The role of digital tools and emerging devices in COVID-19 contact tracing during the first 18 months of the pandemic: a systematic review.

BACKGROUND: Contact tracing is a public health intervention implemented in synergy with other preventive measures to curb epidemics, like the coronavirus pandemic. The development and use of digital devices have increased worldwide to enhance the contact tracing process. The aim of the study was to evaluate the effectiveness and impact of tracking coronavirus disease 2019 (COVID-19) patients using digital solutions. METHODS: Observational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported. RESULTS: Over 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies. CONCLUSIONS: DCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries' emergency preparedness for future health crises.

Identification of methodological issues regarding direct impact indicators of COVID-19: a rapid scoping review on morbidity, severity and mortality.

BACKGROUND: During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers. METHODS: We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe. RESULTS: After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%). CONCLUSIONS: The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations.

Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies.

BACKGROUND: Estimating the risks and impacts of COVID-19 for different health groups at the population level is essential for orienting public health measures. Adopting a population-based approach, we conducted a systematic review to explore: (1) the etiological role of multimorbidity and frailty in developing SARS-CoV-2 infection and COVID-19-related short-term outcomes; and (2) the prognostic role of multimorbidity and frailty in developing short- and long-term outcomes. This review presents the state of the evidence in the early years of the pandemic. It was conducted within the European Union Horizon 2020 program (No: 101018317); Prospero registration: CRD42021249444. METHODS: PubMed, Embase, World Health Organisation COVID-19 Global literature on coronavirus disease, and PsycINFO were searched between January 2020 and 7 April 2021 for multimorbidity and 1 February 2022 for frailty. Quantitative peer-reviewed studies published in English with population-representative samples and validated multimorbidity and frailty tools were considered. RESULTS: Overall, 9,701 records were screened by title/abstract and 267 with full text. Finally, 14 studies were retained for multimorbidity (etiological role, n = 2; prognostic, n = 13) and 5 for frailty (etiological role, n = 2; prognostic, n = 4). Only short-term outcomes, mainly mortality, were identified. An elevated likelihood of poorer outcomes was associated with an increasing number of diseases, a higher Charlson Comorbidity Index, different disease combinations, and an increasing frailty level. DISCUSSION: Future studies, which include the effects of recent virus variants, repeated exposure and vaccination, will be useful for comparing the possible evolution of the associations observed in the earlier waves.

Associated factors for fear of COVID-19 scale in long-term care settings in Spain.

OBJECTIVE: To examine the relationship between the Fear of COVID-19 Scale (FCV-19S) score and sociodemographic, health, emotional and behavioural factors, in a cross-sectional observational study in 447 older adults living in long-term care (LTC) settings in Madrid (Spain). METHODS: The sample was stratified by nursing home ownership, geographical location, and size. Multiple linear regression analysis was used using backward elimination to identify factors that explained associations with fear, and logistic regression models were used to examine its role as a predictor of adherence to preventive measures. RESULTS: The mean age of the participants was 83.8 years, most were female, had had COVID-19, and were worried about the pandemic. The average score of the FCV-19S was 18.36 (SD: 8.28; range: 7-35), and the variables associated in the multiple linear regression model (explained variance: 34.00%) were being female, lower level of education, satisfaction with life and the residential home, and higher worry about the pandemic. The logistic regression models showed that fear of COVID-19 was a predictor of adherence to preventive measures like wearing facemasks, washing hands, and avoiding physical contact. CONCLUSIONS: fear of COVID-19 was significantly related with sex and subjective factors as life satisfaction and worry; and it influences older people's preventive behaviour. Interventions aimed at reducing fear and promoting adherence to preventive measures would improve their mental health and well-being.

Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks.

