The Significance of Everyday Life—An Ethnographic Study of Participation in Group-Based Patient Education

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53744#.VNHHdCzQrzE

ABSTRACT

Drawing on a social phenomenological perspective in the sociology of everyday life, this ethno-graphic field study explores different ways in which women with rheumatoid arthritis perceive participation in a patient education programme as significant to their everyday lives. In particular, there are three ways in which this participation is perceived as significant to everyday life: as identity work, as an extension of “action space” in the practicalities of everyday life, and as a special community based on a common chronic condition. Furthermore, we uncover a difference in terms of what programme participation means to recently diagnosed participants, on one hand, and experienced participants, on the other hand, which is related to differences in their lived experiences of living with and managing chronic illness. This ethnographic study provides an important understanding of how these women create meaning inter-subjectively through social interaction but interpret this meaning individually based on their individual biographical experiences. The findings are relevant both to those who study the significance of patient education (both practitioners and researchers) and to those who are exploring how individuals make sense of living with chronic illness.

Cite this paper

Kristiansen, T. , Antoft, R. , Primdahl, J. and Petersen, K. (2015) The Significance of Everyday Life—An Ethnographic Study of Participation in Group-Based Patient Education. Advances in Applied Sociology, 5, 81-93. doi: 10.4236/aasoci.2015.52007.

References

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http://dx.doi.org/10.1108/09654280210425985                                                           eww150204lx
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Predicting Depression among Jordanian Patients Diagnosed with Physical Illnesses

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52122#.VIkFx8nQrzE

ABSTRACT

Depression is associated with increased medical morbidity and mortality among patients with chronic medical illnesses. The purpose of this study was to investigate the psychosocial predictors of depression among patients diagnosed with chronic illnesses in Jordan. A cross sectional survey using 806 patients diagnosed with chronic illnesses has been used to collect data in regards to depressive symptoms, psychological distress, coping, optimism, life satisfaction, and perceived social support. 27.5% of the patients reported that they had moderate to severe depressive symptoms, and about 31% of them had mild level of depression. Psychological distress, perceived social support from family, life satisfaction and optimism were significant predictors of depressive symptoms (R2 = .29; F 11, 803 = 29.7, p < .001). Male and female patients were significantly different in their depressive scores (t = -2.57, p = .01). Implication for clinical practice and research are discussed.

Cite this paper

Hamdan-Mansour, A. , Ghannam, B. , Abeiat, D. , Badawi, T. , Thultheen, I. & Shamali, I. (2014). Predicting Depression among Jordanian Patients Diagnosed with Physical Illnesses. Psychology, 5, 2120-2130. doi: 10.4236/psych.2014.519214.

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http://dx.doi.org/10.1207/s15327752jpa5201_2                                                                           eww141211lx

Correlates of Depression among Patients Diagnosed with Chronic Illnesses in Saudi Arabia

Read  full  paper  at:

http://www.scirp.org/journal/PaperInformation.aspx?PaperID=48514#.VDtOlVfHRK0

ABSTRACT

Background: Depression contributes to an increased medical morbidity and mortality among patients with chronic medical illnesses. The purpose of this study was to investigate correlates of depression among patients diagnosed with chronic illnesses in Saudi Arabia. Methods: A cross sectional survey using 412 patients diagnosed with chronic illnesses has been used to collected data in regards to depressive symptoms, psychological distress, coping, and life satisfaction. Results: 25.2% of the patients reported that they had moderate to severe depressive symptoms, and about 13.8% of them had mild level of depression. Psychological distress and life satisfaction were significant correlates with depressive symptoms (r = 0.33, 0.54, p < 0.001), while coping strategies is not. The results also showed that there is a significant and negative correlation between patients’ age and depression score (r = 0.17, p ≤ 0.001). Regarding gender differences, the analysis showed that there was no significant difference between male and female patients in their depressive symptoms (t = ﹣0.69, p = 0.488). Conclusion: implication for clinical practice and research discussed.

Cite this paper

Aboshaiqah, A. (2014) Correlates of Depression among Patients Diagnosed with Chronic Illnesses in Saudi Arabia. Health, 6, 1895-1902. doi: 10.4236/health.2014.615222.

