A taxonomy of reasons for not prescribing guideline-recommended medications for patients with heart failure
Tài liệu tham khảo
Walter, 2001, Cancer screening in elderly patients: A framework for individualized decision making, JAMA, 285, 2750, 10.1001/jama.285.21.2750
Hayward, 2007, Performance measurement in search of a path, N Engl J Med, 356, 951, 10.1056/NEJMe068285
Kerr, 2008, The role of clinical uncertainty in treatment decisions for diabetic patients with uncontrolled blood pressure, Ann Intern Med, 148, 717, 10.7326/0003-4819-148-10-200805200-00004
Kerr, 2003, Building a better quality measure: Are some patients with ‘poor quality’ actually getting good care?, Med Care, 41, 1173, 10.1097/01.MLR.0000088453.57269.29
Chaudhry, 2005, Do age and comorbidity affect intensity of pharmacological therapy for poorly controlled diabetes mellitus?, J Am Geriatr Soc, 53, 1214, 10.1111/j.1532-5415.2005.53370.x
Gurwitz, 1991, The ambiguous relation between aging and adverse drug reactions, Ann Intern Med, 114, 956, 10.7326/0003-4819-114-11-956
Reuben, 2009, Medical care for the final years of life: “When you're 83, it's not going to be 20 years”, JAMA, 302, 2686, 10.1001/jama.2009.1871
Cabana, 1999, Why don't physicians follow clinical practice guidelines? A framework for improvement, JAMA, 282, 1458, 10.1001/jama.282.15.1458
Francke, 2008, Factors influencing the implementation of clinical guidelines for health care professionals: A systematic meta-review, BMC Med Inform Decis Mak, 8, 38, 10.1186/1472-6947-8-38
Carlsen, 2007, Thou shalt versus thou shalt not: A meta-synthesis of GPs' attitudes to clinical practice guidelines, Br J Gen Pract, 57, 971, 10.3399/096016407782604820
Foley, 2006, The impact of physician attitudes and beliefs on treatment decisions: Lipid therapy in high-risk patients, Med Care, 44, 421, 10.1097/01.mlr.0000208017.18278.1a
Freeman, 2001, Why general practitioners do not implement evidence: Qualitative study, BMJ, 323, 1100, 10.1136/bmj.323.7321.1100
Kim, 2003, Review of evidence and explanations for suboptimal screening and treatment of dyslipidemia in women. A conceptual model, J Gen Intern Med, 18, 854, 10.1046/j.1525-1497.2003.20910.x
Hunt, 2005, Circulation, 112, e154, 10.1161/CIRCULATIONAHA.105.167586
Fuat, 2003, Barriers to accurate diagnosis and effective management of heart failure in primary care: Qualitative study, BMJ, 326, 196, 10.1136/bmj.326.7382.196
Redelmeier, 1995, Medical decision making in situations that offer multiple alternatives, JAMA, 273, 302, 10.1001/jama.1995.03520280048038
Ab, 2009, Reasons of general practitioners for not prescribing lipid-lowering medication to patients with diabetes: A qualitative study, BMC Fam Pract, 10, 24, 10.1186/1471-2296-10-24
Cavazos, 2008, Barriers to physician adherence to nonsteroidal anti-inflammatory drug guidelines: A qualitative study, Aliment Pharmacol Ther, 28, 789, 10.1111/j.1365-2036.2008.03791.x
Haagen, 2005, Barriers to physician adherence to a subfertility guideline, Hum Reprod, 20, 3301, 10.1093/humrep/dei220
Powell-Cope, 2004, Providerperceived barriers and facilitators for ischaemic heart disease (IHD) guideline adherence, J Eval Clin Pract, 10, 227, 10.1111/j.1365-2753.2003.00450.x
Kasje, 2005, Perceived barriers for treatment of chronic heart failure in general practice; are they affecting performance?, BMC Fam Pract, 6, 19, 10.1186/1471-2296-6-19
Short, 2003, Why are eligible patients not prescribed aspirin in primary care? A qualitative study indicating measures for improvement, BMC Fam Pract, 4, 9, 10.1186/1471-2296-4-9
Phillips, 2004, Barriers to diagnosing and managing heart failure in primary care, Med J Aust, 181, 78, 10.5694/j.1326-5377.2004.tb06178.x
Hickling, 2001, The barriers to effective management of heart failure in general practice, Br J Gen Pract, 51, 615
McKinlay, 2007, Sources of variation in physician adherence with clinical guidelines: Results from a factorial experiment, J Gen Intern Med, 22, 289, 10.1007/s11606-006-0075-2
James, 1998, Patient-centered clinical decisions and their impact on physician adherence to clinical guidelines, J Fam Pract, 46, 311
Mehta, 2008, Association of patient case-mix adjustment, hospital process performance rankings, and eligibility for financial incentives, JAMA, 300, 1897, 10.1001/jama.300.16.1897
Greenfield, 2002, Profiling care provided by different groups of physicians: Effects of patient case-mix (bias) and physician-level clustering on quality assessment results, Ann Intern Med, 136, 111, 10.7326/0003-4819-136-2-200201150-00008
Jha, 2003, Effect of the transformation of the Veterans Affairs Health Care System on the quality of care, N Engl J Med, 348, 2218, 10.1056/NEJMsa021899
Persell, 2006, Assessing the validity of national quality measures for coronary artery disease using an electronic health record, Arch Intern Med, 166, 2272, 10.1001/archinte.166.20.2272
Halm, 2000, Understanding physician adherence with a pneumonia practice guideline: Effects of patient, system, and physician factors, Arch Intern Med, 160, 98, 10.1001/archinte.160.1.98
Keeffe, 2005, Provider response to computer-based care suggestions for chronic heart failure, Med Care, 43, 461, 10.1097/01.mlr.0000160378.53326.f3
Bart, 1997, Reasons for underuse of angiotensin-converting enzyme inhibitors in patients with heart failure and left ventricular dysfunction, Am J Cardiol, 79, 1118, 10.1016/S0002-9149(97)00060-X
Baker, 2007, Automated review of electronic health records to assess quality of care for outpatients with heart failure, Ann Intern Med, 146, 270, 10.7326/0003-4819-146-4-200702200-00006
Gollwitzer, 1990, Action phases and mind-sets, vol 2, 53
Havranek, 2004, Provider and hospital characteristics associated with geographic variation in the evaluation and management of elderly patients with heart failure, Arch Intern Med, 164, 1186, 10.1001/archinte.164.11.1186
Subramanian, 2007, Facilitylevel factors influencing chronic heart failure care process performance in a national integrated health delivery system, Med Care, 45, 28, 10.1097/01.mlr.0000244531.69528.ee