Abstract
Each year, hundreds of thousands of older adults unnecessarily endure debilitating fractures because the underlying cause of their broken bones, osteoporosis, was not detected or treated. These fractures impose a massive burden on the patients, as well as healthcare and social services. The International Osteoporosis Foundation subsequently supported a “Capture the Fracture” campaign to encourage the creation of FLS programs worldwide and thereby improve both the detection and subsequent management of osteoporosis-related fractures. The two major objectives of an FLS are (1) to reduce the 80% of adult low-trauma fracture patients not currently screened and/or treated for osteoporosis (“the treatment gap”) and (2) to enhance communication between different healthcare providers to facilitate the treatment of fragility fractures. Today, FLSs are widely considered the most efficient way to identify patients with a major osteoporotic fracture, assess their bone status, and select the most appropriate treatment and follow-up schedule. This chapter will discuss the concept of fracture liaison service, its different models and components, and outcomes. It will expand to discuss the cost-effectiveness of fracture liaison services and its impact on bone mineral density testing, initiation, as well as adherence to therapy. It will conclude by presenting the best practice published by the International Osteoporosis Foundation for fracture liaison services.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
- Fragility fracture
- Osteoporosis
- Case-finding
- Disease awareness
- Policy
- Prioritization
- Secondary prevention
- Primary prevention
Introduction
Osteoporosis is characterized by a reduction in bone mass and strength, predisposing patients to an increased risk of fragility fractures [1]. The condition is asymptomatic, and therefore its first clinical manifestation is often a low-trauma (fragility) fracture. Fragility fractures cause significant morbidity and mortality and therefore are a considerable public health burden (Fig. 14.1) [2]. The National Osteoporosis Foundation estimated that one in two women and one in five men will experience an osteoporotic-related fracture during their lifetime [3]. Furthermore, a previous low-trauma fracture, at any site, increases the risk of a subsequent fracture by approximately twofold in women and men (Fig. 14.2) [4, 5].
Fracture liaison services (FLS) are considered the coordinator-based model of secondary fracture prevention services with a broad remit. FLS have been designed to identify patients who are at increased risk of secondary fractures, carry out comprehensive assessment, and ensure that the appropriate treatment is initiated through improved care coordination and communication [6,7,8]. Several organization bodies including the International Osteoporosis Foundation (IOF), the American Society for Bone and Mineral Research (ASBMR) [9], and European League Against Rheumatism(EULAR)/European Federation of National Associations of Orthopaedics and Traumatology (EFORT) have endorsed the provision of FLS services in standard practice for the prophylaxis of secondary bone fractures [10]. Meta-analysis studies confirmed the positive role of FLS and its impact on rates of BMD assessment as well as osteoporosis treatment initiation [11, 12].
However, it is acknowledged that treatment gaps remain [11] and pharmacological prevention remains suboptimal. In 2013, the International Osteoporosis Foundation (IOF) initiated the promotion of FLS programs, continually being implemented worldwide; however, so far, their outcomes show wide variability in the literature. This chapter will discuss the concept of fracture liaison service, its different models and components, and outcomes. It will expand to discuss the cost-effectiveness of fracture liaison services and its impact on bone mineral density testing, initiation, as well as adherence to therapy. It will conclude by presenting the best practice published by the International Osteoporosis Foundation for fracture liaison services.
Fracture Liaison Service: The Concept
Given the global problems leading to and caused by osteoporosis, fracture liaison services came about to help diagnose and begin long-term management in these patients who sustain a fragility fracture as their initial presentation of osteoporosis. The World Health Organization (WHO) has identified fragility fracture as one which occurs due to forces equivalent to a fall from a standing height or less and are not attributed to high-energy traumas like motor vehicle accidents or high velocity mechanism of injuries [13]. In a healthy individual, the result of such a fall may be bruised skin and a bruised ego. In patients with osteoporosis, such a fall may result in fractures [14]. The most common initial fracture in younger adults tends to be distal, e.g., distal forearm. In older adults, the most common fragility fractures occur at the hip, wrist, spine, humerus, or pelvis. Fracture liaison services seek to seamlessly transition these patients from surgical care of the fracture to long-term management of the disease in order to treat the disease process and prevent future fracture.
A fracture liaison service (FLS) systematically identifies, treats, and refers to appropriate services for all eligible patients aged 50 and older within a local population who have suffered fragility fractures, with the aim of reducing their risk of subsequent fractures.
An FLS is an essential component of a comprehensive and integrated approach to preventing falls and fractures among people over the age of 50 years. Assessment within an FLS should be part of the pathway for all patients with a fragility fracture. An FLS comprises a dedicated coordinator (often a nurse specialist) who works to pre-agreed protocols to case-find and then assess patients who have had a fracture. The service may be based in hospital or in the community and requires support from a medically qualified practitioner (typically a hospital doctor or GP with special expertise in bone health and fragility fracture prevention).
Fracture Liaison Service Models
Fracture liaison services (FLSs) are effective models for prevention of osteoporotic fractures. Marsh et al. [15] described 12 different models that have been described in scientific literature to deliver secondary fracture prevention. These ranged from programs aimed at increasing awareness of osteoporosis through to intensive programs that identify, investigate, and initiate treatment (Fig. 14.3). Some programs are completely delivered within the FLS model, and some involve the general practitioner (GP) in primary care. Ganda et al. [16] conducted a similar review and grouped all published programs in scientific literature into four “types” of FLS models, referring to them as types A to D.
-
Type A: defined as a service that identifies, investigates, and initiates treatment.
-
Type B: services identify and investigate patients but then refer back to the primary care physician for treatment initiation.
-
Type C: services identify patients at risk and inform them and their primary care physician. However, they do not undertake any assessment or treatment of the patients.
-
Type D: services identify at-risk patients and inform and educate them but take no further part in communicating their findings to other stakeholders in the patient’s care.
In the era of artificial intelligence (AI), recent FLS models have been established by smart healthcare systems which can assist clinicians and case managers to identify, investigate, and initiate treatments and improve adherence efficiently. The role of AI will become increasingly important assisted by an efficiently working intelligent healthcare information system. The AI system can automatically analyze reports of X-ray and DXA examinations and identify patients with hip fractures and vertebral compression fractures, osteoporosis, low bone mass, as well as high fracture risk. Moreover, the system’s data analysis can not only reduce the rate of missed patients but can also reach a 93.6% rate of 1-year medication adherence [17]. Therefore, the smart healthcare case management system can be a novel model to achieve better outcomes in the fragility fracture prevention program of FLSs. Table 14.1 shows the most common FLS models.
Components of Fracture Liaison Service
FLSs include mainly evaluation of all people aged 50 years or older who have sustained a new fracture or radiological fragility fracture at any skeletal site, though exceptions are justified for fractures of skull, facial, digit, and scaphoid bones that are typically caused by a traumatic injury. A pragmatic approach to the definition of a fragility fracture which is vital to initiate the process with exclusions might only be made in the case of a road traffic collision (or other clearly significant trauma) or where a fall has clearly been from above standing height. Table 14.2 shows a summary of the main components of the fracture liaison service, which include:
Identify
The FLS identifies people aged 50 years or older who sustain a new fragility fracture. This includes:
-
Newly identified vertebral fracture.
-
Newly identified low trauma fracture.
-
A new fracture occurring while a patient is taking an osteoporosis drug therapy.
Identifying people aged 50 years or older with a new clinical fracture is in the core of the FLS process and is a main responsibility of the service. Ideally, this is carried out by an “FLS coordinator” who is a dedicated nurse specialist, although this role may also be undertaken by allied health professionals (AHPs) or nonclinical personnel. Identification of new clinical fracture presentations is achieved according to the approach the patient has been handled by the hospital:
Inpatient Fractures
People who need to stay in hospital after their fracture are not only at highest future fracture risk [18, 19] but also are among the most straightforward to identify. Identification of this group can be carried out either through orthogeriatric inpatients service, setting up a notification system with orthopaedics team, trauma nurse, or using IT/informatics systems. Coordination with the local orthopedics and trauma teams is essential in order to agree roles and responsibilities for identifying people aged 50 or older who have had a fragility fracture and to grant the FLS staff access to the patients under the care of Orthopaedic or Accident and Emergency Departments. Similarly, falls which occur during hospital admission that result in a fracture should be also assessed by the FLS. These can be identified via DATIX (or similar incident reporting systems), seen in fracture clinic or transferred to orthopedics.
