Feasibility study of a clinical decision support system for the management of multimorbid seniors in primary care: Study protocol

被引:5
作者
Weltermann B. [1 ]
Kersting C. [1 ]
机构
[1] University of Duisburg-Essen, Institute for General Medicine, University Hospital Essen, Hufelandstraße 55, Essen
关键词
Clinical decision support system; Comprehensive health care; Feasibility study; Multimorbidity; Primary health care;
D O I
10.1186/s40814-016-0057-z
中图分类号
学科分类号
摘要
Background: Care for seniors is complex because patients often have more than one disease, one medication, and one physician. It is a key challenge for primary care physicians to structure the various aspects of each patient's care, to integrate each patient's preferences, and to maintain a long-term overview. This article describes the design for the development and feasibility testing of the clinical decision support system (CDSS) eCare*Seniors© which is electronic health record (EHR)-based allowing for a long-term, comprehensive, evidence-based, and patient preference-oriented management of multimorbid seniors. Methods/design: This mixed-methods study is designed in three steps. First, focus groups and practice observations will be conducted to develop criteria for software design from a physicians' and practice assistants' perspective. Second, based on these criteria, a CDSS prototype will be developed. Third, the prototype's feasibility will be tested by five primary care practices in the care of 30 multimorbid seniors. Primary outcome is the usability of the software measured by the validated system usability scale (SUS) after 3months. Secondary outcomes are the (a) willingness to routinely use the CDSS, (b) degree of utilization of the CDSS, (c) acceptance of the CDSS, (d) willingness of the physicians to purchase the CDSS, and (e) willingness of the practice assistants to use the CDSS in the long term. These outcomes will be measured using semi-structured interviews and software usage data. If the SUS score reaches ≥70%, feasibility testing will be judged successful. Otherwise, the CDSS prototype will be refined according to the users' needs and retested by the physicians and practice assistants until it is fully adapted to their requirements and reaches a usability score ≥70%. Discussion: The study will support the development of a CDSS which is primary care-defined, user-friendly, easy-to-comprehend, workflow-oriented, and comprehensive. The software will assist physicians and practices in their long-term, individualized care for multimorbid seniors. © 2016 Weltermann and Kersting.
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  • [1] Marengoni A., Angleman S., Melis R., Mangialasche F., Karp A., Garmen A., Et al., Aging with multimorbidity: a systematic review of the literature, Ageing Res Rev, 10, pp. 430-439, (2011)
  • [2] Reste L., Yves J., Nabbe P., Manceau B., Lygidakis C., Doerr C., Lingner H., Et al., The European General Practice Research Network presents a comprehensive definition of multimorbidity in family medicine and long term care, following a systematic review of relevant literature, J Am Med Dir Assoc, 14, pp. 319-325, (2013)
  • [3] Glaeske G., Schicktanz C., BARMER GEK Arzneimittelreport 2013: Auswertungsergebnisse der BARMER GEK Arzneimitteldaten aus den Jahren 2011 bis 2013, (2013)
  • [4] Schaufler J., Telschow C., Arzneimittelverordnungen nach Alter und Geschlecht, Arzneiverordnungs-Report 2014, pp. 1077-1092, (2014)
  • [5] Sittig D.F., Krall M.A., Dykstra R.H., Russell A., Chin H.L., A survey of factors affecting clinician acceptance of clinical decision support, BMC Med Inform Decis Mak, 6, (2006)
  • [6] Hicks L.S., Sequist T.D., Ayanian J.Z., Shaykevich S., Fairchild D.G., Orav E.J., Bates D.W., Impact of computerized decision support on blood pressure management and control: a randomized controlled trial, J Gen Intern Med, 23, pp. 429-441, (2008)
  • [7] Tamblyn R., Ernst P., Winslade N., Huang A., Grad R., Platt R.W., Et al., Evaluating the impact of an integrated computer-based decision support with person-centered analytics for the management of asthma in primary care: a randomized controlled trial, J Am Med Inform Assoc, 22, pp. 773-783, (2015)
  • [8] O'Connor P.J., Sperl-Hillen J.M., Rush W.A., Johnson P.E., Amundson G.H., Asche S.E., Et al., Impact of electronic health record clinical decision support on diabetes care: a randomized trial, Ann Fam Med, 9, pp. 12-21, (2011)
  • [9] Kilsdonk E., Peute L., Knijnenburg S.L., Jaspers M., Factors known to influence acceptance of clinical decision support systems, Stud Health Technol Inform, 169, pp. 150-154, (2011)
  • [10] Varonen H., Kortteisto T., Kaila M., What may help or hinder the implementation of computerized decision support systems (CDSSs): a focus group study with physicians, Fam Pract, 25, pp. 162-167, (2008)