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                                                                                   weighted equally. All subscales had acceptable reliabili-
              RESEARCH LETTER                                                      ties (Cronbach ␣Ն.75). Average scores of 5 or more on
                                                                                   each subscale were categorized as positive, and scores be-
              ONLINE FIRST                                                         low 5 were categorized as negative.
                                                                                       For the dichotomous variables, we used the related-
              Communicating With Physicians About                                  samples Cochran Q test to assess within-group differ-
              Medical Decisions: A Reluctance                                      ences. We used logistic regression to test whether any
              to Disagree                                                          of the covariates predicted intention to engage in shared
                                                                                   decision-making communication behaviors.


              E        ffective patient-physician communication is es-
                       sential for shared decision making, considered
                       by some to be the “pinnacle” of patient-
              centered care.1 Many health care decisions have mul-
              tiple options and no correct choice. These are called pref-
                                                                                   Results. Participants were mostly white, most between
                                                                                   40 and 60 years old, with roughly an even mix of men
                                                                                   and women. Survey respondents were highly educated,
                                                                                   42.6% having completed college or graduate study. Many
              erence-sensitive decisions, and the optimal decision is one          were retired, and only 46.9% were currently employed.
              that takes into account patient preferences and values in            Nearly all were currently insured (89.6%), with most hav-
              a collaborative process with the physician, known as                 ing been seen by a physician within the last 6 months
              shared decision making. We sought to describe patients’              (80.3%). Thirty-eight percent had a chronic ailment, and
              intentions to engage in shared decision-making commu-                16% of the sample reported a history of heart disease. A
              nication behaviors in response to a hypothetical prefer-             minority held either an autonomous or passive decision-
              ence-sensitive clinical scenario and to examine the ef-              making role preference: 11.1% felt that they should be
              fects of underlying patient beliefs on these behaviors.              mostly responsible for treatment decision making, while
                                                                                   19.3% felt that the physician should be mostly respon-
                                                                                   sible. Almost 70% preferred a shared decision-making role,
                               See related articles                                with patients and physicians contributing equally to treat-
                                                                                   ment decision making.
              Methods. An online panel of 1340 patients older than 40                  Nearly all patients could envision asking questions
              years who had visited a physician within the last year read          (93.1%) and discussing preferences (94.0%); few, how-
              a hypothetical scenario about treatment of heart disease and         ever, would voice disagreement with their physician if
              were surveyed about 3 behaviors key to reaching a shared             their preferences conflicted with physician recommen-
              decision: (1) asking questions, (2) discussing prefer-               dations (14.0%) (PϽ.001) (Figure). While most felt that
              ences, and (3) voicing disagreement, when relevant. The              they had the ability to disagree (79.0% reported self-
              survey was theoretically grounded and drew on the psy-               efficacy for disagreeing), few thought that disagreement
              chosocial constructs of the Integrative Model of Behav-              with their physician was socially acceptable (14.0%) or
                                                                                   would lead to good outcomes (15.2%) (PϽ .001).
              ioral Prediction,2,3 which posits that 3 respondent charac-
              teristics influence, for purposes of our study, a patient’s
              intention to engage in a health-related communication be-
              havior: (1) patient attitudes, (2) patient-perceived social                               100
                                                                                                                 93.1%         94.0%
              norms, and (3) patient self-efficacy. Patient attitudes re-                                90

              flect the patient’s expectation, or lack thereof, that a com-                              80
              munication behavior will result in a positive outcome. Pa-                                 70
                                                                                       Respondents, %




              tient-perceived social norms indicate whether the patient                                  60
              considers a communication behavior to be socially accept-                                  50
              able to peers and important others. Finally, patient self-
                                                                                                         40
              efficacy reflects the patient’s belief that he or she has the
                                                                                                         30
              skills and capacity to carry out the communication behav-
              ior if desired. Questions were formulated from extensive                                   20                                        14.0%
              qualitative focus group data and tested and refined through                                10
                                                                                                                                                           P < .001
              iterative cognitive interviews.4                                                            0
                                                                                                                Would Ask   Would Discuss      Would Express
                  Behavioral intentions and attitudes were measured with                                        Questions    Preferences    Disagreement, If Felt
              2 items each. Perceived social norms and self-efficacy were
              measured with 3 items each. Each survey question re-                 Figure. Percentage of participants who would ask questions of, discuss
              sponse was measured on a 7-point Likert scale and                    preferences with, or express disagreement to their physician when relevant.


