CC BY 4.0 DEED Attribution 4.0 InternationalLloyd-Sherlock, PeterGiacomin, KarlaSempé, Lucas2023-10-312023-10-312022-02-11Lloyd-Sherlock, P., Giacomin, K. and Sempé, L. (2022) ‘The effects of an innovative integrated care intervention in Brazil on local health service use by dependent older people’, BMC Health Services Research, 22(1), p. 176. Available at: https://doi.org/10.1186/s12913-022-07552-y.1472-6963https://eresearch.qmu.ac.uk/handle/20.500.12289/13511https://doi.org/10.1186/s12913-022-07552-yLucas Sempé - ORCID: 0000-0002-0978-6455 https://orcid.org/0000-0002-0978-6455Background Since 2011, the Brazilian city of Belo Horizonte has been operating an innovative scheme to support care-dependent older people in disadvantaged communities: Programa Maior Cuidado (PMC – Older Person’s Care Program). This paper examines two potential associations between inclusion in PMC on types of outpatient health service utilization by dependent older people. The first is that being in PMC is associated with a higher frequency of outpatient visits for physical rehabilitation. The second is that being in PMC is associated with a higher frequency of planned versus unplanned outpatient visits. Methods We apply a quasi-experimental design to a unique set of health administrative data recording visits to outpatient health services. We focus on comparisons of the universe of visits, transformed to ratios of planned/unplanned visits and rehabilitation/other reasons for visiting the outpatient service. First, we preprocess our sample through different matching techniques such as ‘coarsened exact matching’ (CEM), ‘nearest neighbor’ based on logit scores (NN), ‘optimal pair’ (OP) and ‘optimal full’ (OF) methods. Second, we estimate marginal effects of being in PMC on our outcomes of interest. We use Poisson regressions controlling for individual and community factors and use robust standard errors. Our results are presented as the comparative incidence ratio of PMC on rehabilitation and planned visits. Results We find significant positive incidence rates for belonging to PMC for both outcomes of interest under all matching specifications. Poisson models using CEM shows a higher incidence rate for planned visits in comparison to unplanned visits, 1.3 (95% CI 1.1–1.4), by PMC patients compared to the non-PMC controls, and a higher proportion of visits for rehabilitation, 3.4 (95% CI 1.7–6.8). Similar positive results are found across other matching methods and models. Conclusions Our analysis reveals significant positive associations between older people included in PMC and a matched set of controls for a greater ratio of making outpatient visits that were planned, rather than unplanned. We find similar associations for the proportion of visits made for rehabilitation, as opposed to other reasons. These findings indicate that PMC influences some elements of outpatient health service utilization by dependent older people.176enOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.http://creativecommons.org/licenses/by/4.0/Older PeopleRehabilitationPlanned VisitsHealth Policy in BrazilArticle