PURPOSE: Preference-based measures are valuable tools for evaluating therapeutic interventions and for cost-effectiveness studies. Mapping procedures are useful when it is not possible to collect these kind of measures. The objective of this study was to evaluate which mapping method is the most appropriate to estimate the EQ-5D-5L index from the Spanish National Health Survey functional disability scale. METHODS: The sample, formed by 5708 older adults (aged 65 years or older), was drawn from the Spanish National Health Survey ("Encuesta Nacional de Salud en España," ENSE in Spanish 2011-2012). The predictions of EQ-5D-5L index were performed with response mapping using Bayesian network (BN), ordered logit (Ologit), and multinomial logistic (ML). The following direct methods were used: ordinary least squares (OLS) and Tobit regression. The intraclass correlation coefficient (ICC), absolute error (MAE), mean squared error (MSE), and root-mean squared error (RMSE) were calculated to compare all models. The predictions of response models were obtained through the expected value method. RESULTS: BN model showed the highest ICC (0.756, 95% confidence interval, CI 0.733-0.777) and lowest MAE (0.110, 95% CI 0.104-0.115). OLS was the model with worse accuracy results with lowest ICC (0.621, 95% CI 0.553-0.681) and highest MAE (0.159, 95%CI: 0.145-0.173). CONCLUSION: Indirect mapping methods (BN, Ologit, and ML) had a better accuracy than the direct methods. The response mapping approach provides a robust method to estimate EQ-5D-5L scores from the functional disability scale.

Psychometric Evaluation of the Spanish Families Importance in Nursing Care: Nurses' Attitudes Scale Through Classical Test Theory and Rasch Analysis.

Nurses' attitudes toward families play an important role in improving relationships with patients' families. It is essential to have valid and reliable instruments to assess nurses' attitudes toward involving families. The aim of this study was to analyze the psychometric properties of the refined Spanish version of the Families' Importance in Nursing Care-Nurses' Attitudes (FINC-NA) according to classical test theory and the Rasch model (N = 263). Cronbach's alpha values were .73 to .87 and intraclass correlation coefficients ranged from .72 to .86. Rasch analysis results suggested that it was a multidimensional scale with four dimensions and a simpler response scheme than the original scale. Except for one item, the scale was free from bias regarding age and experience time. The FINC-NA is a reliable and valid measure showing a good fit to the Rasch model and is ready to map nurses' attitudes and measure the effectiveness of family nursing educational interventions.

Trends in COVID-19 Vaccine Acceptance in Spain, September 2020‒May 2021.

Objectives. To analyze factors associated with COVID-19 vaccine acceptance in Spain, over time. Methods. We used data from a national study that included 5 online surveys carried out every 2 months from September 2020 to May 2021. Each round recruited a sample of 1000 participants aged 18 years or older. We performed a multivariable logistic regression with vaccination acceptance as the dependent variable. We evaluated time trends through the interaction terms of each of the explanatory variables and the time. Results. Vaccination acceptance increased from 43.1% in September 2020 to 84.5% in May 2021. Sex, age, concerns about disease severity, health services overload, and people not wearing a face mask, together with adherence to preventive behavior, health literacy, and confidence in scientists, health care professionals' information, and adequacy of governmental decisions, were variables associated with vaccination acceptance. Conclusions. In a changing situation, vaccine acceptance factors and time trends could help in the design of contextualized public health messages. It is important to strengthen the population's trust in institutions, health care professionals, and scientists to increase vaccination rates, as well as to ensure easy access to accurate information for those who are more reluctant. (Am J Public Health. 2022;112(11):1611-1619. https://doi.org/10.2105/AJPH.2022.307039).

Measuring COVID-19 health literacy: validation of the COVID-19 HL questionnaire in Spain.

BACKGROUND: The COVID-19 pandemic has highlighted the importance of health literacy to make informed preventive decisions. A specific COVID-19 health literacy questionnaire (CHL-Q) is included in the COVID-19 Snapshot Monitoring WHO initiative to conduct behavioral insights studies related to COVID-19. The objective was to assess the psychometric properties of a Spanish version of the COVID-19 Health Literacy Questionnaire (CHL-Q). METHODS: Data quality, acceptability, internal consistency, and construct and structural validity were analyzed. A Rasch analysis was also performed. This cross-sectional, observational study was conducted on the Spanish general population after the first wave of the pandemic and after the end of the general lockdown by an online survey agency. 1033 participants (inclusion criteria were being 18 years or older and living in Spain), was extracted from a panel of approximately 982,000 participants. The sampling was stratified matching the Spanish general population in terms of age, gender, and area of residence. The CHL-Q includes 9 items and assesses people's knowledge, motivation and competencies to access, understand, evaluate, and apply information about COVID-19 in order to make informed decisions. RESULTS: CHL-Q index presented a mean of 33.89 (SD = 9.4), and good fit to the Rasch model (χ2(32) = 34.672, p = 0.342, person separation index = 0.77), with ordered thresholds, unidimensionality, item local independence, and no item bias by sex, age or education level. The CHL-Q showed significant different scores by level of education, experience of infection, confusion related to COVID-19 information and adherence to preventive measures. We found a statistically significant correlation between the CHL-Q index and the total number of preventive measures adopted, COVID-19 knowledge, and information seeking behaviour. The Cronbach´s alpha was 0.87 and the item total corrected correlation, 0.49-0.68. CONCLUSIONS: The Spanish version of CHL-Q is a short, adequate, and reliable instrument to measure COVID-19 related health literacy in the Spanish general population. Measuring the CHL in the population can be useful to evaluate whether public authorities, media and the medical and scientific community have been able to reach the population to offer the information in the terms they need it.

