Women’s Depression: Community-Based Intervention Insights

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

Pillaveetil Sathyadas Indu¹, Thekkethayyil Viswanathan Anilkumar², Krishnapillai Vijayakumar³, K. A. Kumar⁴, P. Sankara Sarma⁴, Saradamma Remadevi⁵, Chittaranjan Andrade⁶

  1.  Community Medicine, Government Medical College, Trivandrum, Kerala, India.
  2.  Psychiatry, Government Medical College, Trivandrum, Kerala, India.
  3. Psychiatry, Kerala Institute of Medical Sciences, Trivandrum, Kerala, India.
  4. Biostatistics, Achutha Menon Centre for Health Science Studies, Sree Chithira Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
  5. Medical Sociology, Clinical Epidemiology Resource & Training Centre, Government Medical College, Trivandrum, Kerala, India.
  6. Psychopharmacology, National Institute of Mental Health and Neurosciences, Bangalore, India.

Corresponding Author:
Prof. P S Indu, MBBS, MD, DPM, PhD, FRCP, Professor and HOD, Department of Community Medicine, Government Medical College, Kollam, Kerala, India.
📧 [email protected], [email protected]

OPEN ACCESS

PUBLISHED: 30 November 2024

CITATION: Indu, P.S., Anilkumar, T.V., et al., 2024. Depression in women; perceptions do matter in the development of a community-based intervention.
Medical Research Archives, [online] 12(11).
https://doi.org/10.18103/mra.v12i11.6047

COPYRIGHT: © 2024 European Society of Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI https://doi.org/10.18103/mra.v12i11.6047

ISSN 2375-1924


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 psychosocial 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

Introduction

The prevalence of depression is high in primary care and is associated with low quality of life, impaired work performance, high suicide risk, and medical and psychiatric comorbidities. Outpatient data in primary health care setting indicates that depression is an important determinant of attempted suicide and is twice as common in women as in men¹. However, availability of minimally adequate treatment for depression is just 23% in high-income countries and is as low as 3% in lower middle income countries². The treatment gap for depressive disorders in India is very large at 82–83%. This treatment gap is best bridged in primary care.

Most women did not consider biomedical concepts in the aetiology of depression, however, they sought medical help for depression by reporting somatic symptoms and this provided an opportunity for the health system to plan and implement a public health intervention to manage depression⁴. Patient-centred mental health care requires conceptualisation of disorders within specific contexts⁵.

In this background, we developed an ambitious plan to develop and validate a comprehensive working model to understand the burden and the correlates of depression in primary care, and to detect and treat depression in a way that would be acceptable for patients and their families as well as feasible for the healthcare system. Specifically, we sought to understand the perception of key stakeholders about the burden of depression, risk factors for depression, reasons why depression remained unidentified in primary care, and barriers to seeking care.

We also aimed to identify the resources available in the community to provide psychosocial intervention to women with depression and, importantly, to generate suggestions to develop a community-based intervention programme, which can be recommended to healthcare policymakers, for implementation. The development of the programme through qualitative methods and validation of the effectiveness of the programme through randomized controlled trial⁶ were both part of the same research project.

In this paper we present the observations of the qualitative study which aimed to understand the perception of key stakeholders about the burden of depression, its risk factors and barriers to seek care, with a view to develop a community-based intervention to manage depression among women.


Methodology

The methodology, analysis and reporting were planned and implemented in accordance with the Consolidated Criteria for Reporting Qualitative research (COREQ) guidelines⁷. The design of the study was cross sectional, using qualitative techniques for data collection. The methodological orientation underpinning was that of content analysis.

Research team and reflexivity

All the in-depth interviews, focus group discussion (FGD) and key informant interviews were conducted, face to face, by the first author, who is a female psychiatrist, trained in qualitative research techniques as part of MPhil (Clinical Epidemiology) programme and attended course in ‘Analysis in Qualitative Research’ conducted by Indian Clinical Epidemiology Network.

She is trained in public health and epidemiology and has prior experience as investigator in the evaluation of national health programmes using qualitative techniques. The second author, who is a psychiatrist and epidemiologist, trained in qualitative techniques, was also part of most of the interviews and the FGD.

