Leveraging Stakeholder Engagement and Virtual Environments to Develop a Strategy for Implementation of Adolescent Depression Services Integrated Within Primary Care Clinics of Mozambique

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Study Justification:
– Psychiatric disorders are the leading cause of disability in adolescents globally.
– Limited access to mental health services in low- and middle-income countries (LMICs), where the majority of adolescents reside.
– Integration of mental health services within primary care clinics of LMICs proposed as an efficient and sustainable solution.
– Limited research on effective implementation of integrated mental health care in LMICs.
– This study aims to develop a strategy for integrating adolescent depression services within primary care clinics of Mozambique.
Study Highlights:
– Used Implementation Mapping to develop a multilevel strategy for integrating adolescent depression services in Maputo, Mozambique.
– Employed both in-person and virtual approaches for stakeholder engagement and implementation planning.
– Identified determinants to implementation of mental health services for adolescents in LMICs.
– Developed an implementation plan comprising 33 unique strategies targeting determinants at various levels.
– Evaluation of the implementation plan will be conducted to assess the delivery of adolescent depression services in Mozambican primary care.
Study Recommendations:
– Implement the developed strategy for integrating adolescent depression services within primary care clinics in Mozambique.
– Evaluate the implementation plan to assess its effectiveness in delivering mental health services to adolescents.
– Consider using the implementation plan as a model for other low-resource settings facing similar challenges.
Key Role Players:
– Ministry of Health (national level)
– Department of Mental Health (national level)
– Maputo City Municipal Administration Offices of Mental Health
– School and Youth Health Departments (national and local levels)
– Primary Health Care Departments (national and local levels)
– Mental health specialists (psychiatrists, psychologists, occupational therapists, psychiatric technicians)
– Primary care providers (general medicine technicians, nurses, physicians)
– Local non-governmental organizations (NGOs) with experience in implementing adolescent health services
Cost Items for Planning Recommendations:
– Training and capacity building for mental health specialists and primary care providers
– Development and dissemination of educational materials and resources
– Infrastructure and equipment for screening and treatment services
– Monitoring and evaluation activities
– Stakeholder engagement and coordination efforts
– Research and data collection expenses
– Communication and dissemination of findings
Please note that the above cost items are examples and not actual cost estimates. The actual budget items would need to be determined based on the specific context and requirements of the implementation plan.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study employed Implementation Mapping to develop a multilevel strategy for integrating adolescent depression services within primary care clinics of Mozambique. The abstract provides details on the study activities, participants, and methods used. However, it would be helpful to include information on the sample size and demographics of the participants, as well as the specific outcomes and results of the study. Additionally, providing information on the limitations of the study and potential future directions would further strengthen the evidence.

Psychiatric disorders are the number one cause of disability in adolescents worldwide. Yet, in low- and middle-income countries (LMIC), where 90% of adolescents reside, mental health services are extremely limited, and the majority do not have access to treatment. Integration of mental health services within primary care of LMICs has been proposed as an efficient and sustainable way to close the adolescent mental health treatment gap. However, there is limited research on how to effectively implement integrated mental health care in LMIC. In the present study, we employed Implementation Mapping to develop a multilevel strategy for integrating adolescent depression services within primary care clinics of Maputo, Mozambique. Both in-person and virtual approaches for Implementation Mapping activities were used to support an international implementation planning partnership and promote the engagement of multilevel stakeholders. We identified determinants to implementation of mental health services for adolescents in LMIC across all levels of the Consolidated Framework for Implementation Research, of which of 25% were unique to adolescent-specific services. Through a series of stakeholder workshops focused on implementation strategy selection, prioritization, and specification, we then developed an implementation plan comprising 33 unique strategies that target determinants at the intervention, patient, provider, policy, and community levels. The implementation plan developed in this study will be evaluated for delivering adolescent depression services in Mozambican primary care and may serve as a model for other low-resource settings.

