Sex Differences in the Care Experiences of Patients Hospitalized Due to Ischemic Heart Disease in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: Women with heart disease experience disparities in the diagnosis, treatment, and management of their condition. However, it is unknown whether these sex differences exist with respect to in-hospital patient experience. We examined the comprehensive experience of patients hospitalized due to ischemic heart disease (IHD) across Alberta, Canada, according to sex. METHODS: Patients completed a modified version of the Canadian Patient Experiences Survey-Inpatient Care (CPES-IC) within 6 weeks of discharge. We examined 37 questions, including 33 regarding specific care processes and 4 global rating scales. Survey responses were reported as raw "top-box" percentages, that is, the most-positive answer choice to each question. Odds and corresponding 95% confidence intervals of women reporting a top-box response were then calculated for each question, while controlling for demographic and clinical factors. RESULTS: From April 2014 to March 2020, a total of 5795 surveys (1612 women, 4183 men) were completed. Taking the survey margin of error into account, women had lower top-box percentages on 26 of 37 questions. Similar results were obtained for the adjusted odds of reporting a top-box response. Women did not have a higher percentage of top-box responses on any of the questions studied. CONCLUSIONS: This study is a Canadian first, which stratified the experiences of hospitalized patients living with ischemic heart disease according to sex. Our results highlighted important sex differences. Future research to understand the mechanisms associated with these observed sex differences in patient-reported experiences is warranted.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".