scholarly journals Health Utilities in Patients with Type 2 Diabetes in Taiwan

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1672
Author(s):  
Chia-Chia Chen ◽  
Jin-Hua Chen ◽  
Chien-Lung Chen ◽  
Tzu-Jung Lai ◽  
Yu Ko
Keyword(s):  
Ordinary Least Squares ◽  
Cost Utility ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health Utilities ◽  
Patients With Diabetes ◽  
Metropolitan Hospital ◽  
Related Quality ◽  
The Impact

We aimed to measure health utilities in patients with diabetes mellitus (DM) in Taiwan and to estimate the impact of common DM-related complications and adverse effects (AEs) on health utilities. The present study was a cross-sectional survey of DM patients at a metropolitan hospital. Respondents’ health-related quality of life (HRQoL) was assessed by the EQ-5D-5L, and ordinary least-squares (OLS) regression was used to estimate the impact of self-reported DM-related complications and AEs on health utilities after controlling for age, gender, and duration of DM. A total of 506 eligible adults with type 2 DM (T2DM) were enrolled. The EQ-5D index values in our study sample ranged from −0.13 to 1, with a mean ± standard deviation of 0.88 ± 0.20. As indicated by the negative regression coefficients, the presence of any complication or AE was associated with lower EQ-5D index values, and the greatest impact on the score was made by amputation (−0.276), followed by stroke (−0.211), and blindness (−0.203). In conclusion, the present study elicited health utilities in patients with T2DM in Taiwan using the EQ-5D-5L. These estimated utility decrements provided essential data for future DM cost–utility analyses that are needed as a result of the increasing prevalence and health expenditures of DM.

scholarly journals Analysis of the Impact of the Confinement Resulting from COVID-19 on the Lifestyle and Psychological Wellbeing of Spanish Pregnant Women: An Internet-Based Cross-Sectional Survey

2020 ◽  
Vol 17 (16) ◽  
pp. 5933 ◽  
Author(s):  
Gemma Biviá-Roig ◽  
Valentina Lucia La Rosa ◽  
María Gómez-Tébar ◽  
Lola Serrano-Raya ◽  
Juan José Amer-Cuenca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pregnant Women ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Eating Pattern ◽  
Before And After ◽  
Related Quality ◽  
Health Related ◽  
The Impact

(1) Background: This study aimed to analyze the impact of the confinement due to the COVID-19 pandemics on the eating, exercise, and quality-of-life habits of pregnant women. (2) Methods: This was an internet-based cross-sectional survey which collected information about adherence to the Mediterranean diet, physical exercise, health-related quality of life (HRQoL), and perceived obstacles (in terms of exercise, preparation for delivery, and medical appointments) of pregnant women before and after the confinement. The survey was conducted in 18–31 May 2020. (3) Results: A total of 90 pregnant women participated in this study. There was a significant decrease in the levels of physical activity (p < 0.01) as well as in HRQoL (p < 0.005). The number of hours spent sitting increased by 50% (p < 0.001), 52.2% were unable to attend delivery preparation sessions because these had been cancelled. However, there were no significant differences in the eating pattern of these women (p = 0.672). Conclusions: These results suggest the need to implement specific online programs to promote exercise and reduce stress, thus improving the HRQoL in this population, should similar confinements need to occur again for any reason in the future.

scholarly journals Does where you live matter? : physical characteristics of neighbourhoods and type 2 diabetes in Toronto ; a cross sectional survey of ethnoracial groups living in St. James Town and Flemingdon Park

2021 ◽  
Author(s):  
Anne-Marie Tynan
Keyword(s):  
Type 2 Diabetes ◽  
Diabetes Education ◽  
Grocery Stores ◽  
Education Programs ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Individual Level ◽  
Self Reported Health Status ◽  
The Impact

The purpose of this study is to explore the impact of neighbourhood on type 2 diabetes among a sample of immigrants attending diabetes education programs in Toronto. Flemingdon Park (FP) has higher overall rates of diabetes than does St. James Town (SJ), even though both areas share similar socio-economic and immigrant profiles. A cross-sectional survey administered to participants of Diabetes Education Programs at Flemingdon and Sherbourne Health Centres asked questions about proximity of resources such as grocery stores, walking, biking trails, parks, access to and availability of recreation sites, public transit, social support and self-reported health status. The results provide individual-level information on the impact of neighbourhood and other social determinants on type 2 diabetes among a sample of immigrants. While the results support the notion that 'where you live' does matter, bigger sample size and further study are needed.

scholarly journals Concern about addiction is associated with lower quality of life in patients with osteoarthritis: an exploratory, real-world data analysis

2021 ◽  
Author(s):  
Louis P. Garrison ◽  
Patricia Schepman ◽  
Andrew G. Bushmakin ◽  
Rebecca L. Robinson ◽  
Leslie Tive ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Real World ◽  
Ordinary Least Squares ◽  
Cross Sectional Survey ◽  
Real World Data ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related ◽  
Index Value

