Electronic search programs are effective in identifying patients with minimal trauma fractures

A systematic review of natural language processing applications in Trauma & Orthopaedics

Aims

Prevalence of artificial intelligence (AI) algorithms within the Trauma & Orthopaedics (T&O) literature has greatly increased over the last ten years. One increasingly explored aspect of AI is the automated interpretation of free-text data often prevalent in electronic medical records (known as natural language processing (NLP)). We set out to review the current evidence for applications of NLP methodology in T&O, including assessment of study design and reporting.

Methods

MEDLINE, Allied and Complementary Medicine (AMED), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) were screened for studies pertaining to NLP in T&O from database inception to 31 December 2023. An additional grey literature search was performed. NLP quality assessment followed the criteria outlined by Farrow et al in 2021 with two independent reviewers (classification as absent, incomplete, or complete). Reporting was performed according to the Synthesis-Without Meta-Analysis (SWiM) guidelines. The review protocol was registered on the Prospective Register of Systematic Reviews (PROSPERO; registration no. CRD42022291714).

Results

The final review included 31 articles (published between 2012 and 2021). The most common subspeciality areas included trauma, arthroplasty, and spine; 13% (4/31) related to online reviews/social media, 42% (13/31) to clinical notes/operation notes, 42% (13/31) to radiology reports, and 3% (1/31) to systematic review. According to the reporting criteria, 16% (5/31) were considered good quality, 74% (23/31) average quality, and 6% (2/31) poor quality. The most commonly absent reporting criteria were evaluation of missing data (26/31), sample size calculation (31/31), and external validation of the study results (29/31 papers). Code and data availability were also poorly documented in most studies.

Conclusion

Application of NLP is becoming increasingly common in T&O; however, published article quality is mixed, with few high-quality studies. There are key consistent deficiencies in published work relating to NLP which ultimately influence the potential for clinical application. Open science is an important part of research transparency that should be encouraged in NLP algorithm development and reporting.

A quality improvement project to increase treatment rates of osteoporosis in general practice

Objective This study tests a model to improve the management of patients with an osteoporotic fracture. Methods Patients with fractures potentially due to osteoporosis were identified from imaging reports using computerised near natural language processing. A coordinator notified the referring GP about the finding and provided follow-up to remind GPs of the need for management. This provided an opportunity to assess action taken by the GP. Results Near natural language processing efficiently detected fractures in patients at risk of osteoporosis. GPs reported that they are managing osteoporosis in over 40% of patients identified. Notification of GPs coincided with a small increase in osteoporosis management. Conclusion Information technology can identify patient populations with clinically important risks such as osteoporosis. Methods to engage GPs to optimally address this risk have yet to be developed.

Integrated model of secondary fracture prevention in primary care (INTERCEPT): protocol for a cluster randomised controlled multicentre trial

BACKGROUND

Osteoporotic fractures signal severely compromised bone strength and are associated with a greatly increased risk of refracture. Despite the availability of effective and safe medications that reduce fracture risk, 70-80% of patients are inadequately investigated or treated for osteoporosis following an initial fracture, constituting a significant 'osteoporosis care gap'. Optimal methods of bridging this gap with primary care at the forefront of secondary fracture prevention remain undetermined. This protocol describes a cluster randomised controlled trial to evaluate the effectiveness of a novel integrated model of secondary fracture prevention and management in primary care.

METHODS

The cluster randomised controlled trial involves multiple branches of a community-based radiology provider (CRP), a hospital-based secondary fracture prevention program (SFPP) and numerous primary care practices in metropolitan Sydney that refer to either the CRP or SFPP. Using natural language processing tools, patients diagnosed with a potential osteoporotic fracture will be identified by automatically screening radiology reports generated at the CRP or SFPP. The primary care practices that these patients attend will be randomised (1:1) to either the intervention or usual care. The intervention consists of (i) electronic and fax alerts informing the practice/primary care physician that their patient has been diagnosed with a potential osteoporotic fracture; (ii) provision of osteoporosis management guidelines and (iii) follow-up surveys at 4 weeks and 6 months. Practices in the usual care (control) group will receive no alerts and provide usual care. The primary outcome is the proportion of patients undergoing a bone density scan and/or filling a prescription for osteo-protective pharmacotherapy within 3 months of the initial diagnostic imaging report. Secondary outcomes are the proportion of patients: (i) undergoing an osteoporosis-related blood test within 3 months of the initial diagnostic imaging report; (ii) initiated on a chronic disease management plan within 3 months of the diagnostic report, and (iii) filling a second prescription for osteo-protective pharmacotherapy within 9 months post initial diagnostic imaging report. Outcomes will be obtained through de-identified linked data from Medical Benefits Schedule and Pharmaceutical Benefits Scheme held by the Australian Institute of Health and Welfare.

