Frailty as a Priority-Setting Criterion for Potentially Lifesaving Treatment-Self-Fulfilling Prophecy, Circularity, and Indirect Discrimination?

Frailty is a state of increased vulnerability to poor resolution of homeostasis after a stressor event. Frailty is most frequently assessed in the old using the Clinical Frailty Scale (CSF) which ranks frailty from 1 to 9. This assessment typically takes less than one minute and is not validated in patients with learning difficulties or those under 65 years old. The National Institute for Health and Care Excellence (NICE) developed guidelines that use "frailty" as one of the priority-setting criteria for how scarce, but potentially lifesaving, health care resources should be allocated during the COVID-19 pandemic. Similar guidelines have been developed elsewhere. This paper discusses the ethical implications of such rationing and argues that this is an unproven and ethically problematic form of health care rationing. It specifically discusses: (1) how the frailty ascription becomes a self-fulfilling prophecy, (2) the problematic use of "frailty" in COVID-19 "triage," (3) the circularity of the link between age and frailty, (4) indirect discrimination because of the use of a seemingly neutral criterion in health care rationing, and (5) the difficult link between comorbidities and frailty. It is found that there was no research into the use of global frailty scores as a criterion for access to acute treatment before January 2020 and so it is concerning how readily frailty scoring has been adopted to ration access to potentially lifesaving treatments. Existing gerontological frailty scoring systems have not been developed for this purpose, and repurposing them creates significant ethical issues.

Are wearable devices effective for preventing and detecting falls: an umbrella review (a review of systematic reviews).

BACKGROUND: Falls are a common and serious health issue facing the global population, causing an estimated 646,000 deaths per year globally. Wearable devices typically combine accelerometers, gyroscopes and even barometers; using the data collected and inputting this into an algorithm that decides whether a fall has occurred. The purpose of this umbrella review was to provide a comprehensive overview of the systematic reviews on the effectiveness of wearable electronic devices for falls detection in adults. METHODS: MEDLINE, Embase, Cochrane Database of Systematic Reviews (CDSR), and CINAHL, were searched from their inceptions until April 2019 for systematic reviews that assessed the accuracy of wearable technology in the detection of falls. RESULTS: Seven systematic reviews were included in this review. Due to heterogeneity between the included systematic reviews in their methods and their reporting of results, a meta-analysis could not be performed. Most devices tested used accelerometers, often in combination with gyroscopes. Three systematic reviews reported an average sensitivity of 93.1% or greater and an average specificity of 86.4% or greater for the detection of falls. Placing sensors on the trunk, foot or leg appears to provide the highest accuracy for falls detection, with multiple sensors increasing the accuracy, specificity, and sensitivity of these devices. CONCLUSIONS: This review demonstrated that wearable device technology offers a low-cost and accurate way to effectively detect falls and summon for help. There are significant differences in the effectiveness of these devices depending on the type of device and its placement. Further high-quality research is needed to confirm the accuracy of these devices in frail older people in real-world settings.

The efficacy of cognitive behavioral therapy for the treatment of antenatal depression: A systematic review.

BACKGROUND: Antenatal depression affects 7-20% of pregnant women globally yet less than a fifth of such women receive adequate treatment. Cognitive behavioral therapy (CBT) is known to be effective in the treatment of depression. However, the research is more limited with regard to the antenatal period suggesting a need for clearer evidence within this field. OBJECTIVE: To determine if CBT is effective in the treatment of antenatal depression. METHODS: Medline, Embase, PsychINFO, CINAHL and CENTRAL were searched for studies that quantified the effectiveness of CBT in women with a confirmed diagnosis of antenatal depression. Randomised controlled trials that measured the effectiveness of CBT delivered during the antenatal period, compared to another intervention or usual care, measured using a validated depression score pre and post intervention were included. RESULTS: Five RCTs were eligible for inclusion, all of which found a significant decrease in depression scores following CBT interventions, greater than that observed in control groups. Improvements in depressive scores were maintained long-term for participants who received CBT. Participant satisfaction with the interventions received was high. LIMITATIONS: Studies included displayed major performance biases, and language bias is present due to exclusion of an Iranian paper. CONCLUSION: CBT, tailored to pregnant women, is effective in the treatment of antenatal depression, with little difference in efficacy between CBT sub-types. Further large-scale RCTs are needed to confirm these hypotheses and determine the most cost-effective way of delivering CBT to pregnant women. There is also need for a specific, validated tool for assessing antenatal depression.