Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up
Introduction Multimorbidity, defined as the co-occurrence of two or more long-term medical conditions, is an increasing public health concern worldwide causing enormous burden to individuals, healthcare systems and societies. The most effective way of decreasing the burden caused by multimorbidity i...
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BMJ Publishing Group
2022-06-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/6/e056073.full |
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| author | Annamari Lundqvist Seppo Koskinen Päivikki Koponen Tuija Jääskeläinen Jaana Suvisaari Jutta Järvelin |
| author_facet | Annamari Lundqvist Seppo Koskinen Päivikki Koponen Tuija Jääskeläinen Jaana Suvisaari Jutta Järvelin |
| author_sort | Annamari Lundqvist |
| collection | DOAJ |
| description | Introduction Multimorbidity, defined as the co-occurrence of two or more long-term medical conditions, is an increasing public health concern worldwide causing enormous burden to individuals, healthcare systems and societies. The most effective way of decreasing the burden caused by multimorbidity is to find tools for its successful prevention but gaps in research evidence limit capacities to develop prevention strategies. The aim of the MOLTO study (Multimorbidity - identifying the most burdensome patterns, risk factors and potentials to reduce future burden) is to provide novel evidence required for cost-effective prevention of multimorbidity by defining the multimorbidity patterns causing the greatest burden at the population level, by examining their risk and protective factors and by estimating the potentials to reduce the future burden.Methods and analysis The MOLTO study is based on the data from the Finnish population-based cross-sectional (FINRISK 2002–2012, FinHealth 2017 the Migrant Health and Well-being Study 2010–2012) and longitudinal (Health 2000/2011) health examination surveys with individual-level link to administrative health registers, allowing register-based follow-up for the study participants. Both cross-sectional and longitudinal study designs will be used. Multimorbidity patterns will be defined using latent class analysis. The burden caused by multimorbidity as well as risk and protective factors for multimorbidity will be analysed by survival analysis methods such as Cox proportional hazards and Poisson regression models.Ethics and dissemination The survey data have been collected following the legislation at the time of the survey. The ethics committee of the Hospital District of Helsinki and Uusimaa has approved the data collection and register linkages for each survey. The results will be published as peer-reviewed scientific publications. |
| format | Article |
| id | doaj-art-684c36af609a4140b99d108bcd959976 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-684c36af609a4140b99d108bcd9599762025-01-28T02:40:14ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-056073Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-upAnnamari Lundqvist0Seppo Koskinen1Päivikki Koponen2Tuija Jääskeläinen3Jaana Suvisaari4Jutta Järvelin5Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, FinlandFinnish Institute for Health and Welfare, Helsinki, Uusimaa, FinlandPublic Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, FinlandFinnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland1 Finnish Institute for Health and Welfare, Helsinki, FinlandDepartment of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, FinlandIntroduction Multimorbidity, defined as the co-occurrence of two or more long-term medical conditions, is an increasing public health concern worldwide causing enormous burden to individuals, healthcare systems and societies. The most effective way of decreasing the burden caused by multimorbidity is to find tools for its successful prevention but gaps in research evidence limit capacities to develop prevention strategies. The aim of the MOLTO study (Multimorbidity - identifying the most burdensome patterns, risk factors and potentials to reduce future burden) is to provide novel evidence required for cost-effective prevention of multimorbidity by defining the multimorbidity patterns causing the greatest burden at the population level, by examining their risk and protective factors and by estimating the potentials to reduce the future burden.Methods and analysis The MOLTO study is based on the data from the Finnish population-based cross-sectional (FINRISK 2002–2012, FinHealth 2017 the Migrant Health and Well-being Study 2010–2012) and longitudinal (Health 2000/2011) health examination surveys with individual-level link to administrative health registers, allowing register-based follow-up for the study participants. Both cross-sectional and longitudinal study designs will be used. Multimorbidity patterns will be defined using latent class analysis. The burden caused by multimorbidity as well as risk and protective factors for multimorbidity will be analysed by survival analysis methods such as Cox proportional hazards and Poisson regression models.Ethics and dissemination The survey data have been collected following the legislation at the time of the survey. The ethics committee of the Hospital District of Helsinki and Uusimaa has approved the data collection and register linkages for each survey. The results will be published as peer-reviewed scientific publications.https://bmjopen.bmj.com/content/12/6/e056073.full |
| spellingShingle | Annamari Lundqvist Seppo Koskinen Päivikki Koponen Tuija Jääskeläinen Jaana Suvisaari Jutta Järvelin Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up BMJ Open |
| title | Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up |
| title_full | Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up |
| title_fullStr | Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up |
| title_full_unstemmed | Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up |
| title_short | Study protocol for an epidemiological study ‘Multimorbidity − identifying the most burdensome patterns, risk factors and potentials to reduce future burden (MOLTO)’ based on the Finnish health examination surveys and the ongoing register-based follow-up |
| title_sort | study protocol for an epidemiological study multimorbidity identifying the most burdensome patterns risk factors and potentials to reduce future burden molto based on the finnish health examination surveys and the ongoing register based follow up |
| url | https://bmjopen.bmj.com/content/12/6/e056073.full |
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