Community Engagement to Address Cancer Health Disparities: A Process EVALUATION using the Partnership Self-Assessment Tool

2019 ◽  
Vol 13 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Qiana L. Brown ◽  
Ahmed Elmi ◽  
Lee Bone ◽  
Frances Stillman ◽  
Olive Mbah ◽  
...  
Keyword(s):  
Health Disparities ◽  
Community Engagement ◽  
Process Evaluation ◽  
Assessment Tool ◽  
Cancer Health Disparities ◽  
Self Assessment

scholarly journals An Overview of Cancer Health Disparities: New Approaches and Insights and Why They Matter

2020 ◽  
Author(s):  
Tsion Zewdu Minas ◽  
Maeve Kiely ◽  
Anuoluwapo Ajao ◽  
Stefan Ambs
Keyword(s):  
Health Care ◽  
Health Disparities ◽  
Social Stress ◽  
Access To Health Care ◽  
Health Care Disparities ◽  
Underserved Populations ◽  
Tumor Biology ◽  
Cultural Barriers ◽  
Cancer Therapies ◽  
Cancer Health Disparities

Abstract Cancer health disparities remain stubbornly entrenched in the US health care system. The Affordable Care Act was legislation to target these disparities in health outcomes. Expanded access to health care, reduction in tobacco use, uptake of other preventive measures and cancer screening, and improved cancer therapies greatly reduced cancer mortality among women and men and underserved communities in this country. Yet, disparities in cancer outcomes remain. Underserved populations continue to experience an excessive cancer burden. This burden is largely explained by health care disparities, lifestyle factors, cultural barriers, and disparate exposures to carcinogens and pathogens, as exemplified by the COVID-19 epidemic. However, research also shows that comorbidities, social stress, ancestral and immunobiological factors, and the microbiome, may contribute to health disparities in cancer risk and survival. Recent studies revealed that comorbid conditions can induce an adverse tumor biology, leading to a more aggressive disease and decreased patient survival. In this review, we will discuss unanswered questions and new opportunities in cancer health disparity research related to comorbid chronic diseases, stress signaling, the immune response, and the microbiome, and what contribution these factors may have as causes of cancer health disparities.

scholarly journals Testing a self-assessment tool for HP competencies with participants of training courses in Austria

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Lang
Keyword(s):  
Assessment Tool ◽  
Core Competencies ◽  
Empirical Studies ◽  
Reliability And Validity ◽  
International Standards ◽  
Online Questionnaire ◽  
Self Assessment ◽  
High Quality ◽  
Training Courses ◽  
Training Programmes

Abstract Background High quality health promotion (HP) depends on a competent workforce for which professional development programmes for practitioners are essential. The “CompHP Core Competencies Framework in HP” defines crucial competency domains but a recent review concluded that the implementation and use of the framework is lacking. The aim was to develop and validate a self-assessment tool for HP competencies, which should help evaluate training courses. Methods A brief self-assessment tool was employed in 2018 in Austria. 584 participants of 77 training courses submitted their post-course assessment (paper-pencil, RR = 78.1%). In addition, longitudinal data are available for 148 participants who filled in a pre-course online questionnaire. Measurement reliability and validity was tested by single factor, bifactor, multigroup, and multilevel CFA. A SEM proved for predictive and concurrent validity, controlling gender and age. Results A bifactor model (X2/df=3.69, RMSEA=.07, CFI=.95, sRMR=.07) showed superior results with a strong general CompHP factor (FL>.65, wH=.90, ECV=.85), configurally invariant for two training programmes. On course level, there was only minimal variance between trainings (ICC<.08). Structurally, there was a significant increase in HP competencies when comparing pre- and post-course measurements (b=.33, p<.01). Participants showed different levels of competencies due to prior knowledge (b=.38, p<.001) and course format (b=.16, p<.06). The total scale had good properties (m = 49.8, sd = 10.3, 95%-CI: 49.0-50.7) and discriminated between groups (eg by training length). Conclusions The results justify the creation of an overall scale to assess core HP competencies. It is recommended to use the scale for evaluating training courses. The work compensates for the lack of empirical studies on the CompHP concept and facilitates a broader empirical application of a uniform competency framework for HP in accordance with international standards in HP and public health. Key messages The self-assessment tool provides a good and compact foundation for assessing HP competencies. It provides a basis for holistic, high quality and sustainable capacity building or development in HP.

scholarly journals Beijing Friendship Hospital Osteoporosis Self-Assessment Tool for Elderly Male (BFH-OSTM) vs Fracture Risk Assessment Tool (FRAX) for identifying painful new osteoporotic vertebral fractures in older Chinese men: a cross-sectional study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ning An ◽  
Ji Sheng Lin ◽  
Qi Fei
Keyword(s):  
Assessment Tool ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Self Assessment ◽  
Cross Sectional ◽  
Fracture Group ◽  
Friendship Hospital ◽  
Fracture Risk Assessment Tool ◽  
Older Chinese ◽  
Sensitivity Specificity

Abstract Background To compare the validation of four tools for identifying painful new osteoporotic vertebral compression fractures (PNOVCFs) in older Chinese men: bone mineral density (BMD), Asian osteoporosis self-assessment tool (OSTA), World Health Organization fracture risk assessment tool (FRAX) (without BMD) and Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OSTM). Methods A cross sectional study was conducted from 2013 to 2019. A total of 846 men aged ≥50 were included and were divided into two groups: Fracture Group (patients with PNOVCFs underwent percutaneous vertebroplasty surgery) and Non-Fracture Group (community dwelled subjects for healthy examination). All subjects accepted a dual-energy X-ray BMD test and a structured questionnaire. The results of BMD, OSTA, FRAX and BFH-OSTM scores were assessed and receiver-operating characteristic (ROC) curves were generated to compare the validity of four tools for identifying PNOVCFs. Optimal cutoff points, sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Results There were significant differences including BMD T score (femoral neck, total hip and L1-L4), OSTA, FRAX and BFH-OSTM scores between Fracture group and Non-fracture group. Compared to BMD and OSTA, BFH-OSTM and FRAX had better predictive value, the sensitivity, specificity and AUC value are 0.841, 81.29%, 70.67% and 0.796, 74.85%, 78.52%, respectively. Compared with FRAX, the BFH-OSTM has a better AUC value. Conclusions Both BFH-OSTM and FRAX can be used to identify POVCFs, However, BFH-OSTM model may be a more simple and effective tool to identify the risk of POVCFs in Chinese elderly men.

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