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.

Background: The Nursing Interventions Classification allows the systematic organisation of care treatments performed by nurses, and an estimation of the time taken to carry out the intervention is included in its characteristics. The aim of this study is to explore the evidence related to the use of the Nursing Interventions Classification in identifying and measure nurses’ workloads. Methods: A scoping review was conducted through a search of the databases Ovid Medline, PubMed, Web of Science, CINAHL, Scopus, LILACS and Cuiden. The DeCS/MeSH descriptors were: “Standardized Nursing terminology” and “Workload”. The search was limited to articles in Spanish, English and Portuguese. No limits were established regarding year of publication or type of study. Results: Few reports were identified (n = 8) and these had methodological designs that contributed low levels of evidence. Research was focused on identifying specific interventions, types of activities, the prevalence of interventions and the time required to perform them. Conclusions: The evidence found on determination of nurses’ workloads using the Nursing Interventions Classification was inconclusive. It is essential to increase the number of reports, as well as the settings and clinical context in which the Nursing Interventions Classification is used, with greater quality and methodological rigour.

PURPOSE: To estimate the prevalence of Grieving, risk for Complicated Grieving, and Complicated Grieving in the primary care setting. METHODS: Retrospective epidemiological study, analyzing data from electronic health records (EHR). FINDINGS: A total of 84% of the 9,063 records had diagnostic labels without defining characteristics, related factors, or risk factors. A larger frequency of complicated grieving was found in deceased mourners. CONCLUSIONS: The grieving epidemiology opens new chances for the research using data from EHR. PRACTICE IMPLICATIONS: The adequacy of the records is essential to develop a profile of the patient at risk of complications after the loss. This research is an important step to build an epidemiological basis for nursing diagnosis of grieving in the primary health care setting.

Diabetic retinopathy (DR) is one of the complications of diabetes mellitus (DM), with macular oedema being one of the leading causes of avoidable blindness among individuals with DM worldwide. Fundus screening is the only method for early detection and treatment. High-quality training programmes for professionals performing primary care screening are essential to produce high-quality images that facilitate accurate lesion identification. This is a two-phase observational, descriptive, and cross-sectional study. The first phase analysed DR knowledge in a sample of nurses. The second phase explored agreement on DR screening between referral ophthalmologists in image assessment (gold standard) and a small group of nurses involved in the previous phase. In phase 1, the agreement rate for screening results was 90%. In phase 2, the overall raw agreement on the screening of fundus photography results between nurses and ophthalmologists was 75% (Cohen’s kappa = 0.477; p < 0.001). Agreement on screening with ophthalmologists was moderate, suggesting that implementing a specific training programme for nurse-led imaging screening would help develop this competence among nurses, ensuring a good level of agreement and patient safety and adding value for users, and also for the sustainability of the healthcare system. This study was not registered.

PURPOSE: To determine the psychometric properties of the CoNOCidiet-Diabetes, a new instrument based on nursing outcome “Knowledge: prescribed diet.” METHODS: Methodological design. The participant were 359 patients diagnosed with diabetes visiting 27 primary healthcare centers in Spain. Reliability (internal consistency and test-retest), validity (convergent criterion validity, concurrent content validity and known-groups validity), and sensitivity to change was tested. FINDINGS: CoNOCidiet-Diabetes has shown evidence of acceptable psychometric properties as instrument but some items should be revised. CONCLUSIONS: This research provides a new instrument developed to specifically measure dietary knowledge in individuals with diabetes. IMPLICATIONS: For nursing practice: The literalness of the CoNOCidiet-Diabetes with the nursing outcome “Knowledge: prescribed diet” facilitate its measurement using the patient's statements.

Background/Objectives: Unwanted loneliness is the gap between the social relations a person has and those they want. The main objective of this research is to assess the impact of a multidimensional community-based intervention on the feeling of unwanted loneliness in the population over the age of 65 years old who live alone, are under social risk, or are socially isolated living on La Palma island. Methods: A quasi-experimental study was designed with pre- and post-intervention (at three months) measurements, with no control group or randomization. A sample comprising 90 subjects was estimated for a small–moderate (0.3) or large (0.8) effect size, with a significance level (α) of 0.05 and a power (1 − β) of 0.8. Results: The intervention was initiated with 90 participants in 8 of the 9 Basic Health Districts from the La Palma Health Area. A moderate effect size (d = −0.77; 95%CI [−1.02, −0.52]) was evidenced in self-perceived loneliness. Three months after the proposed community-based intervention, significant differences were evidenced in adequate eating habits, physical activity, support network, anxiety, depression, and perceived social support. Conclusions: Compartiendo Salud (Sharing Health) presents promising results, as it exerts positive effects on health management among older adults that live alone. The results of this intervention could serve as a model to design replicable strategies in other communities, improving the quality of life and levels of perceived social support in older adults.