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. Author manuscript; available in PMC: 2009 Nov 25.
Published in final edited form as: Ethn Health. 2008 Nov 1;13(5):465–478. doi: 10.1080/13557850802023125

Patient ethnicity and perceptions of families and friends regarding depression treatment

Hillary Bogner 1,*, Larissa N Dobransky 1, Marsha N Wittink 1
PMCID: PMC2782755  NIHMSID: NIHMS150725  PMID: 18850370

Abstract

Objective

Black Americans are less likely than white Americans to seek professional treatment for depression. Whether treatment recommendations are sought and implemented by patients will be influenced by the role families and friends play in diagnostic acceptance and treatment decisions. We investigated the association of ethnicity with the perceived need for treatment of depression by family and friends of older primary care patients.

Design

Cross-sectional survey of 355 older adults with and without significant depressive symptoms was conducted. At the baseline visit, family and friends’ ratings of apathy and need for depression treatment were obtained on 314 of the 355 patients (88% response rate) and examined according to ethnicity. Participants were interviewed using standardized measures of chronic medical conditions, functional status, and psychological status.

Results

Older black patients compared to older white patients were less likely to be rated as needing depression treatment by their family and friends (odds ratio (OR) = 0.34; 95% confidence interval (CI) = [0.18, 0.64]) adjusting for depressive symptoms, cognition, functional status, and other potentially influential characteristics.

Conclusions

Our study suggests that patient ethnicity may play a role in a family member’s or friend’s perceived need for depression treatment of older adults who present in the primary care setting. Further study of attitudes, expectations, and values of patients and family members or friends in primary care settings may help elucidate the interplay of physician, patient, and family member or friend.

Keywords: ethnicity, aged, depression, mental health services, primary health care

Introduction

Epidemiologic and clinical studies over the past two decades have provided ample evidence that the primary care setting is pivotal to improving depression treatment over a population level (Gallo et al. 1995, Gallo et al. 1997, Gallo and Lebowitz 1999). Primary care occupies a strategic position for the evaluation and treatment of depression in late life (Rabins 1992). Black patients are more likely than white patients to seek mental health services in a primary care setting (Gallo et al. 1995, Cooper-Patrick et al. 1999, Wang et al. 2000, Snowden and Pingitore 2002). However, in primary care, depression among black patients is less likely to be appropriately diagnosed (Gallo et al. 1998, Gallo et al. 2005a). In addition, black patients are less likely than white patients to receive effective treatment for depression (Wang et al. 2000, Young et al. 2001). Once depression treatment is initiated, black patients have been reported to be less likely than whites to adhere to medication (Melfi et al. 2000, Bogner et al. 2006), even though black patients respond as well as whites to guideline-based treatments for depression (Brown et al. 1999). Differences in identification and management of depression according to ethnicity have been found to be related to both patient and provider factors (Das et al. 2006). Important barriers to mental health care for black patients include perceptions of stigma, beliefs that life experiences are the cause of depression, that problems should not be discussed outside one’s family, mistrust of health care professionals, and concerns about the effects of psychotropic medication (Millet et al. 1996, Cooper-Patrick et al. 1997, Alvidrez 1999, Bogner et al. in press). Black patients may be more likely to exhibit somatic symptoms of depression, which may complicate detection and diagnosis (Fabrega et al. 1988, Bogner et al. 2005). Furthermore, physician communication style, including the tendency of physicians to minimize emotional expression by blacks, relative to whites, may contribute to lower prescribing of antidepressants (Sleath et al. 1998).

Studies have shown that families play an important role in help seeking for minorities (Lin et al. 1982, Rogler and Cortes 1993, Shin 2002). The use of mental health services by family or friends is a predictor of making a mental health visit (Alvidrez 1999). In a large community sample, researchers found a link between a perception that family members would not approve if an individual sought mental health treatment and lower service use among women with psychiatric disorders (Leaf et al. 1987). There also appear to be ethnic and cultural differences with regard to beliefs that the family shares responsibility for an individual’s problems (Sabogal et al. 1987) or that mental illness is best treated within the family (Edgerton and Karno 1971). However, to date no studies have focused on the association of ethnicity with the perceived need for treatment of depression by family members and friends of older adults.

In the caregiver literature, family caregivers’ reactions and beliefs have been found to influence patients’ level of symptoms, functioning, and depression (Kurtz et al. 1995), and patient and caregiver report of symptoms may not always be in agreement (Kurtz et al. 1996). Research has shown that caregivers’ perceptions of patient’s ability to control depressive symptoms are predictive of recovery from major depression among geriatric inpatients (Casten et al. 1999). Family members play an influential role in management of illness, including adherence to a treatment regimen and adopting other health behaviors that promote function and recovery (Burg and Seeman 1994, Lyons et al. 1995). It follows that how treatment recommendations are received and implemented by patients will be influenced by the role families play in diagnostic acceptance and treatment decisions.

Consistent with current publications of the National Institutes of Health (Office of Research on Women’s Health 2000), we use the term ‘black’ to include individuals of African, African-American, and African-Caribbean descent and ‘white’ to include individuals of European descent. Ethnicity refers to a common heritage shared by a particular group (Zenner 1996). We recognize that designations of ethnic status imply a homogeneity within groups, which is a simplification (Cooper and David 1986, Osborne and Feit 1992). Any differences we observe across ethnic groups are likely to represent measured and unmeasured differences in social class, exposures, health beliefs and practices, and other characteristics (Kaplan and Bennett 2003).

The aim of this investigation was to examine the association of ethnicity with the perceived need for treatment of depression by friends and family of older primary care patients. Our hypothesis was that friends and family of black patients would be less likely to perceive black patients as needing depression treatment. The influence of family and friends on patients’ acceptance of a depression diagnosis and treatment has received little attention in descriptive or intervention research. Yet, patients live in social contexts and expectations, values, and preferences of family and friends may drive acceptance of depression treatment. A focus on family members and friends of older patients from primary care settings is an advantage in designing an intervention appropriate to primary care settings.

