Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Alcohol Treat Q. 2016 Dec 12;35(1):63–70. doi: 10.1080/07347324.2016.1256716

Relationship between Provider Stigma and Predictors of Staff Turnover among Addiction Treatment Providers

Magdalena Kulesza a, Sarah B Hunter a, Amy L Shearer a,b, Marika Booth a
PMCID: PMC5675578  NIHMSID: NIHMS884937  PMID: 29129956

Abstract

To further our knowledge about feasible targets for improving quality of addiction treatment services, the current study provides preliminary assessment of the relationship between provider stigma and indicators of staff turnover. As predicted, results suggest that higher provider stigma was significantly related to lower ratings of job satisfaction and workplace climate. However, provider stigma was not significantly related to burnout. Our preliminary findings, if replicated, suggest the importance of considering provider stigma as a risk factor for future staff turnover and job dissatisfaction. Promising provider stigma interventions do exist and offer viable opportunity for improving quality of addiction treatment.

Keywords: Addiction treatment facilities, provider stigma, staff turnover, burnout, job satisfaction, workplace climate

Introduction

The importance of providing high-quality treatment for substance use disorders (SUDs) cannot be overstated given that an estimated 22.5 million people are in need of it (Substance Abuse and Mental Health Services Administration, 2014). Unfortunately, there are concerns about the quality of available services (McLellan, Carise, & Kleber, 2003; Miller, Sheppard, Colenda, & Magen, 2001) and high rates of staff turnover (Eby, Burk, & Maher, 2010; Garner, Hunter, Modisette, Ihnes, & Godley, 2012; Knudsen, Ducharme, & Roman, 2006, 2009). Because staff turnover has a detrimental impact on quality of care for SUDs (Ducharme, Knudsen, & Roman, 2008; Knight, Broome, Simpson, & Flynn, 2008), it is important to identify potential intervention targets for improving retention rates among treatment providers.

Provider burnout (Ducharme et al., 2007; Knudsen et al., 2009; Knudsen, Roman, & Abraham, 2013), low job satisfaction (Eby & Rothrauff-Loschober, 2012; Knight, Broome, Edwards, & Flynn, 2011), and negative opinion about workplace climate (Knudsen et al., 2013; McNulty, Oser, Johnson, Knudsen, & Roman, 2007; Rothrauff, Abraham, Bride, & Roman, 2011) may be a risk factor for attrition. Unfortunately, the underlying component behind these constructs (i.e., dissatisfying work environment) does not easily render itself for an intervention. Given its potential for attenuation (Hayes et al., 2004) and likely relevance to staff turnover, this study focused on provider stigma.

Based on studies conducted predominantly in medical settings, health care providers endorse negative views toward patients with SUDs (see Howard & Chung, 2000; Kelleher, 2007; von Boeckel, Brouwers, Van Weeghel, & Garretsen, 2013 for reviews). Provider stigma is associated with lower quality of care (Kelleher, 2007; von Boeckel et al., 2013), increased burnout (Hayes et al., 2004; Vilardaga et al., 2011), higher turnover intentions (von Hippel, Brener, & von Hippel, 2008), and lower ratings of job satisfaction (Ford, Bammer, & Becker, 2008, 2009) and workplace climate (Vilardaga et al., 2011).

Arguably, provider stigma, burnout, job satisfaction, and workplace climate play an integral role in quality of care through their influence on staff turnover. Still, with the notable exception of Hayes et al. (2004), the majority of prior studies were conducted either within medical settings or high-resource addiction treatment centers thereby limiting their generalizability (Knudsen, Knudsen, Ducharme, & Roman, 2007; von Boeckel, Brouwers, van Weeghel, & Garretsen, 2014). Therefore, it is important to study these factors within community addiction treatment facilities, which is the focus of this study.

Method

Participants and procedures

We conducted secondary data analysis from two waves of a web-based survey (i.e., Fall 2014 and Winter 2015) of treatment providers (N = 38) in publicly funded addiction treatment facilities in Los Angeles county. Participants were 62% female, 50% Caucasian, and majority (i.e., 64%) worked in the residential treatment facilities. Study was approved by the research organization’s Institutional Review Board, and all participants provided informed consent.

Measures

Job satisfaction and workplace climate were assessed by the Satisfaction and Mission scale, respectively, from the Texas Christian University Survey of Organizational Functioning (TCU SOF; 2005). For job satisfaction, participants responded to six items reflecting the extent to which they like their colleagues, value what they do, and feel appreciated for their work. Workplace climate was measured by five questions reflecting the extent to which participants endorse main goals and objectives of their workplace. Higher scores (1 = disagree strongly to 5 = agree strongly) indicate more job satisfaction or better workplace climate.

