Abstract
Research studies have shown that access to health information and decision support can enable patients to be more active participants in the treatment process, leading to better medical outcomes. Decision support may take the form of health risk appraisals, understanding symptoms and when to see a doctor, as well as support for treatment choices and health management in the home. Many systems are designed to improve shared decision making, blending the expertise of clinicians in areas of diagnosis and prognosis with patients’ knowledge of their preferences and values on potential health outcomes. Technologies designed to provide clarity and improved access to decision support tools for patients have the potential to improve the quality of health care decisions and health outcomes more generally.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Eysenbach G. Consumer health informatics. BMJ. 2000;320(7251):1713–6.
Brody DS, Miller SM, Lerman CE, Smith DG, Caputo GC. Patient perception of involvement in medical care: relationship to illness attitudes and outcomes. J Gen Intern Med. 1989;4(6):506–11.
Greenfield S, Kaplan S, Ware Jr JE. Expanding patient involvement in care. Effects on patient outcomes. Ann Intern Med. 1985;102(4):520–8.
Korsch BM. What do patients and parents want to know? What do they need to know? Pediatrics. 1984;74(5 Pt 2):917–9.
Mahler HI, Kulik JA. Preferences for health care involvement, perceived control and surgical recovery: a prospective study. Soc Sci Med. 1990;31(7):743–51.
Ende J, Kazis L, Ash A, Moskowitz MA. Measuring patients’ desire for autonomy: decision making and information-seeking preferences among medical patients. J Gen Intern Med. 1989;4(1):23–30.
Waitzkin H. Doctor-patient communication. Clinical implications of social scientific research. JAMA. 1984;252(17):2441–6.
Fox S, Duggan M. Health online 2013. In: Pew Research Center’s Internet & American Life Project. 2013. Pew Research Center.
Cordasco KM. Obtaining informed consent from patients: brief update review, in making health care safer II: an updated critical analysis of the evidence for patient safety practices. Rockville: Agency for Healthcare Research and Quality (US); 2013.
Jimison HB, Sher PP, Appleyard R, LeVernois Y. The use of multimedia in the informed consent process. J Am Med Inform Assoc. 1998;5(3):245–56.
Murray E. Web-based interventions for behavior change and self-management: potential, pitfalls, and progress. Medicine 20. 2012;1(2):e3.
Gustafson DH. The use and impact of a computer-based support system for people living with AIDS and HIV infection. Proc Annu Symp Comput Appl Med Care. 1994;604–8.
Jimison HB, Henrion M. Hierarchical preference models for patients with chronic disease. Med Decis Making. 1992;7:351.
Goldstein MK, Clarke AE, Michelson D, Garber AM, Bergen MR, Lenert LA. Developing and testing a multimedia presentation of a health-state description. Med Decis Making. 1994;14(4):336–44.
Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010;51(3–4):214–21.
Peterson C, Stunkard AJ. Personal control and health promotion. Soc Sci Med. 1989;28(8):819–28.
Cassileth BR, Zupkis RV, Sutton-Smith K, March V. Information and participation preferences among cancer patients. Ann Intern Med. 1980;92(6):832–6.
Israel BA, Sherman SJ. Social support, control and the stress process. In: Glanz K, Lewis FM, Rimer BK, editors. Health behavior and health education: theory, research and practice. San Francisco: Jossey-Bass; 1990.
Mullen PD, Laville EA, Biddle AK, Lorig KR. Efficacy of psychoeducational interventions on pain, depression, and disability in people with arthritis: a meta-analysis. J Rheumatol Suppl. 1987;14 Suppl 15:33–9.
Maibach E, Flora J, Nass C. Changes in self-efficacy and health behavior in response to a minimal contact community health campaign. Health Commun. 1991;3:1–15.
Lorig K, Chastain RL, Ung E, Shoor S, Holman HR. Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheum. 1989;32(1):37–44.
Holman H, Lorig K. Patient education in the rheumatic diseases – pros and cons. Bull Rheum Dis. 1987;37(5):1–8.
Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.
O’Leary A, Shoor S, Lorig K, Holman HR. A cognitive-behavioral treatment for rheumatoid arthritis. Health Psychol. 1988;7(6):527–44.
Feste C, Anderson RM. Empowerment: from philosophy to practice. Patient Educ Couns. 1995;26(1–3):139–44.
Anderson RM, Funnell MM, Butler PM, Arnold MS, Fitzgerald JT, Feste CC. Patient empowerment. Results of a randomized controlled trial. Diabetes Care. 1995;18(7):943–9.
Allen JK, Becker DM, Swank RT. Factors related to functional status after coronary artery bypass surgery. Heart Lung. 1990;19(4):337–43.
Cunningham AJ, Lockwood GA, Cunningham JA. A relationship between perceived self-efficacy and quality of life in cancer patients. Patient Educ Couns. 1991;17(1):71–8.
O’Leary A. Self-efficacy and health. Behav Res Ther. 1985;23(4):437–51.
