Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-25T01:42:17.245Z Has data issue: false hasContentIssue false
  • English
  • Français

Interactions between patients' experiences in mental health treatment and lay social network attitudes toward doctors in recovery from mental illness

Published online by Cambridge University Press:  10 January 2017

BREA L. PERRY ,
ERIN PULLEN  and
BERNICE A. PESCOSOLIDO
BREA L. PERRY
Affiliation:
Indiana University Department of Sociology, Indiana University Bloomington, Bloomington, Indiana, USA Indiana University Network Science Institute, Indiana University Bloomington, Bloomington, Indiana, USA (e-mail: blperry@indiana.edu)
ERIN PULLEN
Affiliation:
Indiana University Network Science Institute, Indiana University Bloomington, Bloomington, Indiana, USA (e-mail: elpullen@indiana.edu)
BERNICE A. PESCOSOLIDO
Affiliation:
Indiana University Department of Sociology, Indiana University Bloomington, Bloomington, Indiana, USA Indiana University Network Science Institute, Indiana University Bloomington, Bloomington, Indiana, USA (e-mail: pescosol@indiana.edu)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Research in the area of social networks and health has demonstrated that lay social network members play a critical role in the early stages of the illness career, influencing key decisions and pathways to formal care. Here, we revisit and extend this body of work, examining how the lay social network context can moderate the influence of treatment experiences on recovery outcomes as the illness career unfolds. To achieve this goal, we address two research questions, drawing on a longitudinal sample of people making their initial contact with the mental health treatment system: First, we explore how treatment experiences, lay social network characteristics, and recovery outcomes change over 2 years, beginning with the point of entry into treatment. Second, we examine whether the relationship between perceived treatment experiences and recovery outcomes is contingent on characteristics of the lay network context in which clients are socially embedded, focusing on the network's cultural orientation toward medical professionals. We find that positive treatment interactions facilitate improved self-esteem, mastery, role functioning, recovery optimism, and global functioning when the lay network culture is pro-medical, but largely have null effects on the recovery process when the lay network is more hostile to medical professionals.

Keywords

sociologymental healthegocentric networksrecoverynetwork culturehealthnetwork dynamicslongitudinal methods
Type
Research Article
Information
Network Science , Volume 5 , Special Issue 3: Networks and Health , September 2017 , pp. 355 - 380
Copyright
Copyright © Cambridge University Press 2017 

References

Abbott, K. M., Bettger, J. P., Hanlon, A., & Hirshman, K. B. (2012). Factors associated with health discussion network size and composition among elderly recipients of long-term services and supports. Health Communication, 27 (8), 784–793.CrossRefGoogle ScholarPubMed
Adair, C. E., McDougall, G. M., Mitton, C. R., Joyce, A. S., Wild, C., Gordon, A., . . . Beckie, A. (2005). Continuity of care and health outcomes among persons with severe mental illness. Psychiatric Services, 56 (9), 1061–1069.CrossRefGoogle ScholarPubMed
Adams, J. R., Drake, R. E., & Wolford, G. L. (2007). Shared decision-making preferences of people with severe mental illness. Psychiatric Services, 58 (9), 1219–1221.Google Scholar
Ajrouch, K. J., Antonucci, T. C., & Janevic, M. R. (2001). Social networks among blacks and whites: The interaction between race and age. Journal of Gerontology: Social Sciences, 56 (2), 112–118.CrossRefGoogle ScholarPubMed
Allen, M. L., Lê Cook, B., Carson, N., Interian, A., La Roche, M., & Alegría, M. (2015). Patient-provider therapeutic alliance contributes to patient activation in community mental health clinics. Administration and Policy in Mental Health and Mental Health Services Research, Epub 2015 May 12. doi: 10.1007/s10488-015-0655-8.Google Scholar
