Impact of the COVID-19 pandemic on the self-care and health condition of the older adults. CUIDAMOS+75. A mixed methods study protocol.

Aims: To assess the impact of the COVID-19 pandemic on the health condition of people ≥75 years of age and on their family caregivers in Spain. Design: Multicentric, mixed method concurrent study. Methods: This work, which will be conducted within the primary care setting in 11 administrative regions of Spain, will include three coordinated studies with different methodologies. The first is a population-based cohort study that will use real-life data to analyze the rates and evolution of health needs, care provision, and services utilization before, during, and after the pandemic. The second is a prospective cohort study with 18 months of follow-up that will evaluate the impact of COVID-19 disease on mortality, frailty, functional and cognitive capacity, and quality of life of the participants. Finally, the third will be a qualitative study with a critical social approach to understand and interpret the social, political, and economic dimensions associated with the use of health services during the pandemic. We have followed the SPIRIT Checklist to address trial protocol and related documents. This research is being funded by the Instituto de Salud Carlos III since 2021 and was approved by its ethics committee (June 2022). Discussion: The study findings will reveal the long-term impact of the COVID-19 pandemic on the older adults and their caregivers. This information will serve policymakers to adapt health policies to the needs of this population in situations of maximum stress, such as that produced by the COVID-19 pandemic. Trial Registration: Identifier: NCT05249868 [ClinicalTrials.gov].

Psychometric properties of the Spanish version of the Health of Nation Outcome Scales for schizophrenia patients.

Accessible Summary What is known on the subject? Functioning is one of the most affected areas in schizophrenia. Social, occupational and personal domains are affected, and these deficits are responsible for a major part of the disability associated with the disorder. There are several instruments to measure functioning, but the HoNOS provides a wide assessment of impairment in 12 areas of functioning. What does the paper add to existing knowledge? The Spanish version of the HoNOS shows good properties in terms of reliability and validity for use in schizophrenia patients. Although some authors divide the scale according to proposed underlying dimensions, in schizophrenia this division may not be appropriate. What are the implications for practice? A reliable and easy-to-use measure of impairment in different areas of functioning is useful for optimizing the treatment and rehabilitation of patients with schizophrenia. ABSTRACT: INTRODUCTION: The HoNOS scale was designed for the assessment of psychosocial impairment in various domains. While it is widely used in psychiatric settings, it has not been validated in Spanish for use in patients with schizophrenia. AIM: To examine the psychometric properties of the Spanish version of the HoNOS scale in a sample of schizophrenia patients. METHOD: A total of 194 individuals aged 18 to 65 with schizophrenia spectrum diagnoses were evaluated using the HoNOS. Illness severity and level of functioning were also assessed. RESULTS: The HoNOS showed moderate internal consistency, good inter-observer reliability and good test-retest reliability. Factor analysis revealed an internal structure consisting of four factors, with item distribution differing from the theoretical dimensions proposed for the original scale. DISCUSSION: The Spanish version of the HoNOS scale is a reliable and valid instrument for assessing psychosocial impairment in individuals diagnosed with schizophrenia spectrum disorders. However, further research is needed to determine its internal structure more accurately. IMPLICATIONS FOR PRACTICE: The HoNOS scale provides researchers and clinicians with a valid measure of impairment in twelve different domains, which can facilitate and guide the treatment of schizophrenia patients.

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study.

BACKGROUND AND HYPOTHESIS: The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potential use of fingerprints as risk markers in schizophrenia. However, the high complexity of fingerprints geometrical patterns may require flexible algorithms capable of characterizing such complexity. STUDY DESIGN: Based on an initial sample of scanned fingerprints from 612 patients with a diagnosis of non-affective psychosis and 844 healthy subjects, we have built deep learning classification algorithms based on convolutional neural networks. Previously, the general architecture of the network was chosen from exploratory fittings carried out with an independent fingerprint dataset from the National Institute of Standards and Technology. The network architecture was then applied for building classification algorithms (patients vs controls) based on single fingers and multi-input models. Unbiased estimates of classification accuracy were obtained by applying a 5-fold cross-validation scheme. STUDY RESULTS: The highest level of accuracy from networks based on single fingers was achieved by the right thumb network (weighted validation accuracy = 68%), while the highest accuracy from the multi-input models was attained by the model that simultaneously used images from the left thumb, index and middle fingers (weighted validation accuracy = 70%). CONCLUSION: Although fitted models were based on data from patients with a well established diagnosis, since fingerprints remain lifelong stable after birth, our results imply that fingerprints may be applied as early predictors of psychosis. Specially, if they are used in high prevalence subpopulations such as those of individuals at high risk for psychosis.

Psychometric Properties of Self-Care Requisites Scale (SCRS-h) in Hospitalized Patients Diagnosed With Schizophrenia.

PURPOSE: The purpose of this study was to adapt the community version of the Self-Care Requisites Scale so as to be able to use it in a hospital context and to validate the new version in patients with schizophrenia. DESIGN AND METHODS: An initial phase was conducted to develop the questionnaire by means of a panel of experts. The validation of the psychometric properties was conducted using a sample of 264 patients. FINDINGS: The new version showed good internal consistency and stability over time. The confirmatory factor analysis showed that the theoretical model fit the self-care requisites proposed in Orem's nursing theory from which it was drawn. PRACTICE IMPLICATIONS: The new version is a valid and reliable instrument for use in clinical practice.

A retrospective study of nursing diagnoses, outcomes, and interventions for patients with mental disorders.

AIM: The aim of this study is to describe the most frequent NANDA-I nursing diagnoses, NOC outcomes, and NIC interventions used in nursing care plans in relation to psychiatric diagnosis. BACKGROUND: Although numerous studies have described the most prevalent NANDA-I, NIC and NOC labels in association with medical diagnosis in different specialties, only few connect these with psychiatric diagnoses. METHODS: This multicentric cross-sectional study was developed in Spain. Data were collected retrospectively from the electronic records of 690 psychiatric or psychogeriatric patients in long and medium-term units and, psychogeriatric day-care centres. RESULTS: The most common nursing diagnoses, interventions and outcomes were identified for patients with schizophrenia, organic mental disorders, mental retardation, affective disorders, disorders of adult personality and behavior, mental and behavioural disorders due to psychoactive substance use and neurotic, stress-related and somatoform disorders. CONCLUSION: Results suggest that NANDA-I, NIC and NOC labels combined with psychiatric diagnosis offer a complete description of the patients' actual condition.