Alain Lesage1,2, Josiane Courteau3, Sébastien Brodeur4, Emmanuel Stip2,5, Marie-Josée Fleury6,7, Mireille Courteau3, Marc-André Roy4,8, Alain Vanasse3,9. 1. Research Centre, Institut universitaire en santé mentale de Montréal (IUSMM), Montréal, Quebec. 2. Département de Psychiatrie et d'Addictologie, Université de Montréal, Montréal, Quebec. 3. Groupe de recherche PRIMUS, 12370Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), Sherbrooke, Quebec. 4. Département de Psychiatrie et Neurosciences, 12369Université Laval, Québec, Quebec. 5. Department of Psychiatry and Behavioral Science, College of Medicine and Health Science, United Arab Emirates University, Al Ain, United Arab Emirates. 6. Douglas Mental Health University Institute, McGill University, Montréal, Quebec. 7. Department of Psychiatry, 12368McGill University, Montréal, Quebec. 8. Centre de Recherche CERVO, Québec, Quebec. 9. Département de médecine de famille et de médecine d'urgence, Université de Sherbrooke, Sherbrooke, Quebec.
Based on a representative household survey of handicap in China, Luo et al. 2021 (Can J
Psychiatry, April issue)
reported a higher prevalence of schizophrenia in large urban areas, and also a higher
prevalence in men compared to non-large urban areas. A similar observation can be made in
Canada which could influence decision-makers to use more suitable relative needs indicators
for resources allocation planning.Using a Quebec-linked health services utilization database, Ngui et al. demonstrated a higher
incidence of schizophrenia in Montreal compared to the rest of Quebec.
Also, according to the Canadian Chronic Disease Surveillance System (https://health-infobase.canada.ca/ccdss/data-tool/) of the Public Health Agency
of Canada, the cumulative (or lifetime) prevalence of schizophrenia is higher in the 3
provinces with large urban areas (Montreal, Toronto, Vancouver) (prevalence: 1%), than in the
other Canadian provinces (prevalence: 0.5%–0.8%) (https://health-infobase.canada.ca/ccdss/data-tool/).Using an updated Quebec linked health services utilization database and using the case
definition method developed in a previous study on the incidence and prevalence of schizophrenia,
we measured the incidence of schizophrenia in 2016 in Montreal versus the rest of the
province of Quebec of circa 8 million inhabitants, for both males and females. The crude rates
per 100,000 inhabitants with their 95% confidence intervals (CI) and relative risks (RR) were
for males: 682 (665–698) in Montreal versus 409 (402–416) in the rest of Quebec, with a RR of
1.67; for females: 454 (441–467) in Montreal versus 284 (278–290) in the rest of Quebec, with
a RR of 1.60; for both males and females: 566 (556–577) in Montreal versus 347 (342–351) in
the rest of Quebec, with a RR of 1.63. The non-overlapping 95% CI indicates a significant 60%
higher incidence in Montreal, and a statistically significant higher incidence in both males
and females in Montreal compared to the rest of Quebec.These findings have planning implication for equitable, based on needs, specialist services
allocation in very large cities. Schizophrenia patients' volume and rates are an indicator of
needs for costly integrated intensive hospital, residential, crisis, first onset psychosis and
community-based services.
Moreover, males have an earlier and more disabling course, requiring more support from
health and social services. Also, the needs for support (for example housing, case management,
substance co-morbidity issues) are higher in very disadvantaged areas patients, so that
current social indicator weights based on common chronic diseases, do not capture the
exponential needs for community psychiatric services in very disadvantaged areas of large
cities, and overestimate the needs in affluent regions.More collaborative international research is required to develop a valid indicator of
relative needs in large urban areas. For the moment, the relative risk obtained from existing
registers like linked health utilization of services databases shall be encouraged, since they
reflect the real-life numbers of severely mentally ill patients to serve with best practices
treatment and care.