Relevant bibliographies by topics / Biopsychosocial model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biopsychosocial model'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Biopsychosocial model"

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Derbyshire, Stuart W. G. "The Biopsychosocial Model." Journal of Cancer Pain & Symptom Palliation 1, no. 1 (January 2005): 79–84. http://dx.doi.org/10.3109/j427v01n01_11.

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Friedman, Richard C., and Jennifer I. Downey. "Editorial: The Biopsychosocial Model." Psychodynamic Psychiatry 40, no. 3 (September 2012): 371–76. http://dx.doi.org/10.1521/pdps.2012.40.3.371.

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McDaniel, Susan H., and Thomas L. Campbell. "The evolving biopsychosocial model." Families, Systems, & Health 14, no. 4 (1996): 409–11. http://dx.doi.org/10.1037/h0089970.

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Frances, Allen. "Resuscitating the biopsychosocial model." Lancet Psychiatry 1, no. 7 (December 2014): 496–97. http://dx.doi.org/10.1016/s2215-0366(14)00058-3.

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McLaren, N. "A Critical Review of the Biopsychosocial Model." Australian & New Zealand Journal of Psychiatry 32, no. 1 (February 1998): 86–92. http://dx.doi.org/10.3109/00048679809062712.

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Objective: The aim of this review is to provide an analysis of the epistemic status of the biopsychosocial model. Method: A critical comparison of the biopsychosocial model with the general concept of models. Results: In its present form, the biopsychosocial model is so seriously flawed that its continued use in psychiatry is not justified. Conclusion: Further development of theory-based models in psychiatry is urgently needed.
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McLaren, Niall. "The biopsychosocial model: Reality check." Australian & New Zealand Journal of Psychiatry 55, no. 7 (January 9, 2021): 644–45. http://dx.doi.org/10.1177/0004867420981409.

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Paris, Joel. "Personality Disorders: A Biopsychosocial Model." Journal of Personality Disorders 7, no. 3 (September 1993): 255–64. http://dx.doi.org/10.1521/pedi.1993.7.3.255.

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Kotsiubinskii, A. P. "A Biopsychosocial Model of Schizophrenia." International Journal of Mental Health 31, no. 2 (June 2002): 51–60. http://dx.doi.org/10.1080/00207411.2002.11449556.

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Wallace, John. "A Biopsychosocial Model of Alcoholism." Social Casework 70, no. 6 (June 1989): 325–32. http://dx.doi.org/10.1177/104438948907000601.

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Garcia-Toro, Mauro, and Iratxe Aguirre. "Biopsychosocial model in Depression revisited." Medical Hypotheses 68, no. 3 (January 2007): 683–91. http://dx.doi.org/10.1016/j.mehy.2006.02.049.

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Dissertations / Theses on the topic "Biopsychosocial model"

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Tepper, Sherri. "A biopsychosocial model of Alzheimer's disease /." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59861.

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Research on the etiological characteristics of Alzheimer's disease has yielded inconsistent results. It is suggested that this may be due to the unidirectional focus on biomedical attributes, and the failure to consider psychosocial factors in combination with the biomedical characteristics. A biopsychosocial model of Alzheimer's disease, which integrates the biomedical dimension with psychosocial stressors and social support is proposed and tested in a sample of 172 geriatric patients using polychotomous logistic regression. Results find support for the implication of stress in the disease process, but fail to find a relationship between social support and Alzheimer's disease. It is concluded that the ultimate value of a biopsychosocial model of Alzheimer's disease rests in its identification of psychosocial factors, that could result in the prevention of the development of the disease.
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Dienes, Kimberly Ann. "The biopsychosocial model of risk for depression." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1627039411&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Mitchell, Ellen Sullivan. "Women's experience of food cravings : a biopsychosocial model /." Thesis, Connect to this title online; UW restricted, 1986. http://hdl.handle.net/1773/7219.

