Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses' Transportation Tasks in Rural Clinics of Bavaria, Germany

被引:5
|
作者
Sommer, Domenic [1 ]
Kasbauer, Jakob [1 ]
Jakob, Dietmar [1 ]
Schmidt, Sebastian [1 ]
Wahl, Florian [1 ]
机构
[1] Deggendorf Inst Technol, Technol Campus Grafenau, D-94481 Grafenau, Germany
关键词
logistics; nursing task analysis; intra-hospital transfer; time and motion study; assistive; TIME-MOTION; WORK; CARE;
D O I
10.3390/nursrep14010021
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Transportation tasks in nursing are common, often overlooked, and directly impact patient care time in the context of staff shortages and an aging society. Current studies lack a specific focus on transportation tasks, a gap our research aims to fill. By providing detailed data on transportation needs in nursing, our study establishes a crucial foundation for the development and integration of assistive robots in clinical settings. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N = 1830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05% (n = 495) of all transports, followed by medical supplies at 17.32% (n = 317), pharmacotherapy at 14.10% (n = 258) and other other categories like meals or drinks contributing 12.68% (n = 232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15% of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5% of all transports. Our economic evaluation highlighted meals as the most costly transport, with 9596.16 euro per year in the observed clinics. Budget-friendly robots would amortize these costs over one year by transporting meals. We support understanding nurses' transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.
引用
收藏
页码:267 / 286
页数:20
相关论文
共 5 条
  • [1] Identification of care tasks for the use of wearable transfer support robots – an observational study at nursing facilities using robots on a daily basis
    Kenji Kato
    Tatsuya Yoshimi
    Shohei Tsuchimoto
    Nobuaki Mizuguchi
    Keita Aimoto
    Naoki Itoh
    Izumi Kondo
    BMC Health Services Research, 21
  • [2] Identification of care tasks for the use of wearable transfer support robots - an observational study at nursing facilities using robots on a daily basis
    Kato, Kenji
    Yoshimi, Tatsuya
    Tsuchimoto, Shohei
    Mizuguchi, Nobuaki
    Aimoto, Keita
    Itoh, Naoki
    Kondo, Izumi
    BMC HEALTH SERVICES RESEARCH, 2021, 21 (01) : 652
  • [3] User-oriented needs assessment of the potential use of assistive robots in direct nursing care: A mixed methods study
    Langensiepen, Sina
    Nielsen, Svenja
    Madi, Murielle
    Siebert, Maximilian
    Koerner, Daniel
    Elissen, Maurice
    Meyer, Gabriele
    Stephan, Astrid
    PFLEGE, 2024, 37 (02): : 69 - 78
  • [4] EXPLORING TASKS AND DECISIONS MADE DURING OSTOMY POUCH CHANGE PROCEDURES PERFORMED BY NURSES WITH AND WITHOUT SPECIALIZED OSTOMY NURSING CARE TRAINING: A CLINICAL SIMULATION STUDY
    Marcanikova, Marketa
    Harman, Melinda
    Hopkins, Casey
    Washburn, Abby
    Gerlach, Hannah
    Syed, Leena
    JOURNAL OF WOUND OSTOMY AND CONTINENCE NURSING, 2024, 51 (03) : S1 - S2
  • [5] Clinical outcome of rural in-hospital-stroke patients after interhospital transfer for endovascular therapy within a telemedical stroke network in Germany: a registry-based observational study
    Leitner, Miriam Antonia
    Hubert, Gordian Jan
    Paternoster, Laura
    Leitner, Moritz Immanuel
    Remi, Jan Martin
    Trumm, Christoph
    Haberl, Roman Ludwig
    Hubert, Nikolai Dominik
    BMJ OPEN, 2024, 14 (01):