Methods

Participants and methods

The Spectrum Study

The objective of the Spectrum Study was to characterize how depression presents among older primary care patients. Primary care practices recruited from the community provided the venue for sampling older patients. Trained lay interviewers were instructed in screening and study interviews by the study investigators working with Battelle Memorial Institute’s Center for Public Health Research and Evaluation, Baltimore, Maryland. In all, 3459 patients aged 65 years and older were approached and 2560 participated in the screening questionnaire (74% participation rate). The eligible sample was 30% African-American which was not significantly different from 33% in the recruited sample (p = 0.51). Participants who agreed to be part of the study were scheduled for an in-home interview which consisted of a 90-minute survey questionnaire. In-home interviews were obtained for 357 people, but two persons broke off the interview before it was completed, leaving a sample of 355 persons. At the baseline visit, patients designated a family member or someone who knows them well to be interviewed over the telephone. Details of the study design of the Spectrum Study are available elsewhere (Bogner et al. 2004, Gallo et al. 2005b, Bogner et al. 2006a). The study protocols were approved by the Institutional Review Board of the University of Pennsylvania School of Medicine.

Measurement strategy

Family member or friend assessment

At the index visit, a family member or friend designated by the patient was asked to complete a brief assessment. We obtained information from the family member or friend on age, marital status, and the number of hours the family member or friend helped the patient per week. The family member or friend was asked to rate the patient’s functional status with questions from the physical functioning component of the Medical Outcomes Study Short Form (SF-36) (Stewart and Ware 1993, McHorney 1996). The SF-36 has been employed in studies of outcomes of patient care (Stewart et al. 1988, Stewart et al. 1989, Wells et al. 1989, Stewart and Ware 1993, McHorney 1996), and appears to be reliable and valid even in frail elders (Stadnyk et al. 1998). Cognitive status of patients was rated by the family member or friend using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) (Jorm and Jacomb 1989, Jorm et al. 1991). The IQCODE has been examined among persons from differing ethnic groups (Jorm 2004). The family member or friend rated older patient apathy using the Apathy Evaluation Scale which has been shown to accurately evaluate motivation in older people (Marin et al. 1991, Resnick et al. 1998, Robert et al. 2002) and cross-culturally (Al-Adawi et al. 2004). During this assessment, the family member or friend was asked ‘Do you think that, (PATIENT) needs to be treated for depression?’ For this investigation, a response of ‘yes’ was considered as a family member or friend rated patient’s need for depression treatment.

Patient assessment

We obtained information from the older patients on age, gender, ethnicity, level of educational attainment, marital status, and living arrangements. Patients who did not self-identify as Hispanic or Latino/a were asked to select from choices read to them; namely, ‘American Indian or Alaska Native’, ‘Asian’, ‘Black or African-American’, ‘Native Hawaiian or Other Pacific Islander’, ‘White’, or ‘Other’. Patients who responded that they belonged to another ethnic group were excluded from this analysis. Persons who self-identified as African-American were classified as black for the purposes of this investigation. The Centers for Epidemiologic Studies Depression (CES-D) Scale was developed for use in studies of depression in community samples consisting of persons from different ethnic groups (Comstock and Helsing 1976, Radloff 1977, Eaton and Kessler 1981). The standard CES-D questionnaire contains 20 items and has been employed in studies of older adults (Newmann et al. 1991, Gatz et al. 1993). The CES-D appears to be a valid measure of depressive symptoms among persons from differing ethnic groups (Foley et al. 2002, Miller et al. 2004, Nguyen et al. 2004). The Beck Anxiety Inventory (BAI) was developed in order to measure the severity of anxiety symptoms (Beck et al. 1988). The BAI is a 21-item, self-report instrument designed to minimize the relationship of symptoms of anxiety and depressive symptoms. Total scores range from 0 to 63. The BAI has been widely used to assess symptomatology in culturally diverse samples (Carr et al. 1996, Greco et al. 1996, Wetherell and Arean 1997, Bjork et al. 1999, Gutierrez et al. 2001, Norasakkunkit and Kalick 2002). Designed to avoid confounding with depression, the BAI has been shown to be an appropriate instrument for measuring symptoms of anxiety in the elderly (Steer et al. 1994). The Mini-Mental State Examination (MMSE) is a short standardized mental status examination that has been widely employed for clinical and research purposes (Folstein et al. 1975) and for which US general population-based norms are available (Crum et al. 1993). The MMSE has been extensively studied, as reviewed by Tombaugh and McIntyre (1992) and by Crum and her colleagues (1993). Questions from the Medical Outcomes Study Short Form (SF-36) were used to assess functional status (Stewart and Ware 1993, McHorney 1996). The CES-D, BAI, MMSE, and SF-36 were used as continuous scores. Baseline medical comorbidity was measured by summing the lifetime presence of 12 chronic diseases or conditions. The following chronic diseases or conditions were included: myocardial infarction, angina, congestive heart failure, high blood pressure, diabetes, osteoarthritis, stroke, cancer, Parkinson’s disease, hip fracture, vision, and hearing problems. Participants were asked ‘During the past six months, how many visits did you make to primary care or family doctors, internists, surgeons or other medical specialists? This question refers only to office visits or clinic visits’. Participants were asked to gather the bottles of their prescription medications before the interview. The interviewer wrote down the medications and dosages directly from the bottles. For the purpose of these analyses, we examined whether or not an antidepressant medication was on the list of medications.

