Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Vicarious Experience Affects Patients' Treatment Preferences for Depression

  • Seth A. Berkowitz ,

    Seth.Berkowitz@ucsf.edu

    Affiliation Division of General Internal Medicine, University of California San Francisco, San Francisco, California, United States of America

  • Robert A. Bell,

    Affiliations Department of Communication, University of California Davis, Davis, California, United States of America, Department of Public Health Sciences, University of California Davis, Davis, California, United States of America

  • Richard L. Kravitz,

    Affiliation Division of General Medicine, University of California Davis, Sacramento, California, United States of America

  • Mitchell D. Feldman

    Affiliation Division of General Internal Medicine, University of California San Francisco, San Francisco, California, United States of America

Abstract

Purpose

Depression is common in primary care but often under-treated. Personal experiences with depression can affect adherence to therapy, but the effect of vicarious experience is unstudied. We sought to evaluate the association between a patient's vicarious experiences with depression (those of friends or family) and treatment preferences for depressive symptoms.

Methods

We sampled 1054 English and/or Spanish speaking adult subjects from July through December 2008, randomly selected from the 2008 California Behavioral Risk Factor Survey System, regarding depressive symptoms and treatment preferences. We then constructed a unidimensional scale using item analysis that reflects attitudes about antidepressant pharmacotherapy. This became the dependent variable in linear regression analyses to examine the association between vicarious experiences and treatment preferences for depressive symptoms.

Results

Our sample was 68% female, 91% white, and 13% Hispanic. Age ranged from 18–94 years. Mean PHQ-9 score was 4.3; 14.5% of respondents had a PHQ-9 score >9.0, consistent with active depressive symptoms. Analyses controlling for current depression symptoms and socio-demographic factors found that in patients both with (coefficient 1.08, p = 0.03) and without (coefficient 0.77, p = 0.03) a personal history of depression, having a vicarious experience (family and friend, respectively) with depression is associated with a more favorable attitude towards antidepressant medications.

Conclusions

Patients with vicarious experiences of depression express more acceptance of pharmacotherapy. Conversely, patients lacking vicarious experiences of depression have more negative attitudes towards antidepressants. When discussing treatment with patients, clinicians should inquire about vicarious experiences of depression. This information may identify patients at greater risk for non-adherence and lead to more tailored patient-specific education about treatment.

Introduction

Depression is common in primary care but often goes unrecognized and under-treated, with only one-fifth of patients receiving guideline concordant care [1]. Even when the diagnosis is made and treatment is initiated, as few as 25% of patients adhere to their prescribed antidepressants [1]. Low adherence to effective therapies contributes to needless patient suffering, and results in wasted time and health care expenditures.

Prior studies have examined the predictors of poor adherence [2], [3], [4], [5] and have tested various interventions aimed at improving patient adherence with antidepressant treatment [1], [6]. Notably, collaborative care models [7], [8] have demonstrated benefit by intervening on both clinician and patient level barriers to adherence. In spite of these gains, adherence to antidepressant treatment for most patients remains inadequate. Primary care physicians need better tools to identify patient attitudes and preferences for treatment that can then inform strategies for patient-specific education about antidepressants. Treatment strategies that incorporate patient preferences increase the likelihood that a patient will enter treatment, adhere to prescribed regimens, [9] and show clinical benefit [10], [11]. The determinants of patient treatment preferences for depression, however, are less well studied.

Learning theory suggests that a patient's positive past experience with depression treatment should increase motivation to seek the same or similar treatment [12]. Similarly, social cognitive theory predicts that successfully accomplishing a task should boost self-efficacy to accomplish similar tasks in the future [13], [14], [15]. Moreover, social cognitive theory posits that vicarious experience has similar effects on self-efficacy. In this context, we are considering vicarious experience to be the experience, observed by the patient, of a friend or family member with depression. Our group reported previously that physicians' vicarious experiences with depression treatment influence their attitudes and management [16], [17]. In this study, we examined whether patients' vicarious experiences with depression treatment, i.e., having a close friend or family member who had undergone treatment for depression, would lead to a more favorable attitude towards treatment.

This study was approved by the University of California, Davis, Office of Research, Institutional Review Board (IRB).

Methods

Ethics Statement

All co-authors of this study affirm that the research was conducted in accordance with the principles expressed in the Declaration of Helsinki. Approval to conduct this research was granted by the University of California, Davis, Office of Research, Institutional Review Board (IRB) and the University of California, San Francisco Committee on Human Research (CHR). Informed consent was obtained for all participants.

