Protocol for regional implementation of collaborative self-management services to promote physical activity

Anael Barberan-Garcia, Elena Gimeno-Santos, Isabel Blanco, Isaac Cano, Graciela Martínez-Pallí, Felip Burgos, Felip Miralles, Miquel Coca, Serafín Murillo, María Sanz, Alexander Steblin, Marta Ubré, Jaume Benavent, Josep Vidal, Marta Sitges, Josep Roca, Anael Barberan-Garcia, Elena Gimeno-Santos, Isabel Blanco, Isaac Cano, Graciela Martínez-Pallí, Felip Burgos, Felip Miralles, Miquel Coca, Serafín Murillo, María Sanz, Alexander Steblin, Marta Ubré, Jaume Benavent, Josep Vidal, Marta Sitges, Josep Roca

Abstract

Background: Chronic diseases are generating a major health and societal burden worldwide. Healthy lifestyles, including physical activity (PA), have proven efficacy in the prevention and treatment of many chronic conditions. But, so far, national PA surveillance systems, as well as strategies for promotion of PA, have shown low impact. We hypothesize that personalized modular PA services, aligned with healthcare, addressing the needs of a broad spectrum of individual profiles may show cost-effectiveness and sustainability.

Methods: The current manuscript describes the protocol for regional implementation of collaborative self-management services to promote PA in Catalonia (7.5 M habitants) during the period 2017-2019. The protocols of three implementation studies encompassing a broad spectrum of individual needs are reported. They have a quasi-experimental design. That is, a non-randomized intervention group is compared to a control group (usual care) using propensity score methods wherein age, gender and population-based health risk assessment are main matching variables. The principal innovations of the PA program are: i) Implementation of well-structured modular interventions promoting PA; ii) Information and communication technologies (ICT) to facilitate patient accessibility, support collaborative management of individual care plans and reduce costs; and iii) Assessment strategies based on the Triple Aim approach during and beyond the program deployment.

Discussion: The manuscript reports a precise roadmap for large scale deployment of community-based ICT-supported integrated care services to promote healthy lifestyles with high potential for comparability and transferability to other sites.

Trial registration: This study protocol has been registered at ClinicalTrials.org ( NCT02976064 ). Registered November 24th, 2016.

Keywords: Cardiopulmonary rehabilitation; Chronic disorders; Integrated care; Physical activity; Service adoption; eHealth.

Conflict of interest statement

Ethics approval and consent to participate

The Ethics Committee for Clinical Research of Hospital Clínic de Barcelona approved the study protocol and the informed consent for the subjects (HCB/2016/0883).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Settings of the implementation studies. The figure shows two interoperable domains with technological elements providing support to the services promoting active lifestyles integrated within the action plan of the patient. On the left, Informal Care area with the patient having access to the Personal Health Folder (PHF) wherein she/he can answer questionnaires, perform monitoring through mHealth apps, and have access to a follow-up reports and tailored educational information, as defined in the work plan (center of the figure). On the right, the Formal Care domain wherein the case manager (physiotherapist) and/or general practitioner has access to an adaptive case management system for work plan prescription, follow-up and coaching. The adaptive case management system supports execution of the patient work plan and provides a bridge of interoperability and collaborative tools among the patient (through the PHF), the case manager and the electronic medical record (EMR)
Fig. 2
Fig. 2
Objectives of the implementation studies. The figure displays the four main objectives of the protocol considered as pivotal steps to achieve regional adoption of collaborative self-management services promoting physical activity across health-care tiers. Deployment of three use cases in one of the healthcare sectors of the city of Barcelona will target chronic obstructive pulmonary disease (COPD), cardiovascular disorders (CVD) and type 2 diabetes mellitus (T2DM). A patient-centered approach will be adopted. ICT stands for information and communication technologies
Fig. 3
Fig. 3
Timeline for program development. The three implementation studies (Fig. 2) will be conducted in parallel. The 24-month lifespan of the programs will be divided in two main phases of approximately one-year duration each. The initial co-design Plan-Do-Study-Act (PDSA) cycle will be devoted to co-design and refinement of the service workflows, set-up and assessment of ICT-supporting tools, and identification of key performance indicators. During the second PDSA cycle, the program will be adopted at pilot level in the healthcare sector. This second phase will be used to fine tune the services, assess and refine ICT-supporting tools, as well as to consolidate the long-term evaluation plans. The two PDSA cycles will have a multidisciplinary approach including patients and professionals with different profiles (i.e. physiotherapists, nurses, general practitioners, medical specialists and technologists). AIS-BE stands for Integrated Care Area of Barcelona-Esquerra (540.000 citizens)

