Yoxas/statistical_literacy huggingface dataset:
Cardiovascular disease (CVD) is the major cause of mortality worldwide. Recent studies showed that there is increasing CVD incidence at younger ages. Therefore, this study aimed to estimate the risk of CVD and its associated factors among young adults. A cross-sectional study was conducted among university students in Selangor, Malaysia, using a self-administered questionnaire along with anthropometric measurements. The sample size was calculated using a single proportion formula. The CVD risk was calculated using the non-laboratory-based Inter-Heart Modifiable Risk Score (IHMRS). Participants aged 18 years and above, with no CVD history, were recruited using a convenience sampling method between February and May 2022. CVD risk was classified as low (scores between 0 and 9 points), moderate (scores between 10 and 15 points) and high (scores between 16 and 48 points). The factors associated with the CVD risk were identified using χ2 analysis. A total of 241 participants were included in this study. The median age was 28 years and the majority were females (75.1%). The IHMRS revealed that 46.5%, 44.4% and 9% of the respondents have low, moderate and high CVD risk, respectively. The CVD risk associated factors were education, the history of heart attacks among parents, feeling sad or depressed for 2 weeks or more in a row, having several episodes/permanent stress, expose to secondhand smoke and consuming meat and poultry more than two times daily. This study found that more than 50% of study participants had moderate to high risk of CVD. Family history and lifestyle factors are the most likely determinants of CVD risk among the young age group. These findings support the development and implementation of targeted prevention programmes as well as provide useful information for action planning and policymaking to curb the disease in the future.
Cardiovascular disease (CVD) risk is increased in SLE and underestimated by general population prediction algorithms. We aimed to develop a novel SLE-specific prediction tool, SLECRISK, to provide a more accurate estimate of CVD risk in SLE. We studied patients in the Brigham and Women's Hospital SLE cohort. We collected one-year baseline data including the presence of traditional CVD factors and SLE-related features at cohort enrollment. Ten-year follow-up for the first major adverse cardiovascular event (MACE; myocardial infarction (MI), stroke, or cardiac death) began at day +1 following the baseline period (index date). ICD-9/10 codes identified MACE were adjudicated by board-certified cardiologists. Least absolute shrinkage and selection operator regression selected SLE-related variables to add to the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Risk Equations 10-year risk Cox regression model. Model fit statistics and performance (sensitivity, specificity, positive/negative predictive value, c-statistic) for predicting moderate/high 10-year risk (≥7.5 %) of MACE were assessed and compared to ACC/AHA, Framingham risk score (FRS), and modified FRS (mFRS). Optimism adjustment internal validation was performed using bootstrapping. We included 1,243 patients with 90 MACEs (46 MIs, 36 strokes, 19 cardiac deaths) over 8946.5 person-years of follow-up. SLE variables selected for the new prediction algorithm (SLECRISK) were SLE activity (remission/mild vs. moderate/severe), disease duration (years), creatinine (mg/dL), anti-dsDNA, anti-RNP, lupus anticoagulant, anti-Ro positivity, and low C4. The sensitivity for detecting moderate/high-risk (≥7.5 %) of MACE using SLECRISK was 0.74 (95 %CI: 0.65, 0.83), which was better than the sensitivity of the ACC/AHA model (0.38 (95 %CI: 0.28, 0.48)). It also identified 3.4-fold more moderate/high-risk patients than the ACC/AHA. Patients who were moderate/high-risk according to SLECRISK but not ACC/AHA, were more likely to be young women with severe SLE and few other traditional CVD risk factors. Model performance between SLECRISK, FRS, and mFRS were similar. The novel SLECRISK tool is more sensitive than the ACC/AHA for predicting moderate/high 10-year risk for MACE and may be particularly useful in predicting risk for young females with severe SLE. Future external validation studies utilizing cohorts with more severe SLE are needed.