Analytic strategy

The family member or friend ratings of apathy and need for depression treatment were obtained on 314 of the 355 patients who completed the in-home interviews (88% response rate). We compared the persons who self-identified as black to persons who self-identified as white according to characteristics of the family members or friends and the family member or friend rating of patient functional status, cognitive status, apathy, and need for depression treatment, using the t-test for independent samples or the χ2 test for continuous or categorical data as appropriate. Second, we compared the characteristics of persons rated by a family member or friend as ‘not needing treatment for depression’ vs. ‘needing treatment for depression’, stratified according to self-identified patient ethnicity, using t-tests or χ2 tests for continuous or categorical data as appropriate. We set alpha at 0.05 recognizing that tests of statistical significance are approximations that serve as aids to interpretation and inference. Third, we examined the family member or friend ratings of need for depression treatment, using the odds ratio (OR) as a measure of association. We introduced terms in the multivariate models to represent age, sex, living arrangements, level of educational attainment, functional status, cognition, chronic medical conditions, depressive and anxiety symptoms, whether or not the family member or friend was a spouse, the family member or friend rating of functional status of the older adult, and the family member or friend rating of apathy of the older adult. Data analysis was performed using SPSS version 12 (SPSS Corporations, College Station, TX).

Results

Baseline characteristics of patients

The mean age±standard deviation of our study sample was 75.2±6.0 years with a range of 65–86 years. Of the 314 participants, 238 (75.8%) were women. The self-identified ethnic groups of the participants consisted of 205 (65.3%) white and 109 (34.7%) black patients. Of the 314 persons designated by patients as a family member or someone who knows them well, 78 (24.8%) were a spouse, 116 (36.9%) were an adult child, 45 (14.3%) were a relative, 70 (22.2%) were a friend, and 5 (1.5%) were other. All 314 persons designated by patients as a family member or someone who knows them well were included in our analyses. The self-identified ethnicity of the family member or friend was the same as the older patient.

Family member and friend characteristics and ratings of patients

Table 1 shows persons who self-identified as black compared to persons who self-identified as white according to characteristics of the family member or friend and the family member or friend rating of patient functional status, cognitive status, apathy, and need for depression treatment. Proportionately fewer family members of black patients were a spouse.

Table 1.

Characteristics of a family member or friend and family member or friend rating of patient, stratified by patient self-identified ethnicity.

Black patients (n=109) White patients (n=205) p-Value
Characteristics of family member or friend
Age, mean (s.d.) 59.4 (13.7) 61.6 (14.1) 0.202
Spouse, n (%) 17 (16%) 61 (30%) 0.006*
Hours helping patient per week, mean (s.d.) 6.9 (12.9) 4.3 (14.7) 0.117
Family member or friend rating of patient functional status
Physical function score, mean (s.d.) 53.9 (31.9) 64.6 (27.0) 0.002*
Family member or friend rating of patient cognitive status
IQCODE, mean (s.d.) 47.3 (6.4) 47.6 (4.9) 0.597
Family member or friend rating of patient apathy
Apathy Evaluation Scale, mean (s.d.) 51.5 (7.7) 50.6 (8.1) 0.276
Family member or friend rated need for depression treatment
Says patient needs treatment for depression, n (%) 18 (17%) 64 (31%) 0.005*
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Note: Data is from the Spectrum Study (2001–2003). IQCODE, Informant Questionnaire on Cognitive Decline in the Elderly; s.d., standard deviation;

*

p <0.05.

The family members or friends of black patients were significantly more likely than the family members or friends of white patients to report poorer patient physical functioning. Fewer black patients were rated as needing depression treatment by family members or friends.

Characteristics of patients according to family and friend ratings of need for depression treatment

Table 2 shows a comparison of patients rated by a family member or friend as ‘not needing treatment for depression’ vs. ‘needing treatment for depression’, stratified according to self-identified patient ethnicity. Proportionally more black patients were women and unmarried. Black patients were more likely than white patients to report poorer physical and social functioning. However, no clear patterns emerged to explain differences in the family member or friend ratings of need for depression treatment according to ethnicity. Regardless of ethnicity, older patients who were rated as needing depression treatment by a family member or friend were significantly more likely to be currently taking antidepressant medications when compared to older patients who were rated as not needing depression treatment.

Table 2.

Comparison of patients rated by family member or friend as ‘not needing treatment for depression’ vs. ‘needing treatment for depression’, stratified according to self-identified patient ethnicity.

Rated by family member or friend as ‘not needing treatment for depression’
 Rated by family member or friend as ‘needing treatment for depression’
Black patients (n=91) White patients (n=141) Black patients (n=18) White patients (n=64)
Sociodemographic
Age, mean (s.d.) 74.6 (5.6) 76.0 (6.2)a 77.1 (5.8)b 73.4 (5.4)a,b
Women, n (%) 77 (85%)c 96 (68%)c 18 (100%)b 47 (73%)b
Education less than high school, n (%) 49 (54%)c 40 (28%)c 13 (72%)b 20 (31%)b
Married, n (%) 25 (28%)c 77 (55%)a,c 4 (22%) 25 (39%)a
Living alone, n (%) 35 (39%) 45 (32%) 9 (50%) 22 (34%)
Psychological
CES-D score, mean (s.d.) 14.5 (11.6) 12.6 (9.9)a 20.1 (12.4) 18.3 (12.6)a
BAI score, mean (s.d.) 8.6 (8.2) 7.5 (7.7)a 10.2 (7.5) 11.6 (8.9)a
Cognition
MMSE, mean (s.d). 25.9 (3.5)c 27.9 (1.9)a,c 25.8 (3.5) 27.1 (2.6)a
Physical health
Physical function score, mean (s.d.) 55.6 (31.4)c 66.4 (25.5)a,c 45 (27.0) 53.6 (28.5)a
Role physical score, mean (s.d.) 38.5 (42.9)c 53.8 (38.9)a,c 33.3 (40.2) 35.2 (34.7)a
Role emotional score, mean (s.d.) 75.8 (38.5)d 81.4 (34.9)a 48.2 (46)d 66.2 (42.2)a
Social function score, mean (s.d.) 68.5 (30.6)c 77.9 (25.1)a,c 62.5 (31.2)b 65.8 (25.6)a,b
Bodily pain score, mean (s.d.) 52.0 (26.6)c 58.6 (22.9)a,c 47.4 (29.5) 47.7 (23.0)a
General health perception score, mean (s.d.) 55.2 (20.1) 55.8 (19.1)a 43.9 (20.6) 43.9 (19.4)a
Chronic medical conditions, mean (s.d.) 7.5 (3.4)c 6.6 (3.3)c 8.1 (3.1) 8.2 (4.2)
Number of visits within six months, mean (s.d.) 3.0 (1.8)c 3.8 (2.9)c 3.0 (1.4) 4.6 (4.2)
Antidepressant use, n (%) 8 (9%)c,d 34 (24%)a,c 8 (44%)d 33 (52%)a
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Note: Data is from the Spectrum Study (2001–2003). BAI, Beck Anxiety Inventory; CES-D, The Centers for Epidemiologic Studies Depression Scale; MMSE, Mini-Mental State Examination; s.d., standard deviation.