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Backström, Linus. "Establishing a biopsychosocial model for conspiracy theory ideation." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15841.

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This paper aims to provide the grounds for a biopsychosocial understanding of the underpinnings of conspiracy theorist ideation by studying research articles from different scientific disciplines. Cross-disciplinary concurring results are presented and discussed, as well as some examples of how conspiracy theories have been used during the 20th century. Also discussed is how this is used in political discourse in the populist climate of today, with the rise of radical right-wing movements, the justification of “alternative facts” from higher governmental ranks, and religious fundamentalism, making it a societal issue of possible big magnitude. Neurological similarities was found between religiousness and proneness to conspiracy theory ideation, and the articles concerning neural correlates therefore stem from research on religious individuals due to the lack of neuro-biopsychological research on actual conspiracy theorists. Since conspiracy theory ideation has shown the ability to cause negative consequences it is also advised that governmental agencies and society as a whole revise its stance on populism and the spread of flawed information, in order to maintain an open society. Also presented are a few ideas on how to begin countering the rise of populism.
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Zale, Kathryn E. "Ultrasonography Assessment of Ankle/Foot Pain: A Biopsychosocial Model." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405621649.

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McAuley, James Henry. "Cultural influences on low back pain : extending the biopsychosocial model." Thesis, Brunel University, 2001. http://bura.brunel.ac.uk/handle/2438/5432.

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The present investigation examined the influence of cultural factors on Low Back Pain (LBP). Multiple regression techniques were used to determine the relative importance of clinical, social and psychological factors to LBP disability and cultural influences on these factors were then explored. The findings indicated that compared to clinical and social factors, LBP disability was most strongly associated with psychological factors (adjusted R2 change = 0.38, p<0.00), the most important of which was psychological distress. Clinical (adjusted R2 change = 0.11, p<0.00) or social (adjusted R2 change = 0.02, p=0.09) factors were only moderately or weakly associated with LBP disability. A series of hierarchical regression models examined the mediating role of cognitive Coping Strategies (Catastrophising & Praying and Hoping (Rosenstiel and Keefe (1983)) and Pain Control Beliefs (Control of Pain & Responsibility for management of Pain (Main and Waddell (1991)) on the relationship between LBP disability and distress. In support of the Cognitive Behavioural Mediational Model of chronic pain (Rudy and Turk, 1987), evidence was found to suggest that the relationship between LBP disability and distress was largely dependent upon Coping Strategies and Pain Control Beliefs. The findings also suggested that Pain Control Beliefs were largely dependent upon Coping strategies, although these relationships varied between specific Pain Control Beliefs and Coping Strategies. The study found evidence to suggest that certain self report questionnaires which are commonly used to assess cognitive factors associated with LBP may not have robust cross cultural reliabilities as measured by Cronbach's Alpha (Cronbach 1951) (Praying and Hoping (P&H) subscale of the Coping Strategies Questionnaire (CSQ) Rosensteil and Keefe 1983; Pain Responsibility (PR) subscale of the Pain Locus of Control (PLC) Main and Waddell 1991). The findings indicated that when used in their present form, these self reported questionnaires may provide inconsistent results with South Asian, African-born or Muslim LBP patients. The study provided evidence for the role of Cultural factors (self defined Ethnicity, Country of Birth and reported Religious Affiliation) on the experience of LBP. Although the relationship between cultural factors and LBP was generally weak (R2 change < 0.15), it appeared that South Asian, African-born and Muslim patients experienced LBP significantly worse than other LBP patients. The cultural group differences were strongest for the "passive" coping strategy "Praying and Hoping" (Rosensteil and Keefe 1983) (R2 change = 0.15, p < 0.001). The most apparent cultural differences were for Muslim patients who compared with all other Religious groups consistently reported the worst experience of LBP. Muslim LBP patients were clinically more disabled than either Christian (mean Roland and Morris Disability Questionnaire (RMDQ) difference (Roland and Morris, 1983) = 4.13) or other (mean RMDQ difference = 4.29) LBP patients. The statistical control of clinical variables in the regression models led to the conclusion that these groups of patients had a more "chronic" experience of LBP. Religious affiliation may help to identify LBP patients who present to secondary care with more chronic symptoms of LBP. Standardisation of self report questionnaire in these cultural groups may improve the precision of these findings. The present investigation was primarily descriptive in that reasons for cultural differences were not empirically examined. However the study findings suggest potentially fruitful areas for further investigation particularly that work on the meaning of "Praying" as a coping strategy and on its relationship with LBP disability for non-Christian groups would appear warranted.
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Mitchell, Sara H. "A Biopsychosocial Model of Dietary Restraint in Early Adolescent Boys." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700049/.

