Impact of an electronic medical record on diabetes quality of care

Annals of Family Medicine

Volumn 3, Issue 4, 2005, Pages 300-306

  O'Connor, Patrick J ^a   Cram, A Lauren ^a   Rush, William A ^a   Sperl Hillen, JoAnn M ^a   Gutenkauf, Jay J ^a   Duncan, Jane E ^a  

^a HEALTHPARTNERS RESEARCH FOUNDATION   (United States)

Author keywords

Diabetes mellitus; Diabetic control; Disease management; Endocrinological system metabolism; Informatics; Medical decision making, computer assisted; Medical records systems, computerized; Practice based research; Primary health care; Quality of health care

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; LOW DENSITY LIPOPROTEIN;

ADULT; ARTICLE; BLOOD GLUCOSE MONITORING; CONTROLLED STUDY; DIABETES MELLITUS; DIAGNOSTIC TEST; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH CARE QUALITY; HEMOGLOBIN DETERMINATION; HUMAN; LIPOPROTEIN BLOOD LEVEL; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; PRACTICE GUIDELINE; PRIMARY MEDICAL CARE;

CHOLESTEROL, LDL; DIABETES MELLITUS; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; LONGITUDINAL STUDIES; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MIDDLE AGED; PRIMARY HEALTH CARE; QUALITY OF HEALTH CARE;

EID: 23844526514     PISSN: 15441709     EISSN: None     Source Type: Journal    
DOI: 10.1370/afm.327     Document Type: Article

References (45)