Burnout was assessed through the Exhaustion Scale of the Maslach Burnout Inventory–Human Services Survey (MBI-HSS; Maslach & Jackson, 1996). Responding to nine questions participants reported the frequency of emotional and physical job fatigue (0 = never to 6 = every day), with higher scores indicating more burnout.

Provider stigma was evaluated by an adapted version of the Perceived Discrimination and Devaluation Scale (PDDS; Link, Cullen, Struening, Shrout, & Dohrenwend, 1989). The PDDS asks about participants’ perceptions of how other people would feel toward individuals with mental illness and has been adapted to other populations, including individuals with SUDs (i.e., Schomerus, Matschinger, Lucht, Angermeyer, 2014). Participants were asked to rate each of the 12 items in Table 1 (1 = strongly disagree to 6 = strongly agree), with higher scores corresponding to greater endorsement of provider stigma.

Table 1.

Percent of participants endorsing agreement with the provider stigma items.

Provider Stigma Item Agreementa
1. Most people would willingly accept someone with history of substance use problems as a close friend.b 71.7%
2. Most people believe that someone with history of substance use problems is just as intelligent as the average person.b 64.2%
3. Most people believe that someone with history of substance use problems is just as trustworthy as the average citizen.b 55.8%
4. Most people would accept someone with history of substance use problems as a teacher of young children in a public school.b 38.5%
5. Most people feel that entering a treatment facility of substance use problems is a sign of personal failure. 52.8%
6. Most people would not hire someone with a history of substance use problems to take care of their children, even if he or she had been clean for some time. 60.4%
7. Most people think less of someone with a history of substance use problems. 56.6%
8. Most employers will hire someone with a history of substance use problems if he or she is qualified for the job.b 64.2%
9. Most employers will pass over the application of someone with a history of substance use problems in favor or another applicant. 60.4%
10. Most people in my community would treat someone with a history of substance use problems just as they would treat anyone.b 59.5%
11. Most young women would be reluctant to date a man with a history of substance use problems. 64.2%
12. Once they know a person has a history of substance use problems, most people will take his or her opinions less seriously. 52.8%
a

Percent of participants, who at least “somewhat agreed” with each statement.

b

Agreement with these items represents lower stigma. Thus, they were reverse-coded.

Analytic strategy

Separate stepwise linear regression models were used to test the hypothesis that provider stigma predicted each of the three outcomes (i.e., job satisfaction, burnout, and workplace climate) after controlling for a prior assessment of these variables. Thus, we were able to ascertain whether provider stigma accounted for additional variance in each of the three outcomes.

Results

As presented in Table 1, provider burnout was modest (M = 13.56, SD = 11.43), participants’ job satisfaction (M = 40.48, SD = 6.08) and workplace climate (M = 36.74, SD = 7.07) ratings were favorable, and they expressed neutral attitudes toward individuals with a history of SUDs (M = 42.06, SD = 19.02).

Job satisfaction entered in Step 1 accounted for 29% of the variance, F(1, 36) = 16.74, p < .001 (see Table 2). Next, provider stigma was added, leading to significantly improved model fit F(2, 35) = 12.23, p < .001 and 38% of outcome variance explained. Higher provider stigma was significantly related to lower job satisfaction.

Table 2.

Summary of sequential regression analysis of provider stigma as a predictor of job satisfaction, workplace climate, and professional burnout, N = 38.

Step β SE β Adjusted R2 ΔR2
Job Satisfaction Wave 2
1. Job satisfaction Wave 1 .58*** .13 .29*** .29**
2. Provider stigma −.31* .16 .38* .09*
Workplace Climate Wave 2
1. Workplace climate Wave 1 .67*** .12 .40*** .40
2. Provider stigma −.25* .26 .46* .06*
Professional Burnout Wave 2
1. Professional burnout Wave 1 .78*** .12 .60*** .60
2. Provider stigma .01 .16 .59 .01
*

p < .05.

***

p < .001.

Workplace climate entered in Step 1 accounted for 40% of the variance, F (1, 36) = 26.52, p < .001. Addition of provider stigma led to significant improvement in model fit F(2, 35) = 16.51, p < .001 and 46% of variance explained. Higher provider stigma was significantly related to lower ratings of workplace climate.

