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?