{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T22:59:41Z","timestamp":1773874781868,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100019418","name":"NIHR Maudsley BRC","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100019418","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Maudsley Charity and the National Institute for Health Research (NIHR) Applied Research Collaboration South London"},{"DOI":"10.13039\/100012176","name":"Maudsley Charity","doi-asserted-by":"publisher","award":["Project 1517"],"award-info":[{"award-number":["Project 1517"]}],"id":[{"id":"10.13039\/100012176","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Improvements to the primary prevention of physical health illnesses like diabetes in the general population have not been mirrored to the same extent in people with serious mental illness (SMI). This work evaluates the technical feasibility of implementing an electronic clinical decision support system (eCDSS) for supporting the management of dysglycaemia and diabetes in patients with serious mental illness in a secondary mental healthcare setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A stepwise approach was taken as an overarching and guiding framework for this work. Participatory methods were employed to design and deploy a monitoring and alerting eCDSS. The eCDSS was evaluated for its technical\u00a0feasibility. The initial part of the feasibility evaluation was conducted in an outpatient community mental health team. Thereafter, the evaluation of the eCDSS progressed to a more in-depth in silico validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A digital health intervention that enables monitoring and alerting of at-risk patients based on an approved diabetes management guideline was developed. The eCDSS generated alerts according to expected standards and in line with clinical guideline recommendations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>It is feasible to design and deploy a functional monitoring and alerting eCDSS in secondary mental healthcare. Further work is required in order to fully evaluate the integration of the eCDSS into routine clinical workflows. By describing and sharing the steps that were and will be taken from concept to clinical testing, useful insights could be provided to teams that are interested in building similar digital health interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12911-022-01842-5","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T05:03:19Z","timestamp":1649912599000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack"],"prefix":"10.1186","volume":"22","author":[{"given":"Dipen","family":"Patel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yamiko J","family":"Msosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar G","family":"Mustafa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siobhan","family":"Gee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julie","family":"Williams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angus","family":"Roberts","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard JB","family":"Dobson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fiona","family":"Gaughran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"issue":"5","key":"1842_CR1","doi-asserted-by":"publisher","first-page":"19590","DOI":"10.1371\/journal.pone.0019590","volume":"6","author":"C-K Chang","year":"2011","unstructured":"Chang C-K, Hayes RD, Perera G, Broadbent MT, Fernandes AC, Lee WE, Hotopf M, Stewart R. Life expectancy at birth for people with serious mental illness and other major disorders from a secondary mental health care case register in London. PLoS ONE. 2011;6(5):19590.","journal-title":"PLoS ONE"},{"issue":"3","key":"1842_CR2","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1002\/wps.20252","volume":"14","author":"D Vancampfort","year":"2015","unstructured":"Vancampfort D, Stubbs B, Mitchell AJ, De Hert M, Wampers M, Ward PB, Rosenbaum S, Correll CU. Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry. 2015;14(3):339\u201347.","journal-title":"World Psychiatry"},{"issue":"3","key":"1842_CR3","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1192\/bjp.bp.117.202606","volume":"211","author":"JF Hayes","year":"2017","unstructured":"Hayes JF, Marston L, Walters K, King MB, Osborn DP. Mortality gap for people with bipolar disorder and schizophrenia: UK-based cohort study 2000\u20132014. Brit J Psychiatry. 