a

p <0.05 for comparison of white patients who were rated as not needing depression treatment with white patients who were rated as needing depression treatment.

b

p <0.05 for comparison of patients rated as needing depression treatment.

c

p <0.05 for comparison of patients rated as not needing depression treatment.

d

p <0.05 for comparison of black patients who were rated as not needing depression treatment with black patients who were rated as needing depression treatment.

Family member or friend rated need for depression treatment adjusted models

A family member or friend of black patients was less likely than a family member or friend of white patients to rate older patients as needing depression treatment (OR = 0.34; 95% confidence interval (CI) [0.18, 0.64]) adjusting for age, sex, living arrangements, level of educational attainment, functional status, cognition, chronic medical conditions, depressive and anxiety symptoms, whether or not the family member was a spouse, the family member or friend rating of functional status of the older adult, and the family member or friend rating of apathy of the older adult.

Discussion

We studied a family member or friend rated need for depression treatment in white vs. black patients and characteristics associated with the perceived need for depression treatment. Black patients were less likely than white patients to have been rated as needing treatment for depression. This association persisted even after controlling for potentially influential variables, including severity of depressive symptoms and level of functioning. Our results are consistent with our hypothesis that friends and family of black patients would be less likely to perceive black patients as needing depression treatment. Regardless of ethnicity, older patients who were rated as needing depression treatment by a family member or friend were significantly more likely to be currently taking antidepressant medications when compared to older patients who were rated as not needing depression treatment. Our study builds on previous work (Gallo et al. 2005a) and suggests that patient ethnicity may play a role in the perceived need for depression treatment by family members and friends of older adults who are present in the primary care setting.

Before discussing our findings, the results must first be considered in the context of some potential study limitations. First, we obtained our results only from primary care sites in Maryland whose patients may not be representative of most primary care practices. However, these practices were not academically affiliated and are probably similar to other practices in the country. Second, there is a potential for all the sources of error associated with retrospective interview data including imperfect recall and response bias (e.g., socially desirable responding). Third, selection bias is a potential limitation because, although the larger project was based on a random sample of primary care patients, the data on family member or friend ratings consisted of all the older adults who were selected for the larger project, agreed to participate, and had complete baseline interviews of a family member or friend. Fourth, our ability to assess the characteristics of the family members or friends who participated was limited. Fifth, we focused on the use of antidepressants for depression treatment and not psychotherapy. Although literature supports the effectiveness of psychotherapy, other data suggest that physicians are five times more likely to use pharmacotherapy than to provide counseling or refer for psychotherapy (Harman et al. 2001). This discrepancy is even greater in older patients (Gallo et al. 1999). Many older depressed patients, in particular African-American patients, may be reluctant to be referred to mental health professionals outside of the practice (Cooper-Patrick et al. 1999).

Nonetheless, despite limitations our results deserve attention because we examined the association of ethnicity with the perceived need for treatment of depression by a family member or friend of older primary care patients. Despite the observed variation in recognition and treatment of psychiatric disturbances according to ethnicity (Gallo et al. 1998), empirical studies have not typically focused on the perspectives of family members and friends. However, the attitudes and preferences of family members and friends are important and may have a large influence on discussing a mental health problem with a primary care physician, patient adherence, and subsequent recovery. In our findings, the family member or friend ratings of need for depression treatment were associated with the current antidepressant use.

In addition, family members or friends of black patients may encourage black patients to seek more informal sources of support. Among black Americans, a strong tradition of mutual support and participation in services outside of the mainstream exists (Jones 2000). Other research has found black Americans may use more informal support than formal services (or, indeed, seek no help at all) when confronted with a problem perceived to be of an ‘emotional’ nature as compared to a ‘physical’ problem. There is a high utilization of family, friends, churches, and informal community groups for emotional support (Neighbors and Jackson 1984, Wilson 1991). Black Americans have been found to be more likely than white Americans to rate spirituality as an extremely important aspect of care for depression (Cooper et al. 2001). ‘Positive spirituality’ as was set forth by Crowther and colleagues (2002) may promote overall wellness and health among elders may foster active engagement in life, through religious and/or community activities, prayer, meditation, and other practices. African-Americans with strong spiritual relationships with God may experience a heightened capability or self-efficacy to manage difficult health situations and overcome barriers to health promoting activities (Pizarro and Salovey 2002, Holt et al. 2005). Based on responses from 1292 participants aged 18 years and older in the National Survey of Black Americans (NSBA), 41% reported that they sought only informal support for an emotional problem, 9% reported the use of formal support only, and 33% reported that they had used both informal and formal support. Older black Americans in the NSBA were more likely to seek help from informal rather than from formal sources, with the use of help decreasing with advancing age (Greene et al. 1993). Older community-dwelling black adults from Brooklyn, NY visited their primary care physician at least three times annually; however, only 11% reported using these physicians for help with mental health problems (Cohen et al. 2005). A further understanding of reliance on mutual aid and informal sources of support may help explain the under-use of mental health services among older black adults (Lin et al. 1982, Rogler and Cortes 1993).