Outpatient Fractures
People who are managed in outpatient fractures clinics could be considered as easier identifiable cohort. These can be recognized by reviewing accident and emergency department lists, screening fracture clinic notes, leaving questionnaires with the receptionists to be handed over to the patients to complete while attending the clinics, reviewing primary care records, and linking with virtual fracture clinics.
Silent Vertebral Fractures
Vertebral fractures are among the most common osteoporosis-associated fractures and very important in predicting future osteoporotic fractures. Unfortunately, they are often missed, and studies reveal that they account for less than 5% of clinical fracture presentations to FLS [20]. Best approaches to identify this cohort is through liaising with radiology to agree a notification system highlighting any vertebral fractures identified in X-rays which can be incidental findings on plain X-rays, CT, and MRI scans images, also to carry out vertebral fracture assessment (VFA) [20, 21]. Liaising with physiotherapy-led musculoskeletal back pain services or other interface might also be helpful to identify any case lost from the record.
Organization bodies recommend that radiologists should (1) review the spine in all images of the chest, abdomen, and pelvis; (2) report vertebral fractures clearly using the term “vertebral fracture”; and (3) recommend further assessment and management to reduce fracture risk. This would help using electronic software that are able to search or the word “fracture” or “vertebral fracture” and generate an automatic electronic letter to the FLS.
Referrals
Referrals to the FLS from other services, such as GPs, pain clinics, interface services, and falls services, should also be encouraged. Referral pathways should be set up to ensure all the patients receive appropriate bone healthcare provided by the FLS.
Out of the Hospital FLS Setup
An out-of-hospital FLS requires another setup that relies mainly on reporting from fracture clinic accident and emergency department as well as radiology departments. This mandates close liaison with local secondary care center(s) to enable seamless, continuous capture of all relevant cases. Similar approach should be followed regarding in-patients where coordination with orthopedic department, orthogeriatrics, as well as radiology department should be implemented to identify patients who may get admitted with fractures or sustain a fracture during their hospital admission.
It is, however, improbable that any single approach will identify all patients with a new fracture and the FLS coordinator will customize screening methods as per local systems. Therefore, it is recommended that multiple strategies are used for identification to maximize the yield.
Investigate
A comprehensive multifactorial assessment should be carried out targeting the group of people who need it. Prompt assessment and intervention is highly required as the risk of having a subsequent fracture is high particularly in the first year following an index fracture. Therefore, investigations should start as soon as feasible after the fracture so that interventions are not delayed. These include:
Fracture Risk Assessment
There are several fracture risk assessment tools. The commonest in use is FRAX which is endorsed by the International Osteoporosis Foundation and National Osteoporosis Foundation. Q-fracture has been recommended for use mainly in the UK. Guidelines and treatment recommendations regarding how to implement FRAX or Q-fracture in fracture risk assessment should be followed to develop local protocols. However, users need to be aware of key limitations of these risk tools to understand how to handle the calculated fracture risk scores. These limitations include differences in one fracture risk by differences in fracture site, number of fractures and recency of fracture, as well as prevalence of other medical conditions such as diabetes mellitus or drug therapies such as androgen deprivation therapy.
DXA Scans
BMD measurement is an important part of clinical decision-making. It quantifies 16 the severity of osteoporosis, serves as a means to quantify fracture risk, is an important part of clinical as well as therapeutic decision-making, and also establishes a baseline for future evaluation of treatment performance. Therefore, it is recommended to have a BMD measurement before commencing osteoporosis drug therapy wherever feasible.
Vertebral Fracture Assessment (VFA)
In addition to BMD measurement, DXA can be used to assess for prevalent vertebral fractures. Quick and cheap to perform and with minimal additional X-ray exposure, VFA not only precludes the substantially higher cost and radiation exposure of conventional plain spine radiology but also can reliably identify the presence of vertebral fractures and semi-quantitatively assess the degree of the vertebral fracture. Guidelines produced by the International Society for Clinical Densitometry [20] can be used to develop local protocols.
Trabecular Bone Score (TBS)
The trabecular bone score is a measure of bone texture correlated with bone microarchitecture and a marker for the risk of osteoporosis. Introduced in 2008 [22], its main projected use is alongside measures of bone density in better predicting fracture risk in people with metabolic bone problems. The trabecular bone score is a textural parameter that can be applied to DEXA, which quantifies the local variations in gray level. TBS is derived from the evaluation of the experimental variogram, obtained from the grayscale DEXA.
It was reported that TBS is a reflection of the structural condition of the bone microarchitecture. TBS is strongly correlated with the number of trabeculae and their connectivity and negatively with the space between trabeculae [23, 24]. That is to say that a high TBS value means that microarchitecture bone is dense, well connected with little spaces between trabeculae. Conversely, a low TBS value means that the microarchitecture of bone is incomplete and poorly connected with wide spaces between trabeculae [25]. FRAX scores can be adjusted for TBS. An algorithm derived from WHO FRAX calculation tool (available online https://www.sheffield.ac.uk/TBS/) has been developed to adjust: probability of fracture from clinical risk factors and BMD to account for TBS. The calculated probabilities of fracture have been shown to be more accurate when computed including TBS.
Falls Risk Assessment
All people aged 65 years and older checked be checked for whether they have fallen in the past year and about the frequency, context, and characteristics of their fall/s. Older people reporting a fall or considered at risk of falling should be observed for balance and gait deficits and considered for their ability to benefit from interventions to improve strength and balance. This may also be appropriate in people aged 50–64 seen by the FLS who have risk factors for falls. FLS coordinators will need adequate training and expertise in these initial assessment techniques.
An FLS will engage closely with local falls services, to determine access to appropriate pathways to ensure early falls risk assessment and intervention post-fracture. Several tools to assess for falls risk are available which can be implemented in standard practice [26,27,28,29,30]. While the responsibility for any subsequent multifactorial falls assessment and targeted intervention will lie primarily with local falls services, measures to protect the patients from sustaining another fracture should be tackled by the FLS team. Therefore, there must be clear and timely linkage to the necessary intervention pathways.
Other Investigations
Patients believed to be at increased risk of fracture should be also medically assessed for:
-
(a)
Osteosarcopenia as this makes the subject prone to falling over and sustain low-trauma fractures.
-
(b)
Underlying secondary causes of osteoporosis/high fracture risk including exclusion of diseases that can present with osteoporosis and vertebral fracture (such as multiple myeloma or malignancies/metastasis).
Laboratory tests should be carried out to guide treatment selection and ensure treatment safety. Blood tests for bone profile and kidney functions should be carried out from point of view of safe prescribing, whenever a bisphosphonate treatment is advised. Vitamin D assessment would help in the assessment of osteosarcopenia.
Other procedures may be appropriate for individual patients depending on the clinical presentation and local protocols. These may include [31]:
-
Full blood count (FBC).
-
Erythrocyte sedimentation rate (ESR).
-
C-reactive protein.
-
Liver function tests (LFTs).
-
Thyroid function tests (TFTs).
-
Serum protein immunoelectrophoresis, serum free light chains, and urinary Bence-Jones protein.
-
Plasma parathyroid hormone particularly in patients with hypercalcemia.
-
Serum prolactin.
-
Serum testosterone, sex hormone-binding globulin, follicle stimulating hormone, luteinizing hormone (in males).
-
24-hour urinary free cortisol/overnight dexamethasone suppression test
-
Endomysial and/or tissue transglutaminase antibodies.
-
Biomarkers of bone turnover.
-
Urinary calcium excretion.
