The Paediatric Asthma Quality of Life Questionnaire (PAQLQ), developed by Juniper et al., assesses the impact of asthma on children's daily life. It contains 23 items, covering three dimensions: ...symptoms, activities limitation and emotional function. Aims: To develop an equivalent Spanish version of the PAQLQ, and to assess its measurement characteristics. Methods: The forward and back-translation method was used for the adaptation. A longitudinal study (assessments at the 1st and 5th weeks), with patients from the emergency and outpatient departments of three Spanish hospitals, was designed to test the properties of the new adapted version. At each visit, a trained interviewer administered the PAQLQ, a Global Index of Change and a General Health Perception scale. The Peak Expiratory Flow Rate (PEFR) was also recorded daily, together with symptoms, during the prior week. Results: Ninety-nine patients (66.7% males, 42.4% suffering an exacerbation, mean age of 11.3 years) with the following types of asthma were evaluated: mild intermittent (31.3%), mild persistent (36.4%), moderate persistent (29.3%) and severe persistent (3%). At the 1st visit, the mean pre-bronchodilator %PEFR was 87.3%. The Cronbach's α ranged from 0.86 to 0.95. As expected, correlations between the PAQLQ scores, and the Asthma Control Score (0.53-0.67), the General Health Perception (0.34-0.55), and the %PEFR (0.44-0.55) were moderate. The PAQLQ scores remained unchanged in stable patients while increased significantly in those showing improvements. Conclusions: After a standard cross-cultural adaptation process, the Spanish version of the PAQLQ has shown to be equivalent to the original, with similar internal consistency reliability, validity and sensitivity to clinical changes.
Abstract
Introduction
The present study investigates the courses of loneliness following the national state of emergency in Spain due to the COVID-19 pandemic, including a curfew due to a rise in ...COVID-19 cases, associated risk factors, and the effect of loneliness on symptoms of depression and anxiety.
Methods
Data of 2,000 adults in Spain which were interviewed by telephone at the first follow-up of the MINDCOVID project (February-March 2021) and of whom 953 were interviewed nine months later (November-December 2021) were analyzed. Group-based trajectories and mixed models were constructed.
Results
Three courses of loneliness were detected: (1) invariant low loneliness (42.6%), (2) decreasing medium loneliness (51.5%), and (3) fairly invariant high loneliness (5.9%). Loneliness courses were associated with the severity and variability of symptoms of depression and anxiety. In contrast to the majority of pre-pandemic studies, younger adults more frequently reported loneliness compared to middle-aged and, particularly, older individuals. Other risk factors for loneliness were being female, being unmarried, and, notably, having pre-pandemic mental disorders.
Conclusions
Future studies should validate whether the newly observed loneliness patterns across age groups persist and assess the evolution of loneliness courses and their impact on mental health, with particular attention given to young adults and individuals with pre-existing mental disorders.
Key messages
• In contrast to the majority of pre-pandemic studies, younger adults more frequently reported loneliness compared to middle-aged and, particularly, older individuals.
• Risk factors for loneliness were being female, being unmarried, and, notably, having pre-pandemic mental disorders.
Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty in risk assessment may ...contribute to ineffective care. Clinical Decision Support Systems (CDSSs) show promise in enhancing care processes, but their effective implementation in self-harm management remains unexplored.
PERMANENS comprises a combination of methodologies and study designs aimed at developing a CDSS prototype that assists clinicians in the personalized assessment and management of ED patients presenting with self-harm. Ensemble prediction models will be constructed by applying machine learning techniques on electronic registry data from four sites, i.e., Catalonia (Spain), Ireland, Norway, and Sweden. These models will predict key adverse outcomes including self-harm repetition, suicide, premature death, and lack of post-discharge care. Available registry data include routinely collected electronic health record data, mortality data, and administrative data, and will be harmonized using the OMOP Common Data Model, ensuring consistency in terminologies, vocabularies and coding schemes. A clinical knowledge base of effective suicide prevention interventions will be developed rooted in a systematic review of clinical practice guidelines, including quality assessment of guidelines using the AGREE II tool. The CDSS software prototype will include a backend that integrates the prediction models and the clinical knowledge base to enable accurate patient risk stratification and subsequent intervention allocation. The CDSS frontend will enable personalized risk assessment and will provide tailored treatment plans, following a tiered evidence-based approach. Implementation research will ensure the CDSS' practical functionality and feasibility, and will include periodic meetings with user-advisory groups, mixed-methods research to identify currently unmet needs in self-harm risk assessment, and small-scale usability testing of the CDSS prototype software.