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The current study replicated and extended previous research by examining empirically the direct and indirect influence of social pressure (to lose weight and diet), social body comparisons, internalization of the thin ideal, body dissatisfaction, self-esteem, and cardiorespiratory fitness on self-reported dietary restraint in a diverse sample of middle school boys (n = 663); Mage was 12.49 years (SD = .99). With IRB approval, parental consent, and child assent, during annual FITNESSGRAM testing, participants completed questionnaires that measured the study’s constructs. Cardiorespiratory fitness (CRF) was determined by the boys’ performance on the PACER running test. The proposed model was examined using structural equation modeling (SEM). Because measures demonstrated univariate and multivariate normality, the maximum likelihood procedure within EQS to examine the measurement and structural models was used. Fit was determined using a two-index procedure. Participants were randomly split into exploratory (Sample A - 331) and confirmatory (Sample B - 332) samples. For Sample A, the measurement and structural models fit the data well. The structural model was confirmed in Sample B, with the same paths being significant and nonsignficant. For both Sample A and Sample B, 35% of the Dietary Restraint variance was explained. These findings support a multifactorial approach to understanding boys’ self-reported dietary restraint, and illuminate the negative influence of sociocultural weight pressures and salutary effects of CRF on early adolescents’ psychosocial well-being and dietary behaviors.
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Premo, Julie Elizabeth. "A Novel Biopsychosocial Model of Maternal Anxiety and Maladaptive Parenting." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1498135045088679.

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Ater, Steven L. "The interactive systemic approach an expansion of the biopsychosocial model /." Online full text .pdf document, available to Fuller patrons only, 2002. http://www.tren.com.

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Glaister, Karen. "A biopsychosocial model of diabetes self-management: mediators and moderators." Thesis, Glaister, Karen (2007) A biopsychosocial model of diabetes self-management: mediators and moderators. PhD thesis, Murdoch University, 2007. https://researchrepository.murdoch.edu.au/id/eprint/4354/.