During the study period, both of the researchers got re-trained in qualitative methods by participating in the workshop on ‘Qualitative Research’ conducted by the Indian Council of Medical Research. In most of the interviews researchers had previous interactions with the stakeholders and hence process of interviewing was smooth and natural.


Setting, participant selection, data collection and sample size

The setting of the interviews varied, depending on the category of the informant. Community level interviews were conducted mostly in the Medical College Health Unit, Pangappara which is the Primary Health Centre attached to the Department of Community Medicine, Govt Medical College, Trivandrum, Kerala located in the southern part of India.

At the community level, women with depression, their family members, self-help group members of Kudumbasree, Anganwadi teachers and Accredited Social Health Activists (ASHA) were interviewed.

At the Primary Health Centre (PHC) level, multipurpose health workers (Junior Public Health Nurses (JPHN) and Junior Health Inspectors (JHI)), supervisors, medical officers and stakeholders of Local Self Government were interviewed.

Participants of the focus group discussion were members of the public health wing of the primary health centre, which included multipurpose workers and their supervisors.

Key informant interviews were conducted with major stakeholders at the district, state level and national level (Table 1). We included experts with an international experience to capture the global perspectives.

All the stakeholders approached by the researcher agreed to participate in the study. All the interviews were conducted face to face. In-depth interviews and key informant interviews were continued till there was data saturation. There were 49 interviews and one focus group discussion.


Study instruments / Interview guides

Schedules or interview guides for key informant and in-depth interview for each category of stakeholder were prepared by the team of researchers which included psychiatrists and experts in public health, research methodology and social science research including qualitative research.

We piloted these before the actual study. The interview schedules contained open ended questions which tried to capture their perceptions regarding burden of depression among women in the community, the psychosocial stressors or factors underlying/predisposing/contributing to depression, their current role and potential future role in management, resources available in the community and the ideal components of a community-based depression intervention programme.

Each face-to-face interview lasted 45 minutes on average. Some interviews were lengthy and lasted for 90 minutes.


Table 1: Stakeholders selected for in-depth interviews and key informant interviews

1. Community

  1. Women with depression
  2. Family members of women with depression
  3. Kudumbasree volunteer
  4. Accredited Social Health Activist (ASHA)
  5. Anganwadi worker

2. Primary Health Centre (PHC)

  1. Medical Officers
  2. Public Health Nurses
  3. Junior Public Health Nurses
  4. Junior Health Inspectors

3. District

  1. District Medical Officer
  2. District Program Manager
  3. Nodal Officers / Psychiatrists of District Mental Health Programme

4. State

  1. Principal Secretary, Health & Family Welfare Dept, Govt of Kerala
  2. Director of Health Service
  3. Director of Medical Education
  4. Secretary, Kerala State Mental Health Authority
  5. State Nodal Officer, Kudumbasree

5. National

  1. Nodal Officer, National Mental Health Programme, Government of India
  2. Professors of Psychiatry and Psychology from national institutes
  3. Mental health experts
  4. Public health experts
  5. Social scientists

6. International

  1. Mental health experts
  2. Gender consultant of WHO
  3. Mental health consultant of WHO

Analysis

Most of the interviews were audio recorded with prior permission. Field notes were also taken down during the interviews. Community level interviews were in Malayalam, the regional language. Majority of the state, national and international level interviews were in English.

Audio-recorded interviews were transcribed and those interviews in Malayalam were translated to English. They were then checked for grammar correction and then coded by the researcher. Content analysis was done manually. Relevant quotations are also provided along with the corresponding themes. Data from multiple sources have been triangulated.


Results

Important observations from the interviews and focus group discussion are presented as themes and subthemes (Table 2). Relevant quotations, edited for grammatical accuracy, are provided, along with the themes.


BURDEN OF DEPRESSION

The burden of depression among women was perceived to be high, but frequently unidentified and under-reported. Women did not express emotional problems; they presented with somatic symptoms and descriptions of panic attacks.