Social relations and health in older people in Spain using SHARE survey data.

INTRODUCTION: Social relationships (SR) are an important aspect in the healthy ageing process. The study aimed to describe SR in over-50s in Spain and analyse their association with physical/emotional, functional and cognitive/sensory health variables. METHODS: The study sample was formed by 5583 people representing the Spanish population aged 50 and over, who participated in the sixth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE). The variables were divided into socio-demographic aspects and economic, health and SR aspects represented by the number of friends, family members and satisfaction with social network and the Revised UCLA loneliness scale. The health variables were grouped using a main component analysis. Multiple linear regressions were performed between the health components with socio-demographic and SR variables. RESULTS: 67.26% of respondents said they did not feel lonely. The feeling of loneliness was the variable most closely related to the physical and emotional, functional and cognitive and sensory health components. The main SR variable associated to health components was the Revised UCLA Loneliness Scale (standardised beta, p < 0.001; p < 0.001; and p < 0.001, respectively). The number of family members in social network SR variable was also associated with the physical/emotional health (ß = 0.09, p < 0.001) and cognitive/sensory ability (ß = 0.10, p = 0.001) components. CONCLUSIONS: The main SR aspect that impacts health status was loneliness. The results of this study suggest the importance of developing public health policies oriented to promoting action on the SR characteristics that enhance older people's health.

Behavioural insights and the evolving COVID-19 pandemic.

Behavioural sciences have complemented medical and epidemiological sciences in the response to the SARS-CoV-2 pandemic. As vaccination uptake continues to increase across the EU/EEA - including booster vaccinations - behavioural science research remains important for both pandemic policy, planning of services and communication. From a behavioural perspective, the following three areas are key as the pandemic progresses: (i) attaining and maintaining high levels of vaccination including booster doses across all groups in society, including socially vulnerable populations, (ii) informing sustainable pandemic policies and ensuring adherence to basic prevention measures to protect the most vulnerable population, and (iii) facilitating population preparedness and willingness to support and adhere to the reimposition of restrictions locally or regionally whenever outbreaks may occur. Based on mixed-methods research, expert consultations, and engagement with communities, behavioural data and interventions can thus be important to prevent and effectively respond to local or regional outbreaks, and to minimise socioeconomic and health disparities. In this Perspective, we briefly outline these topics from a European viewpoint, while recognising the importance of considering the specific context in individual countries.

Response Mapping Methods to Estimate the EQ-5D-5L From the Western Ontario McMaster Universities Osteoarthritis in Patients With Hip or Knee Osteoarthritis.

OBJECTIVES: The mapping technique can estimate generic preference-based measure scores through a specific measure that cannot be used in economic evaluations. This study compared 2 response mapping methods to estimate EQ-5D-5L scores using the Western Ontario McMaster Universities Osteoarthritis (WOMAC). METHODS: The sample consisted of 758 patients with the hip or knee osteoarthritis recruited in baseline. Bayesian networks (BN) and multinomial logistic regression (ML) were used as response mapping models. Predictions were obtained using the 6-month follow-up as a validation sample. The mean absolute error, mean squared error, deviation from the root mean squared error and intraclass correlation coefficient were calculated as precision measures. RESULTS: There was 5.5% of missing data, which was removed. The mean age was 69.6 years (standard deviation = 10.5), with 61.6% of women. The BN model presented lower mean absolute error, mean squared error, root mean squared error and higher intraclass correlation coefficient than the ML model. Only the WOMAC items pain and physical function items were related with the EQ-5D-5L dimensions. CONCLUSION: BN response mapping models are more robust methods, with better prediction results, than ML models. The BN model also provided a graphic representation of the dependency relationships between the EQ-5D-5L dimensions and the different WOMAC items that could be useful in the clinical investigation of patients with hip or knee osteoarthritis.

