A Survey on Satisfaction of Type 2 Diabetes Patients with Different Demographic Variables to Medical Services

Medical service quality evaluation based on LDA and sentiment analysis: Examples of seven chronic diseases

Objective

In this article, we investigate how chronic noncommunicable disease (CND) patients evaluate the medical service, and what obstacles exist in this process, which is useful for hospitals to improve efficiency and enhance patient satisfaction.

Methods

Based on the total number of CND patients in China, 7 CNDs were selected as the evaluation objects, and then selected the Haodaifu website as the data source, crawled 15,682 medical service reviews, then the 9 themes were analyzed by the LDA theme model. The evaluation index system of six indicators was constructed based on quality management theory. The binary long short-term memory model was used to analyze the sentiment, and the entropy-valued, TOPSIS and gray correlation model was implemented for medical service quality evaluation; the barrier model was used to find out the key factors limiting medical services.

Results

(a) Hypertension was rated at a good level in the degree of gray correlation closeness, bronchitis was rated at a low level and the rest were at an intermediate level. (b) The first two overall barriers were the hospitalization process and registration services which occupy about 30%, respectively. This implies that hospitals should focus on providing registration services and inpatient settings in the future.

Conclusion

To promote hospitals to provide better services for patients with CNDs and improve patient satisfaction with medical care. And it is necessary to optimize medical services fundamentally by optimizing the inpatient process and improving the registration process to improve efficiency.

The effectiveness of daily humanistic care in pharmaceutical care of patients with type 2 diabetes

Although the current methods of pharmaceutical care have demonstrably improved pathogenic condition and humanistic health outcomes of patients with type 2 diabetes, lacking humanistic care limits its reach and effectiveness. The purpose of this study was to evaluate the effectiveness of daily humanistic care reminders in pharmaceutical care of patients with type 2 diabetes. A total of 1200 patients with type 2 diabetes were recruited. The control group received only pharmaceutical care, whereas the intervention group received extra humanistic care from clinical pharmacists. Biochemical data, levels of quality of life, satisfaction, and self-care behavior and relationships between humanistic care and glycemic control were collected before and after 12-month intervention. Humanistic care increased levels of quality of life, satisfaction, self-efficacy and self-care behavior score, decreased blood pressure, glycosylated hemoglobin A1c (HbA1c), blood lipid, fasting blood glucose, postprandial 2-h blood glucose (PPG), inflammation, and insulin resistance after 12-month follow up. Humanistic care showed a positive correlation with glycemic control and negative relationship with HbA1c in patients with type 2 diabetes. There was a positive correlation between humanistic care and glycemic control (R = 0.641, P < .01) and a negative relationship between humanistic care and HbA1c in patients with type 2 diabetes (r = -0.482, P < .01). In conclusion, humanistic care could improve the control of overall clinical outcomes and enhanced medication adherences, which play an important role in the management of patients with type 2 diabetes.

Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019)

Recently, healthcare has undergone a sector-wide transformation thanks to advances in computing, networking technologies, big data, and artificial intelligence. Healthcare is not only changing from being reactive and hospital-centered to preventive and personalized, but it is also changing from being disease focused to well-being centered. Healthcare systems, as well as fundamental medicine research, are becoming smarter and enabled in biomedical engineering. This special issue on "Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare, and Sustainability (IEEE ECBIOS 2019)" selected nine excellent papers from 160 papers presented at IEEE ECBIOS 2019 on the topics of environmental health sciences and public health. Our aim is to encourage scientists to publish their experimental and theoretical research to promote scientific predictions and impact assessments of global change and development.