|
|
||||||||
RESEARCH AND PRACTICE |
Kate M. Brett is with the Division of Epidemiology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Md. At the time of the study, Jenny A. Higgins also was with the Division of Epidemiology, National Center for Health Statistics, Centers for Disease Control and Prevention.
Correspondence: Requests for reprints should be sent to Kate M. Brett, PhD, National Center for Health Statistics, Division of Epidemiology, 6525 Belcrest Rd, Room 730, Hyattsville, MD 20782 (e-mail: kbrett{at}cdc.gov).
| ABSTRACT |
|---|
|
|
|---|
Objectives. We investigated hysterectomy prevalence among Hispanic women.
Methods. We obtained data from 4684 Hispanic women and 20 604 non-Hispanic White women from the 19981999 National Health Interview Survey. We calculated nationally representative odds ratios of previous hysterectomy, controlling for confounders.
Results. Compared with non-Hispanic White women, the odds ratio for hysterectomy was 0.36 (95% confidence interval [CI] = 0.30, 0.44) for Hispanic women with no high school diploma, 0.57 (95% CI = 0.44, 0.74) for high school graduates, and 0.67 (95% CI = 0.42, 0.87) for college attenders. Country of origin had little influence on hysterectomy prevalence. Hysterectomy was positively associated with acculturation.
Conclusions. Hispanic women undergo fewer hysterectomies than do non-Hispanic White women. The reasons for this, as well as information on ethnicity-specific appropriateness of hysterectomy, should be explored.
| INTRODUCTION |
|---|
|
|
|---|
Many factors seem to influence hysterectomy within the United States. Biological factors such as cancer and the presence of uterine leiomyoma are strong predictors of the procedure.57 Body mass index8 and parity79 also are strongly associated with hysterectomy. Hysterectomy prevalence has also been shown to differ significantly along a number of sociodemographic lines, including region of residence,2,3 education level,711 income,9,11,12 and occupation.9 This pattern suggests that a number of factors influencing hysterectomy prevalence are unrelated to medical necessity.
Race is another sociodemographic variable that has been investigated as a risk factor for hysterectomy, although no consistent associations have been found. Some studies present no significant differences between Black women and White women.7,13 Others indicate a greater rate of premenopausal hysterectomy among Blacks, owing largely to the higher prevalence of uterine leiomyoma among Black women.14
Despite a recent qualitative study of hysterectomy among several ethnic groups, including Hispanic women,15,16 little is known about either the prevalence of hysterectomy among Hispanics or the factors associated with hysterectomy in this subpopulation. A study using national data from 1988 found nearly identical hysterectomy rates for Blacks, Whites, and Hispanics.11 Nationally representative survey data obtained from women younger than 45 years revealed that 3.6% of Hispanic women had had a hysterectomy, compared with 5.2% of non-Hispanic White women.17 An ecological study of Los Angeles County found that zip code areas with higher proportions of Latino residents had higher rates of hysterectomy.18 However, no other published US reports have included an analysis by Hispanic ethnicity.
Overall use of medical care by Hispanics is lower than the national average.19 In general, recent immigrants have been found to make fewer medical care visits than native-born Americans.20 Hispanic persons tend to lack a usual source of medical care, even after controlling for health care coverage.19,21 Language barriers and the concepts of fatalismo (that everything is predestined) and familismo (that important decisions are made with an eye toward how the outcome of the decision will affect family members) have been postulated to affect hysterectomy among certain Hispanics in the United States.22 However, studies of Hispanic womens use of general health services,19 as well as of mammography and Papanicolaou tests,2325 have found little difference by acculturation after control for other socioeconomic variables.
