Brito-Brito Pedro-Ruymán, Rodríguez-Álvaro Martín, Fernández-Gutiérrez Domingo-Ángel, Martínez-Alberto Carlos-Enrique, Cabeza-Mora Antonio, García-Hernández Alfonso-Miguel
Nursing Department, Faculty of Healthcare Sciences, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain.
Canary Islands Research Group on Nursing Taxonomies (CARECAN), 38200 Santa Cruz de Tenerife, Spain.
Healthcare (Basel). 2022 Dec 12;10(12):2512. doi: 10.3390/healthcare10122512.
The information logged by nurses on electronic health records (EHRs) using standardised nursing languages can help us identify the characteristics of highly complex chronic patients (HCCP) by focusing on care in terms of patients' health needs. The aim of this study was to describe the profile of HCCPs using EHRs from primary care (PC) facilities, presenting patients' characteristics, functional status based on health patterns, NANDA-I nursing diagnoses, health goals based on Nursing Outcomes Classification (NOC), and care interventions using Nursing Interventions Classification (NIC). With an observational, descriptive, cross-sectional, epidemiological study design, this study was carried out with a sample of 51,374 individuals. The variables were grouped into sociodemographic variables, clinical variables, resources, functional status (health patterns), nursing diagnoses, outcomes, and interventions. A total of 57.4% of the participants were women, with a mean age of 73.3 (12.2), and 51% were frail or dependent. Prevalent conditions included high blood pressure (87.2%), hyperlipidaemia (80%), osteoarthritis (67.8%), and diabetes (56.1%). The participants were frequent users of healthcare services, with 12.1% admitted to hospital in the past year. Some 49.2% had one to four health patterns assessed, with more information on biological and functional aspects than on psychosocial aspects. The mean number of nursing diagnoses was 7.3 (5.2), NOC outcomes 5.1 (4.1), and NIC interventions 8.1 (6.9). Moderately and highly significant differences were observed between dysfunction in physical activity/exercise health pattern and age group, and between dysfunction in other health patterns and classification as a frail or dependent elderly person. Regarding the presence of certain nursing diagnoses, significant differences were observed by age group, classification of elderly person status, and presence of diseases. A total of 20 NIC interventions showed moderately or relatively strong associations for older age groups, higher levels of dependency, and chronic health conditions.
护士使用标准化护理语言在电子健康记录(EHR)中记录的信息,通过关注患者健康需求方面的护理,有助于我们识别高度复杂慢性病患者(HCCP)的特征。本研究的目的是利用基层医疗(PC)机构的EHR描述HCCP的概况,呈现患者特征、基于健康模式的功能状态、北美护理诊断协会(NANDA - I)护理诊断、基于护理结局分类(NOC)的健康目标以及使用护理干预分类(NIC)的护理干预措施。采用观察性、描述性、横断面、流行病学研究设计,本研究以51374名个体为样本进行。变量分为社会人口统计学变量、临床变量、资源、功能状态(健康模式)、护理诊断、结局和干预措施。共有57.4%的参与者为女性,平均年龄为73.3岁(标准差12.2),51%为体弱或依赖他人者。常见疾病包括高血压(87.2%)、高脂血症(80%)、骨关节炎(67.8%)和糖尿病(56.1%)。参与者是医疗服务的频繁使用者,过去一年中有12.1%的人住院。约49.2%的人有一至四种健康模式得到评估,关于生物和功能方面的信息多于心理社会方面。护理诊断的平均数量为7.3(标准差5.2),NOC结局为5.1(标准差4.1),NIC干预措施为8.1(标准差6.9)。在身体活动/锻炼健康模式功能障碍与年龄组之间,以及其他健康模式功能障碍与体弱或依赖老年人分类之间,观察到中度和高度显著差异。关于某些护理诊断的存在情况,在年龄组、老年人状态分类和疾病存在情况方面观察到显著差异。共有20项NIC干预措施在老年人群体、更高程度的依赖和慢性健康状况方面显示出中度或相对较强的关联。