Average Time Spent in Referral Process and its Determinants Among Clients of Maternal and Child Health Service in 2 Districts of Jimma Zone, Ethiopia

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Study Justification:
– The study aims to assess the average time spent between referring and service utilization at receiving health facilities in two districts of Jimma Zone, Ethiopia.
– This is important because the time spent in the referral process can greatly impact the outcome of referred patients, especially among women in low-income countries with limited access to early and appropriate referrals.
– By understanding the average time spent and its determinants, policymakers and healthcare providers can identify areas for improvement and implement strategies to reduce waiting times and improve the overall quality of care.
Study Highlights:
– The study included 266 women who participated in the assessment.
– The majority of participants came for maternal health services, and more than half were self-referrals.
– The main reason for referral was further evaluation and management.
– Women spent a maximum of 540 minutes (9 hours) on the way to arrive at the receiving health facility.
– Residence and distance were found to be predictor variables for average time spent.
Study Recommendations:
– Based on the findings, it is recommended to implement strategies to reduce waiting times and improve the efficiency of the referral process.
– This can include improving transportation infrastructure and accessibility to health facilities, especially in remote areas.
– Strengthening referral systems and coordination between health facilities can also help streamline the process and reduce delays.
– Training healthcare providers on the importance of timely referrals and improving communication between referring and receiving facilities is crucial.
– Regular monitoring and evaluation of the referral process should be conducted to identify bottlenecks and implement necessary interventions.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of strategies to improve the referral process.
– Regional Health Bureau: Provides oversight and support to health facilities in the region.
– District Health Offices: Responsible for coordinating and implementing healthcare services at the district level.
– Health Facility Managers: Ensure the smooth operation of health facilities and adherence to referral protocols.
– Healthcare Providers: Responsible for timely and appropriate referrals and providing quality care to referred patients.
– Community Health Workers: Play a crucial role in identifying and referring patients to health facilities.
Cost Items for Planning Recommendations:
– Transportation infrastructure improvement: Budget for road construction, maintenance, and transportation services in remote areas.
– Health facility infrastructure improvement: Budget for the construction, renovation, and equipment of health facilities.
– Training and capacity building: Budget for training healthcare providers on referral protocols and communication skills.
– Monitoring and evaluation: Budget for data collection, analysis, and reporting to assess the effectiveness of interventions.
– Community engagement: Budget for community awareness campaigns and engagement activities to promote timely referrals and utilization of health services.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study employed a cross-sectional design and used a time and motion approach to collect data. The sample size was adequate, with 266 women participating in the study. The statistical analysis included binary and multivariable logistic regression analysis. However, there are some areas for improvement. Firstly, the abstract does not provide information on the representativeness of the sample or the sampling method used. Secondly, the abstract does not mention any limitations of the study. To improve the strength of the evidence, future studies could consider using a larger and more diverse sample, provide information on the representativeness of the sample, and discuss the limitations of the study.

Background: The time spent between referring and receiving health facilities is an important determinant of the outcome of the referred patients/clients especially among women in low-income countries due to poor access to early and appropriate referrals. Thus, the aim of this study is to assess the average time spent between referring and service utilization at receiving health facility. Methods: A cross-sectional study was employed by using time and motion approach. Structured questionnaire and observation checklist were used for collecting data. SPSS 21 version was used for data analysis and binary and multivariable logistic regression analysis was carried out to identify a variable that has a significant association on the basis of OR, 95% confidence interval, and a P value of less than.05. Result: A total of 266 women participated in the study with the mean age of the study population is 24.65 (±5.03) years. The majority, (223 (83.8%)) of the participants came for maternal health services and more than half, (143 (53.8%)) of the respondents were self-referrals. Among the referred cases, the main reason for the referral was for further evaluation and management. Women spent a maximum of 540 min on the way to arrive at receiving health facility. Residence and distance were the predictor variables for average time spent. Conclusion: In general, women wait a maximum of one and half hours to contact health care providers for assessment and more than two-fifth of the women wait more than 3 h to get the service at receiving health facility.