Gustafson DH, Bosworth K, Hawkins RP, Boberg EW, Bricker E. CHESS: a computer-based system for providing information, referrals, decision support and social support to people facing medical and other health-related crises. Proc Annu Symp Comput Appl Med Care. 1992;161–5.
Pingree S, Hawkins RP, Gustafson DH, Boberg EW, Bricker E, Wise M, Tillotson T. Will HIV-positive people use an interactive computer system for information and support? A study of CHESS in two communities. Proc Annu Symp Comput Appl Med Care. 1993;22–6.
Mo PKH, Coulson NS. Empowering processes in online support groups among people living with HIV/AIDS: a comparative analysis of ‘lurkers’ and ‘posters’. Comput Hum Behav. 2010;26(5):1183–93.
van Uden-Kraan CF, Drossaert CHC, Taal E, Shaw BR, Seydel ER, van de Laar MAFJ. Empowering processes and outcomes of participation in online support groups for patients with breast cancer, arthritis, or fibromyalgia. Qual Health Res. 2008;18(3):405–17.
van Uden-Kraan CF, Drossaert CH, Taal E, Seydel ER, van de Laar MA. Participation in online patient support groups endorses patients’ empowerment. Patient Educ Couns. 2009;74(1):61–9. doi:10.1016/j.pec.2008.07.044.
Lenert LA, Sturley A, Watson ME. iMPACT3: internet-based development and administration of utility elicitation protocols. Med Decis Making. 2002;22(6):464–74.
Skinner CS, Strecher VJ, Hospers H. Physicians’ recommendations for mammography: do tailored messages make a difference? Am J Public Health. 1994;84(1):43–9.
Thompson SC, Pitts JS, Schwankovsky L. Preferences for involvement in medical decision-making: situational and demographic influences. Patient Educ Couns. 1993;22(3):133–40.
Alexander G. Health risk appraisal. Int Electron J Health Educ. 2000;3(Special):133–7.
NCQA. Wellness and health promotion report card. 2009. Accessed 11/3/2015. Available from: http://reportcard.ncqa.org/WHP/External/.
Ozminkowski RJ, Goetzel RZ, Wang F, Gibson TB, Musich S, Bender J, Edington DW. The savings gained from participation in health promotion programs for medicare beneficiaries. J Occup Environ Med. 2006;48(11):1125–32.
WebMD. Depression assessment. Available from: http://www.webmd.com/depression/depression-assessment/. Accessed 12 Mar 2015.
Adult Attention Deficit Disorder Center of Maryland. Online screening test. Available from: http://www.addadult.com/getting-help/for-you/online-screening-test/. Accessed 11 Jan 2015.
Psych Central. Attention deficit disorder (ADD/ADHD) test. Available from: http://psychcentral.com/quizzes/addquiz.htm. Accessed 12 Mar 2015.
Alzheimer’s Association. Tests for Alzheimer’s disease and dementia. 2015 11/1/2015]; Available from: http://www.alz.org/alzheimers_disease_steps_to_diagnosis.asp. Accessed 12 Mar 2015.
National Eating Disorders Association. Online eating disorder screening. 11/1/2015. Available from: http://www.nationaleatingdisorders.org/online-eating-disorder-screening.
WebMD. WebMD symptom checker. 11/3/2015. Available from: http://symptoms.webmd.com/.
American Institutes for Research. Shared decision-making and benefit design. Princeton: Robert Wood Johnson Foundation; 2013. Available from: http://www.rwjf.org/en/library/research/2013/04/shared-decision-making-and-benefit-design.html. Accessed 12/3/2015.
AGS Choosing Wisely Workgroup. American Geriatrics Society identifies five things that healthcare providers and patients should question. J Am Geriatr Soc. 2013;61(4):622–31.
Stacey D, Bennett CL, Barry MJ, Col NF, Eden KB, Holmes-Rovner M, Llewellyn-Thomas H, Lyddiatt A, Légaré F, Thomson R. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2011;10:CD001431.
Agency for Healthcare Research and Quality. Effective health care program: patient decision aids. Available from: http://effectivehealthcare.ahrq.gov/index.cfm/tools-and-resources/patient-decision-aids/. Accessed 12 Mar 2015.
Ottawa Hospital Research Institute. Patient decision aids. 6/22/2015 11/1/2015. Available from: https://decisionaid.ohri.ca/azlist.html.
Healthwise. Boost shared decision making. 11/1/2015. Available from: http://www.healthwise.org/products/decisionaids.aspx.
WebMD. 11/3/2015. Available from: www.webmd.com.
Elwyn G, O’Connor A, Stacey D, Volk R, Edwards A, Coulter A, Thomson R, Barratt A, Barry M, Bernstein S, Butow P, Clarke A, Entwistle V, Feldman-Stewart D, Holmes-Rovener M, Llewellyn-Thomas H, Moumjid N, Mulley A, Ruland C, Sepucha K, Sykes A, Whelan T. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.
Joseph-Williams N, Newcombe R, Politi M, Durand MA, Sivell S, Stacey D, O’Connor A, Volk RJ, Edwards A, Bennett C, Pignone M, Thomson R, Elwyn G. Toward minimum standards for certifying patient decision aids: a modified Delphi consensus process. Med Decis Making. 2013;34(6):699–710.