The purpose of our article is to reduce the information gap regarding hysterectomy prevalence among Hispanic women. This gap is at least partially a result of the paucity of accurate data on ethnicity collected in surveys. National surveillance of hysterectomy conducted by the Centers for Disease Control and Prevention uses as its source of data the National Hospital Discharge Survey,2 in which ethnicity information is left blank approximately 70% of the time (R. Pokras, personal communication, February 15, 2001). Other studies have not included enough Hispanic women in their samples to evaluate this ethnic group separately. Given the rapidly expanding size of the US Hispanic population,26 it is important for health planners to know the prevalence of hysterectomy in this group. Not only are potentially large numbers of surgeries and associated costs involved; some women may not be receiving necessary medical treatment that could prevent hysterectomy.
| METHODS |
|---|
|
|
|---|
The survey consists of both an annual "core" set of questions and additional sets of questions that are asked either periodically or on an as-needed basis. In the 1998 surveys Sample Adult Prevention supplement, information on preventive health behaviors was obtained from a subset of approximately 32 000 adults (aged 18 years and older). This section included a question regarding whether a woman had ever had a hysterectomy. The response rate for this supplement was 73%.27 In 1999, the question regarding hysterectomy was included in the Sample Adult Core questionnaire. This section of the NHIS was given to approximately 31 000 adults. The response rate was 70%.28
The main independent variable of interest, Hispanic ethnicity, was obtained by asking the respondent whether any of a list of Hispanic groups (e.g., Chicano, Puerto Rican) represented the persons national origin or ancestry. Any positive response, even if the respondent did not know or refused to provide a specific subgroup, was used to define the respondent as Hispanic. We also analyzed specific type of Hispanic origin in this investigation. The groups were designated "Puerto Rican" (n = 558), "Mexican/Mexican American/Chicano" (n = 1963), "Cuban/Cuban American" (n = 626), and "Other Latin American" (n = 804). Respondents who were classified as Hispanic but who could not be assigned to a specific group owing to lack of additional information (n = 733) were omitted from analyses of Hispanic subgroup.
Two data items were used to measure acculturation among Hispanic women. Information was collected on whether the survey was conducted in English, Spanish, or some other language. Hispanic women interviewed in either Spanish or in both Spanish and English were classified as being less acculturated than Hispanic women interviewed in English only. Information was also collected on both place of birth and length of time spent living in the United States for those not born there. Hispanic women were categorized into 3 groups: born on foreign soil and living in the United States for less than 10 years, born on foreign soil and living in the United States for 10 or more years, and born in the United States.
Several characteristics previously associated with hysterectomy were analyzed as potential confounders. These covariates consisted of both socioeconomic variables and variables measuring health characteristics and health care access. The sociodemographic characteristics included in the analysis were age at interview (2544 years, 4564 years, 65 or more years), level of education (no high school diploma, high school diploma or General Education Development diploma, at least some college), marital status (ever married, never married), family income relative to the US poverty line (< 200%,
200%), and region of current residence (Northeast, Midwest, South, West). Health characteristics included weight for height (body mass index [BMI; weight in kilograms by height in meters squared] < 25.0, BMI
25.0), whether the respondent had a usual source of medical care (yes, no), and self-reported health status (excellent/very good/good, fair/poor). Because having a usual source of care is so important for many types of service utilization,29,30 and because this factor is lower among Hispanic populations than among non-Hispanic Whites,19 it was also included in this analysis. Finally, self-reported health was included, because a large majority of gynecologic surgery is performed for nonmalignant conditions to improve quality of life.31
Analysis Data Set
Of the 26 685 non-Hispanic White women and Hispanic women aged 25 years and older who completed the 1998 to 1999 interview, the 636 women (2.4%) who did not answer the hysterectomy question were excluded. Of the remaining women, 761 (2.9%) had to be eliminated because of missing values for 1 or more of the confounders. An additional 107 Hispanic women (2.3%) were dropped only from the analysis by level of acculturation, owing to missing information on survey language or birthplace.