Allison, P. D. (2005). Fixed effects regression methods for longitudinal data using SAS. Cary, NC: SAS Institute.Google Scholar
Barrowclough, C., Meier, P., Beardmore, R., & Emsley, R. (2010). Predicting therapeutic alliance in clients with psychosis and substance misuse. Journal of Nervous & Mental Disease, 198 (5), 373–377.Google Scholar
Boulware, L. E., Cooper, L. A., Ratner, L. E., LaVeist, T. A., & Powe, N. R. (2003). Race and trust in the health care system. Public Health Reports, 118 (4), 358.CrossRefGoogle ScholarPubMed
Bourdieu, P. (1977). Outline of a theory of practice. Cambridge: Cambridge University Press.Google Scholar
Bourdieu, P. (1986). The forms of capital. In Richardson, J. G. (Ed.), Handbook of theory and research for the sociology of education (pp. 81–93). New York: Greenwood.Google Scholar
Bourdieu, P. (1990). The logic of practice. Stanford, California: Stanford University Press CrossRefGoogle Scholar
Bracke, P., Christiaens, W., & Verhaeghe, M. (2008). Self-esteem, self-efficacy, and the balance of peer support among persons with chronic mental health problems. Journal of Applied Social Psychology, 38 (2), 436–459.Google Scholar
Carpentier, N., & Bernard, P. (2011). The complexities of help-seeking: Exploring challenges through a social network perspective. In Pescosolido, B. A., Martin, J. K., McLeod, J. D., & Robgers, A. (Eds.), The handbook of the sociology of health, illness, and healing (pp. 465–479). New York: Springer.Google Scholar
Carpentier, N., Lesage, A., & White, D. (1999). Family influence on the first stages of the trajectory of patients diagnosed with severe psychiatric disorders. Family Relations, 48 (4), 397–403.Google Scholar
Centola, D. (2010). The spread of behavior in an online social network experiment. Science, 329 (5996), 1194–1197.CrossRefGoogle Scholar
Clark, T. S., & Linzer, D. A. (2015). Should I use fixed or random effects? Political Science Research and Methods, 3 (02), 399–408.Google Scholar
Cruz, M., & Pincus, H. A. (2002). Research on the influence that communication in psychiatric encounters has on treatment. Psychiatric Services, 53 (10), 1253–1265.Google Scholar
Cummings, S. M., & Kropf, N. P. (2009). Formal and informal support for older adults with severe mental illness. Aging & Mental Health, 13 (4), 619–627.Google Scholar
Curtis, L. C., Wells, S. M., Penney, D. J., Ghose, S. S., Mistler, L. A., Mahone, I. H., . . . Lesko, S. (2010). Pushing the envelope: Shared decision making in mental health. Psychiatric Rehabilitation Journal, 34 (1), 14–22.Google Scholar
Cusack, J., Deane, F. P., Wilson, C. J., & Ciarrochi, J. (2004). Who influences men to go to therapy? Reports from men attending psychological services. International Journal for the Advancement of Counselling, 26 (3), 271–283.Google Scholar
Davidson, L., O'Connell, M. J., Tondora, J., Lawless, M., & Evans, A. C. (2005). Recovery in serious mental illness: A new wine or just a new bottle? Professional Psychology: Research and Practice, 36 (5), 480.Google Scholar
Dixon, L., McFarlane, W. R., Lefley, H., Lucksted, A., Cohen, M., Falloon, I., . . . Sondheimer, D. (2014). Evidence-based practices for services to families of people with psychiatric disabilities. Psychiatric Services, 52 (7), 903–910.Google Scholar
Dracup, K. (2013). Cardiac rehabilitation: The role of social support in recovery and compliance. In Schumaker, S. A. & Czajkowski, S. M. (Eds.), Social support and cardiovascular disease (pp. 333–354). New York, NY: Springer Science & Business Media.Google Scholar
Duncan, G. J., Wilkerson, B., & England, P. (2006). Cleaning up their act: The effects of marriage and cohabitation on licit and illicit drug use. Demography, 43 (4), 691–710.CrossRefGoogle ScholarPubMed
Fisher, W. H., Geller, J. L. & McMannus, D. L. (2016). Same problem, different century: Issues in recreating the functions of public psychiatric hospitals in community-based settings. In Perry, B. L. (Ed.). 50 years after deinstitutionalization: Mental illness in contemporary communities (pp. 3–25). Bingley: Emerald Group Publishing Limited.Google Scholar
