Access barriers to maternal healthcare services in selected hard-to-reach areas of zambia: A mixed methods design

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Study Justification:
– Poor access to maternal health services is a major contributing factor to maternal deaths in low-resource settings.
– Understanding access barriers to maternal services is crucial for targeting interventions to improve maternal health.
– This study aimed to explore access barriers to maternal and antenatal services in two rural and hard-to-reach districts of Zambia.
Highlights:
– The study found that facilities’ opening and closing times were satisfactory in both districts.
– Women in Ngabwe faced longer travel times to reach facilities compared to those in Kaputa, due to bad roads and transport challenges.
– The requirement to have a traditional birth attendant (TBA) accompany women when going to deliver from the facility, and the associated cost, was a significant access barrier.
– Services were generally more acceptable in Kaputa than in Ngabwe, although both districts complained about long queues, male health workers delivering babies, and delivery rooms next to male wards.
– Maternal health services appeared to be more accessible in Kaputa compared to Ngabwe, based on the indicators used in the study.
Recommendations:
– Improve road infrastructure and transportation services in Ngabwe to reduce travel time and challenges in accessing maternal health services.
– Address the requirement for TBAs to accompany women during delivery and explore alternative strategies to ensure safe deliveries without incurring additional costs.
– Address the concerns raised about long queues, male health workers delivering babies, and the proximity of delivery rooms to male wards in both districts.
– Further research and interventions are needed to improve the acceptability of maternal health services in Ngabwe.
Key Role Players:
– Ministry of Health, Zambia
– Provincial and District Health Offices
– Traditional Birth Attendants (TBAs)
– Facility In-Charges
– Community Leaders and Representatives
– Non-Governmental Organizations (NGOs) working in maternal health
Cost Items for Planning Recommendations:
– Road construction and maintenance
– Transportation services (e.g., ambulances, vehicles)
– Training and capacity building for healthcare providers
– Awareness campaigns and community engagement activities
– Equipment and supplies for maternal health services
– Monitoring and evaluation activities
– Research and data collection expenses
– Administrative and coordination costs

Introduction: poor access to maternal health services is a one of the major contributing factors to maternal deaths in low-resource settings, and understanding access barriers to maternal services is an important step for targeting interventions aimed at promoting institutional delivery and improving maternal health. This study explored access barriers to maternal and antenatal services in Kaputa and Ngabwe; two of Zambia´s rural and hard-to-reach districts. Methods: a concurrent mixed methods approach was therefore, undertaken to exploring three access dimensions, namely availability, affordability and acceptability, in the two districts. Structured interviews were conducted among 190 eligible women in both districts, while key informant interviews, in-depth interviews and focus group discussions were conducted for the qualitative component. Results: the study found that respondents were happy with facilities´ opening and closing times in both districts. By comparison, however, women in Ngabwe spent significantly more time traveling to facilities than those in Kaputa, with bad roads and transport challenges cited as factors affecting service use. The requirement to have a traditional birth attendant (TBA) accompany a woman when going to deliver from the facility, and paying these TBAs, was a notable access barrier. Generally, services seemed to be more acceptable in Kaputa than in Ngabwe, though both districts complained about long queues, being delivered by male health workers and having delivery rooms next to male wards. Conclusion: based on the indicators of access used in this study, maternal health services seemed to be more accessible in Kaputa compared to Ngabwe.

Study setting: the study was conducted in Zambia´s two rural and hard-to-reach districts of Kaputa and Ngabwe, located in the county´s worst performing provinces of Northern and Central provinces, respectively, in as far as maternal indicators are concerned. Data collection was done between June and July, 2016. Research design: a convergent parallel design was conducted to address the study objectives. Both quantitative and qualitative data were collected at the same time and results interpreted together [15]. A mixed methods approach offers potential for identifying, exploring and understanding accessibility of maternal health services in rural Zambia. Quantitative component: a multi-stage sampling technique was employed for the quantitative study. First, purposive sampling was used to select the two worst performing provinces in maternal health indicators, based on the 2013/14 Zambia Demographic and Health Survey (ZDHS) [16], followed by the selection of the worst performing district in the selected provinces. Cluster sampling was then employed to select three communities per district, after which households with either pregnant women or women who had given birth in the five years preceding this study, were identified from a household listing exercise. A random sample of 95 households were selected per district using simple random sampling. Randomization was utilized to address sample selection bias [17]. The sample size was determined using the prevalence formula [18]. Quantitative data was collected using a pretested structured questionnaire, and information collected included participants´ demographic information and questions measuring indicators of availability, affordability and acceptability of maternal health services. Specifically, availability was measured by travel time, mode of transport used to get to a health facility, and the convenience of facility opening and closing times. Affordability was measured by the expenditure on maternal services, medication, transport, accommodation, food, communication and paying someone to take care of the children at home. Employment status was used as an indicator of respondents´ ability to pay. Acceptability was measured by how respondents felt about length of queues, health workers´ attitudes and respect, and cleanliness of facilities. Qualitative component: qualitative data was collected through four (4) Focus Group Discussions (FGDs) per district with women utilizing maternal health services. In addition, a total of eight (8) Key Informant Interviews (KIIs) per district were conducted; four (4) with Traditional Birth Attendants (TBAs) and four (4) with the facility in-charges. The FGDs were conducted in the community while KIIs were done from the facilities. Participants for the FGDs were identified from the household listing exercise while TBAs were identified with the help of facility-in-charges. The triangulation methods were used to enhance the validity of the findings. Data analysis: the quantitative data was analysed using STATA version 11 for windows [19]. Descriptive statistics were computed to describe the access indicators relating to availability, affordability and acceptability of maternal health services. Qualitative interviews were transcribed verbatim, while those conducted in local language were transcribed then translated to English. The transcripts were checked for completeness and read thoroughly to ensure that no information was lost due to translation. The transcripts were then analysed thematically following already predetermined themes generated from the three access dimensions. The data analysis was conducted with the aid of Nvivo [20]. Ethical consideration: ethical approval was obtained from the University of Zambia Biomedical Research Ethics Committee (UNZABREC) (Reference Number: 937-2020) and permission from the Zambia National Health Research Authority (ZNHRA). Additional permission was obtained from respective provincial and district health offices. Informed consent was obtained from all participants prior to the interviews.

