A governmental model for special patients
AbstractBackground & Aim: Over the past decades, due to the high acceptance of patients in hospitals, the consequent relapse of the disease, the high cost of treatment and medication, the lack of coordination between the provision of hospital services and the needs of the community, the necessity of paying attention to the status of special patients and conducting a study for designing a suitable model in the country has been increased.Methods & Materials: This research is descriptive-correlation-exploratory and the data were collected through qualitative and quantitative methods. The research sample involves 392 persons in the quantitative section and 20 in the qualitative section. The research instrument was an open-ended questionnaire and a test; the data were collected using cluster sampling.Results: A total of 7 factors were identified as the final model of health management services for special patients, including: policymaking and load factor planning (0.72), organizational structure (0.63), government intervention methods in financing (0.81), control mechanism (0.88), government intervention in the affairs of special patients (0.79), pharmaceutical and therapeutic support services and medical aids (0.69), and educational support and prevention services (0.68). Also, the fitting of the designed model is 0.027, indicating appropriate fit for the model. Conclusion: Providing health services to patients by government has a significant role in the patient health services management, and prevention-based education, identification of primary risk factors, and preventing the epidemics and applying the pattern of health services management to special patients with all dimensions and emphasizing the effective role of government control over the provision of services can lead to presenting executive strategies over time.
Mossialos E, Thompson S. Voluntary health insurance in the European union Brussels. world health organization on behalf of the European observatory on health systems and policies 2004.
Vanaki Z, Parsa Yekta Z, Kazemnejad A, Heidarnia A. [Interpretation of Supporting Cancer Patients Under Chemotherapy: A Qualitative Research]. Thought and Behavior 2013; 9(1): 53-61. (Persian)
Gartner M, Fabrizii JP, Koban E, Holbik M, Machold LP, Smolen J, et al. Immediate access rheumatology clinic: efficiency and outcomes. Ann Rheum Dis 2012; 71: 363-368.
Marmot M, Wilkinson RG. Social determinants of health. Chronic Illness 2008; 14: 214-225.
Morse RL, Bottorff M, Neander J, Solberg H. Caregiver burden: historical development. Nursing Forum 2011; 33.
Hasanzadeh P, Ali Akbari Dehkordi M, Khamseh MI. [Social Support and Coping Strategies in Patients with Type 2 Diabetes]. Journal of Health Psychology 2012; 2. (Persian)
Cosley J, McCoy E, Saslow R, Elissa S. Is compassion for others stress buffering? Consequences of compassion and social support for physiological reactivity to stress. Journal of Experimental Social Psychology 2010; 3: 113-123.
Barry M, Kaplan RS, Norton DP. Model Policy subsidies allocated to specific diseases drugs using dynamical systems approach. Proceeding of the 8th Biennial Conference Australia and New Zealand 3rd Sector Research 2006; 26-28: 10-11.
Lorenzo H, laki E, Hemfoord L. Study the effects of social support on the ability to cope with cancer. Journal of Health Care Finance 2010; 34(1): 72- 99.
Faghani Abukhalili S, Mohajel Aghdam A, Rahmani A. [Surveying the need for supportive care and its relationship with perceived social support for cancer survivors]. Master's thesis, Postgraduate School and Midwifery 2014; Tabriz University of Medical Sciences. (Persian)
Ali Pourbaghi L. [The role of social support in improving the quality of life in hemodialysis patients]. Journal of Health Studies 2012; 3(12): 52-62. (Persian)
Biker, TL. [How to do social research]. Translate: Houshang Neyabi. Tehran: Ney; 2008. (Persian)