Franks, M. M., Stephens, M. A., Rook, K. S., Franklin, B. A., Keteyian, S. J., & Artinian, N. T. (2006). Spouses' provision of health-related support and control to patients participating in cardiac rehabilitation. Journal of Family Psychology, 20 (2), 311–318.Google Scholar
Gant, J. R., Calsyn, R. J. & Winter, J. (1999). Predicting agreement between providers and recipients of social support. Journal of Social Behavior and Personality, 14 (4), 523.Google Scholar
Hansen, M. C., & Aranda, M. P. (2012). Sociocultural influences on mental health service use by Latino older adults for emotional distress: Exploring the mediating and moderating role of informal social support. Social Science & Medicine, 75 (12), 2134–2142.Google Scholar
Heider, F. (1958). The psychology of interpersonal relations. New York: John Wiley.Google Scholar
Hendryx, M., Green, C. A., & Perrin, N. A. (2009). Social support, activities, and recovery from serious mental illness: STARS study findings. Journal of Behavioral Health Services Research, 36 (3), 320–329.Google Scholar
Horvath, A. O., Del Re, A. C., Flückiger, C., & Symonds, D. (2011). Alliance in individual psychotherapy. Psychotherapy, 48 (1), 9–16.Google Scholar
Hummon, N. P., & Doreian, P. (2003). Some dynamics of social balance processes: Bringing heider back into balance theory. Social Networks, 25 (1), 17–49.Google Scholar
Hurlbert, J. S., Haines, V. S., & Beggs, J. J. (2000). Core networks and tie activation: What kinds of routine networks allocate resources in nonroutine situations? American Sociological Review, 65 (4), 598–618.Google Scholar
Jackson, R. L. (2001). The clubhouse model: Empowering applications of theory to generalist practice. Boston: Brooks/Cole Publishing Company.Google Scholar
Johansson, H., & Eklund, M. (2006). Helping alliance and early dropout from psychiatric out-patient care: The influence of patient factors. Social Psychiatry and Psychiatric Epidemiology, 41 (2), 140–147.CrossRefGoogle ScholarPubMed
Kadushin, C. (1958). Individual decisions to undertake psychotherapy. Administrative Science Quarterly, 3 (3), 379–411.Google Scholar
Kadushin, C. (1962). Social distance between client and professional. American Journal of Sociology, 67 (5), 517–531.Google Scholar
Kadushin, C. (1966). The friends and supporters of psychotherapy: On social circles in urban life. American Sociological Review, 31 (6), 786–802.Google Scholar
Kane, J. M., Robinson, D. G., Schooler, N. R., Mueser, K. T., Penn, D. L., Rosenheck, R. A., . . . Marcy, P. (2016). Comprehensive versus usual community care for first-episode psychosis: 2-year outcomes from the NIMH RAISE early treatment program. American Journal of Psychiatry, 173 (4), 362–372.Google Scholar
Kenny, C. B. (1994). The microenvironment of attitude change. The Journal of Politics, 56 (3), 715–728.CrossRefGoogle Scholar
Kreyenbuhl, J., Nossel, I. R., & Dixon, L. B. (2009). Disengagement from mental health treatment among individuals with schizophrenia and strategies for facilitating connections to care: A review of the literature. Schizophrenia Bulletin, 35 (4), 696–703.CrossRefGoogle Scholar
Laugharne, R., & Priebe, S. (2006). Trust, choice, and power in mental health: A literature review. Psychiatry and Psychiatric Epidemiology, 41 (11), 846–852.Google Scholar
Lazer, D., Rubineau, B., Chetkovich, C., Katz, N., & Neblo, M. (2010). The coevolution of networks and political attitudes. Political Communication, 27 (3), 248–274.Google Scholar
Lewis, M. A., & Butterfield, R. M. (2005). Antecedents and reactions to health-related social control. Personality and Social Psychology Bulletin, 31 (3), 416–427.Google Scholar
Lewis, M. A., & Butterfield, R. M. (2007). Social control in marital relationships: Effect of one's partner on health behaviors. Journal of Applied Social Psychology, 37 (2), 298–319.Google Scholar
Lindsey, M. A., Barksdale, C. L., Lambert, S. F., & Ialongo, N. S. (2010). Social network influences on service use among urban, African American youth with mental health problems. Journal of Adolescent Health, 47 (4), 367–373.Google Scholar
Lively, K. J. & Smith, C. L. (2011). Identity and illness. In Pescosolido, B., Martin, J. K., McLeod, J. D., & Rogers, A. (Eds.), Handbook of the sociology of health, illness, and healing (pp. 505–525). New York: Springer.CrossRefGoogle Scholar