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Diabetes mellitus (diabetes), an endocrine disorder, is in epidemic proportions globally, threatening the well being of people affected and challenging health care systems. In the main, diabetes warrants adjustments to lifestyle and therapeutic interventions simply to self-manage the condition. Research in self-management of diabetes has targeted socio-cognitive theory and espoused self-efficacy as the main driver of self-management. More recently, self-regulatory theory has focused on illness representations and argued they are the force underpinning goal directed behaviours. Research to-date has tended to adopt one or other of the prevailing theoretical models to the exclusion of key concepts in other explanatory health behaviour models. Studies are lacking in demonstrating a comprehensive exploration of the interrelationships between self-regulatory skills inherent in self-management, illness representations and self-efficacy with other potential health behaviour determinants. In this thesis, it was postulated that an integrated biopsychosocial model of self-management was warranted to account for the complexities of human understanding and interactions within a naturalistic setting. The purpose of this dissertation was to develop and substantiate a conceptual model of diabetes self-management integrating key concepts from health behaviour theories within a structure of four broad determinants of health behaviour, which were: personal traits, diabetes traits, socio-environmental factors and health contextual factors. Specifically, determinants associated with diabetes self-management behaviours and the predictors for its success for those with type 1 and type 2 diabetes was sought. In order to substantiate the proposed integrated model a cross-sectional design, using quantitative survey methodology, was undertaken. Structural equation modelling allowed interrelationships in the integrated model to be explored simultaneously and advanced model testing thus far in the field. The study involved males (n = 504) and females (n = 519), aged over 18 years (M = 63.90, SD = 13.89) who had a diagnosis of either type 1 or type 2 diabetes and who resided in Western Australia. Model testing substantiated the integrated biopsychosocial model proposed and was relatively parsimonious, making the application of the findings to a clinical setting possible. Key predictors for both types of diabetes were: self-efficacy, diabetes distress, diabetes traits, self-determination support by health care professionals and to some extent age of the person with diabetes. In addition, locus of control by doctors was important for type 2 diabetes and marital status and socio-economic status for type 1 diabetes. The presence of emotional distress had a negative effect on interrelated factors, emphasising the criticality of its assessment and management by health professionals if self-management is to be achieved. Illness representations had low or minimal predictive power, refuting claims that it is responsible for the initiation of goal directed behaviours. The integrated model, a first of its kind in the Australian context, contributes to existing knowledge in diabetes self-management through its attention to contextualising the self-regulatory individual within their personal, social and health environment. In particular it makes explicit the distinguishing integrated predictors for type 1 and type 2 diabetes previously unknown in the adult population. Through the understanding of predictors, the health sector is better placed to target predictors in supporting self-management.
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Books on the topic "Biopsychosocial model"

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Gorski, Terence T. Straight talk about addiction: A biopsychosocial model. Independence, MO: Herald House/Independence Press, 2011.

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Bolton, Derek, and Grant Gillett. The Biopsychosocial Model of Health and Disease. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11899-0.

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Scoles, Pascal. Addiction & recovery: A biopsychosocial-spiritual model of chemical dependency. 3rd ed. Australia: Cengage Learning, 2008.

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Scoles, Pascal. Addiction & recovery: A biopsychosocial-spiritual model of chemical dependency. 3rd ed. Australia: Cengage Learning, 2008.

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Scoles, Pascal. Addiction & recovery: A biopsychosocial-spiritual model of chemical dependency. 3rd ed. Australia: Cengage Learning, 2008.

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The rise and fall of the biopsychosocial model: Eclectic psychiatry examined. Baltimore: Johns Hopkins University Press, 2009.

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Bolton, Derek. The Biopsychosocial Model of Health and Disease: New Philosophical and Scientific Developments. Cham: Springer Nature, 2019.

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Clinical case management for people with mental illness: A biopsychosocial vulnerability-stress model. New York: Haworth Social Work Practice Press, 2006.

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Daley, Dennis C. Dual disorders recovery counseling: A biopsychosocial treatment model for addiction and psychiatric illness. Independence, Mo: Herald House/Independence Press, 1994.

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Models of the mind: A framework for biopsychosocial psychiatry. Philadelphia, PA: Brunner-Routledge, 2001.

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Book chapters on the topic "Biopsychosocial model"

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Miles, Eleanor. "Biopsychosocial Model." In Encyclopedia of Behavioral Medicine, 259–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1095.

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Wideman, Timothy H., Michael J. L. Sullivan, Shuji Inada, David McIntyre, Masayoshi Kumagai, Naoya Yahagi, J. Rick Turner, et al. "Biopsychosocial Model." In Encyclopedia of Behavioral Medicine, 227–28. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1095.

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Frankel, Richard M. "Biopsychosocial Model." In Encyclopedia of Quality of Life and Well-Being Research, 406–8. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_215.

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Masters, Kevin S. "Biopsychosocial Model." In Encyclopedia of Sciences and Religions, 263–64. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_200342.

