The Mental Health Information and Geographic Distribution in Urban Areas: SIMPUS Dataset Analysis of Patients with Schizophrenia

Hendra Rohman, Nor Naela Bella Arrizah


Background: The highest rates of schizophrenia
in Indonesia was Yogyakarta and Aceh Province.
Schizophrenia cases in 2015-2017 recorded an increase
to 9,599 cases. In the city of Yogyakarta, the highest
sufferers of schizophrenia patients were in Pakualaman
and Mergangsan Health Center. This mental health data
requires geographic information system as a preventive,
promotive and rehabilitative effort in health services.
This study aims to exploring SIMPUS dataset to identified
geographic distribution of patients with schizophrenia,
community’s stigma, and socio-demographic factors.
Method: Descriptive method and cross sectional design
using geographic information systems. Schizophrenia
patients was 130 patients. Quantum GIS used for
buffering and descriptive analysis. Global positioning
system was used to record the geographical position of
house participant. Results: In 2018 Pakualaman region,
there were 24 patient and in Mergangsan region there
were 106 patient. Categorize schizophrenia coded F20
without specifications. Schizophrenics in Pakualaman
region were more commonly found in Purwokinanti, while
in Mergangsan region in Brontokusuman. The sociodemographic
factors were influenced by multifactors,
namely genetics, population density, and social status. The
community’s stigma that schizophrenia was a non-medical
disease and considered a curse. Conclusion: The use of
SIMPUS dataset be applied innovatively within a mapped
area featured with schizophrenia cases. Community
stigma that schizophrenia cannot be cured. The sociodemographic
factors were influenced by genetic factors
(heredity), population density (urbanites) and social
status causing high stressors in the region.

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