“Depression is very common. It is seen in association with diabetes and hypertension. Women with depression frequently come to the outpatient department (OPD) to see the same physician, even if the physical illness is under control. We [doctors] unnecessarily increase the dose of drugs for physical illness because of their frequent OPD visits but, unfortunately, fail to identify and treat depression.”
— Primary Care Physician

“I am convinced about the gravity of the problem. I speak from my experience of directly dealing with women patients, women caregivers and wives of patients on de-addiction treatment. I feel that depression is much more than it has been diagnosed or recorded or reported. Many a time it goes unnoticed and the total number of depressed women hugely exceeds what is reported in statistics.”
— Faculty, Psychiatric Social Work


RISK FACTORS FOR DEPRESSION

Gender-related issues, lack of financial independence, intimate partner violence and domestic discord:

After marriage, women commonly lived with the husband’s family of origin. Mental health experts felt that strained relationships with the mother-in-law was a stressor for many such women. These strained in-law relationships were associated with a lack of freedom in decision-making, marital conflict, and even domestic violence.

Many women did not have the financial independence, since they did not have a job. Women as home makers did a lot of work within their household, for which they were not paid. Even women who had good education did not pursue for a job since many got married before they could find a job. Afterwards, because of pregnancies, and the need to spend time in child care, many women did not get the opportunity to find a suitable job.

Culturally also, many families did not encourage women to seek an employment; instead partners and family members preferred the newly married woman to be a home maker and look after the children and household responsibilities. Some women in their middle ages were worried about the resources needed for the marriage of their daughters, since they believed that they would need money to be given as dowry.

“Failure to conceive, failure to have a male child, the pressure to live like people in the neighbourhood, worries on appearances, expectations about children’s education, economical problems are all stressors for women. Women are more concerned about financial problems and thus they have the tension and pressure to live up to the expectations of others.”
— Gender Expert


Handling domestic chores all alone

This was an important stressor in this setting. Women, by tradition, were expected to be solely responsible to do the household chores such as cooking, cleaning, and washing, as well as for all activities related to child-rearing, caring for the sick and the elderly. Many partners did not share these responsibilities and subsequently handling the domestic responsibilities single-handed turned out to be a burden for many women.

For women who had a job, the pressure to take care of the household responsibilities without support from the partner increased their stress even when they had financial independence.


“Women have 3 categories of stress; looking after the domestic chores, caring for children, and taking care of [their own] job responsibilities.”
— State-level administrator


Alcohol use by the partner

Administrators, policy makers, mental health experts and community leaders reported that alcohol use by the partner is indirectly responsible for depression through worsening the marital discord, intimate partner violence, financial difficulties, physical and psychological violence against family members, and behavioural problems in children.

“I am sad because my husband drinks. There are financial problems, but all financial problems can be solved if he stops drinking and starts driving and earns.”
— Woman with depression

“My daughter is unwell because of her husband’s alcoholism, financial problems, and stress related to taking care of the children.”
— Mother of woman with depression

“The most important factor leading to disharmony in the family is the [husband’s] excessive alcohol use. This is related to family violence.”
— State-level administrator


BARRIERS TO TREATMENT

Time constraints and competencies

The healthcare system in India is under pressure because of large patient volumes and inadequate human resource. There are long queues for consultation in the OPDs and the time available for each patient is usually insufficient for detailed evaluation.

Most doctors primarily address the physical symptoms in the busy OPDs and may not have adequate time to elicit psychological symptoms and address stressors such as ongoing gender-based violence.


“It is doubtful whether depression is [adequately] identified in primary care. Many women who describe symptoms of panic attacks may actually have underlying depression.”
— Psychiatrist and Nodal Officer, District Mental Health Program


Complaints are somatic symptoms

Patients complain of aches and pains, weakness, fatigue, and lethargy, or somatic symptoms of anxiety; disclosing depressed mood and other emotional symptoms are considered inappropriate in a crowded OPD.

Many women may also be unaware that depressed mood can be a medical symptom that the primary care physician needs to be aware of.

“Women do not tell anybody about their problems. The general view in society is that women [in such stressful circumstances] inevitably suffer; if symptoms of depression are obvious people around the depressed women think that her behavior is ‘bad’ [and not that she is ill].”
— Junior Public Health Nurse


Lack of awareness that depression is a treatable disorder

Women do not recognize that what they experience is a mood disorder that can be medically evaluated and treated by medical and mental health professionals.

