• Sample: 1,795 patients available at 4 months; 1,435 at 12 months; 1,256 at 18 months. Mean age 77 ±10; 79% women. ICUROS sample/demographics
• Hospitalization: 96% hospitalized after fracture. Mean hospital LOS (0–4 mo): 17.2 ± 20.4 days; months 5–18 mean LoS 1.2 ± 6.8 days. Country-level 0–4 mo mean LoS range 9.3–26.5 days. ICUROS hospitalization/LOS
• Other resource use: mean physician visits 2.8±3.1 (0–4 mo); nurse visits 2.4±9.6 (0–4 mo); analgesic use 65% (0–4 mo); calcium/vit D 41% (0–4 mo); osteoporosis pharmacotherapy 27% (0–4 mo). Uptakes reduced but persisted through months 5–18. ICUROS outpatient and med uptake

Notes: pooled mean reported with large SD (20.4) — indicates wide individual and between-country variability; country minima/maxima were given but individual country means were not listed in the abstract.

Explanation: ICUROS explicitly states the "vast majority" occurs in first 4 months but that consumption persists up to 18 months. Because the abstract doesn't provide exact proportions by resource type, this stacked bar is a qualitative visualization (conservative split 78% vs 22%) to highlight temporal concentration; do not treat as precise numeric evidence.

Critical appraisal — strengths, limitations, and blindspots

• Strengths: multicountry prospective design (follow-up at defined times) and relatively large pooled sample enable cross-country descriptive comparisons and show the heavy early burden of hip fractures (ICUROS methods summary).
• Primary limitations (from the abstract):
  • Poster-abstract format = limited methods detail (no sampling frame, country-level Ns, enrolment rates, or analytic weighting provided) — reduces reproducibility and prevents meta-analytic pooling without raw data.
  • No full COI/funding disclosure in the excerpt; pooled data include sites from countries with variable health systems (heterogeneity explains wide SDs) but no formal heterogeneity analysis reported.
  • Resource-use capture restricted to fracture-related care only — potentially undercounts attributable downstream costs (e.g., social care, long-term institutionalization) which other studies show are large contributors to total cost after hip fracture Swedish hip-fracture cost analysis).
• Threats to validity and bias risks:
  • Selection bias: inclusion criteria "lived at home prior to fracture" excludes institutionalized patients (who often have shorter survival or different resource trajectories), so pooled estimates are not representative of all hip-fracture patients.
  • Measurement bias: reliance on interviews and medical-record abstraction across countries with different coding and documentation practices risks misclassification and differential measurement error.
  • Sponsorship/publication bias: many conference abstracts in Value in Health are industry-linked; funding/conflicts not fully reported here (the data package notes mixed funding statements) and could influence which results are presented.
  • Aggregation bias: pooling 10 heterogeneous health systems without reporting country-level Ns prevents assessing whether the observed large SD is due to a few outlier countries or broad variability.

How reliable are the core numeric claims?

The abstract is the sole available document for this poster; reported numbers (96% hospitalized; mean LoS 17.2±20.4; country range 9.3–26.5) are internally consistent as descriptive evidence but carry moderate confidence only because key methodological details and raw data are absent from the abstract. Independent studies of hip-fracture costs and LOS support the claim that hip fractures drive high early resource use, but magnitude and country variation require full ICUROS dataset to validate precisely US claims cost study.

What would change my interpretation?

• Access to the full ICUROS dataset with country-level Ns, distributions, and methods for attributing resource use would allow disaggregation and uncertainty quantification (CI around means; country-specific comparisons).
• Reporting of inclusion/exclusion counts, recruitment procedures, and loss-to-follow-up reasons per country would clarify selection biases and generalizability.
• Explicit COI/funding and protocol availability (pre-specified analysis plan) would reduce concerns about selective reporting.

Actionable recommendations for future ICUROS reporting or for users of this abstract

1. Publish the full methods and country-level summary tables (LOS means/SDs per country, Ns, resource-use by category) and deposit de-identified aggregate data for reproducibility.
2. Report the proportion of patients moving to institutional care and long-term social-care resource use (municipal/nursing home), because these often dominate total costs after the acute phase Swedish hip-fracture cost analysis (social costs).
3. Standardize measurement across sites (uniform data collection forms, clear definitions of fracture-related resource use) to reduce heterogeneity from differing documentation practices.

Concise conclusion

ICUROS poster provides useful descriptive evidence that hip fractures cause concentrated early healthcare consumption (high hospitalization and long acute LoS with persistent consumption to 18 months). However, the posterior/abstract format, lack of granular methods and country-level data, incomplete COI reporting, and restriction to fracture-related care limit reproducibility and external validity; treat numeric values as indicative, not definitive, until full data/methods are available.

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