Attitudes toward mental illness, including stigma, may negatively impact mental health utilization patterns among ethnic minorities. Previous studies have suggested that negative attitudes regarding mental health and mental health treatment may be more pervasive among certain ethnic minorities. Silva de Crane and Spielberger found that compared to whites, African-Americans and Latinos held more negative views of mental illness (Silva de Crane and Spielberger 1981). In focus group discussions, black patients made more comments than white patients on the influence of spirituality and stigma on their help-seeking behavior and preferences for treatment (Cooper-Patrick et al. 1997).

Our findings may assist primary care physicians in overcoming barriers to the diagnosis and treatment of depressive disorders in older black patients. Several previous studies have shown that patients want physicians to consider their spiritual needs and discuss them in the clinical encounter (Anderson et al. 1993, King and Bushwick 1994, Ehman et al. 1999). For African-Americans, discussion of spirituality appears to be particularly important in the context of depression care (Cooper et al. 2001). In a study that examined reasons for seeking non-medical therapy for health conditions (including spiritually based therapies) Astin found that people who chose to use non-medical therapies instead of medical treatments did so not because of dissatisfaction with medical treatments but because they found non-medically based therapies to be more congruent with their own values, beliefs, and philosophical orientations toward health and life (Astin 1998). Furthermore, patients live in a social context and incorporating patients’ family members or friends into treatment discussions and decisions may be particularly important for depression. The ability of practitioners to deliver effective treatment for depression among older patients may be improved by incorporating not only patient but also family member or friend perspectives. Treatment decisions could therefore be individualized to the social context as well as to patient characteristics. Furthermore, it is of interest to understand when patients and family members or friends conceptualize depressive symptoms in a similar vs. divergent way because a family member or friend may facilitate or impede adherence to depression treatment among older primary care patients. Further research on factors influencing access to treatment and outcomes for different ethnic groups is needed (Dougherty 2004).

We are performing analyses of open-ended interviews of older patients and their family members or friends to understand what older adults and a family member or friend think about the nature, treatment, and outcome of depression. Further study of attitudes, expectations, and values of patients and a family member or friend in primary care settings may help elucidate the interplay of physician, patient, and family member or friend. Approaches to improving depression treatment among older adults should include an understanding of ways that shared experiences, shared histories, and shared life circumstances might affect the ways that family members or friends might view aspects of health and illness. Therefore, interventions designed to improve depression treatment, to be sustainable and acceptable to patients and family members or friends, must account for both the patients’ and families’ or friends’ views about health care and about illness, including depression. Family and friend attitudes regarding the causes of depression and the stigma associated with depression aid our understanding of mental health utilization patterns among black Americans. Clinicians should consider patients’ desires for mutual and informal sources of support when negotiating treatment decisions for depression.

Acknowledgments

This study was supported by National Institute of Mental Health.

