Diagnosis and management of surgical disease at Ethiopian health centres: cross-sectional survey of resources and barriers to care

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Study Justification:
– The study aimed to characterize the resources and challenges for surgical care and referrals at health centers in South Wollo Zone, Ethiopia.
– Surgical diseases are a major source of mortality in Ethiopia, and non-communicable diseases are now the leading causes of death.
– The study aimed to identify the specific barriers that prevent patients from receiving surgical care and to determine the impact of delays on patient outcomes.
Study Highlights:
– Eight health centers in South Wollo Zone, Ethiopia were surveyed.
– The health centers had an average of 18 providers each, mostly nurses and health officers.
– The health centers faced challenges due to lack of material resources, including intermittent availability of clean water and essential surgical supplies.
– None of the health centers had any form of imaging.
– A total of 168 surgical patients were seen at the health centers, with 58% referred for surgery.
– The most common diagnoses were trauma/burns and the need for caesarean section.
– Patients reported specific barriers to obtaining care, including lack of decision-making power, lack of family/social support, and inability to afford hospital fees.
Recommendations for Lay Reader and Policy Maker:
– Improve material resources at health centers to ensure consistent availability of clean water, surgical supplies, and imaging equipment.
– Address the specific barriers reported by patients, such as lack of decision-making power, by implementing strategies to involve patients in the decision-making process.
– Increase access to affordable surgical care by exploring options for financial assistance or insurance coverage for surgical procedures.
– Conduct further studies to assess the impact of delays in surgical care on patient outcomes.
Key Role Players:
– Ministry of Health: Responsible for policy-making and resource allocation.
– Health Center Staff: Nurses, health officers, and other healthcare providers who work at the health centers.
– Referral Hospital Staff: Surgeons, orthopedic surgeons, and obstetricians who provide specialized care at the referral hospital.
– Local Community Leaders: Involved in community engagement and awareness campaigns.
Cost Items for Planning Recommendations:
– Procurement of surgical supplies and equipment.
– Training and capacity building for health center staff.
– Implementation of financial assistance programs for patients.
– Community engagement and awareness campaigns.
– Data collection and analysis for monitoring and evaluation purposes.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is cross-sectional, which limits the ability to establish causality. Additionally, the sample size is small, as only eight health centres were included. To improve the evidence, future studies could consider using a longitudinal design to assess the impact of interventions over time. Additionally, increasing the sample size and including a more diverse range of health centres would enhance the generalizability of the findings. Finally, incorporating qualitative methods, such as interviews or focus groups, could provide deeper insights into the barriers to surgical care in Ethiopia.

Objectives The aim of this study was to characterise the resources and challenges for surgical care and referrals at health centres (HCs) in South Wollo Zone, Ethiopia. Setting Eight primary HCs in South Wollo Zone, Ethiopia. Participants Eight health officers and nurses staffing eight HCs completed a survey. Design The study was a survey-based, cross-sectional assessment of HCs in South Wollo Zone, Ethiopia and data were collected over a 30-day period from November 2014 to January 2015. Primary and secondary outcome measures Survey assessed human and material resources, diagnostic capabilities and challenges and patient-reported barriers to care. Results Eight HCs had an average of 18 providers each, the majority of which were nurses (62.2%) and health officers (20.7%). HCs had intermittent availability of clean water, nasogastric tubes, rectal tubes and suturing materials, none of them had any form of imaging. A total of 168 surgical patients were seen at the 8 HCs; 58% were referred for surgery. Most common diagnoses were trauma/burns (42%) and need for caesarean section (9%). Of those who did not receive surgery, 32 patients reported specific barriers to obtaining care (91.4%). The most common specific barriers were patients not being decision makers to have surgery, lack of family/social support and inability to afford hospital fees. Conclusions HCs in South Wollo Zone, Ethiopia are well-staffed with nurses and health officers, however they face a number of diagnostic and treatment challenges due to lack of material resources. Many patients requiring surgery receive initial diagnosis and care at HCs; sociocultural and financial factors commonly prohibit these patients from receiving surgery. Further study is needed to determine how such delays may impact patient outcomes. Improving material resources at HCs and exploring community and family perceptions of surgery may enable more streamlined access to surgical care and prevent delays.