Lo, M.-C. M., & Stacey, C. L. (2008). Beyond cultural competency: Bourdieu, patients, and clinical encounters. Sociology of Health and Illness, 30 (5), 741–755.Google Scholar
Lucksted, A., McFarlane, W., Downing, D., & Dixon, L. (2012). Recent developments in family psychoeducation as an evidence-based practice. Journal of Marital and Family Therapy, 38 (1), 101–121.CrossRefGoogle ScholarPubMed
Markowitz, F. E. (2001). Modeling processes in recovery from mental illness: Relationships between symptoms, life satisfaction, and self-concept. Journal of Health and Social Behavior, 42 (1), 64–79.CrossRefGoogle ScholarPubMed
Marsden, P. (1987). Core discussion networks of Americans. American Sociological Review, 52 (1), 122–131.Google Scholar
McCabe, R., & Priebe, S. (2004). The therapeutic relationship in the treatment of severe mental illness: A review of methods and findings. International Journal of Social Psychiatry, 50 (2), 115–128.Google Scholar
Mezzina, R., Davidson, L., Borg, M., Marin, I., Topor, A., & Sells, D. (2006). The social nature of recovery: Discussion and implications for practice. American Journal of Psychiatric Rehabilitation, 9 (1), 63–80.Google Scholar
National Survey on Drug Use and Health (NSDUH). (2009). Results from the 2008 national survey on drug use and health: National findings. Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services. Retrieved from http://goo.gl/ZIUJqa.Google Scholar
National Survey on Drug Use and Health (NSDUH). (2014). Behavioral health trends in the United States: Results from the 2014 national survey on drug use and health. Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services. Retrieved from http://www.samhsa.gov/data/sites/default/files/NSDUH-FRR1-2014/NSDUH-FRR1-2014.pdf.Google Scholar
Padgett, D. K., Henwood, B., Abrams, C., & Drake, R. E. (2008). Social relationships among persons who have experienced serious mental illness, substance abuse, and homelessness: Implications for recovery. American Journal of Orthopsychiatry, 78 (3), 333–339.CrossRefGoogle ScholarPubMed
Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of Health and Social Behavior, 19 (1), 2–21.CrossRefGoogle ScholarPubMed
Peek, M. K. & O'Neill, G. S. (2001). Networks in later life: An examination of race differences in social support networks. International Journal of Aging and Human Development, 52 (3), 197–219.Google Scholar
Pernice-Duca, F. (2010). Family network support and mental health recovery. Journal of Marital & Family Therapy, 36 (1), 13–27.Google Scholar
Perry, B. L., & Pescosolido, B. A. (2010). Functional specificity in discussion networks: The influence of general and problem-specific networks on health outcomes. Social Networks, 32 (4), 345–357.Google Scholar
Perry, B. L., & Pescosolido, B. A. (2012). Social network dynamics and biographical disruption: The case of "first-timers" with mental illness. American Journal of Sociology, 118 (1), 134–175.Google Scholar
Perry, B. L., & Pescosolido, B. A. (2015). Social network activation: The role of health discussion partners in recovery from mental illness. Social Science & Medicine, 125, 116–128.Google Scholar
Perry, B. L., Pullen, E., & Pescosolido, B. A. (2016). At the intersection of lay and professional social networks: How community ties shape perceptions of mental health treatment providers. Global Mental Health Journal, 3, 1–17.Google Scholar
Pescosolido, B. A. (1992). Beyond rational choice: The social dynamics of how people seek help. American Journal of Sociology, 97, 1096–1138.Google Scholar
Pescosolido, B. A. (1996). Bringing the 'community' into utilization models: How social networks link individuals to changing systems of care. In Kronenfeld, J. J. (Ed.), Research in the sociology of health care, Vol. 13 (pp. 171–198). Greenwich: JAI Press.Google Scholar
Pescosolido, B. A. (2006). Of pride and prejudice: the role of sociology and social networks in integrating the health sciences. Journal of Health and Social Behavior, 47 (3), 189–208.CrossRefGoogle ScholarPubMed
