Depression in women; perceptions do matter in the development of a community-based intervention

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Pillaveetil Sathyadas Indu, MBBS, MD, DPM, PhD, FRCP http://orcid.org/0000-0002-2282-7661 Thekkethayyil Viswanathan Anilkumar, MBBS, DPM, DNB, PhD Krishnapillai Vijayakumar, MD K. A. Kumar, MD P. Sankara Sarma, PhD Saradamma Remadevi, PhD Chittaranjan Andrade, MD

Abstract

Depression is two times more prevalent among women; however women’s access to mental health care is poor and many do not seek care even when they are referred to a mental health professional.  We conducted a qualitative study to understand the perception of key stakeholders about the burden of depression in women, its risk factors and barriers to seek care, with a view to develop a community based intervention to manage depression among women.  We interviewed women with depression, their family members, community volunteers, multipurpose health workers, primary care physicians (PCPs), psychiatrists, psychologists, social scientists, public health experts, gender experts, administrators and policy makers. The 49 audio-recorded in-depth interviews and one focus group discussion were transcribed, free-listed, coded and content analysis was performed. Stakeholders perceived that burden of depression was substantial; but mostly unidentified because complaints were somatic or anxiety-related and in many situations symptoms of depression remained unvoiced. The suggestions from stakeholders were consolidated as follows; community and family level interventions should address gender issues, autonomy of women, alcohol use among partner, marital conflicts, domestic violence, financial problems, and unemployment. Partners and other family members need to share the routine household responsibilities. Primary care is an ideal setting to implement a sustainable intervention for depression management, with re-orientation and training of existing health care providers. However there were explicit differences in the perceptions of women with depression and many other stakeholders regarding who should be involved to provide psycho social interventions. Many health workers, local leaders and community volunteers suggested involving local volunteers for social support; however, women and their family members preferred the multipurpose health workers.  Multipurpose health workers, who carry out home visits, as part of their routine work, were the most acceptable to women with depression. Multipurpose workers can screen for depression at the field level, refer the screened positive women to primary care physicians for diagnosis and treatment and provide psychosocial support. Primary care physicians can provide the drug treatment and supervise psychosocial intervention provided by multipurpose workers or junior public health nurses. We propose a model for community based intervention, which is more relevant for settings with limited resources in mental health care.

Keywords: Depression in women, Kerala, perceived burden of depression, barriers to treatment seeking in depression, primary care physician, multipurpose health worker, community based depression intervention programme

Article Details

How to Cite
INDU, Pillaveetil Sathyadas et al. Depression in women; perceptions do matter in the development of a community-based intervention. Medical Research Archives, [S.l.], v. 12, n. 11, nov. 2024. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/6047>. Date accessed: 12 dec. 2024. doi: https://doi.org/10.18103/mra.v12i11.6047.
Section
Research Articles

References

1. Indu, P. S., Anilkumar, T. V., Pisharody, R., Russell, P. S. S., Raju, D., Sarma, P. S., ... & Andrade, C. (2017). Prevalence of depression and past suicide attempt in primary care. Asian journal of psychiatry, 27, 48-52.

2. Moitra, M., Santomauro, D., Collins, P. Y., Vos, T., Whiteford, H., Saxena, S., & Ferrari, A. J. (2022). The global gap in treatment coverage for major depressive disorder in 84 countries from 2000–2019: A systematic review and Bayesian meta-regression analysis. PLoS medicine, 19(2), e1003901.

3. Murthy, R. S. (2017). National mental health survey of India 2015–2016. Indian journal of psychiatry, 59(1), 21-26.

4. Pereira, B., Andrew, G., Pednekar, S., Pai, R., Pelto, P., & Patel, V. (2007). The explanatory models of depression in low income countries: listening to women in India. Journal of affective disorders, 102(1-3), 209-218.

5. Alang, S. M. (2016). “Black folk don't get no severe depression”: meanings and expressions of depression in a predominantly black urban neighborhood in Midwestern United States. Social science & medicine, 157, 1-8.

