Cost-effective quality of life improvement while reducing healthcare professional burnout with an AI-driven intervention for personalized medicine
Cost-effective quality of life improvement while reducing healthcare professional burnout with an AI-driven intervention for personalized medicine
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.
Kelly, Ryan Charles
f34b19ec-641e-4669-80b1-280a25cb02fe
Holt, Richard I.G.
d54202e1-fcf6-4a17-a320-9f32d7024393
Price, Hermoine
5eac9c98-842a-4ae4-8b1f-dea77778fd83
Kelly, Ryan Charles
f34b19ec-641e-4669-80b1-280a25cb02fe
Holt, Richard I.G.
d54202e1-fcf6-4a17-a320-9f32d7024393
Price, Hermoine
5eac9c98-842a-4ae4-8b1f-dea77778fd83
Price, Hermoine
,
et al.
(2025)
Cost-effective quality of life improvement while reducing healthcare professional burnout with an AI-driven intervention for personalized medicine.
Journal of Diabetes Science and Technology.
(doi:10.1177/19322968241310879).
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.
Text
AI-Driven Personalised Medicine Associated with Reduced HCP Burnout 27th Sept 2024 accepted for publication
- Accepted Manuscript
More information
e-pub ahead of print date: 30 January 2025
Additional Information:
Authors: Ryan Charles Kelly, Richard IG 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 Rothenbuhler, Aritz Lizoain and Katharine Barnard-Kelly
Identifiers
Local EPrints ID: 499365
URI: http://eprints.soton.ac.uk/id/eprint/499365
ISSN: 1932-2968
PURE UUID: 6183a7c8-95c0-4a54-a63c-76c463948b26
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Date deposited: 18 Mar 2025 17:33
Last modified: 22 Mar 2025 02:38
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Author:
Ryan Charles Kelly
Author:
Hermoine Price
Corporate Author: et al.
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