Cardiovascular diseases (CVD) represent a leading cause of global mortality, necessitating proactive identification of risk factors for preventive strategies. This study aimed to uncover prognostic factors influencing cardiovascular patient survival. This study, which used a sample size of 410, showed how to analyze data using simple random sampling. It was conducted at the Tikur Anbessa Specialist Hospital in Addis Ababa, Ethiopia, between September 2012 and April 2016. The Cox PH and stratified Cox regression models were used for the analysis. Findings disclosed a patient cohort where 200 patients (48.8%) persisted through subsequent evaluation, while 210 patients (51.2%) succumbed. Blood pressure (BP), specific CVD, and education levels (EL) exhibited nonproportionalities in scaled Schoenfeld residuals (P < 0.001), prompting necessary stratification. Inadequacies in the Cox proportional hazards model led to favoring the stratified Cox model. Notably, EL, BP, cholesterol level (CL), alcohol use (AU), smoking use (SU), and pulse rate (PR) exhibited statistical significance (P < 0.001). Acceptability of the absence of interaction in the model, with disease types as strata, was established. Different cardiovascular conditions served as distinct groups, where EL, AU, BP, PR, CL, and SU emerged as variables with statistically substantiated significance associated with the mortality of patients with CVD. Implications stress the imperative of widespread awareness among policymakers and the public concerning cardiovascular disease incidence. Such awareness is pivotal in mitigating identified risk factors, guiding more effective healthcare interventions tailored to the multifaceted challenges posed by cardiovascular health.
Cardiovascular diseases (CVD) represent a significant global health problem. They account for nearly one third of deaths worldwide. With improvements in diagnostic modalities, their prevalence in sub-Saharan Africa (SSA) is rising. Disease pattens vary in different regions and communities and the pattern in our setting is not known. Echocardiography is a noninvasive diagnostic tool that essential for structural and hemodynamic assessment of the heart. It stands at the far front for comprehensive evaluation of the heart because of its relative low cost and wide availability. The aim of this study was to assess pattern of CVDs among patients who had echocardiography done at a teaching Hospital in Addis Ababa, Ethiopia. A retrospective review of 1500 echocardiograms of patients referred to the echocardiography laboratory of St. Paul Hospital Millennium Medical College (SPHMMC) for cardiac evaluation from January 1, 2018 to June 30, 2019 was performed. All subjects had standard transthoracic echocardiography performed by cardiologists using General Electric Vivid E9 and E95 machines. Demographic parameters and echocardiographic findings were collected using a structured checklist from the echocardiography register. Descriptive statistics were used to assess the echocardiographic findings. The mean age of subjects was 48.2 (SD of 18.2) and ranged between 14 and 100 years of age. Both males and females were nearly equally distributed with males accounting for 48.3%. Most (77.9%) of the subjects had an abnormal echocardiographic report; only 332 (22.1%) had a normal study. Diastolic dysfunction (DD) (33.4%), valvular heart disease (18.4%), and left ventricular hypertrophy (LVH) (13.7%) were the most common findings in our hospital. Among patients with DD, Grade 1 dysfunction accounted for the majority (79.8%), of which 41% had associated LVH. Pulmonary hypertension (PH), cardiomyopathy and ischemic heart disease were also not uncommon. Abnormal echocardiographic findings are common in patients referred to our hospital for transthoracic echo. The commonest echocardiographic abnormalities were DD, Valvular heart disease (both rheumatic and calcific valves) and LVH.