“She thinks that she should conquer her problems herself. She does not recognize that she has depression that could be treated. On average, it takes 6–9 months before a woman with depression is finally taken to a psychiatrist.”
— Academic psychiatrist, national institute


Stigma

Depression and psychological symptoms are considered as weakness of the mind and are stigmatized with the label of mental illness. There are strong personal and social barriers to seeking and receiving psychiatric care. This is an important reason why depression remains untreated.

“If we go to hospital once for a mental health problem, people will label us as mad. Even after cure, they will say she was mad long ago.”
— Woman with depression

“The word depression itself is associated with stigma. People conceal depression and, instead, report somatic symptoms.”
— State-level administrator

“Depression remains untreated because of stigma. It is also difficult [in terms of availability, accessibility, affordability, and acceptability] to see a psychiatrist. Instead, women with depression seek treatment through religious avenues.”
— State-level administrator


REASONS FOR NON-ADHERENCE TO TREATMENT AND CONSEQUENT RELAPSE

Poor understanding about the nature of depression and its treatment

Patients and their family members are often inadequately informed about the nature of the illness and the need for treatment, and especially about the role of drugs and duration of treatment in the management of depression.


Treatment-related costs

The treatment of depression involves direct and indirect costs that can be hard to meet. Direct costs include the cost of the prescribed medicines. Indirect costs include the cost of travel for the patient and accompanying person(s) and lost wages for the day of medical consultation.


Stigma (continued impact)

Even after diagnosis and initiation of treatment, stigma can be responsible for non-adherence to treatment, treatment drop out, and relapse. There are strong personal and social barriers to continuing in psychiatric care.

Stigma works in different dimensions in depression. It is also the main reason behind depression remaining undiagnosed and untreated. “Many women are reluctant to complete treatment, because they fear that others will look upon them as ‘mental patients’.”
— Faculty, Psychiatric Social Work


SUGGESTIONS FOR DEVELOPMENT OF THE COMMUNITY-BASED DEPRESSION INTERVENTION PROGRAMME

Multipurpose health workers can identify depression by active surveillance

In India, there is a cadre of public health staff called multipurpose workers who are involved in the field-level implementation of national health programmes such as control of communicable diseases and non-communicable diseases, as well as services for reproductive and child health care.

In Kerala, they are designated as Junior Public Health Nurses (JPHNs) and Junior Health Inspectors (JHIs). They conduct home visits, do active surveillance to identify communicable diseases and other health-related problems, provide field-level services, and refer identified cases to primary health centres (PHCs) for further management.

They also make antenatal and postnatal visits, conduct outreach immunization for children, weekly clinics in the subcentres for non-communicable diseases, and health education sessions in the field level.

JPHNs and JHIs identify physical illness during their routine home visits. With appropriate training, they can screen for depression and refer to the primary health centre.


Active surveillance using simple validated tools

JPHNs and JHIs who perform home visits can be trained to screen for depression and, when identified, to counsel and/or refer women to primary health centre for diagnosis and treatment.

“Actual depression cases should be identified by an active surveillance mechanism because it seems to be the cause of attempted suicide.”
— State level administrator


“JPHNs can identify depression during field visits. They can also do the follow up. They can even monitor for improvement of symptoms.”
— Psychiatrist, District Mental Health Programme


Strengthening competencies of primary care physicians

Primary care physicians can be the nodal persons to diagnose and manage depression in the primary care setting. This would reduce stigma and make services more available, accessible, and acceptable. Antidepressant drugs should be made available in the primary health centre.

“More patients will come to us. They will come here and consult us, just as they come for fever, cough, and other complaints. If we refer them to the psychiatrist, they may not go.”
— Primary Care Physician

“Primary care physicians should be able to identify depression, initiate treatment, and sustain follow up. They should also empower the paramedical workers to identify depression, refer to the primary health centre, and ensure follow up. PCPs can also help to build social structures such as self-help groups.”
— Public health expert


Simple protocol for drug treatment

Primary care physicians need a simple treatment protocol using antidepressant drugs that require minimum dose adjustments.

