BACKGROUND: An estimated 20-50% of patients do not take medications as recommended. Accepting a doctor's recommendation is the first step in medication adherence, yet little is known about patients' beliefs and preferences about how medications are prescribed. OBJECTIVE: To explore patients' beliefs and preferences about medication prescribing to understand factors that might affect medication adherence. METHODS: Fifty members from 2 health plans in Massachusetts participated in in-depth telephone interviews. Participants listened to an audio-vignette of a doctor prescribing a medication to a patient and were asked a series of questions related to the vignette. Responses were reviewed in an iterative process to identify themes related to participants' beliefs and preferences about medication prescribing. RESULTS: Participants' beliefs and preferences about medication prescribing encompassed 3 major areas: patient-doctor relationships, outside influences, and professional expertise. Important findings included participants' concerns about the pharmaceutical industry's influence on doctors' prescribing practices and beliefs that there is a clear "best" medication for most health problems. CONCLUSIONS: Patients' beliefs and preferences about medication prescribing may affect medication adherence. Additional empiric studies that explore whether doctors' relationships with pharmaceutical representatives impact medication adherence by affecting trust are indicated. In addition, it would be worthwhile to explore whether discussions between patients and doctors regarding equipoise (no clear scientific evidence for 1 treatment choice over another) affect medication adherence.
BACKGROUND: An estimated 20-50% of patients do not take medications as recommended. Accepting a doctor's recommendation is the first step in medication adherence, yet little is known about patients' beliefs and preferences about how medications are prescribed. OBJECTIVE: To explore patients' beliefs and preferences about medication prescribing to understand factors that might affect medication adherence. METHODS: Fifty members from 2 health plans in Massachusetts participated in in-depth telephone interviews. Participants listened to an audio-vignette of a doctor prescribing a medication to a patient and were asked a series of questions related to the vignette. Responses were reviewed in an iterative process to identify themes related to participants' beliefs and preferences about medication prescribing. RESULTS:Participants' beliefs and preferences about medication prescribing encompassed 3 major areas: patient-doctor relationships, outside influences, and professional expertise. Important findings included participants' concerns about the pharmaceutical industry's influence on doctors' prescribing practices and beliefs that there is a clear "best" medication for most health problems. CONCLUSIONS:Patients' beliefs and preferences about medication prescribing may affect medication adherence. Additional empiric studies that explore whether doctors' relationships with pharmaceutical representatives impact medication adherence by affecting trust are indicated. In addition, it would be worthwhile to explore whether discussions between patients and doctors regarding equipoise (no clear scientific evidence for 1 treatment choice over another) affect medication adherence.
Authors: Troyen A Brennan; David J Rothman; Linda Blank; David Blumenthal; Susan C Chimonas; Jordan J Cohen; Janlori Goldman; Jerome P Kassirer; Harry Kimball; James Naughton; Neil Smelser Journal: JAMA Date: 2006-01-25 Impact factor: 56.272
Authors: Sarah L Goff; Nwamaka D Eneanya; Rebecca Feinberg; Michael J Germain; Lisa Marr; Joan Berzoff; Lewis M Cohen; Mark Unruh Journal: Clin J Am Soc Nephrol Date: 2015-02-13 Impact factor: 8.237
Authors: Albert J Farias; India J Ornelas; Sarah D Hohl; Steven B Zeliadt; Ryan N Hansen; Christopher I Li; Beti Thompson Journal: Support Care Cancer Date: 2016-08-24 Impact factor: 3.603
Authors: Constance H Fung; Cathy Alessi; Cindy Truong; Karen Josephson; Ron D Hays; Nananda Col; Emily S Patterson; Jennifer L Martin Journal: Behav Sleep Med Date: 2016-05-04 Impact factor: 2.964