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Frankel, Richard M. "Biopsychosocial Model." In Encyclopedia of Quality of Life and Well-Being Research, 1–3. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-69909-7_215-2.

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Leigh, Hoyle. "From Biopsychosocial Model To Patientology." In Biopsychosocial Approaches in Primary Care, 137–48. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5957-3_11.

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Hoffer, Tia, Holly Hargreaves-Cormany, Yvonne Muirhead, and J. Reid Meloy. "Meloy’s Biopsychosocial Model of Violence." In Violence in Animal Cruelty Offenders, 17–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91038-3_6.

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Thomson, Nicholas D. "Psychopathy and the biopsychosocial model." In Understanding Psychopathy, 1–16. First edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: New frontiers in forensic psychology: Routledge, 2019. http://dx.doi.org/10.4324/9780203703304-1.

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Thomson, Nicholas D. "The biopsychosocial model of psychopathy." In Understanding Psychopathy, 143–52. First edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: New frontiers in forensic psychology: Routledge, 2019. http://dx.doi.org/10.4324/9780203703304-8.

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Bolton, Derek, and Grant Gillett. "The Biopsychosocial Model 40 Years On." In The Biopsychosocial Model of Health and Disease, 1–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11899-0_1.

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Conference papers on the topic "Biopsychosocial model"

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Dale, Maria, Ashleigh Wood, Nicolò Zarotti, Fiona Eccles, Sarah Gunn, Reza Kiani, Amanda Mobley, Noelle Robertson, Fiona Nielsen, and Jane Simpson. "H33 A novel biopsychosocial formulation model to conceptualise psychological distress among people with Huntington’s disease." In EHDN 2022 Plenary Meeting, Bologna, Italy, Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jnnp-2022-ehdn.197.

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Retnowati, Very, Pawito Pawito, and Bhisma Murti. "Biopsychosocial Determinants of Tertiary Preventive Behaviors among Patients with Hypertension in Sragen, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.60.

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Background: Tertiary hypertension prevention is an effort to prevent hypertensive patients from disabilities and complications, which lead to improve their quality of life. The biopsychosocial aspect influences individual behavior in maintaining blood pressure. This study aimed to analyze the biopsychosocial determinants of tertiary prevention behavior in hypertensive patients. Subjects and Method: A cross sectional study was conducted at 25 integrated health posts (posbindu) in Sragen, Central Java. A sample of 200 hypertensive patients was selected by stratified random sampling. The dependent variable was tertiary hypertension preventive behavior. The independent variables were attitude, observational learning, role model, imitation, vicarious learning, reinforcement, self-efficacy, self-regulation, and outcome expectation. The data were collected by questionnaire and analyzed by a multiple logistic regression. Results: Tertiary hypertension preventive behavior increased with observational learning (b= 1.83; 95% CI= 0.31 to 3.35; p= 0.018), role model (b= 1.95; 95% CI= 0.75 to 3.16; p= 0.001), imitation (b= 2.13; 95% CI= 0.89 to 3.38; p= 0.001), vicarious learning (b= 1.60; 95% CI= 0.23 to 2.96; p= 0.022), reinforcement (b= 2.86; 95% CI= 1.25 to 4.47; p<0.001), self-efficacy (b= 1.99; 95% CI= 0.73 to 3.25; p= 0.002), self-regulation (b= 1.39; 95% CI= 0.18 to 2.61; p= 0.024), outcome expectation (b= 2.37; 95% CI= 0.85 to 3.89; p= 0.002), and positive attitude (b= 1.76; 95% CI= 0.40 to 3.13; p=0.011). Conclusion: Tertiary hypertension preventive behavior increases with observational learning, role model, imitation, vicarious learning, reinforcement, self-efficacy, self-regulation, outcome expectation, and positive attitude. Keywords: hypertension, tertiary prevention, biopsychosocial, social cognitive theory Correspondence: Very Retnowati. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: veryretnowati@gmail.com. Mobile: +6281548592491 . DOI: https://doi.org/10.26911/the7thicph.02.60
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Pales, J., K. Street, R. Howells, A. Lee, J. Burrows, A. Boyd, T. Bloomfield, and V. Palfrey. "G257 A biopsychosocial model of care for children and young people (CYP) with persistent, unexplained, physical symptoms (PUPS)." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference–Online, 25 September 2020–13 November 2020. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2020. http://dx.doi.org/10.1136/archdischild-2020-rcpch.221.