Study setting: This cross-sectional study was conducted from February to May 2020 in 2 purposively selected districts [Omo Beyam and Omo Nada] in Jimma zone. Jimma zone is situated in Southwest Ethiopia, 357 km from the capital city, Addis Ababa. Jimma Zone is home for nearly 2.5 million people (CSA, 2007). There are 3 425 206 populations, 21 woredas, 562 Kebeles, 15 527 Gare, 75 232 Shane, 1 tertiary hospital, 3 general hospitals, 3 primary hospitals, 122 Health centers, and 512 health posts in the zone. The 2 districts have a total of 336 055 populations, 46 health posts, 11 health centers, and 1 primary hospital. All clients receiving Maternal, Newborn and Child Health (MNCH) related services during the specified study period at all levels of health care delivery point in the 2 districts. First the 2 districts were purposively selected and a list of public health facilities under each district was prepared based on their level/ tier/rank. Then, 5 health centers and one hospital were randomly selected from the 2 districts to be included in the study. Then, all women/clients and their children visiting the selected health facilities and received care during the study period were observed and interviewed. Measurement of time: Time and motion study, which is a direct observational prospective study was employed to determine a “normal” or average time spent between referring and receiving services and for delivering particular services from entry to exit for clients visiting a health facility for MNCH service (Figure 1). Client flow procedure across different health facilities and multiple phases of referral system, 2019. The data were collected using Interviewer administered questionnaire and observation checklist by trained midwives and nurses. Data collectors and observers were assigned at all randomly selected health facilities. After the referred clients/patients entered to the compound of the referral receiving health facilities, the data were collected using 3 approaches. In the first stage, clients/patients referred and presented at the current health facility during study period were observed starting from their entry to the compound. Once clients enter into the health facility, the time spent at each encounter such as card room/registration, triage, counseling/contact with health care providers, laboratory, and pharmacy to their exit or end output like admission/discharge/or referred to the next higher health facilities were recorded. Nonparticipatory observational approach was used. In the second approach, client exit interviews on the same individual were done through a questionnaire prepared by the researchers focusing on the objective of the study. The collected data were entered and cleaned in excel sheet and exported to SPSS version 21.0 for analysis. Binary and multivariable logistic analyses were respectively used to identify candidate variables and see the independent predictors of average time spent in the utilization of MNCH service considering P value less than .05, 95% confidence interval (CI), and adjusted odds ratio (AOR), and the results were presented using narrative texts, tables, and figures. In this particular study: Referral time is defined as the time elapsed between once the referral was decided, and until the patient reaches the receiving facility or time elapsed between referring the patient from one health facility to another, and section waiting time is the time the client spends at specific service delivery point within the health facility waiting to receive care or services. Total waiting time is the sum of all the section waiting times. Waiting time is the time that patients spend waiting to receive service and it was measured as total waiting time and section waiting time. Referral time: It is the time elapsed between once the referral was decided, and until the patient reaches the referral or time elapsed between referring the patient from one health facility to another. Section waiting time: The time the client spends at a specific service delivery point within the health facility waiting to receive care or services. Total waiting time: This is the sum of all the section waiting times. Waiting time: This is the time that patients spend waiting to receive a service. This was measured as total waiting time and section waiting time.

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

1. Telemedicine: Implementing telemedicine services can help reduce the time spent in the referral process by allowing healthcare providers to remotely assess and provide guidance to pregnant women. This can be particularly beneficial in low-income countries with limited access to healthcare facilities.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information and resources related to maternal health can empower women to make informed decisions and seek appropriate care. These apps can also include features such as appointment scheduling and reminders to help streamline the referral process.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services and facilitate referrals can help bridge the gap between communities and healthcare facilities. These workers can also educate women on the importance of early referrals and assist in arranging transportation to the receiving health facility.

4. Improving transportation infrastructure: Enhancing transportation infrastructure, such as roads and public transportation systems, can significantly reduce the travel time between referring and receiving health facilities. This can ensure that pregnant women can access timely and appropriate care when referrals are made.

