Addressing Social Determinants of Health
Bibliographic record
Abstract
PURPOSE: Social determinants of health (SDOH) continue to gain attention as the factors that weigh heavily on physical and mental health. In response, professional case managers need to develop a deeper understanding of the entrenched nature of SDOH, particularly the spiraling and compounding effects of economic, environmental, and social factors on the health and well-being of individuals and populations. Professional case managers are essential to helping identify both the barriers experienced by individuals in accessing and receiving the care they need and the resources to eliminate or mitigate those barriers. These responsibilities should be most keenly felt by case managers who are board-certified and therefore held accountable by codes of ethics to ensure justice and fairness. By embedding greater awareness of SDOH into the case management process-from intake and assessment through implementation, evaluation, and across care transitions-case managers can establish rapport with clients (known as "patients" in some care settings) and support improved outcomes through best practices in care coordination, thus contributing to the Triple Aim of improving the health of people and populations and reducing the per capita cost of care. PRIMARY PRACTICE SETTINGS: SDOH impact individuals across the health and human services, including acute care, subacute care, primary care, community-based care, and workers' compensation. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Case management plays a vital role in providing people with episodic care and ensuring adequate follow-up. The latter includes if and how people are able to access the ongoing care they need, including medications (access and affordability), doctors' visits, therapies and other services, healthy nutrition, and more. However, a lack of affordability undermines an individual's ability to receive preventive care and treatment of chronic illnesses and potentially more serious and life-threatening conditions such as cancer. Compounding the impact of affordability can be a lack of transportation that inhibits access to health care professionals, which can affect individuals in both rural and inner-city environments. Although poverty and homelessness play a direct role in SDOH, case managers cannot assume which clients are impacted by these factors and which are not. Higher costs of living, loss of job or reduced income, unexpected expenses, and death of, or divorce from, a partner/spouse can negatively impact a client's ability to access and afford care. With this understanding, case managers can meet individuals where they are to explore how SDOH affects their lives, without judgment, bias, or assumption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".