Human-centered design exploration with Kenyan health workers on proposed digital mental health screening and intervention training development: Thematic analysis of user preferences and needs

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Study Justification:
– The study aims to explore the needs and preferences of healthcare providers in Kenya regarding mental health training and intervention, specifically focusing on peripartum adolescent mental health care.
– The study addresses the perceived knowledge, competency, and self-efficacy of health providers in supporting their patients’ mental health needs, which contributes to optimal patient health outcomes.
– The study also investigates the engagement of healthcare providers with technology for learning and offering mental health services.
Highlights:
– The participants in the study were well-exposed to digital technologies.
– Barriers to e-health training were identified, including prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets.
– Opportunities for adolescent mental health service and intervention needs were identified, along with a willingness to take online courses offered on learning platforms and a desire for dissemination through diverse social media.
– Recommendations include the development of a user-friendly interface, data-light engaging and practical materials, including animations and short, group-based learning.
Recommendations:
– Develop a user-friendly interface for digital mental health screening and intervention training.
– Create data-light engaging and practical materials, including animations and short, group-based learning.
– Disseminate training through diverse social media platforms.
– Address barriers to e-health training, such as prohibitive costs of data bundles and lack of funds for consistent online engagement.
– Provide support for healthcare providers in accessing appropriate gadgets for e-health training.
Key Role Players:
– Specialists in mental health care
– Psychiatrists
– Psychologists
– Nurses
– Clinical officers
– Medical social workers
Cost Items for Planning Recommendations:
– Development of a user-friendly interface
– Creation of engaging and practical materials, including animations
– Provision of online learning platforms
– Dissemination through social media platforms
– Support for healthcare providers in accessing appropriate gadgets for e-health training

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study provides a clear background and methodology, including the number of participants and their demographics. Thematic analysis was used to analyze the data, and the results highlight the participants’ exposure to digital technologies and their preferences for digital learning and training. However, the abstract could be improved by providing more specific details about the findings, such as the main themes that emerged from the analysis. Additionally, it would be helpful to include information about the limitations of the study and any implications for future research or practice. To improve the evidence, the authors could consider providing more specific and detailed information about the barriers and challenges identified by the participants, as well as the specific recommendations they made for developing user-friendly digital training materials. Including this information would enhance the overall strength of the evidence and provide more actionable insights for practitioners and researchers in the field of digital mental health screening and intervention training.

Background: Health providers’ perceived sense of knowledge, competency, and self-efficacy to support the needs of their patients contributes to optimal patient health outcomes. With regards to mental health service delivery in Kenya, this area needs further exploration. Guided by the e-health technology acceptance mode, the needs and preferences of health care providers around mental health training for clinical management and their ability to intervene in peripartum adolescent mental health care are explored. We probed how well-equipped service providers are, their engagement with technology to learn and offer services. The health care provider’s technology use preferences were also explored. Method: Guided by a human-centered design-focused qualitative inquiry we interviewed 20 specialists around their needs, perspectives, and preferences for digitized mental health screening and intervention. Mean age was 44.2 years, (range of 32–58 years), 25% (5) males and 75% (15) females. After a written consenting process, the online interviews (30−45 min) were conducted in April 2021, once personal information was de-identified interviews were transcribed and coded. Thematic analysis was used and we combined rapid appraisal of Google Jamboard online storyboards to do individual human-centered design personas alongside. Results: Our participants were well-exposed to digital technologies. Prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets were found to be barriers to e-health training. Emerging opportunities were well-identified adolescent mental health service and intervention needs, willingness to take online courses offered on learning platforms, and wish for these to be disseminated through diverse social media. Other recommendations were the need to have a user-friendly interface such as data-light engaging and practical materials including animations, short, group-based learning. Conclusion: Understanding contextual factors that influence perceived usefulness and ease of use of the remote/digital components would be critical for e-training development and its uptake.

