Trends in Gender within Participation Rate Percentages for the Years 2007-2016

2018 ◽  
Keyword(s):  
Participation Rate

Engaging Employees in the Innovation Process

2019 ◽  
Vol 10 (1) ◽  
pp. 17-23
Author(s):  
Bruce D. Fischer ◽  
◽  
Holly B. Bachman ◽  
Keyword(s):  
Continuous Improvement ◽  
Business Process ◽  
Business Process Reengineering ◽  
Idea Generation ◽  
Innovation Process ◽  
Participation Rate ◽  
Process Reengineering ◽  
Quality Circles ◽  
And Training

There is a lack of broad participation in most idea generating programs in American organizations. In this paper, we consider ways to increase the participation rate in generating ideas across organizations. These approaches include measuring innovation rates and reporting them, encouraging continuous improvement in idea generation, raising participation in programs such as Business Process Reengineering and Quality Circles, and training in creativity that includes team efforts at ideation. We also consider the importance of encouragement in helping employees to take the risks necessary to generate ideas.

Hungarian diet and nutritional status survey – The OTAP2009 study I. Nutritional status of the Hungarian population

2012 ◽  
Vol 153 (26) ◽  
pp. 1023-1030 ◽  
Author(s):  
Éva Martos ◽  
Viktória Anna Kovács ◽  
Márta Bakacs ◽  
Csilla Kaposvári ◽  
Andrea Lugasi
Keyword(s):  
Nutritional Status ◽  
Abdominal Obesity ◽  
Public Health Problem ◽  
Participation Rate ◽  
Population Level ◽  
Prevalence Of Obesity ◽  
Interview Survey ◽  
European Health ◽  
European Health Interview Survey ◽  
And Gender

Obesity is a leading public health problem, but representative data on measured prevalence among Hungarian adults has been missing since the late eighties. Aim and method: Joining in European Health Interview Survey the aim of the OTAP2009 study was to provide data representative by age and gender on the prevalence of obesity and abdominal obesity among Hungarian adults based on their measured anthropometric data. Results: Participation rate was 35% (n = 1165). Data shows that nearly two-thirds of adults are overweight or obese. 26.2% of men and 30.4% of women are obese. Prevalence of morbid obesity is 3.1% and 2.6% in men and women, respectively. Abdominal obesity is more prevalent among women than men (51.0% vs. 33.2%), and rate is increasing parallel with age in both gender. In elderly, 55% of men and almost 80% of women are abdominally obese. Conclusions: Besides interventions of population level for tackling obesity, individual preventive measures are indispensable. Orv. Hetil., 2012, 153, 1023–1030.

The relationship between output growth and unemployment in the Philippines economy (1990-2014):

2017 ◽  
Vol 5 (1) ◽  
pp. 49
Author(s):  
Marlon A. Mojica ◽  
Virgilio M. Tatlonghari
Keyword(s):  
Labor Force ◽  
Structural Break ◽  
Empirical Relationship ◽  
Trade Openness ◽  
Negative Relationship ◽  
Participation Rate ◽  
The Philippines ◽  
Output Growth ◽  
Recursive Least Squares ◽  
Parameter Instability

This paper examines the empirical relationship between unemployment and real output in the Philippines utilizing quarterly data from the Labor Force Survey by the Philippine Statistics Authority for the period from 1990-2014. The study employed three variants of Okun’s Law – the “gap” approach, the “first difference” approach, and a dynamic approach.   Findings show that the Okun’s coefficients based on the gap approach are consistent with the theoretical expectation of a negative relationship.  In the ARDL model, labor force participation rate and trade openness were found to be significantly related to unemployment. The result of dummy variable test revealed the presence of structural break following the re-definition of unemployment in the Philippines in 2005. Recursive least squares and rolling regressions show evidence of parameter instability in several sub-periods.

Measuring patient engagement among cancer patients in eHealth and mHealth interventions on symptom management: an integrated review (Preprint)

2020 ◽  
Author(s):  
Juqing Zhao ◽  
Pei Chen ◽  
Guangming Wan
Keyword(s):  
Cancer Patients ◽  
Patient Engagement ◽  
Symptom Management ◽  
Subjective Experience ◽  
Participation Rate ◽  
Sensor Data ◽  
Quality Of Data ◽  
Mhealth Intervention

BACKGROUND There has been an increase number of eHealth and mHealth interventions aimed to support symptoms among cancer survivors. However, patient engagement has not been guaranteed and standardized in these interventions. OBJECTIVE The objective of this review was to address how patient engagement has been defined and measured in eHealth and mHealth interventions designed to improve symptoms and quality of life for cancer patients. METHODS Searches were performed in MEDLINE, PsychINFO, Web of Science, and Google Scholar to identify eHealth and mHealth interventions designed specifically to improve symptom management for cancer patients. Definition and measurement of engagement and engagement related outcomes of each intervention were synthesized. This integrated review was conducted using Critical Interpretive Synthesis to ensure the quality of data synthesis. RESULTS A total of 792 intervention studies were identified through the searches; 10 research papers met the inclusion criteria. Most of them (6/10) were randomized trial, 2 were one group trail, 1 was qualitative design, and 1 paper used mixed method. Majority of identified papers defined patient engagement as the usage of an eHealth and mHealth intervention by using different variables (e.g., usage time, log in times, participation rate). Engagement has also been described as subjective experience about the interaction with the intervention. The measurement of engagement is in accordance with the definition of engagement and can be categorized as objective and subjective measures. Among identified papers, 5 used system usage data, 2 used self-reported questionnaire, 1 used sensor data and 3 used qualitative method. Almost all studies reported engagement at a moment to moment level, but there is a lack of measurement of engagement for the long term. CONCLUSIONS There have been calls to develop standard definition and measurement of patient engagement in eHealth and mHealth interventions. Besides, it is important to provide cancer patients with more tailored and engaging eHealth and mHealth interventions for long term engagement.

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