We conducted a telephone follow-up of 1054 English and Spanish speaking adult subjects from July through December 2008, randomly selected from the pool of respondents who had completed the 2008 California Behavioral Risk Factor Survey System (BRFSS). The methodology of the BRFSS has been reported elsewhere [18]. Because the focus of the current survey was on attitudes toward and experience with depression, subjects with a history of depression were over-sampled (approximately threefold) to yield an adequate sample size for those with a depression history. Respondents were asked a set of questions about their depression-related beliefs. From these responses we constructed an outcome measure of attitude towards antidepressant therapy based on 6 items (Cronbach's alpha = .78) (Appendix S1: Item Analysis for Outcome Variable). These items were selected based on a factorial analysis demonstrating unidimensionality, with all items having factor loadings ≥.65. This outcome variable had possible scores from 6 to 30, with a higher value representing a more positive attitude towards antidepressants.

Respondents were also asked if they had ever been treated for depression and completed the PHQ-9, a measure of current depressive symptoms [19]. Those individuals who were undergoing treatment at the time of the survey or had ever been treated for depression in the past were asked to rate the success of their treatment on a 3-point scale (1 = not very successful, 2 = somewhat successful, 3 = very successful). Vicarious experiences with depression were assessed with two questions about whether the respondent knew of a friend or family member who had been treated for depression. Responses to these items were coded dichotomously (no or yes).

Standard demographic variables were assessed to characterize the sample and as statistical controls. These included gender, age, race (nonwhite/white), Hispanic cultural identification, education, income, and relationship status. Healthcare status was addressed by asking if the respondent had health insurance and a regular source of primary care. Descriptive statistics were used to characterize the sample. Because presumably patients who have a personal history of depression think about treatment from a fundamentally different perspective than those who do not, separate linear regression analyses were carried out for individuals with versus without a history of depression to evaluate the relationship of having a friend or family member with a depression history on attitudes toward antidepressant treatment. Analyses were performed using STATA 11.1 (College Station, TX).

Results

Table 1 reports sample demographic and health characteristics. Our sample was 68% female, 91% white, and 13% Hispanic (patients could self-identify as both white and Hispanic). Respondents ranged in age from 18–94 (mean: 56.4 years). A majority were married or were in a committed relationship (55%); 52% had graduated from college, and 42% had an annual household income under $50,000/year. Almost half of respondents (45%) had been treated for depression and 21% were undergoing treatment at the time of the survey. Many respondents reported knowing a friend (64%) or family member (53%) who had undergone treatment for depression. Most had health insurance (93%) and a regular source of health care (88%). The mean PHQ-9 score was 4.33. Approximately 15% of respondents had a PHQ-9 score >9.0 at the time of the survey, consistent with active depressive symptoms [19].

Separate analyses were carried out for respondents with versus without a personal history of depression. In both analyses, we controlled for current depression symptoms and socio-demographic factors. In respondents both with (coefficient 0.90, p = 0.15) and without (coefficient 0.96, p = 0.005) a personal history of depression, having a vicarious experience with depression, that is, knowing a friend or family member treated for depression, was associated with a more favorable attitude towards antidepressant medications.

To further delineate the relationship between vicarious experience and treatment preferences, we then performed a more detailed regression to examine separately the influence of friend and family experience. Results are presented in table 2. For respondents with a personal history of depression, having a family member who had been treated for depression was associated with having a positive attitude toward antidepressant medications (coefficient 1.08, p = 0.03). However, among respondents with no personal history of depression, having a friend who had been treated for depression was associated with having a positive attitude toward antidepressant medication (coefficient 0.77, p = 0.03). Additionally, a history of prior treatment with antidepressant medication is strongly associated with having a more favorable attitude to antidepressants. Interestingly, a higher PHQ-9 score is negatively associated with attitudes towards anti-depressants, suggesting that those who are more depressed are less favorably inclined towards medication.

thumbnail
Table 2. Results of linear regression analyses predicting attitude toward antidepressants with subgroups of vicarious experience of depression for respondents with and without a history of depression.

https://doi.org/10.1371/journal.pone.0031269.t002

Discussion

This investigation suggests that having a vicarious experience with depression may lead to a more positive attitude towards treatment with antidepressant medications. Specifically, having a family member who had been treated for depression was associated with positive attitudes toward antidepressants for respondents with a history of depression. In contrast, for respondents with no history of depression treatment, having a friend with a history of depression was associated with positive attitudes toward antidepressant medications. These findings support our hypothesis, based on learning and social cognitive theory, that both personal past experiences and the experiences of others can significantly affected attitudes towards treatment.