Cardiovascular diseases (CVD) stand out as the leading cause of mortality, and the mortality rate attributed to this disease is notably elevated in Iran. Consequently, dedicated studies on CVD become imperative. This cross-sectional study utilized data from the death registration system of the Ministry of Health, Treatment and Medical Education of Iran. In this study, the statistical population of all people who died due to CVD in Iran were18,146, 21,945, and 24,352 individuals in the years 2017, 2018, and 2019, respectively. The primary objective is to conduct a spatiotemporal analysis of CVD mortality spatiotemporally using GIS-based methodologies. To achieve this, CVD mortality data at the township level for the years 2017, 2018, and 2019 in Iran are subjected to spatial statistical tests, including Anselin Local Moran's I and Hot Spot Analysis (Getis-Ord Gi*), as well as analytical techniques such as Mean Center (MC), (SD), and (GIS). The study identified a rising trend in cardiovascular disease-related deaths in Iran, reaching (46.36% females and 53.64 males), (45.39% females and 54.61% males) and (45.67% females and 54.33% males) individuals in the years 2017, 2018, and 2019, respectively. Throughout this period, the mortality rate was higher among men, with the elderly showing the highest mortality. Notably, distinct hotspots of cardiovascular disease mortality emerged in the western, southern, and eastern regions of Iran. These findings emphasize the importance of targeted interventions and further investigation into the contributing factors in these specific geographic areas. Geographic factors are identified as significant contributors to an elevated risk of cardiovascular disease mortality. Our study, shedding light on the spatial dynamics of the disease, offers valuable insights for decision-makers. The findings can contribute to the formulation of effective strategies and policies, aligning with a Holistic Cardiovascular Health Strategy, Gender-Based Healthcare Policies, and Spatial Planning and Environmental Policies.
Cardiovascular diseases (CVDs) are among the most common causes of access to the Emergency Department and among the leading causes of death worldwide. Accurate diagnostic algorithms are mandatory to ensure a rapid life-saving treatment. However, non-specific clinical presentation and unnecessary referrals to other subspecialties may lead to misinterpretation of the diagnosis and delays. In recent years, the development of imaging technologies has allowed Computed Tomography (CT) to play a prominent role in the concepts of CVD rule-in and rule-out. An optimization strategy for CT protocols is needed to reduce variability and improve image quality. A correct diagnostic suspicion is crucial, as different districts (i.e., heart, aorta and pulmonary circulation) may require different investigation techniques. Additionally, the CVD pre-test probability assessment is highly correlated with CT accuracy. The purpose of this narrative review is to analyze the current role of CT in the approach to the CVDs in the ED, and to analyze the main strategies of CT optimization.
Care continuity by a dedicated, well-trained primary care physician (PCP) has shown to improve health outcomes of patients with non-communicable diseases (NCDs). In Singapore's fee-for-service primary care system, patients can choose to consult any PCP in either a public (polyclinic), private (General Practitioners/ GP), or both types of clinics, resulting in potential fragmented care. Decision-making by patients in selecting their preferred PCP remains unclear. This study aims to explore the personal factors influencing the choice of PCP among patients with NCDs in primary care. This qualitative research study was conducted in a typical polyclinic. In-depth interviews were conducted on patients with NCDs. Purposive sampling was implemented to enrol patients who had previously consulted PCPs in polyclinics and GP clinics, garnering their perspectives and experiences of care received from both providers. Interviews were audio-recorded, transcribed, and audited. Data was coded and analysed using thematic content analysis to identify emerging themes. The physician-specific factors which influence patients' decision-making of PCP selection are presented here. Twenty-one Asian patients aged 38 to 82 years were interviewed. They preferred PCPs with an approachable and genuine demeanour, exhibiting empathy and compassion. They valued the PCPs' verbal, non-verbal and listening skills. Regarding professional qualities, patients wanted PCPs to demonstrate competency and a patient-centred care approach. Some selected their PCP based on compatible age and gender that they felt comfortable with. Establishing good rapport with their PCP and maintaining continuity of care were deemed as major factors in patients' PCP selection. Patients tended to select PCPs based on their personal characteristics, interpersonal skills, professional attributes, demographics, and the physician-patient relationship. PCPs should be aware of these attributes and demonstrate them during their patient interaction. Leveraging on this enables PCPs to build rapport with their patients and maintain care continuity to optimize their health outcomes.
