A human centred approach to digital technologies in health care delivery among mothers, children and adolescents

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Study Justification:
– Healthcare outcomes in child, adolescent, and maternal health in Tanzania are poor, with fragmented service provision.
– Digital technologies present opportunities to improve health information management and coordination.
– Prior to implementing the Afya-Tek digital intervention, formative research was conducted to ensure it meets user needs.
– The study aimed to examine the burden of disease, healthcare workflow procedures and challenges, adolescent health and health seeking behavior, and perceptions on the use of digital technologies in healthcare delivery.
Highlights:
– Findings suggest that the burden of diseases and health seeking behavior differ across age and social groups.
– Healthcare actors face challenges such as lack of proper mechanisms to track referrals and patient information.
– There is a keen interest in the use of technologies to improve care coordination and health outcomes.
– The formative research provided background information to inform the design and implementation of the Afya-Tek digital health intervention.
Recommendations:
– Design and implement the Afya-Tek digital health intervention based on the needs identified in the formative research.
– Improve mechanisms for tracking referrals and patient information to enhance care coordination.
– Promote the use of digital technologies in healthcare delivery to improve health outcomes.
– Ensure the digital intervention is tailored to meet the needs of users.
Key Role Players:
– Researchers and research assistants
– Community Health Workers (CHWs)
– Healthcare providers (nurses, medical officers, doctors, etc.)
– CHW supervisors
– Reproductive and child health staff
– Clinical officers
– Data managers
– Community members (mothers, children, adolescents)
– District officials
– Pharmacy Council Registrar
– Officials from PO-RALG (President’s Office – Regional Administration and Local Government)
Cost Items for Planning Recommendations:
– Research personnel salaries and training
– Data collection materials (audio recording devices, notebooks, etc.)
– Travel expenses for data collection
– Transcription and translation services
– Computer software for data analysis (NVivo QSR)
– Ethical clearance fees
– Publication costs

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a qualitative exploratory study that employed various methods of data collection. The study was conducted over a period of several months and involved multiple levels of participants. The findings provide insights into the burden of disease, health seeking behavior, workflow procedures, and perceptions on the use of digital technologies in healthcare delivery. The study design and data collection methods are appropriate for the research objectives. However, to improve the strength of the evidence, it would be beneficial to include information on the sample size, demographics of the participants, and any limitations of the study. Additionally, providing more specific details on the thematic analysis and the key findings would enhance the clarity and usefulness of the abstract.

Background:: Healthcare outcomes in child, adolescent and maternal in Tanzania are poor, and mostly characterised by fragmentary service provision. In order to address this weakness, digital technologies are sought to be integrated in the milieu of health as they present vast opportunities especially in the ability to improve health information management and coordination. Prior to the design and implementation of the Afya-Tek digital intervention, formative research was carried out to ensure that the solution meets the needs of the users. The formative research aimed to examine: the burden of disease and related health seeking behaviour; workflow procedures and challenges experiencing healthcare actors; adolescent health and health seeking behaviour; and lastly examine technological literacy and perceptions on the use of digital technologies in healthcare delivery. This paper therefore, presents findings from the formative research. Methods:: The study employed exploratory design grounded in a qualitative approach. In-depth interview, focus group discussion, participant observation and documentary review methods were used for collecting data at different levels. The analysis was done thematically, whereby meaning was deduced behind the words which the participants used. Results:: Findings suggest that the perceived burden of diseases and health seeking behaviour differ across age and social group. Multiple work-related challenges, such as lack of proper mechanism to track referrals and patient’s information were noted across healthcare actors. There was a keen interest in the use of technologies shown by all study participants to improve care coordination and health outcomes among health system actors. Participants shared their views on how they envision the digital system working. Conclusion:: The formative research provided insightful background information with regard to the study objectives. The findings are used for informing the subsequent phases of the co-development and implementation of the Afya-Tek digital health intervention; with a view to making it relevant to the needs of those who will use it in the future. As such, the findings have to a large extent met the purpose of the current study by envisaging the best ways to design digital intervention tailored to meet the needs of those who will be using it.

