A DIVERSITY AUDIT IN A HOSPITAL SETTING
John P. Gaze, Ph.D., FACHE
Assistant Professor, Colleges of Business Administration and Health Sciences Touro University International
EXECUTIVE SUMMARY
The purpose of this study was to determine the extent to which employee receptivity of diversity and diversity management strategies varied by gender, and ethnicity in a sample of government and military employees from an overseas U.S. Navy Medical Treatment Facility (MTF). Employee attitudes toward diversity and diversity management were measured using previously established receptivity to diversity scales. The major findings of this study are: (1) In general, employees were receptive to diversity and diversity management; (2) Ethnic groups were found to differ on the measures given with: (2a) Male Asian Americans reporting significantly more receptivity to both diversity and diversity management than Caucasians, and (2b) Hispanics reporting more receptivity to diversity management than Caucasians. Possible explanations for this are discussed. Managerial implications stemming from this study are: (1) Leaders who recognize and understand employee preferences based on ethnicity and gender will be better prepared to encourage a diverse workforce to work together towards a common goal; (2) Diversity management can be a benefit to employees and organizations; (3) Receptivity to diversity is thought to be a prerequisite of diversity management; (4) Hiring the right staff, focusing on team skills, diversity training, conducting audits and leadership support are important elements of a diversity management strategy. Similar studies should be conducted to confirm the results of this study, and to find ways to improve diversity management approaches and methods in both military and civilian healthcare organizations.
INTRODUCTION
There has been a movement by many U.S. organizations (for example, Ford, 3M and American Express) over the last two decades to place more emphasis on valuing employee differences, and developing diversity management initiatives (policies and programs that benefit all employees regardless of differences for a common goal). The benefits of a diverse workforce are the topic of discussion in many organizations in a variety of industries. At the same time, organizations are faced with understanding the importance of valuing differences and instituting effective diversity management initiatives as counter-measures to protect themselves from such negative consequences as lawsuits, loss of competitive advantage and diminished legitimacy in the eyes of the customers they serve.
The increase in females and racial minority entrants in the work force, along with employers’ concerns about motivating and obtaining satisfactory levels of performance from a diverse group of employees, has created an urgency to understand and recognize the value of differences (Soni, 2000). Although literature on diversity has increased, few healthcare management articles have published original research on the subject of racial and ethnic diversity (Dreachslin, Jimpson, Sprainer & Evans, 2001).
The extant literature suggests mixed corporate attitudes toward the philosophy of valuing differences. Historically, several companies have implemented a variety of initiatives for effectively utilizing and managing the current and projected diverse work force, but there are still some that have shown less interest in diversity issues. For example, the Avon Corporation implemented awareness training at all levels of the organization. It formed a multicultural participation council, which included the Chief Executive Officer (CEO), other high-ranking officials of Avon as well as minority employees. On the other hand, a survey of 1,406 U.S. companies by the Hay Group (1992) found that more than 60 percent of the respondents reported that they felt diversity was either not very important or not a high priority for the next two years. Nonetheless, several researchers (Gentile, 1994; Loden & Rosener, 1991; Thomas, 1991) have reported that gender and ethnic differences continue to have a significant effect on the treatment and experiences of people in the work place.
The basic problem is that diversity management strategies call for attention to differences; attention that previous initiatives such as affirmative action and equal employment opportunity practices have tended to regard as illegitimate and possibly discriminatory. Present diversity management strategies require people to recognize, respect and celebrate a culture’s unique identity, customs and traditions, yet avoid over-emphasizing these differences (negative stereotypes) or offering disparate treatment based on them. As such, diversity management initiatives require a distinction that can prove more subtle and potentially controversial in practice than in theory.