6. Indu, P. S., Anilkumar, T. V., Vijayakumar, K., Kumar, K. A., Sarma, P. S., Remadevi, S., & Andrade, C. (2018). Effectiveness of community-based depression intervention programme (ComDIP) to manage women with depression in primary care-randomised control trial. Asian journal of psychiatry, 34, 87-92.

7. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care. 2007. Volume 19, Number 6: pp. 349 – 357

8. Rodrigues, M., Patel, V., Jaswal, S., & De Souza, N. (2003). Listening to mothers: qualitative studies on motherhood and depression from Goa, India. Social Science & Medicine, 57(10), 1797-1806.

9. Kaur, A., Kallakuri, S., Kohrt, B. A., Heim, E., Gronholm, P. C., Thornicroft, G., & Maulik, P. K. (2021). Systematic review of interventions to reduce mental health stigma in India. Asian journal of psychiatry, 55, 102466. https://doi.org/10.1016/j.ajp.2020.102466

10. Patel, V., Simon, G., Chowdhary, N., Kaaya, S., & Araya, R. (2009). Packages of care for depression in low-and middle-income countries. PLoS medicine, 6(10), e1000159.

11. Shidhaye R, Gangale S, Patel V. Prevalence and treatment coverage for depression: a population-based survey in Vidarbha, India. Soc Psychiatry Psychiatr Epidemiol. 2016;51(7):993-1003. doi:10.1007/s00127-016-1220-9

12. Coventry, P. A., Hays, R., Dickens, C., Bundy, C., Garrett, C., Cherrington, A., & Chew-Graham, C. (2011). Talking about depression: a qualitative study of barriers to managing depression in people with long term conditions in primary care. BMC family practice, 12(1), 10

13. Liu CH, Li H, Wu E, Tung ES, Hahm HC. Parent perceptions of mental illness in Chinese American youth. Asian J Psychiatr. 2020;47:101857. doi:10.1016/j.ajp.2019.101857

14. Kadam, U. T., Croft, P., McLeod, J., & Hutchinson, M. (2001). A qualitative study of patients' views on anxiety and depression. Br J Gen Pract, 51(466), 375-380.

15. Searle K, Blashki G, Kakuma R, Yang H, Zhao Y, Minas H. Current needs for the improved management of depressive disorder in community healthcare centres, Shenzhen, China: a view from primary care medical leaders. Int J Ment Health Syst. 2019;13:47. Published 2019 Jun 28. doi:10.1186/s13033-019-0300-0

16. Indu PS, Anilkumar TV, Vijayakumar K, Kumar KA, Sarma PS, Remadevi S, Andrade C. Reliability and validity of PHQ-9 when administered by health workers for depression screening among women in primary care. Asian J Psychiatr. 2018 Oct;37:10-14. doi: 10.1016/j.ajp.2018.07.021.

17. Indu PS, Anilkumar TV, Pisharody R, Russell PSS, Raju D, Sarma PS, Remadevi S, Amma KRLI, Sheelamoni A, Andrade C. Primary care Screening Questionnaire for Depression: reliability and validity of a new four-item tool. BJPsych Open. 2017 Apr 12;3(2):91-95. doi: 10.1192/bjpo.bp.116.003053.

18. Agapidaki, E., Souliotis, K., Jackson, S. F., Benetou, V., Christogiorgos, S., Dimitrakaki, C., & Tountas, Y. (2014). Pediatricians' and health visitors' views towards detection and management of maternal depression in the context of a weak primary health care system: a qualitative study. BMC psychiatry, 14, 108. https://doi.org/10.1186/1471-244X-14-108

19. Kravitz, R. L., Paterniti, D. A., Epstein, R. M., Rochlen, A. B., Bell, R. A., Cipri, C., ... & Duberstein, P. (2011). Relational barriers to depression help-seeking in primary care. Patient education and counseling, 82(2), 207-213

20. Lewis G, Duffy L, Ades A, Amos R, Araya R, Brabyn S, Button KS, Churchill R, Derrick C, Dowrick C, Gilbody S, Fawsitt C, Hollingworth W, Jones V, Kendrick T, Kessler D, Kounali D, Khan N, Lanham P, Pervin J, Peters TJ, Riozzie D, Salaminios G, Thomas L, Welton NJ, Wiles N, Woodhouse R, Lewis G. The clinical effectiveness of sertraline in primary care and the role of depression severity and duration (PANDA): a pragmatic, double-blind, placebo-controlled randomised trial. Lancet Psychiatry. 2019 Nov;6(11):903-914. doi: 10.1016/ S2215-0366(19)30366-9. Epub 2019 Sep 19. PMID: 31543474; PMCID: PMC7029306.