                                       ARCH INTERN MED       PUBLISHED ONLINE JULY 9, 2012                    WWW.ARCHINTERNMED.COM
                                                                              E1

                                                    ©2012 American Medical Association. All rights reserved.
Downloaded From: http://archinte.jamanetwork.com/ on 07/11/2012
In logistic regression analyses, demographic charac-              sity of California, San Francisco, California (Dr Ad-
              teristics—including age, race, education, income, Charl-             ams); The Dartmouth Center for Health Care Delivery
              son comorbidity index,5 and heart disease—did not pre-               Science, Hanover, New Hampshire and Institute of Pri-
              dict a reluctance to disagree. Despite considerable                  mary Care and Public Health, School of Medicine, Car-
              statistical power, only global preference for decision-              diff University, Cardiff, Wales (Dr Elwyn); Department
              making roles significantly correlated with a partici-                of Family Medicine and Emergency Medicine, Univer-
              pant’s intention to disagree. Participants who preferred             site Laval, Quebec, Canada (Dr Legare); Division of Gen-
                                                                                       ´          ´                  ´ ´
              to make their own medical decisions (an autonomous de-               eral Internal Medicine & Health Services Research, De-
              cision-making role) were twice as likely to intend to ex-            partment of Medicine, University of California, Los
              press their disagreement with preference-incongruent rec-            Angeles, California (Dr Frosch).
              ommendations from their physician. Several beliefs,                  Correspondence: Dr Frosch, Department of Health Ser-
              however, were found to underpin the reluctance to dis-               vices Research, Palo Alto Medical Foundation Research
              agree. Among participants who would not disagree with                Institute, 795 El Camino Real, Palo Alto, CA 94301
              their physician, 47.2% feared being seen as a difficult pa-          (froschd@pamfri.org).
              tient; 40.0% thought that disagreement would damage                  Financial Disclosure: None reported.
              their relationship with their physician; and 51.5% wor-              Author Contributions: Study concept and design: Elwyn,
              ried that it might interfere with getting the care that they         Legare, and Frosch. Acquisition of data: Frosch. Analysis
                                                                                     ´ ´
              wanted.                                                              and interpretation of data: Adams, Legare, and Frosch.
                                                                                                                         ´ ´
                                                                                   Drafting of the manuscript: Adams. Critical revision of the
              Comment. A reluctance, indeed a fear, to disagree ap-                manuscript for important intellectual content: Adams, El-
              pears to be a significant barrier to shared decision mak-            wyn, Legare, and Frosch. Statistical analysis: Adams. Ob-
                                                                                           ´ ´
              ing that is present across all sociodemographic strata. To           tained funding: Elwyn, Legare, and Frosch. Study super-
                                                                                                             ´ ´
              our knowledge, a patient-held fear to voice disagree-                vision: Frosch.
              ment has not been found or examined in previous re-                  Funding/Support: This work was funded by unre-
              search, and yet it is a major challenge to making prog-              stricted grant 0140 from the Informed Medical Deci-
              ress toward shared decision making. Reluctance to express            sions Foundation (Dr Frosch).
              disagreement in the office may correlate with poor ad-               Previous Presentation: This research was presented in
              herence outside the office.6 Limitations of this study in-           part at the 33rd Annual Meeting of the Society for
              clude the use of a large convenience sample and a hypo-              Medical Decision Making; October 24, 2011; Chicago,
              thetical scenario. The findings point to the need to test            Illinois.
              interventions that explicitly allow patients to voice dis-
              agreement with their physicians. This may well require
              attitude changes as well as behavior change.                         1. Barry MJ, Edgman-Levitan S. Shared decision making: pinnacle of patient-
                                                                                      centered care. N Engl J Med. 2012;366(9):780-781.
                                                                                   2. Fishbein M. The role of theory in HIV prevention. AIDS Care. 2000;12(3):273-
                               Jared R. Adams, MD, PhD                                278.
                               Glyn Elwyn, MB, BCh, MSc, FRCGP, PhD                3. Frosch DL, Legare F, Fishbein M, Elwyn G. Adjuncts or adversaries to shared
                                                                                                    ´ ´
                               France Legare, MD, PhD, CCFP, FCFP
                                        ´ ´                                           decision-making? applying the Integrative Model of behavior to the role and
                                                                                      design of decision support interventions in healthcare interactions. Imple-
                               Dominick L. Frosch, PhD                                ment Sci. 2009;4:73.
                                                                                   4. Frosch DL, May SG, Rendle KA, Tietbohl C, Elwyn G. Authoritarian physi-
              Published Online: July 9, 2012. doi:10.1001                             cians and patients’ fear of being labeled “difficult” among key obstacles to shared
                                                                                      decision making. Health Aff (Millwood). 2012;31(5):1030-1038.
              /archinternmed.2012.2360                                             5. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classify-
              Author Affiliations: Department of Health Services Re-                  ing prognostic comorbidity in longitudinal studies: development and validation.
              search, Palo Alto Medical Foundation Research Insti-                    J Chronic Dis. 1987;40(5):373-383.
                                                                                   6. Lin GA, Trujillo L, Frosch DL. Consequences of not respecting patient pref-
              tute, Palo Alto, California (Drs Adams and Frosch); UCSF                erences for cancer screening: opportunity lost. Arch Intern Med. 2012;172
              Philip R. Lee Institute for Health Policy Studies, Univer-              (5):393-394.




