Skip to main content

Advertisement

SpringerLink
Log in

How Do Peers Shape Mental Health Clinicians’ Attitudes Toward New Treatments?

  • Original Article
  • Published:
Administration and Policy in Mental Health and Mental Health Services Research Aims and scope Submit manuscript

Abstract

Through everyday interactions, mental health clinicians are exposed to their colleagues’ views toward new treatments, which can influence clinicians’ own attitudes and implementation especially in high-stress environments. This study examines how exposure to peers’ attitudes in the workplace through three common workplace interactions (advice sharing, discussion, and friendship) shapes clinicians’ (n = 163) own attitudes toward measurement-based care (MBC). Clinicians tended to have more positive attitudes toward MBC with greater exposure to peers with positive attitudes through advice-sharing and informal workplace discussions, but not through friendships. Results highlight the importance of strong workplace relationships for implementation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aarons, G. A. (2004). Mental health provider attitudes toward adoption of evidence-based practice: The evidence-based practice attitude scale (EBPAS). Mental Health Service Research, 6(2), 61–74.

    Article  Google Scholar 

  • Aarons, G. A. (2005). Measuring provider attitudes toward evidence-based practice: Consideration of organizational context and individual differences. Child and Adolescent Psychiatric Clinics of North America, 14(2), 255–258. https://doi.org/10.1016/j.chc.2004.04.008.

    Article  PubMed  PubMed Central  Google Scholar 

  • Aarons, G. A., Glisson, C., Green, P. D., Hoagwood, K., Kelleher, K. J., Landsverk, J. A., … Schoenwald, S. (2012). The organizational social context of mental health services and clinician attitudes toward evidence-based practice: A United States national study. Implement Science, 7, 56. https://doi.org/10.1186/1748-5908-7-56.

  • Aarons, G. A., & Sawitzky, A. C. (2006). Organizational culture and climate and mental health provider attitudes toward evidence-based practice. Psychological Services, 3(1), 61–72. https://doi.org/10.1037/1541-1559.3.1.61.

    Article  PubMed  PubMed Central  Google Scholar 

  • Balkundi, P., & Harrison, D. A. (2006). Ties, leaders, and time in teams: Strong inference about network structure’s effects on team viability and performance. Academy of Management Journal, 49(1), 49–68. https://doi.org/10.5465/amj.2006.20785500.

    Article  Google Scholar 

  • Bunger, A. C., Doogan, N., Hanson, R. F., & Birken, S. A. (2018). Advice-seeking during implementation: A network study of clinicians participating in a learning collaborative. Implement Science, 13(1), 101. https://doi.org/10.1186/s13012-018-0797-7.

    Article  Google Scholar 

  • Bunger, A. C., Hanson, R. F., Doogan, N. J., Powell, B. J., Cao, Y., & Dunn, J. (2016). Can learning collaboratives support implementation by rewiring professional networks? Administration and Policy in Mental Health, 43(1), 79–92. https://doi.org/10.1007/s10488-014-0621-x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bunger, A. C., & Lengnick-Hall, R. (2018). Do learning collaboratives strengthen communication? A comparison of organizational team communication networks over time. Health Care Management Review, 43(1), 50–60. https://doi.org/10.1097/hmr.0000000000000120.

    Article  PubMed  PubMed Central  Google Scholar 

  • Butts, C. T. (2008). Social network analysis with sna. Journal of Statistical Sofware, 21(6), 1–51.

    Google Scholar 

  • Butts, C. T. (2019). sna: Tools for social network analysis (Version 2.5). Retrieved from https://CRAN.R-project.org/package=sna. Accessed 18 May 2020.

  • Coleman, J., Katz, E., & Menzel, H. (1957). The diffusion of an innovation among physicians. Sociometry, 20(4), 253–270.

    Article  Google Scholar 

  • Deborah, E. G. (2004). Friendship and advice networks in the context of changing professional values. Administrative Science Quarterly, 49(2), 238–262.

    Google Scholar 

  • Feld, S. L. (1981). The Focused Organization of Social Ties. American Journal of Sociology, 86(5), 1015–1035. https://doi.org/10.1086/227352.

    Article  Google Scholar 

  • Ferligoj, A., & Hlebec, V. (1999). Evaluation of social network measurement instruments. Social Networks, 21(2), 111–130.

    Article  Google Scholar 

  • Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., … Whiteford, H. A. (2013). Burden of depressive disorders by country, sex, age, and year: Findings from the global burden of disease study 2010. PLoS Medicine, 10(11), e1001547. https://doi.org/10.1371/journal.pmed.1001547.

