Cross-Sectional Study Methodology
Cross-source consensus on Cross-Sectional Study Methodology from 1 sources and 6 claims.
1 sources · 6 claims
Uses
Risks & contraindications
Evidence quality
Where it comes from
Highlighted claims
- The study was a cross-sectional analysis conducted as part of a Ministry of Health Malaysia functional exercise over six weeks in June–July 2022 across thirteen public emergency hospitals. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study
- Systematic random sampling was applied using a fixed interval of every 10th record within each participating hospital until each hospital's pre-specified quota was reached. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study
- Of 10,247 records initially collected, 9,942 complete records were retained for analysis after exclusion of incomplete or erroneous entries. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study
- The study design was calibrated for national-level representativeness rather than per-hospital statistical comparisons, meaning inter-hospital variability should be interpreted cautiously. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study
- The study recommends expanding data collection to a full calendar year to capture seasonal trends and provide a more robust basis for DRG development. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study
- The six-week data collection window may not capture seasonal variation, though Malaysia's tropical climate limits the extent of such fluctuation. — Patterns of ICD-10 diagnoses in emergency departments of public hospitals in Malaysia: a cross-sectional study