Abstract
Considering the importance of the assessment of human function, the present paper reports a research study that aimed to develop an information system to support a comprehensive set of clinical instruments. Following the requirements analysis, the system was implementing according the Model-View-Controller architecture. The system allows the selection of the most appropriate assessment instruments for a given patient the registration of the assessments carried out, as well as the access to consolidated information for correct decision-making, and was evaluated using quantitative and qualitative methods. The quantitative evaluation consisted in a usability assessment using the Post-Study System Usability Questionnaire, while the qualitative evaluation consisted in a focus group to determine the perceived utility of the developed system to support the care of older adults. The results show the potential of the system to support the care of older adults.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abegunde, D.O., Mathers, C.D., Adam, T., Ortegon, M., Strong, K.: The burden and costs of chronic diseases in low-income and middle-income countries. Lancet 370(9603), 1929–1938 (2007)
Chiarini, G., Ray, P., Akter, S., Masella, C., Ganz, A.: mHealth technologies for chronic diseases and elders: a systematic review. IEEE J. Sel. Areas Commun. 31(9), 6–18 (2013)
World Health Organization: World report on ageing and health. World Health Organization (2015)
Santana, S., Dias, A., Souza, E., Rocha, N.: The domiciliary support service in Portugal and the change of paradigm in care provision. Int. J. Integr. Care 7(1), e01 (2007)
Hägglund, M., Scandurra, I., Koch, S.: Studying intersection points–an analysis of information needs for shared homecare of elderly patients. J. Inf. Technol. Healthc. 7(1), 1–20 (2009)
World Health Organization: International classification of functioning, disability and health (ICF). World Health Organization, Geneva (2001)
Coleman, E.A., Boult, C.: Improving the quality of transitional care for persons with complex care needs: position statement of the American Geriatrics Society Health Care Systems Committee. J. Am. Geriatr. Soc. 51(4), 556–557 (2003)
LaMantia, M.A., Scheunemann, L.P., Viera, A.J., Busby-Whitehead, J., Hanson, L.C.: Interventions to improve transitional care between nursing homes and hospitals: a systematic review. J. Am. Geriatr. Soc. 58(4), 777–782 (2010)
Vanneste, D., Vermeulen, B., Declercq, A.: Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis. BMC Med. Inform. Decis. Making 13(1), 129 (2013)
Carpenter, I., Hirdes, J.P.: Using interRAI assessment systems to measure and maintain quality of long-term care. In: A Good Life in Old Age? Monitoring and Improving Quality in Long-Term Care, pp. 93–139. OECD Publishing (2013)
Rigby, M.: Integrating health and social care informatics to enable holistic health care. In: Blobel, B. et al. (eds.) pHealth 2012, pp. 41–51. IGI Global (2012)
Reamer, F.G.: Social work in a digital age: ethical and risk management challenges. Soc. Work 58(2), 163–172 (2013)
Cameron, A., Lart, R., Bostock, L., Coomber, C.: Factors that promote and hinder joint and integrated working between health and social care services: a review of research literature. Health Soc. Care Community 22(3), 225–233 (2014)
Wastell, D., White, S.: Beyond bureaucracy: emerging trends in social care informatics. Health Inform. J. 20(3), 213–219 (2014)
Spitzer, W.J., Davidson, K.W.: Future trends in health and health care: implications for social work practice in an aging society. Soc. Work Health Care 52(10), 959–986 (2013)
Coleman, E.A., Berenson, R.A.: Lost in transition: challenges and opportunities for improving the quality of transitional care. Ann. Intern. Med. 141(7), 533–536 (2004)
Hirdes, J.P., et al.: Reliability of the interRAI suite of assessment instruments: a 12-country study of an integrated health information system. BMC Health Serv. Res. 8(1), 277 (2008)
Sampaio, R.F., Luz, M.T.: Funcionalidade e incapacidade humana: explorando o escopo da classificação internacional da Organização Mundial da Saúde. Cadernos de Saúde Pública 25, 475–483 (2009)
Alvarelhão, J., et al.: Comparing the content of instruments assessing environmental factors using the international classification of functioning, disability and health. J. Rehabil. Med. 44(1), 1–6 (2012)
Silva, A.G., Alvarelhão, J., Queirós, A., Rocha, N.P.: Pain intensity is associated with self-reported disability for several domains of life in a sample of patients with musculoskeletal pain aged 50 or more. Disabil. Health J. 6(4), 369–376 (2013)
Cruz, V.T., et al.: Web-based cognitive training: patient adherence and intensity of treatment in an outpatient memory clinic. J. Med. Internet Res. 16(5), e122 (2014)
Nagi, S.: Some conceptual issues in disability and rehabilitation. In: Sociology and Rehabilitation. American Sociological Association, Washington (1965)
Silva, C., et al.: Adaptation and validation of WHODAS 2.0 in patients with musculoskeletal pain. Revista de saúde publica, 47(4), 752–758 (2013)
Wade, D.T., Collin, C.: The Barthel ADL Index: a standard measure of physical disability? Int. Disabil. Stud. 10(2), 64–67 (1988)
Lawton, M.P., Brody, E.M.: Assessment of older people: self-maintaining and instrumental activities of daily living. Nurs. Res. 19(3), 278 (1970)