References

    1. Kohl HW, 3rd, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, et al. The pandemic of physical inactivity: global action for public health. Lancet. 2012;380(9838):294–305. doi: 10.1016/S0140-6736(12)60898-8.
    1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–229. doi: 10.1016/S0140-6736(12)61031-9.
    1. Watz H, Pitta F, Rochester CL, Garcia-Aymerich J, ZuWallack R, Troosters T, et al. An official European Respiratory Society statement on physical activity in COPD. Eur Resp J. 2014;44(6):1521–1537. doi: 10.1183/09031936.00046814.
    1. Physical Activity Guidelines Advisory Committee report, 2008. To the Secretary of Health and Human Services. Part A: executive summary. Nutr Rev. 2009;67(2):114–20.
    1. Sieverdes JC, Sui X, Lee DC, Church TS, McClain A, Hand GA, et al. Physical activity, cardiorespiratory fitness and the incidence of type 2 diabetes in a prospective study of men. Br J Sports Med. 2010;44(4):238–244. doi: 10.1136/bjsm.2009.062117.
    1. Li S, Zhao JH, Luan J, Ekelund U, Luben RN, Khaw KT, et al. Physical activity attenuates the genetic predisposition to obesity in 20,000 men and women from EPIC-Norfolk prospective population study. PLoS Med. 2010;7(8). 10.1371/journal.pmed.1000332.
    1. Friedenreich CM, Neilson HK, Lynch BM. State of the epidemiological evidence on physical activity and cancer prevention. Eur J Cancer. 2010;46(14):2593–2604. doi: 10.1016/j.ejca.2010.07.028.
    1. Mora S, Cook N, Buring JE, Ridker PM, Lee IM. Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circ. 2007;116(19):2110–2118. doi: 10.1161/CIRCULATIONAHA.107.729939.
    1. Manini TM, Everhart JE, Patel KV, Schoeller DA, Colbert LH, Visser M, et al. Daily activity energy expenditure and mortality among older adults. JAMA. 2006;296(2):171–179. doi: 10.1001/jama.296.2.171.
    1. Rovio S, Kareholt I, Helkala EL, Viitanen M, Winblad B, Tuomilehto J, et al. Leisure-time physical activity at midlife and the risk of dementia and Alzheimer's disease. Lancet Neurol. 2005;4(11):705–11. doi: 10.1016/S1474-4422(05)70198-8.
    1. Heath GW, Parra DC, Sarmiento OL, Andersen LB, Owen N, Goenka S, et al. Evidence-based intervention in physical activity: lessons from around the world. Lancet. 2012;380(9838):272–281. doi: 10.1016/S0140-6736(12)60816-2.
    1. Spruit MA, Singh SJ, Garvey C, ZuWallack R, Nici L, Rochester C, et al. An official American Thoracic Society/European Respiratory Society statement: key concepts and advances in pulmonary rehabilitation. Am J Respir Crit Care Med. 2013;188(8):e13–e64. doi: 10.1164/rccm.201309-1634ST.
    1. Ventura-Clapier R, Mettauer B, Bigard X. Beneficial effects of endurance training on cardiac and skeletal muscle energy metabolism in heart failure. Cardiovasc Res. 2007;73(1):10–18. doi: 10.1016/j.cardiores.2006.09.003.
    1. Strasser B, Pesta D. Resistance training for diabetes prevention and therapy: experimental findings and molecular mechanisms. Biomed Res Int. 2013;2013:805217. doi: 10.1155/2013/805217.
    1. Pleguezuelos E, Perez ME, Guirao L, Samitier B, Ortega P, Vila X, et al. Improving physical activity in patients with COPD with urban walking circuits. Respir Med. 2013;107(12):1948–1956. doi: 10.1016/j.rmed.2013.07.008.
    1. Heppner PS, Morgan C, Kaplan RM, Ries AL. Regular walking and long-term maintenance of outcomes after pulmonary rehabilitation. J Cardiopul Rehabil. 2006;26(1):44–53. doi: 10.1097/00008483-200601000-00010.
    1. Donesky-Cuenco D, Janson S, Neuhaus J, Neilands TB, Carrieri-Kohlman V. Adherence to a home-walking prescription in patients with chronic obstructive pulmonary disease. Heart Lung. 2007;36(5):348–363. doi: 10.1016/j.hrtlng.2006.11.004.
