To address gaps in the quality of care for osteo-arthritis, the authors developed a Web-based computer program to provide patients with personalized feedback designed to improve the quality of their osteoarthritis care. The current study was designed to examine satisfaction as well as the potential effects of the feedback on patients’ perceptions of their osteoarthritis care by randomizing patients to use the site before or after they answered questions about the quality of their osteoarthritis care. On average, participants received 8.7 recommendations to change their osteoarthritis care. Satisfaction with osteo-arthritis care was similar between subjects in both groups. Most subjects believed that the Web site would help them get better care from their doctor (77.7%), and most would recommend it to others (94.3%). Overall, the Web site is well accepted and has no negative effect on patients’ satisfaction with their osteo-arthritis care.
Katz SI. Boning up for health: the national bone and joint decade. J Bone Miner Res. 2004;19:1605-1606.
2.
Stewart WF, Ricci JA, Chee E, Morganstein D, Lipton R.Lost productive time and cost due to common pain conditions in the US workforce. JAMA. 2003;290:2443-2454.
3.
Health-related quality of life among adults with arthritis: behavioral risk factor surveillance system, 11 states, 1996-1998. MMWR Morb Mortal Wkly Rep. 2000;49:366-369.
4.
Centers for Disease Control and Prevention. Healthy People 2010. Atlanta, Ga: Centers for Disease Control and Prevention; 1999.
5.
Recommendations for the medical management of osteo-arthritis of the hip and knee: 2000 update. American College of Rheumatology Subcommittee on Osteoarthritis Guidelines. Arthritis Rheum. 2000;43:1905-1915.
6.
Bellamy N, Bradley LA. Workshop on chronic pain, pain control, and patient outcomes in rheumatoid arthritis and osteo-arthritis. Arthritis Rheum. 1996;39:357-362.
7.
Glazier RH, Dalby DM, Badley EM, et al.Management of common musculoskeletal problems: a survey of Ontario primary care physicians. CMAJ. 1998;158:1037-1040.
8.
Hootman J, Helmick C, Schappert S.Characteristics of chronic arthritis and other rheumatic condition-related ambulatory care visits, United States, 1997. Ann Epidemiol. 2000;10:454.
9.
Mamlin LA, Melfi CA, Parchman ML, et al.Management of osteoarthritis of the knee by primary care physicians. Arch Fam Med. 1998;7:563-567.
10.
Katz JN. Preferences, quality, and the (under)utilization of total joint arthroplasty. Med Care. 2001;39:203-205.
11.
Hawker GA, Wright JG, Coyte PC, et al.Determining the need for hip and knee arthroplasty: the role of clinical severity and patients’ preferences. Med Care. 2001;39:206-216.
12.
Katz JN, Barrett J, Liang MH, et al.Utilization of rheumatology physician services by the elderly. Am J Med. 1998;105:312-318.
13.
Centers for Disease Control and Prevention. National Arthritis Action Plan: A Public Health Strategy. Atlanta, Ga: Centers for Disease Control and Prevention; 1999.
14.
National Heart, Lung, and Blood Institute. The Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Bethesda, Md: National Heart, Lung, and Blood Institute; 1997.
15.
Murray E, Lo B, Pollack L, et al.The impact of health information on the Internet on the physician-patient relationship: patient perceptions. Arch Intern Med. 2003;163:1727-1734.
16.
Wagner EH, Glasgow RE, Davis C, et al.Quality improvement in chronic illness care: a collaborative approach. Jt Comm J Qual Improv. 2001;27:63-80.
17.
Wagner EH. Chronic disease management: what will it take to improve care for chronic illness?Eff Clin Pract. 1998;1:2-4.
18.
Hochberg MC, Altman RD, Brandt KD, et al.Guidelines for the medical management of osteoarthritis: part II. Osteoarthritis of the knee. American College of Rheumatology. Arthritis Rheum. 1995;38:1541-1546.
19.
Hochberg MC, Altman RD, Brandt KD, et al.Guidelines for the medical management of osteoarthritis: part I. Osteoarthritis of the hip. American College of Rheumatology. Arthritis Rheum. 1995;38:1535-1540.
20.
Green CG, Khan MA, Badinelli R.Use of the Delphi research technique to test a decision model in foodservice systems: a case study in food production. J Am Diet Assoc. 1993;93:1307-1309.
21.
Grossman JM, MacLean CH. Quality indicators for the management of osteoporosis in vulnerable elders. Ann Intern Med. 2001;135:722-730.
22.
Spooner T, Meredity P, Raine L.Internet Use by Region in the United States. Washington, DC: Pew Internet and American Life Project; 2002.
23.
Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System: Prevalence Data. Atlanta, Ga: Centers for Disease Control and Prevention; 2000.
24.
National Health Interview Survey: research for the 1995-2004 redesign. Vital Health Stat. 1999;2:1-119.
25.
Fox S, Fallows D.Internet Health Resources: Health Searches and Email Have Become More Commonplace, but There Is Room For Improvement in Searches and Overall Internet Access. Washington, DC: Pew Internet and American Life Project; 2003.
26.
Markson LE, Vollmer WM, Fitterman L, et al.Insight into patient dissatisfaction with asthma treatment. Arch Intern Med. 2001;161:379-384.
27.
Ware JE, Snyder MK, Wright JR. Development and Validation of Scales to Measure Patient Satisfaction With Medical Care Services. Vol I, Part A: Review of Literature, Overview of Methods and Results Regarding Construction of Scales. Springfield, Va: National Technical Information Service; 1976.