References

[1] Yach, D., Hawkes, C., Gould, C.L. and Hofman, K.J. (2004) The Global Burden of Chronic Diseases: Overcoming Impediments to Prevention and Control. Journal of the American Medical Association, 291, 2616-2622.
http://dx.doi.org/10.1001/jama.291.21.2616
[2] World Health Organization (2012) The Impact of Chronic Diseases in Saudi Arabia. Fact Sheet.
http://www.who.int/chp/chronic_disease_report/en/
[3] Doumit, J. and Nasser, R. (2010) Quality of Life and Wellbeing of the Elderly in Lebanese Nursing Homes. International Journal of Health Care, 23, 72-93.
[4] Sareen, J., Cox, B.J., Clara, I. and Asmundson, G. (2005) The Relationship between Anxiety Disorders and Physical Disorders in the US: National Comorbidity Survey. Depression & Anxiety, 21, 193-202.
http://dx.doi.org/10.1002/da.20072
[5] Katon, W., Lin, E.H. and Kroenke, K. (2007) The Association of Depression and Anxiety with Medical Symptom Burden in Patients with Chronic Medical Illness. General Hospital Psychiatry, 29, 147-155.
http://dx.doi.org/10.1016/j.genhosppsych.2006.11.005
[6] Frasure-Smith, N. and Lespérance, F. (2006) Recent Evidence Linking Coronary Heart Disease and Depression. The Canadian Journal of Psychiatry, 51, 730-715.
[7] Freedland, K.E., Rich, M.W., Skala, J.A., Carney, R.M., Dávila-Román, V.G. and Jaffe, A.S. (2003) Prevalence of Depression in Hospitalized Patients with Congestive Heart Failure. Psychosomatic Medicine, 65, 119-128.
http://dx.doi.org/10.1097/01.PSY.0000038938.67401.85
[8] Lustman, P.J., Anderson, R.J., Freedland, K.E., de Groot, M., Carney, R.M. and Clouse, R.E. (2000) Depression and Poor Glycemic Control. Diabetes Care, 23, 934-942.
http://dx.doi.org/10.2337/diacare.23.7.934
[9] Honyashiki, M., Ferri, C.P., Acosta, D., Guerra, M., Huang, Y., et al. (2011) Chronic Diseases among Older People and Co-Resident Psychological Morbidity: A 10/66 Dementia Research Group Population-Based Survey. International Psychogeriatric Association, 23, 1489-1501.
http://dx.doi.org/10.1017/S1041610211000500
[10] Wang, P.S., Demler, O., Olfson, M., Pincus, H.A., Wells, K.B. and Kessler, R.C. (2006) Changing Profiles of Service Sectors Used for Mental Health Care in the United States. The American Journal of Psychiatry, 163, 1187-1198.
http://dx.doi.org/10.1176/appi.ajp.163.7.1187
[11] Katon, W. (2003) Clinical and Health Services Relationships between Major Depression, Depressive Symptoms, and General Medical Illness. Biological Psychiatry, 54, 216-226.
http://dx.doi.org/10.1016/S0006-3223(03)00273-7
[12] Chen, P.Y. and Chang, H.C. (2012) The Coping Process of Patients with Cancer. European Journal of Oncology Nursing, 16, 10-16.
http://dx.doi.org/10.1016/j.ejon.2011.01.002
[13] Hamdan-Mansour, A., Halabi, J. and Dawani, H. (2009) Depression, Hostility, and Substance Use among University Students in Jordan. Mental Health and Substance Use: Dual Diagnosis, 2, 53-64.
http://dx.doi.org/10.1080/17523280802593301
[14] Beck, G., Steer, R. and Brown, G. (1996) Manual for the Beck Depression Inventory-II. Psychological Corporation, San Antonio.
[15] Lemyre, L., Tessier, R. and Eillion, L. (1990) Mesure du stress psychotogique (MSP): Manuel d’utilisation (Psychological Stress Measure). Editions Behaviora, Brossard.
[16] Carver, C.S. (1990) You Want to Measure Coping but Your Protocol’s Too Long: Consider the Brief COPE. International Journal of Behavioral Medicine, 4, 92-100.
http://dx.doi.org/10.1207/s15327558ijbm0401_6
[17] Diener, E., Emmons, R.A., Larsen, R.J. and Griffin, S. (1985) The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71-75.
http://dx.doi.org/10.1207/s15327752jpa4901_13
[18] Mathers, C.D. and Loncar, D. (2005) Updated Projections of Global Mortality and Burden of Disease 2002e2030: Data Sources, Methods and Results. World Health Organization, Geneva.
[19] Moussavi, S., Chatterji, S., Verdes, E., Tandon, A., Patel, A. and Ustun, B. (2007) Depression, Chronic Diseases, and Decrements in Health: Results from the World Health Surveys. Lancet, 370, 851-858.
http://dx.doi.org/10.1016/S0140-6736(07)61415-9
[20] Hotopf, M., Chidgey, J., Addington-Hall, J. and Ly, K.L. (2002) Depression in Advanced Disease: A Systematic Review, Part 1. Prevalence and Case Finding. Palliative Medicine, 16, 81-97.
http://dx.doi.org/10.1191/02169216302pm507oa
[21] Di Marcoa, F., Vergaa, M., Reggentea, M., Casanovaa, F.M., Santusa, P., Blasib, F., Allegrab, L. and Centannia, S. (2006) Anxiety and Depression in COPD Patients: The Roles of Gender and Disease Severity. Respiratory Medicine, 100, 1767-1774.
http://dx.doi.org/10.1016/j.rmed.2006.01.026                                                                             eww141013lx