Inform
Patient education is an important component of an FLS. By adopting the patient-centered care of management style, this will ensure giving sufficient time within the patients’ appointment to encourage them to raise their queries, discuss their management options and available medications, provide information about other services they may be referred to (such as falls prevention, physiotherapy, pain clinics, orthopedic surgery, etc.), and explain the next steps in their care. The priorities are to cover simple key points and back this up with information resources in appropriate formats. Information should cover:
-
Osteoporosis and risk factors for fracture.
-
Lifestyle interventions aimed at reducing fracture risk including nutrition and exercise.
-
Coping with pain and any disability associated with their fracture.
-
Drug treatment options for osteoporosis management—including information on benefits and possible side effects.
-
Reducing falls risk.
-
Next steps in their care plan and follow-up appointments.
People may feel overwhelmed when they are given a diagnosis. Feeling concerned and worried about themselves may make them not able to absorb or understand all the information given to them in the standard clinic setting. Information leaflets summarizing the key information in an appropriate format can give them extra information outside the clinic setting after their FLS appointment. Ways to contact the FLS staff or through an information helpline by organization bodies such as Royal Osteoporosis Society in the UK should be provided. Patients groups also are helpful in spreading the word and sharing experiences. All written communications and materials need to be in layman’s terms and easily understood by the person who has had a fracture. It is good practice to ensure the person receives a copy of reports and clinic letters from the FLS appointments to facilitate their ongoing care.
Intervention
Intervention following FLS assessment will comprise a package of care tailored to the individual patient’s needs. This should address all the modifiable fracture risk factors that have been identified for the individual person. In general treatment strategy should handle three main pillars:
-
People at high risk of fragility fracture should start an appropriate osteoporosis therapy.
-
People at high risk of falling should be referred to falls prevention services and offered interventions such as balance exercise and measures to improve sarcopenia to keep them strong, steady, and independent.
-
People who are start interventions to reduce risk of fracture should be monitored by the FLS team.
Osteoporosis Therapy
There are a range of effective drug treatments for osteoporosis [32, 33]. Treatment decisions should adopt shared decision-making approach taking into account the patient’s medical status, the patient’s preference, and an analysis of benefit versus risk (side effects). An optimal treatment choice should be supported by a strong evidence base and should have demonstrated benefits in terms of reducing vertebral and nonvertebral (including hip) fracture risk [31].
Falls Management
Many fragility fractures occur as a result of a fall, and many of the falls contributing risk factors are modifiable with appropriate interventions. Though clinical trials of falls interventions have not to date demonstrated an effect upon fracture risk reduction, common sense should be adopted in promoting these proven interventions to reduce future falls risk [34, 35]. Exercise can also reduce fear of falling and improve confidence [29]. It may help to promote bone strength as well as help with the symptoms caused by vertebral fractures especially postural changes and back pain [36].
In most cases, the development of an individualized multifactorial intervention will be undertaken by the falls prevention service which may comprise:
-
Strength and balance training.
-
Home hazard assessment and intervention.
-
Vision assessment and referral.
-
Medication review with modification/withdrawal.
Regular balance exercises are recommended for anyone who is unsteady or older 48 than 65 years and not doing regular active leisure or sports [37].
Improving Adherence
Commonly reported barriers to osteoporosis treatment adherence include actual and perceived side effects, dosing complexity, medication costs, lack of perceived need for therapy, poor perceptions regarding treatment effectiveness, poor patient-provider relationship, little patient involvement in treatment decision-making, and lack of treatment follow-up [38,39,40,41,42]. Evidence suggests that patients regularly reassess their perceived need for treatment against barriers to continued therapy [42, 43]. Strategies that enhance patient-provider communication and treatment follow-up may thus help to improve treatment adherence [44].
First, patients who feel comfortable with their physicians are more likely to trust the diagnosis, accept a prescribed treatment, and return to their doctor to discuss medication problems [40, 44]. Healthcare providers play a key role in shaping perceptions of fracture risk and osteoporosis drug effectiveness [40, 45, 46]. However, many patients fail to associate fracture with a diagnosis of osteoporosis [45, 46], and patients underestimate the extent of bone loss identified by bone mineral density testing [47]. Improved patient understanding of bone quality and need for pharmacotherapy is therefore critical [39, 41, 43]. Second, early treatment follow-up facilitates adherence by addressing adverse drug effects and problems with dosing complexity [40]. In fact, drug switching, between drugs or drug regimens, improves compliance to osteoporosis pharmacotherapy [48, 49].
Potential strategies to improve adherence to osteoporosis pharmacotherapy include improving patient-provider relationships and increased treatment monitoring through regular follow-up, clinical testing, and reminder systems [50, 51]. Providing patients with educational material alone does not improve treatment adherence [50, 52]. Instead, multifaceted and individualized approaches with regular follow-up are needed [44, 51]. An intensive intervention involving patient education and ten scheduled motivational interviews over a 12-month period has shown promising outcomes with positive impact on treatment adherence [53].
Integrate
An FLS can be based in hospital or in the community. Regardless, in order to be effective, the FLS will be integrated with other services and the wider fracture prevention care pathway. This enables an FLS to maximize case-finding, refer to appropriate services to meet a patient’s needs, and ensure transfer of care to facilitate long-term management of osteoporosis. Osteoporosis drug treatments need to be taken correctly for long periods in order to gain maximum benefit. Ensuring good communication among health professionals delivering fracture preventative care enables long-term support for patients to maximize treatment adherence and benefits.
Management Plan
Long-term treatment of osteoporosis will be managed by the GP. Clear management plans from the FLS will outline the recommendations for treatment and review timescales. The FLS report will support transfer of care and long-term management of osteoporosis by the patient’s primary care team. A report template will be created with input from GPs and patients, and feedback should be invited to ensure the report meets their needs. Inclusion of the following information is recommended:
-
Patient demographics and unique identifier.
-
Details of fragility fracture(s).
-
Current osteoporosis treatment.
-
Results of assessments including fracture risk assessment, BMD results, and laboratory tests.
-
Management recommendations including treatment changes, recommended review dates, and circumstances for re-referral.
-
Appropriate primary care codes including the fracture site and type of fracture (e.g., osteoporotic).
FLS should carry out initial follow-up contact by 16 weeks and at 52 weeks, to follow up regarding the individual patient’s management. Later further annual reviews should be completed outside of the FLS. In day-to-day practice, this can be set up subject to the local capability and capacity. Examples include via a GP or another member of the primary care team or a community pharmacist.
A reassessment of fracture risk should be carried out by the GP at 3 years (for intravenous zoledronic acid) or 5 years (for oral bisphosphonate) to determine whether it is appropriate to continue drug treatment or take a “drug holiday.” Denosumab treatment should only be discontinued after advice from a specialist in bone metabolism [ROS report].
Quality
Leadership, governance, professional accountability, and staff development are essential to providing an efficient, coordinated, and consistent service that meets the needs and expectations of its patients. In order to deliver high-quality care, staff will demonstrate the necessary professional competencies and will participate in CPD to maintain their knowledge.
Service improvement involves individual staff, work teams, and organizations looking at how making changes to the way they work can help improve patient care by making services better. Auditing and peer support help to share experience and learn from each other challenges.
Clear lines of responsibility ensure that complex healthcare systems work most effectively for the benefit of patients. Within the FLS, there are some criteria that help to keep the service provided to the optimum. These include:
-
A designated lead clinician accountable for all components of the service.
-
The FLS is developed in line with a local fracture prevention strategy.
-
Core clinical data from people identified by the FLS is recorded on an operational database. – A quality assurance framework is in place which includes:
-
(a)
An ongoing program of service/quality improvement including regular audit.
-
(b)
Participation in national audits.
-
(c)
Peer review.
-
(d)
Patient and carer experience measures.
-
(a)
-
Staff are active participants in a regional clinical or professional network.