Care givers of Palliated patients are at risk of adverse physical, psychosocial and emotional sequelae in varied nature. Efficient and valid assessment tools facilitate early detection to take corrective measures. The Modified Caregiver Strain Index (MCSI), composed of domains associated with caregiver strain is a simple and brief tool that can be used in both clinical and field settings. This study aimed to adapt and validate this in order to cater effective palliative care services in Sri Lanka. After cross-cultural adaptation, 200 primary caregivers in 3 teaching hospitals were recruited. The internal consistency, item-total correlations, of the 13-item S-MCSI were performed. The criterion validity was assessed by Pearson correlation between the total scores of S-MCSI, the Karnofky Performance Scale and the Barthel index. Construct validity was determined by the principal component analysis keeping the Varimax with Keiser normalization as the rotation method. The Kaiser-Meyer-Olkin test (KMO) and Bartlett's test of sphericity statistics were also performed to determine the adequacy of the sample and correlations between items, respectively. The number of factors was determined by the Scree plot, percentage of variance explained by each component and number of Eigen values over 01 (Kaiser-Guttman rule). The total MCSI score ranged 0 to 26. The overall Cronbach's alpha of the 13-item questionnaire was 0.80 while item-total corrections ranged 0.34 to 0.62, exception of one item (0.11). Inverse correlations were demonstrated in total scores of MCSI and Karnofky Performance Scale (r =- 0.32, p < 0.001) and Barthel index (r =-0.34, P < 0.001). A Kaiser-Meyer-Olkin value of 0.79 (p < 0.001) for Bartlett's test indicated adequate sampling and nonlinearity of factors. The Scree plot showed a three-factor structure explaining 57% of the variation. Items regarding personal wellbeing of caregiver loaded together while the effects on the family loaded separately. Adjustment of personal concerns and family issues along with time alteration grouped as the third factor. The study showed that the Sinhala version of MCSI has adequate psychometric properties and reliability to be used as a validated tool to estimate the caregiver burden within a short time period for any health care workers.
Care transitions following a stroke call for integrated care approaches to reduce death and disability. The proposed research described in this study protocol aims to evaluate the effectiveness of a person-centred multicomponent care transition support and the process in terms of contextual moderators, implementation aspects and mechanisms of impact. A non-randomized controlled trial design will be used. The intervention includes person-centred dialogue intended to permeate all patient-provider communication, various pedagogical modes of information, a person-centred care and rehabilitation plan, and a bridging e-meeting to prepare patients for homecoming. Patients with stroke or TIA who are to be discharged from the participating hospitals to home and referred to a neurorehabilitation team for continued rehabilitation will be included. Follow-ups will be conducted at one week, 3 months and 12 months. Data will be collected on the primary outcome of perceived quality of the care transition, and on the secondary outcomes of health literacy, medication adherence, and perceived person-centeredness. Data for process evaluation will be collected through semi-structured interviews, focus groups, participatory observations, and the Normalisation Measure Development Questionnaire. The study will provide insights on implementation, mechanisms of impact, contextual moderators, and effectiveness of a care transition support, targeting a poorly functioning part of the care trajectory for people with stroke and TIA. ClinicalTrials.gov Identifier: NCT05646589.
Career opportunities for pharmacists beyond those commonly associated with the degree continue to emerge. A paucity of literature regarding evaluation of pharmacy graduate career paths over extended periods is apparent. Considering international pharmacy workforce capacity pressures, the primary study aim was to evaluate trends in career paths of pharmacy graduates. This study utilised a multimethod approach to access graduate career data using publicly accessible information from LinkedIn® profiles and an online survey. The survey was distributed to all pharmacy graduates of a university (2007-2022). Data from both methods was combined, cross-checked, coded and analysed quantitatively using descriptive and inferential statistics. Data from 69.7% of the university's pharmacy graduates was collected. Community pharmacy was the most prevalent employment sector (47.7%), followed by industry (21.5%) and hospital (17.7%). A higher proportion of more recent graduates (≤5 years post-graduation) work in a community or hospital pharmacy role versus those who graduated greater than five years ago (χ2 = 8.44, df = 2, p < 0.05). Post-graduate education was undertaken by 41.3% of graduates. Career satisfaction was high (88.2%) but was lower (χ2 = 11.31, df = 1, p < 0.05) for those in community and hospital (82%) versus other sectors (97.5%). This study provides the first analysis of graduate career paths over an extended period, highlighting a novel approach to track pharmacist workforce. While almost two thirds of pharmacy graduates occupy community or hospital roles, a trend of leaving these settings five years post-graduation was evident. Accordingly, this work represents a springboard for additional research to inform future pharmacist workforce planning worldwide.