Abstract Purpose To evaluate the relationship between self-reported concerns about becoming addicted to a medication and health-related quality of life (HRQoL) in patients with osteoarthritis (OA). Methods This real-world study used patient-level cross-sectional survey data collected from the US Adelphi Disease Specific Programme (DSP). The DSP for OA selected 153 physicians who collected de-identified data on their next nine adult patients with OA. Each patient completed a disease-relevant survey, which included the Likert-scale question, “I am concerned about becoming addicted to my medicine,” (CAA) with responses ranging from “completely disagree” [1] to “completely agree” [5]. HRQoL was measured by the EQ-5D-5L index value and the EQ Visual Analogue Scale (VAS). A set of ordinary least squares regressions using HRQoL measures as outcomes and CAA as a continuous predictor were estimated. Standardized effect size (ES) was used to gauge the magnitude of effects. Results A total of 866 patients with OA completed the survey (female, 61.2%; White, 77.7%; mean age, 64.2 years). Of the 775 patients who completed the CAA question, almost one-third responded that they “agree” (18%) or “completely agree” (11%), while 27% responded “completely disagree” and 20% “disagree.” Regression analyses found that patients who have concerns about medication addiction have significantly different EQ-5D-5L index values and EQ VAS scores compared with patients who do not have this concern (p < 0.0001). Conclusion Our findings suggest that concern about medication addiction in patients with OA may have an impact on patient HRQoL, with more concerned patients reporting poorer HRQoL outcomes.

scholarly journals Does Internet and Information Technology Help Farmers to Maximize Profit: A Cross-Sectional Study of Apple Farmers in Shandong, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 390
Author(s):  
Fuhong Zhang ◽  
Apurbo Sarkar ◽  
Hongyu Wang
Keyword(s):  
Information Technology ◽  
Value Chain ◽  
Marketing Channel ◽  
Ordinary Least Squares ◽  
Marketing Channels ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Agricultural Income ◽  
Sales And Marketing ◽  
The Impact

The adoption of Internet and Information Technology (IIT) in organizations has been growing at a staggering pace. In agriculture, IIT has emerged from the prospects of modern agricultural structure, which profoundly bring revolution in the way of agribusiness. While the impacts of IIT for selecting productive sales and marketing channels is evidenced by the substantial literature in the field, there is a crucial research scope of inclusive analytical views, especially in an economics context. The prime objective of the article is to assess the impacts of IIT for choosing a productive sales and marketing channel. Moreover, we tend to find whether the usage of IIT can eventually foster the profitability of the farmers. The empirical set of data is collected from a cross-sectional survey conducted in Shandong province, China. We utilize the Ordinary Least-Squares (OLS) regression, propensity score matching (PSM), and Heckman’s two-stage regression approaches to craft the findings. The greater extent of the use of IIT, the more significant and positive the impact of agricultural income is. After using the Heckman regression and PSM model, IIT’s use significantly increases the efficiency for selecting the sales channel, and the impact on agricultural income is also prominent (around 40%). We also find that the supporting and nonagricultural income exceeded 30%. Finally, the outcomes of the study reveal significant positive impacts for selecting productive sales and marketing channels. On the basis of these findings, it is suggested that the government and relevant departments should strengthen the construction of agricultural information platforms and websites. Authorities should also extend the training facilities of fruit farmers regarding the use of IIT, which could be useful to boost the capability of fruit farmers to develop markets and promote the value chain.

scholarly journals Mapping the FACT-G to EQ-5D Utility Index in Cancer: Data From a Cross-sectional Study in China

2020 ◽  
Author(s):  
ZhiKui He ◽  
Li Yang ◽  
WenJie Liang ◽  
WenJia Xu ◽  
WenXiu Huang ◽  
...  
Keyword(s):  
Regression Models ◽  
Mean Squared Error ◽  
Explanatory Power ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Cost Utility ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Cancer Data ◽  
Utility Index

Abstract ObjectiveThis study aimed to develop a function for mapping the cancer-specific instrument (FACT–G) to a preference-based measure (EQ-5D-3L) utility index for HRQoL, in which the utility scores were generated using the Chinese value set.MethodThe data are based on a cross-sectional survey of 243 patients in China with different cancer types. Cancer patients who completed the EQ-5D-3 L and the FACT-G questionnaire, and patient demographics and clinical characteristics were included in this study. Regression models were used to predict the EQ-5D-3L utility index values based on four subscale scores of the FACT-G using the ordinary least squares (OLS) model, generalized linear models (GLM), censored least absolute deviations (CLAD), Tobit model, and two-part model (TPM) regression approaches. The performance and predictive power of each model were also evaluated using r2 and adj- r2, mean absolute error (MAE) and root mean squared error (RMSE).ResultsThe introduction of the square term and the interaction term improves the accuracy of the model. The social well-being subscale of the FACT-G was not associated with the EQ-5D-3L utility index, whereas, the physical, emotional, functional well-being, and FACT-G total scores were derived when mapping the FACT-G to the EQ-5D-3L utility index. For the FACT-G, the OLS model was the best at predicting mean EQ-5D-3L values among all the regression models and has 70% explanatory power for the observed EQ-5D-3L variation. Nevertheless, the OLS model overpredicted utilities for poorer health states and underestimated utilities for those with better health. The result of the OLS model, GLM, and CLAD models were similar to the MAE, MSE, and RMSE.ConclusionThe algorithm based on Chinese population development for mapping the FACT-G into the EQ-5D-3L utility index can be realized. We also recommend that OLS models be used to assess the economic evaluation of patients' health-related quality of life when the population is in moderate to good health for further cost-utility analysis in China.

scholarly journals Factors Associated with Health-Related Quality of Life among Saudi Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Survey

2014 ◽  
Vol 38 (3) ◽  
pp. 220 ◽  
Author(s):  
Ayman A. Al Hayek ◽  
Asirvatham A. Robert ◽  
Abdulghani Al Saeed ◽  
Aus A. Alzaid ◽  
Fahad S. Al Sabaan
Keyword(s):  
Quality Of Life ◽  
Health Related Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Associated ◽  
Related Quality ◽  
Health Related ◽  
Saudi Patients
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