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Pales, J., K. Street, R. Howells, A. Lee, J. Burrows, A. Boyd, T. Bloomfield, and V. Palfrey. "8 A biopsychosocial model of care for children and young people (CYP) with persistent, unexplained, physical symptoms (PUPS)." In RCPCH and SAHM Adolescent Health Conference; Coming of Age, 18–19 September 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/bmjpo-2019-rcpch-sahm.8.

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Trisnawati, Iga, Harsono Salimo, and Bhisma Murti. "Low Birthweight and Its Biopsychosocial and Economic Determinants: A New Evidence Using a Path Analysis Model from Jambi, South Sumatera." In Mid International Conference on Public Health 2018. Masters Programme in Public Health, Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/mid.icph.2018.03.05.

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Spaas, C., S. De Backer, D. Wildemeersch, G. Hans, V. Saldien, J. Gios, J. Michielsen, and B. Breebaart. "ESRA19-0151 Biopsychosocial model for a multidisciplinary perioperative care pathway in patients undergoing posterior spinal fusion surgery for adolescent idiopathic scoliosis." In Abstracts of the European Society of Regional Anesthesia, September 11–14, 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/rapm-2019-esraabs2019.333.

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Khalifah, Intan Noor, Argyo Demartoto, and Harsono Salimo. "HEALTH BELIEF MODEL AND LABELLING THEORY IN THE ANALYSIS OF PREVENTIVE BEHAVIORS TO ADDRESS BIOPSYCHOSOCIAL IMPACTS OF SEXUAL VIOLENCE AMONG STREET CHILDREN IN YOGYAKARTA." In THE 2ND INTERNATIONAL CONFERENCE ON PUBLIC HEALTH. Masters Program in Public Health, Graduate School, Sebelas Maret University Jl. Ir Sutami 36A, Surakarta 57126. Telp/Fax: (0271) 632 450 ext.208 First website:http//: pasca.uns.ac.id/s2ikm Second website: www.theicph.com. Email: theicph2017@gmail.com, 2017. http://dx.doi.org/10.26911/theicph.2017.109.

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Pales, Jessica, and Karen Street. "1604 A biopsychosocial model of care for children and young people (CYP) with persistent, unexplained, physical symptoms (PUPS) J Pales*, K Street, R Howells." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference–Online, 15 June 2021–17 June 2021. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2021. http://dx.doi.org/10.1136/archdischild-2021-rcpch.741.

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Elferinga, Achim, Cornelia Rollia, Urs Müllerb, Özgür Tamcanb, and Anne F. Mannionc. "Maladaptive Back Beliefs and Low Back Pain in Nurses: A Longitudinal Study." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100514.

