护患比和护理复杂性:医疗机构面临的挑战
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The current COVID-19 pandemic has shed further light on the needs and complexity of care faced by today’s healthcare organisations, globally and in the Spanish context. Care complexity has been included in the analysis of institutional outcomes as an indicator that has interrelated and interdependent elements. At the hospital level, the key components of care complexity are the healthcare organisation itself, nurses, and the care dependency of patients.1
In relation to the first two components of complexity, organisational factors influence healthcare quality, particularly in relation to the work climate and job satisfaction of healthcare professionals.2 Moreover, ensuring the provision of objective quality care based on outcomes that are sensitive to nursing practice, i.e., that can be assessed with a set of specific, defined indicators, remains a major challenge today.3
In relation to the third component, the care dependency of the population, we are facing an ageing society, with increased life expectancy that will lead to the progression of both acute and chronic diseases. This situation will result in an increase in the number of the most care-dependent people admitted to hospitals in the near future.4
In this context, the scientific evidence shows that work overload in nurses leads to an increase in in-hospital adverse events and mortality. A key indicator, therefore, is the patient-to-nurse ratio per hospital, known in the English language literature as Nursing Staffing Level (NSL), defined as the number of nurses working per shift or more than 24 h divided by the number of beds occupied by a patient during the same period. However, although many studies have used this system to assess ratios in hospital settings because it is easy and inexpensive, it has certain limitations; for example, it does not consider status and level of dependency in patient care.5
To date, determining the optimal patient-nurse ratio in hospitals remains a challenge for the scientific community.6 Among others, the paper by Dr Aiken is of note. It examines nurse staffing levels in hospitals and their relationship with adverse events such as mortality. In her research she notes that for every patient added to the workload of a nurse in a surgical unit, the likelihood of patient survival is reduced by 5% during their hospital stay.7 Furthermore, lack of vigilance can lead to adverse events (AE) and a deterioration in the condition of patients, which could be avoided, thus reducing risk, and maximising clinical safety. Adequate staffing levels, therefore, have a positive impact on the healthcare system, and are related to a reduction in morbidity and mortality, and costs.8
Some of the AEs that occur in the hospital setting are directly related to complications during hospital stay, increasing the length of stay and even leading to death. According to the ‘Spanish National Study on Adverse Events linked to Hospitalisation’, the overall incidence of adverse events was estimated at 11.6% and mortality because of these events at 4.4%.9
In-hospital mortality is commonly used as an indicator to assess the quality of hospital care as it can be easily calculated from the data recorded in the databases of the different hospitals. In fact, when there is a high mortality rate in a centre, it is considered a marker that reflects poor care. Therefore, in hospitals where around 50% of deaths occur in one area, an increase in deaths of around 10% could be due to a lack of effective and safe care.10
Therefore, it is essential that we address care complexity by analysing all its components to identify the variables that influence and thus improve healthcare. The profile of the patient admitted to conventional medical wards in regional hospitals, is an average of 76-years old or more and educated to primary level.11 This situation is worrying when it is predicted that by the year 2050 Spain will have one of the most ageing populations in the world, with an increase from 16% to 34% over 65 years of age.2
In terms of nurse to patient ratio, a recent study carried out in Spain showed an average of 11 patients per nurse during a shift.11 This figure is similar to that obtained in the RN4CAST study, which found that the average ratio in European hospitals was 8.3 patients per nurse, and Spain was the country with the highest ratio.7, 12 This figure increased during the night shift, reaching up to 32 patients. There are data to indicate that it is during night shifts when patient care is at greater risk because some cognitive capacities and strength-based performance abilities are impaired.12 This situation implies an increased risk of adverse events and decreased quality of patient care. After this study, a bill on nurse ratios to ensure patient safety in healthcare centres and other settings was passed in Spain, which states that a maximum of 6 patients should be assigned per nurse and exceptionally 8, and that this distribution should consider the conditions of the patient, unit, and shift.13
These figures could be correct, because when a nurse is in charge of more than 9 patients during their shift in conventional units, the likelihood of a patient dying during admission increases by 19%; the profile of the patient who dies is over 73 years of age with a hospital stay of more than 15 days.11Dependency on nursing care and NSL are also associated with in-hospital mortality.14
Although the patient should be at the core of the healthcare system, another study showed that only variables linked to hospital organisation and management were associated with the distribution of patients, without considering any patient-specific variables.15 Therefore, we consider it essential to adjust the proportion of nurses to the real needs of patients, such as severity and levels of dependency, to provide quality and safety in patient care in the context of hospital management resource planning models. In other words, adjusting staffing levels not only based on the number of beds, but also on the condition of the people occupying them, factoring in other indicators such as the practice environment.
To conclude, when making decisions about human resources in our healthcare system, the distribution of patients should be based on their care dependency at various levels and not on other variables that do not really demonstrate the workload involved in delivering quality and safe care. Therefore, it is essential to reorganise health policies, placing the patient at the core and meeting their needs for comprehensive care with a care-centred approach.
