Literature Collection
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References
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Articles
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Grey Literature
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Opioids & SU
The Literature Collection contains over 10,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
BACKGROUND: Multimorbidity is associated with physical-mental health comorbidity (PMHC). However, the scope of overlap between physical and mental conditions, associated factors, as well as types of mental illness involved are not well described in Eastern Europe. This study aims to assess the PMHC burden in the Estonian population. METHODS: In this population-based cross-sectional study we obtained health claims data for 55 chronic conditions from the Estonian Health Insurance Fund (EHIF) database, which captures data for all publicly insured individuals (n = 1 240 927 or 94.1% of the total population as of 31 December 2017). We assessed the period-prevalence (3 years) of chronic physical and mental health disorders, as well as associations between them, by age and sex. RESULTS: Half of the individuals (49.1% (95% CI 49.0-49.3)) had one or more chronic conditions. Mental health disorders (MHD) were present in 8.1% (8.1-8.2) of individuals, being higher among older age groups, women, and individuals with a higher number of physical conditions. PMHC was present in 6.2% (6.1-6.2) of the study population, and 13.1% (13.0-13.2) of the subjects with any chronic physical disorder also presented with at least one MHD. Dominating MHDs among PMHC patients were anxiety and depression. The prevalence of MHD was positively correlated with the number of physical disorders. We observed variation in the type of MHD as the number of physical comorbidities increased. The prevalence of anxiety, depression, and mental and behavioral disorders due to the misuse of alcohol and other psychoactive substances increased as physical comorbidities increased, but the prevalence of schizophrenia and dementia decreased with each additional physical disease. After adjusting for age and sex, this negative association changed the sign to a positive association in the case of dementia and mental and behavioral disorders due to psychoactive substance misuse. CONCLUSIONS: The burden of physical-mental comorbidity in the Estonian population is relatively high. Further research is required to identify clusters of overlapping physical and mental disorders as well as the interactions between these conditions. Public health interventions may include structural changes to health care delivery, such as an increased emphasis on integrated care models that reduce barriers to mental health care.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
BACKGROUND: Successfully combating the opioid crisis requires patients who misuse opioids to have access to affirming and effective health care. However, there is a shortage of physicians who are willing to work with these patients. We investigated novel predictors of what might be contributing to physicians' unwillingness to engage with this patient population to better identify and direct interventions to improve physician attitudes. METHODS: 333 physicians who were board certified in the state of Ohio completed a survey about their willingness to work with patients who misuse opioids. The hypothesized relationships between the proposed predictors and willingness to work with this patient population were tested using multivariate regression, supplemented with qualitative analysis of open-text responses to questions about the causes of addiction. RESULTS: Perceptions of personal invulnerability to opioid misuse and addiction, opioid misuse and addiction controllability, and health care provider blame for the opioid crisis were negatively associated with physician willingness to work with patients who misuse opioids after controlling for known predictors of physician bias toward patients with substance use disorders. Physicians working in family and internal medicine, addiction medicine, and emergency medicine were also more willing to work with this patient population. CONCLUSIONS: Distancing oneself and health care professionals from opioid misuse and placing blame on those who misuse are negatively associated with treatment willingness. Interventions to improve physician willingness to work with patients who misuse opioids can target these beliefs as a way to improve physician attitudes and provide patients with needed health care resources.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.