Through the development of the proposed CDSS software prototype, PERMANENS aims to standardize care, enhance clinician confidence, improve patient satisfaction, and increase treatment compliance. The routine integration of CDSS for self-harm risk assessment within healthcare systems holds significant potential in effectively reducing suicide mortality rates by facilitating personalized and timely delivery of effective interventions on a large scale for individuals at risk of suicide.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Background: The EQ-5D questionnaire is an instrument for describing and valuing health states. Objectives: To compare general population health status measured by the EQ-5D in 6 European countries. ...Methods: In the European Study of the Epidemiology of Mental Disorders representative population samples in Belgium (n = 2411), France (n = 2892), Germany (n = 3552), Italy (n = 4709), the Netherlands (n = 2367), and Spain (n = 5473) completed the EQ-5D as part of personal computer-based home interviews in 2001 to 2003. Results: Of all respondents, 35.1% reported problems in one or more EQ-5D dimensions, most frequently pain/discomfort (28.5%), followed by mobility (13.6%), usual activities (10.5%), anxiety/depression (8.0%), and self-care (3.6%). Proportions of respondents reporting any problems differed significantly between countries, ranging from 26.6% in Spain to 44.5% in France. Mean EQ VAS score was 77.1, ranging from 75.0 in Spain to 82.0 in the Netherlands. After adjusting for sociodemographic variables, the proportion of respondents reporting problems in any of the EQ-5D dimensions was significantly higher in France and lower in Spain and Italy than the grand mean. Even after controlling for reported EQ-5D health states, mean EQ VAS scores were significantly higher in the Netherlands and lower in Spain than the grand mean. Age, female gender, low educational level, lack of paid employment, and low income were associated with more problems in most of the EQ-5D dimensions and lower EQ VAS scores. Conclusions: Self-reported EQ-5D health status differed considerably between countries, calling for caution when making international comparisons of disease burden and health care effectiveness.
Abstract Objectives To propose a multidimensional item response theory (MIRT) scoring system for the Short Form 12 (SF-12) with good psychometric properties in terms of fit and reliability. Study ...Design and Settings Two models, indicating physical (PCS) and mental component summary (MCS) dimensions, were fitted to SF-12 data from the European Study of the Epidemiology of Mental Disorders, a representative sample from European adult general population ( n = 21,425; response rate = 61.2%). Goodness of fit, information, reliability, and agreement of individual scores were compared with the classical SF-12 and RAND-12 algorithms. Results The bidimensional response process (BRP) model, where all items are indicators of both dimensions, yielded the best fit (root mean square error of approximation = 0.057, comparative fit index = 0.95, and Tucker–Lewis index = 0.94), and highly agreed with PCS and MCS scores from the SF-12 (intraclass correlation coefficients of 0.92 and 0.88, respectively) and RAND-12 (0.88 and 0.95). Regarding reliability, the BRP yielded 0.75 and 0.77 (PCS and MCS, respectively), greater than SF-12 (0.65 and 0.66) and RAND-12 (0.65 and 0.67). As indicated by scale linking, MIRT scores can be interpreted similarly to the classical scores. Conclusion The MIRT models showed a clear construct structure for the PCS and MCS dimensions, defined by functional and role limitation content. Results support the use of SF-12 MIRT-based scores as a valid and reliable option to assess health status.
Few studies have addressed the health-related quality of life (HRQL) impact of bereavement. The objective of this study was to evaluate the HRQL of the main caregiver after the death of a close ...elderly relative. 142 caregivers were invited to participate in a phone interview with the SF-36. General population SF-36 norms were used to calculate the gender and age standardised physical component summary (PCS) and mental component summary (MCS) scores. A MCS below 43 was used as an indicator of possible depression. Databases of several patient studies were additionally used to facilitate interpretation of results. 130 caregivers (91.5%) participated, the majority being women (80%), middle aged (56 years), and the spouse (22%) or son/daughter (56%) of the deceased person. Caregivers' SF-36 scores were lower than expected for mental health, role emotional and social functioning. Their MCS was below that expected by 0.6 SD units, whereas their PCS was above by 0.2 SD. The proportion of caregivers with possible depression was 33.8%. First-degree family relationship with the deceased (OR = 4.5), and lower age of the deceased (OR = 3.8) were significantly associated (p < 0.02) to a possible depression. The recent death of an elderly person is associated with significant emotional health impact on the caregiver.
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