Analytic Methods
We compared the proportions of non-Hispanic White women and Hispanic women in each potential covariate category. Using the direct method, we adjusted these proportions to the age structure of the full analysis data set. We then constructed 3-way contingency tables, along with stratified odds ratios (ORs), to assess the strength of the association between ethnicity and hysterectomy status, controlling individually for each of the covariates. We considered any variable to be a potential effect modifier that showed substantial differences in the strength of association between ethnicity and hysterectomy by its different levels. We then incorporated all variables of interest in logistic models, retaining all potential interactions. We dropped interaction terms from the model that were not statistically significant. We also dropped covariates that were not significantly associated with hysterectomy and that did not appreciably change the odds ratio between ethnicity and hysterectomy.
We conducted additional analyses by dividing the Hispanic women by level of acculturation. This set of analyses took the final model from the first set of analyses as its starting point. We modified the model to increase the precision of the estimates by eliminating factors with small sample sizes and those that made little difference in the overall estimate.
The NHIS sample is designed to be representative of the US population. We analyzed these data with the sample weights so that the findings could be reported in terms of the US population. All analyses were conducted with SUDAAN software (Version 7.0; Research Triangle Institute, Research Triangle, NC) to produce accurate estimates of sampling error.
| RESULTS |
|---|
|
|
|---|
|
The associations between hysterectomy and most of the covariates were similar for both non-Hispanic White women and Hispanic women. There were a few exceptions, however. After adjustment for age, a weak inverse association between years of education and hysterectomy was found among Hispanic women, whereas among non-Hispanic White women there was a strong inverse association. Similarly, a strong association between marital status and hysterectomy was found among non-Hispanic White women, compared with a much weaker association among Hispanic women. The effect of poverty level on hysterectomy also differed by ethnicity. Whereas family income was positively associated with hysterectomy among Hispanic women, it was inversely associated with hysterectomy among non-Hispanic White women.
Based on a review of the preliminary analyses, the initial logistic models included all of the potential covariates, as well as 2-way interaction terms of ethnicity and education, marital status, and family income. Because the interactions with family income and marital status were not significant when all of the other variables were included in the model, they were eliminated.
A significant gradient was observed in the association between ethnicity and hysterectomy by education in the final model (Table 2
). Among women with less than a high school education, the odds ratio for hysterectomy prevalence among Hispanic vs non-Hispanic White women was 0.36. With increasing level of educational attainment, the difference in hysterectomy prevalence by ethnicity (after control for all other factors) became smaller.
|
|
Overall, hysterectomy was positively associated with level of acculturation as measured by the combined acculturation variables (Table 4
). Hispanic women born outside the United States who had lived in the United States less than 10 years were least likely to have had a hysterectomy, whereas Hispanic women born in the United States had a hysterectomy prevalence closer to that of non-Hispanic White women. Also, hysterectomy prevalence was lower among US-born Hispanic women who were interviewed in Spanish, compared with US-born women who were interviewed solely in English. Because of the small sample sizes, the education interaction was not included in this model.
|
Separate models were also constructed for Hispanics who were interviewed in Spanish and those who were interviewed in English. We obtained virtually the same findings as in the birthplace analysis.
| DISCUSSION |
|---|
|
|
|---|
Many characteristics, such as low education, low income, and poor health status, were found at a higher prevalence among Hispanic women than among non-Hispanic White women. Therefore, comparing the prevalence of hysterectomy by ethnicity11 does not yield any information regarding how much of the difference is explained by ethnicity alone. The associations between sociodemographic characteristics and hysterectomy that have been found among White women were not found with Hispanic women. If those associations had been the same, one would expect hysterectomy rates among Hispanic women to be even higher than those of non-Hispanic White women.
It has been argued that the use of medical procedures such as hysterectomy by Hispanic women may be influenced by their degree of acculturation. Language barriers and cultural definitions of health and illness affect health behaviors of Hispanics in the United States.22,33 It has also been noted that some Hispanic women report feeling less comfortable being examined by medical professionals of the opposite sex, and more embarrassed during an examination, than do non-Hispanic White women.34 Although the NHIS data do not provide very specific information on acculturation, we did find a striking difference in hysterectomy by level of acculturation as measured by our proxy acculturation variables (country of birth and language of interview).
