434 research outputs found
Predictors and Effects of E-Cigarette Usage
This panel presentation will address Juul\u27s e-cigarette marketing campaign and the Truth Initiative\u27s counter campaign. In addition, our Communication 346 Capstone class will discuss overall e-cigarette usage on campus, known predictors of usage, general attitudes toward e-cigarettes, and potential health related outcomes. We will conclude with suggestions for an upcoming health promotion campaign addressing the information needs of students regarding the effects of e-cigarette usage
Predictors and Effects of E-Cigarette Usage
This panel presentation will address Juul\u27s e-cigarette marketing campaign and the Truth Initiative\u27s counter campaign. In addition, our Communication 346 Capstone class will discuss overall e-cigarette usage on campus, known predictors of usage, general attitudes toward e-cigarettes, and potential health related outcomes. We will conclude with suggestions for an upcoming health promotion campaign addressing the information needs of students regarding the effects of e-cigarette usage
Using the bootstrap to establish statistical significance for relative validity comparisons among patient-reported outcome measures
BACKGROUND: Relative validity (RV), a ratio of ANOVA F-statistics, is often used to compare the validity of patient-reported outcome (PRO) measures. We used the bootstrap to establish the statistical significance of the RV and to identify key factors affecting its significance.
METHODS: Based on responses from 453 chronic kidney disease (CKD) patients to 16 CKD-specific and generic PRO measures, RVs were computed to determine how well each measure discriminated across clinically-defined groups of patients compared to the most discriminating (reference) measure. Statistical significance of RV was quantified by the 95% bootstrap confidence interval. Simulations examined the effects of sample size, denominator F-statistic, correlation between comparator and reference measures, and number of bootstrap replicates.
RESULTS: The statistical significance of the RV increased as the magnitude of denominator F-statistic increased or as the correlation between comparator and reference measures increased. A denominator F-statistic of 57 conveyed sufficient power (80%) to detect an RV of 0.6 for two measures correlated at r = 0.7. Larger denominator F-statistics or higher correlations provided greater power. Larger sample size with a fixed denominator F-statistic or more bootstrap replicates (beyond 500) had minimal impact.
CONCLUSIONS: The bootstrap is valuable for establishing the statistical significance of RV estimates. A reasonably large denominator F-statistic (F \u3e 57) is required for adequate power when using the RV to compare the validity of measures with small or moderate correlations (r \u3c 0.7). Substantially greater power can be achieved when comparing measures of a very high correlation (r \u3e 0.9)
Predicting the 10-year risk of death from other causes in men with localized prostate cancer using patient-reported factors: Development of a tool
OBJECTIVE: To develop a tool for estimating the 10-year risk of death from other causes in men with localized prostate cancer.
SUBJECTS AND METHODS: We identified 2,425 patients from the Surveillance Epidemiology and End Results-Medicare Health Outcomes Survey database, age \u3c 80, newly diagnosed with clinical stage T1-T3a prostate cancer from 1/1/1998-12/31/2009, with follow-up through 2/28/2013. We developed a Fine and Gray competing-risks model for 10-year other cause mortality considering age, patient-reported comorbid medical conditions, component scores and items of the SF-36 Health Survey, activities of daily living, and sociodemographic characteristics. Model discrimination and calibration were compared to predictions from Social Security life table mortality risk estimates.
RESULTS: Over a median follow-up of 7.7 years, 76 men died of prostate-specific causes and 465 died of other causes. The strongest predictors of 10-year other cause mortality risk included increasing age at diagnosis, higher approximated Charlson Comorbidity Index score, worse patient-reported general health (fair or poor vs. excellent-good), smoking at diagnosis, and marital status (all other vs. married) (all p \u3c 0.05). Model discrimination improved over Social Security life tables (c-index of 0.70 vs. 0.59, respectively). Predictions were more accurate than predictions from the Social Security life tables, which overestimated risk in our population.