The participants were identified at four key facilities—Kenyatta National Hospital (KNH), Mathari National Teaching and Referral Hospital, Pumwani Hospital, and Nairobi Metropolitan Services’ Ngara Health Centre. KNH is the largest of the five National referral hospitals in Kenya with a bed capacity of 1800, receiving patients from all over the country for specialized care. KNH has a fully-fledged department of mental health with 5 psychiatrists, 12 psychologists, and 4 nurses. Mathari national hospital is a national referral mental health facility with mental health staff of 320 nurses, 10 clinical officers, 20 psychiatrists, 19 psychologists, and 5 medical social workers. Pumwani hospital is the biggest maternity hospital in Kenya with close to 200 nurses, 14 clinical officers, 2 psychologists, and 3 medical social workers on ground, but no dedicated mental health department. Ngara Health facility has 5 psychologists, 9 clinical officers, 25 nurses, 1 psychiatrist, and 3 medical social workers. All these facilities run outpatient services with KNH and Mathari offering inpatient services as well. There are no dedicated inpatient services for child and adolescent mental health populations. It provides facilities for medical education and training to colleges and universities as well as participating in national health planning. 29 Mathari National Teaching and Referral Hospital is the only public specialized facility for mental health patients that is also among the five national referral hospitals in Kenya. It offers specialized psychiatric services, drug rehabilitation, forensic services, and training in psychiatric services. It has a bed capacity of 700 and also participates as a national referral hospital in national health planning. 29 Pumwani maternity hospital is the largest obstetric and referral hospital in Kenya for delivery of expectant mothers, with a bed capacity of 354, and the majority of its clients are from the poor socio-economic background. 30 Ngara health center is located just next to the Nairobi Central business district with a population of 31,132 residents living around it. 31 The participants were facility staff carrying out key duties in adolescent, maternal health units as well as those providing mental health services. An interview guide was developed by the team which was refined after two pilot interviews were carried out. The final guide addressed the following areas: (1) dynamics of the COVID-19 pandemic, (2) proposed training, (3) technology’s role, and (4) other considerations. The eHealth TAM focuses on understanding contextual factors that influence perceived usefulness and ease of use of the remote/digital components. These also consider how user experiences, attitudes inform intention and practical use of technology which in this context focuses on digital training. A thematic analysis covering exposure to technology, choice of gadgets for engagement with digital services, online training, or other professional learning exchange was probed. Preferences for digital learning and training including barriers and challenges, choice of social media platforms, provider understanding of mental health needs during pandemic, and needs of adolescents especially peripartum adolescents were probed. The interviews were conducted online after consent forms were physically distributed and collected prior to the interview appointment. Consent forms were read out again during the interview reiterating participant rights and providing an overview of the studies. The interviews were conducted by PM, VN, JK, and MK. VN and MK wrote notes on the open-access Google Jamboard using Zoom’s shared screen option to make the questions more interactive, allowing the respondents to see what was being noted down as the interviewer asked questions to the participants (Box 1). Given that these meetings were online, the Jamboard provided a structure to focus attention on participants’ key experiences and thought processes during the interview. The questions were asked by the lead interviewer and sometimes clarifications were sought by other team members. The Jamboard was to help build personas and stories for every participant that they could further curate and interact with around their engagement with mental health and interaction with digital technology. This also offered our participants an interactive way to process their material given these interviews were carried out online and offered our team to further probe based on responses. VN transcribed the interviews and the authors collected reviewed themes and developed Jamboard prototypical personas (Figures 2a and ​andbb). Interview questions mapped on our conceptual model. (a) Using Google Jamboard to create participant personas and needs assessment. (b) Jamboard of Participant 19.

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

1. Digital mental health screening and intervention training: Develop a digital platform or application that provides training for health care providers on mental health screening and intervention during the peripartum period. This can help improve their knowledge, competency, and self-efficacy in supporting the mental health needs of their patients.

2. User-friendly interface: Create a user-friendly interface for the digital training platform, ensuring it is easy to navigate and understand. This can include data-light engaging and practical materials, such as animations and short, group-based learning modules.

3. Online courses on learning platforms: Offer online courses on existing learning platforms that are accessible to health care providers. This can provide flexibility in terms of when and where they can access the training, overcoming barriers such as high workload and instability of access to appropriate gadgets.