DISCUSSION

This is the first randomised trial to integrate case-detection of potential osteoporotic fractures in a hospital and community setting with direct alerts to the patient's primary care provider. This study will determine whether such an intervention is effective in improving investigation and/or treatment rates of osteoporosis in patients with a potential osteoporotic fracture.

TRIAL REGISTRATION

This study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623000658617p.

Expanding access to fracture liaison services in Australia for people with minimal trauma fractures: a system dynamics modelling study

OBJECTIVES

To project how many minimal trauma fractures could be averted in Australia by expanding the number and changing the operational characteristics of fracture liaison services (FLS).

STUDY DESIGN

System dynamics modelling.

SETTING, PARTICIPANTS

People aged 50 years or more who present to hospitals with minimal trauma fractures, Australia, 2020-31.

MAIN OUTCOME MEASURES

Numbers of all minimal trauma fractures and of hip fractures averted by increasing the FLS number (from 29 to 58 or 100), patient screening rate (from 30% to 60%), and capacity for accepting new patients (from 40 to 80 per service per month), and reducing the proportion of eligible patients who do not attend FLS (from 30% to 15%); cost per fracture averted.

RESULTS

Our model projected a total of 2 441 320 minimal trauma fractures (258 680 hip fractures; 2 182 640 non-hip fractures) in people aged 50 years or older during 2020-31, including 1 211 646 second or later fractures. Increasing the FLS number to 100 averted a projected 5405 fractures (0.22%; $39 510 per fracture averted); doubling FLS capacity averted a projected 3674 fractures (0.15%; $35 835 per fracture averted). Our model projected that neither doubling the screening rate nor reducing by half the proportion of eligible patients who did not attend FLS alone would reduce the number of fractures. Increasing the FLS number to 100, the screening rate to 60%, and capacity to 80 new patients per service per month would together avert a projected 13 672 fractures (0.56%) at a cost of $42 828 per fracture averted.

CONCLUSION

Our modelling indicates that increasing the number of hospital-based FLS and changing key operational characteristics would achieve only moderate reductions in the number of minimal trauma fractures among people aged 50 years or more, and the cost would be relatively high. Alternatives to specialist-led, hospital-based FLS should be explored.

Approach to the Patient With Bone Fracture: Making the First Fracture the Last

The global burden of osteoporosis and osteoporotic fractures will increase significantly as we enter a rapidly aging population. Osteoporotic fractures lead to increased morbidity, mortality, and risk of subsequent fractures if left untreated. However, studies have shown that the majority of patients who suffer an osteoporotic fracture are not investigated or treated for osteoporosis, leading to an inexcusable "osteoporosis care gap." Systematic and coordinated models of care in secondary fracture prevention known as fracture liaison services (FLS) have been established to streamline and improve the care of patients with osteoporotic fractures, and employ core principles of identification, investigation, and initiation of treatment. Our approach to the multifaceted care of secondary fracture prevention at a hospital-based FLS is illustrated through several case vignettes.

Effectiveness of fracture liaison services in osteoporosis

BACKGROUND

In response to the gradual decline in the number of prescriptions for anti-osteoporosis medication (AOM) following fragility fractures, fracture liaison services (FLSs) have been set up around the world with the aim of filling this treatment gap. Several studies have already reported the benefits of such organizations, particularly in reducing fracture risk, mortality rates and healthcare costs, and literature on FLSs has increased at a steady pace over time.

METHODS

A narrative review was conducted on the latest available findings on the effectiveness of FLSs. Various approaches to implementing an effective FLS program are discussed.

RESULTS

FLS programs have enhanced the management of osteoporosis-related fractures. However, several studies have highlighted that not all FLSs are necessarily effective in reducing subsequent fracture risk and mortality. Long-term AOM persistence and monitoring are another critical issue in FLS programs. A few studies have reported that FLSs are associated with an improvement in AOM persistence, regardless of the type of AOM. Practitioners in the FLS setting need to be aware of the impact of recency of fracture and fracture recurrence rates, and the need for timely interventions. The administration of zoledronic acid in an in-patient setting may improve AOM treatment rates in patients, who often encounter obstacles to outpatient follow-up. Introducing 'vertebral fracture identification services' in FLS programs is also an option. However, doing so leads to an increase in workload and this would need to be considered by any FLS that is considering introducing such a service. Evidence suggests that digital technologies can support (i) multidisciplinary teams in providing the best possible patient care based on current evidence, and (ii) patient self-management. However, as the methodological quality of many of the studies evaluating these technologies was poor, their validity of their results is limited.

CONCLUSION

Further research should focus on the optimal implementation of post-fracture care using automated systems, and standardized reporting of patient's characteristics and outcome measures using key performance indicators.