1. Mokdad AH, Bowman BA, Ford ES, Vinicor F, Marks JS, Koplan JP. The continuing epidemics of obesity and diabetes in the United States. JAMA. 2001;286:1195-1200.
2. Marrero DG. Current effectiveness of diabetes health care in the United States. Diabetes Rev. 1994;2:292-309.
3. Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC, National Academy Press; 2001.
4. Institute of Medicine (IOM). To err is human: building a safer health system. Washington, DC: National Academy Press; 2000
5. O'Connor PJ, Solberg LI, Baird M. The future of primary care. The enhanced primary care model. J Fam Pract. 1998;47:62-67.
6. Wagner EH, Austin BT, Korff MV. Improving outcomes in chronic illness. Managed Care Q. 1996;4:12-25.
7. Ornstein SM, Jenkins RG, MacFarlane L, Glaser A, Snyder K, Gundrum T. Electronic medical records as tools for quality improvement in ambulatory practice: theory and a case study. Top Health Inf Manage. 1998;19:35-43.
8. Selby JV, Karter AJ, Ackerson LM, Ferrara A, Liu J. Developing a prediction rule from automated clinical databases to identify high-risk patients in a large population with diabetes. Diabetes Care. 24: 2001;1547-1555.
9. Barahona P, Azevedo F, Veloso M, Estevao N, Gallego R. Computerising a guideline for the management of diabetes. Int J Med Inf. 2001; 64:275-284.
10. Institute of Medicine. Key Capabilities of an Electronic Health Record System: Letter Report. Washington, DC: Institute of Medicine of the National Academies, http://www.nap.edu, 2003:31.
11. Phillips LS, Branch WT, Cook CB, et al. Clinical inertia. Ann Intern Med. 2001;135:825-834.
12. O'Connor PJ, Sperl-Hillen JM, et al. (2005). Clinical inertia and outpatient medical errors. In: Henriksen K, Battles J, Lewin D, Marks E. Advances in Patient Safety: From Research to Implementation. Vol 2. Rockville, Md: Agency for Healthcare Research and Quality (AHRQ); 2005:293-308.
13. Sperl-Hillen J, O'Connor PJ, Carlson RR, et al. Improving diabetes care in a large health care system: an enhanced primary care approach. Jt Comm J Qual Improv. 2000;26:615-622.
14. Nyman MA, Murphy ME, Schryver PG, Naessens JM, Smith SA. Improving performance in diabetes care: a multicomponent intervention. Eff Clin Pract. 2000;3:205-212.
15. Sidorov J, Gabbay R, Harris R, Shull RD, Girolami S, Tomcavage J, Starkey R, Hughes R. Disease management for diabetes mellitus: impact on Hemoglobin A1c. Am J Manag Care. 2000;6:1217-1226.
16. Sutherland JE, Hoehns JD, O'Donnell B, Wiblin RT. Diabetes management quality improvement in a family practice residency program. J Am Board Fam Pract. 2001;14:243-251.
17. Hunt D, Haynes A, Hanna S, Smith K. Effects of computer-based decision support systems in physician performance and patient outcomes: a systematic review. JAMA. 1998;280:1339-1346.
18. Meigs JB, Cagliero E, Dubey A, et al. A controlled trial of web-based diabetes disease management: the MGH diabetes primary care improvement project. Diabetes Care. 2003;26:750-757.
19. Montori VM, Dinneen SF, Gorman CA, et al. The impact of planned care and a diabetes electronic management system on community-based diabetes care: the Mayo Health System Diabetes Translation Project. Diabetes Care. 2002;25:1952-1957.
20. Kerr EA, Gerzoff RB, Krein SL, Selby JV, Piette JD, et al. Diabetes care quality in the Veterans Affairs health care system and commercial managed care: the TRIAD study. Ann Intern Med. 2004;141:272-281.
21. O'Connor P, Rush W, Pronk N, Cherney L. Identifying diabetes mellitus or heart disease among health maintenance organization members: sensitivity, specificity, predictive value and cost of survey and database methods. Am J Manag Care. 1998;4:335-342.
22. Gilmer TG, O'Connor PJ, Rush WA. Does baseline HbA1c predict subsequent HMO disenrollment? In American Diabetes Association's 58th Annual Meeting and Scientific Sessions. Chicago, Ill: American Diabetes Association; 1998:A190.
23. Huisman TH, Henson JB, Wilson JB. A new high-performance liquid chromatographic procedure to quantitate hemoglobin A1c and other minor hemoglobins in blood of normal, diabetic, and alcoholic individuals. J Lab Clin Med. 1983;102:163-173.
24. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499-502.
25. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373-383.
26. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613-619.
27. Rush WA, O'Connor PJ, Goodman MJ. Validation of a modified Charlson score for using health plan claims data. In Minnesota Health Services Research Conference. Minneapolis, Minn: University of Minnesota; 2000.
28. ICSI. Clinical care guideline: treatment of type 2 diabetes mellitus. Bloomington, Minn: Institute for Clinical Systems Integration; 1999.
29. ADA. Clinical practice recommendations 1999. Diabetes Care. 1999;22(Suppl 1).
30. Gilmer TP, O'Connor PJ, Manning WG, Rush WA. The cost to health plans of poor glycemic control. Diabetes Care. 1997;20:1847-1853.
31. Gilmer TP, O'Connor PJ, Rush WA, et al. Predictors of health care costs in adults with diabetes. Diabetes Care. 2005;28:59-64.
32. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK. Prospective Diabetes Study (UKPDS) Group. Lancet. 1998;352:837-853.
33. Greenfield S, Rogers W, Mangotich M, Carney MP, Tarlov AR. Outcomes of patients with hypertension and non-insulin-dependent diabetes mellitus treated by different systems and specialists. Results from the Medical Outcomes Study. JAMA. 1995;274:1436-1444.
34. O'Connor PJ, Fragneto R, Coulehan J, Crabtree BF. Metabolic control in non-insulin-dependent diabetes mellitus: factors associated with patient outcomes. Diabetes Care. 1987;10:697-701.
35. O'Connor PJ, Sperl-Hillen JM, Pronk NP, Murray T. Primary care clinic-based chronic disease care: features of successful programs. Dis Manage Health Outcomes. 2001;9:691-698.
36. Sperl-Hillen JM, Solberg LI, Hroscikoski MC, Crain AL, Engebretson KI, O'Connor PJ. Do all components of the chronic care model contribute equally to quality improvement? Jt Comm J Qual Saf. 2004;30:303-309.
37. Mazze R, Strock E, Simonson G, Bergenstal R, Etzwiler D. Staged Diabetes Management: Detection and Treatment. Minneapolis, Minn: International Diabetes Center; 2001.
38. 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.
39. Renders CM, Valk GD, Griffin SJ, Wagner EH, Eijk Van JT, Assendelft WJ. Interventions to improve the management of diabetes in primary care, outpatient, and community settings: a systematic review. Diabetes Care. 2001;24:1821-1833.
40. Balas EA, Krishna S, Kretschmer RA, Cheek TR, Lobach DF, Boren SA. Computerized knowledge management in diabetes care. Med Care. 2004;42:610-621.
41. Hofer TP, Hayward RA, Greenfield S, Wagner EH, Kaplan SH, Manning WG. The unreliability of individual physician "report cards" for assessing the costs and quality of care of a chronic disease. JAMA. 1999;281:2098-2105.
42. Krein SL, Hofer TP, Kerr EA, Hayward RA. Whom should we profile? Examining diabetes care practice variation among primary care providers, provider groups, and health care facilities. Health Serv Res. 2002;37:1159-1180.
43. O'Connor PJ, Rush WA, Gilmer TP, et al. Final Report: Organizational Characteristics and Chronic Disease. Minneapolis, Minn: HealthPartners Research Foundation and University of Minnesota Carlson School of Management; 2004.
44. Murray MD, Harris LE, Overhage JM, et al. Failure of computerized treatment suggestions to improve health outcomes of outpatients with uncomplicated hypertension: results of a randomized controlled trial. Pharmacotherapy. 2004;24:324-337.
45. Tierney WM, Overhage JM, Murray MD, et al. Effects of computerized guidelines for managing heart disease in primary care. J Gen Intern Med. 2003;18:967-976.