LITERATURE REVIEW
The Diversity Management Movement
Shaped by changes in workforce demographics and legislation (Civil Rights Act, 1964 & Equal Employment Opportunity Act, 1972), U.S. Employment practices have evolved in response to numerous factors. While these initially involved legal requirements, moral responsibilities, and responses to internal and external group pressures (Williams & Bauer, 1994), consultants, scholars, and top executives have increasingly advocated the “valuing differences” approach to enhance organizational effectiveness (Cox & Blake, 1991). Valuing differences refers to an appreciation of differences and the creation of an environment in which everyone feels valued and accepted (Svehla, 1994).
The motive
for diversity management now stems more from the fact that in a global
economy, workforce diversity is a reality requiring proper management to achieve
organizational effectiveness (Williams & Bauer, 1994). Diversity management is
concerned with planning and implementing organizational systems and practices to
manage people so that the potential advantages are maximized (Cox, 1993).
Despite the acclaim such management strategies have received by scholars and
managers, whether employees value differences and support diversity management
initiatives remains unclear.
There has been very little research on the development of diversity programs (Kelly & Dobbin, 1998). What is known is that diversity management has been considered by mainstream business organizations like the Society for Human Resource Management to be a legitimate sub-field of human resources management (Kelly & Dobbin, 1998). This paradigm (Giraldo, 1991,) moves beyond a human resource model based solely on legal compliance to one that suggests there is an inherent value in diversity. By the early 1990s, diversity management initiatives were adopted by 70 percent of Fortune 50 companies (Wheeler, 1994). However, the prevalence appeared to be lower among smaller companies (Kelly & Dobbin, 1998). This management trend has continued in recent years (Gathers, 2003), and organizations have had ample guidance in transforming their Equal Employment Opportunity (EEO) and/or Affirmative Action (AA) activities into diversity programs in the form of articles, books, videos, conferences, newsletters and a growing cadre of organizational consultants (Kelly & Dobbin, 1998). Characteristics of diversity management initiatives were similar to those of EEO/AA practices.
Practices included mission statements, diversity action plans, accountability for meeting diversity goals, employee involvement, career development and planning, diversity education and training, and long-term initiatives directed at cultural change within the workplace (Wheeler, 1994). The link between diversity and EEO/AA measures is confirmed by one of the new diversity practices, diversity training. In the narrow sense, diversity training is about compliance, (e.g., EEO, AA and sexual harassment). Although there is strong sentiment that diversity moves far beyond compliance, at this point, practices demonstrate a strong link between the two (Wheeler, 1994).
Councils and advocacy groups have become popular in organizations promoting diversity management initiatives as well. For example, The IBM Company constituted a global workforce council to foster and promote diversity management. The council identified five issues to address, which are cultural awareness and acceptance, multilingualism, diversity of the management team, the advancement of women and workplace flexibility and balance. In addition, eight task forces were established to optimize satisfaction, productivity and creativity. These task forces were made up of various gender and ethnic groups. Some hospitals have developed similar initiatives (Mott, 2003).
Training has been one of the more popular diversity management tools for organizations over the last several years. Diversity training includes a wide range of training sessions both in type and frequency. For example, Johns Hopkins Hospital conducted training on anti-discrimination law and a more personal cross-cultural communication class. The frequency of these classes ranges from one to two times each year.
The most significant diversity tool in practice today is the audit. The audit utilizes surveys, interviews and focus groups (Thomas, 1991) to measure employee attitudes. Obtaining employee feedback on top diversity issues remains an important tool in healthcare organizations today (Gathers, 2003). However, attempts to change culture are costly long-term projects, and therefore, are much less common than repackaged EEO/AA measures that comprise the core of diversity management (Kelly & Dobbin, 1998). One reason for this may be too many institutions are overwhelmed by too many healthcare challenges (Ruthledge & Wesley, 2001).
The intent of diversity management is to create greater inclusion of all individuals into informal social networks and formal company programs (Sessa, 1992). Moreover, organizations want to ensure that an increasingly diverse group of employees will work together to achieve common goals (Eubanks, 1990). At present, diversity training and EEO/AA practices are performed on a less frequent basis than has been recommended by government polices.
