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Record W2897733364 · doi:10.1002/ehf2.12369

Self-Reported Health and Quality of Life Outcomes of Heart Failure Patients in the Aftermath of a National Economic Crisis: A Cross-Sectional Study

2018· article· en· W2897733364 on OpenAlexaboutno aff
Auður Ketilsdóttir, Brynja Ingadóttir, Tiny Jaarsma

Bibliographic record

VenueESC Heart Failure · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersHáskóli Íslands
KeywordsMedicineQuality of life (healthcare)AnxietyEQ-5DDepression (economics)Heart failureVisual analogue scaleCross-sectional studyHealth careScale (ratio)Hospital Anxiety and Depression ScalePublic healthGerontologyPsychiatryPhysical therapyHealth related quality of lifeInternal medicineDiseaseNursing

Abstract

fetched live from OpenAlex

AIMS: There are indications that economic crises can affect public health. The aim of this study was to describe characteristics, health status, and socio-economic status of outpatient heart failure (HF) patients several years after a national economic crisis and to assess whether socio-economic factors were associated with patient-reported outcome measures (PROMs). METHODS AND RESULTS: In this cross-sectional survey, PROMs were measured with seven validated instruments, as follows: self-care (the 12-item European Heart Failure Self-Care Behaviour scale), HF-related knowledge (Dutch Heart Failure Knowledge Scale), symptoms (Edmonton Symptom Assessment System), sense of security (Sense of Security in Care-'Patients' evaluation'), health status (EQ-5D visual analogue scale), health-related quality of life (HRQoL) (Kansas City Cardiomyopathy Questionnaire), and anxiety and depression (Hospital Anxiety and Depression Scale). Additional data were collected on access and use of health care, household income, demographics, and clinical status. The patients' (n = 124, mean age 73 ± 14.9, 69% male) self-care was low for exercising (53%) and weight monitoring (50%) but optimal for taking medication (100%). HF-specific knowledge was high (correct answers 12 out of 15), but only 38% knew what to do when symptoms worsened suddenly. Patients' sense of security was high (>70% had a mean score of 5 or 6, scale 1-6). The most common symptom was tiredness (82%); 12% reported symptoms of anxiety, and 18% had symptoms of depression. Patients rated their overall health (EQ-5D) on average at 65.5 (scale 0-100), and 33% had poor or very bad HRQoL. The monthly income per household was <€3900 for 84% of the patients. A total of 22% had difficulties making appointments with a general practitioner (GP), and 5% had no GP. On average, patients paid for six health care-related items, and >90% paid for medications, primary care, and visits to hospital and private clinics out of their own pocket. The cost of health care had changed for 71% of the patients since the 2008 economic crisis, and increased out-of-pocket costs were most often explained by a greater need for health care services and medication expenses. There was no significant difference in PROMs related to changes in out-of-pocket expenses after the crisis, income, or whether patients lived alone or with others. CONCLUSIONS: This Icelandic patient population reported similar health-related outcomes as have been previously reported in international studies. This study indicates that even after a financial crisis, most of the patients have managed to prioritize and protect their health even though a large proportion of patients have a low income, use many health care resources, and have insufficient access to care. It is imperative that access and affordable health care services are secured for this vulnerable patient population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.076
GPT teacher head0.440
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2018
Admission routes1
Has abstractyes

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