4. Dissemination through diverse social media: Utilize diverse social media platforms to disseminate the digital training materials. This can reach a wider audience of health care providers and increase awareness and uptake of the training.

5. Addressing barriers: Address barriers to e-health training, such as prohibitive costs of data bundles and lack of funds for consistent online engagement. Explore potential solutions, such as providing subsidies for data bundles or securing funding for health care providers to access the training.

6. Collaboration with key facilities: Collaborate with key facilities, such as Kenyatta National Hospital, Mathari National Teaching and Referral Hospital, Pumwani Hospital, and Nairobi Metropolitan Services’ Ngara Health Centre, to ensure the training is tailored to the specific needs and contexts of these facilities.

7. Inclusion of adolescent mental health needs: Incorporate training modules that specifically address the mental health needs of peripartum adolescents. This can help health care providers better understand and support this vulnerable population.

8. Integration with existing services: Ensure seamless integration of the digital training platform with existing maternal health services. This can facilitate the adoption and implementation of the training within the healthcare system.

These innovations can contribute to improving access to maternal health by enhancing the knowledge and skills of health care providers, addressing barriers to training, and providing user-friendly and accessible resources.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health would be to develop a digital mental health screening and intervention training program for healthcare providers in Kenya. This recommendation is based on the findings that the participants were well-exposed to digital technologies and expressed a willingness to take online courses offered on learning platforms. The program should have a user-friendly interface, including data-light engaging and practical materials such as animations and short, group-based learning. Additionally, the training should be disseminated through diverse social media platforms to reach a wider audience. This innovation would address the barriers identified, such as prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets. By providing healthcare providers with the necessary knowledge and skills to support peripartum adolescent mental health care, this innovation would contribute to improving maternal health outcomes in Kenya.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Develop a digital mental health screening and intervention training program: Based on the findings of the study, there is a need for training programs that equip healthcare providers with the knowledge and skills to support peripartum adolescent mental health care. Developing a digital training program can make it more accessible and convenient for healthcare providers to learn and offer services.

2. Ensure affordability of data bundles: Prohibitive costs of data bundles were identified as a barrier to e-health training. To improve access, it is important to address the affordability of data bundles, either through subsidies or partnerships with telecommunication companies.

3. Provide consistent online engagement: Lack of funds for consistent online engagement was identified as a barrier. Ensuring consistent access to online platforms for training can be achieved through partnerships with internet service providers or by providing healthcare providers with devices and internet access.

4. Improve access to appropriate gadgets: Instability of access to appropriate gadgets was identified as a barrier. Providing healthcare providers with the necessary devices, such as smartphones or tablets, can improve their access to digital training materials.

5. Disseminate training through diverse social media: Healthcare providers expressed a preference for training materials to be disseminated through diverse social media platforms. Utilizing platforms such as Facebook, WhatsApp, or YouTube can reach a wider audience and improve access to training materials.

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

1. Define the target population: Identify the specific group of healthcare providers who would benefit from the digital mental health screening and intervention training program.

2. Collect baseline data: Gather information on the current access to maternal health services and the level of knowledge and skills among healthcare providers in the target population.

3. Develop a simulation model: Create a simulation model that incorporates the recommendations, taking into account factors such as the availability of digital training materials, affordability of data bundles, access to appropriate gadgets, and dissemination through social media.

4. Input data and parameters: Input the baseline data and parameters into the simulation model, including the number of healthcare providers, their access to digital resources, and the impact of the recommendations on improving access.

5. Run simulations: Run multiple simulations using different scenarios to assess the potential impact of the recommendations on improving access to maternal health. This could include variations in the availability of digital training materials, affordability of data bundles, and access to appropriate gadgets.

6. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This could include metrics such as the number of healthcare providers trained, the increase in knowledge and skills, and the reach of the training materials through social media.

7. Refine and iterate: Based on the results of the simulations, refine and iterate the recommendations and simulation model to further optimize the impact on improving access to maternal health.

By following this methodology, it would be possible to simulate the potential impact of the recommendations on improving access to maternal health and make informed decisions on implementing and scaling up these innovations.

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