5. Strengthening referral networks: Establishing strong referral networks between different levels of healthcare facilities can improve coordination and communication, leading to faster and more efficient referrals. This can involve implementing standardized referral protocols, training healthcare providers on referral processes, and establishing feedback mechanisms to monitor the referral system’s effectiveness.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and challenges faced in Jimma Zone, Ethiopia.
AI Innovations Description
Based on the study titled “Average Time Spent in Referral Process and its Determinants Among Clients of Maternal and Child Health Service in 2 Districts of Jimma Zone, Ethiopia,” the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthening Referral Systems: Develop a digital referral system that allows for seamless communication and coordination between health facilities. This system can provide real-time updates on patient referrals, reducing delays and improving the efficiency of the referral process.

2. Mobile Health (mHealth) Interventions: Implement mobile health interventions such as SMS reminders and alerts to improve communication between healthcare providers and patients. These interventions can help ensure that patients receive timely and appropriate referrals, reducing the time spent in the referral process.

3. Community Health Workers: Train and deploy community health workers to provide basic maternal health services and facilitate referrals. These workers can play a crucial role in identifying high-risk pregnancies, providing education and support, and ensuring timely referrals to appropriate healthcare facilities.

4. Transportation Solutions: Address transportation barriers by implementing innovative transportation solutions such as ambulance services, community transport systems, or partnerships with ride-sharing companies. This can help reduce the time spent traveling to health facilities, particularly in remote areas.

5. Telemedicine: Introduce telemedicine services to enable remote consultations and follow-ups for pregnant women. This can reduce the need for unnecessary travel and provide access to specialized care, improving overall maternal health outcomes.

6. Health Education and Awareness: Develop targeted health education campaigns to raise awareness about the importance of early and appropriate referrals for maternal health. This can empower women to seek timely care and ensure they understand the referral process.

7. Infrastructure Development: Invest in improving the infrastructure of health facilities, particularly in rural areas, to ensure they have the necessary resources and equipment to provide quality maternal health services. This can help reduce the time spent waiting for services and improve the overall patient experience.

By implementing these recommendations, access to maternal health can be improved, reducing the time spent in the referral process and ultimately improving maternal health outcomes.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Telemedicine: Implementing telemedicine services can allow pregnant women to consult with healthcare providers remotely, reducing the need for travel and wait times.

2. Mobile clinics: Establishing mobile clinics that travel to remote areas can bring maternal health services closer to women in underserved communities, reducing the distance and time required to access care.

3. Community health workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and pregnant women, providing education, support, and basic healthcare services in their own communities.

4. Transportation support: Providing transportation support, such as vouchers for public transportation or arranging for ambulances, can help pregnant women reach healthcare facilities more quickly and safely.

5. Health information systems: Implementing robust health information systems can improve coordination and communication between healthcare facilities, ensuring smooth referrals and reducing delays in accessing maternal health services.

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

1. Define the indicators: Identify key indicators that measure access to maternal health, such as average time spent in the referral process, distance traveled, waiting times, and utilization rates of maternal health services.

2. Collect baseline data: Gather data on the current state of access to maternal health services, including the identified indicators, in the study area.

3. Develop a simulation model: Create a simulation model that incorporates the potential recommendations and their expected impact on the identified indicators. This model should consider factors such as population demographics, healthcare infrastructure, and resource availability.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the impact of each recommendation on the indicators of access to maternal health. Adjust the parameters of the recommendations as needed to find the most effective combination.

5. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. Compare the outcomes of different scenarios to identify the most effective strategies.

6. Refine and validate the model: Refine the simulation model based on the analysis of the results and validate it using real-world data. This will ensure that the model accurately represents the dynamics of access to maternal health in the study area.

7. Make recommendations: Based on the simulation results, make recommendations for implementing the most effective strategies to improve access to maternal health. Consider factors such as feasibility, cost-effectiveness, and sustainability.

By following this methodology, policymakers and healthcare providers can make informed decisions on implementing innovations to improve access to maternal health.

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