Development and validation of ecological understanding assessment
                        tool for adolescents applying mind map

Food literacy refers to the knowledge, skills, and attitudes required for individuals to choose foods that promote health. As the rate of diet-related diseases increases, food literacy is becoming more important. However, there are no tools available to evaluate food literacy among the Korean elderly. We derived 547 questions from a literature review and, after three rounds of Delphi surveys, selected 33 preliminary questions. We calculated the content validity ratio of the questions and applied a face validity procedure. We then selected 32 questions, assessed their validity, and distributed them as a questionnaire to 205 elderly people. We then conducted exploratory factor analysis (EFA) to determine the validity of the questionnaire and used an internal consistency index (Cronbach’s α coefficient) to determine reliability. Based on the factor analysis, 13 questions were selected, distributed among three factors, and evaluated using the Kaiser–Meyer–Olkin (KMO) and Bartlett sphericity tests. The factor analysis showed that KMO was 0.872, which is a highly acceptable score, and the Bartlett sphericity test was χ2 = 1,374.69 at p = 0.00. The food literacy questionnaire developed in this study will likely be helpful for improving the healthcare of elderly people.

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Development and Validation of the Live Donor Psychosocial Assessment Tool (LDAT).

Transplantation Journal ◽

10.1097/00007890-201407151-00595 ◽

2014 ◽

Vol 98 ◽

pp. 198

Author(s):

LaPointe D. Rudow ◽

B. Iacoviello ◽

J. Braoude ◽

T. Jennings ◽

S. Vaidya ◽

...

Keyword(s):

Assessment Tool ◽

Psychosocial Assessment ◽

Live Donor ◽

Development And Validation

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Development and Validation of the Health-Friendly Activity Index: An Assessment Tool to Improve Consumers’ Health-Related Outcomes

10.21203/rs.3.rs-27870/v1 ◽

2020 ◽

Author(s):

Young Ho Yun ◽

Sinae Oh ◽

Jin Ah Sim ◽

Sujee Lee ◽

Eun-Jung Sohn

Keyword(s):

Assessment Tool ◽

Activity Index ◽

Field Testing ◽

Cross Sectional Study ◽

Cross Sectional ◽

Item Questionnaire ◽

Three Phase ◽

Health Related ◽

D 20 ◽

Development And Validation

Abstract Objectives We developed the Health-Friendly Activity Index (HFAI) to measure the health-friendly activity of corporations or organizations comprehensively. We validated the developed tool and reported on its use as an assessment tool to improve consumers’ health-related outcomes.Study Design This is a cross-sectional studyPUBH-D-20-02610 Development of the HFAI questionnaire followed a three-phase process: item generation, item construction, and validation with field testing. Using relevance and feasibility criteria, we developed a 105-item questionnaire with six domains (Governance and Infrastructure, Needs Assessment, Planning, Implementation, Monitoring and Feedback, and Outcomes). To assess the sensitivity and validity of the questionnaire, we recruited two different groups. We assessed Group One (31 companies) based on their recent sustainability reports and compared their HFAI scores with the Contribution Assessment Tool for Consumer’s Health (CATCH) scores from 400 people from the general Korean population. For Group Two, we recruited 19 worksites and asked them to complete the HFAI and CATCH.Results Each domain of HFAI exhibited a Cronbach’s α coefficient between 0.382 and 1.000 for Group One and a Cronbach’s α coefficient between 0.676 and 0.938 for Group Two.

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A New Rapid Approach for Predicting Death in Coronavirus Patients: The Development and Validation of the COVID-19 Risk-Score in Fars Province (CRSF)

Iranian Journal of Public Health ◽

10.18502/ijph.v51i1.8310 ◽

2022 ◽

Author(s):

Mehrdad Sharifi ◽

Mohammad Hossein Khademian ◽

Razieh Sadat Mousavi-Roknabadi ◽

Vahid Ebrahimi ◽

Robab Sadegh

Keyword(s):

Risk Factors ◽

Risk Score ◽

Predictive Value ◽

Assessment Tool ◽

Fars Province ◽

Risk Of Mortality ◽

Risk Patients ◽

Independent Risk Factors ◽

Development And Validation ◽

Underlying Diseases

Background:Patients who are identified to be at a higher risk of mortality from COVID-19 should receive better treatment and monitoring. This study aimed to propose a simple yet accurate risk assessment tool to help decision-making in the management of the COVID-19 pandemic. Methods: From Jul to Nov 2020, 5454 patients from Fars Province, Iran, diagnosed with COVID-19 were enrolled. A multiple logistic regression model was trained on one dataset (training set: n=4183) and its prediction performance was assessed on another dataset (testing set: n=1271). This model was utilized to develop the COVID-19 risk-score in Fars (CRSF). Results: Five final independent risk factors including gender (male: OR=1.37), age (60-80: OR=2.67 and >80: OR=3.91), SpO2 (≤85%: OR=7.02), underlying diseases (yes: OR=1.25), and pulse rate (<60: OR=2.01 and >120: OR=1.60) were significantly associated with in-hospital mortality. The CRSF formula was obtained using the estimated regression coefficient values of the aforementioned factors. The point values for the risk factors varied from 2 to 19 and the total CRSF varied from 0 to 45. The ROC analysis showed that the CRSF values of ≥15 (high-risk patients) had a specificity of 73.5%, sensitivity of 76.5%, positive predictive value of 23.2%, and negative predictive value (NPV) of 96.8% for the prediction of death (AUC=0.824, P<0.0001). Conclusion:This simple CRSF system, which has a high NPV,can be useful for predicting the risk of mortality in COVID-19 patients. It can also be used as a disease severity indicator to determine triage level for hospitalization.

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