Burnout entered in Step 1 accounted for 60% of the variance, F(1, 36) = 57.02, p < .001. Provider stigma did not improve model fit, F(2, 35) = 27.73, p < .00, suggesting lack of a significant relationship between provider stigma and burnout.

Discussion

The current pilot study is one of the first to focus on the relationships between provider stigma and variables related to staff turnover within community SUDs treatment facilities. Participants’ responses to provider stigma questions are consistent with past research documenting stigmatizing views toward individuals with SUDs among health care providers in medical settings (Kelleher, 2007; von Boeckel et al., 2013).

In line with prior work (Ford et al., 2008, 2009), our preliminary data suggests that addiction treatment providers endorsing more prejudicial views were significantly less satisfied with their job, even after controlling for earlier job satisfaction. Although these results need to be replicated, there is an accumulating body of evidence that negative views toward patients with SUDs might be related to job satisfaction.

Treatment providers, who more strongly endorsed prejudicial views toward individuals with a history of SUDs, expressed significantly worse opinions about workplace climate. Although preliminary, our results are consistent with those reported by Vilardaga et al. (2011) suggesting a significant relationship between provider stigma and lower endorsement of workplace climate among providers in high-resource SUDs treatment facilities. Further, job satisfaction and workplace climate both represent participants’ views of structural factors within the workplace. Our results suggest a consistent relationship between structural factors and provider stigma.

We did not find support for the relationship between provider stigma and professional burnout. These results are contrary to our prediction and prior studies, which were mostly based in settings different from the addiction community clinics represented here (Hayes et al., 2004; Vilardaga et al., 2011; von Hippel et al., 2008). Still, this study is limited due to small sample size. Hence, our discrepant findings ought to be interpreted with considerable restraint.

Negative opinion about workplace climate has been related to lower job satisfaction (Albery et al., 2003; Ford et al., 2008, 2009) as well as higher burnout and work-related stress among addiction treatment providers (Farmer, Clancy, Oyefeso, & Rassool, 2002; Shoptaw, Stein, & Rawson, 2000; Vilardaga et al., 2011). Consequently, there is a need to address such systemic problems within SUDs treatment settings. In light of our preliminary support for the relationship between provider stigma and job satisfaction and workplace climate, it’s possible that provider stigma interventions might be related to improvements in providers’ views about their work (Hayes et al., 2004). This, in turn, might be related to lower staff turnover rates (Knudsen et al., 2013) thereby leading to improvements in clinical care and patient outcomes (Ducharme et al., 2007; Knight et al., 2011).

These results should be interpreted in light of several limitations. First, given that our sample was recruited in California, the generalizability of our data is limited. Second, due to a small sample size and cross-sectional design, more research is warranted with larger samples and longitudinal design to clarify the nature of the relationship between provider stigma and variables related to staff turnover. Third, our provider stigma instrument consisted of questions about participants’ perceptions of the extent to which individuals coping with SUDs are viewed negatively by others. Although these constructs are related, and perceived stigma measures have been used in prior studies (Fortney et al., 2004; Keyes et al., 2010; Li et al., 2013), reports of more direct inquiries into providers’ attitudes are warranted to gain a better understanding of this complex and understudied phenomenon. Fourth, we were unable to assess the extent to which social desirability impacted participants’ responses. Because implicit stigma measures are thought to address social desirability concerns (van Boeckel et al., 2014; von Hippel et al., 2008), our results ought to be replicated by with multimethod assessment procedures.

Footnotes

The authors report no conflicts of interest.

