Usability of an app-based clinical decision support system to monitor psychotropic drug prescribing appropriateness in dementia

被引:1
|
作者
Rasing, Naomi [1 ,2 ]
Janus, Sarah [1 ,2 ]
Smalbrugge, Martin [3 ,4 ]
Koopmans, Raymond [5 ]
Zuidema, Sytse [1 ,2 ,6 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Primary & Long Term Care, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Alzheimer Ctr Groningen, Groningen, Netherlands
[3] Locat Vrije Univ Amsterdam, Amsterdam UMC, Dept Med Older People, Boelelaan 1117, Amsterdam, Netherlands
[4] Amsterdam Publ Hlth Res Inst, Aging & Later Life, Amsterdam, Netherlands
[5] Radboud Univ Nijmegen, Dept Primary & Community Care, Med Ctr, Ctr Specialized Geriatr Care, Nijmegen, Netherlands
[6] Univ Groningen, Univ Med Ctr Groningen, Dept Primary & Long Term Care, HPC FA21 ,PO 196, Groningen NL-9713 GZ, Netherlands
关键词
Mobile applications; Psychotropic drugs; User-centered design; Implementation science; Prescribing appropriateness inappropriate; prescribing; NEUROPSYCHIATRIC SYMPTOMS; PREVALENCE; MEDICATIONS; GUIDELINE; ANTIPSYCHOTICS; QUALITY; TOOL; SUS;
D O I
10.1016/j.ijmedinf.2023.105132
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background: Guidelines recommend reluctant psychotropic drug (PD) prescribing in nursing home residents with dementia and neuropsychiatric symptoms (NPS), as efficacy of PDs is limited, and side effects are common. Nevertheless, PDs are commonly prescribed to reduce NPS. A smartphone application that evaluates appropriateness of PD prescriptions and provides recommendations from the revised Dutch guideline on problem behaviour in dementia may promote guideline adherence and increase appropriate prescribing.Objective: This study aimed to assess user experiences, barriers and facilitators of the Dutch 'Psychotropic Drug Tool' smartphone application (PDT) in the context of appropriate prescribing of PDs to nursing home residents with dementia and NPS.Methods/design: The PDT was developed according to the recommendations of the Dutch guideline for treatment of NPS in people with dementia. Feedback provided during usability testing with two end-users was applied to improve the PDT before implementation in day-to-day practice. Sixty-three prescribers were asked to use the PDT at their own convenience for four months. User expectations and experiences were assessed at baseline and after four months with the System Usability Scale and the Assessment of Barriers and Facilitators for Implementation.Results: Expected usability (M = 72.59; SD = 11.84) was similar to experienced usability after four months (M = 69.13; SD = 16.48). Appreciation of the PDTs user-friendliness (on average 6.7 out of 10) and design (7.3) were moderately positive, in contrast to the global rating of the PDT (5.7). Perceived barriers for PDT use were time consumption and lack of integration with existing electronic systems. Perceived facilitators were ease of use and attractive lay out. For broader implementation, physicians suggested a change in direction of the PDT: start assessment of appropriateness based on the list of NPS instead of PD as primary input.Conclusions: In this pragmatic prospective cohort study we found that the PDT was used by elderly care physicians, with mediocre user satisfaction. The PDT will be optimized based on user feedback regarding experienced usability, barriers and facilitators, after which broader implementation can be initialized. The Medical Ethics Review Board of the University Medical Center Groningen declared this is a non-WMO study (UMCG RR Number: 201800284).
引用
收藏
页数:8
相关论文
共 46 条
  • [41] Developing a User-Centered Digital Clinical Decision Support App for Evidence-Based Medication Recommendations for Type 2 Diabetes Mellitus: Prototype User Testing and Validation Study
    Larsen, Kevin
    Akindele, Bilikis
    Head, Henry
    Evans, Rick
    Mehta, Purvi
    Hlatky, Quinn
    Krause, Brendan
    Chen, Sydney
    King, Dominic
    JMIR HUMAN FACTORS, 2022, 9 (01):
  • [42] Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors
    Siciarz, Pawel
    Alfaifi, Salem
    Van Uytven, Eric
    Rathod, Shrinivas
    Koul, Rashmi
    McCurdy, Boyd
    CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY, 2021, 31 : 50 - 57
  • [43] An Ontology-Based Decision Support System for Tailored Clinical Nutrition Recommendations for Patients With Chronic Obstructive Pulmonary Disease: Development and Acceptability Study
    Spoladore, Daniele
    Colombo, Vera
    Fumagalli, Alessia
    Tosi, Martina
    Lorenzini, Erna Cecilia
    Sacco, Marco
    JMIR MEDICAL INFORMATICS, 2024, 12
  • [44] Ecological Assessment of Clinicians' Antipsychotic Prescription Habits in Psychiatric Inpatients: A Novel Web- and Mobile Phone-Based Prototype for a Dynamic Clinical Decision Support System
    Berrouiguet, Sofian
    Luisa Barrigon, Maria
    Brandt, Sara A.
    Nitzburg, George C.
    Ovejero, Santiago
    Alvarez-Garcia, Raquel
    Carballo, Juan
    Walter, Michel
    Billot, Romain
    Lenca, Philippe
    Delgado-Gomez, David
    Ropars, Juliette
    de la Calle Gonzalez, Ivan
    Courtet, Philippe
    Baca-Garcia, Enrique
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (01)
  • [45] Comparative effectiveness of team-based care with a clinical decision support system versus team-based care alone on cardiovascular risk reduction among patients with diabetes: Rationale and design of the D4C trial
    Shi, Xiulin
    He, Jiang
    Lin, Mingzhu
    Liu, Changqin
    Yan, Bing
    Song, Haiqu
    Wang, Caihong
    Xiao, Fangsen
    Huang, Peiying
    Wang, Liying
    Li, Zhibin
    Huang, Yinxiang
    Zhang, Mulin
    Chen, Chung-Shiuan
    Obst, Katherine
    Li, Weihua
    Yang, Shuyu
    Yao, Guanhua
    Li, Xuejun
    AMERICAN HEART JOURNAL, 2021, 238 : 45 - 58
  • [46] Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China
    Li, Zixiao
    Zhang, Xinmiao
    Ding, Lingling
    Jing, Jing
    Gu, Hong-Qiu
    Jiang, Yong
    Meng, Xia
    Du, Chunying
    Wang, Chunjuan
    Wang, Meng
    Xu, Man
    Zhang, Yanxu
    Hu, Meera
    Li, Hao
    Gong, Xiping
    Dong, Kehui
    Zhao, Xingquan
    Wang, Yilong
    Liu, Liping
    Xian, Ying
    Peterson, Eric
    Fonarow, Gregg C.
    Schwamm, Lee H.
    Wang, Yongjun
    STROKE AND VASCULAR NEUROLOGY, 2024, 9 (06) : 723 - 729