Digital clinical decision support to improve pharmacotherapy in (morbidly) obese patients: a prospective intervention study.

Author:

Keyany Ala1ORCID,Groenen Ilse2,Saini Sarbjit1,Maat Barbara1ORCID

Affiliation:

1. Elisabeth-TweeSteden Ziekenhuis

2. Utrecht University: Universiteit Utrecht

Abstract

Abstract Background In (morbidly) obese patients standard medication dosing is suboptimal and requires adjustments to body mass index (BMI) or body weight (BW). Digital clinical decision support (eCDS) may help optimise this. Aim To assess the effect of eCDS on adjustments to BMI/BW in pharmacotherapy in hospitalised (morbidly) obese patients. Method This prospective intervention study included hospitalised patients ≥18years with a BMI ≥30kg/m² and/or BW ≥90kg from 01.01.2022-30.09.2022 (pre-eCDS) and from 10.10.2022-25.11.2022 (post-eCDS). Post-eCDS, pharmacy recommended dose adjustments to physicians based on eCDS, a tool that selected patients whose medication order(s) needed adjustment to BMI/BW. Study outcomes were prevalence of medication orders adjusted to BMI/BW pre-eCDS versus post-eCDS, prevalence of post-eCDS patients with ≥1 medication order(s) with a recommendation for adjustment, physician acceptance rate, including reasons for rejection, and occurrence of treatment failure/adverse events. Results In post-eCDS patients (n=804) pharmacotherapy was significantly more often adjusted to BMI/BW than in pre-eCDS patients (n=4,428): 77.7% (912/1,173 medication orders) post-eCDS versus 58.2% (3,519/6,049 medication orders) pre-eCDS (p<0.0001). Post-eCDS, 328 patients had ≥1 medication order(s) resulting in 349 pharmacotherapeutic recommendations. The acceptance rate by physicians was 53.3% (186/349 for 167 patients). The recommendations mainly concerned nadroparin [92.8% (324/349)] and antibiotics [6.9% (24/349)]. The main reason for rejecting a recommendation was near discharge [90.8% (148/163)]. No treatment failures and four possible adverse events occurred. Conclusion Implementation of eCDS significantly increased the prevalence of medication orders adjusted to BMI/BW in hospitalised (morbidly) obese patients and is useful to optimise treatment for this growing population.

Publisher

Research Square Platform LLC

Reference21 articles.

1. World Health Organisation. Obesity. 2023. https://www.who.int/health-topics/obesity#tab=tab_1. Accessed 16.09.2023.

2. Dutch Obesity Clinics [Nederlandse Obesitas Kliniek]. 2023. About obesity. https://www.obesitaskliniek.nl/over-obesitas/. Accessed 16.09.2023.

3. 2019-gbd-2019-covariates-1980-2019;Global Health Data Exchange,2019

4. Global Obesity Observatory. World Obesity Federation. The Netherlands. 2023. https://data.worldobesity.org/country/netherlands-153/. Accessed 16.09.2023.

5. The medical risks of obesity;Pi-Sunyer X;Postgrad Med,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3