Thirty-day suicidal thoughts and behaviors among hospital workers during the first wave of the Spain COVID-19 outbreak.

BACKGROUND: Healthcare workers are a key occupational group at risk for suicidal thoughts and behaviors (STB). We investigated the prevalence and correlates of STB among hospital workers during the first wave of the Spain COVID-19 outbreak (March-July 2020). METHODS: Data come from the baseline assessment of a cohort of Spanish hospital workers (n = 5450), recruited from 10 hospitals just after the height of the coronavirus disease 2019 (COVID-19) outbreak (May 5-July 23, 2020). Web-based self-report surveys assessed 30-day STB, individual characteristics, and potentially modifiable contextual factors related to hospital workers' work and financial situation. RESULTS: Thirty-day STB prevalence was estimated at 8.4% (4.9% passive ideation only, 3.5% active ideation with or without a plan or attempt). A total of n = 6 professionals attempted suicide in the past 30 days. In adjusted models, 30-day STB remained significantly associated with pre-pandemic lifetime mood (odds ratio [OR] = 2.92) and anxiety disorder (OR = 1.90). Significant modifiable factors included a perceived lack of coordination, communication, personnel, or supervision at work (population-attributable risk proportion [PARP] = 50.5%), and financial stress (PARP = 44.1%). CONCLUSIONS AND RELEVANCE: Thirty-day STB among hospital workers during the first wave of the Spain COVID-19 outbreak was high. Hospital preparedness for virus outbreaks should be increased, and strong governmental policy response is needed to increase financial security among hospital workers.

Living with Chronic Illness Scale: International validation through the classic test theory and Rasch analysis among Spanish-speaking populations with long-term conditions.

BACKGROUND: The Living with Chronic Illness (LW-CI) Scale is a comprehensive patient-reported outcome measure that evaluates the complex process of living with long-term conditions. OBJECTIVE: This study aimed to analyse the psychometric properties of the LW-CI scale according to the classic test theory and the Rasch model among individuals living with different long-term conditions. DESIGN: This was an observational, international and cross-sectional study. METHODS: A total of 2753 people from six Spanish-speaking countries living with type 2 diabetes mellitus, chronic obstructive pulmonary disease, chronic heart failure, Parkinson's disease, hypertension and osteoarthritis were included. The acceptability, internal consistency and validity of the LW-CI scale were analysed using the classical test theory, and fit to the model, unidimensionality, person separation index, item local independency and differential item functioning were analysed using the Rasch model. RESULTS: Cronbach's α for the LW-CI scale was .91, and correlation values for all domains of the LW-CI scale ranged from .62 to .68, except for Domain 1, which showed correlation coefficients less than .30. The LW-CI domains showed a good fit to the Rasch model, with unidimensionality, item local independency and moderate reliability providing scores in a true interval scale. Except for two items, the LW-CI scale was free from bias by long-term condition type. DISCUSSION: After some adjustments, the LW-CI scale is a reliable and valid measure showing a good fit to the Rasch model and is ready for use in research and clinical practice. Future implementation studies are suggested. PATIENT AND PUBLIC CONTRIBUTION: Patient and public involvement was conducted before this validation study - in the pilot study phase.

Sexism and its associated factors among adolescents in Europe: Lights4Violence baseline results.

Despite the efforts of recent decades to reduce gender inequality, sexism is still prevalent among adolescents. The objective of this study was to identify the main socioeconomic characteristics, personal experiences, resources, and competencies associated with sexism in a sample of adolescents from different European countries. Baseline data from the Lights4Violence project included 1555 students ages 12-17 from secondary schools in six European countries (Spain, Italy, Romania, United Kingdom, Portugal, and Poland). Linear regression models were carried out, stratified by sex for benevolent (BS) and hostile (HS) dimensions of the Ambivalent Sexism Inventory. The average age of the sample was 14.3 years (SD = 1.5), 59.3% were girls. Boys scored higher on the measure of sexism (mean BS = 29.7; HS = 29.1) than girls (BS = 27.5, HS = 23.0; p < .001). Girls whose mothers had a university degree reported lower BS (ß = -0.113; p = .023) (reference: lower education). Girls who had experienced dating violence reported higher HS (ß = .080; p = .010) than those who had never been in an intimate relationship. For both sexes, high aggressiveness was associated with high levels of HS, and high aggressiveness was related to high levels of BS in boys. High assertiveness was associated with high levels of BS in both sexes and with high levels of HS in boys. A high level of problem-solving ability was associated with lower HS in both sexes. The study reinforces the need to invest in school programs aimed at preventing dating violence and promoting positive youth development.

