Surgical patients travel longer distances than non-surgical patients to receive care at a rural hospital in mozambique

listen audio

Study Justification:
This study aimed to investigate the distances traveled by surgical patients compared to non-surgical patients at a rural hospital in Mozambique. The justification for this study is to address the gaps in knowledge related to access to surgical care in low-income countries. By comparing the distances traveled, the study provides insights into the challenges faced by surgical patients in accessing healthcare services.
Highlights:
– The study included data from 500 patients at Hospital Rural de Chókwè in rural Mozambique.
– Almost half of the patients lived in the city where the hospital is located.
– Surgical patients traveled longer distances compared to patients seeking other medical services.
– The average distance traveled by surgical patients was 42 km, while patients on other wards traveled an average of 17 km.
– The study highlights the dependence of surgical patients on first-level hospitals for their healthcare needs.
Recommendations:
Based on the findings of the study, the following recommendations can be made:
1. Improve access to surgical care in rural areas: Efforts should be made to ensure that surgical services are more readily available to patients living in rural areas, reducing the need for long-distance travel.
2. Strengthen community clinics: Enhancing the capabilities of community clinics can provide alternative options for non-surgical patients, reducing the burden on first-level hospitals.
3. Increase the number of qualified health workers: Addressing the shortage of qualified health workers, including physicians and nurses, is crucial to improving access to healthcare services in Mozambique.
4. Enhance transportation infrastructure: Improving road networks and transportation facilities can facilitate easier access to healthcare facilities for patients, particularly those requiring surgical care.
Key Role Players:
1. Ministry of Health: Responsible for developing and implementing policies to improve healthcare access and infrastructure.
2. Hospital administrators: Involved in planning and implementing strategies to address the recommendations.
3. Non-physician surgeons (técnicos de cirurgia): Key healthcare providers responsible for delivering surgical care at first-level hospitals.
4. Community clinic staff: Involved in providing healthcare services to non-surgical patients and supporting the overall healthcare system.
Cost Items for Planning Recommendations:
1. Infrastructure development: Budget for improving transportation infrastructure, including road networks and public transportation facilities.
2. Training and recruitment: Funds required for training and recruiting qualified health workers, including physicians and nurses.
3. Equipment and supplies: Budget for procuring medical equipment, supplies, and resources necessary for surgical care and community clinics.
4. Capacity building: Allocation of funds for training programs to enhance the skills and capabilities of healthcare providers, including non-physician surgeons and community clinic staff.
5. Monitoring and evaluation: Budget for establishing systems to monitor and evaluate the impact of the recommendations and make necessary adjustments.
Please note that the provided cost items are general categories and not actual cost estimates.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study collected data on all inpatients at a rural hospital in Mozambique and compared the distances traveled by surgical patients with patients seeking other medical services. The results showed that surgical patients traveled longer distances than non-surgical patients. The study used ArcGIS and STATA for data analysis and included a sample size of 500 patients. However, the abstract does not provide information on the methodology used to collect the data or the specific statistical tests performed. To improve the strength of the evidence, the abstract should include more details on the study design, data collection methods, and statistical analysis. Additionally, it would be helpful to include information on the limitations of the study and potential sources of bias.

Background: Surgical care is increasingly recognised as an important component of global health delivery. However, there are still major gaps in knowledge related to access to surgical care in low-income countries. In this study, we compare distances travelled by surgical patients with patients seeking other medical services at a first-level hospital in rural Mozambique. Methods: Data were collected on all inpatients at Hospital Rural de Chókwè in rural Mozambique between 20 June 2012 and 3 August 2012. Euclidean distances travelled by surgical versus non-surgical patients using coordinates of each patient’s city of residence were compared. Data were analysed using ArcGIS 10 and STATA. Results: In total, 500 patients were included. Almost one-half (47.6%) lived in the city where the hospital is based. By hospital ward, the majority (62.0%) of maternity patients came from within the hospital’s city compared with only 35.2% of surgical patients. The average distance travelled was longest for surgical patients (42 km) compared with an average of 17 km for patients on all other wards. Conclusions: Patients seeking surgical care at this first-level hospital travel farther than patients seeking other services. While other patients may have access to at community clinics, surgical patients depend more heavily on the services available at first-level hospitals.