28.
Crofton C, Lubalin JS, Darby C.Consumer Assessment of Health Plans Study (CAHPS): foreword. Med Care. 1999;37:MS1-MS9.
29.
Escarce JJ, Kapur K, Solomon MD, et al.Practice characteristics and HMO enrollee satisfaction with specialty care: an analysis of patients with glaucoma and diabetic retinopathy. Health Serv Res. 2003;38:1135-1155.
30.
Gregor MA, Shope JT, Blow FC, et al.Feasibility of using an interactive laptop program in the emergency department to prevent alcohol misuse among adolescents. Ann Emerg Med. 2003;42:276-284.
31.
Allenby A, Matthews J, Beresford J, McLachlan SA. The application of computer touch-screen technology in screening for psychosocial distress in an ambulatory oncology setting. Eur J Cancer Care (Engl). 2002;11:245-253.
32.
Vandelanotte C, De Bourdeaudhuij I.Acceptability and feasibility of a computer-tailored physical activity intervention using stages of change: project FAITH. Health Educ Res. 2003;18:304-317.
33.
Prochaska JJ, Zabinski MF, Calfas KJ, Sallis JF, Patrick K.PACE+: interactive communication technology for behavior change in clinical settings. Am J Prev Med. 2000;19:127-131.
34.
Bock B, Niaura R, Fontes A, Bock F.Acceptability of computer assessments among ethnically diverse, low-income smokers. Am J Health Promot. 1999;13:299-304.
35.
Calfas KJ, Sallis JF, Zabinski MF, et al.Preliminary evaluation of a multicomponent program for nutrition and physical activity change in primary care: PACE+ for adults. Prev Med. 2002;34:153-161.
36.
Abrams DB, Mills S, Bulger D.Challenges and future directions for tailored communication research. Ann Behav Med. 1999;21:299-306.
37.
Tate DF, Jackvony EH, Wing RR. Effects of Internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial. JAMA. 2003;289:1833-1836.
38.
Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285:1172-1177.
39.
Harvey-Berino J, Pintauro S, Buzzell P, Gold EC. Effect of Internet support on the long-term maintenance of weight loss. Obes Res. 2004;12:320-329.
40.
Pignone M, Sheridan SL, Lee YZ, et al.Heart to heart: a computerized decision aid for assessment of coronary heart disease risk and the impact of risk-reduction interventions for primary prevention. Prev Cardiol. 2004;7:26-33.
41.
Lorig KR, Laurent DD, Deyo RA, et al.Can a back pain e-mail discussion group improve health status and lower health care costs? A randomized study. Arch Intern Med. 2002;62:792-796.
42.
McKay HG, Feil EG, Glasgow RE, Brown JE. Feasibility and use of an Internet support service for diabetes self-management. Diabetes Educ. 1998;24:174-179.
43.
Goldberg HI, Ralston JD, Hirsch IB, Hoath JI, Ahmed KI. Using an Internet comanagement module to improve the quality of chronic disease care. Jt Comm J Qual Saf. 2003;29:443-451.
44.
Baker AM, Lafata JE, Ward RE, Whitehouse F, Divine G.A Web-based diabetes care management support system. Jt Comm J Qual Improv. 2001;27:179-190.
45.
Riva A, Bellazzi R, Stefanelli M.A Web-based system for the intelligent management of diabetic patients. MD Comput. 1997;14:360-364.
46.
Murray E, Lo B, Pollack L, et al.The impact of health information on the Internet on health care and the physician-patient relationship: national U.S. survey among 1,050 U.S. physicians. J Med Internet Res. 2003;5:e17.
47.
Sciamanna CN, Clark MA, Diaz JA, Newton S.Filling the gaps in physician communication: the role of the Internet among primary care patients. Int J Med Inf. 2003;72:1-8.
48.
Stange KC, Zyzanski SJ, Smith TF, et al.How valid are medical records and patient questionnaires for physician profiling and health services research? A comparison with direct observation of patients visits. Med Care. 1998;36:851-867.
49.
Weiner JP, Parente ST, Garnick DW, et al.Variation in office-based quality: a claims-based profile of care provided to Medicare patients with diabetes. JAMA. 1995;273:1503-1508.
50.
Weiss KB, Wagner R.Performance measurement through audit, feedback, and profiling as tools for improving clinical care. Chest. 2000;118:53S-58S.
51.
Berland GK, Elliott MN, Morales LS, et al.Health information on the Internet: accessibility, quality, and readability in English and Spanish. JAMA. 2001;285:2612-2621.
52.
Kirsch I, Jungeblut A, Jenkins LAK. Adult Literacy in America: A First Look at the Results of the National Adult Literacy Survey. Washington, DC: National Center for Education Statistics, US Department of Education; 1993.
53.
Institute of Medicine. Health Literacy: A Prescription to End Confusion. Washington, DC: Institute of Medicine; 2004.
54.
Greenfield S, Kaplan SH, Ware JE Jr, Yano EM, Frank HJ. Patients’ participation in medical care: effects on blood sugar control and quality of life in diabetes. J Gen Intern Med. 1988;3:448-457.
55.
Greenfield S, Kaplan S, Ware JE Jr.Expanding patient involvement in care: effects on patient outcomes. Ann Intern Med. 1985;102:520-528.
56.
Wagner EH. Meeting the needs of chronically ill people. BMJ. 2001;323:945-946.
