scholarly journals Predicting Patients' Satisfaction With Doctors in Online Medical Communities

2022 ◽  
Vol 34 (4) ◽  
pp. 1-17
Author(s):  
Yunhong Xu ◽  
Guangyu Wu ◽  
Yu Chen

Online medical communities have revolutionized the way patients obtain medical-related information and services. Investigating what factors might influence patients’ satisfaction with doctors and predicting their satisfaction can help patients narrow down their choices and increase their loyalty towards online medical communities. Considering the imbalanced feature of dataset collected from Good Doctor, we integrated XGBoost and SMOTE algorithm to examine what factors and these factors can be used to predict patient satisfaction. SMOTE algorithm addresses the imbalanced issue by oversampling imbalanced classification datasets. And XGBoost algorithm is an ensemble of decision trees algorithm where new trees fix errors of existing trees. The experimental results demonstrate that SMOTE and XGBoost algorithm can achieve better performance. We further analyzed the role of features played in satisfaction prediction from two levels: individual feature level and feature combination level.

Author(s):  
Ghasem Zarei ◽  
Hajieh Ghorbani Ardahaei

Background: The willingness to pay is criteria criterion for measuring the patients' interest to continue their relationship with health centers. The main purpose of this study was to determine the effect of service quality and informing system of hospitals on the patient's willingness to pay with mediating role of patient satisfaction. Methods: This is an applied survey. The statistical population of this study consisted of all patients referring to Imam Khomeini Hospital in Sarab City during the first six months of 2019. Random sampling method was applied and 390 questionnaires were distributed among the patients. Data gathering tools included researcher made questionnaire with confirmed validity and reliability. Experts’ opinion and confirmatory factor analysis were used to confirm the validity. Cronbach's alpha method and combined reliability coefficient were used for reliability. Data were analyzed using structural equation modeling (SEM) test by partial least squares method. To analyze the data, SPSS 20 and Smart PLS 3 software were used. Results: Among the distributed questionnaires, 300 ones were completed and returned. According to the descriptive statistics, mean score of service quality, hospital information system, patient satisfaction, and willingness to pay were 2.98, 2.81, 3.44, and 2.67, respectively. The results obtained from the inferential analysis showed that the quality of services had a significant effect on patients’ satisfaction and willingness to pay. Moreover, the information system had a significant effect on patients’ satisfaction and patients' satisfaction had a significant effect on the willingness to pay. The impact of the information system on the willingness to pay was not confirmed. Conclusion:  Based on the findings, changes in the quality of hospital informing system and service quality with the mediating role of patients’ satisfaction affected their willingness to pay.  


1999 ◽  
Vol 4 ◽  
pp. 31-86 ◽  
Author(s):  
R. Katilius ◽  
A. Matulionis ◽  
R. Raguotis ◽  
I. Matulionienė

The goal of the paper is to overview contemporary theoretical and experimental research of the microwave electric noise and fluctuations of hot carriers in semiconductors, revealing sensitivity of the noise spectra to non-linearity in the applied electric field strength and, especially, in the carrier density. During the last years, investigation of electronic noise and electron diffusion phenomena in doped semiconductors was in a rapid progress. By combining analytic and Monte Carlo methods as well as the available experimental results on noise, it became possible to obtain the electron diffusion coefficients in the range of electric fields where inter-electron collisions are important and Price’s relation is not necessarily valid. Correspondingly, a special attention to the role of inter-electron collisions and of the non-linearity in the carrier density while shaping electric noise and diffusion phenomena in the non-equilibrium states will be paid. The basic and up-to-date information will be presented on methods and advances in this contemporary field - the field in which methods of non-linear analytic and computational analysis are indispensable while seeking coherent understanding and interpretation of experimental results.


2020 ◽  
pp. 074391562098472
Author(s):  
Lu Liu ◽  
Dinesh K. Gauri ◽  
Rupinder P. Jindal

Medicare uses a pay-for-performance program to reimburse hospitals. One of the key input measures in the performance formula is patient satisfaction with their hospital care. Physicians and hospitals, however, have raised concerns especially about questions related to patient satisfaction with pain management during hospitalization. They report feeling pressured to prescribe opioids to alleviate pain and boost satisfaction survey scores for higher reimbursements. This over-prescription of opioids has been cited as a cause of current opioid crisis in the US. Due to these concerns, Medicare stopped using pain management questions as inputs in its payment formula. We collected multi-year data from six diverse data sources, employed propensity score matching to obtain comparable groups, and estimated difference-in-difference models to show that, in fact, pain management was the only measure to improve in response to pay-for-performance system. No other input measure showed significant improvement. Thus, removing pain management from the formula may weaken the effectiveness of HVBP program at improving patient satisfaction, which is one of the key goals of the program. We suggest two divergent paths for Medicare to make the program more effective.


Epidemiologia ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 84-94
Author(s):  
Mst. Marium Begum ◽  
Osman Ulvi ◽  
Ajlina Karamehic-Muratovic ◽  
Mallory R. Walsh ◽  
Hasan Tarek ◽  
...  

Background: Chikungunya is a vector-borne disease, mostly present in tropical and subtropical regions. The virus is spread by Ae. aegypti and Ae. albopictus mosquitos and symptoms include high fever to severe joint pain. Dhaka, Bangladesh, suffered an outbreak of chikungunya in 2017 lasting from April to September. With the goal of reducing cases, social media was at the forefront during this outbreak and educated the public about symptoms, prevention, and control of the virus. Popular web-based sources such as the top dailies in Bangladesh, local news outlets, and Facebook spread awareness of the outbreak. Objective: This study sought to investigate the role of social and mainstream media during the chikungunya epidemic. The study objective was to determine if social media can improve awareness of and practice associated with reducing cases of chikungunya. Methods: We collected chikungunya-related information circulated from the top nine television channels in Dhaka, Bangladesh, airing from 1st April–20th August 2017. All the news published in the top six dailies in Bangladesh were also compiled. The 50 most viewed chikungunya-related Bengali videos were manually coded and analyzed. Other social media outlets, such as Facebook, were also analyzed to determine the number of chikungunya-related posts and responses to these posts. Results: Our study showed that media outlets were associated with reducing cases of chikungunya, indicating that media has the potential to impact future outbreaks of these alpha viruses. Each media outlet (e.g., web, television) had an impact on the human response to an individual’s healthcare during this outbreak. Conclusions: To prevent future outbreaks of chikungunya, media outlets and social media can be used to educate the public regarding prevention strategies such as encouraging safe travel, removing stagnant water sources, and assisting with tracking cases globally to determine where future outbreaks may occur.


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