Suppr超能文献

评估患者护理质量的临床工程方法的数学建模。

Mathematical modeling of clinical engineering approach to evaluate the quality of patient care.

作者信息

Hossain Md Anwar, Ahmad Mohiuddin, Islam Md Rafiqul, David Yadin

机构信息

1Department of Biomedical Engineering, Khulna University of Engineering & Technology (KUET), Khulna, 9203 Bangladesh.

National Electro-Medical Equipment Maintenance Workshop & Training Center, MoH & FW, Dhaka, Bangladesh.

出版信息

Health Technol (Berl). 2020;10(2):547-561. doi: 10.1007/s12553-019-00390-9. Epub 2019 Nov 24.

Abstract

At present, the patient care delivery system (PCDS) in a hospital/medical institute/clinic is absolutely medical technology-dependent and this tendency is found to increase day by day. To ensure the quality of patient care (QPC) appropriate implementation of the patient care technology management system (PCTMS) is necessary. Unfortunately, it is found to be absent in the healthcare delivery system in most of the countries in the world. The situation is very much severe, particularly, in medium- and low-income countries like Malaysia, India, Sri Lanka, Bangladesh, Pakistan, etc. The opposite scenario is found in high-income countries, specifically, in Japan where QPC has been improved significantly by adopting the clinical engineering approach (CEA) in their PCDS. Up to now, QPC is determined based on prediction as there are no mathematical ways to evaluate it properly. In this study, we for the first time, propose a mathematical model to evaluate the QPC quantitatively based on feedback control analogy taking into account of CEA in PCTMS, particularly, for clinical and surgical equipment. The model consists of three subsections: the clinical engineering department (CED), PCTMS, and health care engineering directorate (HCED). The correlation among the subsections and their performance parameters are defined and standardized. Multiple linear regression method is applied to derive the least square normal equations for each of the subsections and then the regression coefficients are solved by the standard data taken from 1000 beds hospitals of different countries. The model is applied to reveal the present status of QPC for 18 different countries including high-, middle-, and low-income countries of the world. The results obtained from the model demonstrate that the present status of QPC in Japan is 84.69% and in Pakistan, it is only 0.20%. This huge discrepancy is identified to be caused by the inclusion of CEA in PCDS of Japan. The proposed model can be applied to evaluate the QPC of a hospital/in a country and hence to take necessary steps accordingly for establishing the proposed research methodology. It is to be mentioned here that the proposed model cannot be applied to evaluate the QPC in some countries like Bangladesh, Bhutan, Nepal, etc. due to the unavailability of data related to the model parameters.

摘要

目前,医院/医疗机构/诊所的患者护理提供系统(PCDS)完全依赖医疗技术,而且这种趋势日益增强。为确保患者护理质量(QPC),有必要适当实施患者护理技术管理系统(PCTMS)。不幸的是,在世界上大多数国家的医疗服务提供系统中都发现该系统缺失。这种情况非常严峻,尤其是在马来西亚、印度、斯里兰卡、孟加拉国、巴基斯坦等中低收入国家。而在高收入国家则呈现相反的情况,特别是在日本,通过在其PCDS中采用临床工程方法(CEA),QPC得到了显著改善。到目前为止,由于没有合适的数学方法来正确评估QPC,所以它是基于预测来确定的。在本研究中,我们首次提出一种数学模型,基于反馈控制类比,在考虑PCTMS中CEA的情况下,对QPC进行定量评估,特别是针对临床和手术设备。该模型由三个子部分组成:临床工程部门(CED)、PCTMS和医疗保健工程管理局(HCED)。定义并规范了各子部分之间的相关性及其性能参数。应用多元线性回归方法为每个子部分推导最小二乘正规方程,然后通过从不同国家的1000张床位医院获取的标准数据求解回归系数。该模型用于揭示世界上18个不同国家(包括高、中、低收入国家)的QPC现状。从该模型获得的结果表明,日本的QPC现状为84.69%,而在巴基斯坦仅为0.20%。这种巨大差异被认为是由日本在PCDS中纳入CEA导致的。所提出的模型可用于评估医院/一个国家的QPC,从而据此采取必要措施来建立所提出的研究方法。在此需要提及的是,由于缺乏与模型参数相关的数据,所提出的模型无法应用于评估孟加拉国、不丹、尼泊尔等一些国家的QPC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f08/7222130/d34ddc66875f/12553_2019_390_Fig1_HTML.jpg

相似文献

1
Mathematical modeling of clinical engineering approach to evaluate the quality of patient care.
Health Technol (Berl). 2020;10(2):547-561. doi: 10.1007/s12553-019-00390-9. Epub 2019 Nov 24.
3
[Standard technical specifications for methacholine chloride (Methacholine) bronchial challenge test (2023)].
Zhonghua Jie He He Hu Xi Za Zhi. 2024 Feb 12;47(2):101-119. doi: 10.3760/cma.j.cn112147-20231019-00247.
7
8
Asian-Pacific round of WFS activities.
Asian Pac Popul Programme News. 1979;8(1):16.
9
A psychometric evaluation of the Indonesian version of the Quality in Psychiatric Care-Inpatient Staff (QPC-IPS) instrument.
Asian J Psychiatr. 2019 Dec;46:29-33. doi: 10.1016/j.ajp.2019.09.027. Epub 2019 Sep 27.
10
Japan as the front-runner of super-aged societies: Perspectives from medicine and medical care in Japan.
Geriatr Gerontol Int. 2015 Jun;15(6):673-87. doi: 10.1111/ggi.12450. Epub 2015 Feb 5.

本文引用的文献

1
Special Series: A Clinical Engineer's Approach to CMS Compliance: Part Two.
Biomed Instrum Technol. 2015 Nov-Dec;49(6):402-8. doi: 10.2345/0899-8205-49.6.402.
2
An integrated evaluation for the performance of clinical engineering department.
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3110-3. doi: 10.1109/EMBC.2014.6944281.
3
Human factors engineering: a tool for medical device evaluation in hospital procurement decision-making.
J Biomed Inform. 2005 Jun;38(3):213-9. doi: 10.1016/j.jbi.2004.11.008. Epub 2004 Dec 8.
4
Planning hospital medical technology management.
IEEE Eng Med Biol Mag. 2004 May-Jun;23(3):73-9. doi: 10.1109/memb.2004.1317985.
6
Framing the problem of measuring and improving healthcare quality: has the Quality Health Outcomes Model been useful?
Med Care. 2004 Feb;42(2 Suppl):II4-11. doi: 10.1097/01.mlr.0000109122.92479.fe.
7
Using usability heuristics to evaluate patient safety of medical devices.
J Biomed Inform. 2003 Feb-Apr;36(1-2):23-30. doi: 10.1016/s1532-0464(03)00060-1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验