2017;211(3):175\u201381.","journal-title":"Brit J Psychiatry"},{"key":"1842_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/B978-0-444-53480-4.00015-1","volume":"126","author":"U Alam","year":"2014","unstructured":"Alam U, Asghar O, Azmi S, Malik RA. General aspects of diabetes mellitus. Handb Clin Neurol. 2014;126:211\u201322.","journal-title":"Handb Clin Neurol"},{"issue":"1","key":"1842_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/nrdp.2015.19","volume":"1","author":"RA DeFronzo","year":"2015","unstructured":"DeFronzo RA, Ferrannini E, Groop L, Henry RR, Herman WH, Holst JJ, Hu FB, Kahn CR, Raz I, Shulman GI, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. 2015;1(1):1\u201322.","journal-title":"Nat Rev Dis Primers"},{"issue":"4","key":"1842_CR6","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1016\/j.immuni.2010.04.001","volume":"32","author":"JA Todd","year":"2010","unstructured":"Todd JA. Etiology of type 1 diabetes. Immunity. 2010;32(4):457\u201367.","journal-title":"Immunity"},{"issue":"9911","key":"1842_CR7","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/S0140-6736(13)60591-7","volume":"383","author":"MA Atkinson","year":"2014","unstructured":"Atkinson MA, Eisenbarth GS, Michels AW. Type 1 diabetes. The Lancet. 2014;383(9911):69\u201382.","journal-title":"The Lancet"},{"issue":"suppl 1","key":"1842_CR8","doi-asserted-by":"publisher","first-page":"88","DOI":"10.2337\/diacare.27.2007.S88","volume":"27","author":"AD Association","year":"2004","unstructured":"Association AD, et al. Gestational diabetes mellitus. Diabet Care. 2004;27(suppl 1):88\u201390.","journal-title":"Diabet Care"},{"issue":"23","key":"1842_CR9","doi-asserted-by":"publisher","first-page":"1676","DOI":"10.1056\/NEJM199306103282306","volume":"328","author":"DM Nathan","year":"1993","unstructured":"Nathan DM. Long-term complications of diabetes mellitus. N Engl J Med. 1993;328(23):1676\u201385.","journal-title":"N Engl J Med"},{"issue":"7","key":"1842_CR10","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1111\/j.1464-5491.2012.03698.x","volume":"29","author":"N Hex","year":"2012","unstructured":"Hex N, Bartlett C, Wright D, Taylor M, Varley D. Estimating the current and future costs of type 1 and type 2 diabetes in the UK, including direct health costs and indirect societal and productivity costs. Diabet Med. 2012;29(7):855\u201362.","journal-title":"Diabet Med"},{"issue":"12","key":"1842_CR11","doi-asserted-by":"publisher","first-page":"2619","DOI":"10.1017\/S0033291715000562","volume":"45","author":"P Gardner-Sood","year":"2015","unstructured":"Gardner-Sood P, Lally J, Smith S, Atakan Z, Ismail K, Greenwood K, Keen A, O\u2019brien C, Onagbesan O, Fung C, et al. Cardiovascular risk factors and metabolic syndrome in people with established psychotic illnesses: baseline data from the impact randomized controlled trial. Psychol Med. 2015;45(12):2619\u201329.","journal-title":"Psychol Med."},{"key":"1842_CR12","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.genhosppsych.2017.01.003","volume":"45","author":"E Roberts","year":"2017","unstructured":"Roberts E, Jones L, Blackman A, Dewhurst T, Matcham F, Kan C, Mustafa O, Thomas T, Siddiqi N, Ismail K, et al. The prevalence of diabetes mellitus and abnormal glucose metabolism in the inpatient psychiatric setting: a systematic review and meta-analysis. Gener Hosp Psychiatry. 2017;45:76\u201384.","journal-title":"Gener Hosp Psychiatry"},{"issue":"6","key":"1842_CR13","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1192\/bjp.2019.159","volume":"215","author":"F Gaughran","year":"2019","unstructured":"Gaughran F, Stahl D, Stringer D, Hopkins D, Atakan Z, Greenwood K, Patel A, Smith S, Gardner-Sood P, Lally J, et al. Effect of lifestyle, medication and ethnicity on cardiometabolic risk in the year following the first episode of psychosis: prospective cohort study. Brit J Psychiatry. 2019;215(6):712\u20139.","journal-title":"Brit J Psychiatry"},{"key":"1842_CR14","first-page":"1","volume":"66","author":"JKN Chan","year":"2021","unstructured":"Chan JKN, Wong CSM, Or PCF, Chen EYH, Chang WC. Risk of mortality and complications in patients with schizophrenia and diabetes mellitus: population-based cohort study. Brit J Psychiatry. 