|
|
||||||||
RESEARCH AND PRACTICE |
At the time of the study, Steven J. Katz was with the Departments of Medicine and Health Management and Policy, University of Michigan, Ann Arbor, and VA Health Services Research and Development, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor. Paula M. Lantz was with the Department of Health Management and Policy, University of Michigan, Ann Arbor. Yvonne Paredes was with the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles. Nancy K. Janz was with the Department of Health Behavior and Health Education, University of Michigan, Ann Arbor. Angela Fagerlin was with the Department of Medicine, University of Michigan, Ann Arbor, and VA Health Services Research and Development, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor. Lihua Liu and Dennis Deapen were with the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Correspondence: Requests for reprints should be sent to Steven J. Katz, MD, MPH, Departments of Medicine and Health Management and Policy, University of Michigan, 300 N. Ingalls, Suite 7E12, Box 0429, Ann Arbor, MI 48109-0429 (e-mail: skatz{at}umich.edu).
| ABSTRACT |
|---|
|
|
|---|
Objective. We examined breast cancer treatment experiences of and outcomes for Latinas in Los Angeles County.
Methods. We conducted a population-based survey of women who were diagnosed with breast cancer between December 2001 and November 2002 (n=910) to evaluate the types of treatments received, communication with clinicians, and satisfaction.
Results. About two thirds were non-Latina White, 18.8% were African American, and 18.9% were Latina (with 11.0% preferring English and 7.9% preferring Spanish). The rest indicated other ethnic groups. Latinas who preferred Spanish were more likely to experience a delay of 3 months or more from diagnosis to surgical treatment (36.4% vs 9.1% for non-Latina Whites, 18.6% for African Americans, and 12.7%, for other Latinas, P<.001). African Americans and Latinas who preferred Spanish had very low rates of reconstruction (13.8% and 9.2%, respectively, compared with 42.1% for Whites and 34.5% for Latinas who preferred English, P=.009). Latinas who preferred Spanish had the highest odds ratio for low satisfaction.
Conclusion. Latinas who preferred Spanish received different treatments and perceived a different treatment experience than did other cultural groups.
| INTRODUCTION |
|---|
|
|
|---|
Ethnic differences in breast cancer morbidity and mortality are likely the result of a complex interplay between clinical, cultural, and socioeconomic factors.5,6 First, Latina women present with later-stage disease that may limit treatment options.3,7,8 In addition, powerful cultural factors shape the health care treatment experiences of many Latinas, who have diverse levels of acculturation as expressed by language, family origin, immigration experience, and social class. Patients with low acculturation are more likely to prefer to communicate in Spanish. Studies have shown that language and literacy are major barriers to cancer screening and treatment opportunities.9
Communication between patients and clinicians may also be influenced by a number of other cultural factors that are relevant to the Hispanic community and may affect patient preferences with regard to providers or their perceptions of quality of care.10,11 Finally, financial and nonfinancial dimensions of access are highly correlated with acculturation and strongly limit opportunities to obtain quality treatment.12 Although there is a growing literature on African American versus White differences in breast cancer treatment, there is very little information to date on Latinas experiences with such treatment, especially from population-based studies.13
To explore Latinas experiences with and perspectives on breast cancer treatment and communication, we conducted a population-based study to examine the following questions: (1) Were there differences in the distribution of specific therapies (mastectomy vs breast-conserving surgery [BCS], breast reconstruction, and radiation post-BCS) across ethnic groups? (2) What patientsurgeon communication factors were associated with ethnic differences in receipt of therapies? (3) Were ethnic differences in treatment associated with socioeconomic and access factors? (4) Were there ethnic differences in satisfaction with the decision-making process regarding surgery?