Caregiver-delivered programs are a recommended best practice to support young autistic children. While research has extensively explored children's outcomes quantitatively, minimal qualitative research has been conducted to understand caregivers' perspectives of program outcomes for themselves and their children. Hearing directly from caregivers is an important step in ensuring these programs are meeting the needs of those who use them. This study explored caregivers' perceived outcomes following one virtual caregiver-delivered program, The Hanen Centre's More Than Words® (MTW) program. This study was a secondary analysis of data from individual interviews conducted with 21 caregivers who had recently participated in a virtual MTW program. A hybrid codebook thematic analysis approach was taken to analyze the interview data. Program outcomes were coded and analyzed within the International Classification Functioning, Disability, and Health (ICF) framework. Additionally, caregivers completed an online survey and rated Likert Scale items about perceived program outcomes, which were analyzed descriptively. Five themes were identified: (1) caregivers learned new strategies to facilitate their child's development, (2) caregivers developed a new mindset, (3) children gained functional communication skills, (4) caregiver-child relationships improved, and (5) caregivers gained a social and professional support network. These themes fell within four of five ICF framework components (activities, participation, personal factors, and environmental factors). No themes were identified under Body Structures and Functions. Survey results indicated most caregivers reported learning new communication strategies (n = 20, 95%), and identifying new teaching opportunities with their child (n = 21, 100%). Some reported outcomes, related to Activities and Participation, were consistent with previous reports in the literature on the MTW program. In line with previous research, caregivers learned strategies to support their child's communication development. Contrary to previous quantitative studies, caregivers in this study rarely commented on gains in vocabulary and instead focused on gains in skills that positively impacted their child's ability to engage in meaningful social interaction. Novel outcomes were identified within the Participation, Personal Factors, and Environmental Factors components of the ICF framework. Caregivers in this study identified important outcomes for themselves and their child that have not been the focus of prior research, suggesting it is important to integrate their perspectives in the development and evaluation of caregiver-delivered programs. Clinicians should include goals that address outcomes identified as important by caregivers, including those that address children's Participation, and those that target caregivers' Personal and Environmental Factors. Developers of caregiver-delivered programs could integrate identified goals to ensure they are meeting families' needs.
Caregivers are important contributors to the self-care of patients with coronary heart disease (CHD). The aims of this study are to describe the development and psychometric properties of the caregiver contribution to self-care of coronary heart disease inventory (CC-SC-CHDI). The CC-SC-CHDI was developed from the patient version of the scale, the Self-care of Coronary Heart Disease Inventory (SC-CHDI) and translated into Italian using forward and backward translation. Baseline data from the HEARTS-IN-DYADS study were used. Confirmatory factor analysis (CFA) was conducted to assess factorial validity; Cronbach's alpha and the model-based internal consistency index were used to test internal consistency reliability, and Pearson's correlation coefficient was used to test convergent validity, by investigating the association between the CC-SC-CHDI and the SC-CHDI scores. We included 131 caregivers (mean age 55 years, 81.2% females, 74% married) of patients affected by CHD (mean age 66 years, 80.2% males, 74% married). The CFA confirmed two factors in the caregiver contribution to self-care maintenance scale ("consulting behaviors" and "autonomous behaviors"), one factor for the CC to self-care monitoring scale, and two factors in the CC to self-care management scale ("consulting behaviors and problem-solving behaviors"). Reliability estimates were adequate for each scale (Cronbach's alpha and model-based internal consistency indexes ranging from 0.73 to 0.90). Significant and positive correlations were observed between CC-SC-CHDI and SC-CHDI scales. The CC-SC-CHDI has satisfactory validity and reliability and can be used confidently in clinical settings and research to assess caregiver contributions to CHD self-care.