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Barros TSDA, Santos EJF, Parreira PMDSD, Campos JF, de Almeida IF, Bernardes RA, da Silva MM. Construction and enhancement of a prototype for a medical-hospital equipment for hypodermoclysis: a qualitative study. Rev Bras Enferm 2024; 77:e20240059. [PMID: 39319971 PMCID: PMC11419691 DOI: 10.1590/0034-7167-2024-0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/17/2024] [Indexed: 09/26/2024] Open
Abstract
OBJECTIVES to construct a Subcutaneous Hydration Device semi-functional prototype and gather initial information to improve this prototype design and realize its acceptance potential. METHODS a qualitative, descriptive and exploratory study, which used focus group, following the Technology Acceptance Model. The group was held at the Escola Superior de Enfermagem de Coimbra, Portugal, in December 2022, composed of nine participants from six different disciplinary areas, and followed thematic analysis. RESULTS four topics emerged associated with the device components: elastomeric infusion pump; needle/access device; clamp; administration set. From these topics, topics were triggered that highlighted: characteristics about the target population; ease of use and accessories; patient comfort and safety; and device application context. FINAL CONSIDERATIONS the Subcutaneous Hydration Device semi-functional prototype is viable and interesting for the clinic. The results support its improvement and direct future investments for experimental studies.
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Affiliation(s)
| | - Eduardo José Ferreira Santos
- Escola Superior de Enfermagem de Coimbra, Unidade de Investigação em Ciências da Saúde: Enfermagem. Coimbra, Portugal
| | | | | | - Inês Franco de Almeida
- Escola Superior de Enfermagem de Coimbra, Unidade de Investigação em Ciências da Saúde: Enfermagem. Coimbra, Portugal
| | - Rafael Alves Bernardes
- Escola Superior de Enfermagem de Coimbra, Unidade de Investigação em Ciências da Saúde: Enfermagem. Coimbra, Portugal
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Deng L, Cheng F, Gao X, Yu W, Shi J, Zhou L, Zhang L, Li M, Wang Z, Zhang YD, Lv Y. Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology. Sci Rep 2023; 13:299. [PMID: 36609446 PMCID: PMC9822910 DOI: 10.1038/s41598-022-24221-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 11/11/2022] [Indexed: 01/09/2023] Open
Abstract
How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in the field of disease diagnosis, but lacks successful application in medical management. We distinguish each area of the emergency department by the division of medical links. In the spatial dimension, in this study, the waitlist number in real-time is got by processing videos using image recognition via a convolutional neural network. The congestion rate based on psychology and architecture is defined for measuring crowdedness. In the time dimension, diagnosis time and time-consuming after diagnosis are calculated from visit records. Factors related to congestion are analyzed. A total of 4717 visit records from the emergency department and 1130 videos from five areas are collected in the study. Of these, the waiting list of the pediatric waiting area is the largest, including 10,436 (person-time) people, and its average congestion rate is 2.75, which is the highest in all areas. The utilization rate of pharmacy is low, with an average of only 3.8 people using it at the one time. Its average congestion rate is only 0.16, and there is obvious space waste. It has been found that the length of diagnosis time and the length of time after diagnosis are related to age, the number of diagnoses and disease type. The most common disease type comes from respiratory problems, accounting for 54.3%. This emergency department has congestion and waste of medical resources. People can use artificial intelligence to investigate the congestion in hospitals effectively. Using artificial intelligence methods and traditional statistics methods can lead to better research on healthcare resource allocation issues in hospitals.
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Affiliation(s)
- Lijia Deng
- School of Computing and Mathematical Sciences, The University of Leicester, University Road, Leicester, LE1 7RH, UK
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Fan Cheng
- Department of Endodontics, School and Hospital of Stomatology, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Tongji University, Shanghai, People's Republic of China
| | - Xiang Gao
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Wenya Yu
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Jianwei Shi
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Liang Zhou
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Lulu Zhang
- Department of Health Service, College of Health Service, Naval Medical University of the Chinese People's Liberation Army, Shanghai, People's Republic of China
| | - Meina Li
- Department of Health Service, College of Health Service, Naval Medical University of the Chinese People's Liberation Army, Shanghai, People's Republic of China
| | - Zhaoxin Wang
- The First Affiliated Hospital, Hainan Medical University, Haikou, People's Republic of China.