Patients who have taken antidepressant medication in the past have a highly favorable attitude towards antidepressants. This is consistent with other work which has shown an favorable attitude towards treatment for those who have been prescribed or are currently taking anti-depressants [20],. Prior research suggests that those with positive attitudes towards antidepressants are more likely to be adherent [21] and that as treatments more closely match patient preferences, adherence is increased [10].

Interestingly, we also found that higher scores on the PHQ-9 are associated with more negative attitudes. As past work has shown that those with negative attitudes towards treatment have decreased adherence [22], this suggests that those who might benefit most from treatment, those most depressed [23], might be a group at particular risk for non-adherence. Every effort should be made to engage these patients in evidence based therapies.

Busy clinicians, especially in primary care, often face multiple demands for their time. We feel the ideal time to discuss vicarious experiences with depression treatment with a patient is when a clinician is considering initiation of treatment. This can be incorporated into routine counseling and anticipatory guidance around starting a new medication. Open-ended statements encourage patients to share details about their own experiences. For example, clinicians could say “Do you know anyone who has had depression?” or “Tell me about people you have known with depression”. Once obtained, this information can help identify patients at greater risk for non-adherence and be used to tailor patient-specific education about treatment.

It is curious that patients with a personal history of depression are influenced differently by their vicarious experience compared to those with no personal history. Patients with a personal and family history of depression may view their condition as more attributable to heredity and thus be open to a biomedical perspective, one that views pharmacological treatment favorably. In contrast, a person with no history of depression may see the depression experiences of a friend as being more informative than the experience of a family member. It should be noted, however, that although the association between attitudes toward antidepressant medications and having a family member who had been treated for depression for this group of respondents missed statistical significance, the relationship was in the anticipated direction. How vicarious experience mediates attitudes toward treatment for depressive symptoms is unknown. One possible mechanism may lie through the reduction of stigma. Prior studies of vicarious experience have noted that people who have a friend or family member with depression rate lower on measures of stigma (such as regarding depression as a ‘real’ illness, or feeling that a person with depression could “get better if they wanted”) than those without such an experience [24].

This study has several limitations. First, our outcome was a psychometric measure of attitudes towards antidepressants derived from survey data. It was not validated or assessed for reliability in other populations, and was not a clinical measure. Thus we cannot be sure how the associated positive regard will translate in the office setting. Second, our data are cross-sectional and thus can demonstrate an association between vicarious experience and treatment attitudes, but not a causal link. Third, compared to the BRFSS survey sample as a whole [25], which is representative of California, our sample was generally older and had higher income than the general population. Although we controlled for age and income in our analysis, this may limit generalizability to other settings.

In summary, patients who lack personal or vicarious experiences with depression tend to have negative attitudes towards antidepressants. Conversely, having such experience may facilitate acceptance of pharmacotherapy. Future research should focus on strategies that utilize knowledge of patient characteristics to boost treatment adherence.

Supporting Information

Appendix S1.

Item Analysis for Outcome Variable.

https://doi.org/10.1371/journal.pone.0031269.s001

(DOC)

Author Contributions

Conceived and designed the experiments: RAB RLK MDF. Performed the experiments: RAB RLK. Analyzed the data: SAB RAB. Contributed reagents/materials/analysis tools: SAB RAB RLK. Wrote the paper: SAB RAB RLK MDF.

