Personal digital assistant with a barcode reader-A medical decision support system for nurses in home care

被引:26
|
作者
Johansson, Pauline E. [1 ,2 ,3 ]
Petersson, Goran I. [1 ,2 ]
Nilsson, Gunilla C. [1 ,2 ]
机构
[1] Linnaeus Univ, eHlth Inst, SE-39182 Kalmar, Sweden
[2] Linnaeus Univ, Sch Hlth & Caring Sci, SE-39182 Kalmar, Sweden
[3] Linnaeus Univ, Sch Nat Sci, SE-39182 Kalmar, Sweden
关键词
Medical informatics; Personal digital assistant; Computers; handheld; Decision support system; clinical; Pharmaceutical preparations; Automatic data processing; Barcode; Nurses; Home care services; Nursing; ADVERSE DRUG-REACTIONS; HEALTH-CARE; ELDERLY-PATIENTS; HAND; INAPPROPRIATE; TECHNOLOGY; POPULATION; REGISTER; STUDENTS; SAFETY;
D O I
10.1016/j.ijmedinf.2010.01.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Introduction: Inappropriate medication among elderly people increases the risk of adverse drug-drug interactions, drug-related falls and hospital admissions. In order to prevent these effects it is necessary to obtain a pro. le of the patients' medication. A personal digital assistant (PDA) can be used as a medical decision support system (MDSS) to obtain a pro. le of the patients' medication and to check for inappropriate drugs and drug combinations, and to reduce medication errors. Aim: The aim of the present study was to evaluate nurses' experiences of using a MDSS in a PDA with a barcode reader, in order to obtain profiles of the patients' medication, regarding drug-drug interactions, therapeutic duplications, and warnings for drugs unsuitable for elderly in home care. Methods: The LIFe-reader (R) is a MDSS in a PDA with a barcode reader. By scanning the drug packages in the patients' home, the LIFe-reader (R) obtained profiles of the patients' medication and checked for drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly people. The LIFe-reader (R) also contained, e. g. drug information and medical reference works. Nurses (n = 15) used the LIFe-reader (R) for five weeks during their nursing home care practice assignment. The nurses answered questionnaires about the content and functions of the LIFe-reader (R) before, during and after the nursing home care practice assignment, and were interviewed in focus groups. Descriptive statistics were used and content analysis was applied for qualitative data. Results: By using the LIFe-reader (R), the majority of the nurses found it easy to obtain profiles of the patients' medication and check for drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly people. Most nurses regarded the LIFe-reader (R) to reduce drug-related risks of falling, and some thought it could reduce the drug-related admissions to hospitals. The scanning function was described as easy and time saving, although not always possible to use. The LIFe-reader (R) was regarded as a useful and user-friendly MDSS, but more content and functions were requested. We found that the LIFe-reader (R) has the potential to be a useful and user-friendly MDSS for nurses in home care when obtaining profiles of the patients' medication regarding drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly. A regular scanning of the patients' drugs in their home might support nurses and general practitioners (GPs) in reducing the inappropriate use of drugs. If the LIFe-reader (R) should be used in a larger scale among nurses, more content and functions are necessary. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:232 / 242
页数:11
相关论文
共 50 条
  • [21] A decision-making support system for operational coordination of Home Health Care services
    Zhang, Liwen
    Lamine, Elyes
    Fontanili, Franck
    Bortolaso, Christophe
    Derras, Mustapha
    Pingaud, Herve
    2019 IEEE/ACS 16TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA 2019), 2019,
  • [22] The Decision Support System and Conventional Method of Telephone Triage by Nurses in Emergency Medical Services: A Comparative Investigation
    Masoud, Mohammad Parvaresh
    Nejad, Mahdi Kashani
    Darebaghi, Hamid
    Chavoshi, Mohsen
    Farahani, Mahdi
    INTERNATIONAL JOURNAL OF E-BUSINESS RESEARCH, 2018, 14 (01) : 77 - 88
  • [23] General practitioners' user experience of the nationwide digital decision support system in primary care
    Steinmiller, Jekaterina
    Ross, Peeter
    DIGITAL HEALTH, 2024, 10
  • [24] Optimizing an integrated home care problem: A heuristic-based decision-support system
    Vieira, Bruno
    de Armas, Jesica
    Ramalhinho, Helena
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 114
  • [25] SYSTEM CHANGES TO SUPPORT RESIDENT-CENTERED MEDICAL DECISION MAKING FOR FRAIL NURSING HOME RESIDENTS
    Bern-Klug, M.
    GERONTOLOGIST, 2016, 56 : 675 - 675
  • [26] Pilot Study for the Development of a Self-Care System for Type 2 Diabetes Patients Using a Personal Digital Assistant (PDA)
    Shuji Inada
    Kazuhiro Yoshiuchi
    Yoko Iizuka
    Ken Ohashi
    Hiroe Kikuchi
    Yoshiharu Yamamoto
    Takashi Kadowaki
    Akira Akabayashi
    International Journal of Behavioral Medicine, 2016, 23 : 295 - 299
  • [27] Pilot Study for the Development of a Self-Care System for Type 2 Diabetes Patients Using a Personal Digital Assistant (PDA)
    Inada, Shuji
    Yoshiuchi, Kazuhiro
    Iizuka, Yoko
    Ohashi, Ken
    Kikuchi, Hiroe
    Yamamoto, Yoshiharu
    Kadowaki, Takashi
    Akabayashi, Akira
    INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE, 2016, 23 (03) : 295 - 299
  • [28] Towards a Medical Intensive Care Unit Decision Support System Based on Intuitionistic Fuzzy Logic
    Jemal, Hanen
    Kechaou, Zied
    Ben Ayed, Mounir
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 602 - 611
  • [29] Decision Support System for Medical Care Quality Assessment Based on Health Records Analysis in Russia
    Taranik, Maksim
    Kopanitsa, Georgy
    INFORMATION AND SOFTWARE TECHNOLOGIES (ICIST 2017), 2017, 756 : 203 - 209
  • [30] Decision Support System for Medical Care Quality Assessment Based on Health Records Analysis in Russia
    Maksim, Taranik
    Kopanitsa, Georgy
    MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS, 2017, 245 : 1371 - 1371