We conducted a qualitative exploratory study. We employed qualitative methods of data collection such as in-depth interviews, focus group discussion, participant observation, and documentary review. The study was conducted from November 2019 to February 2020. The design offered an opportunity to gain a deeper understanding of required aspects of the community and health practices and experiences prior to the co-development of the digital health intervention. The study was inspired by the principles of grounded theory [10] as such the study was iterative in nature. Continuous field data analysis and interpretation provided insights used to revise the interview guides on an ongoing basis. The Afya Tek project operates in two administrative district councils of Kibaha District in the Coast Region. Administratively, Kibaha is divided into two councils: Kibaha District Council (DC) and Kibaha Town Council (TC). Kibaha is bordered to the North by the Bagamoyo District, to the South by Kisarawe District, to the East by Dar es Salaam, and to the West by Morogoro Region. It is directly linked with Bagamoyo town by seasonal road, while connected to other district headquarters such as Kisarawe, Mkuranga, Kilindi and Utete (Rufiji). The 2012 census conducted indicated that the total population of Kibaha amounts to 200,000 people. Kibaha is inhabited by people from different ethnic groups and cultural diversities, including religion. The main ethnic groups found in the district include Zaramo, Kwere, Doe, Masai, and Barbaig. Kibaha has a vast area of land that allows people to engage in various economic activities, including agriculture, livestock keeping, beekeeping, trade, processing (timber, flour mills) and small-scale entrepreneurship. This study is part of the larger Afya Tek project which is being implemented in the two councils in Kibaha. The research participants were purposively sampled to ensure that relevant information as per the study objectives is obtained. The sampling strategy based on the principles of gradual selection, as well as maximal variation to capture prospective differences in responses between the participant groups [11]. Our sampling based on saturation principles, that is, we continued sampling new participants until no new information emerged from the responses [12]. The recruitment of participants was conducted through the existing community-based networks in Kibaha TC and DC. Responsible district councils’ authorities in Kibaha TC and Kibaha DC were aware of the study, and supported us by ensuring a successful data collection exercise. Data were collected at different levels of potential users of the Afya-Tek intervention, beneficiaries and other relevant stakeholders in the two Councils (Table 1). Participants in the study In this section we are describing the demographic information of the participants. Religion wise, most of the participants were Muslims. It should be noted that Kibaha is one of the coastal towns where Islamic religion is dominant. Regarding the level of education, there were variations between the groups; most of CHWs, both adult males and females, aged 27–50 years, had completed secondary education. In terms of occupation, apart from their formal CHW work, most CHWs were also farmers and entrepreneurs. Healthcare providers comprised registered nurses, assistant medical officers, medical doctors, CHW supervisors, reproductive and child health staff, clinical officers, data managers, and CHMT members. Health providers’ age range was 35–48 years. Majority of the ADDO dispensers were women, and also worked as nurses in health facilities, farmers and entrepreneurs. Most of out of school adolescent girls, aged 15–19 years, had children. They are engaging in small-scale entrepreneurship jobs like selling buns, fish and other food stuffs. Majority of them had completed primary education while others had dropped out of secondary school because of pregnancy. Adolescent boys, aged 15–19 years, who were part of the study were either in secondary school or out of school. 14 experienced research assistants were recruited and trained by the research team, using the developed preliminary Swahili interview guides. The data were collected in Swahili language by a team of trained researchers and research assistants. We collected primary data through qualitative (in-depth) interviewing method, focus group discussions, and participant observations. The rationale for using these methods was based on the reality that understanding background information in relation to the study objectives prior to project design and implementation required in-depth exploration of first-hand accounts and behavior of the participants. One to one form of interviews was carried out among three groups of participants (ADDO dispensers, health facility staff, and district officials) at their workplaces. Community Health Workers were interviewed at their convenient locations within the community, which included health facilities and village offices. The interview process was flexible enough to allow ADDO clients/fellow staff to access services in-between. Healthcare providers at health facilities were interviewed at their respective facilities when they had free time. Patients and community members were interviewed at their homes or in other private locations as per their preference. At the national level, in-depth interviews were conducted with the Pharmacy Council Registrar and officials from PO-RALG. The length of each in-depth interview would take between 45 and 60 min. Focus group discussions were held with maternal, pregnant women, adolescents, CHWs and CHMTs at different places including village/ward offices, health facilities, and schools. Focus group discussions followed key interviews (in-depth interviews) after identifying knowledgeable individuals to hold group discussions. Focus group discussions were employed to gain social groups general consensus and mapping predominant social ideals on issues under study. The length of each FGD would take between 60 and 90 min depending on the activeness of the participants and emerging issues under discussion. All the in-depth interviews and focus group discussions were recorded with audio recording devices but at the same time, research assistants also took notes of the key issues raised during the sessions. A total of 30 participant observations were conducted in the CHW, ADDO, and health facility settings; For easy management of observations and cases, 5 observations per group of stakeholders (CHWs, ADDOs and health facilities) were carried out from each of the two councils. This involved taking part in daily routine of healthcare seekers and deliverers to further explore health seeking and delivery behaviours among patients and caregivers. It also involved extensive engagement in community health activities to further explore patient interaction, use of referral forms and patient registers at both CHW and ADDO levels. At the health facility, the system of receiving patients was observed, along with patient files and registers, which are all currently paper based. The interview data generated from IDIs and FGDs were in the form of personal handwritten notes based on researcher memos, and the digital audio-recordings. The observational data was recorded through diary and fieldnotes. The primary data were then converted into written electronic form and transferred into computer databases. All digital recordings of IDIs and FGDs were transcribed verbatim in Swahili, and where needed translated into English. Overall data processing and organization was managed using the NVivo QSR (Version 12+). This computer assisted qualitative data analysis software helped sort and organize the bulk of raw data generated. Thereafter, data was transformed into meaningful findings. This required engaging thematic analytic procedure to analyse the data in line with research questions. The data was deduced behind the words which the participants used. Code frames were developed to generate themes. Coding was done by four different research assistants before final agreement on the final codes to ensure consistency and agreement. This list of thematic codes was reviewed and grouped into categories and themes for analysis by the team of four researchers. Analysis was undertaken using a framework of grouping relevant themes that answer key issues as per the study objectives. This was then used to facilitate the analysis of thematic concerns and trends arising from the narratives. Ethical clearance was sought and obtained from the National Institute for Medical Research of Tanzania (NIMR) and the IRB of Institute of Tropical Medicine, Antwerp. An information sheet about the study was written in Swahili, explaining why it is being carried out, by who, what it will involve, as well as the rights of the participants. During recruitment and prior to participation, informed consent was sought from all participants by a written form. For adolescents who were under the age of 18 years, consent was sought from their parents or guardians, while for those adolescents and remaining participants aged 18 years and above, the consent was given by themselves. Among the key concerns taken into consideration was to safeguard the dignity, rights as well as safety of the participants. Confidentiality of all study participants was assured through practices of pseudonymisation. For the purpose of ensuring confidentiality, all data presentation has used pseudo names.