Rasch analysis of the living with chronic illness scale in Parkinson's disease.

BACKGROUND: Neurologists play an essential role in facilitating the patient's process of living with Parkinson's disease (PD). The Living with Chronic Illness Scale-PD (LW-CI-PD) is a unique available clinical tool that evaluates how the patient is living with PD. The objective of the study was to analyse the LW-CI-PD properties according to the Rasch model. METHODS: An open, international, cross-sectional study was carried out in 324 patients with Parkinson's disease from four Latin American countries and Spain. Psychometric properties of the LW-CI-PD were tested using Rasch analysis: fit to the Rasch model, item local independency, unidimensionality, reliability, and differential item functioning by age and gender. RESULTS: Original LW-CI-PD do not fit Rasch model. Modifications emerged included simplifying the response scale and deleting misfit items, the dimensions Acceptance, Coping and Integration showed a satisfactory fit to the Rasch model, with reliability indices greater than 0.70. The dimensions Self-management and Adjustment to the disease did not reach fit to the Rasch model. CONCLUSION: Suggestions for improving the LW-CI-PD include a multidimensional and shorter scale with 12 items grouped in three subscales with a simpler response scheme. The final LW-CI-PD Scale version is a reliable scale, with good internal construct validity, that provides Rasch transformed results on linear metric scale.

Features and impact of missing values in the association of self-rated health with mortality in care homes: a longitudinal study.

BACKGROUND: Self-rated health (SRH) is a health measure used in studies of older adults. The objective of this study is to analyze SRH as a predictor of mortality in the institutionalized older population and the characteristics of those who do not provide information about their SRH on health questionnaires. METHODS: This is a 15-year follow-up study of older adult residents in nursing or care homes in of Madrid, Spain. SRH was measured on a 5-point Likert type scale. The association between answering the SRH question and socio-demographic and health characteristics was evaluated through prevalence ratio (PR), estimated by Poisson regression models. Survival rates associated with SRH were studied through a multivariate Cox regression. RESULTS: The sample has a mean age of 83.4 (standard deviation, SD = 7.3), with 75.7% women. Twelve percent did not answer the SRH item. Those who did not answer showed a higher probability of disability (Barthel index, PR = 0.76, 95% confidence interval = 0.67-0.86) and/or dementia (PR = 8.03, 3.38-19.03). A trend for higher mortality was observed in those persons who did not respond (adjusted hazard ratio HR = 1.26, 0.75-2.11). The mortality rate was 32% higher for those who declared poor SRH in comparison with those who reported good SRH (adjusted HR = 1.32, 1.08-1.6). CONCLUSIONS: There is an elevated number of people who do not respond to the SRH item, mainly those with disabilities and cognitive deterioration. Lack of response to SRH is a good indicator of 15-year mortality for persons institutionalized in care or nursing homes.

Psychometric properties of the EQ-5D-5L in patients with hip or knee osteoarthritis: reliability, validity and responsiveness.

PURPOSE: To study the psychometric properties, including reliability, validity and responsiveness, of the Spanish EQ-5D-5L questionnaire for patients with hip or knee osteoarthritis (OA). METHODS: We included 758 patients with hip or knee OA who completed the EQ-5D-5L and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at baseline, of whom 644 also did 6 months later. The EQ-5D-5L contains five questions from which a utility index is derived. The WOMAC covers three dimensions: pain, stiffness and physical function. Floor and ceiling effects were calculated. Reliability was assessed using Cronbach's alpha. Convergent validity was tested using the Spearman correlation coefficient between EQ-5D-5L and WOMAC. We examined known-groups validity by comparing the EQ-5D-5L between subgroups defined by WOMAC scores using ANOVA or the Kruskal-Wallis test. Effect sizes were calculated to assess responsiveness, and minimal clinically important difference (MCID) was estimated. RESULTS: The EQ-5D-5L showed minimal floor and ceiling effects (< 3%). Cronbach's alpha was 0.86. The EQ-5D-5L index was strongly correlated with WOMAC pain and function scores (- 0.688 and - 0.782). Patients with higher WOMAC scores had significantly (p < 0.0001) lower EQ-5D-5L index. The 20.19% had hip or knee replacement during the follow-up. Effect sizes were small among non-surgical patients, but > 0.80 among "improved" surgical patients, being the MCID for improvement 0.32 points. CONCLUSIONS: The results support the reliability, validity and responsiveness of the EQ-5D-5L, overcoming the limitations of the EQ-5D-3L in these patients. Therefore, the EQ-5D-5L could be very useful as an outcome measure, at least in patients with hip or knee OA.