Footnotes

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References

  1. Al-Adawi S, et al. Apathy and depression in cross-cultural survivors of traumatic brain injury. Journal of Neuropsychiatry and Clinical Neurosciences. 2004;16 (4):435–442. doi: 10.1176/jnp.16.4.435. [DOI] [PubMed] [Google Scholar]
  2. Alvidrez J. Ethnic variations in mental health attitudes and service use among low-income African American, Latina, and European American young women. Community Mental Health Journal. 1999;35 (6):515–530. doi: 10.1023/a:1018759201290. [DOI] [PubMed] [Google Scholar]
  3. Anderson JM, Anderson LJ, Felsenthal G. Pastoral needs and support within an inpatient rehabilitation unit. Archives of Physical Medicine and Rehabilitation. 1993;74 (6):574–578. doi: 10.1016/0003-9993(93)90154-3. [DOI] [PubMed] [Google Scholar]
  4. Astin J. Why patients use alternative medicine results of a national study. Journal of the American Medical Association. 1998;279:1548–1553. doi: 10.1001/jama.279.19.1548. [DOI] [PubMed] [Google Scholar]
  5. Beck AT, et al. An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting and Clinical Psychology. 1988;56 (6):893–897. doi: 10.1037//0022-006x.56.6.893. [DOI] [PubMed] [Google Scholar]
  6. Bjork JM, Dougherty DM, Moeller FG. Symptomatology of depression and anxiety in female ‘social drinkers’. American Journal of Drug and Alcohol Abuse. 1999;25 (1):173–182. doi: 10.1081/ada-100101853. [DOI] [PubMed] [Google Scholar]
  7. Bogner HR, Ford DE, Gallo JJ. The role of cardiovascular disease in the identification and management of depression by primary care physicians. American Journal of Geriatric Psychiatry. 2006a;14 (1):71–78. doi: 10.1097/01.JGP.0000192479.82189.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bogner HR, Lin JY, Morales KH. Patterns of early adherence to the antidepressant citalopram among primary care patients: the PROSPECT study. International Journal of Psychiatry in Medicine. 2006b;36 (1):103–119. doi: 10.2190/DJH3-Y4R0-R3KG-JYCC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bogner HR, et al. Personal characteristics of older primary care patients who provide a buccal swab for APOE testing and banking of genetic material: the Spectrum Study. Community Genetics. 2004;7 (4):202–210. doi: 10.1159/000082263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bogner HR, et al. The role of medical comorbidity on outcomes of major depression in primary care: the PROSPECT study. American Journal of Geriatric Psychiatry. 2005;13:861–868. doi: 10.1176/appi.ajgp.13.10.861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bogner HR, et al. Older primary care patient views regarding antidepressants: a mixed methods approach. Journal of Mental Health. doi: 10.1080/09638230701677795. in press. forthcoming. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Brown C, et al. Effectiveness of treatments for major depression in primary medical care practice: a post hoc analysis of outcomes for African-American and white patients. Journal of Affective Disorders. 1999;53:185–192. doi: 10.1016/s0165-0327(98)00120-7. [DOI] [PubMed] [Google Scholar]
  13. Burg MM, Seeman TE. Families and health: the negative side of social ties. Annals of Behavioral Medicine. 1994;16:109–115. [Google Scholar]
  14. Carr JG, Gilroy FD, Sherman MF. Silencing the self and depression among women: the moderating role of race. Psychology of Women Quarterly. 1996;20:375–392. [Google Scholar]
  15. Casten RJ, et al. Predictors of recovery from major depression among geriatric psychiatry inpatients: the importance of caregivers’ beliefs. International Psychogeriatrics. 1999;11 (2):149–157. doi: 10.1017/s1041610299005700. [DOI] [PubMed] [Google Scholar]
  16. Cohen CI, et al. Comparison of users and non-users of mental health services among depressed, older, urban African Americans. American Journal of Geriatric Psychiatry. 2005;13 (7):545–553. doi: 10.1176/appi.ajgp.13.7.545. [DOI] [PubMed] [Google Scholar]
  17. Comstock GW, Helsing KJ. Symptoms of depression in two communities. Psychological Medicine. 1976;6:551–563. doi: 10.1017/s0033291700018171. [DOI] [PubMed] [Google Scholar]
  18. Cooper LA, et al. How important is intrinsic spirituality in depression care? A comparison of white and African-American primary care patients. Journal of General Internal Medicine. 2001;16 (9):634–638. doi: 10.1046/j.1525-1497.2001.016009634.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Cooper R, David R. The biological concept of race and its application to public health and epidemiology. Journal of Health Politics, Policy and Law. 1986;11:97–116. doi: 10.1215/03616878-11-1-97. [DOI] [PubMed] [Google Scholar]
  20. Cooper-Patrick L, et al. Identification of patient attitudes and preferences regarding treatment of depression. Journal of General Internal Medicine. 1997;12:431–438. doi: 10.1046/j.1525-1497.1997.00075.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Cooper-Patrick L, et al. Mental health service utilization by African-Americans and whites: the Baltimore epidemiologic catchment area follow-up. Medical Care. 1999;37:1034–1045. doi: 10.1097/00005650-199910000-00007. [DOI] [PubMed] [Google Scholar]
  22. Crowther MR, et al. Rowe and Kahn’s model of successful aging revisited positive spirituality – the forgotten factor. The Gerontologist. 2002;42:613–620. doi: 10.1093/geront/42.5.613. [DOI] [PubMed] [Google Scholar]
  23. Crum RM, et al. Population-based norms for the Mini-Mental State Examination by age and educational level. Journal of the American Medical Association. 1993;269:2386–2391. [PubMed] [Google Scholar]
  24. Das AK, et al. Depression in African Americans: breaking barriers to detection and treatment. Journal of Family Practice. 2006;55 (1):30–39. [PubMed] [Google Scholar]
  25. Dougherty RH. Reducing disparity in behavioral health services: a report from the American College of Mental Health Administration. Administration and Policy in Mental Health. 2004;31 (3):253–263. doi: 10.1023/b:apih.0000018833.22506.fc. [DOI] [PubMed] [Google Scholar]
  26. Eaton WW, Kessler LG. Rates of symptoms of depression in a national sample. American Journal of Epidemiology. 1981;114:528–538. doi: 10.1093/oxfordjournals.aje.a113218. [DOI] [PubMed] [Google Scholar]
  27. Edgerton RB, Karno M. Mexican-American bilingualism and the perception of mental illness. Archives of General Psychiatry. 1971;24 (3):286–290. doi: 10.1001/archpsyc.1971.01750090092014. [DOI] [PubMed] [Google Scholar]