FLS Outcomes
Future Fracture Risk Reduction
The golden outcome of FLS is to reduce the risk of developing a subsequent fracture. Most of the studies carried out to assess for the outcomes of FLSs were studies evaluating FLS models. These research works proactively identified at-risk patients and initiated bone health assessments on them according to specific FLS protocols. Comparing the results of these studies to either primary care follow-up or a comparable hospital without an FLS program revealed a significant reduction in subsequent fractures over 2–4 years following the index fracture in the FLS group [16, 54,55,56,57,58,59,60,61,62,63,64,65].
In one of the studies carried out at the Concord facility in Sydney, Australia, patients who were followed up in the primary care by their GP had a markedly increased risk of subsequent fracture (hazard ratio [HR] 5.63, 95% confidence interval [95% CI] 2.73–11.6, P 0.01) after adjustments for other predictive factors, i.e., age and weight, compared to those assessed by their Type A FLS over 2–4 years follow-up [59]. In another study based in Newcastle, Australia, patients who were managed by their Type A FLS had a lower rate of re-fracture, 5.1%, compared to those not included in their assessment group, 16.4% (P < 0.001) after 2 years [60]. This same service was then compared with a comparable cohort from another hospital that does not have an FLS. It demonstrated that over 3 years there was a 30–40% reduction in re-fracture rate among FLS patients (all fractures: HR 0.67, 95% CI 0.47–0.95, P = 0.025; major fractures – hip, spine, femur, pelvis, humerus: HR 0.59, 95% CI 0.39–0.90, P = 0.013) [65]. Similarly, in the Netherlands, when a hospital with an FLS program was compared against one without, the FLS center had a reduced re-fracture rate, in a time-dependent fashion: after 1 year of follow-up, there was a non-significant 16% reduction (HR 0.84, 95% CI 0.64–1.10), but after 2 years of follow-up, there was a significant 56% reduction (HR 0.44, 95% CI 0.25–0.79) [66].
The Kaiser Permanente Southern California Healthy Bones Program, adopting a Type A service, the FLS reported itself to be very successful and has been highly commended by the International Osteoporosis Foundation (IOF) Capture the Fracture initiative [67]. They have published their outcomes from their collection of 11 medical centers, with an average reduction in re-fracture rate of 37.2% (range 23.1–60.7%) over the first 4 years [63, 64]. Subsequent analysis revealed a 38.1% reduction in expected hip fractures [54]. A cohort study conducted in Sweden analyzing patients in the year before and after the implementation of a Type B FLS program demonstrated a reduction in re-fracture rate of 42% in the FLS group (HR 0.58, 95% CI 0.40–0.87) after 6 years [67].
Less intense models focusing on improving patient and physician knowledge of bone health have not demonstrated any improvement on re-fracture rates. A randomized trial that allocated at-risk patients to four different arms, physician education, patient education, patient and physician education, and standard care, demonstrated no significant difference in re-fracture rates [68].
Vertebral Fragility Fractures
Big percentage of the FLS studies focus on the patients who sustained hip fractures, as these are generally associated with the greatest morbidity and mortality, and appendicular fractures, as these fractures seek medical attention allowing a good capture rate. In contrast, in standard practice, there is another important cohort of osteoporotic fragility fractures who are usually missed. These are those who develop vertebral fractures. Most vertebral fractures are asymptomatic, and only one-third present to medical attention. Symptomatic and asymptomatic vertebral fractures are associated with significant frailty, morbidity, and mortality [70,71,72,73]. In hospital, rate of vertebral fractures detection is poor and, even when detected, generally does not lead to initiation of any bone health assessment or treatment [74]. A key area for improvement is how the secondary prevention care is delivered. The FLS program pays full attention as it has been specifically developed to identify such silent vertebral fragility fractures as well as those admitted to hospital. Earlier study revealed a threefold increase in the referral rate for BMD assessment for patients with silent vertebral fractures [75].
Mortality
Few studies have been published discussing mortality as an outcome associated with FLS programs. In the study carried out by Huntjens and colleagues, adopting a Type A FLS, the patients were followed up for 2-years duration. Outcomes revealed a 35% reduction in mortality following a fragility fracture compared with a comparable cohort not assessed by FLS (HR 0.65, 95% CI 0.53–0.79) [66]. In another large cohort study carried out in the UK by Hawley et al., using hospital admission data from 11 hospitals also reported a reduction in 30-day mortality by 20% (HR 0.80, 95% CI 0.71–0.91) and 1-year mortality by 16% (HR 0.84, 95% CI 0.77–0.93) in patients admitted to hospital after a hip fracture [76]. This data set included hospitals with a newly implemented orthogeriatric service and an FLS program.
Bone Health and Bone Mineral Density Assessment
There is overwhelming evidence that FLS is associated with an increased number of patients referred for DXA scanning. Compared to either usual care or a specified period pre-FLS, there was almost a 2- to 18-fold increase in DXA referrals. Comparison of the different FLS models revealed that a more involved FLS program, such as a Type A model, was more likely to lead to higher referral rates compared to a less intensive model (Table 14.3).
A Scottish study compared two hospitals, one with a Type A FLS and one with usual care, and found that rates of offering DXA scans were significantly higher at the FLS center (85% vs 6% for humeral fractures, 20% vs 9.7% for hip fractures) [77]. Another study based in Edmonton, Canada, which randomly assigned patients with hip fracture to either an FLS or usual care, also reported a significant increase in BMD testing in the FLS group (80% vs 29%, adjusted odds ratio [OR] 11.6, 95% CI 5.8–23.5, P 0.01) [78]. The same department subsequently evaluated this same model in patients with wrist fractures, and it also showed increased BMD testing in the FLS group (52% vs 18%, relative risk [RR] 2.8, 95% CI 1.9–4.2, P < 0.01) [79]. Even in studies where the comparison was made with a period pre-FLS, a significant increase in DXA referral was noted. An Italian study reported that their Type A inpatient FLS model of patients over 65 years with a proximal femoral fracture increased BMD testing by over threefold, from 14.5% to 47.6% (P < 0.01) [80]. A similar finding was reported in another study based in America where the initiation of an FLS during hip fracture rehabilitation increased BMD testing from 35% to 65% [57]. The Kaiser Permanente FLS have published multiple reports addressing the issue of osteoporosis investigation since their establishment in 2002. They reported a 247% increase in total annual DXA scans over the first 4 years [63] and a 263% increase over the first 6 years [54]. In concordance, visual data showed further increase in annual DXA scans in their seventh and eighth years [64].
On the other hand, findings from less intensive services have not been as robust. An education-based Type C service reported that patients followed up 3 months after their index fracture via a phone call were more likely to have been recommended a DXA scan (OR 5.22, P < 0.01) compared to a control group that received no contact [81]. Yet, it was not reported how many of these recommendations translated into referrals. Another study employing an educational program (Types C and D) reported no significant difference in BMD assessment between the different groups, suggesting that the less intensive services may be less effective [68]. Hence, being able to initiate bone health assessment as part of an FLS program appears crucial in ensuring that a BMD assessment is done. This was demonstrated when a Type D service (education in the form of a letter) was compared with the same service with an additional offer for a free BMD assessment. The group offered the BMD assessment showed a significantly higher rate of investigation for osteoporosis (38% vs 7%, P < 0.01) [82]. The same department later compared an outpatient Type B service with the aforementioned Type D service, showing more BMD testing with the more involved Type B intervention (83% vs 26%) [58]. Again, this reaffirms that a more intensive model is more efficient in initiating bone health assessment.
Referring a patient for BMD assessment with DXA is not a thorough assessment of fracture risk. Besides BMD measurement, a comprehensive bone health assessment includes assessment of other risks for future fractures. A two-center comparison study (Type B vs standard service), comparing the practices in postmenopausal women with hip fractures, found much improved investigative work in terms of documentation of osteoporosis risk factors at the FLS center (83% vs 7%) [83]. A Type A FLS from Sydney, Australia, reported that a total of 84% of patients identified by their service had a comprehensive assessment that also included a DXA scan [84].
