Factors Associated with the Accuracy of Physicians' Predictions of Patient Adherence

Overview

Journal Patient Educ Couns

Publisher Elsevier

Specialties Health Services
Nursing

Date 2011 Apr 20

PMID 21501943

Citations 17

Authors

L Alison Phillips

Elaine A Leventhal

Howard Leventhal

Affiliations

Soon will be listed here.

Abstract

Objective: Physicians are inaccurate in predicting non-adherence in patients, a problem that interferes with physicians': (1) appropriate prescribing decisions and (2) effective prevention/intervention of non-adherence. The purpose of the current study is to investigate potential reasons for the poor accuracy of physicians' adherence-predictions and conditions under which their predictions may be more accurate.

Methods: After the medical encounter, predictions of patient-adherence and other ratings from primary-care physicians (n=24) regarding patient-factors that may have influenced their predictions were collected. Patients (n=288) rated their agreement regarding the prescribed treatment after the encounter and reported adherence 1 month later.

Results: Several factors were related to physicians' adherence-predictions, including physicians' perceptions of patient-agreement regarding treatment. However, some factors were not related to adherence and agreement-perceptions were inaccurate overall, potentially contributing to the poor accuracy of adherence-predictions. The degree to which physicians discussed treatment-specifics with the patient moderated agreement-perception accuracy but not adherence-prediction accuracy.

Conclusions: Training providers to discuss certain treatment-specifics with patients may improve their ability to perceive patient-agreement regarding treatment and may directly improve patient-adherence.

Practice Implications: Discussing treatment-specifics with patients may directly improve adherence, but providers should not rely on these discussions to give them accurate estimates of the patients' likely adherence.

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References

Margolis M, Christie J, Silvestri G, Kaiser L, Santiago S, Hansen-Flaschen J . Racial differences pertaining to a belief about lung cancer surgery: results of a multicenter survey. Ann Intern Med. 2003; 139(7):558-63. DOI: 10.7326/0003-4819-139-7-200310070-00007. View

Bogart L, Catz S, Kelly J, Benotsch E . Factors influencing physicians' judgments of adherence and treatment decisions for patients with HIV disease. Med Decis Making. 2001; 21(1):28-36. DOI: 10.1177/0272989X0102100104. View

Thornburg C . Physicians' perceptions of adherence to prophylactic clotting factor infusions. Haemophilia. 2007; 14(1):25-9. DOI: 10.1111/j.1365-2516.2007.01591.x. View

LaVeist T, Nickerson K, Bowie J . Attitudes about racism, medical mistrust, and satisfaction with care among African American and white cardiac patients. Med Care Res Rev. 2000; 57 Suppl 1:146-61. DOI: 10.1177/1077558700057001S07. View

Parker C, Chen Z, Price M, Gross R, Metlay J, Christie J . Adherence to warfarin assessed by electronic pill caps, clinician assessment, and patient reports: results from the IN-RANGE study. J Gen Intern Med. 2007; 22(9):1254-9. PMC: 2219760. DOI: 10.1007/s11606-007-0233-1. View

Murri R, Antinori A, Ammassari A, Nappa S, Orofino G, Abrescia N . Physician estimates of adherence and the patient-physician relationship as a setting to improve adherence to antiretroviral therapy. J Acquir Immune Defic Syndr. 2003; 31 Suppl 3:S158-62. DOI: 10.1097/00126334-200212153-00015. View

Kreatsoulas C, Sloane D, Pogue J, Velianou J, Anand S . Referrals in acute coronary events for CARdiac catheterization: The RACE CAR trial. Can J Cardiol. 2010; 26(8):290-6. PMC: 2954537. DOI: 10.1016/s0828-282x(10)70436-0. View

Morton A, Riddle R, Buchanan R, Katz D, Birch J . Accuracy in the prediction and estimation of adherence to bracewear before and during treatment of adolescent idiopathic scoliosis. J Pediatr Orthop. 2008; 28(3):336-41. DOI: 10.1097/BPO.0b013e318168d154. View

Zeller A, Taegtmeyer A, Martina B, Battegay E, Tschudi P . Physicians' ability to predict patients' adherence to antihypertensive medication in primary care. Hypertens Res. 2008; 31(9):1765-71. DOI: 10.1291/hypres.31.1765. View

10.

Turner B, Hecht F . Improving on a coin toss to predict patient adherence to medications. Ann Intern Med. 2001; 134(10):1004-6. DOI: 10.7326/0003-4819-134-10-200105150-00015. View

11.

Haynes R, McDonald H, Garg A . Helping patients follow prescribed treatment: clinical applications. JAMA. 2002; 288(22):2880-3. DOI: 10.1001/jama.288.22.2880. View

12.

DiMatteo M . Future directions in research on consumer-provider communication and adherence to cancer prevention and treatment. Patient Educ Couns. 2003; 50(1):23-6. DOI: 10.1016/s0738-3991(03)00075-2. View

13.

Barfod T, Hecht F, Rubow C, Gerstoft J . Physicians' communication with patients about adherence to HIV medication in San Francisco and Copenhagen: a qualitative study using Grounded Theory. BMC Health Serv Res. 2006; 6:154. PMC: 1702356. DOI: 10.1186/1472-6963-6-154. View

14.

Leventhal H, Weinman J, Leventhal E, Phillips L . Health Psychology: the Search for Pathways between Behavior and Health. Annu Rev Psychol. 2007; 59:477-505. DOI: 10.1146/annurev.psych.59.103006.093643. View

15.

Bogart L, Kelly J, Catz S, Sosman J . Impact of medical and nonmedical factors on physician decision making for HIV/AIDS antiretroviral treatment. J Acquir Immune Defic Syndr. 2000; 23(5):396-404. DOI: 10.1097/00126334-200004150-00006. View

16.

Meyer D, Leventhal H, Gutmann M . Common-sense models of illness: the example of hypertension. Health Psychol. 1985; 4(2):115-35. DOI: 10.1037//0278-6133.4.2.115. View

17.

Wurst K, Sleath B, Konrad T . Physicians' perceptions of factors influencing adherence to antibiotic prophylaxis in children with sickle cell disease. Curr Ther Res Clin Exp. 2014; 64(2):116-26. PMC: 4052988. DOI: 10.1016/S0011-393X(03)00016-X. View

18.

Pickering T, James G, Boddie C, Harshfield G, Blank S, LARAGH J . How common is white coat hypertension?. JAMA. 1988; 259(2):225-8. View

19.

Gross R, Bilker W, Friedman H, Coyne J, Strom B . Provider inaccuracy in assessing adherence and outcomes with newly initiated antiretroviral therapy. AIDS. 2002; 16(13):1835-7. DOI: 10.1097/00002030-200209060-00021. View

20.

Wagner J, Justice A, Chesney M, Sinclair G, Weissman S, Rodriguez-Barradas M . Patient- and provider-reported adherence: toward a clinically useful approach to measuring antiretroviral adherence. J Clin Epidemiol. 2001; 54 Suppl 1:S91-8. DOI: 10.1016/s0895-4356(01)00450-4. View