FACTORS INFLUENCING PATIENTS’ INTENTION TO BYPASS TO HIGHER-LEVEL HOSPITALS IN NORTHERN VIETNAM

Authors

  • Pham Van Tuan PhD. National Economics University, Ha Noi, Viet Nam Author

DOI:

https://doi.org/10.61841/eab8an23

Keywords:

Reference group, Perceived Behavioral Control, Attitudes, Hospital self-transferring, Bypass

Abstract

Patients (bypassing to higher level hospital) tend to bypass nearby hospitals then self-transfer to higher-hospitals in recent years which causes hospital overcrowding. There is a huge impact on financial costs, time as well as the risk of cross-infection in hospitals, on drug resistance during treatment later. At the same time, it affects the management and payment of hospital fees of Vietnam Social Insurance.Quantitative research was conducted on stratified randomized samples of 315 patients in the Northern provinces from November 2019 to February 2020. The survey mainly takes place in populous provinces. The questionnaire was developed to collect data on patient characteristics, the impact of the reference group on perceptions and attitudes, the reasons leading to overtaking. In addition, interviews with a group of behavioral experts and leading medical doctors in Vietnam. The authors used SPSS software to analyze the EFA discovery factor and AMOS 22.0 software to analyze the CFA affirmation factor. The results of the study show that the factors of Hospital, Reference group, Awareness and Attitude positively impacted the intention to bypass to higher level hospital; in which attitude had the most positive impact (0.332) and Reference group had less impact than the other three factors (0.249). In addition, the Reference Group has a positive influence on Awareness (0.295) and Attitude (0.177). The research gap of the topic is to consider the influence of the reference group on attitudes and behaviors bypassing to higher level hospital of patients in Northern Vietnam.

 

 

 

Downloads

Download data is not yet available.

References

1. Ministry of Health (2013). Circular: Providing For Technical And Professional Levels In The Network Of Health Facilities, No. 43/2013/TT-BYT, December 11 2013.

2. Ministry of Health (2017). Guidance: How to implement a pilot model at 26 commune health stations from 2018 to 2020, No 1383/HD-BYT. Bộ Y tế (2017). Hướng dẫn: Triển khai mô hình điểm tại 26 trạm y tế xã 2018-2020, số 1383/HD-BYT.

3. Ministry of Health (2018). Health Report on October 12, 2018 Bộ Y tế (2018). Điểm tin Y tế ngày 12/10/2018.

4. Nguyen Dinh Tho, Nguyen Thi Mai Trang (2007). Study on Science of Marketing – Apply the Structural Equation Model (SEM), published by Vietnam National University in Hồ Chí Minh City. Nguyễn Đình Thọ và Nguyễn Thị Mai Trang (2007). Nghiên cứu khoa học marketing - Ứng dụng mô hình cấu trúc tuyến tính SEM, NXB Đại học Quốc gia TP. HCM.

5. Nguyen Khanh Duy (5/2009). Lecture on practicing Structural Equation Model (SEM) with AMOS software, the first draft, published by Vietnam National University in Ho Chi Minh City. Nguyễn Khánh Duy (5/2009). Bài giảng thực hành mô hình cấu trúc tuyến tính (SEM) với phần mềm AMOS, bản thảo lần 1, ĐH Kinh tế TP. HCM.

6. Nguyen Nam Liem (Department manager of Financial Strategy Department, Ministry of Health) (2018). Closing conference between Ministry of Health and Ministry of Finance: “When will medical facilities pull their weight as ‘the gate guard’?” Nguyễn Nam Liêm (Vụ trưởng Vụ Kế hoạch Tài chính, Bộ Y tế) (2018). Hội nghị tổng kết của Bộ Y tế và Bộ Tài chính: “Khi nào Y tế cơ sở tròn vai “người gác cổng”?