Scale invariance and longitudinal stability of the Physical Functioning Western Ontario and MacMaster Universities Osteoarthritis Index using the Rasch model.

The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) measures the quality of life of patients with osteoarthritis (OA), and there is a specific scale for the physical functioning dimension, the short version with seven items WOMAC-pf. This study describes the application of the Rasch model to explore scale invariance and response stability of the WOMAC-pf short version across affected joint and over time. A sample of 884 patients with OA, from 15 hospitals in Spain, completed the WOMAC-pf before surgery (baseline) and at 3, 6 and 12 months post-surgery of hip or knee. The invariance by joint was explored through the differential item functioning (DIF) analysis of the Rasch model using baseline data, and time stability (DIF by time) were evaluated in stack data (each participant is represented four times, one by time point). Mean age of the patients was of 69.13 years (SD 10.01), 59.3% of them were women (n = 524), 59.2% had knee OA (n = 523) and 40.8% hip OA (n = 361). Item "putting on socks" showed DIF by joint and time. Fit to the Rasch model using stack data improved when this item was removed. Good reliability for individual use, local independency and unidimensionality of the models were confirmed. WOMAC-pf 7-item short version was invariant over time and joint when item "putting on socks" was removed. Researchers should carefully evaluate this item as it presents problems in scale invariance and stability, which could affect results when comparing data by joint or when computing change scores.

Psychometric characteristics of the Spanish version of the Barthel Index.

BACKGROUND: The Barthel Index is one of the most employed questionnaires for the evaluation of functionality, but there is no information on its psychometric properties. OBJECTIVE: The aim was to evaluate the reliability, validity, and responsiveness of the Spanish version of the Barthel Index. METHODS: The data employed in this paper were obtained from four Spanish cohorts of elderly people of 60 years or older. We collected data on age, gender, education level, comorbidities, and questionnaires regarding functionality, health-related quality of life, depression, and social support. RESULTS: The Cronbach's alpha coefficients were greater than 0.70. The confirmatory factor analysis provided satisfactory fit indexes and factor loadings. The correlation coefficients between the Barthel Index and the other questionnaires were lower than the Cronbach's alpha coefficients. Known-groups validity showed significant differences in the Barthel Index according to age, number of comorbidities, and gender. The standardized effect size and the standardized response mean were between 0.68 and 1.81. DISCUSSION: This version of the Barthel Index has good reliability, its structural validity has been confirmed, and the questionnaire can discriminate between groups and detect changes at follow-up points. CONCLUSIONS: This questionnaire can be used in the evaluation of functionality and basic activities of daily living in elderly people with different conditions.

Resumption of intercourse, self-reported decline in sexual intercourse and dyspareunia in women by mode of birth: A prospective follow-up study.

AIM: To evaluate the association between mode of birth and the resumption of sexual intercourse, self-reported decline in sexual intercourse and dyspareunia in women at the 6th week and 6th month postpartum. BACKGROUND: Interest in the relationship between mode of birth and postpartum sexual functioning is increasing. However, previous findings are contradictory. DESIGN: Prospective, longitudinal, observational study. METHOD: The participants comprised 552 healthy primiparous women aged 18-45 years who gave birth at a hospital between February 2013 - April 2014. Interviews were performed at the hospital and via telephone at the 6th week and 6th month postpartum. We constructed multivariate logistic regression models to examine the relationship between mode of birth and resumption of intercourse, self-reported decline in sexual intercourse and dyspareunia at the 6th week and 6th month postpartum. RESULTS: At the 6th week postpartum, forceps-assisted birth, combination of episiotomy plus perineal tear and belonging to a higher socio-economic status were related to a higher risk of non-resumption of sexual intercourse, while breastfeeding was related to a higher probability of dyspareunia. At the 6th month postpartum, the likelihood of self-reported decline in sexual intercourse was higher among women who screened positive for postpartum depression and a higher number of breastfeeding women reported a decline in sexual intercourse and dyspareunia. Furthermore, at the 6th month postpartum, women who reported the use of emergency services for a health problem had a higher risk of not having resumed intercourse and of experiencing dyspareunia.