| METHODS |
|---|
|
|
|---|
Data Collection and Management
Physicians were notified of our intent to contact patients; notification was followed by an introductory letter and a telephone call to potential subjects to assess eligibility. A questionnaire and a $10 gift certificate were mailed to eligible women who agreed to participate and to those who could not be reached by phone. The Dillman survey method, which involves follow-up reminders and subsequent mailings to nonrespondents at periodic intervals, was employed to enhance response.14
All survey materials were translated into Spanish by experienced native speakers of Mexican descent. Speakers of Central and South American descent performed a cross-cultural check for appropriateness. Back-translation was performed in iterations, and differences in versions were evaluated and reconciled to ensure that the original meaning had been retained. Subsequently, the Los Angeles site coordinator (a native speaker of Mexican descent) screened all women accrued into the study and ascertained whether potential respondents preferred an English or a Spanish version of the questionnaire. This process was repeated during telephone recontacts with those who failed to return a questionnaire and with those who returned incomplete questionnaires to determine the appropriate language for a telephone interview or clarification of missing data. A total of 72 of 104 patients (69.2%) who were sent a Spanish questionnaire completed and returned it.
SEER registry clinical data submitted by cancer-reporting facilities in Los Angeles County were merged with survey data for 98.2% of the cases.
Measures
Dependent variables included measures of surgical and adjuvant radiation therapy. The surgical treatment received (unilateral or bilateral mastectomy vs BCS) was ascertained by self-report and the SEER data, which yielded the same surgical procedure for 96.4% of the patients in our sample (a rate consistent with other studies).15 Initiation of radiation therapy was ascertained by patient self-report or from SEER clinical data if missing on the survey (n = 18). Receipt of breast reconstruction (dichotomous variable) was based on self-report. We also created a variable indicating delay, defined as a duration of 3 months or longer between diagnosis and definitive surgical treatment.
Another dependent variable, satisfaction with the process by which the surgical decision was made, was measured by means of a scale comprising 4 attitudinal items from the survey identified from a larger pool of items through data reduction. A 5-point Likert scale (ranging from strongly disagree to strongly agree) was used to measure the level of agreement with the following 4 items addressing the decision on what type of surgery to have: (a) I wish I would have given more consideration to other options; (b) I would have liked to have had more information; (c) I would have liked to have been more active in the decision-making process; (d) I did not have as much to say as I would have liked. The Cronbach
for this scale was .91 (.91, .89, .91 for non-Latina White, African American, and Latina patients, respectively), with the scale score representing the average response to the 4 items.
Independent variables included clinical factors. Summary cancer stage was classified using the American Joint Committee on Cancer TNM (Tumor, Node, Metastasis) Staging System for breast cancer.16 A count of medical comorbidities was based on a list of 6 chronic conditions selected from the 2001 National Health Interview Survey.17 Sociodemographic variables included age (continuous), education (4 categories, see Table 1
), marital status (currently married/partnered or not), household income (5 categories), and insurance status (none, private/Medicare, Medicaid). Ethnicity was determined by self-report. Categories for analysis included White, African American, and Latina (self-identified). Latina women were further categorized according to whether they completed the survey in English (Latina-English) or Spanish (Latina-Spanish).
|
| RESULTS |
|---|
|
|
|---|
Table 1
also shows that there was modest ethnic variation in the prevalence of medical comorbidities, with African Americans having the highest prevalence. Latina-Spanish patients presented with a later stage at diagnosis than those from other ethnic groups (27.1% with stage 3 disease compared with about 10% for all other ethnic groups), and more of them had a mastectomy than other ethnic groups. However, the proportion of Latina-Spanish patients who received reconstruction after mastectomy was very low. Finally, there was modest ethnic variation in the receipt of radiation after BCS.
Treatment
Overall, 32.2% of patients received mastectomy, and after control for clinical and sociodemographic factors, this percentage did not vary significantly by ethnic group. However, Latina-Spanish patients were much more likely to experience a delay between diagnosis and surgery of 3 months or more (36.4% vs 9.1% for non-Latina Whites, 18.6% for African Americans, and 12.7% for Latina-English patients, P < .001). Table 2
shows 2 models with adjusted odds ratios for treatment delay by ethnic group. Model 1 controlled for clinical and demographic variables. Model 2 built on Model 1 by adding education, income, and insurance status variables, primarily to see what happened to the ethnicity variable after control for these other factors. The results show that treatment delay for Latina-Spanish patients substantially attenuated to insignificance with the addition of these variables in Model 2, suggesting that socioeconomic statusincluding insurance statusexplains ethnic difference in delay between diagnosis and surgery in this sample. Insurance status had a strong and significant effect on treatment delay (none/Medicaid vs private/Medicare, adjusted odds ratio [AOR] = 2.3, 95% confidence interval [CI] = 1.1, 5.1).