7. Nguyen Viet Tri, Lam Hong Son, Vo Thi Diem (2015). Assess the bypass situation according to Circular No 14/2014/TT-BYT at Ca Mau Obstetrics and Pediatrics Hospital in 2015. Nguyễn Việt Trí, Lâm Hồng Son, Võ Thị Diễm (2015). Đánh giá tình hình chuyển tuyến theo quy định của thông tư 14/2014/TT-BYT tại Bệnh viện sản nhi Cà Mau năm 2015.

8. Nguyen Tran Huu Tuan et al (2019). The situation of bypassing of Emergency and Intensive care department at Hoc Mon regional Hospital in 2018-2019. Nguyễn Trần Hữu Tuấn và cộng sự (2019). Thực trạng chuyển tuyến của khoa hồi sức cấp cứu bệnh viện đa khoa khu vực Hóc Môn năm 2018-2019.

9. Phung Thi Hong Ha, Tran Thi Thu Hien (2012). Assess the customer satisfaction of medical service at Viet Nam – Cu Ba (Dong Hoi – Quang Binh province). Phùng Thị Hồng Hà, Trần Thị Thu Hiền (2012). Đánh giá sự hài lòng của khách hàng sử dụng dịch vụ y tế tại bệnh viện Việt Nam - Cu Ba Đồng Hới - Quảng Bình.

10. Parliament (2014). Law: Amendments to the law on Health Insurance, No. 46/2014/QH13. Quốc hội (2014). Luật: Sửa đổi, bổ sung một số điều luật của bảo hiểm y tế, số 46/2014/QH13.

11. MA. Ho Bach Nhat (2014). The inpatient satisfaction of medical and examination service in hospitals in Long Xuyen city. ThS. Hồ Bạch Nhật (2014). Sự hài lòng của bệnh nhân nội trú đối với chất lượng dịch vụ khám chữa bệnh của các bệnh viện tại thành phố Long Xuyên.

12. Tran Thi Ngoc (2016). Thematic internship report: “Study on the influence of reference group towards the behavior to choose medical and examination service of North citizen, Viet Nam”. Trần Thị Ngọc (2016). Chuyên đề thực tập “Nghiên cứu ảnh hưởng của nhóm tham khảo đến hành vi lựa chọn dịch vụ khám chữa bệnh của cư dân tại miền Bắc”.

13. General Statistics Office of Vietnam (2018). Number of patient beds in 2018 by province

14. PhD. Khuong Anh Tuan et al, Health Strategy and Policy Institute (2017). Assess the overcrowding situation in hospitals in Hanoi and Ho Chi Minh city and recommend solutions. TS. Khương Anh Tuấn và cộng sự, Viện Chiến lược và Chính sách Y tế (2017). Đánh giá tình hình quá tải của một số bệnh viện tại Hà Nội và thành phố Hồ Chí Minh và đề xuất giải pháp khắc phục.

15. Health Strategy and Policy Institute (2013). Study on current situation of overcrowding, under-crowding in hospitals at levels and recommended solutions for improvement.

16. Adams, K., Houchens, R., Wright, G., and Robbins, J., (1991) Predicting hospital choice for rural Medicare beneficiaries: the role of severity of illness. Health Serv. Res. 26:583–612.

17. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

18. Bentler, P. M. (1990). Comparative Fit Indexes in Structural Models. Psychological Bulletin 107.2 (February): 238-246.

19. Birk et al., (2011). Patients’ experience of choosing an outpatient clinic in one county in Denmark: results of a patient survey.

20. Buczko, W., (1992). What affects rural beneficiaries use of urban and rural hospitals? Health Care Financ. Rev. 14:107–115.

21. Buczko, W., (1994). Bypassing of local hospitals by rural Medicare beneficiaries. J. Rural Health. 10:237–246.

22. Christina L. Jonesa , Jakob D. Jensenb, Courtney L. Scherrc, Natasha R. Brownd, Katheryn Christye & Jeremy Weaverf (2014). The Health Belief Model as an Explanatory Framework in Communication Research: Exploring Parallel, Serial, and Moderated Mediation.

23. David S. Martin, Zo Ramamonjiarivelo and Warren S. Martin (2011). MEDTOUR: a scale for measuring medical tourism intentions.

