Evidence map›Paper›PMID 42221965›Full record

ArticleFrontiers in health services2026

International benchmarking of secondary fracture prevention in older adults with hip fracture: a Chinese hospital-based KPI audit.

Yuan Yuan, Wei Wang, Ping-Yang Li, Meng Zhang, Yan-Na Lu, Ming-Hui Yang, Wei Tian, Jing Zhang

Abstract read
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Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuan YuanDepartment of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Wei WangDepartment of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Ping-Yang LiPeking University Health Science Center, Beijing, China.
Meng ZhangNational Center for Orthopaedics, Beijing, China.
Yan-Na LuDepartment of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Ming-Hui YangNational Center for Orthopaedics, Beijing, China.
Wei TianDepartment of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Jing ZhangSchool of Public Health, Harbin Medical University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study provides the first international benchmarking of postoperative hip fracture care in Chinese tertiary hospitals using the UK Fracture Liaison Service (FLS) Key Performance Indicators within a "cascade of care" framework. Methods: This study was reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. We conducted a retrospective audit of 2,689 patients aged ≥60 years who received hip fracture surgery in an orthogeriatric co-managed ward from 2016 to 2018. Performance was measured against seven validated FLS KPIs: bone mineral density (BMD) screening, anti-osteoporosis medication initiation, falls risk assessment, rehabilitation provision, follow-up adherence, and secondary fracture incidence at specified time points. Results: Inpatient metrics were excellent: 97.1% (2,610/2,689) underwent BMD screening and 94.0% (2,454/2,610) received bone-protective medication prior to discharge, both exceeding UK benchmarks. Post-discharge follow-up declined sharply: 50.7% (1,363/2,689) at 90 days, 17.7% (477/2,689) at 12-16 weeks, and 9.5% (255/2,689) at 12 months. Secondary fracture rates remained high (11.0-13.4%) across follow-up intervals despite strong treatment initiation. International comparison highlighted strengths in acute inpatient management but exposed deficits in community-based coordination and long-term adherence relative to integrated FLS models. Conclusion: This pioneering international comparison demonstrates that Chinese hospital-centric orthogeriatric co-management delivers outstanding acute care but struggles with sustained secondary fracture prevention due to fragmented healthcare pathways and limited primary care integration. Implementation of dedicated FLS coordinators, digital engagement tools, and structured hospital-community partnerships is essential to build a comprehensive secondary prevention network and reduce long-term fracture risk in China's aging population.

Indexed as

aging populationfracture liaison servicehip fractureorthogeriatric caresecondary fracture prevention

Identifiers

PMID42221965
PMCPMC13216484

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.