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

1. Mobile clinics: Implementing mobile clinics equipped with essential maternal health services and staffed by healthcare professionals can bring healthcare services closer to rural and hard-to-reach areas. This would reduce the need for women to travel long distances to access maternal health services.

2. Improving transportation infrastructure: Addressing the issue of bad roads and transport challenges in rural areas can significantly improve access to maternal health services. Investing in road infrastructure and transportation systems can make it easier for pregnant women to reach healthcare facilities in a timely manner.

3. Training and empowering traditional birth attendants (TBAs): Instead of requiring TBAs to accompany women to healthcare facilities, providing them with proper training and resources can enable them to provide safe and effective maternal care in their communities. This would reduce the reliance on TBAs and increase access to skilled care.

4. Enhancing facility acceptability: Addressing concerns such as long queues, male health workers delivering babies, and inadequate privacy can improve the acceptability of maternal health services. Creating separate delivery rooms for women and ensuring respectful and culturally sensitive care can encourage more women to seek institutional delivery.

5. Telemedicine and teleconsultations: Utilizing technology to provide remote consultations and medical advice can improve access to maternal health services, especially in areas with limited healthcare resources. Telemedicine can connect pregnant women with healthcare professionals, allowing them to receive guidance and support without the need for physical travel.

These innovations have the potential to address the access barriers identified in the study and improve maternal health outcomes in rural and hard-to-reach areas of Zambia.
AI Innovations Description
Based on the study described, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Improve transportation infrastructure: Address the issue of bad roads and transport challenges in rural and hard-to-reach areas by investing in improving transportation infrastructure. This can include repairing roads, providing reliable transportation options, and ensuring that ambulances are readily available for emergency situations.

Innovation: Develop a mobile health clinic that can travel to remote areas, providing maternal health services to women who have difficulty accessing healthcare facilities. This mobile clinic can be equipped with medical professionals, necessary equipment, and supplies to provide antenatal care, delivery services, and postnatal care to pregnant women in these areas.

By implementing this innovation, women in hard-to-reach areas will have improved access to maternal health services, reducing the barriers they face in accessing care. This will ultimately contribute to reducing maternal deaths and improving maternal health outcomes in low-resource settings.
AI Innovations Methodology
In order to improve access to maternal health in hard-to-reach areas, the following innovations and recommendations can be considered:

1. Mobile Clinics: Implementing mobile clinics that can travel to remote areas, providing essential maternal health services such as antenatal care, prenatal check-ups, and vaccinations. This would reduce the need for women to travel long distances to access healthcare facilities.

2. Telemedicine: Utilizing telemedicine technology to connect healthcare providers with pregnant women in remote areas. This would allow for remote consultations, monitoring, and guidance, reducing the need for women to travel for routine check-ups.

3. Community Health Workers: Training and deploying community health workers in hard-to-reach areas to provide basic maternal health services, education, and referrals. These workers can act as a bridge between the community and healthcare facilities, improving access and awareness.

4. Transportation Support: Providing transportation support, such as ambulances or vouchers for transportation, to pregnant women in remote areas. This would address the challenges of bad roads and transport difficulties mentioned in the study.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

1. Define the objectives: Clearly define the objectives of the simulation study, such as measuring the potential impact of the recommendations on access to maternal health services in the selected hard-to-reach areas.

2. Data collection: Gather relevant data on the current state of maternal health services in the study areas, including information on availability, affordability, and acceptability. This can include data from the study mentioned, as well as additional data sources.

3. Model development: Develop a simulation model that represents the current state of maternal health services in the study areas. This model should incorporate factors such as distance to healthcare facilities, availability of services, transportation challenges, and other barriers identified in the study.

4. Introduce the recommendations: Modify the simulation model to incorporate the proposed innovations and recommendations. This may involve adjusting factors such as the presence of mobile clinics, telemedicine services, community health workers, and transportation support.

5. Simulate the impact: Run the simulation model with the proposed recommendations to assess their potential impact on improving access to maternal health services. This can involve measuring indicators such as travel time, service utilization rates, and overall accessibility.

6. Analyze the results: Analyze the simulation results to determine the potential benefits and limitations of the recommendations. This can include identifying areas of improvement, cost-effectiveness, and potential challenges in implementing the innovations.

7. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and iterate the simulation model if necessary. This can involve adjusting parameters, exploring alternative scenarios, or incorporating additional factors.

By following this methodology, researchers and policymakers can gain insights into the potential impact of innovations and recommendations on improving access to maternal health services in hard-to-reach areas. This can inform decision-making and help prioritize interventions that are most likely to have a positive impact on maternal health outcomes.

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