  • Flap, H., & Völker, B. (2001). Goal specific social capital and job satisfaction: Effects of different types of networks on instrumental and social aspects of work. Social Networks, 23(4), 297–320. https://doi.org/10.1016/S0378-8733(01)00044-2.

    Article  Google Scholar 

  • Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163–176. https://doi.org/10.1016/S0148-2963(00)00152-1.

    Article  Google Scholar 

  • Fujimoto, K., & Valente, T. W. (2013). Alcohol peer influence of participating in organized school activities: A network approach. Health Psychology, 32(10), 1084–1092. https://doi.org/10.1037/a0029466.

    Article  PubMed  Google Scholar 

  • Fujimoto, K., Valente, T. W., & Pentz, M. A. (2009). Network structural influences on the adoption of evidence-based prevention in communities. Journal of Community Psychology, 37(7), 830–845. https://doi.org/10.1002/jcop.20333.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gilbert, P., & Varadhan, R. (2020). numDeriv: Accurate Numerical Derivatives (Version 2020.2-1/r1862). Retrieved from https://R-Forge.R-project.org/projects/optimizer/. Accessed 18 May 2020.

  • Greenberg, P. E., Kessler, R. C., Birnbaum, H. G., Leong, S. A., Lowe, S. W., Berglund, P. A., & Corey-Lisle, P. K. (2003). The economic burden of depression in the United States: How did it change between 1990 and 2000? Journal of Clinical Psychiatry, 64(12), 1465–1475.

    Article  Google Scholar 

  • Grosser, T. J., Lopez-Kidwell, V., & Labianca, G. (2010). A social network analysis of positive and negative gossip in organizational life. Group & Organization Management, 35(2), 177–212. https://doi.org/10.1177/1059601109360391.

    Article  Google Scholar 

  • Harding, K. J., Rush, A. J., Arbuckle, M., Trivedi, M. H., & Pincus, H. A. (2011). Measurement-based care in psychiatric practice: A policy framework for implementation. Journal of Clinical Psychiatry, 72(8), 1136–1143. https://doi.org/10.4088/JCP.10r06282whi.

    Article  Google Scholar 

  • Hertzum, M. (2014). Expertise seeking: A review. Information Processing & Management, 50(5), 775–795.

    Article  Google Scholar 

  • Jensen-Doss, A., Haimes, E. M. B., Smith, A. M., Lyon, A. R., Lewis, C. C., Stanick, C. F., & Hawley, K. M. (2018). Monitoring treatment progress and providing feedback is viewed favorably but rarely used in practice. Administration and Policy in Mental Health, 45(1), 48–61. https://doi.org/10.1007/s10488-016-0763-0.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lewis, C. C., Boyd, M., Puspitasari, A., Navarro, E., Howard, J., Kassab, H., … Kroenke, K. (2018). Implementing measurement-based care in behavioral health: a review. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2018.3329.

  • Lewis, C. C., Scott, K., Marti, C. N., Marriott, B. R., Kroenke, K., Putz, J. W., … Rutkowski, D. (2015). Implementing measurement-based care (iMBC) for depression in community mental health: A dynamic cluster randomized trial study protocol. Implementation Science, 10(1), 127.

  • Lewis, C. C., & Simons, A. D. (2011). A pilot study disseminating cognitive behavioral therapy for depression: Therapist factors and perceptions of barriers to implementation. Administration and Policy in Mental Health and Mental Health Services Research, 38(4), 324–334. https://doi.org/10.1007/s10488-011-0348-x.

    Article  PubMed  Google Scholar 

  • McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. https://doi.org/10.1146/annurev.soc.27.1.415.

    Article  Google Scholar 

  • Murray, C. J., Atkinson, C., Bhalla, K., Birbeck, G., Burstein, R., Chou, D., … Murray. (2013). The state of US health, 1990–2010: Burden of diseases, injuries, and risk factors. JAMA, 310(6), 591–608. https://doi.org/10.1001/jama.2013.13805.

  • Neal, J. W., & Neal, Z. P. (2019). Implementation capital: Merging frameworks of implementation outcomes and social capital to support the use of evidence-based practices. Implementation Science, 14(1), 16. https://doi.org/10.1186/s13012-019-0860-z.