    1. Moy ML, Weston NA, Wilson EJ, Hess ML, Richardson CR. A pilot study of an internet walking program and pedometer in COPD. Respir Med. 2012;106(9):1342–1350. doi: 10.1016/j.rmed.2012.06.013.
    1. Demeyer H, Louvaris Z, Frei A, Rabinovich RA, de Jong C, Gimeno-Santos E, Loeckx M, Buttery SC, Rubio N, Van der Molen T, Hopkinson NS, Vogiatzis I, Puhan MA, Garcia-Aymerich J, Polkey MI, Troosters T, Mr Papp PROactive study group and the PROactive consortium. Physical activity is increased by a 12-week semiautomated telecoaching programme in patients with COPD: a multicentre randomised controlled trial. Thorax. 2017; [Epub ahead of print].
    1. Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016;18(5):e97. doi: 10.2196/jmir.4883.
    1. Barberan-Garcia A, Vogiatzis I, Solberg HS, Vilaro J, Rodriguez DA, Garasen HM, et al. Effects and barriers to deployment of telehealth wellness programs for chronic patients across 3 European countries. Respir Med. 2014;108(4):628–637. doi: 10.1016/j.rmed.2013.12.006.
    1. Department of Health, C. Catalonia Health Plan for 2016–2020 (in Catalan). (2016). Available at: .
    1. Cano I, Lluch-Ariet M, Gomez-Cabrero D, Maier D, Kalko S, Cascante M, Tegnér J, et al. Biomedical Research in a Digital Health Framework. BMC J Transl Med. 2014;12(Suppl 2):S10. doi: 10.1186/1479-5876-12-S2-S10.
    1. Regional health interoperability program in Catalonia (iS3). and .
    1. Marimon-Sunol S, Rovira-Barberà M, Acedo-Anta M, Nozal-Baldasjos MA, Guanyabens-Calvet J. Shared electronic health record in Catalonia. Med Clin (Barc) 2010;134(Suppl 1):45–48. doi: 10.1016/S0025-7753(10)70009-9.
    1. Cano I, Alonso A, Hernandez C, Burgos F, Barberan-Garcia A, Roldan J, Roca J. An adaptive case management system to support integrated care services: lessons learned from the NEXES project. J Biomed Inform. 2015;55:11–22. doi: 10.1016/j.jbi.2015.02.011.
    1. Kindig D, Stoddart G. What is population health? Am J Public Health. 2003;93:380–383. doi: 10.2105/AJPH.93.3.380.
    1. Dueñas-Espín I, Vela E, Paus S, et al. Proposals for enhanced health risk assessment and stratification in an integrated care scenario. BMJ Open. 2016;6(4):e010301. doi: 10.1136/bmjopen-2015-010301.
    1. Berwick DM, Nolan TW, Whittington J. The triple aim: care, health, and cost. Health Aff. 2008;27:759–769. doi: 10.1377/hlthaff.27.3.759.
    1. Whittington JW, Nolan K, Lewis N, Torres T. Pursuing the triple aim: the first 7 years. Milbank Q. 2015;93:263–300. doi: 10.1111/1468-0009.12122.
    1. Barberan-Garcia A, Ubré M, Roca J, Lacy AM, Burgos F, Risco R, et al. Personalised prehabilitation in high-risk patients undergoing elective major abdominal surgery: a randomized double-blind controlled trial. Ann Surg. 2017; 10.1097/SLA.0000000000002293.
    1. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46:399–424. doi: 10.1080/00273171.2011.568786.
    1. SELFIE. Sustainable intEgrated care modeLs for multi-morbidity: delivery, FInancing and performancE. Project no 634288 Available at: .
    1. Taylor MJ, McNicholas C, Nicolay C, Darzi A, Bell D, et al. Systematic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Qual Saf. 2014;23:290–298. doi: 10.1136/bmjqs-2013-001862.
    1. 2016 Relative value guide book: A guide for anesthesia values. Washington D.C: American Society of Anesthesiologists; 2015.
    1. Malnutrition Advisory Group, a Standing Committee of BAPEN. Malnutrition Universal Screening Tool. May 2003 (review August 2011). Available at: . Accessed 16 Nov 2016.
    1. Generalitat de Catalunya. Cat@Salut La Meva Salut. Canal personal de salut. at .
    1. Kidholm K, Ekeland AG, Jensen LK, Rasmussen J, Pedersen CD, Bowes A, et al. A model for Assessment of telemedicine applications: Mast. Int J Technol Assess. 2012;28(1):44–51. doi: 10.1017/S0266462311000638.

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