2021;66:1\u20138.","journal-title":"Brit J Psychiatry"},{"key":"1842_CR15","unstructured":"National Institute of Health and Care Excellence (NICE). Bipolar disorder: assessment and management (clinical guideline, cg 185); 2014."},{"issue":"5","key":"1842_CR16","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1192\/bjp.bp.114.155945","volume":"206","author":"M Taylor","year":"2015","unstructured":"Taylor M, Perera U. Nice cg178 psychosis and schizophrenia in adults: treatment and management-an evidence-based guideline? Brit J Psychiatry. 2015;206(5):357\u20139.","journal-title":"Brit J Psychiatry"},{"key":"1842_CR17","doi-asserted-by":"crossref","unstructured":"Price H, Ismail K, for Inpatient Care, J.B.D.S.J., Allan B, Castro E, Dashora U, Dhatariya K, Flanagan D, George S, Gregory R, et al. Royal college of psychiatrists liaison faculty & joint British diabetes societies (jbds): guidelines for the management of diabetes in adults and children with psychiatric disorders in inpatient settings. Diabet Med. 2018;35(8):997\u20131004.","DOI":"10.1111\/dme.13673"},{"key":"1842_CR18","unstructured":"Royal College of Psychiatrists. Report of the second round of the National audit of Schizophrenia (NAS) 2014. Healthcare Quality Improvement Partnership London; 2014."},{"issue":"6","key":"1842_CR19","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1192\/bjp.bp.113.142521","volume":"205","author":"MJ Crawford","year":"2014","unstructured":"Crawford MJ, Jayakumar S, Lemmey SJ, Zalewska K, Patel MX, Cooper SJ, Shiers D. Assessment and treatment of physical health problems among people with schizophrenia: national cross-sectional study. Brit J Psychiatry. 2014;205(6):473\u20137.","journal-title":"Brit J Psychiatry"},{"issue":"3","key":"1842_CR20","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1111\/dme.12838","volume":"33","author":"C Kan","year":"2016","unstructured":"Kan C, Kaar S, Eisa M, Jones L, Beckett J, Mustafa O, Ismail K. Diabetes management in psychiatric inpatients: time to change? Diabet Med. 2016;33(3):407\u20138.","journal-title":"Diabet Med"},{"issue":"9391","key":"1842_CR21","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.1016\/S0140-6736(03)14546-1","volume":"362","author":"R Grol","year":"2003","unstructured":"Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients\u2019 care. The Lancet. 2003;362(9391):1225\u201330.","journal-title":"The Lancet"},{"issue":"14","key":"1842_CR22","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1503\/cmaj.151102","volume":"188","author":"S Gupta","year":"2016","unstructured":"Gupta S, Rai N, Bhattacharrya O, Cheng AY, Connelly KA, Boulet L-P, Kaplan A, Brouwers MC, Kastner M. Optimizing the language and format of guidelines to improve guideline uptake. CMAJ. 2016;188(14):362\u20138.","journal-title":"CMAJ"},{"issue":"2","key":"1842_CR23","doi-asserted-by":"publisher","first-page":"271","DOI":"10.3122\/jabfm.2020.02.190146","volume":"33","author":"V Jiang","year":"2020","unstructured":"Jiang V, Brooks EM, Tong ST, Heintzman J, Krist AH. Factors influencing uptake of changes to clinical preventive guidelines. J Am Board Fam Med. 2020;33(2):271\u20138.","journal-title":"J Am Board Fam Med"},{"issue":"4","key":"1842_CR24","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.jhin.2016.03.011","volume":"93","author":"J Broom","year":"2016","unstructured":"Broom J, Broom A, Plage S, Adams K, Post J. Barriers to uptake of antimicrobial advice in a UK hospital: a qualitative study. J Hosp Infect. 2016;93(4):418\u201322.","journal-title":"J Hosp Infect"},{"issue":"7","key":"1842_CR25","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1515\/cclm-2015-0871","volume":"54","author":"JH Barth","year":"2016","unstructured":"Barth JH, Misra S, Aakre KM, Langlois MR, Watine J, Twomey PJ, Oosterhuis WP. Why are clinical practice guidelines not followed? Clin Chem Lab Med. 2016;54(7):1133\u20139.","journal-title":"Clin Chem Lab Med"},{"issue":"C","key":"1842_CR26","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.procs.2016.09.149","volume":"100","author":"GE Iyawa","year":"2016","unstructured":"Iyawa GE, Herselman M, Botha A. Digital health innovation