The workload of manual data entry for integration between mobile health applications and eHealth infrastructure

In this study, we conducted a time-motion study observing healthcare workers (HCWs) completing data management activities including monitoring and evaluation (M&E) and manual data linkage of individual-level app data to electronic medical records (EMRS). This study served as a baseline study for an open-source app to mirror EMRS and reduce HCW workload while improving care in the Nurse-led Community-based Antiretroviral therapy Program (NCAP) in Lilongwe, Malawi.
, , , # The workload of manual data entry for integration between mobile health applications and eHealth infrastructure

Corresponding author (Caryl Feldacker): [[e-mail]](mailto:[e-mail])

## Cite this dataset

Data will be made available at Dryad upon acceptance at this link: [https://doi.org/10.5061/dryad.k0p2ngfdz](https://doi.org/10.5061/dryad.k0p2ngfdz)

## Dataset Include

Data dictionary

* Was verbal consent of the health care provider given? (1 = Yes, 2 = No)
* What was the provider Cadre that was observed (1 = Community health service nurse, 2 = Data officer, 3 = IT officer/Manager, 4= Other)
* The time arrived at the facility
* Facility Name (1-9)
* Observer code
* Length of time an individual's cadre has spent at a facility working on NCAP activities (1 = < 1 year, 2 = 1 - 5 years, 3 = 6 - 10 years, 4 = more than 10 years).
* Highest level of academic qualification (1 = Diploma or above, 2 = Certificate, 3 = MSCE, 4 = JCE/PSL, 5 = Other).
* Main activit...