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

1. Afya-Tek Digital Health Intervention: The Afya-Tek project aims to integrate digital technologies into healthcare delivery to improve health information management and coordination. This digital intervention could be further developed and implemented to enhance access to maternal health services.

2. Human-Centered Design: The study emphasizes the importance of a human-centered approach to the design and implementation of digital technologies in healthcare. This approach ensures that the solution meets the needs of the users, including mothers, children, and adolescents. By prioritizing user needs and preferences, the accessibility and effectiveness of maternal health services can be improved.

3. Improved Health Information Management: The study highlights the challenges experienced by healthcare actors, such as the lack of proper mechanisms to track referrals and patient information. Innovations in health information management systems, such as electronic medical records and digital referral systems, could streamline the process and improve access to maternal health services.

4. Technological Literacy and Training: The study reveals a keen interest in the use of technologies among study participants to improve care coordination and health outcomes. Innovations that focus on improving technological literacy and providing training on the use of digital technologies in healthcare delivery could empower healthcare providers and users to effectively utilize these tools for maternal health.

5. Community-Based Networks: The study mentions the recruitment of participants through existing community-based networks. Strengthening and expanding these networks could enhance community engagement and participation in maternal health initiatives. Innovations that leverage community-based networks, such as mobile health platforms or community health worker programs, could improve access to maternal health information and services.