All study activities (Supplementary Figure 1) were conducted in Maputo, the capital city of Mozambique. The Mozambican National Health System is led by the Ministry of Health and is where the vast majority of Mozambicans receive health care. The system is organized into community-level PCC, district-level hospitals, and province-level tertiary care hospitals as well as two specialized (quaternary care) psychiatric hospitals in the Maputo and Nampula provinces. The Department of Mental Health at the Mozambican Ministry of Health is the responsible for coordinating mental health services at all levels across the country through the National Mental Health Program. Current mental health specialists include 24 psychiatrists located in tertiary and quaternary care of four provinces and around 500 psychologists (e.g., clinical, educational, organizational), 30 occupational therapists, and 550 Psychiatric Technicians spread across primary through quaternary services throughout the country (20). All study materials and procedures were approved by the New York State Psychiatric Institute Institutional Review Board and the Eduardo Mondlane University Institutional Health Bioethics Council. The implementation planners comprised the authors of this article, who are implementation science and mental researchers from Columbia University as well as policymakers and mental health specialists at the Department of Mental Health of the Mozambican Ministry of Health. We represent junior, mid-level, and senior professionals in our fields, all with previous experience in mixed-methods implementation science and mental health research. We are approximately half Mozambican (n = 6) and half non-Mozambican (n = 5); all but one implementation planner is fluent in Portuguese. Our educational backgrounds range from licensed mental health professionals to doctoral level researchers and practitioners. All but two implementation planners are also mental health practitioners. Through a series of four virtual meetings among implementation planners, we identified adopters responsible for adolescent and mental health programming at both the national level (Ministry of Health Departments of Mental Health, School and Youth Health, and Primary Health Care) and local level (Maputo City Municipal Administration Offices of Mental Health and School and Youth Health). To identify implementers, we held two in-person workshops with 14 Mozambican stakeholders to map adolescent care pathways within PCC. Selected stakeholders included mental health specialists as well as municipal, provincial, and national coordinators of mental health services across primary through quaternary levels and coordinators of PCC-level adolescent friendly health services. With the mapped care pathways, we determined all potential points of entry, referral processes, and services provided for adolescents across primary care departments and provider-types (e.g., general medicine technician, maternal and child health nurse, physician, etc.). We then used these pathways to identify potential implementers of screening (i.e., providers that serve as points of entry for primary care services) and treatment (i.e., select providers who would be trained to deliver IPT- AG). Over an additional series of virtual meetings among planners, we selected implementation outcomes guided by Proctor’s Implementation Outcomes Framework (21) and identified project-specific performance objectives for each of these based on Ministry of Health goals. We then conducted a qualitative assessment of implementation determinants with our identified adopters and implementers: key informant interviews with national and local health officials involved in adolescent (N = 4) and mental health programming (N = 4) as well as focus groups with mental health specialists (N = 9) and primary care providers (n = 3 general medicine technicians, n = 3 sexual and reproductive health counselors, n = 5 nurses, n = 1 physician) from four PCC. The four PCC included two urban clinics and two peri-urban clinics, the former characterized by providing a wider variety of services, serving a higher patient volume, and having a larger staff than the latter. Mozambican members of the implementation planners conducted four focus groups, one at each PCC. Trained research assistants (not affiliated with the Ministry of Health or primary care system) conducted key informant interviews. The first five interviews were conducted in a private room at the Ministry of Health; owing to COVID-19 related restrictions on in-person activities that occurred during data collection, the remaining three interviews were conducted over Zoom. Each interview lasted ~1 h and each focus group ~90 min. Interviews and focus groups were digitally audio recorded and written notes were taken to summarize responses, record non-verbal communication, and note any disturbances or abnormalities during the session. Interview and focus group guides explored implementation determinants based on the Consolidated Framework for Implementation Research (CFIR) domains (22). Mozambican implementation planners transcribed all interviews and focus groups in pairs, including one person who conducted the interview and one person who was not present. Transcripts were uploaded to Dedoose for coding. Mozambican implementation planners coded all transcripts in pairs, including one person who conducted the interview/focus group and one person who was not present. All transcripts were double coded by