One of the main limitations of the NHIS data in the analysis of hysterectomy is that the data are obtained cross-sectionally by self-report. Thus, we do not know how long ago a respondent underwent her hysterectomy, nor do we have medical records verifying the procedure. Hysterectomy seems to be fairly accurately self-reported, however.35 The information collected on covariates during the survey may be very different from the values of these items at the time of the hysterectomy. Some variables, such as education, probably are fairly stable over time. Other variables, such as income, health status, and age, may have changed a great deal. There is no way to know how much this limitation of the data affected the results of the analysis. All of the associations between hysterectomy and the covariates were in the same direction as would be expected, at least among nonHispanic White women. Unless the status of these variables changes more often among Hispanic women than among White women, we can assume that the findings are probably robust, although confounding may not have been fully controlled.
The cross-sectional nature of the survey limited our ability to use several potentially important confounders. In this analysis, we found no significant association between household income and hysterectomy, most likely owing to the dynamic nature of this variable. Thus, some confounding by these variables probably remained in the association with ethnicity reported. Such confounding could only be addressed by using a different data source that collects information at the time of hysterectomy.
Some variables considered to be important predictors of hysterectomyfor example, parity and age at first birth7,8were not available in the NHIS data set. We explored this limitation by conducting a subanalysis of women aged 45 years and older, thereby excluding those women we knew had had a hysterectomy earlier in life, when parity strongly influences hysterectomy prevalence.17 Although this subanalysis only partially controlled for the effect of parity on hysterectomy prevalence, we found almost the exactly same effect of ethnicity among women aged 45 years and older as we did with women aged 25 years and older.
Although the NHIS data are not collected specifically to address the question of hysterectomy prevalence among Hispanic women, their strength stems from the large sample size and oversampling of Hispanic households. Furthermore, because of the nationally representative nature of the survey, the association found in this analysis is not a result of a phenomenon specific to a certain geographic locale or Hispanic subpopulation. When the analyses were conducted by Hispanic subgroup, we still found a significantly lower prevalence of hysterectomy compared with non-Hispanic White women.
In general, this analysis indicates that Hispanic women tend to undergo hysterectomy infrequently, with much smaller differences by covariates than are seen in non-Hispanic White women. This analysis also suggests that the size of the difference in the prevalence of hysterectomy lessens as acculturation increases among Hispanic women. US rates of hysterectomy, which in general is a treatment for conditions that are not life-threatening, are much higher than rates found in most other industrialized countries.4,5 Thus, our results may point to an overuse of the procedure among non-Hispanic White US women, rather than to an underuse of the procedure among Hispanic women. Education and income, in general, tend to be inversely associated with hysterectomy among White women,712 possibly indicating that this procedure is used by women for whom other, less invasive forms of medical care are not exploited. It has been speculated by Bunker36 that performing hysterectomies on less educated women may be more expedient than educating them. On the other hand, Hispanic women may be more tolerant of chronic physical discomfort than are non-Hispanic White women, or Hispanic women who are more removed from the health care sector may not be receiving the care they truly need and deserve; the quality of life of women who undergo hysterectomy is reported to improve after surgery.3739
Because previous research has found a high degree of inappropriate recommendations for hysterectomy,40,41 a next step in this research would be to look at the medical necessity of hysterectomy among Hispanic and non-Hispanic women and assess any differences. This avenue of research could also investigate numbers and types of treatments used before performing hysterectomy within each ethnic/racial group. Additional studies to investigate the specific reasons for lower hysterectomy prevalence among Hispanic women are also warranted.
| Acknowledgments |
|---|
No protocol approval was needed for this study.
| Footnotes |
|---|
Accepted for publication April 14, 2002.
| References |
|---|
|
|
|---|
2. Lepine LA, Hillis SD, Marchbanks PA, et al. Hysterectomy surveillanceUnited States, 19801993. MMWR CDC Surveill Summ.1997:46(SS-4):116.
