Ryan Charles Kelly, Richard I G Holt, Hermione Price, Peter Phiri, Michael Cummings, Amar Ali, Mayank Patel, Ethan Barnard, Sharon Allard, Victoria Hunter, Jana Rojkova, Clare Bolger, Daniela Georgieva, Maren Schinz, Martina Rothenbühler, Aritz Lizoain, Katharine Barnard-Kelly
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引用次数: 0
Abstract
Background and aims: Burnout affects >50% of physicians and nurses. Spotlight-AQ is a personalized digital health platform designed to improve routine diabetes visits. We assessed cost-effectiveness, visit length, and association with health care professional (HCP) burnout.
Materials and methods: Complete case within-trial cost-effectiveness analysis embedded within a multicenter, parallel-group randomized controlled trial. Adults with diabetes were recruited from primary and secondary care. Intervention group participants completed the Spotlight-AQ pre-clinic assessment before each routine visit. Health status was assessed with EQ-5D-5L to calculate quality-adjusted life years (QALYs). Client Service Receipt Inventory measured downstream resource use. Total costs and QALYs were calculated using baseline-controlled seemingly unrelated regression with bootstrapping. Haemoglobin (HbA1c) data were collected. Health care professionals completed the Maslach Burnout Inventory at baseline and study end.
Results: A total of 98 adults (49 intervention) and 18 HCPs participated. Total costs: £243 (US$310) intervention arm versus £230 (US$293) control arm; incremental cost: £13 (US$16). Total QALYs: 0.362 intervention arm and 0.358 control arm, with an incremental QALY: 0.004. Spotlight-AQ intervention dominated usual care with a 68% probability of cost-effectiveness at a threshold of £30 000 (US$38 294) per QALY gained. Health care professionals reported reduced burnout, emotional exhaustion, depersonalization, and a greater sense of personal achievement. Doctors are more so than nurses.
Conclusion: Spotlight-AQ has demonstrated cost-effective while delivering improved care and reduced HCP burnout.
Trial registration: ISRCTN15511689, registration date: November 1, 2021.
期刊介绍：
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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