CONCLUSIONS: We provide a tool for estimating the 10-year risk of dying from other causes when making decisions about treating prostate cancer using pre-treatment patient-reported characteristics
Smoking Policies of Outpatient and Residential Substance Use Disorder Treatment Facilities in the United States
Tobacco use is associated with morbidity and mortality. Many individuals who present to treatment facilities with substance use disorders (SUDs) other than tobacco use disorder also smoke cigarettes or have a concomitant tobacco use disorder. Despite high rates of smoking among those with an SUD, and numerous demonstrated benefits of comprehensive SUD treatment for tobacco use in addition to co-occurring SUDs, not all facilities address the treatment of comorbid tobacco use disorder. In addition, facilities vary widely in terms of tobacco use policies on campus. This study examined SUD facility smoking policies in a national sample of N = 16,623 SUD treatment providers in the United States in 2021. Most facilities with outpatient treatment (52.1%) and facilities with residential treatment (67.8%) had a smoking policy that permitted smoking in designated outdoor area(s). A multinomial logistic regression model found that among facilities with outpatient treatment (n = 13,778), those located in a state with laws requiring tobacco free grounds at SUD facilities, those with tobacco screening/education/counseling services, and those with nicotine pharmacotherapy were less likely to have an unrestrictive tobacco smoking policy. Among facilities with residential treatment (n = 3449), those with tobacco screening/education/counseling services were less likely to have an unrestrictive tobacco smoking policy. There is variability in smoking policies and tobacco use treatment options in SUD treatment facilities across the United States. Since tobacco use is associated with negative biomedical outcomes, more should be done to ensure that SUD treatment also focuses on reducing the harms of tobacco use
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A RCT of telehealth for COPD patient's Quality of life: The Whole System Demonstrator Evaluation
INTRODUCTION/OBJECTIVES: Despite some concerns that the introduction of telehealth (TH) may lead to reductions in quality of life (QoL), lower mood and increased anxiety in response to using assistive technologies to reduce health care utilisation and manage long term conditions, this research focuses on the extent to which providing people with tools to monitor their condition can improve QoL.
METHODS: The Chronic Obstructive Pulmonary Disease cohort of the Whole Systems Demonstrator Trial is a pragmatic General Practitioner (GP) clustered RCT evaluating TH in the UK from three regions in England. All patients at a participating GP practice were deemed eligible for inclusion in the study if they were diagnosed with COPD.
RESULTS: 447 participants completed baseline and either a short (4 months) or long term (12 months) follow up. There was a trend of improved QoL and mood in the TH group at longer-term follow up, but not short term follow up. Emotional functioning (g= 0.280 95% CI, 0.051- 0.510) and mastery reached (g= 2.979 95%CI, 0- 0.46) significance at P<0.05 (all Hedges g <0.3).
CONCLUSIONS: TH showed minimal benefit to QoL in COPD patients who were not preselected to be at increased risk of acute exacerbations. Benefits were more likely in disease specific measures at longer term follow up. TH is a complex intervention and should be embedded in a service that is evidenced based. Outcome measures must be sensitive enough to detect changes in the target population for the specific intervention. This article is protected by copyright. All rights reserved
FORCE-TJR: Innovative design for a national TJR comparative effectiveness research database
BACKGROUND: Joint replacement (TJR) registries have traditionnally focused on collecting implant data and analyzing time-to-revision. Sub-optimal outcomes short of revision are important to surgeons and patients. In 2010, the US federal Agency for Healthcare Research and Quality funded Function and Outcomes Research for Comparative Effectiveness in TJR (FORCE-TJR), a research consortium and database to collect comprehensive TJR outcomes, including patient-reported pain and function and post-operative sequelae. This $12 million research award will provide new information about post-TJR adverse events, patient-reported functional gain, and implant longevity. We developed novel methods to assure critical data collection and sustainability.
METHODS: FORCE-TJR developed methods to (1) assemble a research consortium that includes a national sample of diverse surgeons and practices who agree to invite all patients to participate, (2) implement a virtual model for patient consent and data entry of consistent, validated patient-reported surveys, (3) conduct efficient screening for post-TJR sequelae and validated chart review and adjudication, and (4) document implant details.
RESULTS: In the first 8 months, FORCE-TJR enrolled more than 90 surgeons in urban and rural settings, across 21 states; with academic, private, and HMO ownership; performing varied annual volumes of TJR surgery. Across practices, 80-95% of patients enrolled and more than 3250 patients consented to complete standardized surveys. More than 150 patients are enrolled each week, and enrollment rates will grow as additional surgeons join.
