Development and efficacy of a computerized decision support system for osteoporosis management in the community

Secondary fracture prevention in primary care: a narrative review

The global burden of osteoporosis continues to rise with an ageing population. Untreated osteoporotic fractures not only heighten the risk of subsequent fractures but are associated with excess mortality. Although primary care guidelines consistently stress the importance of secondary fracture prevention, fewer than 20% of patients are appropriately treated for osteoporosis following an initial osteoporotic fracture. This worldwide phenomenon is known as the osteoporosis care gap. This literature review examines the barriers to secondary fracture prevention in primary care and evaluates the effectiveness of targeted primary care interventions. Common themes emerged from the majority of qualitative studies, including a need for improved communication between the hospital team and primary care, better defined responsibilities and osteoporosis-directed education for the primary care physicians. Quantitative studies demonstrated that most targeted, intensive interventions aimed at educating patients and their primary care physician about osteoporosis treatment significantly increased rates of investigation and treatment. Greater uptake of models of secondary fracture prevention in primary care is urgently needed to address the osteoporosis care gap.

A novel fracture liaison service using digital health: impact on mortality in hospitalized elderly osteoporotic fracture patients

We examined the performance of an intelligent fracture liaison service (FLS) assisted by digital health (DH) to reduce all-cause mortality (ACM) risk. According to our findings, the new FLS reduced ACM by 36%.

INTRODUCTION

A well-designed secondary prevention program known as FLS enhances the bone densitometry-based assessment rate as well as osteoporosis (OP) medication usage following a fracture. However, there are only a few reports on FLS incorporating DH, and it remains unclear whether this integration has influenced patient ACM, which refers to the overall death rate from any cause during the study period.

METHODS

This retrospective observational study was conducted on data from the Fragility Fracture Registration System database linked to the Regional Health Registration Platform of Kunshan City and the Population Death Registration System of Jiangsu Province for one tertiary-level A hospital in China. Patients aged ≥ 50 years, who experienced an OP fracture between January 1, 2017, and July 27, 2022, requiring hospitalization, were selected for analysis. We compared the outcomes of patients who received routine fragility fracture management (the no-FLS group) or FLS (the FLS group). We employed multivariable Cox regression with inverse probability weighting based on the propensity score (PS).

RESULTS

Of 2317 patients, 756 (32.6%) received FLS and 1561 (67.4%) did not. Using PS matching, we minimized the baseline characteristic differences between the two groups in the propensity score-matched samples, relative to the unmatched samples. Based on our analysis, the new FLS reduced ACM by 36% (hazard ratio [HR], 0.64; 95% confidence interval [CI], 0.47 to 0.87; P-value = 0.004). Moreover, FLS patients experienced further reductions in fall-related mortality, refracture rate, and total refracture-related hospital costs, and had increased dual-energy X-ray absorptiometry (DXA) testing and treatment initiation rates, relative to the no-FLS patients.

CONCLUSIONS

A new FLS model implementation assisted by DH can effectively reduce ACM among elderly patients with OP fractures requiring surgery. In future investigations, we recommend examining the scalability of this model.

The impact of electronic pathways and digital systems on neck of femur fracture outcomes globally: a systematic review

INTRODUCTION

Electronic pathways (e-pathways) and digital systems are novel interventions with several uses in healthcare, ranging from clinical decision support systems to checklists for care delivery. Their application in the management of neck of femur (NOF) fractures is evolving and they may play a key role in facilitating improvements in care delivery. The primary aim of this review was to outline the impact of e-pathways/digital systems on NOF fracture outcomes.

METHODS

A systematic literature search was performed using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. A total of 698 citations were evaluated, of which 38 passed the inclusion/exclusion criteria. Six studies were then finalised following full-text review. Heterogenous data meant a narrative synthesis was undertaken. Risk of bias for each paper was assessed using the Downs and Black scale.

RESULTS

A statistically significant improvement was demonstrated for time to theatre (3/6 studies), length of hospital stay (2/6 studies) and secondary fracture prevention (2/6 studies). Although postoperative delirium and mortality improved with the introduction of e-pathways/digital systems, statistical significance was not achieved. No outcome measures were adversely affected.

CONCLUSIONS

This systematic review of the literature demonstrates that e-pathways and digital systems are promising novel interventions, displaying a significant positive impact on several NOF fracture outcomes. Owing to the novel nature of e-pathways and digital systems in orthopaedics, a limited number of studies were identified for review, each with variable study design. More high quality homogenous prospective cohort studies with a standardised primary outcome measure are required for more definitive conclusions of efficacy to be drawn.

DXA assessment and fracture prevention in hormone positive breast cancer patients after treatment initiation with aromatase inhibitors: A registry-based cohort study

Background

Several guidelines have been proposed to prevent aromatase inhibitors induced bone loss (AIBL), but there is scarce data on their endorsement in clinical practice.

Aim

To assess bone health evaluation and fracture prevention in postmenopausal women with estrogen receptor (ER)-positive breast cancer after aromatase inhibitors (AI) initiation.

Methods

An historical cohort analysis based on data from the cancer and osteoporosis Maccabi Health Services (MHS) registries from Jan 1st 2009 to Dec 31st 2020. Cases of estrogen receptor (ER)-positive breast cancer were extracted. Index date was set as the first aromatase inhibitors (AI) purchase. Variables such as age, BMI, smoking history, alcohol use, rheumatoid arthritis, diabetes, glucocorticosteroid use, previous fractures, BMD T-scores and purchases of AI and anti-resorptive agents were collected. Age under 50, previous cancer, prior major osteoporotic fractures and prior anti-resorptive treatment were exclusion criteria. Kaplan-Meier curves were generated to assess the time to outcomes. Multivariable Cox's proportional hazards survival model was performed.