Overall, referrals for DXA from an FLS program range from 67.4% to 73.4% in Scotland [13] and 83.0% to 99.6% in the Netherlands [85]. Using an automated referral system has been reported to increase referral to 100% [86]. However, as many as 45% of those referred would either decline or not attend [13, 87].
Osteoporosis Treatment Initiation and Adherence
As an outcome of BMD assessment and considering the other risk factors, once the diagnosis of osteoporosis or high fracture risk probability is made, this would mandate starting osteoporosis therapy. This is supported by the results of earlier studies in which osteoporosis treatment was shown to be effective in reducing subsequent fracture risk. Oral bisphosphonates are the most prescribed pharmacological agent. However, adherence to oral bisphosphonate has been reported to be poor with only a third continues taking the medication at 1 year [88]. Therefore, osteoporosis treatment outcomes can be splitted into the rate of initiation of therapy and the level of adherence to therapy treatment at later point of time.
There is overwhelming evidence that FLS increases initiation of osteoporosis treatment. The Type A services reported treatment initiation by an RR 1.50–4 [89], with data gathered up to 2 years after joining an FLS program [55, 60, 77, 78, 80, 90]. The Edmonton series described treatment as an outcome measure in their trials. Results of the study revealed that comparing the FLS cohort outcome to the standard service revealed higher number of bisphosphonates prescription in the FLS group at 6 months after hip fracture (51% vs 22%, adjusted OR 4.7, 95% CI 2.4–8.9, P < 0.01) and wrist fracture (22% vs 7%, adjusted RR 2.6, 95% CI 1.3–5.1, P = 0.008) [78, 79]. They also described more patients receiving “appropriate care,” i.e., their overall treatment was concordant with guidelines, in the FLS group [78, 79]. The comparative study of the Fracture Prevention Clinic in Newcastle, Australia (Type A FLS vs standard service), also demonstrated increased treatment rates in the FLS group after an average of 2 years of follow-up (81.3% vs 54.1%, P < 0.01) [60].
Even when recommendations for osteoporosis therapy were made by the FLS but initiated in the primary care by the GP, there was an increase in treatment rate after fracture from 12.6% to 31.8%, after 1 year of follow-up in the study carried out by Axelsson and co-authors [91]. Another study that looked at a cohort of older women with hip fractures showed that more patients for who the FLS had recommended osteoporosis treatment were prescribed treatment compared to standard care (90.5% vs 60.9%, P 0.01) [83]. However, when no treatment recommendations were made (Type C or D model – educational programs), it made no difference to treatment initiation rates [68].
Analysis of the adherence to osteoporosis treatment revealed that there was wide variation, particularly for bisphosphonates, both in reported adherence and also when adherence was measured. Overall, adherence at 1 year has been reported to range from 44% to 80% [80, 91,92,93]. The Geisinger Medical Center High-Risk Osteoporosis Clinic (HiROC), Pennsylvania, USA, which includes monitoring osteoporosis patients at 3 months (via phone) and a follow-up visit at 1 year, reported that adherence to oral bisphosphonates was 80.7% at 3 months and 67.7% at 12 months. In another study, although adherence at 1 year improved since the start of a dedicated hip fracture FLS program compared to a pre-FLS period (44.07% vs 14.04%, P < 0.01), it demonstrated a significantly low proportion of patients on treatment [80]. A Spanish study which included patient education and telephone follow-up at 3, 6, 12, and 24 months recorded adherence rates to treatment of 72% at 1 year and 73% at 2 years, with significantly better adherence among women and those who had previously been treated with a similar drug [92]. Among patients initiated treatment in a French hospital, adherence was recorded as 80% after 1 year and 67.7% at final follow-up (mean 27.4 [11.7] months) [93].
Cost-Effectiveness of an FLS
In addition to clinical effectiveness, commissioning of an FLS needs to also weigh up the cost-effectiveness of such an intervention. A number of FLSs have conducted formal cost analysis of their existing FLSs, most of them using decision analysis models. Analyses conducted alongside a randomized trial of an FLS for hip fracture and wrist fracture patients with usual care reported that for every 100 patients managed, they would prevent 6 fractures (4 hips) and 3 fractures (1 hip), respectively [8]. This would result in a saving of over US$250,000 to the healthcare system and up to 4 quality-adjusted life years (QALY) gained [94, 95]. Analysis from another Canadian center, the Osteoporosis Exemplary Care Program in Toronto, showed that assessing 500 patients per year would prevent three hip fractures, saving CA$48,950 per year [96]. They also calculated that the employment of an FLS coordinator would still be a cost-effective measure even if they managed as few as 350 patients per year [97]. In the USA, a model based on a Type A FLS in Boston calculated that for every 10,000 patients managed, 153 fractures (109 hip) would be prevented, which equated to an overall saving of US$66,879, and there would be an increase in quality-adjusted life expectancy (QALE) of 37.4 years [98]. The Glasgow, UK, FLS developed a cost-effectiveness and budget-impact model, based on their internal data. They calculated that for 1000 patients managed in their FLS program, which identifies, investigates, and initiates treatment costing £290,000, they prevented 18 fractures (11 hips), leading to an overall saving of £21,000 [99].
In a separate study also based in Ontario, Canada, cost-effectiveness was compared between a less intense Type C model and a Type A model. For the Ontario Fracture Clinic Screening Program (Type C FLS), 4.3 quality-adjusted life years (QALYs) were gained, and an extra CA$83,000 was spent per 1000 patients, equating to a cost of CA$19,132 per QALY gained. Their subsequent enhanced FLS called the Bone Mineral Density Fast Track program (Type A FLS) was reported to be even more cost-effective at CA$5720 per QALY gained [100]. Hence, this almost fourfold difference in cost-effectiveness suggests that a more intense model may deliver better outcomes.
These studies demonstrate that FLSs are not only cost-effective but also cost-saving. Investment in FLS will reduce future fractures, which ultimately translates into lower overall healthcare cost. However, the cost-effectiveness of each FLS very much depends on the structure of each individual FLS in the context of the healthcare model of that respective geographical region.
Best Practice Framework for Fracture Liaison Services
The IOF released a landmark document entitled Capture the Fracture in 20,127 and went on to publish their Best Practice Framework (BPF) (https://www.capturethefracture.org/), in order to provide guidance for institutions in the process of implementing an FLS and to allow evaluation of services using pre-determined outcome measures. It included 13 key domains—patient identification, patient evaluation, post-fracture assessment timing, identifying vertebral fragility fractures, adherence to local/regional/national guidelines, evaluating secondary cause of osteoporosis, access to falls prevention services, lifestyle risk assessment, initiation of treatment, review of treatment, communication between primary and secondary care, plan for long-term management (>12 months), and all fragility fractures being recorded on a database [101].
Similarly, the UK Royal Osteoporosis Society (ROS) have also published their FLS clinical standards (https://theros.org.uk/healthcare-professionals/tools-and-resources/clinical-guidance/documents/clinical-standards-for-fracture-liaison-services/) based on a 5IQ process of identifying those at risk, investigating bone health and falls risk, informing patients about their condition and management plan, intervening with bone protection and falls intervention, integrating patient care between primary and secondary care, and maintaining quality of the service via database collection, audit, and professional development.
Recently, the International Osteoporosis Foundation launched a new FLS program “Getting to Gold.” This new initiative provides effective long-term support for FLS that were established with the help of the Capture the Fracture mentorship program (FLS workshops and onsite trainings). Getting to Gold helps to ensure that a developed FLS can improve and sustain itself in the long run. While the standard FLS workshops and onsite trainings focus more on the early stages of development and building business cases, Getting to Gold focuses on making sure FLS grow in number and quality and are sustainable locally. The first step of the program is the development of a team of key national FLS mentors. The local mentors will be trained through a series of online and in-person sessions. Once evaluated and certified by the IOF, they will support local service development as well as help local FLSs become efficient, sustainable, and able to offer a good patient experience.