References

  1. Albery IP, Heuston J, Ward J, Groves P, Durand MA, Gossop M, Strang J. Measuring therapeutic attitude among drug workers. Addictive Behaviors. 2003;28(5):995–1005. doi: 10.1016/s0306-4603(01)00288-x. [DOI] [PubMed] [Google Scholar]
  2. Ducharme LJ, Knudsen HK, Roman PM. Emotional exhaustion and turnover intention in human service occupations: The protective role of coworker support. Sociological Spectrum. 2007;28(1):81–104. [Google Scholar]
  3. Eby LT, Burk H, Maher CP. How serious of a problem is staff turnover in substance abuse treatment? A longitudinal study of actual turnover. Journal of Substance Abuse Treatment. 2010;39(3):264–271. doi: 10.1016/j.jsat.2010.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Eby LT, Rothrauff-Laschober TC. The relationship between perceptions of organizational functioning and voluntary counselor turnover: A four-wave longitudinal study. Journal of Substance Abuse Treatment. 2012;42(2):151–158. doi: 10.1016/j.jsat.2011.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Farmer R, Clancy C, Oyefeso A, Rassool GH. Stress and work with substance misusers: The development and cross-validation of a new instrument to measure staff stress. Drugs: Education, Prevention, and Policy. 2002;9(4):377–388. [Google Scholar]
  6. Ford R, Bammer G, Becker N. The determinants of nurses’ therapeutic attitude to patients who use illicit drugs and implications for workforce development. Journal of Clinical Nursing. 2008;17(18):2452–2462. doi: 10.1111/j.1365-2702.2007.02266.x. [DOI] [PubMed] [Google Scholar]
  7. Ford R, Bammer G, Becker N. Improving nurses’ therapeutic attitude to patients who use illicit drugs: Workplace drug and alcohol education is not enough. International Journal of Nursing Practice. 2009;15(2):112–118. doi: 10.1111/j.1440-172X.2009.01732.x. [DOI] [PubMed] [Google Scholar]
  8. Fortney J, Mukherjee S, Curran G, Fortney S, Han X, Booth BM. Factors associated with perceived stigma for alcohol use and treatment among at-risk drinkers. Journal of Behavioral Health Services & Research. 2004;31(4):418–429. doi: 10.1007/BF02287693. [DOI] [PubMed] [Google Scholar]
  9. Garner BR, Hunter BD, Modisette KC, Ihnes PC, Godley SH. Treatment staff turnover in organizations implementing evidence-based practices: Turnover rates and their association with client outcomes. Journal of Substance Abuse Treatment. 2012;42(2):134–142. doi: 10.1016/j.jsat.2011.10.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Hayes SC, Bissett R, Roget N, Padilla M, Kohlenberg BS, Fisher G, … Niccolls R. The impact of acceptance and commitment training and multicultural training on the stigmatizing attitudes and professional burnout of substance abuse counselors. Behavior Therapy. 2004;35(4):821–835. [Google Scholar]
  11. Howard MO, Chung SS. Nurses’ attitudes toward substance misusers. I. Surveys. Substance Use & Misuse. 2000;35(3):347–365. doi: 10.3109/10826080009147701. [DOI] [PubMed] [Google Scholar]
  12. Kelleher S. Health care professionals’ knowledge and attitudes regarding substance use and substance users. Accident and Emergency Nursing. 2007;15(3):161–165. doi: 10.1016/j.aaen.2007.05.005. [DOI] [PubMed] [Google Scholar]
  13. Keyes KM, Hatzenbuehler ML, McLaughlin KA, Link B, Olfson M, Grant BF, Hasin D. Stigma and treatment for alcohol disorders in the United States. American Journal of Epidemiology. 2010;172(12):1364–1372. doi: 10.1093/aje/kwq304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Knight DK, Broome KM, Edwards JR, Flynn PM. Supervisory turnover in outpatient substance abuse treatment. Journal of Behavioral Health Services & Research. 2011;38(1):80–90. doi: 10.1007/s11414-009-9198-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Knight DK, Broome KM, Simpson DD, Flynn PM. Program structure and counselor–client contact in outpatient substance abuse treatment. Health Services Research. 2008;43(2):616–634. doi: 10.1111/j.1475-6773.2007.00778.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Knudsen HK, Ducharme LJ, Roman PM. Counselor emotional exhaustion and turnover intention in therapeutic communities. Journal of Substance Abuse Treatment. 2006;31(2):173–180. doi: 10.1016/j.jsat.2006.04.003. [DOI] [PubMed] [Google Scholar]
  17. Knudsen HK, Ducharme LJ, Roman PM. Turnover intention and emotional exhaustion” at the top”: Adapting the job demands-resources model to leaders of addiction treatment organizations. Journal of Occupational Health Psychology. 2009;14(1):84–95. doi: 10.1037/a0013822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Knudsen HK, Knudsen HK, Ducharme LJ, Roman PM. Research network involvement and addiction treatment center staff: Counselor attitudes toward buprenorphine. American Journal on Addictions. 2007;16(5):365–371. doi: 10.1080/10550490701525418. [DOI] [PubMed] [Google Scholar]