6. Mobile Health (mHealth) Solutions: Given the widespread use of mobile phones in Tanzania, mHealth solutions could be leveraged to improve access to maternal health services. Innovations such as mobile apps or SMS-based platforms could provide information, reminders, and support to mothers, children, and adolescents, even in remote areas.

7. Collaboration and Coordination: The study highlights the need for improved care coordination and health outcomes among health system actors. Innovations that facilitate collaboration and coordination among healthcare providers, such as telemedicine platforms or virtual consultation services, could enhance access to maternal health services, particularly in underserved areas.

These are just a few potential innovations based on the information provided. Further research and collaboration with stakeholders would be necessary to develop and implement these innovations effectively.
AI Innovations Description
The recommendation to improve access to maternal health based on the provided information is to develop a human-centered approach to digital technologies in healthcare delivery among mothers, children, and adolescents. This approach involves integrating digital technologies into the healthcare system to improve health information management and coordination.

To ensure the effectiveness of this digital intervention, it is important to conduct formative research. This research should aim to examine the burden of disease and health-seeking behavior, workflow procedures and challenges experienced by healthcare actors, adolescent health and health-seeking behavior, and technological literacy and perceptions on the use of digital technologies in healthcare delivery.

The formative research should employ qualitative methods such as in-depth interviews, focus group discussions, participant observation, and documentary review. These methods will provide insights into the needs and preferences of the users, as well as the challenges and opportunities in implementing the digital intervention.

The research should be conducted in the target area, such as the two administrative district councils of Kibaha District in the Coast Region of Tanzania. The participants should be purposively sampled to ensure that relevant information is obtained. The sampling strategy should be based on gradual selection and maximal variation to capture prospective differences in responses between participant groups.

Data collection should be conducted at different levels of potential users of the digital intervention, including healthcare providers, community health workers, adolescents, and other relevant stakeholders. In-depth interviews, focus group discussions, and participant observations should be used to collect primary data. The data should be recorded with audio recording devices and supplemented with notes taken by research assistants.

The collected data should be processed and organized using qualitative data analysis software. Thematic analysis should be conducted to identify key themes and categories that answer the research questions. The findings should be used to inform the co-development and implementation of the digital health intervention, ensuring that it is tailored to meet the needs of the users.

Ethical clearance should be obtained from relevant research ethics committees, and informed consent should be sought from all participants. Confidentiality should be ensured through practices of pseudonymization, and the rights and safety of the participants should be safeguarded throughout the research process.
AI Innovations Methodology
Based on the provided information, the study conducted qualitative exploratory research to inform the design and implementation of the Afya-Tek digital health intervention. The research employed methods such as in-depth interviews, focus group discussions, participant observations, and documentary reviews. The study was conducted from November 2019 to February 2020 in two administrative district councils in Kibaha, Tanzania.

The research participants were purposively sampled, including community health workers, healthcare providers, ADDO dispensers, out-of-school adolescent girls and boys, and other relevant stakeholders. Data collection was conducted at different levels, including health facilities, village offices, and homes. In-depth interviews were conducted with individual participants, while focus group discussions were held with groups of participants to gain social consensus. Participant observations were also conducted to further explore health seeking and delivery behaviors.

The collected data, including audio recordings, handwritten notes, and observational data, were processed and organized using computer-assisted qualitative data analysis software. Thematic analysis was performed to identify key themes and categories that addressed the research questions. Ethical clearance was obtained, and informed consent was sought from all participants.

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

1. Identify the specific recommendations for improving access to maternal health based on the findings of the formative research.
2. Define the indicators or metrics that will be used to measure the impact of the recommendations, such as the number of women accessing antenatal care or the reduction in maternal mortality rates.
3. Collect baseline data on the identified indicators before implementing the recommendations.
4. Implement the recommendations, which could involve the development and deployment of the Afya-Tek digital health intervention.
5. Monitor and collect data on the indicators after implementing the recommendations.
6. Compare the post-implementation data with the baseline data to assess the impact of the recommendations on improving access to maternal health.
7. Analyze the data to determine the extent of the impact and identify any challenges or limitations.
8. Use the findings to refine and improve the recommendations and interventions for further implementation.

This methodology would provide a systematic approach to evaluate the effectiveness of the recommendations in improving access to maternal health and inform future interventions and innovations in this area.

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