Ethiopia is a low-income country in Eastern Sub-Saharan Africa with a rapidly growing population. With a population of 102 million in 2016, life expectancy was estimated as 65.5 years.17 Maternal mortality is moderate at 353/100 000 live births, and under age 5 mortality rate is rapidly falling, estimated as 61/100 000 in 2015. Surgical diseases, however, are now a major source of mortality, with non-communicable diseases, particularly cardiovascular disease, malignant neoplasms and digestive diseases, now making up a majority of causes of death. It was reported that only 55% of healthcare facilities could provide basic obstetric care and 52% could provide basic surgical care in 2015. The ratio of healthcare providers and facilities per population is among the lowest in the world, with 149 total hospitals in country, 1343 HCs and 3305 health posts in 2008. This study was conducted in the Amhara region, which, at last regional census, was estimated to have 17.2 million inhabitants in 2007 with 7406 total healthcare providers, 2152 physicians (2.7/100 000 population). In the most recent available provider densities in 2007, an estimated 140 surgeons were practicing in the country, with estimates for 820 by 2015.17 Dessie Referral Hospital is the only referral hospital in South Wollo Zone within the Amhara Region (figure 1) and serves an estimated catchment area of 7 million, with general surgeons, orthopaedic surgeons and obstetricians on staff. While intensive/critical care is limited, and subspecialties such as oncological care are not available, all Bellwether procedures can be performed at this hospital. Amhara region and South Wollo zone map with study site locations. This study was a cross-sectional survey of eight woreda (district) level HCs in the South Wollo Zone of Ethiopia. Survey was designed by the study personnel using review of prior similar studies on barriers to accessing surgery and HC assessment tools.10 18–21 Surveys were distributed to all HCs in the South Wollo Zone for completion. The survey was reviewed by local colleagues at the main study site at Dessie Referral Hospital in South Wollo Zone and feedback incorporated into the final tool. The survey tool was piloted with one HC in Dessie town with a surgeon and HC nurse and all questions were determined to be understandable and possible to answer by the local study personnel. Although Dessie Hospital is considered a ‘referral hospital’ by the Ethiopian healthcare network, according to international standards it meets criteria as a primary hospital, with inpatient and general surgical services available, but lacking subspecialty or intensive care unit services.22 Patients and the public were not involved in the study design or survey tool design; however, local healthcare providers gave input on survey questions during study design. Findings from this study will be made available at the referral hospital for public viewing and dissemination. Surveys were distributed at a regional health bureau meeting. Study participants who completed the survey were nurses or health officers (diploma nurses with additional training) employed at the respective HCs. Orientation and training on survey completion were provided by an Ethiopian nurse who was engaged in the project. This trainer and the principal investigator (PI) were available to answer questions for participants throughout the study period by phone regarding survey completion. The survey was distributed to HC nurses or health officers at all 21 woredas in South Wollo. Participation was voluntary and participants received a small monetary compensation when the survey was returned at the end of the study period. Study participants completed survey questions regarding HC staffing, diagnostic and treatment resources available at their HC, as well as provider comfort level making common surgical diagnoses in their setting. They also recorded data on all patients presenting to their respective HCs with surgical diagnoses as stipulated by the study definitions over a 30-day period. Information about these patients including age, gender, diagnosis, whether or not a referral was made at the clinic visit and barriers expressed or perceived prevented patients from receiving surgical care were recorded. Participants collected patient data over a 30-day period between November 2014 and January 2015; HCs varied in the specific dates of their data collection. Surveys were returned to the study PI in person or via post and compensation was provided on return of completed survey. All participating HCs were in a geographical network making surgical referrals to a single referral hospital in Dessie, Ethiopia. In an effort to avoid selection bias, surveys were distributed to all HCs in the Zone and orientation to the survey was conducted with staff from all HCs. Study population included all HCs in South Wollo Zone which were expected to make referrals to a single hospital in the Zonal capital. Quantitative data such as HC catchment population, staffing, patient age and referral status were analysed with frequencies and SD. Descriptive statistics were used for all variables and no multivariate analysis or associations were calculated. Data were returned via paper forms and entered into RedCap by study personnel. Data were extracted to Microsoft Excel and kept confidential on encrypted computer by study personnel. Descriptive statistics were used to analyse HC providers, resources, diagnostic challenges, patient diagnoses and barriers to care. Data analysis was conducted using Excel and Stata/SE V. 15.1.

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

1. Telemedicine: Implementing telemedicine technology can connect healthcare providers in remote areas with specialists in urban centers, allowing for remote consultations and diagnosis of maternal health conditions. This can help overcome the lack of diagnostic capabilities mentioned in the study.

2. Mobile clinics: Setting up mobile clinics that travel to rural areas can provide essential maternal health services, including prenatal care, vaccinations, and basic surgical procedures. This can help reach populations that have limited access to healthcare facilities.