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This population-based longitudinal questionnaire study examined whether back beliefs predicted increased low back pain (LBP) one year after baseline, comparing the phenomenon in nurses versus other participants. A random sample of 2’860 individuals participated. At one-year follow-up 1’445 questionnaires were returned. At baseline and follow-up, back beliefs were assessed with the Back Beliefs Questionnaire (BBQ) and LBP was assessed using a standardized pain intensity item and pain manikin. Cross-lagged structural equation modeling was used to estimate the prospective risk path from BBQ at baseline to LBP at follow-up. A model comparison test evaluated whether paths differed between 59 nurses and 1’383 other respondents. The cross-lagged path model fitted the empirical data well (CFI = 0.91; RMSEA = 0.04). In nurses, the longitudinal path from BBQ to LBP at follow-up (β=0.30, p=.013) and the cross-sectional association between BBQ and LBP at follow-up (β = 0.42, p = .031) were more positive than in others (longitudinal path: β = 0.05, p = .023; cross-sectional path: β = 0.06, p = .062). The biopsychosocial model of LBP and maladaptive back beliefs should be addressed in educational occupational health interventions for nurses.
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Holmyard, L., and A. Boyd. "P2 Staff experiences of working with children and young people (CYP) experiencing persistent unexplained physical symptoms (PUPS) in the context of a new biopsychosocial model of care." In RCPCH and SAHM Adolescent Health Conference; Coming of Age, 18–19 September 2019. BMJ Publishing Group Ltd, 2019. http://dx.doi.org/10.1136/bmjpo-2019-rcpch-sahm.10.

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Reports on the topic "Biopsychosocial model"

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Skelly, Andrea C., Roger Chou, Joseph R. Dettori, Erika D. Brodt, Andrea Diulio-Nakamura, Kim Mauer, Rongwei Fu, et al. Integrated and Comprehensive Pain Management Programs: Effectiveness and Harms. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer251.

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Abstract:
Objectives. To evaluate the effectiveness and harms of pain management programs that are based on the biopsychosocial model of care, particularly in the Medicare population. Data sources. Electronic databases (Ovid® MEDLINE®, PsycINFO®, CINAHL®, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews) from 1989 to May 24, 2021; reference lists; and a Federal Register notice. Review methods. Given lack of consensus on terminology and program definition for pain management, we defined programs as integrated (based in and integrated with primary care) and comprehensive (referral based and separate from primary care) pain management programs (IPMPs and CPMPs). Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) comparing IPMPs and CPMPs with usual care or waitlist, physical activity, pharmacologic therapy, and psychological therapy in patients with complex acute/subacute pain or chronic nonactive cancer pain. Patients needed to have access to medication support/review, psychological support, and physical function support in programs. Meta-analyses were conducted to improve estimate precision. We classified the magnitude of effects as small, moderate, or large based on predefined criteria. Strength of evidence (SOE) was assessed for the primary outcomes of pain, function, and change in opioid use. Results. We included 57 RCTs; 8 evaluated IPMPs and 49 evaluated CPMPs. Compared with usual care or waitlist, IPMPs were associated with small improvements in pain in the short and intermediate term (SOE: low) and in function in the short term (SOE: moderate), but there were no clear differences at other time points. CPMPs were associated with small improvements in pain immediately postintervention (SOE: moderate) but no differences in the short, intermediate, and long term (SOE: low); for function, improvements were moderate immediately postintervention and in the short term; there were no differences in the intermediate or long term (SOE: low at all time points). CPMPs were associated with small to moderate improvements in function and pain versus pharmacologic treatment alone at multiple time frames (SOE: moderate for function intermediate term; low for pain and function at all other times), and with small improvements in function but no improvements in pain in the short term when compared with physical activity alone (SOE: moderate). There were no differences between CPMPs and psychological therapy alone at any time (SOE: low). Serious harms were not reported, although evidence on harms was insufficient. The mean age was 57 years across IPMP RCTs and 45 years across CPMP RCTs. None of the trials specifically enrolled Medicare beneficiaries. Evidence on factors related to program structure, delivery, coordination, and components that may impact outcomes is sparse and there was substantial variability across studies on these factors. Conclusions. IPMPs and CPMPs may provide small to moderate improvements in function and small improvements in pain in patients with chronic pain compared with usual care. Formal pain management programs have not been widely implemented in the United States for general populations or the Medicare population. To the extent that programs are tailored to patients’ needs, our findings are potentially applicable to the Medicare population. Programs that address a range of biopsychosocial aspects of pain, tailor components to patient need, and coordinate care may be of particular importance in this population.
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