|
|
|
| DISCUSSION |
|---|
|
|
|---|
Factors Influencing the Treatment Experience
Our findings suggest that a number of factors may shape the treatment experience of our Los Angeles sample of Latinas with breast cancer. Spanish-speaking Latinas were younger and had much less education than women in other ethnic groups. These sociodemographic factors have been correlated with treatment receipt and experience in other studies.18 Latina-Spanish patients also presented with a later stage at diagnosis, which may limit treatment choices. However, ethnic disparities were observed even after we controlled for these factors.
Financial and nonfinancial barriers to health care access likely play important roles in ethnic differences in breast cancer treatment.12 Indeed, we found that income and insurance status were important confounding factors in the association between ethnicity, delayed surgical treatment, and reconstruction after mastectomy. Financial access is an important factor to consider in investigating ethnicity and cancer treatment. Similarly, access to quality health care is another important dimension because many Latinas live in neighborhoods that are far from comprehensive cancer centers or they may have limited access to quality cancer care for other reasons. Additional dimensions of access that may play a role include patient accommodation (evening appointments and translation services), availability of transportation, and patient acceptability of providers and the health care environment.19 In particular, limited communication skills and understanding of Hispanic culture by providers may also create barriers to care. These factors can lead to patient dissatisfaction with the treatment that was received and the way that medical decisions were made.
We can only speculate about other cultural and access factors that may have helped shape the experience of Spanish-preferring Latinas in our study. Limited facility with English is a powerful barrier to communication and quality medical care in the United States.20 Thus, some of our findings may be explained primarily by language barriers, as studies have shown that language and literacy are major barriers to cancer screening and treatment opportunities.9 Language and literacy may be particularly challenging in treating breast cancer because of the complexity of the information and decisionmaking process.
Language is also a powerful indicator of patient acculturation. There is a rich literature about the important features of Hispanic culture in the United States and how these cultural factors may influence patient care.10,11 Communication between patients and clinicians may be influenced by a number of cultural factors such as "personalismo" (the emphasis on personal manner in communication and relationships), "simpatia" (the tendency to appraise the quality of relationships and communication on the basis of friendliness and warmth), or power distance (deference to people in positions of perceived power). These values may limit involvement in decisionmaking details, resulting in poor knowledge about treatment options and trade-offs and, ultimately, lower patient satisfaction.
Limitations
Several limitations merit comment. Although the study was population based, the exclusion of Asian women and US-born women aged younger than 50 limits general-izability to these groups. The fact that the percentage of Latina women, particularly those who preferred Spanish, was modest may have limited power for some analyses. Furthermore, somewhat lower response rates for African Americans and Spanish-preferring Latinas compared with Whites may have introduced bias. We did not have robust measures of acculturation, such as patient origin or immigration experience, and thus our evaluations of some of the underlying factors driving the differences we observed were limited.
The study was necessarily retrospective. Patients recall of their encounters with clinicians may vary because of the passage of time or be influenced by their posttreatment experiences. However, the average time from treatment to completion of the questionnaire was 7 months (range 1 to 14 months), and there was no association between the time from diagnosis date to questionnaire completion date and the findings.
Conclusions
Our results suggest that clinicians and other providers face special challenges when caring for Latinas with breast cancer, especially those with low acculturation. A cancer diagnosis is a stressful experience for all patients. They and their families must make many complicated treatment decisions with major consequences over a short period of time. Most of these decisions are made with clinicians and staff they have met for the first time under difficult circumstances. A major challenge to those who work with patients who have breast cancer is that many Latina women with low acculturation may be engaging the health care system for the first time with little or no health insurance and very limited financial resources. Although these daunting access issues are common to patients from other vulnerable populations, providers face additional challenges related to language and culture. More research is needed to identify the underlying factors driving disparities in treatment for Latinas, communication, and outcomes in breast cancer and to inform initiatives to improve the quality of care.
| Acknowledgments |
|---|
103885. Note. The ideas and opinions expressed herein are those of the authors, and no endorsement by the California Department of Health Services is intended or should be inferred.