Pescosolido, B. A., Gardner, C. B., & Lubell, K. M. (1998a). How people get into mental health services: Stories of choice, coercion and “muddling through'' from “first-timers''. Social Science & Medicine, 46 (2), 275–286.Google Scholar
Pescosolido, B. A., Wright, E. R., Alegria, M., & Vera, M. (1998b). Social networks and patterns of use among the poor with mental health problems in Puerto Rico. Medical Care, 36 (7), 1057–1072.Google Scholar
Pullen, E., Perry, B., & Oser, C. (2014). African American women's preventative care usage: The role of social support and racial experiences and attitudes. Sociology of Health & Illness, 36 (7), 1037–1053.Google Scholar
Roe, D., Goldblatt, H., Baloush-Klienman, V., Swarbrick, M., & Davidson, L. (2009). Why and how people decide to stop taking prescribed psychiatric medication: Exploring the subjective process of choice. Psychiatric Rehabilitation Journal, 33 (1), 38–46.Google Scholar
Rogers, C. R. (1951). Client-centered therapy. Cambridge: Riverside Press.Google Scholar
Rosenberg, M. (1965). Society and the adolescent self-image. Princeton: Princeton University Press.Google Scholar
Scheid, T. L. (2016). An institutional analysis of public sector mental health in the post-deinstitutionalization era. In Perry, B. L. (Ed.). 50 years after deinstitutionalization: Mental illness in contemporary communities (pp. 63–87). Bingley: Emerald Group Publishing Limited.CrossRefGoogle Scholar
Schutt, R. K. (2016). Social environment and mental illness: The progress and paradox of deinstitutionalization. In Perry, B. L. (Ed.). 50 years after Deinstitutionalization: Mental illness in contemporary communities (pp. 91–118). Bingley: Emerald Group Publishing Limited.Google Scholar
Shim, J. K. (2010). Cultural health capital a theoretical approach to understanding health care interactions and the dynamics of unequal treatment. Journal of Health and Social Behavior, 51 (1), 1–15.Google Scholar
Spitzer, R. L., Williams, J. B. W., Gibbon, M., & First, M. B. (1990). Structured clinical interview for DSM-III-R, patient edition/non-patient edition (SCID-P/SCID-NP). Washington DC: American Psychiatric Press, Inc.Google Scholar
Spoont, M. R., Nelson, D. B., Murdoch, M., Rector, T., Sayer, N. A., Nugent, S., & Westermeyer, J. (2014). Impact of treatment beliefs and social network encouragement on initiation of care by VA service users with PTSD. Psychiatric Services, 65 (5), 654–662.Google Scholar
Staples, L., & Stein, R. (2008). The clubhouse model: Mental health consumer–provider partnerships for recovery. Advances in Medical Sociology: Patients, Consumers and Civil Society, 10, 177–196.Google Scholar
Startup, M., Jackson, M. C., & Bendix, S. (2002). The concurrent validity of the global assessment of functioning. British Journal of Clinical Psychology, 41 (4), 417–422.Google Scholar
Thoits, P. A. (2011). Perceived social support and the voluntary, mixed, or pressured use of mental health services. Society and Mental Health, 1 (1), 4–19.Google Scholar
Trotter, R. T., Baldwin, J. A., & Bowen, A. M. (1995). Network structure and proxy network measures of HIV, drug and incarceration risks for active drug users. Connections, 18 (1), 88–103.Google Scholar
Uchino, B. N. (2004). Social support and physical health: Understanding the health consequences of relationship. New Have, CT: Yale University Press.Google Scholar
Umberson, D. (1992). Gender, marital status and the social control of health behavior. Social Science and Medicine, 34 (8), 907–917.Google Scholar
Villatoro, A. P., & Aneshensel, C. S. (2014). Family influences on the use of mental health services among African Americans. Journal of Health and Social Behavior, 55 (2), 161–180.Google Scholar
Wild, T. C., Cunningham, J. A., & Ryan, R. M. (2006). Social pressure, coercion, and client engagement at treatment entry: A self-determination theory perspective. Addictive Behaviors, 31 (10), 1858–1872.Google Scholar
Wright, E. R., & Perry, B. L. (2010). Medical sociology and health services research past accomplishments and future policy challenges. Journal of Health and Social Behavior, 51 (Suppl. 1), S107–S119.Google Scholar