“We need a simple protocol to treat depression, similar to the Tuberculosis Control Programme where everything is clear about the drug regimen. For example, if the patient is sputum-positive, we can straightaway start a specific drug combination; there is no confusion. We need a similar, simple, uncomplicated regimen to treat depression.”
— Primary care physician


ANTIDEPRESSANT OF CHOICE IN PRIMARY CARE

Most experts recommended selective serotonin reuptake inhibitors (SSRIs) such as sertraline or escitalopram, as the safest and easiest drugs for primary care. The cost of the drugs was also an important consideration.

“I think that most of the antidepressants have the same profile in terms of effectiveness. I suggest the cheapest SSRI, sertraline. SSRIs carry a low risk of side effects. There is no need to add a sedative. If we train the primary care physicians, they can prescribe antidepressants.”
— Academic psychiatrist from a national institute


COMMUNITY LEVEL RESOURCES FOR PSYCHOSOCIAL INTERVENTION

Most stakeholders suggested involving community-level volunteers such as:

  • Kudumbasree members
  • Anganwadi workers
  • ASHA (Accredited Social Health Activists)

However, there was no consensus about their specific roles.

Kudumbasree is a poverty eradication and women empowerment programme implemented by the Government of Kerala and is the largest network of women self-help groups with a membership of nearly four million families. In addition to microfinancing and self-employment, Kudumbasree addresses social causes, especially related to women and gender.

“Although there are many psychosocial issues related to depression, there is no social support incorporated into the existing depression management plans. We haven’t developed a group in the community to support them. They also need an alternative source of income. So, Kudumbasree may be an option to develop a support system in the community.”
— Primary Care Physician


“Kudumbasree can intervene in alcohol-related problems. Women have a space to come, when they feel stressed. There would be 8–10 neighborhood groups in a ward. Identify 2 women from each neighborhood group. They would share experiences, avail services from PHC, learn to recognize depression symptoms and when to refer, and enhance skills for counseling.”
— State level official, Kudumbasree Mission


Role of Anganwadi workers and ASHA

Anganwadi workers are part of the Integrated Child Development Services Scheme and interact with women and children regularly. They can support women with depression.

ASHA workers are local health volunteers under the National Health Mission who support maternal and child health programmes and work closely with families.

Hence, involving ASHA to provide local support was suggested.


PERCEPTIONS DO DIFFER

Many stakeholders supported involving community volunteers (Kudumbasree, Anganwadi, ASHA). However:

  • Women with depression
  • Their families
  • Some public health nurses

expressed concerns about confidentiality and competence of local volunteers.

They preferred Junior Public Health Nurses (JPHNs) instead.

“We don’t want people whom we know (volunteers from neighbourhood) to counsel us. We prefer to tell our problems to people from outside. JPHNs are safer.”
— Woman with depression

“Kudumbasree is not ideal… they may reveal the woman’s problems to others.”
— Public Health Nurse


“A link between the patient, the family, and the doctor is important. JPHNs have a link with the patient and the family. They can educate the patient and, if symptoms worsen, report to the doctor in a timely manner.”
— State level administrator


“We can train health workers to identify depression during field visits, counsel women, and refer women to the primary care physicians. JPHNs can check whether women take antidepressant drugs regularly. Women can telephone the JPHN if they have problems or suicidal thoughts.”
— Public Health Nurse


SYSTEM-LEVEL SUGGESTIONS

Creating systems to address psychosocial stressors

Psychiatrists, public health experts, and health workers suggested:

  • Making deaddiction services available at primary health care level
  • Creating one-stop centres for women facing domestic violence or intimate partner violence

TABLE 2: Overview of themes and subthemes

Major Theme: Perceived Risk Factors for Depression

Common subthemes:

Somatic symptoms

Gender-related issues

Lack of financial independence

Unemployment

Alcohol use by partner

Financial difficulties

Worries related to daughters’ marriage

Marital discord

Intimate partner violence / domestic violence

Problems with in-laws

Non-supportive partner (not sharing responsibilities)

Co-existing illnesses (e.g., hypertension, diabetes)

TABLE 2 (continued): Overview of themes and subthemes

Major Theme: Reasons for depression remaining undiagnosed and untreated in primary care

Common subthemes:

  • Lack of awareness that depression is a treatable disorder
  • Multipurpose health workers need training to identify depression in the field by active surveillance
  • Time constraints and competencies
  • Stigma

