Literature Collection
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Opioids & SU
The Literature Collection contains over 11,000 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).
BACKGROUND: Given a marked expansion in the work of primary care in recent decades, it is critical to have an accurate understanding of the time involved in managing a primary care panel and the determinants of this time. OBJECTIVE: To estimate the yearly work effort involved for primary care physicians (PCPs) in caring for a patient panel, explore how work effort varies by clinical full-time equivalent (cFTE) status, and identify patient panel factors associated with differential time expenditure. DESIGN: Cross-sectional, observational study using electronic health record and administrative data scaled by a literature-based estimate of activities inadequately captured by these data sources. SETTING: 33 clinics in the Mass General Brigham health system. PARTICIPANTS: 406 attending PCPs who delivered care for at least 9 months in 2021. MEASUREMENTS: Total yearly time expenditure per patient and full-time PCP. RESULTS: The median work effort for a full-time PCP was 2844.3 yearly hours (IQR, 2324.9 to 3478.9 yearly hours), or 61.8 weekly hours (IQR, 50.5 to 75.6 weekly hours), for a 1.0-cFTE physician assuming a 46-week work year. This translates to a median of 1.7 hours (IQR, 1.4 to 2.2 hours) per patient per year. Part-time PCPs spent more time per patient on average than full-time PCPs. Patient medical advice request volume and certain panel characteristics, including greater average age, medical complexity, and percentage of patients with Medicaid, were associated with greater yearly PCP time expenditure per patient. LIMITATION: Derivation of data from a single integrated health system and lack of information about practice structures and staff supports for PCPs. CONCLUSION: Primary care physicians spend a median of 62 weekly hours caring for a patient panel. Panel characteristics and patient message volume are associated with time expenditure. These findings provide valuable insights for designing sustainable primary care roles and adjusting panel size expectations. PRIMARY FUNDING SOURCE: The Physicians Foundation.
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.
OBJECTIVE: Primary care physicians (PCPs) are positioned to mitigate opioid morbidity and mortality, but their engagement in primary, secondary, and tertiary opioid-related prevention behaviors is unclear. The objective of this study was to evaluate Tennessee PCPs' engagement in and intention to engage in multiple opioid-related prevention behaviors. METHODS: A survey instrument was developed, pretested, and pilot tested with practicing PCPs. Thereafter, a census of eligible Tennessee PCPs was conducted using a modified, four-wave tailored design method approach. Three patient scenarios were employed to assess physician intention to engage in 10 primary, secondary, and tertiary prevention behaviors. Respondents were asked to report, given 10 similar scenarios, the number of times (0-10) they would engage in prevention behaviors. Descriptive statistics were calculated using SPSS version 25. RESULTS: A total of 296 usable responses were received. Physician intention to engage in prevention behaviors varied across the 10 behaviors studied. Physicians reported frequently communicating risks associated with prescription opioids to patients (8.9 ± 2.8 out of 10 patients), infrequently utilizing brief questionnaires to assess for risk of opioid misuse (1.7 ± 3.3 out of 10 patients), and screening for current opioid misuse (3.1 ± 4.3 out of 10 patients). Physicians reported seldomly co-prescribing naloxone for overdose reversal and frequently discharging from practice patients presenting with an opioid use disorder. CONCLUSIONS: This study noted strengths and opportunities to increase engagement in prevention behaviors. Understanding PCPs' engagement in opioid-related prevention behaviors is important to effectively target and implement morbidity and mortality reducing interventions.
This study examined a program focused on integrating mental health in a family medicine practice in an economically challenged urban setting. The program included using a behavioral health technology platform, a behavioral health collaborative composed of community mental health agencies, and a community health worker (CHW). Of the 202 patients screened, 196 were used for analysis; 56% were positive for anxiety, 38% had scores consistent with moderate to severe depression, and 34% were positive for post-traumatic stress disorder. There was a statistically significant difference in the diagnosis of depression when comparing the screened group to a control group. Only 27% of patients followed through with behavioral health referrals despite navigational assistance provided by a CHW and assured access to care through a community agency engaged with the Behavioral Health Alliance. Further qualitative analysis revealed that there were complex patient factors that affected patient decision making regarding follow-up with behavioral health care.
OBJECTIVE: To explore primary care patients' and practitioners' views and experiences of remote consulting for common mental disorders (CMDs), to optimise their management in primary care. DESIGN: Qualitative study using in-depth interviews and thematic analysis. A topic guide was used to ensure consistency across interviews. The interviews were audio-recorded, transcribed verbatim and analysed thematically. There was patient and public input throughout. SETTING: Participants were recruited from general practices. Interviews were held by telephone or videocall between March 2023 and October 2023. PARTICIPANTS: We interviewed 20 practitioners and 21 patients. RESULTS: Interviewees suggested benefits included convenience, increased anonymity and were easier for those feeling very low or anxious. Challenges included practitioners finding it hard to assess risk, which lengthened consultation duration or led to further contact, increasing practice workload and patients feeling anxious waiting for the practitioner to call. In-person appointments were viewed as important for initial consultations and providing a safe space. Continuity of care and practitioner training were identified as facilitators for telephone consultations, and both patients and practitioners identified training needs around how to deliver mental healthcare remotely. CONCLUSIONS: Practitioners should aim to offer continuity of care and in-person appointments when patients initially seek help. Remote consultations may not be more time or cost-efficient for individuals with CMDs as risk is harder to assess. There is a need to evaluate existing training on delivering remote consultations to identify whether remote mental healthcare is included or should be incorporated in the future.
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