Geospatial investigations in Colombia reveal variations in the distribution of mood and psychotic disorders

• Published in: Communications medicine Vol. 4; no. 1; p. 26
• Main Authors: Song, Janet, Ramírez, Mauricio Castaño, Okano, Justin T., Service, Susan K., de la Hoz, Juan, Díaz-Zuluaga, Ana M., Upegui, Cristian Vargas, Gallago, Cristian, Arias, Alejandro, Sánchez, Alexandra Valderrama, Teshiba, Terri, Sabatti, Chiara, Gur, Ruben C., Bearden, Carrie E., Escobar, Javier I., Reus, Victor I., Jaramillo, Carlos Lopez, Freimer, Nelson B., Olde Loohuis, Loes M., Blower, Sally
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 21.02.2024; Springer Nature B.V; Nature Portfolio
• Subjects: 631/114/116; 631/378/116; 692/700/228; Codes; Electronic health records; Emotions; Gender; Geography; Health care access; Health disparities; Medicine; Medicine & Public Health; Mental disorders; Mental health; Mood disorders; Municipalities; Patients; Population; Psychosis; Womens health; Colombia
• ISSN: 2730-664X; 2730-664X
• DOI: 10.1038/s43856-024-00441-x

Background Geographical variations in mood and psychotic disorders have been found in upper-income countries. We looked for geographic variation in these disorders in Colombia, a middle-income country. We analyzed electronic health records from the Clínica San Juan de Dios Manizales (CSJDM), which provides comprehensive mental healthcare for the one million inhabitants of Caldas. Methods We constructed a friction surface map of Caldas and used it to calculate the travel-time to the CSJDM for 16,295 patients who had received an initial diagnosis of mood or psychotic disorder. Using a zero-inflated negative binomial regression model, we determined the relationship between travel-time and incidence, stratified by disease severity. We employed spatial scan statistics to look for patient clusters. Results We show that travel-times (for driving) to the CSJDM are less than 1 h for ~50% of the population and more than 4 h for ~10%. We find a distance-decay relationship for outpatients, but not for inpatients: for every hour increase in travel-time, the number of expected outpatient cases decreases by 20% (RR = 0.80, 95% confidence interval [0.71, 0.89], p  = 5.67E-05). We find nine clusters/hotspots of inpatients. Conclusions Our results reveal inequities in access to healthcare: many individuals requiring only outpatient treatment may live too far from the CSJDM to access healthcare. Targeting of resources to comprehensively identify severely ill individuals living in the observed hotspots could further address treatment inequities and enable investigations to determine factors generating these hotspots. Plain language summary The frequencies of mental disorders vary by geographic region. Investigating such variations may lead to more equitable access to mental healthcare and to scientific discoveries that reveal specific localized factors that contribute to the causes of mental illness. This study examined the frequency of three disorders with a major impact on public health – schizophrenia, bipolar disorder, and major depressive disorder – by analyzing electronic health records from a hospital providing comprehensive mental health care for a large region in Colombia. We show that individuals receiving outpatient care mainly live relatively near the facility. Those receiving inpatient care live throughout the region, but cluster in a few scattered locations. Future research could lead to strategies for more equitable provision of mental healthcare in Colombia and identify environmental or genetic factors that affect the likelihood that someone will develop one of these disorders. Song et al. conduct a geospatial analysis of variations in incidence of mood and psychotic disorders and access to care in Caldas, Colombia. They show that many patients requiring only outpatient care live too far away to access it and identify hotspots of more severely ill patients, highlighting the need for targeted interventions.