Here are a set of python modules that extend Django to empower you to build an EDC / eSource system to handle data collection and management for multi-site longitudinal clinical trials.
Refer to the specific open projects listed below for example EDC systems built with these modules. The more recent the trial the better the example.
The codebase continues to evolve over many years of conducting clinical trials for mostly NIH-funded clinical trials through the Harvard T Chan School of Public Health, the Botswana-Harvard AIDS Institute Partnership in Gaborone, Botswana and the London School of Hygiene and Tropical Medicine. Almost all trials were originally related to HIV/AIDS research.
More recent work with the RESPOND Africa Group formerly at the Liverpool School of Tropical Medicine and now with the University College London Institute for Global Health has expanded into Diabetes (DM), Hypertension (HTN) and models of integrating care in Africa (https://inteafrica.org) for the three main chronic conditions -- HIV/DM/HTN.
See also https://www.ucl.ac.uk/global-health/respond-africa
The implementations we have developed are mostly eSource systems rather than the traditional EDCs.
The clinicedc
for each trial consists of a subset of trial-specific modules that reference this module.
(python 3.11, Django 4.2, MySQL 8+, see setup.cfg)
Here is a simple example of a data management section for a study protocol document: data_management_section
Recent examples of clinicedc
applications using this codebase:
Controlling chronic diseases in Africa: Development and evaluation of an integrated community-based management model for HIV, Diabetes and Hypertension in Tanzania and Uganda
https://github.com/intecomm-trial/intecomm-edc (2022- )
Fluconazole plus flucytosine vs. fluconazole alone for cryptococcal antigen-positive patients identified through screening:
A phase III randomised controlled trial
https://github.com/effect-trial/effect-edc (2021- )
http://www.isrctn.com/ISRCTN30579828
A randomised placebo-controlled double-blind phase III trial to determine the effects of metformin versus placebo on the incidence of diabetes in HIV-infected persons with pre-diabetes in Tanzania.
https://github.com/meta-trial/meta-edc (2021- )
(The same codebase is used for META Phase 2 and META Phase 3)
http://www.isrctn.com/ISRCTN77382043
Retrospective HIV/Diabetes/Hypertension Cohort (Tanzania)
https://github.com/mapitio/mapitio-edc (2020-2022)
Integrated care for HIV and non-communicable diseases in Africa: a pilot study to inform a large-scale trial (MOCCA and MOCCA Extension Study)
https://github.com/mocca-trail/mocca-edc (2020-2022)
http://www.isrctn.com/ISRCTN71437522
Evaluating the integration of health services for chronic diseases in Africa
(32 sites in Uganda and Tanzania)
https://github.com/inte-africa-trial/inte-edc (2020-2022)
http://www.isrctn.com/ISRCTN43896688
A randomised placebo-controlled double-blind phase II trial to determine the effects of metformin versus placebo on the incidence of diabetes in HIV-infected persons with pre-diabetes in Tanzania.
(3 sites in Tanzania)
https://github.com/meta-trial/meta-edc (2019-2021)
http://www.isrctn.com/ISRCTN76157257
High dose AMBISOME on a fluconazole backbone for cryptococcal meningitis induction therapy in sub-Saharan Africa
(7 sites in Botswana, Malawi, South Africa, Uganda, Zimbabwe)
https://github.com/ambition-trial/ambition-edc (2018-2021)
http://www.isrctn.com/ISRCTN72509687
Start with main repo ambition-edc
(30 remote offline sites in Botswana)
https://github.com/botswana-combination-prevention-project (2013-2018)
https://clinicaltrials.gov/ct2/show/NCT01965470
https://www.ncbi.nlm.nih.gov/pubmed/?term=NCT01965470
https://aids.harvard.edu/tag/bcpp/
Start with main repo bcpp
For further information go to https://github.com/erikvw.
edc-adherence | ||
edc-csf | ||
edc-dx | ||
edc-dx-review | ||
edc-glucose | ||
edc-he | ||
edc-mnsi | ||
edc-microbiology | ||
edc-microscopy | ||
edc-pharmacy | ||
edc-pharmacy-dashboard | ||
edc-qol | ||
edc-rx | ||
edc-vitals |
Thanks to JetBrains for support with an opensource PyCharm IDE license.