How to increase the value of self-reported health service data by using data linkage: a case study Wenbo Peng W Peng 1 , J Maguire 1 , A Hayen 1 , J Adams 1 , D Sibbritt 1 1 Faculty of Health, University of Technology Sydney, Sydney, Australia Contact: wenbo.peng@uts.edu.au Background: This is a case study for recurrent stroke prevention. Lifestyle factors account for about 80% of the risk of recurrent stroke. Most health services studies examining stroke prevention rely on stroke survivors’ self-reported lifestyle behaviour data. How can researchers increase the value of collected self-reported data to provide additional information for more comprehen- sive assessments? Methods: 45 and Up Study is the largest ongoing study in the Southern Hemisphere focusing on the health of people aged 45 years and older living in NSW, Australia. This case study linked self- reported longitudinal lifestyle data in the 45 and Up Study, with corresponding mortality data (i.e. NSW Registry of Births, Deaths and Marriages & NSW Cause of Death Unit Record File) and hospital data (i.e. NSW Admitted Patient Data Collection) via the Centre for Health Record Linkage (CHeReL). The main outcome measures are health services, clinical outcomes, and mortality rates for stroke care. The analyses will include descriptive analysis, multivariate regres- sion analysis, and survival analysis. Results: A total of 8410 stroke survivors who participated in the 45 and Up Study were included in this data linkage study. From January 2006 to December 2015, 99249 hospital claims (mean: 13 times admission to hospital per person) and 2656 death registration records have been linked to these participants. The mean age of the stroke survivors was 72 (SD = 11) years, with 56% being males. These results are preliminary and more analyses will be conducted by using quality of life status, clinical diagnosis, comorbidities, and procedures. Conclusions: Data linkage enables researchers to generate comprehensive findings on health services studies and gain a more holistic understanding of the determinants and outcomes of stroke prevention with lower data collection costs and less burden on participants. Key messages:  Data linkage brings about a new opportunity for self- reported data on health services utilisation.  It is a cost-effective way to enhance existing self-reported data via the data linkage approach to increase its usefulness for informing health service planning. Costs of loneliness: the association between loneliness and healthcare expenditure Rachelle Meisters R Meisters 1 , D Westra 1 , P Putrik 1,2 , H Bosma 3 , D Ruwaard 1 , M Jansen 1,2 1 Health Services Research, CAPHRI, Maastricht University, Maastricht, Netherlands 2 Academic Collaborative Center for Public Health Limburg, GGD Zuid Limburg, Heerlen, Netherlands 3 Social Medicine, CAPHRI, Maastricht University, Maastricht, Netherlands Contact: r.meisters@maastrichtuniversity.nl Background: Loneliness is a growing issue. It has been associated with a range of unhealthy behaviors, poorer health, and increased morbidity. However, the healthcare costs of loneliness are poorly understood as limited existing research on loneliness focused on older age populations, few expenditure categories, and controlled for just a few potential confounders. Our study aims to fill this evidence gap. Methods: Multiple sources were combined into a dataset containing a nationally representative sample (n = 341,376) of Dutch adults (>18 y.o.). The association between loneliness and total, general practitioner (GP), specialized, pharmaceutical, and mental healthcare expenditure was tested using Poisson and Zero-inflated negative binomial models, controlling for numerous potential confounders (i.e. demographic, socio- economic, lifestyle-related factors, self-perceived health, and psychological distress), for multiple age groups. Excess expenditure attributed to loneliness was extrapolated to the entire population. Results: Controlling for demographic, socioeconomic, and lifestyle- related factors, loneliness was indirectly (via poorer health) associated with higher expenditure in all categories. In fully adjusted models, it showed a direct association with higher expenditure for GP and mental healthcare (0.5% and 11.1%, respectively). The association with mental healthcare expendi- ture was stronger in younger than in older adults (for ages 19- 40, the contribution of loneliness represented 61.8% of the overall association). Conclusions: Loneliness contributes to health expenditure both directly and indirectly, particularly in younger age groups. This implies a strong financial imperative to address this issue. Key messages:  Loneliness is associated with increased healthcare expendi- ture independent of demographic and socioeconomic factors.  Excess healthcare expenditure related to loneliness are particularly apparent in mental healthcare and in younger age groups. Mental health services utilization after Mariana dam burst Marcelo DellAringa MF Dell’Aringa 1 , GE Correˆ a-Oliveira 2 , F Della Corte 1 , L Ragazzoni 1 , ES Miranda 3 , V Murray 4 , F Barone-Adesi 1 1 CRIMEDIM-Research Center in Emergency and Disaster Medicine, Universita` del Piemonte Orientale, Novara, Italy 2 Neuroscience and Behavior Department, Universidade de Sa˜ o Paulo, Ribeira˜ o Preto, Brazil 3 Department of Pharmacy, Universidade Federal Fluminense, Nitero´ i, Brazil 4 Global Disaster Risk Reduction, Public Health England, London, UK Contact: marcelo.dellaringa@uniupo.it Background: The global burden of mental health conditions is increasing, especially in middle- and low-income countries and frequently the quality of mental health services is lower than the quality of services for other conditions. Disasters may increase this burden through their direct impact or due to secondary stressors, such as the preclusion of access to essential services. The aim of this study is to assess the impact of Mariana dam burst (Brazil) in November 2015, in the utilization of public mental health services by the population that experienced an interruption of water supply after the event. Methods: We used data from DATASUS, the database of the Brazilian public health system, analyzing data from 34 months before to 36 months after the event. We defined as affected the population living in the municipalities of Minas Gerais state that had an interruption of water supply after the event and the rest of the state population as the comparison group. We designed an Interrupted time-series analysis to evaluate both immediate and gradual changes in use of mental health services after the accident. Results: The affected population included 381,749 inhabitants and the comparison group 20,487,352 inhabitants. The monthly rate of mental health visits in the affected population in the beginning of the series was 296 (CI 182 to 409, p < 0.001) per 100.000 person-month. Comparing the groups after the event, we observed a non-statistically significant higher increase in the rate of visits immediately after the event of 115.96 (CI -30.00 to v470 European Journal of Public Health, Volume 30 Supplement 5, 2020 Downloaded from https://academic.oup.com/eurpub/article/30/Supplement_5/ckaa165.1281/5914694 by guest on 23 November 2020