In conclusion, the fracture liaison service model appears to address many of the historic shortcomings in traditional management of fragility fractures. It has proven to improve diagnosis and long-term treatment and to decrease morbidity in these patients. It also takes away ambiguity regarding which specialty manages the disease and allows for efficient communication between multiple specialties and reduces the chance a patient may get lost while navigating the current healthcare system. As the population continues to age, managing and preventing life-altering fractures will become an increasingly important issue. Given that the sentinel sign of osteoporosis is fracture, and the increasing interest in several organization bodies as well as the documented cost-effectiveness of the project, the role played by FLS is expected to grow over time in a trial to comply with the initiative of “Capture the Fracture” launched by the International Osteoporosis Foundation.
References
Raisz LG. Pathogenesis of osteoporosis: concepts, conflicts, and prospects. J Clin Invest. 2005;13(2):1089–94.
Curtis JR, Cai Q, Wade SW, Stolshek BS, Adams JL, Balasubramanian A, Viswanathan HN, Kallich JD. Osteoporosis medication adherence: physician perceptions vs. patients' utilization. Bone. 2013;55(1):1–6.
Wright NC, Looker AC, Saag KG, Curtis JR, Delzell ES, Randall S, Dawson-Hughes B. The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine. J Bone Miner Res. 2014;29(11):2520–6.
Bliuc D, Alarkawi D, Nguyen TV, Eisman JA, Center JR. Risk of subsequent fractures and mortality in elderly women and men with fragility fractures with and without osteoporotic bone density: the Dubbo Osteoporosis Epidemiology Study. J Bone Miner Res. 2015;30(4):637–46.
Kanis JA, Johnell O, De Laet C, Johansson H, Oden A, Delmas P, Eisman J, Fujiwara S, Garnero P, Kroger H, McCloskey EV, Mellstrom D, Melton LJ, Pols H, Reeve J, Silman A, Tenenhouse A. A meta-analysis of previous fracture and subsequent fracture risk. Bone. 2004;35(2):375–82.
Akesson K, Marsh D, Mitchell PJ, McLellan AR, Stenmark J, Pierroz DD, Kyer C, Cooper C, I.O.F.F.W. Group. Capture the fracture: a best practice framework and global campaign to break the fragility fracture cycle. Osteoporos Int. 2013;24(8):2135–52.
Miller AN, Lake AF, Emory CL. Establishing a fracture liaison service: an orthopaedic approach. J Bone Joint Surg Am. 2015;97(8):675–81.
Walters S, Khan T, Ong T, Sahota O. Fracture liaison services: improving outcomes for patients with osteoporosis. Clin Interv Aging. 2017;12:117–27.
Eisman JA, Bogoch ER, Dell R, Harrington JT, McKinney RE Jr, McLellan A, Mitchell PJ, Silverman S, Singleton R, Siris E. For the ASBMR task force on secondary fracture prevention, making the first fracture the last fracture: ASBMR task force report on secondary fracture prevention. J Bone Miner Res. 2012;27(10):2039–46.
Lems WF, Dreinhöfer KE, Bischoff-Ferrari H, Blauth M, Czerwinski E, da Silva JAP, Herrera A, Hoffmeyer P, Kvien T, Maalouf G, Marsh D, Puget J, Puhl W, Poor G, Rasch L, Roux C, Schüler S, Seriolo B, Tarantino U, van Geel T, Woolf A, Wyers C, Geusens P. EULAR/EFFORT recommendations for management of patients older than 50 years with a fragility fracture and prevention of subsequent fractures. Ann Rheum Dis. 2017;76:802–10.
Ganda K, Puech M, Chen JS, Speerin R, Bleasel J, Center JR, Eisman JA, March L, Seibel MJ. Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis. Osteoporos Int. 2013;24(2):393–406 [12] StatsDirect Ltd. StatsDirect statistical software. http://www.statsdirect.com. England:StatsDirectLtd.2013.
Wu C-H, Tu S-T, Chang Y-F, Chan D-C, Chien J-T, Lin C-H, Singh S, Dasari M, Chen J-F, Tsai K-S. Fracture liaison services improve outcomes of patients with osteoporosis-related fractures: a systematic literature review and meta-analysis. Bone. 2018;111:92–100.
Mclellan AR, Gallacher SJ, Fraser M, Mcquillian C. The fracture liaison service: success of a program for the evaluation and management of patients with osteoporotic fracture. Osteoporos Int. 2003;14(12):1028–34.
Kanis JA, Svedbom A, Harvey N, Mccloskey EV. The osteoporosis treatment gap. J Bone Miner Res. 2014;29(9):1926–8.
Marsh D, Akesson K, Beaton DE, et al; IOF CSA Fracture Working Group. Coordinator-based systems for secondary prevention in fragility fracture patients. Osteoporos Int 2011;22(7):2051–2065.
Ganda K, Puech M, Chen JS, et al. Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis. Osteoporos Int. 2013;24(2):393–406.
Hung W-C, Yang C-H, Cheng W-L, Wu C-H. Revisit three “I” model: a novel five “I” model of fracture liaison service. Osteoporos Int. 2019;30:2361–2.
Robinson CM. Refractures in patients at least forty-five years old. J Bone Jt Surg. 2002;84(9):1528–33.
Melton LJ, Atkinson EJ, Cooper C, O’Fallon WM, Riggs BL. Vertebral fractures predict subsequent fractures. Osteoporos Int. 1999;10(3):214–21. http://www.ncbi.nlm.nih.gov/pubmed/10525713. Accessed 22 Jan 2019.
International Society for Clinical Densitometry. 2015 ISCD Official Positions – Adult – International Society for Clinical Densitometry (ISCD). https://www.iscd.org/official-positions/2015-iscd-official-positions-adult/. Published 2015. Accessed 19, 6 Dec 2019.
Gallacher SJ, Gallagher AP, McQuillian C, Mitchell PJ, Dixon T. The prevalence of vertebral fracture amongst patients presenting with non-vertebral fractures. Osteoporos Int. 2007;18(2):185–92. https://doi.org/10.1007/s00198-006-0211-1.
Pothuaud L, Carceller P, Hans D. Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone. 2008;42(4):775–87.
Hans D, Barthe N, Boutroy S, Pothuaud L, Winzenrieth R, Krieg M-A. Correlations between trabecular bone score, measured using anteroposterior dual-energy X-Ray absorptiometry acquisition, and 3-dimensional parameters of bone microarchitecture: an experimental study on human cadaver vertebrae. J Clin Densitom. 2011;14(3):302–12.
Piveteau T, Winzenrieth R, Hans D. Assessment of correlations between 3D μCT microarchitecture parameters and TBS: effects of resolution and correlation with TBS DXA measurements. J Clin Densitom. 2011;14(2):169.
Hans D, Goertzen AL, Krieg M-A, Leslie WD. Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study. J Bone Miner Res. 2011;26(11):2762–9.
El Miedany Y, El Gaafary M, Toth M, Palmer D, Ahmed I. Falls risk assessment score (FRAS): time to rethink. J Clin Gerontol Geriatr. 2011;2(1):21–6.
Moylan KC, Binder EF. Falls in older adults: risk assessment, management and prevention. Am J Med. 2007;120(6):493–7.
Cattelani L, Palumbo P, Palmerini L, Bandinelli S, Becker C, Chesani F, et al. FRAT-up, a web-based fall-risk assessment tool for elderly people living in the community. J Med Internet Res. 2015;17(2):e41.
Camargos FFO, Dias RC, Dias JMD, Freire MTF. Adaptação transcultural e avaliação das propriedades psicométricas da Falls Efficacy Scale – International emidosos brasileiros (FES-I-BRASIL). Rev Bras Fisioter. 2010;14(3):237–43.
Goble DJ, Cone BL, Fling BW. Using the Wii Fit as a tool for balance assessment and neurorehabilitation: the first half decade of “wii-search”. J Neuroeng Rehabil. 2014;11(1):12. https://doi.org/10.1186/1743-0003-11-12.