Brorsson, B.E.N.G.T., Asberg, K.H.: Katz index of independence in ADL. Reliability and validity in short-term care. Scand. J. Rehabil. Med. 16(3), 125–132 (1984)
Hawes, C., Vladeck, B.C., Morris, J.N., Charles, D.P.: Implementing the resident assessment instrument: case studies of policymaking of long-term care in eight countries. In: Executive Summary. Milbank Memorial Fund, New York (2003)
Marcos-Pablos, S., García-Peñalvo, F.J.: Technological ecosystems in care and assistance: a systematic literature review. Sensors 19(3), 708 (2019)
Mutlag, A.A., Ghani, M.K.A., Arunkumar, N.A., Mohamed, M.A., Mohd, O.: Enabling technologies for fog computing in healthcare IoT systems. Future Gener. Comput. Syst. 90, 62–78 (2019)
Skarlatidou, A., Hamilton, A., Vitos, M., Haklay, M.: What do volunteers want from citizen science technologies? A systematic literature review and best practice guidelines. J. Sci. Commun. 18(1) (2019)
Grossi, G., Lanzarotti, R., Napoletano, P., Noceti, N., Odone, F.: Positive technology for elderly well-being: a review. Pattern Recognition Letters (2019 in press)
Queirós, A., Pereira, L., Dias, A., Rocha, N.P.: Technologies for ageing in place to support home monitoring of patients with chronic diseases. In: van den Broek, E. et al. (eds.) Proceedings of the 10th International Conference on Health Informatics, HealthInf 2017, pp. 66–76. INSTICC (2017)
Dodd, E., Hawting, P., Horton, E., Karunanithi, M., Livingstone, A.: Australian community care experience on the design, development, deployment and evaluation of implementing the smarter safer homes platform. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds.) ICOST 2015. LNCS, vol. 9102, pp. 282–286. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19312-0_23
Saffer, B.Y., Klonsky, E.D.: The relationship of self-reported executive functioning to suicide ideation and attempts: findings from a large US-based online sample. Arch. Suicide Res. 21(4), 577–594 (2017)
Trindade, I.A., Ferreira, C., Pinto-Gouveia, J.: Inflammatory bowel disease symptoms and cognitive fusion’s impact on psychological health: an 18-month prospective study. Eur. Psychiatry 41, S355 (2017)
Bible, L.J., Casper, K.A., Seifert, J.L., Porter, K.A.: Assessment of self-care and medication adherence in individuals with mental health conditions. J. Am. Pharm. Assoc. 57(3), S203–S210 (2017)
Boessen, A.B., Verwey, R., Duymelinck, S., van Rossum, E.: An online platform to support the network of caregivers of people with dementia. J. Aging Res. (2017). Article ID 3076859
Mbwambo, J., et al.: A customized adherence enhancement program combined with long-acting injectable antipsychotic medication (CAE-L) for poorly adherent patients with chronic psychotic disorder in Tanzania: a pilot study methodological report. Heliyon 5(6), e01763 (2019)
Rosa, A., Martins, A., Costa, V., Queiros, A., Silva, A., Rocha, N.: European Portuguese validation of the Post-Study System Usability Questionnaire (PSSUQ). In: 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–5. IEEE (2015)
Lewis, J.: Psychometric evaluation of the PSSUQ using data from five years of usability studies. Int. J. Hum. Comput. Interact. 14, 463–488 (2002)
Wilkinson, S.: Focus group. In: Smith, J. (ed.) Qualitative Psychology: A Practical Guide to Research Methods, pp. 199–221. SAGE Publications (2003)
Caplan, S.: Using focus group methodology for ergonomic design. Ergonomics 33, 527–533 (1990)
Cooper, A.: The Inmates Are Running the Asylum. Pearson Education, Upper Saddle River (2004)
Queirós, A., et al.: ICF inspired personas to improve development for usability and accessibility in ambient assisted living. Proc. Comput. Sci. 27, 409–418 (2014)
Martins, A.I., Queirós, A., Silva, A.G., Rocha, N.P.: Usability evaluation methods: a systematic review. In: Saeed, S. et al. (eds.) Human Factors in Software Development and Design, pp. 250–273. IGI Global (2015)
Martins, A.I., Rosa, A.F., Queirós, A., Silva, A., Rocha, N.P.: Definition and validation of the ICF–usability scale. Proc. Comput. Sci. 67, 132–139 (2015)
Rocha, V.P., Pinto, J.S.: Web platform to support multidimensional assessment of human functioning. In: 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–5. IEEE (2019)
Databases, documents and collections-w3resource. https://www.w3resource.com/mongodb/databases-documents-collections.php. Accessed 02 May 2019
Bhamra, K.: A Comparative Analysis of MongoDB and Cassandra. University of Bergen, Bergen (2017)
Sharding—MongoDB Manual. https://docs.mongodb.com/manual/sharding/. Accessed 02 May 2019
MongoDB Advantages. https://www.tutorialspoint.com/mongodb/mongodb_advantages.htm. Accessed 02 May 2019
Node.js Introduction. https://www.tutorialspoint.com/nodejs/nodejs_introduction.htm. Accessed 02 May 2019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Rocha, V.P., Pinto, J.S., Rocha, N.P. (2020). System to Support Multidimensional Assessment of Human Functioning. In: Antipova, T., Rocha, Á. (eds) Digital Science 2019. DSIC 2019. Advances in Intelligent Systems and Computing, vol 1114. Springer, Cham. https://doi.org/10.1007/978-3-030-37737-3_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-37737-3_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37736-6
Online ISBN: 978-3-030-37737-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)