ecosystems: from systematic literature review to conceptual framework. Procedia Comput Sci. 2016;100(C):244\u201352.","journal-title":"Procedia Comput Sci"},{"issue":"7494","key":"1842_CR27","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1136\/bmj.38398.500764.8F","volume":"330","author":"K Kawamoto","year":"2005","unstructured":"Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.","journal-title":"BMJ"},{"key":"1842_CR28","first-page":"153","volume":"66","author":"A Wasylewicz","year":"2019","unstructured":"Wasylewicz A, Scheepers-Hoeks A. Clinical decision support systems. Fundam Clin Data Sci. 2019;66:153\u201369.","journal-title":"Fundam Clin Data Sci"},{"issue":"1","key":"1842_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13336-015-0019-3","volume":"5","author":"C Castaneda","year":"2015","unstructured":"Castaneda C, Nalley K, Mannion C, Bhattacharyya P, Blake P, Pecora A, Goy A, Suh KS. Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. J Clin Bioinform. 2015;5(1):1\u201316.","journal-title":"J Clin Bioinform"},{"issue":"3","key":"1842_CR30","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1136\/amiajnl-2011-000113","volume":"18","author":"A Wright","year":"2011","unstructured":"Wright A, Sittig DF, Ash JS, Feblowitz J, Meltzer S, McMullen C, Guappone K, Carpenter J, Richardson J, Simonaitis L, et al. Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems. J Am Med Inform Assoc. 2011;18(3):232\u201342.","journal-title":"J Am Med Inform Assoc"},{"key":"1842_CR31","first-page":"14073","volume":"144","author":"PE Beeler","year":"2014","unstructured":"Beeler PE, Bates DW, Hug BL. Clinical decision support systems. Swiss Med Wkly. 2014;144:14073.","journal-title":"Swiss Med Wkly"},{"key":"1842_CR32","unstructured":"Osheroff JA, Teich JM, Levick D, Saldana L, Velasco FT, Sittig DF, Rogers KM, Jenders RA. Improving outcomes with clinical decision support: an implementer\u015b guide; 2012."},{"issue":"1","key":"1842_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40814-018-0389-y","volume":"5","author":"A O\u0106athain","year":"2019","unstructured":"O\u0106athain A, Croot L, Sworn K, Duncan E, Rousseau N, Turner K, Yardley L, Hoddinott P. Taxonomy of approaches to developing interventions to improve health: a systematic methods overview. Pilot Feasibil Stud. 2019;5(1):1\u201327.","journal-title":"Pilot Feasibil Stud."},{"key":"1842_CR34","doi-asserted-by":"crossref","unstructured":"Simonsen J, Robertson T. Routledge international handbook of participatory design; 2012.","DOI":"10.4324\/9780203108543"},{"issue":"1","key":"1842_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12911-018-0623-9","volume":"18","author":"R Jackson","year":"2018","unstructured":"Jackson R, Kartoglu I, Stringer C, Gorrell G, Roberts A, Song X, Wu H, Agrawal A, Lui K, Groza T, et al. Cogstack-experiences of deploying integrated information retrieval and extraction services in a large national health service foundation trust hospital. BMC Med Inform Decis Mak. 2018;18(1):1\u201313.","journal-title":"BMC Med Inform Decis Mak"},{"key":"1842_CR36","first-page":"353","volume":"66","author":"H McGuire","year":"2016","unstructured":"McGuire H, Longson D, Adler A, Farmer A, Lewin I. Management of type 2 diabetes in adults: summary of updated nice guidance. BMJ. 2016;66:353.","journal-title":"BMJ"},{"key":"1842_CR37","first-page":"93","volume":"66","author":"DM Taylor","year":"2020","unstructured":"Taylor DM, Gaughran F, Pillinger T. The Maudsley practice guidelines for physical health conditions in psychiatry. BMC. 2020;66:93\u2013102.","journal-title":"BMC"},{"issue":"6","key":"1842_CR38","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1197\/jamia.M1370","volume":"10","author":"DW Bates","year":"2003","unstructured":"Bates DW, Kuperman GJ, Wang S, Gandhi T, Kittler A, Volk L, Spurr C, Khorasani R, Tanasijevic M, Middleton B. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003;10(6):523\u201330.","journal-title":"J Am Med Inform Assoc"},{"key":"1842_CR39","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.ijmedinf.2016.12.001","volume":"98","author":"E Kilsdonk","year":"2017","unstructured":"Kilsdonk E, Peute L, Jaspers MW. Factors influencing implementation success of guideline-based clinical decision support systems: a systematic review and gaps analysis. Int J Med Inform. 