Spanish version of the Heart Failure Somatic Perception Scale (HFSPS v.3) - psychometric properties

Background

The Heart Failure Somatic Perception Scale (HFSPS) is an instrument that examine the existence and gravity of physical signs and symptoms in patients with heart failure, as well as early and subtle symptoms of HF that have clinical value, we aimed to translate and adapt the HFSPS from English to Spanish and evaluate the psychometric properties.

Method

HFSPS translation and back translation were carried out according to the method established by of Beaton et al. A confirmatory factor analysis (CFA) was performed to test the factor structures. To assess criterion-related validity, HFSPS factor scores were correlated with Kansas City Cardiomyopathy Questionnaire (KCCQ) scores using the Spearman correlation method. The reliability of the internal consistency of the HFSPS was determined by calculating the Cronbach's alpha coefficient and the factor score determination coefficient.

Results

Data from 173 patients with a mean age of 80.7 years (SD 9.1), women (51.1%), were analyzed. The majority (74.7%) were NYHA class II/III. The confirmatory factor analysis of four factors after eliminating one item showed fit indices close to the recommended indices: χ2 = 169.237, p < 0.001, CFI = 0.920, TLI = 0.901, RMSEA = 0.057 and SRMR = 0.061. Regarding the validity related to the criterion, all the scores of the HFSPS dimensions were correlated with all the scores of the KCCQ dimensions and were statistically significant. The reliability of the HFSPS factors of the coefficient of determination obtained scores of 0.73 for the dyspnea factor and early and subtle and lower for edema and chest discomfort with fewer items. Cronbach's alpha was acceptable for three of the scales >0.71 and poor 0.52 for chest discomfort with two items. The internal consistency index based on the model was 0.850.

Conclusion

The Spanish version of the HFSPS is a valid and reliable instrument that that would be feasible to use in clinical and research setting to evaluate in the perception of symptoms in patients with heart failure.

Predictive potential of SARS-CoV-2 RNA concentration in wastewater to assess the dynamics of COVID-19 clinical outcomes and infections

Coronavirus disease 2019 - caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) -, has triggered a worldwide pandemic resulting in 665 million infections and over 6.5 million deaths as of December 15, 2022. The development of different epidemiological tools have helped predict new outbreaks and assess the behavior of clinical variables in different health contexts. In this study, we aimed to monitor concentrations of SARS-CoV-2 in wastewater as a tool to predict the progression of clinical variables during Waves 3, 5, and 6 of the pandemic in the Spanish city of Xátiva from September 2020 to March 2022. We estimated SARS-CoV-2 RNA concentrations in 195 wastewater samples using the RT-PCR Diagnostic Panel validated by the Center for Disease Control and Prevention. We also compared the trends of several clinical variables (14-day cumulative incidence, positive cases, hospital cases and stays, critical cases and stays, primary care visits, and deaths) for each study wave against wastewater SARS-CoV-2 RNA concentrations using Pearson's product-moment correlations, a two-sided Mann-Whitney U test, and a cross-correlation analysis. We found strong correlations between SARS-CoV-2 concentrations with 14-day cumulative incidence and positive cases over time. Wastewater RNA concentrations showed strong correlations with these variables one and two weeks in advance. There were significant correlations with hospitalizations and critical care during Wave 3 and Wave 6; cross-correlations were stronger for hospitalization stays one week before during Wave 6. No association between vaccination percentages and wastewater viral concentrations was observed. Our findings support wastewater SARS-CoV-2 concentrations as a potential surveillance tool to anticipate infection and epidemiological data such as 14-day cumulative incidence, hospitalizations, and critical care stays. Public health authorities could use this epidemiological tool on a similar population as an aid for health care decision-making during an epidemic outbreak.

Psychometric Validation of the Spanish Version of the Caregiver Contribution to Self-Care of Heart Failure Index ( CC-SCHFI)

Funding Acknowledgements

Type of funding sources: None.