全文翻译(仅供参考)
当前的 COVID-19 大流行进一步揭示了当今全球和西班牙医疗保健组织面临的护理需求和复杂性。护理复杂性已作为具有相互关联和相互依存要素的指标包含在机构结果分析中。在医院层面,护理复杂性的关键组成部分是医疗机构本身、护士和患者的护理依赖性。
这种情况令人担忧,预计到 2050 年西班牙将成为世界上大多数老龄化人口,65 岁以上人口从 16% 增加到 34%。
关于复杂性的前两个组成部分,组织因素影响医疗质量,特别是与医疗保健专业人员的工作氛围和工作满意度有关。2此外,确保根据对护理实践敏感的结果提供客观的优质护理,即,可以用一组具体的、定义的指标进行评估,这在今天仍然是一个重大挑战。
关于第三个组成部分,人口的护理依赖,我们正面临老龄化社会,预期寿命增加,这将导致急性和慢性疾病的进展。这种情况将导致在不久的将来住院的最依赖护理的人数增加。
在这种情况下,科学证据表明,护士的超负荷工作会导致院内不良事件和死亡率增加。因此,一个关键指标是每家医院的患者与护士比率,在英语文献中称为护理人员配备水平 (NSL),定义为每班或超过 24 小时工作的护士人数除以同一时期患者占用的床位。然而,尽管许多研究使用该系统来评估医院环境中的比率,因为它既简单又便宜,但它有一定的局限性;例如,它不考虑患者护理的状态和依赖程度。
迄今为止,确定医院中最佳的患者护士比例仍然是科学界面临的一个挑战。6 其中,艾肯博士的论文值得注意。它检查了医院的护士人员配备水平及其与死亡率等不良事件的关系。在她的研究中,她指出,每增加一名手术室护士的工作量,患者在住院期间存活的可能性就会降低 5%。7 此外,缺乏警惕会导致不良事件 (AE)和患者病情恶化,这是可以避免的,从而降低风险,并最大限度地提高临床安全性。因此,充足的人员配备水平会对医疗保健系统产生积极影响,并与降低发病率和死亡率以及成本有关。
在医院环境中发生的一些 AE 与住院期间的并发症直接相关,增加了住院时间,甚至导致死亡。根据“与住院相关的不良事件西班牙国家研究”,不良事件的总体发生率估计为 11.6%,这些事件导致的死亡率为 4.4%。
院内死亡率通常用作评估医院护理质量的指标,因为它可以根据不同医院数据库中记录的数据轻松计算。事实上,当一个中心的死亡率很高时,它被认为是反映不良护理的标志。因此,在大约 50% 的死亡发生在一个地区的医院中,大约 10% 的死亡增加可能是由于缺乏有效和安全的护理。
因此,我们必须通过分析其所有组成部分来确定影响并从而改善医疗保健的变量来解决护理复杂性问题。入住地区医院常规病房的患者平均年龄为 76 岁或以上,受过初级教育。11
在护士与患者的比例方面,西班牙最近进行的一项研究显示,轮班期间每个护士平均有 11 名患者。11 该数字与 RN4CAST 研究中获得的数据相似,该研究发现欧洲医院的平均比例为每位护士 8.3 名患者,西班牙是比例最高的国家。7, 12 这个数字在夜班期间有所增加,达到 32 名患者。有数据表明,在夜班期间,患者护理的风险更大,因为某些认知能力和基于力量的表现能力受损。
这种情况意味着不良事件风险增加,患者护理质量下降。在这项研究之后,西班牙通过了一项关于确保医疗中心和其他环境中患者安全的护士比率法案,该法案规定每个护士最多分配 6 名患者,例外情况下分配 8 名患者,并且这种分配应考虑以下条件:患者、单位和班次。
这些数字可能是正确的,因为当护士在常规病房轮班期间负责超过 9 名患者时,患者在入院期间死亡的可能性会增加 19%;死亡患者的情况是 73 岁以上,住院时间超过 15 天。11对护理和 NSL 的依赖也与院内死亡率有关。
虽然患者应该是医疗保健系统的核心,但另一项研究表明,只有与医院组织和管理相关的变量与患者分布相关,而没有考虑任何患者特定的变量。
因此,我们认为有必要调整在医院管理资源规划模型的背景下,护士与患者实际需求的比例,例如严重程度和依赖程度,以提供质量和安全的患者护理。换句话说,调整人员编制不仅要根据床位数量,还要根据占用人的情况,还要考虑实践环境等其他指标。
总而言之,在我们的医疗保健系统中做出有关人力资源的决策时,患者的分布应该基于他们在各个级别的护理依赖,而不是其他变量,这些变量不能真正证明提供高质量和安全护理所涉及的工作量。因此,必须重组卫生政策,将患者置于核心位置,并通过以护理为中心的方法满足他们对综合护理的需求。
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