2017;98:56\u201364.","journal-title":"Int J Med Inform"},{"issue":"1","key":"1842_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.38032\/jea.2020.01.001","volume":"1","author":"M Mirzaei","year":"2020","unstructured":"Mirzaei M. Science and engineering in silico. Adv J Sci Eng. 2020;1(1):1\u20132.","journal-title":"Adv J Sci Eng"},{"key":"1842_CR41","unstructured":"Atkins DE, Droegemeier KK, Feldman SI, Garcia-Molina H, Klein ML, Messerschmitt DG, Messina P, Ostriker JP, Wright MH. Revolutionizing science and engineering through cyberinfrastructure. Report of the National Science Foundation blue-ribbon advisory panel on cyberinfrastructure. 2003;1."},{"key":"1842_CR42","unstructured":"Department of Health and Social Care: Code of Conduct for Data-driven Health and Care Technology; 2018. https:\/\/www.gov.uk\/government\/publications\/code-of-conduct-for-data-driven-health-and-care-technology. Accessed 10 Aug 2021."},{"issue":"6","key":"1842_CR43","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.ijmedinf.2007.08.011","volume":"77","author":"MM Yusof","year":"2008","unstructured":"Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK. An evaluation framework for health information systems: human, organization and technology-fit factors (hot-fit). Int J Med Inform. 2008;77(6):386\u201398.","journal-title":"Int J Med Inform"},{"issue":"10","key":"1842_CR44","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1002\/pds.1800","volume":"18","author":"H van der Sijs","year":"2009","unstructured":"van der Sijs H, Mulder A, van Gelder T, Aarts J, Berg M, Vulto A. Drug safety alert generation and overriding in a large Dutch University Medical Centre. Pharmacoepidemiol Drug Saf. 2009;18(10):941\u20137.","journal-title":"Pharmacoepidemiol Drug Saf"},{"key":"1842_CR45","doi-asserted-by":"crossref","unstructured":"Msosa YJ, Keet CM, Densmore M. Characterisation of clinical practice guideline changes. In: Proceedings of the international joint conference on biomedical engineering systems and technologies; 2016. pp. 248\u2013255.","DOI":"10.5220\/0005664302480255"},{"issue":"1","key":"1842_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1748-5908-4-50","volume":"4","author":"LJ Damschroder","year":"2009","unstructured":"Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):1\u201315.","journal-title":"Implement Sci"},{"issue":"11","key":"1842_CR47","doi-asserted-by":"publisher","first-page":"367","DOI":"10.2196\/jmir.8775","volume":"19","author":"T Greenhalgh","year":"2017","unstructured":"Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Hughes G, Hinder S, Fahy N, Procter R, Shaw S, et al. Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res. 2017;19(11):367.","journal-title":"J Med Internet Res"},{"issue":"1","key":"1842_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13012-017-0699-0","volume":"13","author":"S Van de Velde","year":"2018","unstructured":"Van de Velde S, Kunnamo I, Roshanov P, Kortteisto T, Aertgeerts B, Vandvik PO, Flottorp S. The guides checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support. Implement Sci. 2018;13(1):1\u201312.","journal-title":"Implement Sci"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-022-01842-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12911-022-01842-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-022-01842-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T15:21:44Z","timestamp":1650036104000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-022-01842-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,14]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["1842"],"URL":"https:\/\/doi.org\/10.1186\/s12911-022-01842-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-1047453\/v1","asserted-by":"object"}]},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,14]]},"assertion":[{"value":"3 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was reviewed and approved by the NHS Health Research Authority (HRA) and Health and Care Research Wales (HCRW) with IRAS reference 285509. The need for consent was waived by the HRA and HCRW. All methods were performed in accordance with the relevant guidelines and regulations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"100"}}