    Article  PubMed  Google Scholar 

  • Nisar, M. A., & Maroulis, S. (2017). Foundations of relating: Theory and evidence on the formation of street-level Bureaucrats’ workplace networks. Public Administration Review, 77(6), 829–839. https://doi.org/10.1111/puar.12719.

    Article  Google Scholar 

  • Proctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., … Hensley, M. (2011). Outcomes for implementation research: Conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 38, 65–76. https://doi.org/10.1007/s10488-010-0319-7.

  • Rogers, E. (2010). Diffusion of innovations (4th ed.). New York, NY: The Free Press.

    Google Scholar 

  • Saunders, J. A., Morrow-Howell, N., Spitznagel, E. L., Doré, P., Proctor, E. K., & Pescarino, R. (2006). Imputing missing data: A comparison of methods for social work researchers. Social Work Research, 30(1), 19–31.

    Article  Google Scholar 

  • Scott, K., & Lewis, C. C. (2015). Using measurement-based care to enhance any treatment. Cognitive Behaviour Practice, 22(1), 49–59. https://doi.org/10.1016/j.cbpra.2014.01.010.

    Article  Google Scholar 

  • Siciliano, M. D., Moolenaar, N. M., Daly, A. J., & Liou, Y.-H. (2017). A cognitive perspective on policy implementation: Reform beliefs, sensemaking, and social networks. Public Administration Review, 77(6), 889–901. https://doi.org/10.1111/puar.12797.

    Article  Google Scholar 

  • Siciliano, M. D., & Thompson, J. R. (2015). If you are committed, then so am I: The role of social networks and social influence on organizational commitment. Administration & Society, 50(7), 916–946. https://doi.org/10.1177/0095399715617987.

    Article  Google Scholar 

  • Substance Abuse and Mental Health Services Administration. (2016). National survey on drug use and health. Retrieved from https://www.samhsa.gov/data/. Accessed 12 Nov 2020.

  • Valente, T. W. (2005). Network models and methods for studying the diffusion of innovations. In P. J. Carrington, J. Scott & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 98–116). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Valente, T. W. (2010). Social networks and health: Models, methods, and applications. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Valente, T. W. (2012). Network interventions. Science, 337(6090), 49. https://doi.org/10.1126/science.1217330.

    Article  CAS  PubMed  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Weiner, B. J., Lewis, C. C., Stanick, C., Powell, B. J., Dorsey, C. N., Clary, A. S., … Halko, H. (2017). Psychometric assessment of three newly developed implementation outcome measures. Implement Science, 12(1), 108. https://doi.org/10.1186/s13012-017-0635-3.

  • West, E., Barron, D. N., Dowsett, J., & Newton, J. N. (1999). Hierarchies and cliques in the social networks of health care professionals: Implications for the design of dissemination strategies. Social Science & Medicine, 48(5), 633–646.

    Article  CAS  Google Scholar 

  • Yousefi-Nooraie, R., Dobbins, M., & Marin, A. (2014). Social and organizational factors affecting implementation of evidence-informed practice in a public health department in Ontario: A network modelling approach. Implementation Science, 9(1), 29.

    Article  Google Scholar 

  • Zagenczyk, T. J., Gibney, R., Murrell, A. J., & Boss, S. R. (2008). Friends don’t make friends good citizens, but advisors do. Group & Organization Management, 33(6), 760–780.

    Article  Google Scholar 

  • Zheng, K., Padman, R., Krackhardt, D., Johnson, M. P., & Diamond, H. S. (2010). Social networks and physician adoption of electronic health records: Insights from an empirical study. Journal of the American Medical Informatics Association, 17(3), 328–336.

    Article  Google Scholar 

Download references

Funding

This study was funded by the National Institute of Mental Health (5R01MH103310-04).

Author information

Author notes

  1. Alicia C. Bunger and Elena I. Navarro are joint First Authors.

Authors and Affiliations

  1. Ohio State University, College of Social Work, 1947 College Road, Columbus, OH, 43210, USA

    Alicia C. Bunger

  2. Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA, 98101, USA

    Elena I. Navarro & Cara C. Lewis

Authors
  1. Alicia C. Bunger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elena I. Navarro
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cara C. Lewis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cara C. Lewis.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bunger, A.C., Navarro, E.I. & Lewis, C.C. How Do Peers Shape Mental Health Clinicians’ Attitudes Toward New Treatments?. Adm Policy Ment Health 48, 440–449 (2021). https://doi.org/10.1007/s10488-020-01096-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10488-020-01096-1

Keywords

Search

Navigation