Major Theme: Reasons for non-adherence to treatment and subsequent relapse

Common subthemes:

  • Poor understanding about the nature of depression and its treatment
  • Treatment-related costs
  • Stigma

Major Theme: Suggestions for development of a community-based intervention

Common subthemes:

  • Active surveillance in the field using simple validated screening tools
  • Strengthening competencies of primary care physicians to diagnose and manage depression
  • Simple protocol for drug treatment
  • Antidepressants of choice in primary care
  • Psychosocial interventions in the community
  • Addressing common stressors such as gender-related issues and partner’s alcoholism

Discussion

We report the results of a qualitative study that aimed to develop an acceptable and feasible community-based depression intervention program for the identification and management of depression in primary care. We focused on women because they are more vulnerable biologically, society is predominantly patriarchal and the mental and social health of women tends to be neglected⁸.

We examined the perceived burden of depression in women, its risk factors, and barriers to treatment, and sought to develop community-based depression intervention programme through a consultative process.

Although the perceived burden was high, key stakeholders recognized that depression was under-reported. Gender-related issues, lack of financial independence, partner’s alcohol use, marital conflicts, intimate partner violence/domestic violence, and conflicts with in-laws were repeatedly emphasized as stressors or risk factors for depression.

Inadequate involvement of partner in household responsibilities, financial problems, unemployment, and lack of decision-making freedom added to the stress.

Our results were supported by empirical data from India; studies have reported high prevalence rates for depression as well as similar social determinants¹³. The prevalence of depression is higher among those with long-term medical conditions, and depression is often normalized in those who are so affected, emphasizing the need for primary care physicians (PCPs) to receive support and training to better recognize and manage depression in such patients¹⁴,¹⁵.

This is especially important in settings where depression is a major determinant of attempted suicide, but the health system needs strengthening to identify depression and the associated risk of suicide¹⁶.

Primary care and general practice are the focal points from where patients with depression commonly seek help; even when they do not report symptoms explicitly¹. Culturally acceptable and comprehensive interventions are therefore necessary in primary care¹¹.

Additionally, such interventions need to be integrated into existing health services especially in community settings, with task-shifting to non-specialist health workers¹²,¹⁶.


We observed that depression remained unidentified because complaints were somatic and women did not express emotional symptoms. Evidence supports the usefulness of locally validated questionnaires.

Utilizing simple verbally administered screening tools such as the Primary Care Screening Questionnaire for Depression (PSQ4D), which have good reliability and validity, primary care physicians can screen for depression even when patients seek help for physical symptoms¹⁷.

Multipurpose workers can be trained to administer larger screening tools such as the Patient Health Questionnaire (PHQ-9), which has excellent reliability and validity, at the field level¹⁸.

Literature notes that primary care providers and health visitors are aware of depression but are not in a position to offer help¹⁸, and that some patients doubt the competence of primary care physicians¹⁹.

Our findings, in contrast, supported the acceptability of existing cadres of healthcare providers, especially primary care physicians and junior public health nurses, in identifying and managing depression in women in primary care.

However, we also found that primary care physicians needed a simple protocol and practical hands-on training to improve competencies in management.


Our consultative process strongly favoured the involvement of primary care physicians to manage depression, with regard to both providing drug treatment and supervising psychosocial intervention.

The antidepressant of choice for primary care was an SSRI such as sertraline because of availability, cost-effectiveness, safety, and ease of dose titration. Its efficacy, cost-effectiveness, and tolerability have been well established²⁰,²¹.

Family support has an important role in the management of depression²².

We observed that intimate partner violence, marital conflicts, partner’s alcoholism, and lack of a sharing attitude of the partner in carrying out household responsibilities are important stressors.

The link between social and health services is important to reduce the burden of depression.


Kudumbasree, which is formed around the central theme of poverty eradication and women empowerment, is an important community-level resource in Kerala. It is one of the largest organized networks of women with four million members.

Neighbourhood Groups (NHG), called “ayalkoottam” in the local language, are the lowest tier formed by 10–20 women living nearby. The middle level is the Area Development Society (ADS) and the third level is the Community Development Society (CDS) at the local self-government level.

Attempts have been made to involve Kudumbasree in community-level dietary interventions²⁴.

An important recommendation was to involve Kudumbasree to identify depression at community level and provide psychosocial support.

However, most stakeholders—including women with depression and their families—preferred Junior Public Health Nurses (JPHNs) because they are part of the health system and perceived as more confidential.

Women feared stigma and loss of confidentiality if local volunteers (Kudumbasree, Anganwadi, ASHA) were involved.


There is evidence supporting JPHNs implementing non-pharmacological interventions at subcentre level for other non-communicable diseases such as diabetes²⁵.

The advantage of involving JPHNs is that they already engage with families through immunization and communicable disease control programs.

Primary care worker-led interventions show promising benefits in improving outcomes for common mental disorders²⁶.

Primary care physicians in the private sector may also be engaged to improve management skills²⁷.


It is a welcome step to integrate mental health services into the general framework of interventions for non-communicable diseases²⁸.

Despite advances in technology and digitalization, human contact is still essential for psychosocial support²⁹.

Global Burden of Disease data shows a 49.2% increase in depression incidence between 1990 and 2017³⁰, and prevalence increased by 25–27% during the first year of the COVID-19 pandemic³¹.

It is important to incorporate stakeholder perceptions in designing community-level mental health interventions.


Post Script

Major suggestions of this study have been incorporated into a package of services called the Community Depression Intervention Programme (ComDIP) and its effectiveness has been evaluated in a randomized controlled trial⁶.

Policy makers and administrators collaborated with the researchers. Following this, the first three authors worked with the Kerala state health department to develop a state-wide depression intervention programme.

This programme, called ‘Aswasam’ (meaning relief in Malayalam), was designed as a primary care-based depression intervention and implemented through Family Health Centres as part of the Aardram Mission, a flagship programme of the Government.

It aligns with WHO’s theme “Depression: Let’s talk” (World Health Day, April 7, 2017). Kerala also launched ‘Amma Manas’ (meaning mother’s mind)—a perinatal mental health programme.

Additionally, depression screening has been included in the State Health App Initiative for Lifestyle Intervention (SHAILI App) for population-level screening.


Conclusions and Policy Implications

This study identified psychosocial risk factors and mapped available community resources to develop a robust, community-based intervention.

Primary care is the first contact point and is accessible to most women. Integration requires task-shifting, but community perceptions must also be considered.

Women preferred services from:

  • Junior Public Health Nurses
  • Primary care physicians

Both are part of the formal healthcare system and perceived as more confidential and acceptable.

This approach can lead to an:

  • Available
  • Accessible
  • Affordable
  • Acceptable
  • Low-stigma

public health programme for identifying and managing depression in women in primary care.

Local adaptations can allow similar models to be applied in other regions globally.


Conflict of Interest

No author has any conflict of interest in relation to the subject matter discussed in this study.


Funding Statement

No external funding was received for this study.


Acknowledgements

We acknowledge the late Dr. Ramdas Pisharody, former Principal, Govt Medical College, Thiruvananthapuram. and Director, Clinical Epidemiology Resource and Training Centre, who guided the PhD research work of Dr. Indu P.S.

This paper presents the observations of the formative research part of the PhD research. We thank all the stakeholders who spared a lot of time for the in-depth interviews, which subsequently resulted in the development of Community based Depression Intervention programme (ComDIP).

The effectiveness of ComDIP to manage women with depression in primary care was evaluated in a randomized controlled trial as part of the same PhD work.

We acknowledge Mr. Rajeev Sadanandan IAS, formerly the Additional Chief Secretary, Health and Family Welfare, Govt of Kerala and Dr. Kiran P.S, formerly the Nodal Officer, District Mental Health Programme, Trivandrum and currently the State Nodal Officer, Mental health, Directorate of Health Service, Kerala for their support to this research study and subsequently, on completion of study, inviting the first three authors to work with the team of the directorate of health services to develop ‘Aswasam’, now implemented through the family health centres of Kerala.

We also acknowledge Dr. Biju Gopal, Deputy Director of Health Services and State Nodal Officer for Non-Communicable Diseases, Kerala for the recent initiative to improve identification of depression at the community level, by incorporating depression screening as part of NCD screening.

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

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