                                       ARCH INTERN MED       PUBLISHED ONLINE JULY 9, 2012       WWW.ARCHINTERNMED.COM
                                                                              E2

                                                    ©2012 American Medical Association. All rights reserved.
Downloaded From: http://archinte.jamanetwork.com/ on 07/11/2012

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Communicating with physicians about medical decisions frosch archives

  • 1. EDITOR’S CORRESPONDENCE weighted equally. All subscales had acceptable reliabili- RESEARCH LETTER ties (Cronbach ␣Ն.75). Average scores of 5 or more on each subscale were categorized as positive, and scores be- ONLINE FIRST low 5 were categorized as negative. For the dichotomous variables, we used the related- Communicating With Physicians About samples Cochran Q test to assess within-group differ- Medical Decisions: A Reluctance ences. We used logistic regression to test whether any to Disagree of the covariates predicted intention to engage in shared decision-making communication behaviors. E ffective patient-physician communication is es- sential for shared decision making, considered by some to be the “pinnacle” of patient- centered care.1 Many health care decisions have mul- tiple options and no correct choice. These are called pref- Results. Participants were mostly white, most between 40 and 60 years old, with roughly an even mix of men and women. Survey respondents were highly educated, 42.6% having completed college or graduate study. Many erence-sensitive decisions, and the optimal decision is one were retired, and only 46.9% were currently employed. that takes into account patient preferences and values in Nearly all were currently insured (89.6%), with most hav- a collaborative process with the physician, known as ing been seen by a physician within the last 6 months shared decision making. We sought to describe patients’ (80.3%). Thirty-eight percent had a chronic ailment, and intentions to engage in shared decision-making commu- 16% of the sample reported a history of heart disease. A nication behaviors in response to a hypothetical prefer- minority held either an autonomous or passive decision- ence-sensitive clinical scenario and to examine the ef- making role preference: 11.1% felt that they should be fects of underlying patient beliefs on these behaviors. mostly responsible for treatment decision making, while 19.3% felt that the physician should be mostly respon- sible. Almost 70% preferred a shared decision-making role, See related articles with patients and physicians contributing equally to treat- ment decision making. Methods. An online panel of 1340 patients older than 40 Nearly all patients could envision asking questions years who had visited a physician within the last year read (93.1%) and discussing preferences (94.0%); few, how- a hypothetical scenario about treatment of heart disease and ever, would voice disagreement with their physician if were surveyed about 3 behaviors key to reaching a shared their preferences conflicted with physician recommen- decision: (1) asking questions, (2) discussing prefer- dations (14.0%) (PϽ.001) (Figure). While most felt that ences, and (3) voicing disagreement, when relevant. The they had the ability to disagree (79.0% reported self- survey was theoretically grounded and drew on the psy- efficacy for disagreeing), few thought that disagreement chosocial constructs of the Integrative Model of Behav- with their physician was socially acceptable (14.0%) or would lead to good outcomes (15.2%) (PϽ .001). ioral Prediction,2,3 which posits that 3 respondent charac- teristics influence, for purposes of our study, a patient’s intention to engage in a health-related communication be- havior: (1) patient attitudes, (2) patient-perceived social 100 93.1% 94.0% norms, and (3) patient self-efficacy. Patient attitudes re- 90 flect the patient’s expectation, or lack thereof, that a com- 80 munication behavior will result in a positive outcome. Pa- 70 Respondents, % tient-perceived social norms indicate whether the patient 60 considers a communication behavior to be socially accept- 50 able to peers and important others. Finally, patient self- 40 efficacy reflects the patient’s belief that he or she has the 30 skills and capacity to carry out the communication behav- ior if desired. Questions were formulated from extensive 20 14.0% qualitative focus group data and tested and refined through 10 P < .001 iterative cognitive interviews.4 0 Would Ask Would Discuss Would Express Behavioral intentions and attitudes were measured with Questions Preferences Disagreement, If Felt 2 items each. Perceived social norms and self-efficacy were measured with 3 items each. Each survey question re- Figure. Percentage of participants who would ask questions of, discuss sponse was measured on a 7-point Likert scale and preferences with, or express disagreement to their physician when relevant. ARCH INTERN MED PUBLISHED ONLINE JULY 9, 2012 WWW.ARCHINTERNMED.COM E1 ©2012 American Medical Association. All rights reserved. Downloaded From: http://archinte.jamanetwork.com/ on 07/11/2012