References

  1. 1. Trivedi MH, Lin EH, Katon WJ (2007) Consensus recommendations for improving adherence, self-management, and outcomes in patients with depression. CNS Spectr 12: 1–27.
  2. 2. Bambauer KZ, Soumerai SB, Adams AS, Zhang F, Ross-Degnan D (2007) Provider and patient characteristics associated with antidepressant nonadherence: the impact of provider specialty. J Clin Psychiatry 68: 867–873.
  3. 3. Burra TA, Chen E, McIntyre RS, Grace SL, Blackmore ER, et al. (2007) Predictors of self-reported antidepressant adherence. Behav Med 32: 127–134.
  4. 4. Shigemura J, Ogawa T, Yoshino A, Sato Y, Nomura S (2010) Predictors of antidepressant adherence: results of a Japanese Internet-based survey. Psychiatry Clin Neurosci 64: 179–186.
  5. 5. Demyttenaere K (2003) Risk factors and predictors of compliance in depression. Eur Neuropsychopharmacol 13: Suppl 3S69–75.
  6. 6. Anne Sirey J, Bruce ML, Kales HC (2010) Improving Antidepressant Adherence and Depression Outcomes in Primary Care: The Treatment Initiation and Participation (TIP) Program. Am J Geriatr Psychiatry 18: 554–562.
  7. 7. Christensen H, Griffiths KM, Gulliver A, Clack D, Kljakovic M, et al. (2008) Models in the delivery of depression care: a systematic review of randomised and controlled intervention trials. BMC Fam Pract 9: 25.
  8. 8. Katon WJ, Lin EH, Von Korff M, Ciechanowski P, Ludman EJ, et al. (2010) Collaborative care for patients with depression and chronic illnesses. N Engl J Med 363: 2611–2620.
  9. 9. Dwight-Johnson M, Unutzer J, Sherbourne C, Tang L, Wells KB (2001) Can quality improvement programs for depression in primary care address patient preferences for treatment? Med Care 39: 934–944.
  10. 10. Loh A, Leonhart R, Wills CE, Simon D, Harter M (2007) The impact of patient participation on adherence and clinical outcome in primary care of depression. Patient Educ Couns 65: 69–78.
  11. 11. Vergouwen AC, Bakker A, Katon WJ, Verheij TJ, Koerselman F (2003) Improving adherence to antidepressants: a systematic review of interventions. J Clin Psychiatry 64: 1415–1420.
  12. 12. Yannacci J, Roberts KA, Ganju VK (2006) Principles from Adult Learning Theory, Evidence-Based Teaching, and Visual Marketing: What are the Implications for Toolkit Development? National Association of State Mental Health Program Directors Research Institute.
  13. 13. Bandura A (2004) Health promotion by social cognitive means. Health Educ Behav 31: 143–164.
  14. 14. Bandura A (1997) Self-efficacy: the exercise of control. New York: Freeman.
  15. 15. Bandura A (1986) Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
  16. 16. Feldman MD, Franks P, Duberstein PR, Vannoy S, Epstein R, et al. (2007) Let's not talk about it: suicide inquiry in primary care. Ann Fam Med 5: 412–418.
  17. 17. Kravitz RL, Franks P, Feldman M, Meredith LS, Hinton L, et al. (2006) What drives referral from primary care physicians to mental health specialists? A randomized trial using actors portraying depressive symptoms. J Gen Intern Med 21: 584–589.
  18. 18. Kilmer G, Roberts H, Hughes E, Li Y, Valluru B, et al. (2008) Surveillance of certain health behaviors and conditions among states and selected local areas–Behavioral Risk Factor Surveillance System (BRFSS), United States, 2006. MMWR Surveill Summ 57: 1–188.
  19. 19. Kroenke K, Spitzer RL, Williams JB (2001) The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16: 606–613.
  20. 20. Holma IA, Holma KM, Melartin TK, Isometsa ET (2010) Treatment attitudes and adherence of psychiatric patients with major depressive disorder: a five-year prospective study. J Affect Disord 127: 102–112.
  21. 21. Lin EH, Von Korff M, Ludman EJ, Rutter C, Bush TM, et al. (2003) Enhancing adherence to prevent depression relapse in primary care. Gen Hosp Psychiatry 25: 303–310.
  22. 22. Chakraborty K, Avasthi A, Kumar S, Grover S (2009) Attitudes and beliefs of patients of first episode depression towards antidepressants and their adherence to treatment. Soc Psychiatry Psychiatr Epidemiol 44: 482–488.
  23. 23. Fournier JC, DeRubeis RJ, Hollon SD, Dimidjian S, Amsterdam JD, et al. (2010) Antidepressant drug effects and depression severity: a patient-level meta-analysis. JAMA 303: 47–53.
  24. 24. Wang J, Lai D (2008) The relationship between mental health literacy, personal contacts and personal stigma against depression. J Affect Disord 110: 191–196.
  25. 25. BRFSS (2009) California Behavioral Risk Factor Surveillance Survey.