Results

A total of 8617 women initiating AI were eligible. The median follow up was 6.1 years. The mean (SD) age at index was 62.8 (9.2), the mean (SD) BMI was 29.1 (5.6). The mean (SD) T-score was -1.3 (1.2) at the lumbar spine, -1.5 (0.9) at the femoral neck and -1.0 (1.0) at the total hip. Twenty percent had type 2 diabetes, 8.1 % were active smokers, 3.8% had rheumatoid arthritis and 1.2% were exposed to glucocorticoids.A total of 37% and 53% underwent a DXA scan at 1 and 2 years from AI initiation, and 12% and 17% were prescribed an anti-resorptive agent at 1 and 2 years from index. Advanced age was associated with a higher rate of evaluation and treatment, while obesity and diabetes were associated with a lower rate. The cumulative incidence of a major osteoporotic fracture was 8.8 and 15.8 % at 5 and 10 years, respectively.

Conclusions

Despite the excess risk of fractures, bone health assessment and preventive treatment are still partial and postponed in breast cancer AI treated patients. Strategies to ensure appropriate care are needed.

A Nationwide Digital Multidisciplinary Intervention Aimed at Promoting Pneumococcal Vaccination in Immunocompromised Patients

Immunocompromised patients (IPs) are at high risk for infections, some of which are vaccine-preventable. The Israeli Ministry of Health recommends pneumococcal conjugate vaccine 13 (PCV13) and pneumococcal polysaccharide vaccine 23 (PPSV23) for IP, but vaccine coverage is suboptimal. We assessed the project's effectiveness in improving the pneumococcal vaccination rate among IP. An automated population-based registry of IP was developed and validated at Maccabi Healthcare Services, an Israeli health maintenance organization serving over 2.6 million members. Included were transplant recipients, patients with asplenia, HIV or advanced kidney disease; or those receiving immunosuppressive therapy. A personalized electronic medical record alert was activated reminding clinicians to consider vaccination during IP encounters. Later, IP were invited to get vaccinated via their electronic patient health record. Pre- and post-intervention vaccination rates were compared. Between October 2019 and October 2021, overall PCV13 vaccination rates among 32,637 IP went up from 11.9% (n = 3882) to 52% (n = 16,955) (p < 0.0001). The PPSV23 vaccination rate went up from 39.4% (12,857) to 57.1% (18,652) (p < 0.0001). In conclusion, implementation of targeted automated patient- and clinician-facing alerts, a remarkable increase in pneumococcal vaccine uptake was observed among IP. The outlined approach may be applied to increase vaccination uptake in large health organizations.

Effectiveness of a computerized clinical decision support system for prevention of glucocorticoid-induced osteoporosis

Glucocorticoids are widely used for a variety of diseases, but the prevention of glucocorticoid-induced osteoporosis is sometimes neglected. Therefore, the effectiveness of a computerized clinical decision support system (CDSS) to improve the performance rate of preventive care for glucocorticoid-induced osteoporosis was evaluated. We conducted a prospective cohort study of outpatients who used glucocorticoids for three months or longer and who met the indication for preventive care based on a guideline. The CDSS recommended bisphosphonate (BP) prescription and bone mineral density (BMD) testing based on the risk of osteoporosis. The observation period was one year (phase 1: October 2017-September 2018) before implementation and the following one year (phase 2: October 2018-September 2019) after implementation of the CDSS. Potential alerts were collected without displaying them during phase 1, and the alerts were displayed during phase 2. We measured BP prescriptions and BMD testing for long-term prescription of glucocorticoids. A total of 938 patients (phase 1, 457 patients; phase 2, 481 patients) were included, and the baseline characteristics were similar between the phases. The median age was 71 years, and men accounted for 51%. The primary disease for prescription of glucocorticoids was rheumatic disease (28%), followed by hematologic diseases (18%). The prevalence of patients who needed an alert for BP prescription (67% vs. 63%, P = 0.24) and the acceptance rate of BP prescription (16% vs. 19%, P = 0.33) were similar between the phases. The number of patients who had orders for BMD testing was significantly increased (4% vs. 24%, P < 0.001) after CDSS implementation. The number of patients who needed an alert for BMD testing was significantly decreased from 93% in phase 1 to 87% in phase 2 (P = 0.004). In conclusion, the CDSS significantly increased BMD testing in patients with a higher risk of glucocorticoid-induced osteoporosis, but did not increase BP prescription.

Digital health interventions for osteoporosis and post-fragility fracture care

The growing burden from osteoporosis and fragility fractures highlights a need to improve osteoporosis management across healthcare systems. Sub-optimal management of osteoporosis is an area suitable for digital health interventions. While fracture liaison services (FLSs) are proven to greatly improve care for people with osteoporosis, such services might benefit from technologies that enhance automation. The term 'Digital Health' covers a variety of different tools including clinical decision support systems, electronic medical record tools, patient decision aids, patient apps, education tools, and novel artificial intelligence (AI) algorithms. Within the scope of this review are AI solutions that use algorithms within health system registries to target interventions. Clinician-targeted, patient-targeted, or system-targeted digital health interventions could be used to improve management and prevent fragility fractures. This review was commissioned by The Royal Osteoporosis Society and Bone Research Academy during the production of the 2020 Research Roadmap (https://theros.org.uk), with the intention of identifying gaps where targeted research funding could lead to improved patient health. We explore potential uses of digital technology in the general management of osteoporosis. Evidence suggests that digital technologies can support multidisciplinary teams to provide the best possible patient care based on current evidence and to support patients in self-management. However, robust randomised controlled studies are still needed to assess the effectiveness and cost-effectiveness of these technologies.