RESEARCH QUESTIONS
Analysis of the above literature suggests that the available research should be extended, and the common body of knowledge on diversity and diversity management be enhanced. In testing a new theoretical model of receptivity to diversity, Soni (2000) did indeed find significant and meaningful differences in how Caucasian males and females, and minority males and females view diversity and diversity management initiatives. However, very little empirical evidence exists about whether or not organizational members within specific racial groups in fact subscribe to the value of diversity and employer supported diversity management initiatives.
This study provides an opportunity to better understand Soni’s (2000) findings and their potential to be generalized in a new setting, by determining the extent to which employee receptivity to diversity and receptivity to diversity management initiatives varied by gender and ethnicity. Unlike the Soni (2000) study that collapsed the racial groups into majority (Caucasian) and minority (African American, Hispanic, etc.), this study enhanced these categories by treating each racial group as a separate category for analysis.
Consequently, the research questions at the heart of this study were defined as follows:
METHODS
The U.S. Navy Medical Treatment Facility’s (MTF) personnel breakdown is comparable to the population percentages of males, females, Whites, Blacks, Asians and Hispanics in the United States Air Force, Army and Navy, and therefore all 100 percent of the MTF population (894 government civilian employees and military service members) were chosen as study subjects, Demographically divided to: 510 males (57%), 384 females (43%); 393 Caucasians (44%), 244 Asian Americans (27%), 176 African American s (20%) and 80 Hispanics (9%).
The survey instrument used in this study was developed using the receptivity to diversity factor conclusions drawn from Soni’s (2000) study. The items in each dimension were additively combined to create indexes reflecting the complex concepts. Cronbach’s alpha coefficient for the indexes ranged from 0.8 to 0.9. Content validity was used as the validity criterion for the instrument. The questions relating to receptivity to diversity and receptivity to diversity management initiatives were rated in the study using a 1-5 Likert scale format, ranging from “strongly disagree” to “strongly agree”.
Data Analysis
Univariate Analysis of Variance (ANOVA) was used to examine the relationships between:
RESULTS
Demographic Data
A sound questionnaire response rate of 57% for males and 43% for females provided for a sample of 328 (224 male and 104 female) subjects broken down into the following ethnic groups: Caucasian: 140 (42.7%); Asian American: 86 (26.2%); African American: 67 (20.4%); Hispanic: 35 (10.7%)
Statistical Analysis
Tables 1 and 2 show the descriptive statistics and between-subjects effects for the dependent variable receptivity to diversity. As can be seen in Table 2 there was no main effect for gender, [F(1,320) = 2.862 (p = .092)] however, the result approached significance with males scoring slightly higher than females on receptivity to diversity (MFemales=3.55; MMales = 3.68).