two pairs and discrepancies resolved via consensus with the Principal Investigator and the coding pairs. Initially, qualitative data was analyzed using the best fit framework approach (8, 23), in which transcripts were coded using the CFIR constructs as a priori codes and additional emergent codes created for concepts not in the CFIR. However, following attempted coding of two focus groups and two interviews using this method, the team chose to revisit the strategy because CFIR constructs were not well fit to the data. Specifically, the existing constructs did not capture many of the contextual determinants identified in the data. Therefore, the decision was made to instead use an open-coding approach, in which transcripts were coded in full and iteratively relabeled/subcoded as needed. Each code was then summarized and examined for patterns, triangulating results based on different participant (e.g., mental health specialists vs. non-specialist, provider vs. policymaker) perspectives and data type (interviews vs, focus groups), which yielded themes related to implementation determinants. Over a series of virtual meetings among implementation planners, themes were then organized within the five CFIR domains via consensus using Miro, an online visualization and collaboration platform. Peer debriefing was used to promote validity of both methodology and interpretation; prior to data analysis, methodology was presented to and discussed with experienced implementation scientists and global mental health researchers (N = 6) not involved in the present study and, following data analysis, methods and findings were presented to and discussed with implementation scientists with (N = 6) and without (N = 4) specialization in global mental health. We conducted member checking of results with stakeholders across a series of workshops (detailed below in Selection of Implementation Strategies). We held three, day-long workshops with stakeholders to review previously identified service mapping and implementation determinant data and to select, prioritize, and specify implementation strategies. Prior to workshops, the implementation planners created simplified implementation research logic models (24) for (1) the implementation process, (2) depression screening, (3) referral for depressed adolescents, and (4) treatment with IPT-AG (Supplementary Figure 2). We selected potential implementation strategies to include in logic models by first reviewing the Expert Recommendations for Implementing Change (ERIC) (25) and then tailoring strategies to the setting and program objectives or identifying new strategies for determinants not able to be targeted by existing ERIC strategies. Logic models were developed in Miro during virtual meetings among implementation planners. Workshop participants (n = 15) included policymakers (from the Ministry of Health Departments of Mental Health, School and Youth Health, and Primary Health Care, the Ministry of Education and the Office of the State Secretary for Youth), providers (mental health specialists and primary care providers for adolescents from two PCC not included in previous qualitative investigation of implementation determinants), and four local, non-governmental organizations (NGOs) with experience implementing adolescent health services in PCC. The first workshop focused on the implementation process and depression screening, the second on referral and treatment, and the third on strategy specification and finalization of the implementation plan. All workshops included a mix of presentation by the implementation planners and small group interactive discussions with participants and implementation planners. Presentations by implementation planners were used to describe objectives of the project, goals of the workshops, logic models, and implementation strategy specification. Small group discussions were used to (1) elicit feedback on implementation determinants identified and strategies proposed by the implementation planners; (2) identify additional implementation strategies not initially suggested by implementation planners; (3) prioritize strategies by importance and feasibility, by placing post-its of each strategy on a 2×2 table (Supplementary Figure 3); and (4) specify strategies selected for inclusion in the final implementation plan according to Proctor’s implementation strategy specification recommendations (26). Across workshops, each small group included at least one implementation planner to guide discussion, one policymaker, two PCC providers (one mental health specialist, one primary care), and one NGO representative. Temporality of implementation strategies was specified using the EPIS framework (27). Beginning in 2022, we will conduct a cluster randomized trial at PCC in Maputo, Mozambique. We will use mixed methods to compare the implementation outcomes selected in Task 2 (acceptability, appropriateness, penetration, retention, fidelity, sustainability) as well as patient outcomes (change in depression symptoms) in PCC implementing depression screening and IPT-AG compared to clinics continuing with care as usual. Additionally, because data around effective implementation strategies are so limited for LMIC (9), and data on mechanisms of implementation strategy effectiveness are limited in all contexts (28), we will use qualitative evaluation with policymakers, providers, adolescents, and their caregivers to explore mechanisms of implementation strategy action and effectiveness.

Based on the provided description, here are some potential innovations that could be used to improve access to maternal health:

1. Telemedicine: Implementing telemedicine services can provide remote access to maternal health care, allowing pregnant women to consult with healthcare providers and receive necessary care without having to travel long distances.

2. Mobile health applications: Developing mobile applications that provide information and resources related to maternal health can empower women with knowledge and support throughout their pregnancy journey.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support in remote or underserved areas can help bridge the gap in access to maternal healthcare.

4. Transportation solutions: Implementing innovative transportation solutions, such as mobile clinics or ambulance services, can ensure that pregnant women have access to timely and safe transportation to healthcare facilities for prenatal care, delivery, and postnatal care.

5. Public-private partnerships: Collaborating with private sector organizations, such as telecommunications companies or pharmaceutical companies, can help leverage their resources and expertise to improve access to maternal health services.

6. Health information systems: Implementing robust health information systems that can track and monitor maternal health indicators can help identify gaps in access and enable targeted interventions to improve maternal health outcomes.

7. Maternal health education programs: Developing and implementing comprehensive maternal health education programs that target both women and healthcare providers can improve awareness, knowledge, and skills related to maternal health, leading to better access and outcomes.

8. Financial incentives: Introducing financial incentives, such as subsidies or cash transfers, for pregnant women to seek and receive maternal health services can help overcome financial barriers and improve access to care.

9. Task-shifting and training: Training and empowering non-specialist healthcare providers, such as nurses or midwives, to deliver certain maternal health services can help expand access to care in areas with a shortage of specialized healthcare professionals.

10. Quality improvement initiatives: Implementing quality improvement initiatives in healthcare facilities that focus on improving the availability, accessibility, and quality of maternal health services can enhance access and ensure better outcomes for pregnant women.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and needs of the maternal health system in Mozambique.
AI Innovations Description
The recommendation to improve access to maternal health is to leverage stakeholder engagement and virtual environments to develop a strategy for implementation. This involves integrating mental health services within primary care clinics in low- and middle-income countries (LMICs), specifically focusing on adolescent depression services in Mozambique.

The study employed Implementation Mapping, which is a systematic approach to developing implementation strategies. Both in-person and virtual approaches were used to engage stakeholders at multiple levels, including policymakers, mental health specialists, and primary care providers. Through a series of workshops and meetings, the study identified determinants to implementation and developed an implementation plan comprising 33 unique strategies targeting intervention, patient, provider, policy, and community levels.

The implementation plan developed in this study will be evaluated through a cluster randomized trial at primary care clinics in Maputo, Mozambique. The trial will compare the implementation outcomes and patient outcomes between clinics implementing depression screening and treatment with IPT-AG (Interpersonal Psychotherapy for Adolescents-Guided) and clinics continuing with usual care. Qualitative evaluation will also be conducted to explore the mechanisms of implementation strategy effectiveness.

This recommendation aims to address the limited access to mental health services for adolescents in LMICs and provide a model for integrating mental health care within primary care settings in low-resource settings. By leveraging stakeholder engagement and virtual environments, the strategy aims to improve access to maternal health and close the treatment gap for adolescent mental health.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Telemedicine: Implementing telemedicine services can help overcome geographical barriers and improve access to maternal health services. This would involve using technology to provide remote consultations, monitoring, and support for pregnant women, allowing them to access healthcare from their homes or local clinics.

2. Mobile health (mHealth) interventions: Developing mobile applications or text messaging services that provide information and reminders about prenatal care, nutrition, and other important aspects of maternal health can help educate and empower pregnant women, especially in low-resource settings.

3. Community health workers: Expanding the role of community health workers (CHWs) in maternal health can improve access by bringing healthcare services closer to the community. CHWs can provide education, counseling, and basic prenatal care, as well as facilitate referrals to higher-level healthcare facilities when needed.

4. Transportation support: Addressing transportation barriers by providing transportation vouchers or arranging transportation services for pregnant women can help ensure they can access healthcare facilities for prenatal visits, delivery, and postnatal care.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Data collection: Gather data on the current state of maternal health access, including information on healthcare facilities, availability of services, and barriers faced by pregnant women in accessing care.

2. Modeling: Use mathematical modeling techniques to simulate the potential impact of the recommendations on improving access to maternal health. This could involve creating a simulation model that considers factors such as population demographics, geographical distribution, healthcare infrastructure, and the proposed interventions.

3. Parameter estimation: Estimate the parameters needed for the simulation model, such as the effectiveness of the interventions, the coverage of the interventions, and the population characteristics. This can be done through literature review, expert opinions, and data analysis.

4. Simulation runs: Run the simulation model multiple times, varying the parameters to explore different scenarios and assess the potential impact of the recommendations on improving access to maternal health. This can help identify the most effective interventions and their potential outcomes.

5. Evaluation: Analyze the results of the simulation runs to evaluate the impact of the recommendations on improving access to maternal health. This can include assessing changes in healthcare utilization, reduction in barriers, and improvements in maternal health outcomes.

6. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the results and identify key factors that influence the impact of the recommendations. This can help identify areas of uncertainty and guide further research or implementation strategies.

7. Implementation planning: Based on the simulation results, develop an implementation plan that outlines the specific actions needed to implement the recommended interventions. This plan should consider factors such as resource allocation, stakeholder engagement, and monitoring and evaluation strategies.

It is important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and available data.

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