3. Training and capacity building: Investing in training programs for healthcare providers, particularly in rural areas, can improve their skills and knowledge in diagnosing and managing maternal health conditions. This can help address the challenges mentioned in the study related to provider comfort level in making surgical diagnoses.

4. Community education and awareness: Conducting community education programs to raise awareness about the importance of maternal health and the available services can help overcome sociocultural barriers that prevent patients from seeking surgical care. This can involve engaging community leaders, conducting workshops, and using local media channels to disseminate information.

5. Financial support: Implementing financial assistance programs or health insurance schemes specifically for maternal health can help alleviate the financial burden that prevents patients from accessing surgical care. This can include subsidies for hospital fees or transportation costs.

It is important to note that these recommendations are based on the information provided and may need to be further assessed and tailored to the specific context and needs of Ethiopia.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Improve material resources at health centers (HCs): The study highlights the lack of material resources at HCs in South Wollo Zone, Ethiopia. To address this, it is recommended to invest in improving the availability of essential medical supplies and equipment, such as clean water, nasogastric tubes, rectal tubes, suturing materials, and imaging equipment. This will ensure that HCs have the necessary resources to provide quality maternal health care.

2. Strengthen diagnostic capabilities at HCs: The study reveals that none of the HCs had any form of imaging, which can hinder accurate diagnosis and management of maternal health conditions. To address this, it is recommended to equip HCs with basic diagnostic tools, such as ultrasound machines, to improve the ability to diagnose and manage maternal health conditions effectively.

3. Address sociocultural and financial barriers: The study identifies sociocultural and financial factors as common barriers preventing patients from receiving surgery. To overcome these barriers, it is recommended to implement community and family engagement programs to raise awareness about the importance of maternal health and surgery. Additionally, exploring options for financial support, such as health insurance or subsidies, can help make surgical care more affordable and accessible for women in need.

4. Strengthen referral systems: The study reports that a significant number of patients requiring surgery were referred from HCs to a referral hospital. To ensure timely access to maternal health care, it is recommended to strengthen the referral systems between HCs and higher-level facilities. This can be achieved through improved communication channels, training of healthcare providers on referral protocols, and establishing clear guidelines for when and how to refer patients.

By implementing these recommendations, it is expected that access to maternal health care will be improved, leading to better outcomes for women and reducing maternal mortality rates in Ethiopia.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health in Ethiopia:

1. Strengthening healthcare infrastructure: Increase the number of healthcare facilities, particularly those that can provide basic obstetric and surgical care. This can be achieved by building new facilities or upgrading existing ones.

2. Improving availability of resources: Ensure that healthcare facilities have adequate and consistent access to essential resources such as clean water, medical supplies, diagnostic equipment, and surgical instruments.

3. Enhancing healthcare workforce: Increase the number of healthcare providers, especially physicians, surgeons, and obstetricians, to meet the growing demand for maternal health services. This can be done through training programs, incentives for healthcare professionals to work in rural areas, and recruitment of international medical volunteers.

4. Strengthening referral systems: Develop efficient referral systems between primary healthcare centers and referral hospitals to ensure timely access to specialized care for pregnant women with complications.

5. Addressing sociocultural and financial barriers: Conduct community outreach programs to raise awareness about the importance of maternal health and address cultural beliefs and practices that may hinder access to care. Implement financial assistance programs or health insurance schemes to reduce the financial burden of maternal healthcare services.

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

1. Baseline data collection: Gather data on the current state of maternal health access, including the number of healthcare facilities, availability of resources, healthcare workforce, referral systems, and sociocultural and financial barriers.

2. Define indicators: Identify key indicators to measure the impact of the recommendations, such as the number of healthcare facilities providing basic obstetric and surgical care, availability of essential resources, healthcare workforce density, referral rates, and reduction in sociocultural and financial barriers.

3. Modeling and simulation: Use modeling techniques, such as mathematical models or simulation software, to simulate the impact of the recommendations on the identified indicators. This can involve creating scenarios with different levels of implementation and analyzing the potential outcomes.

4. Data analysis: Analyze the simulated data to assess the potential impact of the recommendations on improving access to maternal health. This can include comparing the baseline data with the simulated data to determine the extent of improvement.

5. Interpretation and recommendations: Interpret the results of the simulation analysis and provide recommendations based on the findings. This can involve identifying the most effective recommendations and prioritizing their implementation based on the potential impact.

6. Monitoring and evaluation: Continuously monitor and evaluate the implementation of the recommendations to assess their actual impact on improving access to maternal health. This can involve collecting data on the indicators identified in step 2 and comparing them with the simulated data to measure progress.

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