21. Hollingworth, W., Fawsitt, C.G., Dixon, P. et al. Cost-Effectiveness of Sertraline in Primary Care According to Initial Severity and Duration of Depressive Symptoms: Findings from the PANDA RCT. PharmacoEconomics Open4, 427–438 (2020). https://doi.org/10.1007/s41669-019-00188-5

22. Murray, J., Banerjee, S., Byng, R., Tylee, A., Bhugra, D., & Macdonald, A. (2006). Primary care professionals’ perceptions of depression in older people: a qualitative study. Social science & medicine, 63(5), 1363-1373.

23. Ekanayake, S., Ahmad, F., & McKenzie, K. (2012). Qualitative cross-sectional study of the perceived causes of depression in South Asian origin women in Toronto. BMJ open, 2(1), e000641.

24. Daivadanam M, Wahlström R, Ravindran TKS, Sarma PS, Sivasankaran S, Thankappan KR. Changing household dietary behaviours through community-based networks: A pragmatic cluster randomized controlled trial in rural Kerala, India. PLoS One. 2018 Aug 22;13(8):e0201877. doi: 10.1371/journal.pone.0201877.

25. Rahul A, Chintha S, Anish TS, Prajitha KC, Indu PS. Effectiveness of a non-pharmacological intervention to control diabetes mellitus in a primary care setting in Kerala: A cluster-randomized controlled trial. Frontiers in Public Health. 2021 Nov 16;9:747065.

26. Van Ginneken, N., Chin, W.Y., Lim, Y.C., Ussif, A., Singh, R., Shahmalak, U., Purgato, M., Rojas-García, A., Uphoff, E., McMullen, S. and Foss, H.S., 2021. Primary‐level worker interventions for the care of people living with mental disorders and distress in low‐and middle‐income countries. Cochrane database of systematic reviews, (8).

27. Ho KC, Russell V, Nyanti L, et al. Adherence to the Malaysian clinical practice guideline for depression by general practitioners in private practice in Penang. Asian J Psychiatr. 2020; 48:101899. doi:10.1016/j.ajp.2019.101899

28. Stein DJ, Benjet C, Gureje O, Lund C, Scott KM, Poznyak V, van Ommeren M. Integrating mental health with other non-communicable diseases. BMJ. 2019 Jan 28;364:l295. doi: 10.1136/bmj.l295

29. Clarke J, Proudfoot J, Vatiliotis V, Verge C, Holmes‐Walker DJ, Campbell L, Wilhelm K, Moravac C, Indu PS, Bridgett M. Attitudes towards mental health, mental health research and digital interventions by young adults with type 1 diabetes: A qualitative analysis. Health Expectations. 2018 Jun;21(3):668-77

30. Liu, Q., He, H., Yang, J., Feng, X., Zhao, F. and Lyu, J., 2020. Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. Journal of psychiatric research, 126, pp.134-140.

31. COVID-19 Mental Disorders Collaborators, Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic, Lancet 2021; 398: 1700–12, doi https://doi.org/10.1016/S0140-6736(21)02143-7

32. Ganjekar S, Thekkethayyil Viswananthan Anilkumar , Chandra PS. Perinatal mental health around the world: priorities for research and service development in India. BJPsych Int. 2020 Feb; 17(1):2-5. doi: 10.1192/bji.2019.26.

33. Shaili Population based screening dashboard, e health, Kerala https://shaili.ehealth.kerala.gov.in/dashboard/ReportsCatPublic/shaili_surveystatus