Human Participant Protection
The study protocol was approved by the institutional review boards of the University of Michigan, the University of Southern California, and Wayne State University.
| Footnotes |
|---|
Contributors
S. J. Katz, P. M. Lantz, N. K. Janz, and A. Fagerlin were involved in the project planning, implementation, analyses, and writing of this article. D. Deapen, L. Liu, and Y. Paredes were involved in the project planning, implementation, and writing of this article.
Accepted for publication February 28, 2005.
| References |
|---|
|
|
|---|
2. Shavers VL, Harlan LC, Stevens JL. Racial/ethnic variations in clinical presentation, treatment and survival among breast cancer patients under age 35. Cancer. 2003;97:134147.[CrossRef][ISI][Medline]
3. Boyer-Chammard A, Taylor TH, Anton-Culver H. Survival differences in breast cancer among racial/ethnic groups: a population-based study. Cancer Detect Prev. 1999;23(6):463473.[CrossRef][ISI][Medline]
4. Li CI, Malone KE, Daling JR. Differences in breast cancer stage, treatment and survival by race and ethnicity. Arch Intern Med. 2003;163:4956.
5. Shavers VL, Brown ML. Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst. 2002;94(5):334357.
6. Freeman HP. Race, poverty, and cancer. J Natl Cancer Inst. 1990;83:526527.
7. Bentley JR, Delfino RJ, Taylor TH. Differences in breast cancer stage at diagnosis between non-Hispanic White and Hispanic populations, San Diego County 19881993. Breast Cancer Res Treatment. 1998;50:19.[CrossRef][ISI][Medline]
8. Elledge RM, Clark GM. Tumor biologic factors and breast cancer prognosis among White, Hispanic, and Black women in the United States. J Natl Cancer Inst. 1994;86(9):705712.
9. Seijo R, Gomez H, Freidenberg J. Language as a communication barrier in medical care for Hispanic patients. Hispanic J Behav Sci. 1991;13(4):363376.
10. Marin G, Van Oss Marin B. Research with Hispanic populations. Applied Social Research Methods Series. 1991;23.
11. Chong N. The Latino Patient: A Cultural Guide for Health Care Providers. Yarmouth, Me: Intercultural Press, Inc.; 2002.
12. Breen N, Kesser LG, Brown ML. Breast cancer control among the underservedan overview [review]. Breast Cancer Res Treatment. 1996;40(1):105115.[CrossRef][ISI][Medline]
13. Ramirez AG, Villarreal R, Suarez L, Flores ET. The emerging Hispanic population: a foundation for cancer prevention and control [review]. J Natl Cancer Inst Monographs. 1995;18:19.
14. Anema MG, Brown BE. Increasing survey responses using the total design method. J Continuing Education Nurs. 1995;26:109114.
15. M andandelblatt JS, Berg CD, Meropol NJ, et al. Measuring and predicting surgeons practice styles for breast cancer treatment in older women. Med Care. 2001;39(3):228242.[CrossRef][ISI][Medline]
16. American Joint Committee on Cancer. Cancer Staging Manual. 5th ed. 1997:172177.
17. National Center for Health Statistics, Division of Health Interview Statistics. 2001 National Health Interview Survey, public use data release. Available at: ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2001. Accessed August 20, 2005.
18. Groman R, Ginsburg J. Racial and ethnic disparities in health care: a position paper of the American College of Physicians. Ann Intern Med. 2004;141(3): 226232.
19. Penchansky R, Thomas JW. The concept of access: definition and relationships to consumer satisfaction. Med Care. 1981;19(2):127141.[ISI][Medline]
20. Documet PI, Sharma RK. Latinos health care access: financial and cultural barriers. J Immigrant Health. 2004;6(1):513.[CrossRef][Medline]
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |