Accuracy of Community Informant Led Detection of Maternal Depression in Rural Pakistan

A qualitative study on the adaptation of community programmes for the promotion of early detection and health-seeking of perinatal depression in Nepal

BACKGROUND

Despite the high burden of perinatal depression in Nepal, the detection rate is low. Community-based strategies such as sensitization programmes and the Community Informant Detection Tool (CIDT) have been found to be effective in raising awareness and thus promoting the identification of mental health problems. This study aims to adapt these community strategies for perinatal depression in the Nepalese context.

METHODS

We followed a four-step process to adapt the existing community sensitization program manual and CIDT. Step 1 included in-depth interviews with women identified with perinatal depression (n=36), and focus group discussions were conducted with health workers trained in community mental health (n=13), female community health volunteers (FCHVs), cadre of Nepal government for the prevention and promotion of community maternal and child health (n=16), and psychosocial counsellors (n=5). We explored idioms and understanding of depression, perceived causes, and possible intervention. Step 2 included draft preparation based on the qualitative study. Step 3 included a one-day workshop with the psychosocial counsellors (n=2) and health workers (n=12) to assess the understandability and comprehensiveness of the draft and to refine the content. A review of the CIDT and community sensitization program manual by a psychiatrist was performed in Step 4.

RESULTS

The first step led to the content development for the CIDT and community sensitization manual. Multiple stakeholders and experts reviewed and refined the content from the second to fourth steps. Idioms of depression and commonly cited risk factors were incorporated in the CIDT. Additionally, myths of perinatal depression and the importance of the role of family were added to the community sensitization manual.

CONCLUSION

Both the CIDT and community sensitization manual are grounded in the local context and are simple, clear, and easy to understand.

Postpartum depression-an exploratory mixed method study for developing an indigenous tool

BACKGROUND AND OBJECTIVE

Motherhood is considered to be a joyous occasion cross-culturally but can bring forth an array of issues including depression. In Asia, Pakistan is dangerously high on the prevalence of postpartum depression (PPD) with sporadic results ranging from 28 to 63%, which could be due to the use of non-indigenous tools.

METHODS

An exploratory study-mixed method design was implied. During phase I mothers in the postpartum phase (up to 12 months) and experts were interviewed, items were generated, and pilot study was conducted. In second phase exploratory and confirmatory factor analysis was conducted to establish construct validity, convergent and divergent validity was also established.

RESULTS

A pool of 46 items was generated related to postpartum depression, which was reduced to 35 items as per the factor loading of 0.5 in exploratory factor analysis. Psychometric properties of the scale revealed good reliability (Cronbach α = 0.92) and factor structure of the scale. As per exploratory factor analysis five factors were revealed, explaining 58.07% variance, and the model was confirmed by confirmatory factor analysis. The scale showed significant positive correlation with Edinburgh' postpartum depression scale, depression anxiety and stress scale; establishing convergent validity and significant negative correlation with satisfaction with life scale; establishing divergent validity of the scale.

CONCLUSION AND IMPLICATIONS FOR TRANSLATION

Questionnaire of postpartum depression scale is a reliable and valid tool that can be used to measure postpartum depression in Asian mothers and provide targeted interventions.

Accuracy of a community mental health education and detection (CMED) tool for common mental disorders in KwaZulu-Natal, South Africa

BACKGROUND

Screening tools for mental health disorders improve detection at a primary health care (PHC) level. However, many people with mental health conditions do not seek care because of a lack of knowledge about mental health, stigma about mental illness and a lack of awareness of mental health services available at a PHC facility level. Interventions at a community level that raise awareness about mental health and improve detection of mental health conditions, are thus important in increasing demand and optimising the supply of available mental health services. This study sought to evaluate the accuracy of a Community Mental Health Education and Detection (CMED) Tool in identifying mental health conditions using pictorial vignettes.

METHODS

Community Health Workers (CHWs) administered the CMED tool to 198 participants on routine visits to households. Consenting family members provided basic biographical information prior to the administration of the tool. To determine the accuracy of the CMED in identifying individuals in households with possible mental health disorders, we compared the number of individuals identified using the CMED vignettes to the validated Brief Mental Health (BMH) screening tool.

RESULTS

The CMED performed at an acceptable level with an area under the curve (AUC) of 0.73 (95% CI 0.67-0.79), identifying 79% (sensitivity) of participants as having a possible mental health problem and 67% (specificity) of participants as not having a mental health problem. Overall, the CMED positively identified 55.2% of household members relative to 49.5% on the BMH.

CONCLUSION

The CMED is acceptable as a mental health screening tool for use by CHWs at a household level.

Technology-assisted peer therapy: a new way of delivering evidence-based psychological interventions

In low-income settings, ninety percent of individuals with clinical depression have no access to evidence-based psychological interventions. Reasons include lack of funds for specialist services, scarcity of trained mental health professionals, and the stigma attached to mental illness. In recent years there have been many studies demonstrating effective delivery of psychological interventions through a variety of non-specialists. While these interventions are cost-effective and less stigmatising, efforts to scale-up are hampered by issues of quality-control, and what has been described by implementation scientists as ‘voltage-drop’ and ‘programme-drift.’ Using principles of Human Centred Design in a rural setting in Pakistan, we worked with potential users to co-design a Tablet or Smartphone-based App that can assist a lay-person deliver the Thinking Healthy Programme, a World Health Organization-endorsed evidence-based intervention for perinatal depression. The active ingredients of this cognitive-therapy based intervention are delivered by a virtual ‘avatar’ therapist incorporated into the App which is operated by a ‘peer’ (a woman from the neighbourhood with no prior experience of healthcare delivery). Using automated cues from the App, the peer reinforces key therapeutic messages, helps with problem-solving and provides the non-specific but essential therapeutic elements of empathy and support. The peer and App therefore act as co-therapists in delivery of the intervention. The peer can deliver the intervention with good fidelity after brief automated in-built training. This approach has the potential to be applied to other areas of mental health and help bridge the treatment gap, especially in resource-poor settings. This paper describes the process of co-development with end-users and key features of the App.

Scalable Screening and Treatment Response Monitoring for Perinatal Depression in Low- and Middle-Income Countries

Common perinatal mental disorders such as anxiety and depression are a public health concern in low- and middle-income countries. Several tools exist for screening and monitoring treatment responses, which have frequently been tested globally in clinical and research settings. However, these tools are relatively long and not practical for integration into routine data systems in most settings. This study aims to address this gap by considering three short tools: The Community Informant Detection Tool (CIDT) for the identification of women at risk, the 4-item Patient Health Questionnaire (PHQ-4) for screening women at high-risk, and the 4-item Hamilton Depression Rating Scale (HAMD-4) for measuring treatment responses. Studies in rural Pakistan showed that the CIDT offered a valid and reliable key-informant approach for the detection of perinatal depression by utilizing a network of peers and local health workers, yielding a sensitivity of 97.5% and specificity of 82.4%. The PHQ-4 had excellent psychometric properties to screen women with perinatal depression through trained community health workers, with a sensitivity of 93.4% and specificity of 91.70%. The HAMD-4 provided a good model fit and unidimensional construct for assessing intervention responses. These short, reliable, and valid tools are scalable and expected to reduce training, administrative and human resource costs to health systems.

Cultural Adaptation of Community Informant Tool for Detection of Maternal Depression in Rural Pakistan

Background: Evidence indicates that mental health issues like depression, epilepsy, and substance misuse can be detected with reasonable accuracy in resource-poor settings. The Community Informant Detection Tool (CIDT) is one such approach used for detecting mental health problems, including depression. We adapted this community informant approach for detecting maternal depression in Pakistan. Methods: Adaptation of Community Informant Detection Tool for Maternal Depression (CIDT-MD) involved five steps. First, a scoping review of the literature was conducted to select an appropriate tool for adaptation. Second, in-depth interviews were conducted to explore the idioms of depression and distress, perceived causes, and the effects of maternal depression among currently depressed and recovered mothers (n = 11), mothers in law (n = 6), and Primary Care Providers (Primary Care Physicians and Lady Health Supervisors) (n = 6). Third, case vignettes and illustrations were created with input from a panel of mental health experts, incorporating the idioms of depression and distress used, causes, and effects for each symptom described. Fourth, to assess the comprehensibility of the illustrations and level of understanding, Focus Group Discussions (n = 4) were done with purposely selected community health workers (Lady Health Workers and Lay Peers, n = 28) trained in delivering maternal depression intervention. The final step was reflection and inputs by a panel of mental health experts on all steps to finalize the content of the tool. Results: Context-specific cultural adaptation in the presentation and format of CIDT-MD was conducted successfully. Lady Health Workers (LHW) and Lay Peers (LP) were found to be the most appropriate persons to use the tool and function as the informants. The adapted tool with all its vignettes and illustrations was found to be easily understandable, comprehensible, and culturally appropriate, meaningful, and contextually relevant by the community health workers and peers working in the relevant settings. They easily relate to and identify potentially depressed such women lining up with the tool. Lastly, the coding of the tool was found easy to follow as well. Conclusion: The Community Informant Detection Tool for Maternal Depression (CIDT-MD) is a culturally acceptable, easy to use, and comprehensible tool for detecting maternal depression in community settings of Pakistan. The community informants found the content and approach highly relevant to the local needs.