Data for this study were collected from the Hospital Rural de Chókwè (HRC) in the district of Chókwè in Mozambique. Mozambique is a country of approximately 25 million people located in southeastern Africa.15 The average life expectancy in 2012 was 49.9 years and over one-half (52%) of its population is <18 years old.15 The 2010 adjusted maternal mortality ratio was 490 deaths per 100 000 live births, slightly lower than the average for sub-Saharan Africa (500 deaths/100 000 live births), but much higher than the worldwide average of 210 deaths/100 000 live births.15 A little over one-half of women have institutional deliveries (55%) and the Caesarean section rate is <4%.15 HIV is a significant public health problem, with an estimated prevalence at 11.1% in 2012.15 In 2012, Mozambique ranked 185 out of 186 countries on the Human Development Index, a measurement that considers health, education and income.16 Despite economic growth in recent years, 60% of the population still lives below the international poverty line of US $1.25 per day.15 The majority of the population (67%) lives in rural areas.15 Less than one-half of the population (47%) have access to an improved water source, and only 19% have access to an improved sanitation facility.15 Access to healthcare is limited by a lack of qualified health workers, with only 1268 physicians in the National Health System of Mozambique in 2011.17 Including both physicians and nurses, there were 64.5 healthcare workers per 100 000 population in 2011, far below the minimum acceptable health worker density threshold of 230/100 000.17 Chókwè district is a predominantly rural, agricultural area. The city of Chókwè, which is the administrative capital of Chókwè District, is located 90 km west of the Gaza Province capital city of Xai-Xai and 230 km northwest of Maputo, Mozambique's capital. HRC serves a catchment area of approximately 200 000 people, of whom approximately 53 000 live in the city of Chókwè. The hospital is divided into four wards: medicine (26 beds); paediatrics (26 beds); maternity (38 beds); and surgery (28 beds). HRC also provides services in emergency care, radiology, physical therapy, dentistry, ophthalmology, orthopaedics and psychiatry. Resources include a laboratory, X-ray machine and pharmacy. Patients requiring a higher level of care are transferred to tertiary hospitals in the provincial capital of Xai-Xai or in the country capital of Maputo. HRC employs two non-physician surgeons, ‘técnicos de cirurgia’ (technicians of surgery), who are the only clinicians providing surgery at HRC. Técnicos de cirurgia are mid-level providers who have completed 3 additional years of surgical training and serve as the primary surgical workforce in rural Mozambique.18 Data were collected from all inpatients at HRC during the 6-week period between 20 June and 3 August 2012. Data included date of admission and discharge, age, sex, city of residence, hospital ward (medicine, paediatrics, maternity or surgery) and diagnosis. Patients who were admitted to the maternity ward but underwent surgery (Caesarean section, hysterectomy, etc.) were included as surgical patients. Global positioning system coordinates of cities of residence were found to calculate the Euclidean distance from each patient's city or village to HRC. The Euclidean distance is measured according to the straight line between two points. This was used to maintain consistency since road maps were not always accurate and patients may take paths off marked roads. Using population data from the August 2007 Mozambique census (the most recent population data available), the proportion of patients from each city was calculated to estimate the percent of the population that was admitted to the hospital. These proportions were compared between wards. Six patients came from cities in which the population was not known; these patients were grouped with nearby cities and included in the analysis. Age, sex, distance travelled and length of stay (LOS) by ward, and between surgical versus non-surgical patients, were compared. Proportions were compared using χ2 tests while continuous variables were compared using t tests. A p-value of <0.05 was defined as statistically significant. Data were analysed using ArcGIS 10 (Esri, Redlands, CA, USA) and STATA 64-bit Special Edition v.11.2 (StataCorp LP, College Station, TX, USA). Institutional Review Boards at University of California, San Diego and the National Bioethics Committee of Mozambique approved this project.

N/A

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

1. Telemedicine: Implementing telemedicine services can connect healthcare providers in rural areas with specialists in urban areas. This would allow pregnant women in rural areas to receive expert advice and consultations without having to travel long distances.

2. Mobile clinics: Setting up mobile clinics that travel to remote villages can provide essential prenatal care and maternal health services to women who are unable to travel to a hospital. These clinics can offer prenatal check-ups, vaccinations, and education on maternal health.

