What socio-economic factors determine place of death for people with life-limiting illness? A systematic review and appraisal of methodological rigour
Bibliographic record
Abstract
BACKGROUND: Socio-economic factors play important roles in place of death. However, up-to-date knowledge on socio-economic determinants for place of death is warranted including analysis of collinearity between socio-economic determinants. AIM: To examine associations between socio-economic determinants (social class, deprivation level in area of residence, income, education, occupation, urbanisation) and place of death among adult patients with life-limiting illnesses. Furthermore, to describe how these factors are operationalised and examined for collinearity. DESIGN: A systematic review was performed (PROSPERO, record: CRD42018091218) and quality was assessed using the Newcastle-Ottawa Scale. DATA SOURCES: A comprehensive search of PubMed, Embase, CINAHL, Scopus and PsycINFO was conducted for studies published from 1 January 2008 until the date of the search (23 March 2018) in English or Scandinavian languages. RESULTS: Of the 1599 unique citations identified, 34 studies were eligible. Dying at home was to a high degree associated with better financial situation and living in rural areas. Furthermore, hospital death was associated with a high level of deprivation in the area of residence and being employed. Regarding educational level, we found mixed and inconclusive results. CONCLUSION: Inequalities concerning place of death were found, and attention towards socio-economic inequality concerning place of death is necessary, especially in patients with a poor financial status, patients living in deprived and metropolitan areas and patients who are employed. Furthermore, we found a low degree of assessment for collinearity and adjustment of socio-economic variables. These issues should be considered in planning of future studies of socio-economic determinants for place of death.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.014 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".