  • 2. In logistic regression analyses, demographic charac- sity of California, San Francisco, California (Dr Ad- teristics—including age, race, education, income, Charl- ams); The Dartmouth Center for Health Care Delivery son comorbidity index,5 and heart disease—did not pre- Science, Hanover, New Hampshire and Institute of Pri- dict a reluctance to disagree. Despite considerable mary Care and Public Health, School of Medicine, Car- statistical power, only global preference for decision- diff University, Cardiff, Wales (Dr Elwyn); Department making roles significantly correlated with a partici- of Family Medicine and Emergency Medicine, Univer- pant’s intention to disagree. Participants who preferred site Laval, Quebec, Canada (Dr Legare); Division of Gen- ´ ´ ´ ´ to make their own medical decisions (an autonomous de- eral Internal Medicine & Health Services Research, De- cision-making role) were twice as likely to intend to ex- partment of Medicine, University of California, Los press their disagreement with preference-incongruent rec- Angeles, California (Dr Frosch). ommendations from their physician. Several beliefs, Correspondence: Dr Frosch, Department of Health Ser- however, were found to underpin the reluctance to dis- vices Research, Palo Alto Medical Foundation Research agree. Among participants who would not disagree with Institute, 795 El Camino Real, Palo Alto, CA 94301 their physician, 47.2% feared being seen as a difficult pa- (froschd@pamfri.org). tient; 40.0% thought that disagreement would damage Financial Disclosure: None reported. their relationship with their physician; and 51.5% wor- Author Contributions: Study concept and design: Elwyn, ried that it might interfere with getting the care that they Legare, and Frosch. Acquisition of data: Frosch. Analysis ´ ´ wanted. and interpretation of data: Adams, Legare, and Frosch. ´ ´ Drafting of the manuscript: Adams. Critical revision of the Comment. A reluctance, indeed a fear, to disagree ap- manuscript for important intellectual content: Adams, El- pears to be a significant barrier to shared decision mak- wyn, Legare, and Frosch. Statistical analysis: Adams. Ob- ´ ´ ing that is present across all sociodemographic strata. To tained funding: Elwyn, Legare, and Frosch. Study super- ´ ´ our knowledge, a patient-held fear to voice disagree- vision: Frosch. ment has not been found or examined in previous re- Funding/Support: This work was funded by unre- search, and yet it is a major challenge to making prog- stricted grant 0140 from the Informed Medical Deci- ress toward shared decision making. Reluctance to express sions Foundation (Dr Frosch). disagreement in the office may correlate with poor ad- Previous Presentation: This research was presented in herence outside the office.6 Limitations of this study in- part at the 33rd Annual Meeting of the Society for clude the use of a large convenience sample and a hypo- Medical Decision Making; October 24, 2011; Chicago, thetical scenario. The findings point to the need to test Illinois. interventions that explicitly allow patients to voice dis- agreement with their physicians. This may well require attitude changes as well as behavior change. 1. Barry MJ, Edgman-Levitan S. Shared decision making: pinnacle of patient- centered care. N Engl J Med. 2012;366(9):780-781. 2. Fishbein M. The role of theory in HIV prevention. AIDS Care. 2000;12(3):273- Jared R. Adams, MD, PhD 278. Glyn Elwyn, MB, BCh, MSc, FRCGP, PhD 3. Frosch DL, Legare F, Fishbein M, Elwyn G. Adjuncts or adversaries to shared ´ ´ France Legare, MD, PhD, CCFP, FCFP ´ ´ decision-making? applying the Integrative Model of behavior to the role and design of decision support interventions in healthcare interactions. Imple- Dominick L. Frosch, PhD ment Sci. 2009;4:73. 4. Frosch DL, May SG, Rendle KA, Tietbohl C, Elwyn G. Authoritarian physi- Published Online: July 9, 2012. doi:10.1001 cians and patients’ fear of being labeled “difficult” among key obstacles to shared decision making. Health Aff (Millwood). 2012;31(5):1030-1038. /archinternmed.2012.2360 5. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classify- Author Affiliations: Department of Health Services Re- ing prognostic comorbidity in longitudinal studies: development and validation. search, Palo Alto Medical Foundation Research Insti- J Chronic Dis. 1987;40(5):373-383. 6. Lin GA, Trujillo L, Frosch DL. Consequences of not respecting patient pref- tute, Palo Alto, California (Drs Adams and Frosch); UCSF erences for cancer screening: opportunity lost. Arch Intern Med. 2012;172 Philip R. Lee Institute for Health Policy Studies, Univer- (5):393-394. ARCH INTERN MED PUBLISHED ONLINE JULY 9, 2012 WWW.ARCHINTERNMED.COM E2 ©2012 American Medical Association. All rights reserved. Downloaded From: http://archinte.jamanetwork.com/ on 07/11/2012