3. Community health workers: Training and deploying community health workers who are knowledgeable about maternal health can help bridge the gap between healthcare facilities and remote communities. These workers can provide basic prenatal care, educate women on healthy practices during pregnancy, and identify high-risk pregnancies that require referral to a hospital.

4. Improving transportation infrastructure: Investing in better roads and transportation systems can reduce the travel time and distance for pregnant women seeking healthcare. This would make it easier for women to access hospitals and clinics for prenatal care and delivery.

5. Mobile applications: Developing mobile applications that provide information on prenatal care, nutrition, and common pregnancy complications can empower women to take better care of their health during pregnancy. These apps can also provide reminders for prenatal appointments and medication schedules.

6. Training more healthcare workers: Increasing the number of qualified healthcare workers, including doctors, nurses, and midwives, in rural areas can ensure that there are enough skilled professionals to provide maternal health services. This would reduce the burden on existing healthcare facilities and improve access to care for pregnant women.

It’s important to note that the implementation of these innovations would require collaboration between government agencies, non-profit organizations, and local communities to ensure their effectiveness and sustainability.
AI Innovations Description
Based on the information provided, a recommendation to improve access to maternal health in rural Mozambique could be to establish mobile clinics or outreach programs that provide maternal health services to communities located far from the Hospital Rural de Chókwè. These clinics or programs could be staffed by qualified health workers, including midwives and nurses, who can provide prenatal care, delivery assistance, and postnatal care to pregnant women in these remote areas.

By bringing maternal health services closer to the communities, pregnant women would not have to travel long distances to access the hospital for their maternity care. This would reduce the burden on surgical patients who currently have to travel longer distances to receive care at the hospital.

Additionally, these mobile clinics or outreach programs could also provide education and awareness campaigns on maternal health, family planning, and hygiene practices to further improve the overall health and well-being of the communities.

It is important to ensure that these mobile clinics or outreach programs are well-equipped with necessary medical supplies and equipment, and that they have a reliable means of transportation to reach the remote areas. Collaboration with local community leaders and organizations would also be beneficial in identifying the specific needs and challenges of each community and tailoring the services accordingly.

Regular monitoring and evaluation of the effectiveness and impact of these mobile clinics or outreach programs would be essential to ensure continuous improvement and sustainability.
AI Innovations Methodology
To improve access to maternal health in rural Mozambique, here are some potential recommendations:

1. Mobile Clinics: Implementing mobile clinics that travel to remote areas can bring maternal health services closer to the population. These clinics can provide prenatal care, vaccinations, and education on maternal health.

2. Telemedicine: Using telemedicine technology, healthcare professionals can remotely provide consultations and guidance to pregnant women in rural areas. This can help address the shortage of qualified health workers and provide timely advice to expectant mothers.

3. Community Health Workers: Training and deploying community health workers who have basic knowledge of maternal health can help bridge the gap between healthcare facilities and remote communities. These workers can provide basic prenatal care, health education, and referrals to appropriate healthcare facilities.

4. Maternal Waiting Homes: Establishing maternal waiting homes near healthcare facilities can provide a safe and comfortable place for pregnant women to stay as they approach their due dates. This can reduce the distance and time required to reach a healthcare facility during labor and delivery.

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 population group that will benefit from the recommendations, such as pregnant women in rural areas of Mozambique.

2. Collect baseline data: Gather data on the current access to maternal health services, including the distance traveled by pregnant women to reach healthcare facilities, the number of healthcare workers available, and the availability of essential resources.

3. Model the impact of each recommendation: Use modeling techniques to estimate the potential impact of each recommendation on improving access to maternal health. This can involve analyzing factors such as the number of mobile clinics needed, the coverage area of telemedicine services, the number of community health workers required, and the capacity of maternal waiting homes.

4. Simulate scenarios: Run simulations to compare different scenarios, such as the number of mobile clinics deployed, the level of telemedicine coverage, or the distribution of community health workers. Evaluate the impact of each scenario on reducing the distance traveled by pregnant women and increasing access to maternal health services.

5. Analyze results: Analyze the simulation results to determine the most effective combination of recommendations that would have the greatest impact on improving access to maternal health. Consider factors such as cost-effectiveness, scalability, and sustainability.

6. Implement and monitor: Based on the simulation results, implement the recommended interventions and closely monitor their impact on access to maternal health. Continuously evaluate and adjust the interventions as needed to ensure their effectiveness.

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

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email