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      Cost-effectiveness analysis of a multiple health behaviour change intervention in people aged between 45 and 75 years: a cluster randomized controlled trial in primary care (EIRA study)

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          Abstract

          Background

          Multiple health behaviour change (MHBC) interventions that promote healthy lifestyles may be an efficient approach in the prevention or treatment of chronic diseases in primary care. This study aims to evaluate the cost-utility and cost-effectiveness of the health promotion EIRA intervention in terms of MHBC and cardiovascular reduction.

          Methods

          An economic evaluation alongside a 12-month cluster-randomised (1:1) controlled trial conducted between 2017 and 2018 in 25 primary healthcare centres from seven Spanish regions. The study took societal and healthcare provider perspectives. Patients included were between 45 and 75 years old and had any two of these three behaviours: smoking, insufficient physical activity or low adherence to Mediterranean dietary pattern. Intervention duration was 12 months and combined three action levels (individual, group and community). MHBC, defined as a change in at least two health risk behaviours, and cardiovascular risk (expressed in % points) were the outcomes used to calculate incremental cost-effectiveness ratios (ICER). Quality-adjusted life-years (QALYs) were estimated and used to calculate incremental cost-utility ratios (ICUR). Missing data was imputed and bootstrapping with 1000 replications was used to handle uncertainty in the modelling results.

          Results

          The study included 3062 participants. Intervention costs were €295 higher than usual care costs. Five per-cent additional patients in the intervention group did a MHBC compared to usual care patients. Differences in QALYS or cardiovascular risk between-group were close to 0 (− 0.01 and 0.04 respectively). The ICER was €5598 per extra health behaviour change in one patient and €6926 per one-point reduction in cardiovascular risk from a societal perspective. The cost-utility analysis showed that the intervention increased costs and has no effect, in terms of QALYs, compared to usual care from a societal perspective. Cost-utility planes showed high uncertainty surrounding the ICUR. Sensitivity analysis showed results in line with the main analysis.

          Conclusion

          The efficiency of EIRA intervention cannot be fully established and its recommendation should be conditioned by results on medium-long term effects.

          Trial registration

          Clinicaltrials.gov NCT03136211. Registered 02 May 2017 – Retrospectively registered

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12966-021-01144-5.

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          Most cited references43

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          Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1–4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0–8·4) while the total sum of global YLDs increased from 562 million (421–723) to 853 million (642–1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6–9·2) for males and 6·5% (5·4–7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782–3252] per 100 000 in males vs s1400 [1279–1524] per 100 000 in females), transport injuries (3322 [3082–3583] vs 2336 [2154–2535]), and self-harm and interpersonal violence (3265 [2943–3630] vs 5643 [5057–6302]). Interpretation Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Funding Bill & Melinda Gates Foundation.
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            Developing and evaluating complex interventions: the new Medical Research Council guidance

            Evaluating complex interventions is complicated. The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task. Now the council has updated its guidance
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              EuroQol - a new facility for the measurement of health-related quality of life

              (1990)
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                Author and article information

                Contributors
                i.aznar@pssjd.org
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                2 July 2021
                2 July 2021
                2021
                : 18
                : 88
                Affiliations
                [1 ]GRID grid.411160.3, ISNI 0000 0001 0663 8628, Research and development Unit, , Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, ; Dr. Antoni Pujades 42, 08830, Sant Boi de Llobregat, Barcelona, Catalonia Spain
                [2 ]GRID grid.466571.7, ISNI 0000 0004 1756 6246, Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), ; Madrid, Spain
                [3 ]GRID grid.482253.a, ISNI 0000 0004 0450 3932, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), ; Barcelona, Spain
                [4 ]GRID grid.22061.37, ISNI 0000 0000 9127 6969, Gerència Territorial de Barcelona, , Institut Català de la Salut, ; Barcelona, Spain
                [5 ]GRID grid.5319.e, ISNI 0000 0001 2179 7512, Departament d’Infermeria, Facultat d’Infermeria, , Universitat de Girona, ; Girona, Spain
                [6 ]GRID grid.7080.f, Universitat Autònoma de Barcelona, ; Bellaterra, Cerdanyola del Vallès Spain
                [7 ]Primary Care Prevention and Health Promotion Network (redIAPP), Palma de Mallorca, Spain
                [8 ]Primary Care Research Unit, Mallorca, Balearic Public Health Service, Palma de Mallorca, Spain
                [9 ]GRID grid.507085.f, Health Research Institute of the Balearic Islands (IdISBa), ; Palma de Mallorca, Spain
                [10 ]Primary Care Research Unit of Bizkaia, Basque Health Service-Osakidetza, Bilbao, Spain
                [11 ]GRID grid.452310.1, Biocruces Bizkaia Health Research Institute, ; Barakaldo, Bizkaia Spain
                [12 ]Vigo Primary Health Care, Vigo, Spain
                [13 ]I-Saúde Research Group (IISGS), Vigo, Spain
                [14 ]GRID grid.11205.37, ISNI 0000 0001 2152 8769, IIS-Aragón Grupo b21-17R, , Universidad de Zaragoza, ; Zaragoza, Spain
                [15 ]CS Arrabal.Servicio Aragonés de Salud, Zaragoza, Spain
                [16 ]GRID grid.452531.4, Primary Health Care Research Unit of Salamanca (APISAL), Health Service of Castilla y León (SACyL), , Institute of Biomedical Research of Salamanca (IBSAL), ; Salamanca, Spain
                [17 ]GRID grid.449008.1, ISNI 0000 0004 1795 4150, Universidad Loyola Andalucía, ; Sevilla, Spain
                [18 ]Centro de Salud El Palo, Málaga, Spain
                [19 ]GRID grid.10215.37, ISNI 0000 0001 2298 7828, Department of Preventive Medicine, , University of Málaga, ; Málaga, Spain
                [20 ]GRID grid.452525.1, Biomedical Research Institute of Malaga (IBIMA), ; Málaga, Spain
                [21 ]ISV Research Group, Research Unit in Primary Care, Primary Care Services, Girona, Catalan Institute of Health (ICS), Girona, Catalonia Spain
                [22 ]GRID grid.429182.4, Biomedical Research Institute, Girona (IdIBGi), ICS, ; Girona, Catalonia Spain
                Author information
                http://orcid.org/0000-0002-6780-5968
                Article
                1144
                10.1186/s12966-021-01144-5
                8254273
                34215275
                6a90505c-ffb2-45b0-928a-b306fa51a542
                © The Author(s) 2021

                Open AccessThis 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.

                History
                : 27 January 2021
                : 27 May 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004587, Instituto de Salud Carlos III;
                Award ID: FIS PI15-00114
                Award ID: FIS PI15-00519
                Award ID: Miguel Servet; CP19/00029
                Funded by: Departament de Salut de la Generalitat de Catalunya
                Award ID: SLT002/16/00112
                Award ID: PERIS SLT0006/17/68
                Award Recipient :
                Funded by: Pla Estratègic de Recerca i Innovació en Salut (PERIS) del Departament de Salut de la Generalitat de Catalunya
                Award ID: SLT002/16/00190
                Funded by: CIBERESP
                Award ID: CB16/02/00322
                Funded by: redIAPP
                Award ID: RD12/0005/0006
                Award ID: RD12/0005/0008
                Funded by: European Commission ()
                Award ID: ERDF Funds
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nutrition & Dietetics
                economic evaluation,health promotion,primary care,hybrid trial
                Nutrition & Dietetics
                economic evaluation, health promotion, primary care, hybrid trial

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