Background

The Caregiver Contribution to Self-Care of Heart Failure Index (CC-SCHFI) is a theoretically driven instrument to measure the extent to which caregivers support Heart Failure ( HF) patients to perform self-care. The CC-SCHFI measures caregivers' contribution to the self-care maintenance and self-care management and caregiver confidence in contributing to heart failure patients, self-care. To date, the CC-SCHFI was never tested in Spanish speaking populations.

Purpose

To translate the CC-SCHFI from English into Spanish and to test its psychometric characteristics.

Method

CC-SCHFI translation and back-translation was performed according to the Beaton el al. Methodology. Data from a cross-sectional study conducted in an outpatient clinic in Spain were used for the analysis. Psychometric analysis was performed with Exploratory factor analysis (EFA) with oblique rotation. Cronbach’s alpha coefficient was used to test CC-SCHFI reliability.

Results

Caregivers had a mean age of 60,5 and the majority was female (85%) Data from 220 caregivers were analyzed. From EFA, using the principal axis factoring method, we extracted two factors in self-care maintenance subscale ("treatment adherence behaviors" and "symptom control and maintenance behaviors" factors) and self-care monitoring subscale ("Illness behaviors" and "Prevention behaviors" factors) and one factor for self-efficacy subscale. The Cronbach’s alpha coefficient was = 0.838)

Spanish Version of the Caregiver Contribution to Self-Care of Heart Failure Index (CC-SCHFI): A Psychometric Evaluation

Background: The Caregiver Contribution to Self-Care of Heart Failure (CC-SCHFI) is a theoretically driven instrument to measure the extent to which caregivers support heart failure (HF) patients to perform self-care. The CC-SCHFI measures caregivers’ contribution to self-care maintenance and self-care management and caregiver confidence in contributing to heart failure patients’ self-care. To date, the CC-SCHFI has never been tested in Spanish-speaking populations. Purpose: To translate the CC-SCHFI from English into Spanish and to test its psychometric characteristics. Method: CC-SCHFI translation and back-translation were performed according to the Beaton et al. methodology. Data from a cross-sectional study conducted in an outpatient clinic in Spain were used for the analysis. Psychometric analysis was performed with exploratory factor analysis (EFA) with oblique rotation. Results: Caregivers had a mean age of 60.5 years (SD 14,9) and the majority were female (85%). Data from 220 caregivers were analyzed. From EFA, using the principal axis factoring method, we extracted two factors in the self-care maintenance subscale (“treatment adherence behaviors” and “symptom control and maintenance behaviors”), two in the self-care monitoring subscale (“illness behaviors” and “prevention behaviors”) and one factor for the self-efficacy subscale. The Pearson’s rank correlation coefficients between SCHFI and CCSCHFI showed significant correlation in each subdimension.

Qualitative Analysis by Experts of the Essential Elements of the Nursing Practice Environments Proposed by the TOP10 Questionnaire of Assessment of Environments in Primary Health Care

Background: A short TOP10 scale based on the Practice Environment Scale-Nursing Work Index questionnaire measures the characteristics of nursing work environments. Positive environments result in better quality care and health outcomes. Objective: To identify a small number of core elements that would facilitate more effective interventions by nurse managers, and compare them with the essential elements proposed by the TOP10. Method: Qualitative research by a nominal group of eight experts. The content analysis was combined with descriptive data. Results: Ten most important items were selected and analyzed by the expert group. A high level of consensus in four items (2, 15, 20, 31) and an acceptable consensus in five items was reached (6, 11, 14, 18, 26). The tenth item in the top ten was selected from content analysis (19). The expert group agreed 90% with the elements selected as essential to the TOP10. Conclusion: The expert group achieved a high level of consensus that supports 90% of the essential elements of primary care settings proposed by the TOP10 questionnaire. Organizational changes implemented by managers to improve working environments must be prioritized following our results, so care delivery and health outcomes can be further improved.