Data Storage
- Data transmission
- Is the system for data backup, archiving and updating adequate?
- Data Security
- Are adequate data security measures in place?
- Is client information encrypted?
- Are measures in place to limit access to the data at each stage of collection and storage?
Data analytics/dashboard
- Data dashboard
- Is there a convenient way to export the data into a usable format and share it?
- For each indicator, is the level of disaggregation and reporting in alignment with how the indicator should be measured? If not, what changes should be made?
- Does a data dashboard exist to produce the following? Monthly/quarterly reports
- How frequently are new data entered by individuals at each level of the organization?
- How frequently are data accessed by individuals at each level of the organization?
- Are visual forms of the data (e.g., graphs, charts, tables, maps) readily available and/or easy to generate? ###Data Management
- Staff training
- In total, how many staff members are involved with data collection for this specific project?
- How many days in the last year, on average, have these staff members been trained on data collection procedures for this project?
- Is there a plan for refresher training in data collection?
- Given the size of the project, are there enough staff to support it?
- Given the complexity of the project, has sufficient training time been built in?
- Supervision
- If a supervisory role exists, does the level of supervision appear to be adequate given the scale of the operation?
- Has the role of supervision of the data collection process been assigned?
- How often does data collection staff receive an oversite visit?
- Data documentation
- Does documentation exist for key programme operations and procedures?
- Does documentation (e.g. a written protocol) exist to describe the use of the mobile/ paper tools for data collection?
- Does documentation exist for management of the data, roles and responsibilities?
- Are skip patterns in data clearly documented?
- Is there a documented system to check for data accuracy (such as random checks, regular tabulations to assess that the data make sense)?
Data Use
- Are meetings held regularly to discuss issues of data management and use?
- Based on existing meeting records, is data quality discussed during these meetings?
- Reporting? (y/n) How?
- Research? (y/n) How?
- Audit? (y/n) How?