Literature DB >> 31129686

Challenges and opportunities to improve fracture liaison service attendance: fracture registration and patient characteristics and motivations.

P van den Berg1, P M M van Haard2, P P Geusens3,4, J P van den Bergh5, D H Schweitzer6.   

Abstract

This questionnaire-based study evaluated the reasons for attendance or non-attendance at the fracture liaison service in patients with a recent fracture. Frailty, male sex, living alone, and low education were associated with non-attendance, and the information perceived by the patient was associated with attendance.
INTRODUCTION: The purpose of this study was to evaluate hospital registration- and patient-related factors associated with attendance or non-attendance to the Fracture Liaison Service (FLS).
METHODS: Out of 1728 consecutive patients registered with a recent fracture at hospital entry, and after exclusion of 440 patients because of death, residence in a nursing home, already on osteoporosis treatment, or recent DXA, 1288 received an FLS invitation. We evaluated the hospital registration of fractures at entry and exit of the hospital. A questionnaire was sent to all invited patients to evaluate factors related to non-attendance (including age, gender, frailty, living alone, income, education, extrinsic motivations (impact of perceived information) and intrinsic motivations (patient's own perceived views and opinions) and to attendance (personal impact of clinical professionals' advice).
RESULTS: There were 278 more hospital exit codes than entry codes. Of the 1288 invited patients, 745 returned analyzable questionnaires (537 attenders and 208 non-attenders). Non-attendance was associated with male gender (OR: 2.08, 95% CI: 1.35, 3.21), frailty (OR: 1.62, CI: 1.08, 2.45), living alone (OR:2.05, CI: 1.48, 2.85), low education (OR: 1.82, CI: 1.27, 2.63), not interested in bone strength (OR: 1.85, CI: 1.33, 2.63), and being unaware of increased subsequent fracture risk (OR: 1.75, CI: 1.08, 2.86). Information perceived by the patient was significantly associated with attendance (OR: 3.32, CI: 1.75, 6.27).
CONCLUSION: Fracture entry registration inaccuracies, male gender, frailty, living alone, having low general education, or low interest in bone health and subsequent fracture risk were independently associated with FLS non-attendance. Adequately perceived advice (to have a bone densitometry and attend the FLS) was strongly associated with FLS attendance.

Entities:  

Keywords:  Attendance; FLS; Non-attendance

Mesh:

Year:  2019        PMID: 31129686     DOI: 10.1007/s00198-019-05016-4

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  35 in total

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Review 2.  EULAR/EFORT recommendations for management of patients older than 50 years with a fragility fracture and prevention of subsequent fractures.

Authors:  W F Lems; K E Dreinhöfer; H Bischoff-Ferrari; M Blauth; E Czerwinski; Jap da Silva; A Herrera; P Hoffmeyer; T Kvien; G Maalouf; D Marsh; J Puget; W Puhl; G Poor; L Rasch; C Roux; S Schüler; B Seriolo; U Tarantino; T van Geel; A Woolf; C Wyers; P Geusens
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Review 3.  Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis.

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4.  Contributors to secondary osteoporosis and metabolic bone diseases in patients presenting with a clinical fracture.

Authors:  Sandrine P G Bours; Tineke A C M van Geel; Piet P M M Geusens; Marcel J W Janssen; Heinrich M J Janzing; Ge A Hoffland; Paul C Willems; Joop P W van den Bergh
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Authors:  Amy H Warriner; Nivedita M Patkar; Huifeng Yun; Elizabeth Delzell
Journal:  Curr Osteoporos Rep       Date:  2011-09       Impact factor: 5.096

6.  The fracture liaison service: success of a program for the evaluation and management of patients with osteoporotic fracture.

Authors:  Alastair R McLellan; Stephen J Gallacher; Mayrine Fraser; Carol McQuillian
Journal:  Osteoporos Int       Date:  2003-11-05       Impact factor: 4.507

Review 7.  Frailty in elderly people.

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8.  Predictors of near-term fracture in osteoporotic women aged ≥65 years, based on data from the study of osteoporotic fractures.

Authors:  D Weycker; J Edelsberg; R Barron; M Atwood; G Oster; D B Crittenden; A Grauer
Journal:  Osteoporos Int       Date:  2017-06-07       Impact factor: 4.507

9.  Paper- or Web-Based Questionnaire Invitations as a Method for Data Collection: Cross-Sectional Comparative Study of Differences in Response Rate, Completeness of Data, and Financial Cost.

Authors:  Jonas Fynboe Ebert; Linda Huibers; Bo Christensen; Morten Bondo Christensen
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10.  Factors related to intentional non-initiation of bisphosphonate treatment in patients with a high fracture risk in primary care: a qualitative study.

Authors:  Karin M A Swart; Myrthe van Vilsteren; Wesley van Hout; Esther Draak; Babette C van der Zwaard; Henriette E van der Horst; Jacqueline G Hugtenburg; Petra J M Elders
Journal:  BMC Fam Pract       Date:  2018-08-23       Impact factor: 2.497

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Review 1.  Quality Improvement Initiatives in Fragility Fracture Care and Prevention.

Authors:  Paul J Mitchell; Cyrus Cooper; Masaki Fujita; Philippe Halbout; Kristina Åkesson; Matthew Costa; Karsten E Dreinhöfer; David R Marsh; Joon-Kiong Lee; Ding-Cheng Derrick Chan; M Kassim Javaid
Journal:  Curr Osteoporos Rep       Date:  2019-12       Impact factor: 5.096

2.  A patient-level key performance indicator set to measure the effectiveness of fracture liaison services and guide quality improvement: a position paper of the IOF Capture the Fracture Working Group, National Osteoporosis Foundation and Fragility Fracture Network.

Authors:  M K Javaid; A Sami; W Lems; P Mitchell; T Thomas; A Singer; R Speerin; M Fujita; D D Pierroz; K Akesson; P Halbout; S Ferrari; C Cooper
Journal:  Osteoporos Int       Date:  2020-04-08       Impact factor: 4.507

3.  Evaluation of an Osteoporosis Outreach Program for Men With a Fragility Fracture and Their Physicians.

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Review 4.  Efficacy and efficiency of fracture liaison services to reduce the risk of recurrent osteoporotic fractures.

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