National Osteoporosis Guideline Group (NOGG). NOGG 2017: Clinical Guideline for the 49 Prevention and Treatment of Osteoporosis. 2017. https://doi.org/10.1007/s11657-017-0324-5.
National Osteoporosis Society. Clinical Guidance for the Effective Identification of Vertebral Fractures. Bath; 2017. https://nos.org.uk/media/99101/vertebral-fractures-guidelines.pdf.
National Institute of Health and Care Excellence. Raloxifene for the Primary Prevention of Osteoporotic Fragility Fractures in Postmenopausal Women (TA 160). London; 2018. https://www.nice.org.uk/guidance/ta160/resources/raloxifene-for-the-primary-prevention-of-osteoporotic-fragility-fractures-in-postmenopausal-women-pdf-82598368491205. Accessed 22 Jan 2019.
Gillespie L, Robertson M, Gillespie W, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012;9(9):CD007146. https://doi.org/10.1002/14651858.CD007146.pub3.Copyright.
Kanis JA, Mccloskey EV, Johansson H, Cooper C, Rizzoli R, Reginster J-Y. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int. 2013;24:23–57. https://doi.org/10.1007/s00198-012-2074-y.
Zijlstra GAR, Van Haastregt JCM, Van Rossum E, Van Eijk JTM, Yardley L, Kempen GIJM. Interventions to reduce fear of falling in community-living older people: a systematic review. J Am Geriatr Soc. 2007;55(4):603–15. https://doi.org/10.1111/j.1532-5415.2007.01148.x.
The National Osteoporosis Society. Strong, Steady and Straight 2018:36. Royal Osteoporosis Society, England. https://theros.org.uk/media/0o5h1l53/ros-strong-steady-straight-quick-guide-february-2019.pdf.
Siris ES, Harris ST, Rosen CJ, et al. Adherence to bisphosphonate therapy and fracture rates in osteoporotic women: relationship to vertebral and nonvertebral fractures from 2 US Claims Databases. Mayo Clin Proc. 2006;81(8):1013–22.
Schousboe JT, Dowd BE, Davison ML, Kane RL. Association of medication attitudes with non-persistence and non-compliance with medication to prevent fractures. Osteoporos Int. 2010;21:1899.
Lau E, Papaioannou A, Dolovich L, et al. Patients’ adherence to osteoporosis therapy: exploring the perceptions of postmenopausal women. Can Fam Physician. 2008;54:394–402.
Kamatari M, Koto S, Ozawa N, et al. Factors affecting long-term compliance of osteoporotic patients with bisphosphonate treatment and QOL assessment in actual practice: alendronate and risedronate. J Bone Miner Metab. 2007;25:302–9.
McHorney CA, Schousboe JT, Cline RR, Weiss TW. The impact of osteoporosis medication beliefs and side-effect experiences on non-adherence to oral bisphosphonates. Curr Med Res Opin. 2007;23:3137–52.
Cadarette SM, Gignac MA, Jaglal SB, et al. Measuring patient perceptions about osteoporosis pharmacotherapy. BMC Res Notes. 2009;2:133.
Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care. 2009;47:826–34.
Giangregorio L, Dolovich L, Cranney A, et al. Osteoporosis risk perceptions among patients who have sustained a fragility fracture. Patient Educ Couns. 2009;74:213–20.
Sale JE, Beaton DE, Sujic R, Bogoch ER. ‘If it was osteoporosis, I would have really hurt myself.’ Ambiguity about osteoporosis and osteoporosis care despite a screening programme to educate fragility fracture patients. J Eval Clin Pract. 2010;16:590.
Cadarette SM, Beaton DE, Gignac MAM, et al. Minimal error in self-report of having had DXA, but self-report of its results was poor. J Clin Epidemiol. 2007;60:1306–11.
Kertes J, Dushenat M, Vesterman JL, et al. Factors contributing to compliance with osteoporosis medication. Isr Med Assoc J. 2008;10:207–13.
Ideguchi H, Ohno S, Takase K, et al. Outcomes after switching from one bisphosphonate to another in 146 patients at a single university hospital. Osteoporos Int. 2008;19:1777–83.
Gleeson T, Iversen MD, Avorn J, et al. Interventions to improve adherence and persistence with osteoporosis medications: a systematic literature review. Osteoporos Int. 2009;20:2127–34.
Schlenk EA, Bernardo LM, Organist LA, et al. Optimizing medication adherence in older patients: a systematic review. J Clin Outcomes Manag. 2008;15:595–606.
Shu AD, Stedman MR, Polinski JM, et al. Adherence to osteoporosis medications after patient and physician brief education: post hoc analysis of a randomized controlled trial. Am J Manag Care. 2009;15:417–24.
Solomon DH, Gleeson T, Iversen M, et al. A blinded randomized controlled trial of motivational interviewing to improve adherence with osteoporosis medications: design of the OPTIMA trial. Osteoporos Int. 2010;21:137–44.
Greene D, Dell RM. Outcomes of an osteoporosis disease-management program managed by nurse practitioners. J Am Acad Nurse Pract. 2010;22(6):326–9.
Newman ED. Perspectives on pre-fracture intervention strategies: the Geisinger Health System Osteoporosis Program. Osteoporos Int. 2011;22(suppl 3):451–5.
Oates MK. Invited commentary: fracture follow-up program in an open healthcare system. Curr Osteoporos Rep. 2013;11(4):369–76.
Cosman F, Nicpon K, Nieves JW. Results of a fracture liaison service on hip fracture patients in an open healthcare system. Aging Clin Exp Res. 2017;29:331. Epub 2016 Feb 22
Kuo I, Ong C, Simmons L, Bliuc D, Eisman J, Center J. Successful direct intervention for osteoporosis in patients with minimal trauma fractures. Osteoporos Int. 2007;18(12):1633–9.
Lih A, Nandapalan H, Kim M, et al. Targeted intervention reduces refracture rates in patients with incident non-vertebral osteoporotic fractures: a 4-year prospective controlled study. Osteoporos Int. 2011;22(3):849–58.
Van der Kallen J, Giles M, Cooper K, et al. A fracture prevention service reduces further fractures two years after incident minimal trauma fracture. Int J Rheum Dis. 2014;17(2):195–203.
Senay A, Delisle J, Giroux M, et al. The impact of a standardized order set for the management of non-hip fragility fractures in a Fracture Liaison Service. Osteoporos Int. 2014;27(12):3439–47.
Melton LJ, Thamer M, Ray NF, et al. Fractures attributable to osteoporosis: report from the National Osteoporosis Foundation. J Bone Miner Res. 1997;12(1):16–23.
Dell R, Greene D, Scheikun SR, Williams K. Osteoporosis disease management: the role of the orthopaedic surgeon. J Bone Joint Surg Am. 2008;90(suppl 4):188–94.
Dell R. Fracture prevention in Kaiser Permanente Southern California. Osteoporos Int. 2011;22(suppl 3):457–60.
Nakayama A, Major F, Holliday E, Attia J, Bogduk N. Evidence of effectiveness of a fracture liaison service to reduce the re-fracture rate. Osteoporos Int. 2016;27(3):873–9.
Huntjens KM, van Geel TA, van den Bergh JP, et al. Fracture liaison service: impact on subsequent nonvertebral fracture incidence and mortality. J Bone Joint Surg Am. 2014;96(4):e29.
International Osteoporosis Foundation [webpage on the Internet]. Capture the Fracture; 2012. Available from: http://www.capturethefracture.org/programme-overview. Accessed 22 Dec 2019.
Astrand J, Nilsson J, Thorngren KG. Screening for osteoporosis reduced new fracture incidence by almost half: a 6-year follow-up of 592 fracture patients from an osteoporosis screening program. Acta Orthop. 2012;83(6):661–5.
Solomon DH, Katz JN, Finkelstein JS, et al. Osteoporosis improvement: a large-scale randomized controlled trial of patient and primary care physician education. J Bone Miner Res. 2007;22(11):1808–15.
