Geographic information system-based evaluation of spatial accessibility to maternal health facilities in Siaya County, Kenya

listen audio

Study Justification:
– Maternal mortality is a significant issue in middle-income and low-income countries.
– Availability and accessibility of healthcare facilities offering safe delivery are crucial in preventing maternal deaths.
– Siaya County in Kenya has a high maternal mortality rate compared to the national average.
– This study aimed to evaluate the geographic access to health facilities offering delivery services in Siaya County.
Highlights:
– Mixed-methods approach combining geographic information system analysis and individual data from semi-structured interviews.
– Travel time maps were derived using AccessMod5 and ArcGIS.
– The study predicted the probability of expectant women delivering in a health facility based on travel times.
– Results showed that a significant percentage of pregnant women could reach a facility within one and two hours, with motorized transport increasing coverage.
– Significant differences in access levels were observed, and transportation-based interventions were found to increase coverage.
– The derived maps can assist health policy planners in identifying underserved areas and monitoring reductions in inequalities.
Recommendations:
– Implement transportation-based interventions to improve access to health facilities for pregnant women.
– Monitor and evaluate the impact of these interventions on reducing maternal mortality rates.
– Use the derived maps to identify and prioritize underserved areas for targeted interventions.
– Continue research on healthcare accessibility using mixed methodologies to further advance the literature.
Key Role Players:
– Siaya County Health Department
– Ministry of Health, Kenya
– Non-governmental organizations working in maternal health
– Community health workers
– Local healthcare providers and facilities
Cost Items for Planning Recommendations:
– Transportation infrastructure improvement (e.g., road repairs, public transportation services)
– Training and capacity building for healthcare providers and community health workers
– Outreach programs and awareness campaigns
– Monitoring and evaluation systems for tracking the impact of interventions
– Data collection and analysis tools and software
– Research and development for advancing mixed methodologies in healthcare accessibility studies

Maternal mortality is a major problem in middle-income and low-income countries, and the availability and accessibility of healthcare facilities offering safe delivery is important in averting maternal deaths. Siaya County, in Kenya, has one of the highest maternal mortality rates in the country—far more than the national average. This study aimed to evaluate geographic access to health facilities offering delivery services in Siaya County. A mixed-methods approach incorporating geographic information system analysis and individual data from semi-structured interviews was used to derive travel time maps to facilities using different travel scenarios: AccessMod5 and ArcGIS were used for these tasks. The derived maps were then linked to georeferenced household survey data in a multilevel logistic regression model in R to predict the probability of expectant women delivering in a health facility. Based on the derived travel times, 26 per cent (13,140) and 67 per cent (32,074) of the estimated 46,332 pregnant women could reach any facility within one and two hours, respectively, while walking with the percentage falling to seven per cent (3,415) and 20 per cent (8,845) when considering referral facilities. Motorised transport significantly increased coverage. The findings revealed that the predicted probability of a pregnant woman delivering in a health facility ranged between 0.14 and 0.86. Significant differences existed in access levels with transportation-based interventions significantly increasing coverage. The derived maps can help health policy planners identify underserved areas and monitor future reductions in inequalities. This work has theoretical implications for conceptualising healthcare accessibility besides advancing the literature on mixed methodologies.

N/A

The study titled “Geographic information system-based evaluation of spatial accessibility to maternal health facilities in Siaya County, Kenya” provides valuable insights into improving access to maternal health in the region. Based on the findings, the following recommendations can be developed into innovations:

1. Improve transportation infrastructure.
2. Establish mobile health clinics.
3. Strengthen referral systems.
4. Utilize geographic information systems (GIS).
5. Implement community-based interventions.

These recommendations aim to enhance access to maternal health services, reduce travel times, and ensure timely access to specialized care for high-risk pregnancies and complications. By implementing these recommendations, it is possible to improve access to maternal health services in Siaya County, Kenya, and reduce maternal mortality rates.
AI Innovations Description
The study titled “Geographic information system-based evaluation of spatial accessibility to maternal health facilities in Siaya County, Kenya” provides valuable insights into improving access to maternal health in the region. Based on the findings, the following recommendations can be developed into innovations:

1. Improve transportation infrastructure: The study highlights the significant impact of motorized transport on increasing coverage and accessibility to maternal health facilities. Investing in transportation infrastructure, such as roads and vehicles, can help pregnant women reach healthcare facilities more easily and reduce travel times.

2. Establish mobile health clinics: Considering the challenges faced by pregnant women in reaching health facilities, establishing mobile health clinics can bring essential maternal health services closer to remote and underserved areas. These clinics can travel to different locations, providing prenatal care, safe delivery services, and postnatal care.

3. Strengthen referral systems: The study indicates that access to referral facilities is limited compared to primary health facilities. Strengthening referral systems by improving communication and transportation between primary and referral facilities can ensure timely access to specialized care for high-risk pregnancies and complications.

4. Utilize geographic information systems (GIS): The study demonstrates the use of GIS to analyze travel times and identify underserved areas. Further development of GIS-based tools and platforms can help health policy planners and decision-makers identify areas with limited access to maternal health services and allocate resources accordingly.

5. Community-based interventions: Engaging the community in maternal health initiatives can improve access and utilization of services. Implementing community health worker programs, conducting awareness campaigns, and involving community leaders can help educate and empower pregnant women to seek timely and appropriate care.

By implementing these recommendations, it is possible to improve access to maternal health services in Siaya County, Kenya, and reduce maternal mortality rates.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health, the following methodology can be employed:

1. Data collection: Gather data on the current transportation infrastructure, including road networks, public transportation routes, and availability of vehicles. Collect information on the existing health facilities, their locations, and services offered. Obtain data on the population distribution and demographic characteristics in Siaya County.

2. GIS analysis: Utilize GIS software, such as ArcGIS, to analyze the data collected. Create a spatial database of health facilities, transportation infrastructure, and population distribution. Calculate travel times from different areas in Siaya County to the nearest health facilities using different modes of transportation (walking, motorized transport).

3. Baseline assessment: Evaluate the current accessibility to maternal health facilities based on the derived travel time maps. Identify areas with limited access and areas that are underserved.

4. Implement recommendations: Introduce the recommended interventions, such as improving transportation infrastructure, establishing mobile health clinics, strengthening referral systems, utilizing GIS tools, and implementing community-based interventions.

5. Impact assessment: Re-run the GIS analysis after implementing the recommendations. Calculate the new travel times to health facilities and compare them with the baseline assessment. Measure the change in accessibility and coverage of maternal health services.

6. Statistical analysis: Use statistical software, such as R, to analyze the impact of the recommendations on the probability of pregnant women delivering in a health facility. Conduct multilevel logistic regression models using the derived travel times and georeferenced household survey data. Compare the predicted probabilities before and after implementing the recommendations.

7. Monitoring and evaluation: Continuously monitor the accessibility to maternal health facilities using GIS tools. Track changes in travel times, coverage, and utilization of services. Assess the effectiveness of the implemented interventions in reducing maternal mortality rates.

By following this methodology, policymakers and health practitioners can assess the potential impact of the recommendations on improving access to maternal health services in Siaya County, Kenya.

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email