Table 1
Descriptive Statistics, Dependent Variable: Diversity
|
Gender |
Ethnicity |
Mean |
Std. Deviation |
N |
|
Male |
Caucasian |
3.5108 |
.5752 |
102 |
|
|
Asian American |
4.0000 |
.5116 |
59 |
|
|
African American |
3.6523 |
.5437 |
44 |
|
|
Hispanic |
3.6895 |
.6732 |
19 |
|
|
Total |
3.6826 |
.5932 |
224 |
|
Female |
Caucasian |
3.4342 |
.5625 |
38 |
|
|
Asian American |
3.5481 |
.5041 |
27 |
|
|
African American |
3.5913 |
.4274 |
23 |
|
|
Hispanic |
3.8000 |
.4211 |
16 |
|
|
Total |
3.5548 |
.5076 |
104 |
|
Total |
Caucasian |
3.4900 |
.5708 |
140 |
|
|
Asian American |
3.8581 |
.5485 |
86 |
|
|
African American |
3.6313 |
.5043 |
67 |
|
|
Hispanic |
3.7400 |
.5668 |
35 |
|
|
Total |
3.6421 |
.5698 |
328 |
Table 2
Univariate Analysis of Variance, Tests of Between-Subjects Effects; Dependent Variable: Receptivity to Diversity
|
Source |
Type III Sum of Squares |
Df |
Mean Square |
F |
Sig. |
|
Corrected Model |
11.702 |
7 |
1.672 |
5.664 |
.000 |
|
Intercept |
3146.776 |
1 |
3146.776 |
10660.601 |
.000 |
|
GENDER |
.845 |
1 |
.845 |
2.862 |
.092 |
|
ETHNICITY |
4.708 |
3 |
1.569 |
5.317 |
.001 |
|
GENDER X ETHNICITY |
2.546 |
3 |
.849 |
2.875 |
.036 |
|
Error |
94.457 |
320 |
.295 |
|
|
|
Total |
4456.980 |
328 |
|
|
|
|
Corrected Total |
106.159 |
327 |
|
|
|
As seen in Table 2, the 4 ethnic groups were found to differ significantly in receptivity to diversity [F(3, 320) = 5.317, P=.001]. A Bonferroni multiple comparisons procedure was conducted to determine which means were significantly different across ethnicity. As indicated in Table 3, Asian American employees were found to be significantly more receptive to diversity than Caucasian employees. The significant main effect for ethnicity was qualified by an interaction effect between gender and ethnicity whereby as a group male Asian American employees reported greater receptivity to diversity than Caucasian employees while female Asian American employees did not (see Figure 1).
Table 3
Post Hoc (Bonferroni) Comparisons of Receptivity to Diversity by Racial Group
|
|
|
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
|
(I) Ethnicity |
(J) Ethnicity |
|
|
|
Lower Bound |
Upper Bound |
|
Caucasian |
Asian American |
-.3681*** |
7.444E-02 |
.000 |
-.5657 |
-.1705 |
|
|
African American |
-.1413 |
8.071E-02 |
.485 |
-.3556 |
7.292E-02 |
|
|
Hispanic |
-.2500 |
.1027 |
.093 |
-.5226 |
2.258E-02 |
|
Asian American |
African American |
.2268 |
8.853E-02 |
.065 |
-8.2355E-03 |
.4618 |
|
|
Hispanic |
.1181 |
.1089 |
1.000 |
-.1710 |
.4073 |
|
African American |
Hispanic |
-.1087 |
.1133 |
1.000 |
-.4095 |
.1922 |
*** = Significant at p<.001
Figure 1
Estimated Marginal Means for Receptivity to Diversity by Ethnicity

Tables 4 and 5 show the descriptive statistics and between-subjects effects for the dependent variable receptivity to diversity management. As the F-Test and significance levels presented in Table 5 indicate, there was no significant difference between female and male employees’ receptivity to diversity management scores (MFemales=3.50; MMales = 3.52), F(1, 320) = .173, P=.678.
Table 4
Descriptive Statistics, Dependent Variable: diversity management
|
Gender |
Ethnicity |
Mean |
Std. Deviation |
N |
|
Caucasian |
3.3765 |
.4285 |
102 |
|
|
|
Asian American |
3.7356 |
.4898 |
59 |
|
|
African American |
3.5341 |
.4759 |
44 |
|
|
Hispanic |
3.6158 |
19 |
|
|
|
Total |
3.5223 |
.4817 |
224 |
|
Female |
Caucasian |
3.3658 |
.4634 |
38 |
|
|
Asian American |
3.4889 |
.3886 |
27 |
|
|
African American |
3.5783 |
.3849 |
23 |
|
|
Hispanic |
3.7313 |
.4785 |
16 |
|
|
Total |
3.5010 |
.4434 |
104 |
|
Total |
Caucasian |
3.3736 |
.4366 |
140 |
|
|
Asian American |
3.6581 |
.4724 |
86 |
|
|
African American |
3.5493 |