Barriers to routine risk-score use for healthy primary care patients: Survey and qualitative study

Archives of Internal Medicine

Volumn 170, Issue 8, 2010, Pages 719-724

  Müller Riemenschneider, Falk ^a   Holmberg, Christine ^b   Rieckmann, Nina ^a,c   Kliems, Harald ^d   Rufer, Veronika ^a   Müller Nordhorn, Jacqueline ^a   Willich, Stefan N ^a  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^b NATIONAL CANCER INSTITUTE   (United States)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^d Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIOR MODIFICATION; CHRONIC DISEASE; DOCTOR PATIENT RELATION; GENERAL PRACTICE; GENERAL PRACTITIONER; LIFESTYLE MODIFICATION; PHYSICIAN ATTITUDE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; QUALITATIVE RESEARCH; QUANTITATIVE ANALYSIS; QUESTIONNAIRE; RISK ASSESSMENT; SCORING SYSTEM;

ADULT; AGED; AGED, 80 AND OVER; ATTITUDE OF HEALTH PERSONNEL; CHRONIC DISEASE; FAMILY PRACTICE; FEMALE; FOCUS GROUPS; GERMANY; HEALTH CARE SURVEYS; HEALTH PROMOTION; HEALTH STATUS; HUMANS; MALE; MIDDLE AGED; PHYSICIAN'S PRACTICE PATTERNS; PHYSICIAN-PATIENT RELATIONS; PHYSICIANS, WOMEN; PROBABILITY; QUESTIONNAIRES; REFERENCE VALUES; RISK ASSESSMENT; YOUNG ADULT;

EID: 77951660833     PISSN: 00039926     EISSN: 15383679     Source Type: Journal    
DOI: 10.1001/archinternmed.2010.66     Document Type: Article

References (32)

1. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367(9524):1747-1757.
2. Kannel WB. Some lessons in cardiovascular epidemiology from Framingham. Am J Cardiol. 1976;37(2):269-282.
3. Jackson R, Lawes CM, Bennett DA, Milne RJ, Rodgers A. Treatment with drugs to lower blood pressure and blood cholesterol based on an individual's absolute cardiovascular risk. Lancet. 2005;365(9457):434-441. (Pubitemid 40179232)
4. About risk prediction models. National Cancer Institute/US National Institutes of Health Web site. http://riskfactor.cancer.gov/cancer-risk- prediction/about.html. Accessed January 26, 2010.
5. Graham I, Atar D, Borch-Johnsen K, et al; European Society of Cardiology (ESC); European Association for Cardiovascular Prevention and Rehabilitation (EACPR); Council on Cardiovascular Nursing; European Association for Study of Diabetes (EASD); International Diabetes Federation Europe (IDF-Europe); European Stroke Initiative (EUSI); Society of Behavioural Medicine (ISBM); European Society of Hypertension (ESH); WONCA Europe (European Society of General Practice/Family Medicine); European Heart Network (EHN); European Atherosclerosis Society (EAS). European guidelines on cardiovascular disease prevention in clinical practice: full text: Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil. 2007;14(suppl 2):S1-S113.
6. Pfeilschifter J. Evidenzbasierte Konsensusleitlinien zur Osteoporose. Stuttgart, Germany: Schattauer Verlag; 2006.
7. Freedman AN, Seminara D, Gail MH, et al. Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst. 2005;97(10):715-723. (Pubitemid 40872378)
8. Rydén L, Standl E, Bartnik M, et al; European Association for the Study of Diabetes (EASD); The Task Force on Diabetes and Cardiovascular Diseases of the European Society of Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD). Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. Eur Heart J. 2007;28(1):88-136.
9. Kannel WB, McGee D, Gordon T. A general cardiovascular risk profile: the Framingham Study. Am J Cardiol. 1976;38(1):46-51. (Pubitemid 9082394)
10. Henry MJ, Pasco JA, Sanders KM, Nicholson GC, Kotowicz MA. Fracture Risk (FRISK) Score: Geelong Osteoporosis Study. Radiology. 2006;241(1):190-196.
11. Hippisley-Cox J, Coupland C, Vinogradova Y, et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 2008;336(7659):1475-1482. (Pubitemid 351977019)
12. Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007;297(6):611-619. (Pubitemid 46257283)
13. Kivipelto M, Ngandu T, Laatikainen T, Winblad B, Soininen H, Tuomilehto J. Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study. Lancet Neurol. 2006;5(9):735-741. (Pubitemid 44205512)
14. Schulze MB, Hoffmann K, Boeing H, et al. An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes. Diabetes Care. 2007;30(3):510-515. (Pubitemid 46354326)
15. Zuithoff NP, Vergouwe Y, King M, et al. A clinical prediction rule for detecting major depressive disorder in primary care: the PREDICT-NL study. Fam Pract. 2009;26(4):241-250.
16. Oliver D, Britton M, Seed P, Martin FC, Hopper AH. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly in-patients will fall: case-control and cohort studies. BMJ. 1997;315(7115):1049-1053. (Pubitemid 27458393)
17. Eichler K, Zoller M, Tschudi P, Steurer J. Barriers to apply cardiovascular prediction rules in primary care: a postal survey. BMC Fam Pract. 2007;8(1):1. doi:10.1186/1471-2296-8-1. (Pubitemid 46304563)
18. Whittaker R, Bramley D, Wells S, et al. Will a Web-based cardiovascular disease (CVD) risk assessment programme increase the assessment of CVD risk factors for Maori? N Z Med J. 2006;119(1238):U2077. (Pubitemid 44144876)
19. Strauss A. Qualitative Analysis for Social Scientists. Cambridge, MA: Cambridge University Press; 1987.
20. Charmaz K. Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. London, England: SAGE Publication Ltd; 2006.
21. Kennedy TJ, Lingard LA. Making sense of grounded theory in medical education. Med Educ. 2006;40(2):101-108.
22. Strauss A, Corbin J. Basics of Qualitative Research. Newbury Park, CA: SAGE Publication Ltd; 1990.
23. Krones T, Keller H, Sönnichsen A, et al. Absolute cardiovascular disease risk and shared decision making in primary care: a randomized controlled trial. Ann Fam Med. 2008;6(3):218-227. (Pubitemid 351720820)
24. Wells S, Furness S, Rafter N, et al. Integrated electronic decision support increases cardiovascular disease risk assessment four fold in routine primary care practice. Eur J Cardiovasc Prev Rehabil. 2008;15(2):173-178. (Pubitemid 351507649)
25. Fuster V. Are predictive risk scores useful? Nat Rev Cardiol. 2009;6(8):493. doi:10.1038/nrcardio.2009.120.
26. Rockhill B. The privatization of risk. Am J Public Health. 2001;91(3):365-368.
27. Hense HW, Schulte H, Löwel H, Assmann G, Keil U. Framingham risk function overestimates risk of coronary heart disease in men and women from Germany: results from the MONICA Augsburg and the PROCAM cohorts. Eur Heart J. 2003;24(10):937-945. (Pubitemid 36559987)
28. Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, May M, Brindle P. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. BMJ. 2007;335(7611):136. doi:10.1136/bmj.39261.471806.55. (Pubitemid 47172233)
29. Gidding SS, McMahan CA, McGill HC, et al. Prediction of coronary artery calcium in young adults using the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) risk score: the CARDIA study. Arch Intern Med. 2006;166(21):2341-2347.
30. Simmons RK, Sharp S, Boekholdt SM, et al. Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events? Arch Intern Med. 2008;168(11):1209-1216. (Pubitemid 351831404)
31. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358-366. (Pubitemid 32229380)
32. Jackson R. Cardiovascular risk prediction: are we there yet? Heart. 2008;94(1):1-3.