  28. Ehman JW, et al. Do patients want physicians to inquire about their spiritual or religious beliefs if they become gravely ill? Archives of Internal Medicine. 1999;159 (15):1803–1806. doi: 10.1001/archinte.159.15.1803. [DOI] [PubMed] [Google Scholar]
  29. Fabrega H, Jr, Mezzich J, Ulrich RF. Black–white differences in psychopathol-ogy in an urban psychiatric population. Comprehensive Psychiatry. 1988;29 (3):285–297. doi: 10.1016/0010-440x(88)90051-x. [DOI] [PubMed] [Google Scholar]
  30. Foley K, et al. Measurement adequacy of the CES-D among a sample of older African-Americans. Psychiatry Research. 2002;109:61–69. doi: 10.1016/s0165-1781(01)00360-2. [DOI] [PubMed] [Google Scholar]
  31. Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research. 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
  32. Gallo JJ, Cooper-Patrick L, Lesikar S. Depressive symptoms of whites and African Americans aged 60 years and older. Journal of Gerontology: Psychological Sciences. 1998;53B:277–286. doi: 10.1093/geronb/53b.5.p277. [DOI] [PubMed] [Google Scholar]
  33. Gallo JJ, Lebowitz BD. The epidemiology of common late-life mental disorders in the community: themes for the new century. Psychiatric Services. 1999;50:1158–1168. doi: 10.1176/ps.50.9.1158. [DOI] [PubMed] [Google Scholar]
  34. Gallo JJ, Rabins PV, Iliffe S. The ‘research magnificent’ in late life: psychiatric epidemiology and the primary health care of older adults. International Journal of Psychiatry in Medicine. 1997;27:185–204. doi: 10.2190/JF9W-9Q87-KV0F-YCY4. [DOI] [PubMed] [Google Scholar]
  35. Gallo JJ, Ryan SD, Ford D. Attitudes, knowledge, and behavior of family physicians regarding depression in late life. Archives of Family Medicine. 1999;8:249–256. doi: 10.1001/archfami.8.3.249. [DOI] [PubMed] [Google Scholar]
  36. Gallo JJ, et al. Filters on the pathway to mental health care: II. Sociodemographic factors. Psychological Medicine. 1995;25:1149–1160. doi: 10.1017/s0033291700033122. [DOI] [PubMed] [Google Scholar]
  37. Gallo JJ, et al. Patient ethnicity and the identification and active management of depression in late life. Archives of Internal Medicine. 2005a;165 (17):1962–1968. doi: 10.1001/archinte.165.17.1962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gallo JJ, et al. Patient characteristics associated with participation in a practice-based study of depression in late life: the Spectrum Study. International Journal of Psychiatry in Medicine. 2005b;35 (1):41–57. doi: 10.2190/K5B6-DD8E-TH1R-8GPT. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Gatz M, et al. A cross-national self-report measure of depressive symptomatology. International Psychogeriatrics. 1993;5:147–156. doi: 10.1017/s1041610293001486. [DOI] [PubMed] [Google Scholar]
  40. Greco P, Brickman AL, Routh DK. Depression and coping in candidates for kidney transplantation: racial and ethnic differences. Journal of Clinical Psychology in Medical Settings. 1996;3:337–353. doi: 10.1007/BF01994018. [DOI] [PubMed] [Google Scholar]
  41. Greene RL, Jackson JS, Neighbors HW. Mental health and help-seeking behavior. In: Jackson JS, Chatters LM, Taylor RJ, editors. Aging in black America. Newbury Park, CA: Sage; 1993. pp. 185–200. [Google Scholar]
  42. Gutierrez PM, Rodriguez PJ, Garcia P. Suicide risk factors for young adults: testing a model across ethnicities. Death Studies. 2001;25 (4):319–340. doi: 10.1080/07481180125994. [DOI] [PubMed] [Google Scholar]
  43. Harman JS, et al. Narrowing the gap in treatment of depression. International Journal of Psychiatry in Medicine. 2001;31 (3):239–253. doi: 10.2190/Q3VY-T8V9-30MA-VC5C. [DOI] [PubMed] [Google Scholar]
  44. Holt CL, Lewellyn LA, Rathweg MJ. Exploring religion-health mediators among African American parishioners. British Journal of Health Psychology. 2005;10 (4):511–527. doi: 10.1177/1359105305053416. [DOI] [PubMed] [Google Scholar]
  45. Jones SJ. NASW update. Washington, DC: National Association of Social Workers; 2000. Blacks in America have continued to survive in the absence of accessible, effective social services. [Google Scholar]
  46. Jorm AF. The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): a review. International Psychogeriatrics. 2004;16 (3):275–293. doi: 10.1017/s1041610204000390. [DOI] [PubMed] [Google Scholar]
  47. Jorm AF, Jacomb PA. The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychological Medicine. 1989;19 (4):1015–1022. doi: 10.1017/s0033291700005742. [DOI] [PubMed] [Google Scholar]
  48. Jorm AF, et al. Performance of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) as a screening test for dementia. Psychological Medicine. 1991;21 (3):785–790. doi: 10.1017/s0033291700022418. [DOI] [PubMed] [Google Scholar]
  49. Kaplan JB, Bennett T. Use of race and ethnicity in biomedical publication. Journal of the American Medical Association. 2003;289 (20):2709–2716. doi: 10.1001/jama.289.20.2709. [DOI] [PubMed] [Google Scholar]
  50. King DE, Bushwick B. Beliefs and attitudes of hospital inpatients about faith healing and prayer. Journal of Family Practice. 1994;39 (4):349–352. [PubMed] [Google Scholar]
  51. Kurtz ME, et al. Relationship of caregiver reactions and depression to cancer patients’ symptoms, functional states and depression – a longitudinal view. Social Science and Medicine. 1995;40 (6):837–846. doi: 10.1016/0277-9536(94)00249-s. [DOI] [PubMed] [Google Scholar]
  52. Kurtz ME, et al. Concordance of cancer patient and caregiver symptom reports. Cancer Practice. 1996;4 (4):185–190. [PubMed] [Google Scholar]
  53. Leaf PJ, et al. The relationship between demographic factors and attitudes toward mental health services. American Journal of Community Psychology. 1987;15 (2):275–284. doi: 10.1002/1520-6629(198704)15:2<275::aid-jcop2290150216>3.0.co;2-j. [DOI] [PubMed] [Google Scholar]
  54. Lin KM, et al. Sociocultural determinants of the help-seeking behavior of patients with mental illness. Journal of Nervous and Mental Disease. 1982;170 (2):78–85. doi: 10.1097/00005053-198202000-00003. [DOI] [PubMed] [Google Scholar]
  55. Lyons RF, et al. Relationships in chronic illness and disability. Thousand Oaks, CA: Sage; 1995. [Google Scholar]
  56. Marin RS, Biedrzycki RC, Firinciogullari S. Reliability and validity of the Apathy Evaluation Scale. Psychiatry Research. 1991;38 (2):143–162. doi: 10.1016/0165-1781(91)90040-v. [DOI] [PubMed] [Google Scholar]
  57. McHorney CA. Measuring and monitoring general health status in elderly persons: practical and methodological issues in using the SF-36 health survey. The Gerontologist. 1996;36:571–583. doi: 10.1093/geront/36.5.571. [DOI] [PubMed] [Google Scholar]