Kaiser Permanente. Programs & classes. 11/1/2015. Available from: https://healthy.kaiserpermanente.org/health/care/consumer/health-wellness/programs-classes.
Rx List The Internet Drug Index. 11/3/2015. Available from: http://www.rxlist.com.
DrugInfoNet.com. 11/3/2015. Available from: http://www.DrugInfoNet.com.
Rx Med. 11/3/2015. Available from: http://www.rxmed.com.
Drugs.com. 11/3/2015. Available from: http://www.drugs.com/drug_interactions.html.
DISCERN Online. Quality criteria for consumer health information. 9/17/15. Available from: http://www.discern.org.uk/.
Agency for Healthcare Research and Quality. Assessing the quality of internet health information. 2014 Dec 2014 11/3/2015. Available from: http://www.ahrq.gov/research/data/infoqual.html.
Health on the Net Foundation. Health on the Net Foundation Code of Conduct (HONcode) for medical and health web sites. 8/25/14 9/17/15. Available from: http://www.hon.ch/HONcode/.
Cline RJW, Haynes KM. Consumer health information seeking on the internet: the state of the art. Health Educ Res. 2001;16(6):671–92. doi:10.1093/her/16.6.671.
Harris RM, Wathen CN, Fear JM. Searching for health information in rural Canada. Where do residents look for health information and what do they do when they find it? Inf Res, 2006:12(1) paper 274. Available at http://InformationR.net/ir/12-1/paper274.html.
European Centre for Disease Prevention and Control. TECHNICAL REPORT. A literature review on health information-seeking behaviour on the web: a health consumer and health professional perspective: insights into health communication. Available at: http://ecdc.europa.eu/en/publications/Publications/Literature%20review%20on%20health%20information-seeking%20behaviour%20on%20the%20web.pdf.
Jimison HB, Sher PP. Presenting clinical and consumer data to patients. In: Chapman GB, Sonnenberg FA, editors. Decision making in health care: theory, psychology, and applications. New York: Cambridge University Press; 2000.
Jimison H, Gorman P, Woods S, Nygren P, Walker M, Norris S, Hersh W. Barriers and drivers of health information technology use for the elderly, chronically Ill, and underserved. Evidence Report/Technology Assessment No. 175 (Prepared by the Oregon Evidence-based Practice Center under Contract No. 290-02-0024). AHRQ Publication No. 09-E004. Rockville: Agency for Healthcare Research and Quality. Nov 2008.
Statistics Brain Research Institute. Illiteracy statistics. How many American adults can’t read? Statistics on adult illiteracy rates in the U.S.? What percent of U.S. adults can’t read? [cited 11/3/2015; Available from: http://www.statisticbrain.com/number-of-american-adults-who-cant-read/.
Davis TC, Crouch MA, Wills G, Miller S, Abdehou DM. The gap between patient reading comprehension and the readability of patient education materials. J Fam Pract. 1990;31(5):533–8.
Doak CC, Doak LG, Root IH. Teaching patients with low literacy skills. Philadelphia: J. B. Lippincott; 1985.
Holt GA, Hollon JD, Hughes SE, Coyle R. OTC labels: can consumers read and understand them? Am Pharm. 1990;NS30(11):51–4.
Davis TC, Mayeaux EJ, Fredrickson D, Bocchini Jr JA, Jackson RH, Murphy PW. Reading ability of parents compared with reading level of pediatric patient education materials. Pediatrics. 1994;93(3):460–8.
Petterson T. How readable are the hospital information leaflets available to elderly patients? Age Ageing. 1994;23(1):14–6.
Morgan PP. Illiteracy can have major impact on patients’ understanding of health care information. CMAJ. 1993;148(7):1196–7.
Feldman SR, Quinlivan A, Williford P, Bahnson JL, Fleischer Jr AB. Illiteracy and the readability of patient education materials. A look at Health Watch. N C Med J. 1994;55(7):290–2.
Jubelirer SJ, Linton JC, Magnetti SM. Reading versus comprehension: implications for patient education and consent in an outpatient oncology clinic. J Cancer Educ. 1994;9(1):26–9.
Reid JC, Klachko DM, Kardash CA, Roinson RD, Scholes R, Howard D. Why people don’t learn from diabetes literature: influence of text and reader characteristics. Patient Educ Couns. 1995;25(1):31–8.
Berner ES, Webster GD, Shugerman AA, Jackson JR, Algina J, Baker AL, Ball EV, Cobbs CG, Dennis VW, Frenkel EP, et al. Performance of four computer-based diagnostic systems. N Engl J Med. 1994;330(25):1792–6.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Jimison, H.B., Gordon, C.M. (2016). Decision Support for Patients. In: Berner, E. (eds) Clinical Decision Support Systems. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-31913-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-31913-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31911-7
Online ISBN: 978-3-319-31913-1
eBook Packages: MedicineMedicine (R0)