3. Pokras R, Hufnagel VG. Hysterectomies in the United States. Vital Health Stat 13. 1987;No. 92:132.
4. Ong S, Codd MB, Coughlan M, OHerlihy C. Prevalence of hysterectomy in Ireland. Int J Gynaecol Obstet.2000;69:243247.[Medline]
5. Bachmann GA. Hysterectomy. A critical review. J Reprod Med.1990;35:839862.[ISI][Medline]
6. Vessey MP, Villard-Mackintosh L, McPherson K, Coulter A, Yeates D. The epidemiology of hysterectomy: findings in a large cohort study. Br J Obstet Gynaecol.1992;99:402407.[ISI][Medline]
7. Brett KM, Marsh JV, Madans JH. Epidemiology of hysterectomy in the United States: demographic and reproductive factors in a nationally representative sample. J Womens Health.1997;6:309316.[ISI][Medline]
8. Meilahn EN, Matthews KA, Egeland G, Kelsey SF. Characteristics of women with hysterectomy. Maturitas.1989;11:319329.[ISI][Medline]
9. Marks NF, Shinberg DS. Socioeconomic differences in hysterectomy: the Wisconsin Longitudinal Study. Am J Public Health.1997;87:15071514.
10. Harlow BL, Barbieri RL. Influence of education on risk of hysterectomy before age 45 years. Am J Epidemiol.1999;150:843847.
11. Kjerulff K, Langenberg P, Guzinski G. The socioeconomic correlates of hysterectomies in the United States. Am J Public Health.1993;83:106108.
12. Haas S, Acker D, Donahue C, Katz ME. Variation in hysterectomy rates across small geographic areas of Massachusetts. Am J Obstet Gynecol.1993;169:150154.[ISI][Medline]
13. Wilcox LS, Koonin LM, Pokras R, Strauss LT, Xia Z, Peterson HB. Hysterectomy in the United States, 19881990. Obstet Gynecol.1994;83:549555.[ISI][Medline]
14. Kjerulff KH, Guzinski GM, Langenberg PW, Stolley PD, Moye NE, Kazandjian VA. Hysterectomy and race. Obstet Gynecol.1993;82:757764.
15. Galavotti C, Richter DL. Talking about hysterectomy: the experiences of women from four cultural groups. J Womens Health Gend Based Med.2000:9(suppl 2):S63S67.
16. Groff JY, Mullen PD, Byrd T, Shelton AJ, Lees E, Goode J. Decision making, beliefs, and attitudes toward hysterectomy: a focus group study with medically underserved women in Texas. J Womens Health Gend Based Med.2000:9(suppl 2):S39S50.
17. Abma JC, Chandra A, Mosher WD, Peterson LS, Piccinino LJ. Fertility, family planning, and womens health: new data from the 1995 National Survey of Family Growth. Vital Health Stat 23. 1997;No. 19:1114.
18. Carlisle DM, Valdez RB, Shapiro MF, Brook RH. Geographic variation in rates of selected surgical procedures within Los Angeles County. Health Serv Res.1995;30:2742.[ISI][Medline]
19. Schur CL, Albers LA, Berk ML. Health care use of Hispanic adults: financial vs non-financial determinants. Health Care Financ Rev.1995;17:7188.[Medline]
20. Leclere FB, Jensen L, Biddlecom AE. Health care utilization, family context, and adaptation among immigrants to the United States. J Health Soc Behav.1994;35:370384.[ISI][Medline]
21. Zuvekas SH. Weinick RM. Changes in access to care, 19771996: the role of health insurance. Health Serv Res.1999;34(1 pt 2):271279.[ISI][Medline]
22. Lewis CE, Groff JY, Herman CJ, McKeown RE, Wilcox LS. Overview of womens decision making regarding elective hysterectomy, oophorectomy, and hormone replacement therapy. J Womens Health Gend Based Med.2000:9(suppl 2):S9S14.
23. Suarez L. Pap smear and mammogram screening in Mexican American women: the effects of acculturation. Am J Public Health.1994;84:742746.
