Utilization and uptake of clinical genetics services in high-income countries: A scoping review.

Ongoing rapid growth in the need for genetic services has the potential to severely strain the capacity of the clinical genetics workforce to deliver this care. Unfortunately, assessments of the scale of this health policy challenge and potential solutions are hampered by the lack of a consolidated evidence base on the growth in genetic service utilization. To enable health policy research and strategic planning by health systems in this area, we conducted a scoping review of the literature on the utilization and uptake of clinical genetics services in high-income countries published between 2010 and 2018. One-hundred-and-ninety-five unique studies were included in the review. Most focused on cancer (85/195; 44%) and prenatal care (50/195; 26%), which are consistently the two areas with the greatest volume of genetic service utilization in both the United States and other high-income countries. Utilization and uptake rates varied considerably and were influenced by contextual factors including health system characteristics, provider knowledge, and patient preferences. Moreover, growth in genetic service utilization appears to be driven to a significant degree by technological advances and the integration of new tests into clinical care. Our review highlights both the policy challenge posed by the rapid growth in the utilization of genetic services and the variability in this trend across clinical indications and health systems.

Adherence to oral anticoagulants among patients with atrial fibrillation: a systematic review and meta-analysis of observational studies.

INTRODUCTION: Medications cannot exert their effect if not taken as prescribed by patients. Our objective was to summarise the observational evidence on adherence to oral anticoagulants (OACs) among patients with atrial fibrillation (AF). METHODS: In March 2019, we systematically searched PubMed/Medline, Embase, CINAHL and PsycINFO (from inception) for observational studies measuring adherence, its determinants and impacts in patients with AF. Mean adherence measures and corresponding proportions of adherent patients were pooled using random effects models. Factors shown to be independently associated with adherence were extracted as well as the clinical and economic outcomes of adherence. RESULTS: We included 30 studies. Pooled mean adherence scores of over half a million patients with AF 6 months and 1 year after therapy initiation were 77 (95% CI: 74-79) and 74 (68-79) out of 100, respectively. Drug-specific pooled mean adherence score at 6 months and 1 year were as follows: rivaroxaban: 78 (73-84) and 77 (69-86); apixaban: 77 (75-79) and 82 (74-89); dabigatran: 74 (69-79) and 75 (68-82), respectively. There was inadequate information on warfarin for inclusion in meta-analysis.Factors associated with increased adherence included: older age, higher stroke risk, once-daily regimen, history of hypertension, diabetes or stroke, concomitant cardiovascular medications, living in rural areas and being an experienced OAC user. Non-adherent patients were more likely to experience stroke and death, and incurred higher medical costs compared with patients with poor adherence. CONCLUSIONS: Our findings show that up to 30% of patients with AF are non-adherent, suggesting an important therapeutic challenge in this patient population.

Who has the guts to deprescribe proton pump inhibitors? A pharmacist-led intervention in a long-term care facility setting.

OBJECTIVE: Long-term use of proton pump inhibitors (PPIs) has been associated with an increased risk of harm. There are few studies evaluating pharmacist-led PPI deprescribing interventions within a long-term care facility setting. The aim of this study was to describe the changes and influencing factors seen with a pharmacist-led PPI deprescribing intervention in two Fraser Health Authority long-term care facilities in British Columbia. METHODS: This 4-month intervention involved lists of residents who had active PPI orders being handed out to physicians from two facilities. The pharmacist conducted weekly reviews of residents from Facility 1 and offered deprescribing recommendations. The number and methods of PPI deprescribing orders per facility were determined after the intervention. RESULTS: Out of 58 residents from the two facilities, 30 (62.5%) had a deprescribing order. Facility 1 had 83.3% (20/24) of residents with a PPI deprescribing order, in contrast to 41.7% (10/24) from Facility 2. Overall, 80.0% of residents had successfully completed PPI deprescribing orders by the end of the study period. CONCLUSION: Clinical pharmacist intervention may increase the rate of initiation in PPI deprescribing orders within a long-term care facility setting. Factors that influence success include intervention timing, active collaboration, having residents under direct care, and clear documentation of PPI indications.