  19. Knudsen HK, Roman PM, Abraham AJ. Quality of clinical supervision and counselor emotional exhaustion: The potential mediating roles of organizational and occupational commitment. Journal of Substance Abuse Treatment. 2013;44(5):528–533. doi: 10.1016/j.jsat.2012.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Li L, Wu Z, Liang LJ, Lin C, Zhang L, Guo S, Li J. An intervention targeting service providers and clients for methadone maintenance treatment in China: A cluster-randomized trial. Addiction. 2013;108(2):356–366. doi: 10.1111/j.1360-0443.2012.04020.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Link BG, Cullen FT, Struening E, Shrout PE, Dohrenwend BP. A modified labeling theory approach to mental disorders: An empirical assessment. American Sociological Review. 1989;54:400–423. [Google Scholar]
  22. Maslach C, Jackson SE. Maslach Burnout Inventory-Human Services Survey (MBI-HSS) In: Maslach C, Jackson SE, Leiter MP, editors. MBI manual. 3. Palo Alto, CA: Consulting Psychologists Press; 1996. pp. 191–218. [Google Scholar]
  23. McLellan AT, Carise D, Kleber HD. Can the national addiction treatment infrastructure support the public’s demand for quality care? Journal of Substance Abuse Treatment. 2003;25(2):117–121. [PubMed] [Google Scholar]
  24. McNulty TL, Oser CB, Aaron Johnson J, Knudsen HK, Roman PM. Counselor turnover in substance abuse treatment centers: An organizational-level analysis. Sociological Inquiry. 2007;77(2):166–193. [Google Scholar]
  25. Miller NS, Sheppard LM, Colenda CC, Magen J. Why physicians are unprepared to treat patients who have alcohol-and drug-related disorders. Academic Medicine. 2001;76(5):410–418. doi: 10.1097/00001888-200105000-00007. [DOI] [PubMed] [Google Scholar]
  26. Rothrauff TC, Abraham AJ, Bride BE, Roman PM. Occupational turnover intentions among substance abuse counselors. Journal of Substance Abuse Treatment. 2011;40(1):67–76. doi: 10.1016/j.jsat.2010.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Schomerus G, Matschinger H, Lucht MJ, Angermeyer MC. Changes in the perception of alcohol-related stigma in Germany over the last two decades. Drug and Alcohol Dependence. 2014;143:225–231. doi: 10.1016/j.drugalcdep.2014.07.033. [DOI] [PubMed] [Google Scholar]
  28. Shoptaw S, Stein JA, Rawson RA. Burnout in substance abuse counselors: Impact of environment, attitudes, and clients with HIV. Journal of Substance Abuse Treatment. 2000;19(2):117–126. doi: 10.1016/s0740-5472(99)00106-3. [DOI] [PubMed] [Google Scholar]
  29. Substance Abuse and Mental Health Services Administration. Results from the 2013 National Survey on Drug Use and Health: Summary of national findings. Rockville, MD: Author; 2014. NSDUH Series H-48, HHS Publication No. (SMA) 14–4863. [PubMed] [Google Scholar]
  30. Texas Christian University. Survey of organizational functioning (TCU SOF) Fort Worth, TX: TCU Institute of Behavioral Research; 2005. [Google Scholar]
  31. van Boekel LC, Brouwers EP, Van Weeghel J, Garretsen HF. Stigma among health professionals towards patients with substance use disorders and its consequences for healthcare delivery: Systematic review. Drug and Alcohol Dependence. 2013;131(1):23–35. doi: 10.1016/j.drugalcdep.2013.02.018. [DOI] [PubMed] [Google Scholar]
  32. van Boekel LC, Brouwers EP, van Weeghel J, Garretsen HF. Healthcare professionals’ regard towards working with patients with substance use disorders: Comparison of primary care, general psychiatry and specialist addiction services. Drug and Alcohol Dependence. 2014;134:92–98. doi: 10.1016/j.drugalcdep.2013.09.012. [DOI] [PubMed] [Google Scholar]
  33. Vilardaga R, Luoma JB, Hayes SC, Pistorello J, Levin ME, Hildebrandt MJ, … Bond F. Burnout among the addiction counseling workforce: The differential roles of mindfulness and values-based processes and work-site factors. Journal of Substance Abuse Treatment. 2011;40(4):323–335. doi: 10.1016/j.jsat.2010.11.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. von Hippel W, Brener L, von Hippel C. Implicit prejudice toward injecting drug users predicts intentions to change jobs among drug and alcohol nurses. Psychological Science. 2008;19(1):7–11. doi: 10.1111/j.1467-9280.2008.02037.x. [DOI] [PubMed] [Google Scholar]

RESOURCES