CONCLUSION: FORCE-TJR employs innovative strategies to collect comprehensive post-TJR data from a national cohort of more than 30,000 patients. Comparative effectiveness research emerging from these data will include patient, implant, health system predictors of post-TJR adverse events, pain relief, functional gain, and revision. These TJR analyses will offer novel and important new evidence to guide patient and surgeon decisions, and are possible only because of this comprehensive research design
Identification of a Novel ZIC3 Isoform and Mutation Screening in Patients with Heterotaxy and Congenital Heart Disease
Patients with heterotaxy have characteristic cardiovascular malformations, abnormal arrangement of their visceral organs, and midline patterning defects that result from abnormal left-right patterning during embryogenesis. Loss of function of the transcription factor ZIC3 causes X-linked heterotaxy and isolated congenital heart malformations and represents one of the few known monogenic causes of congenital heart disease. The birth incidence of heterotaxy-spectrum malformations is significantly higher in males, but our previous work indicated that mutations within ZIC3 did not account for the male over-representation. Therefore, cross species comparative sequence alignment was used to identify a putative novel fourth exon, and the existence of a novel alternatively spliced transcript was confirmed by amplification from murine embryonic RNA and subsequent sequencing. This transcript, termed Zic3-B, encompasses exons 1, 2, and 4 whereas Zic3-A encompasses exons 1, 2, and 3. The resulting protein isoforms are 466 and 456 amino acid residues respectively, sharing the first 407 residues. Importantly, the last two amino acids in the fifth zinc finger DNA binding domain are altered in the Zic3-B isoform, indicating a potential functional difference that was further evaluated by expression, subcellular localization, and transactivation analyses. The temporo-spatial expression pattern of Zic3-B overlaps with Zic3-A in vivo, and both isoforms are localized to the nucleus in vitro. Both isoforms can transcriptionally activate a Gli binding site reporter, but only ZIC3-A synergistically activates upon co-transfection with Gli3, suggesting that the isoforms are functionally distinct. Screening 109 familial and sporadic male heterotaxy cases did not identify pathogenic mutations in the newly identified fourth exon and larger studies are necessary to establish the importance of the novel isoform in human disease
A bi-directional relationship between obesity and health-related quality of life : evidence from the longitudinal AusDiab study
Objective: To assess the prospective relationship between obesity and health-related quality of life, including a novel assessment of the impact of health-related quality of life on weight gain.Design and setting: Longitudinal, national, population-based Australian Diabetes, Obesity and Lifestyle (AusDiab) study, with surveys conducted in 1999/2000 and 2004/2005.Participants: A total of 5985 men and women aged 25 years at study entry.Main outcome measure(s): At both time points, height, weight and waist circumference were measured and self-report data on health-related quality of life from the SF-36 questionnaire were obtained. Cross-sectional and bi-directional, prospective associations between obesity categories and health-related quality of life were assessed.Results: Higher body mass index (BMI) at baseline was associated with deterioration in health-related quality of life over 5 years for seven of the eight health-related quality of life domains in women (all P0.01, with the exception of mental health, P>0.05), and six out of eight in men (all P<0.05, with the exception of role-emotional, P=0.055, and mental health, P>0.05). Each of the quality-of-life domains related to mental health as well as the mental component summary were inversely associated with BMI change (all P<0.0001 for women and P0.01 for men), with the exception of vitality, which was significant in women only (P=0.008). For the physical domains, change in BMI was inversely associated with baseline general health in women only (P=0.023).Conclusions: Obesity was associated with a deterioration in health-related quality of life (including both physical and mental health domains) in this cohort of Australian adults followed over 5 years. Health-related quality of life was also a predictor of weight gain over 5 years, indicating a bi-directional association between obesity and health-related quality of life. The identification of those with poor health-related quality of life may be important in assessing the risk of future weight gain, and a focus on health-related quality of life may be beneficial in weight management strategies.<br /
Perceptions and experiences of caregivers of severely malnourished children receiving inpatient care in Malawi: An exploratory study
Background Severe acute malnutrition (SAM) affects approximately 18 million children under the age of five and is associated with more than 500 thousand deaths per year. Existing research has indicated that a high number of caregivers of children admitted for inpatient treatment of SAM experience psychological distress, depressive symptoms, and suicidality. However, no published studies in Malawi have been undertaken to qualitatively explore caregivers’ perceptions and experiences regarding their children’s malnutrition and inpatient treatment. Aim To explore caregivers’ perceptions and experiences surrounding childhood acute malnutrition and the experience of inpatient care in Malawi. Methods Interviews were conducted utilising a semi-structured topic guide and were coded using thematic analysis. Results Caregivers (N=30) gave informed consent to participate in interviews. Caregiver understanding and perceptions of their children’s illness varied. Some caregivers identified a physical cause, with a minority identifying lack of dietary protein. Other narratives were around characteristics of the infant, other circumstantial events and religious and spiritual influences. One-third of caregivers described their own health difficulties and marital and relationship stressors. Challenges such as poverty, lack of access to food, poor food variability and competing demands for caregiver time were explained. Both positive and negative experiences of family and community support and hospital-based care were reported. Conclusion The themes identified contribute to a greater contextual understanding of the multifactorial and integrated approaches required to address malnutrition. This study indicates that healthcare providers need to take a multi-faceted view of malnutrition and be aware of the many factors that may influence healthcare experience and response to treatment. Acknowledging pluralistic belief systems may improve engagement with care. This demands a broader appreciation of perceptions and experiences of malnutrition, hospital-based care, sources of support and stressors within the caregiver, family and community environment as well as consideration of social determinants such as poverty and how these influences present within a clinical context
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