  58. Melfi CA, et al. Racial variation in antidepressant treatment in a medicaid population. Journal of Clinical Psychiatry. 2000;61 (1):16–21. doi: 10.4088/jcp.v61n0105. [DOI] [PubMed] [Google Scholar]
  59. Miller D, et al. Clinically relevant levels of depressive symptoms in community-dwelling middle-aged African-Americans. Journal of the American Geriatrics Society. 2004;52:741–748. doi: 10.1111/j.1532-5415.2004.52211.x. [DOI] [PubMed] [Google Scholar]
  60. Millet PE, et al. Black Americans’ and White Americans’ views of the etiology and treatment of mental health problems. Community Mental Health Journal. 1996;32 (3):235–242. doi: 10.1007/BF02249425. [DOI] [PubMed] [Google Scholar]
  61. Neighbors HW, Jackson JS. The use of informal and formal help: four patterns of illness behavior in the black community. American Journal of Community Psychology. 1984;12:629–644. doi: 10.1007/BF00922616. [DOI] [PubMed] [Google Scholar]
  62. Newmann JP, Engel RJ, Jensen J. Changes in depressive-symptom experiences among older women. Psychology and Aging. 1991;6:212–222. doi: 10.1037//0882-7974.6.2.212. [DOI] [PubMed] [Google Scholar]
  63. Nguyen HT, et al. Factorial invariance of the CES-D in low socioeconomic status African Americans compared with a nationally representative sample. Psychiatry Research. 2004;126:177–187. doi: 10.1016/j.psychres.2004.02.004. [DOI] [PubMed] [Google Scholar]
  64. Norasakkunkit V, Kalick SM. Culture, ethnicity, and emotional distress meausres: the role of self-construal and self-enhancement. Journal of Cross-Cultural Psychology. 2002;33:56–70. [Google Scholar]
  65. Office of Research on Women’s Health. Women of color health data book: adolescents to seniors. Bethesda, MD: National Institutes of Health; 2000. [Google Scholar]
  66. Osborne NG, Feit MD. The use of race in medical research: commentary. Journal of the American Medical Association. 1992;267:275–279. [PubMed] [Google Scholar]
  67. Pizarro D, Salovey P. Religious systems as ‘emotionally intelligent’ organizations. Psychological Inquiry. 2002;13 (3):220–222. [Google Scholar]
  68. Rabins PV. Prevention of mental disorders in the elderly: current perspectives and future prospects. Journal of the American Geriatrics Society. 1992;40:727–733. doi: 10.1111/j.1532-5415.1992.tb01968.x. [DOI] [PubMed] [Google Scholar]
  69. Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
  70. Resnick B, et al. Use of the Apathy Evaluation Scale as a measure of motivation in elderly people. Rehabilitation Nursing. 1998;23 (3):141–147. doi: 10.1002/j.2048-7940.1998.tb01766.x. [DOI] [PubMed] [Google Scholar]
  71. Robert PH, et al. The apathy inventory: assessment of apathy and awareness in Alzheimer’s disease, Parkinson’s disease and mild cognitive impairment. International Journal of Geriatric Psychiatry. 2002;17 (12):1099–1105. doi: 10.1002/gps.755. [DOI] [PubMed] [Google Scholar]
  72. Rogler LH, Cortes DE. Help-seeking pathways: a unifying concept in mental health care. American Journal of Psychiatry. 1993;150 (4):554–561. doi: 10.1176/ajp.150.4.554. [DOI] [PubMed] [Google Scholar]
  73. Sabogal F, Martin G, Otero-Sabogal R, Marin BV, Perez-Stable EJ. Hispanic familism and acculturation: What changes and what doesn’t? Hispanic Journal of Behavioral Sciences. 1987;9:397–412. [Google Scholar]
  74. Shin JK. Help-seeking behaviors by Korean immigrants for depression. Issues in Mental Health Nursing. 2002;23 (5):461–476. doi: 10.1080/01612840290052640. [DOI] [PubMed] [Google Scholar]
  75. Silva de Crane R, Spielberger CD. Attitudes of Hispanic, Black, and Caucasian university students toward mental illness. Hispanic Journal of Behavioral Sciences. 1981;3:241–255. [Google Scholar]
  76. Sleath B, Svarstad B, Roter D. Patient race and psychotropic prescribing during medical encounters. Patient Education and Counseling. 1998;34:227–238. doi: 10.1016/s0738-3991(98)00030-5. [DOI] [PubMed] [Google Scholar]
  77. Snowden LR, Pingitore D. Frequency and scope of mental health service delivery to African Americans in primary care. Mental Health Service Research. 2002;4 (3):123–130. doi: 10.1023/a:1019709728333. [DOI] [PubMed] [Google Scholar]
  78. Stadnyk K, Calder J, Rockwood K. Testing the measurement properties of the Short Form-36 health survey in a frail elderly population. Journal of Clinical Epidemiology. 1998;51:827–835. doi: 10.1016/s0895-4356(98)00061-4. [DOI] [PubMed] [Google Scholar]
  79. Steer RA, et al. Differentiating elderly medical and psychiatric outpatients with the Beck Anxiety Inventory. Assessment. 1994;1:345–351. [Google Scholar]
  80. Stewart AL, Hays RD, Ware JE. The MOS Short-form General Health Survey: reliability and validity in a patient population. Medical Care. 1988;26:724–735. doi: 10.1097/00005650-198807000-00007. [DOI] [PubMed] [Google Scholar]
  81. Stewart AL, Ware JE, editors. Measuring functioning and well-being. Durham, NC: Duke University Press; 1993. [Google Scholar]
  82. Stewart AL, et al. Functional status and well-being of patients with chronic conditions: results from the medical outcomes study. Journal of the American Medical Association. 1989;262:907–913. [PubMed] [Google Scholar]
  83. Tombaugh TN, McIntyre NJ. The Mini-Mental State Examination: a comprehensive review. Journal of the American Geriatrics Society. 1992;40:922–935. doi: 10.1111/j.1532-5415.1992.tb01992.x. [DOI] [PubMed] [Google Scholar]
  84. Wang P, Berglund P, Kessler R. Recent care of common mental disorders in the United States. Journal of General Internal Medicine. 2000;15:284–292. doi: 10.1046/j.1525-1497.2000.9908044.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Wells KB, et al. The functioning and well-being of depressed patients: results from the medical outcomes study. Journal of the American Medical Association. 1989;262:914–919. [PubMed] [Google Scholar]
  86. Wetherell JL, Arean PA. Psychometric evaluation of the Beck Anxiety Inventory with older medical patients. Psychological Assessment. 1997;9:136–144. [Google Scholar]
  87. Wilson MN. The context of the African American family. In: Everett JE, Chipungu SS, Leashore BR, editors. Child welfare: an africentric prospective. New Brunswick, NJ: Rutgers University; 1991. pp. 85–118. [Google Scholar]
  88. Young AS, et al. The quality of care for depressive and anxiety disorders in the United States. Archives of General Psychiatry. 2001;58:55–61. doi: 10.1001/archpsyc.58.1.55. [DOI] [PubMed] [Google Scholar]
  89. Zenner W. Ethnicity. In: Levinson D, Ember M, editors. Encyclopedia of cultural anthropology. New York, NY: Holt; 1996. pp. 393–395. [Google Scholar]

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