Informal Caregivers in Greek Hospitals: a Unique Phenomenon of a Health System in Financial Crisis
Bibliographic record
Abstract
BACKGROUND: In Greece it is quite common for family members to provide informal unpaid care for another family member during hospitalization, alongside healthcare professionals. Understaffing and lack of nursing personnel, due to austerity measures implemented in Greece during the last eight years, force families to provide informal care during hospitalization. The aim of the research was to study the role of informal caregivers (IC) during a family's member hospitalization, factors affecting their presence and patient's needs that were met by them. MATERIAL AND METHODS: This cross-sectional study was conducted in five medical wards of a tertiary general hospital in big city of Northern Greece, during 14 weeks using a questionnaire with demographics, clinical data, and type and frequency of interventions performed by ICs. Patient/nurse ratio was also recorded. RESULTS: On the total, 210 ICs participated (63.42% response rate). The vast majority of ICs were females, married, close relatives and in their late forties. More than half of them (58.1%, n=122) stayed by their patient bedside for more than 17 hours per day, as it was found that 13.8 patients were allocated to each nurse. Less than one quarter of ICs reported that their patient's status was not serious at all and according to them, one third of the patients were totally dependent and one fifth were totally self-sufficient and able to take care of themselves. Nineteen out of the twenty three interventions performed by caregivers were interventions of basic nursing care. CONCLUSION: The GHS administration officials are called to consider nursing understaffing in order to provide adequate and safe care. As new personnel is very difficult to be hired, family members could be trained, through structured programs, in basic nursing skills and interventions, so that they could participate in their family member's care and provide continuity of care at home.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".