24. Dr. Ali Mohammad Mosadeghrad (2013). Factors Influencing Healthcare Service Quality.

25. de Cruppé W, Geraedts M. (2017). Wie wählen Patienten ein Krankenhaus für elektive operative Eingriffe? How do patients choose a hospital for elective surgery?

26. E. Kathleen Adams and George E. Wright (1991). Hospital Choice of Medicare Beneficiaries in a Rural Market: Why Not the Closest?

27. Fisher, J. D. (1988). Possible effects of reference group-based social influence on AIDS-risk behavior and AIDS-prevention. American Psychologist, 43 (11), 914–920.

28. George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14(3), 198-212.

29. Goldsteen, R., Falcone, D., Broyles, R., Goldsteen, K., and Reily, B., (1994). Local factors affecting the tendency to bypass local hospitals for inpatient mental health care: An exploratory analysis. J. Rural Health. 10:89–97.

30. Hair, Jr. J. F, Anderson, R. E. Tatham, R. L. & Black, W. C. (1998). Multivariate Data Analysis, 5th ed, Upper Saddle River Prentice-Hall.

31. Hardin, C. D., & Higgins, E. T. (1996). Shared reality: How social verification makes the subjective objective. In R. M. Sorrentino & E. T. Higgins (Eds.), Handbook of motivation and cognition: The interpersonal context (pp. F29–84). New York, NY: Guilford Press.

32. Hawkins, D. I., Best, R. J., & Coney, K. A. (2001). Consumer behavior, building marketing strategy (8th ed.). Homewood, IL, New York: Irwin, McGraw-Hill.

33. Ing-Long Wu, Jian-Liang Chen (2005). An extension of Trust and TAM model with TPB in the initial adoption of online tax: An empirical study.

34. Jilan Ali Ibrahim Al- Battawi, Wafaa Ahmad Ibrahim (2017). Applying Health Belief Model to Predict Factors influencing Women decision regarding Mode of Delivery.

35. Kara Chan (2000). Environmental Consideration in Purchase Decisions of Hong Kong Consumers.

36. Kettinger, William J. and Choong C. Lee. (1995). “Perceived Service Quality and User Satisfaction with the Information Services Function”, Decision Sciences 25.5-6 (Sept:Oct-Nov:Dec): 737-766.

37. Levy, D., & Lee, C. K.-C. (2004). The influence of family members on housing purchase decisions. Journal of Property Investment & Finance, 22(4), 320-338.

38. Liu Y, Kong Q, Yuan S, van de Klundert J (2018). Factors influencing choice of health system access level in China: A systematic review.

39. Mohamad hasnan Ahmad, Suzana Shahar, nur Islami Mohd, Fahmi Teng, Zahara Abdul Manaf, noor Ibrahim Mohd sakian, Baharudin Omar (2014). Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly.

40. Rebecca Cameron, Harvey Ginsburg, Michael Westhoff and Roque V. Mendez (2012). Ajzen’s Theory of Planned Behavior and Social Media Use by College Student.

41. Sherif, M. (1935). A study of some social factors in perception. Archives of Psychology, 27, 187.

42. Sander SR et al., (2014). Patient Bypass Behavior and Critical Access Hospitals: Implications for Patient Retention.

43. Sandra K. Smith Gooding (1994). Hospital Outshopping and Perceptions of Quality: Implications for Public Policy.

44. U.S. Public Health Service (1950). The Health Belief Model (HBM).

45. Wiedenhöfer D & Keppler S (2015). Hospital choice in Germany from the patient’s perspective: a cross-sectional study.

Downloads

Published

31.10.2020

How to Cite

Tuan, P. V. (2020). FACTORS INFLUENCING PATIENTS’ INTENTION TO BYPASS TO HIGHER-LEVEL HOSPITALS IN NORTHERN VIETNAM. International Journal of Psychosocial Rehabilitation, 24(8), 5837-5851. https://doi.org/10.61841/eab8an23