Walters S, Chan S, Goh L, Ong T, Sahota O. The prevalence of frailty in patients admitted to hospital with vertebral fragility fractures. Curr Rheumatol Rev. 2016;12:224. Epub 2016 Jun 19.
Aw D, Sahota O. Orthogeriatrics moving forward. Age Ageing. 2014;43(3):301–5.
Ensrud KE, Thompson DE, Cauley JA, et al. Prevalent vertebral deformities predict mortality and hospitalization in older women with low bone mass. Fracture Intervention Trial Research Group. J Am Geriatr Soc. 2000;48(3):241–9.
Pietri M, Lucarini S. The orthopaedic treatment of fragility fractures. Clin Cases Miner Bone Metab. 2007;4(2):108–16.
Gehlbach SH, Bigelow C, Heimisdottir M, May S, Walker M, Kirkwood JR. Recognition of vertebral fracture in a clinical setting. Osteoporos Int. 2000;11(7):577–82.
Haseeb A, Ong T, Sahota O, Marsh N, Quraishi N. Service evaluation of the impact of a specialist spinal osteoporosis nurse in initiating bone health assessment in patients admitted to hospital with osteoporotic vertebral fractures (VF). Spine J. 2016;16(4):Supplement S87.
Hawley S, Javaid MK, Prieto-Alhambra D, et al; REFReSH Study Group. Clinical effectiveness of orthogeriatric and fracture liaison service models of care for hip fracture patients: population-based longitudinal study. Age Ageing 2016;45(2):236–242.
Murray AW, McQuillan C, Kennon B, Gallacher SJ. Osteoporosis risk assessment and treatment intervention after hip or shoulder fracture. A comparison of two centres in the United Kingdom. Injury. 2005;36(9):1080–4.
Majumdar SR, Beaupre LA, Harley CH, et al. Use of a case manager to improve osteoporosis treatment after hip fracture: results of a randomized controlled trial. Arch Intern Med. 2007;167(19):2110–5.
Majumdar SR, Johnson JA, McAlister FA, et al. Multifaceted intervention to improve diagnosis and treatment of osteoporosis in patients with recent wrist fracture: a randomized controlled trial. CMAJ. 2008;178(5):569–75.
Ruggiero C, Zampi E, Rinonapoli G, et al. Fracture prevention service to bridge the osteoporosis care gap. Clin Interv Aging. 2015;10:1035–42.
Hawker G, Ridout R, Ricupero M, Jaglal S, Bogoch E. The impact of a simple fracture clinic intervention in improving the diagnosis and treatment of osteoporosis in fragility fracture patients. Osteoporos Int. 2003;14(2):171–8.
Bliuc D, Eisman JA, Center JR. A randomized study of two different information-based interventions on the management of osteoporosis in minimal and moderate trauma fractures. Osteoporos Int. 2006;17(9):1309–17.
Wallace I, Callachand F, Elliott J, Gardiner P. An evaluation of an enhanced fracture liaison service as the optimal model for secondary prevention of osteoporosis. JRSM Short Rep. 2011;2(2):8.
Vaile JH, Sullivan L, Connor D, Bleasel JF. A year of fractures: a snapshot analysis of the logistics, problems and outcomes of a hospital-based fracture liaison service. Osteoporos Int. 2013;24(10):2619–25.
Huntjens KM, van Geel TA, Blonk MC, et al. Implementation of osteoporosis guidelines: a survey of five large fracture liaison services in the Netherlands. Osteoporos Int. 2011;22(7):2129–35.
Harrington JT, Barash HL, Day S, Lease J. Redesigning the care of fragility fracture patients to improve osteoporosis management: a health care improvement project. Arthritis Rheum. 2005;53(2):198–204.
Ong T, Tan W, Marhall L, Sahota O. The relationship between socioeconomic status and fracture in a fracture clinic setting: data from the Nottingham Fracture Liaison Service. Injury. 2015;46(2):366–70.
Li L, Roddam A, Gitlin M, et al. Persistence with osteoporosis medications among postmenopausal women in the UK General Practice Research Database. Menopause. 2012;19(1):33–40.
van Helden S, Cauberg E, Geusens P, Winkes B, van der Weijden T, Brink P. The fracture and osteoporosis outpatient clinic: an effective strategy for improving implementation of an osteoporosis guideline. J Eval Clin Pract. 2007;13(5):801–5.
Olenginski TP, Maloney-Saxon G, Matzko CK, et al. High-risk osteoporosis clinic (HiROC): improving osteoporosis and postfracture care with an organized, programmatic approach. Osteoporos Int. 2015;26(2):801–10.
Axelsson KF, Jacobsson R, Lund D, Lorentzon M. Effectiveness of a minimal resource fracture liaison service. Osteoporos Int. 2016;27(11):3165–75.
Naranjo A, Ojeda-Bruno S, Bilbao-Cantarero A, Quevedo-Abeledo JC, Diaz-Gonzalez BV, Rodriguez-Lozano C. Two-year adherence to treatment and associated factors in a fracture liaison service in Spain. Osteoporos Int. 2015;26(11):2579–85.
Boudou L, Gerbay B, Chopin F, Ollagnier E, Collet P, Thomas T. Management of osteoporosis in fracture liaison service associated with long-term adherence to treatment. Osteoporos Int. 2011;22(7):2099–106.
Majumdar SR, Lier DA, Beaupre LA, et al. Osteoporosis case manager for patients with hip fractures: results of a cost-effectiveness analysis conducted alongside a randomized trial. Arch Intern Med. 2009;169(1):5–31.
Majumdar SR, Lier DA, Rowe BH, et al. Cost-effectiveness of a multifaceted intervention to improve quality of osteoporosis care after wrist fracture. Osteoporos Int. 2011;22(6):1799–808.
Bogoch E, Elliot-Gibson V, Beaton DE, Jamal SA, Josse RG, Murray TM. Effective initiation of osteoporosis diagnosis and treatment for patients with a fragility fracture in an orthopaedic environment. J Bone Joint Surg Am. 2006;88(1):25–34.
Sander B, Elliot-Gibson V, Beaton DE, Bogoch ER, Maetzel A. A coordinator program in post-fracture osteoporosis management improves outcomes and saves costs. J Bone Joint Surg Am. 2008;90(6):1197–205.
Solomon DH, Johnston SS, Boytsov NN, McMorrow D, Lane JM, Krohn KD. Osteoporosis medication use after hip fracture in U.S. patients between 2002 and 2011. J Bone Miner Res. 2014;29(9):1929–37.
McLellan AR, Wolowacz SE, Zimovetz EA, et al. Fracture liaison services for the evaluation and management of patients with osteoporotic fracture: a cost-effectiveness evaluation based on data collected over 8 years of service provision. Osteoporos Int. 2011;22(7):2083–98.
Yong JH, Masucci L, Hoch JS, Sukic R, Beaton D. Cost-effectiveness of a fracture liaison service – a real-world evaluation after 6 years of service provision. Osteoporos Int. 2016;27(1):231–40.
Akesson K, Mash D, Mitchell PJ, et al; IOF Fracture Working Group. Capture the fracture: a best practice framework and global campaign to break the fragility fracture cycle. Osteoporos Int. 2013;24(8):2135–2152.
Leslie WD, O’Donnell S, Lagace C, et al. Population-based Canadian hip fracture rates with international comparisons. Osteoporos Int. 2010;21(8):1317–22.
Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res. 2007;22(3):465–75.
Public Health Agency of Canada. Tracking heart disease and stroke in Canada. Ottawa: Public Health Agency of Canada; 2009.
Canadian Cancer Society/National Cancer Institute of Canada. Canadian cancer statistics. Toronto: Canadian Cancer Society; 2007.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
El Miedany, Y. (2022). Fracture Liaison Service. In: El Miedany, Y. (eds) New Horizons in Osteoporosis Management. Springer, Cham. https://doi.org/10.1007/978-3-030-87950-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-87950-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87949-5
Online ISBN: 978-3-030-87950-1
eBook Packages: MedicineMedicine (R0)