- School of Management, Hainan medical university, Haikou, People's Republic of China.
| | - Yu-Dong Zhang
- School of Computing and Mathematical Sciences, The University of Leicester, University Road, Leicester, LE1 7RH, UK.
| | - Yipeng Lv
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
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O'Connor Power F, Beatty S, Dunne N, O'Connell L, O’ Riordan N, Sloane H, Prizeman G, O'Sullivan K, Butler É, Howlin C, Byrne G. “I'm not being serviced; I'm being cared for”: A mixed methods' study of patients' and nurses' perceptions of community oncology nursing delivered by a Community Intervention Team. Eur J Oncol Nurs 2022; 60:102146. [DOI: 10.1016/j.ejon.2022.102146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 03/01/2022] [Accepted: 04/22/2022] [Indexed: 11/25/2022]
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O'Mahony C, Murphy KD, Byrne S. A mixed methods analysis of the monitoring of oral anti-cancer therapies. Eur J Oncol Nurs 2021; 54:102026. [PMID: 34487968 DOI: 10.1016/j.ejon.2021.102026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/01/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE Oral anti-cancer therapies offer advantages over parenteral therapies in terms of their non-invasive nature and reduced intrusiveness. However, the shift from directly observed administration of these therapies to home administration means that continuous monitoring is needed. The oral anti-cancer therapy market is rapidly growing, with an ever-increasing number of new medicines available for the patients presenting with cancer illnesses. This study aims to (i) evaluate both the cost of providing monitoring consultations of oral anti-cancer therapies, and (ii) to assess the experience of cancer therapy nurses responsible for the monitoring and their opinions of the quality of the service. METHODS This study provides a mixed methods evaluation of the monitoring of oral anti-cancer therapies. Nurses were asked to record the time taken for them to perform their monitoring duties, and staff related costs were calculated using publicly available salary data. Patient-related costs were calculated using the Human Capital method. Nurses were asked to discuss their experience of monitoring oral anti-cancer therapies in semi-structured interviews. These interviews were subsequently analysed using thematic analysis. RESULTS 201 recordings and their associated costs were documented. The median consultation time was 33 min, costing €22.10 using Clinical Nurse Specialist salary figures and €26.51 using Advanced Nurse Practitioner salary figures. The associated patient cost was €14.06. Themes of the effect of Covid-19 on the service, expanding and complicated care package requirements, the need for dedicated oral clinics and the future of the service emerged from the interview data. CONCLUSION The monitoring service provided by nurses may be undervalued. The commitment to fully dedicated oral anti-cancer therapy clinics and an increase in staff to align with the ongoing increase in service demand is seen as vital for the continued safe and effective delivery of this specialist cancer service.
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Affiliation(s)
- Cian O'Mahony
- Pharmaceutical Care Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland.
| | - Kevin D Murphy
- Pharmaceutical Care Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland
| | - Stephen Byrne
- Pharmaceutical Care Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland
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Obstacles and perspectives of community nurses during chemoradiotherapy in head and neck cancer patients. Eur J Oncol Nurs 2021; 51:101910. [PMID: 33601196 DOI: 10.1016/j.ejon.2021.101910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 11/21/2022]
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A qualitative evaluation of community and acute hospital nursing oncology services in Ireland. Eur J Oncol Nurs 2021; 51:101912. [PMID: 33610929 DOI: 10.1016/j.ejon.2021.101912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 02/01/2021] [Accepted: 02/05/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE Cancer patients are a particularly vulnerable population group, facing an increase in physical, mental, logistical and financial difficulties. This, as well as Ireland's increased focus on primary care with the Sláintecare health plan, led to the development of the Community Oncology Nursing Programme, where community nurses are trained to provide cancer care in the community. This paper sought to explore the lived experiences of the patients and nurses involved in this programme in order to examine its impact as well as determine facilitators and roadblocks for future development. METHODS A qualitative examination of the service was carried out by interviewing cancer patients receiving care as part of the programme as well as the nurses delivering care, both in the community and hospital day-ward. Thematic analysis was used. RESULTS Themes of improved patient experience, nurse-patient relationship, the importance of location and roadblocks to further implementation of the programme emerged. There was a universal belief that the programme offered benefits to the patient and improved their care in some manner. CONCLUSIONS The Community Oncology Nursing Programme has been well received by both nurses and patients. The service provided by community nurses as part of this programme offers benefits to patients and an improved cancer service.
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