24. Bush RA, Langer RD. The effects of insurance coverage and ethnicity on mammography utilization in a postmenopausal population. West J Med.1998;168:236240.[ISI][Medline]
25. Zambrana RE, Breen N, Fox SA, Gutierrez-Mohamed ML. Use of cancer screening practices by Hispanic women: analyses by subgroup. Prev Med.1999;29(6 pt 1):466477.[ISI][Medline]
26. US Census Bureau. National population projections: total population by race, Hispanic origin, and nativity. Available at: http://www.census.gov/population/www/projections/natsum-T5.html. Accessed November 4, 2002.
27. National Center for Health Statistics. 1998 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description. Hyattsville, Md: National Center for Health Statistics, Centers for Disease Control and Prevention; 2000. Available at: ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/1998/srvydesc.pdf. Accessed November 4, 2002.
28. National Center for Health Statistics. 1999 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description. Hyattsville, Md: National Center for Health Statistics, Centers for Disease Control and Prevention; 2002. Available at: ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/1999/srvydesc.pdf. Accessed November 4, 2002.
29. Ettner SL. The relationship between continuity of care and the health behaviors of patients: does having a usual physician make a difference? Med Care.1999;37:547555.[ISI][Medline]
30. Sox CM, Swartz K, Burstin HR, Brennan TA. Insurance or a regular physician: which is the most powerful predictor of health care? Am J Public Health.1998;88:364370.
31. Rock JA. Quality-of-life assessment in gynecologic surgery. J Reprod Med.2001;46(suppl 5):515519.[ISI][Medline]
32. SUDAAN [computer program]. Version 7.0. Research Triangle Park, NC: Research Triangle Institute; 1996.
33. Molina C, Zambrana RE, Aguirre-Molina M. The influence of culture, class and environment on health care. In: Molina CW, Aguirre-Molina M, eds. Latino Health in the US: A Growing Challenge. Washington DC: American Public Health Association; 1994:2343.
34. Frank-Stromborg M, Olsen SJ. Cancer Prevention in Minority Populations: Cultural Implications for Health Care Professionals. St. Louis, Mo: Mosby; 1993.
35. Brett KM, Madans JH. Hysterectomy use: the correspondence between self-reports and hospital records. Am J Public Health.1994;84:16531655.
36. Bunker JP. Performing hysterectomy in low income women may be easier than educating them. BMJ.1997;315:603.
37. Clarke A, Black N, Rowe P, Mott S, Howle K. Indications for and outcome of total abdominal hysterectomy for benign disease: a prospective cohort study. Br J Obstet Gynaecol.1995;102:611620.[ISI][Medline]
38. Carlson KJ, Miller BA, Fowler FJ Jr. The Maine Womens Health Study, I: outcomes of hysterectomy. Obstet Gynecol.1994;83:556565.[ISI][Medline]
39. Rannestad T, Eikeland OJ, Helland H, Qvarnstrom U. Are the physiologically and psychosocially based symptoms in women suffering from gynecological disorders alleviated by means of hysterectomy? J Womens Health Gend Based Med.2001;10:579587.[ISI][Medline]
40. Broder MS, Kanouse DE, Mittman BS, Bernstein SJ. The appropriateness of recommendations for hysterectomy. Obstet Gynecol.2000;95:199205.
41. Bernstein SJ, McGlynn EA, Siu AL, et al. The appropriateness of hysterectomy. A comparison of care in seven health plans. Health Maintenance Organization Quality of Care Consortium. JAMA.1993;269:23982402.[Abstract]
This article has been cited by other articles:
![]() |
C. A. Sklar, A. C. Mertens, P. Mitby, J. Whitton, M. Stovall, C. Kasper, J. Mulder, D. Green, H. S. Nicholson, Y. Yasui, et al. Premature Menopause in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study. J Natl Cancer Inst, July 5, 2006; 98(13): 890 - 896. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. M. Wilson and C. E. Orians Considerations in Recruiting Underscreened Women to Focus Groups on Screening for Cervical Cancer Health Promot Pract, October 1, 2005; 6(4): 379 - 384. [Abstract] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |