This document discusses MicroScope, a project that analyzes big routine practice data from specialized mental healthcare in the Netherlands. It describes how GGz InGeest has implemented double pseudonymization and statistical disclosure control to anonymize patient data. Researchers can then access this anonymized data through a data hub after obtaining internal approval. The document provides an example of analyzing intervention data for a patient and evaluates the reliability of survey data. It discusses challenges around using synthetic data and the need for data governance.

1. MICROSCOPE:
Big routine practice data uit de
specalistische GGZ
Dr Jeroen Ruwaard, Tim Zandbelt & Prof. Dr Johannes (Jan) H. Smit
Amsterdam UMC, VU Medisch Centrum / GGz InGeest
Nivel Symposium: Big Data in de GGZ
02 November 2018

2. MicroScope - Nivel Big data in de GGZ | november 2018

3. MicroScope - Nivel Big data in de GGZ | november 2018

4. MicroScope - Nivel Big data in de GGZ | november 2018

5. MicroScope - Nivel Big data in de GGZ | november 2018

6. MicroScope - Nivel Big data in de GGZ | november 2018

7. MicroScope - Nivel Big data in de GGZ | november 2018

8. Jeroen Ruwaard, Tim Zandbelt, Stasja Draisma, Adriaan Hoogendoorn, Wouter Van
Ballegooijen and Johannes H. Smit (2018). GiG: Mental Healthcare Routine
Practice Data of 'GGZ InGeest', Amsterdam. R package version 0.16.2018.10.21.
https://www.ggzingeest.nl/
MicroScope - Nivel Big data in de GGZ | november 2018

9. MicroScope - Nivel Big data in de GGZ | november 2018

10. MicroScope - Nivel Big data in de GGZ | november 2018
> nrow(bsq)
2931
> library(psych)
> reliability <- alpha(bsq)
> round(reliability$boot.ci, 4)
2.5% 5 0% 97.5%
0.9352 0.9402 0.9453
> fit <- cfa(3fctr, data = bsq)
> plot(fit)

11. MicroScope - Nivel Big data in de GGZ | november 2018
plot(seq_along(intervention_id) ~ date, subset(interventions, client_id = 1232984)

12. MicroScope - Nivel Big data in de GGZ | november 2018

13.  Dubbele Pseudonimisatie
 Statistical Disclosure Control
 Toestemmingsverklaringen
 Interne goedkeuring
 Synthetische data (?)
DATA HUB
Statistical
Disclosure
Control
Anonymised
Data
Data Governance Research
Soltana, Sabetzadeh & Briand, 2017
MicroScope - Nivel Big data in de GGZ | november 2018

14. MICROSCOPE:
Big routine practice data uit de
specalistische GGZ
Dr Jeroen Ruwaard: jeroen.ruwaard@ggzingeest.nl
Drs Tim Zandbelt : t.zandbelt@ggzingeest.nl
Prof Dr Johannes (Jan) H. Smit: jh.smit@ggzingeest.nl
Amsterdam UMC, VU Medisch Centrum / GGz InGeest