Evaluating the level of adherence to Ministry of Health guidelines in the management of severe acute malnutrition at Garissa Provincial General Hospital, Garissa, Kenya

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Study Justification:
– Half of Kenya’s high infant and under five mortality rates are due to malnutrition.
– Proper implementation of World Health Organization’s (WHO) Evidence Based Guidelines (EBG) in the management of severe acute malnutrition can reduce mortality rates to less than 5%.
Study Highlights:
– The study aimed to establish the level of adherence to WHO guidelines and the proportion of children appropriately managed for severe acute malnutrition.
– The study was conducted at Garissa Provincial General Hospital (GPGH) over a four-month period.
– The study included the pediatric ward, the Maternal and Child Health Clinic, and the Outpatient department.
– The sample size was calculated using the Fisher’s formula.
– The study population consisted of 96 children aged 6-59 months who were admitted to the hospital with severe acute malnutrition.
– Medical records were reviewed to determine the proportion of children appropriately managed for the first 8 steps of the WHO guideline.
– A self-administered questionnaire was used to collect additional information from health workers.
Study Recommendations:
– Increase adherence to WHO guidelines for the management of severe acute malnutrition.
– Improve awareness and accessibility of WHO guidelines among health workers.
– Provide training on the management of malnourished children.
– Ensure availability of essential supplies for the management of severe acute malnutrition.
Key Role Players:
– Ministry of Health
– Garissa Provincial General Hospital
– Health workers
– Research team
Cost Items for Planning Recommendations:
– Training materials and resources
– Essential supplies for the management of severe acute malnutrition
– Data collection tools and equipment
– Research team salaries and allowances
– Travel and accommodation expenses for the research team
– Data analysis software and resources
– Dissemination of study findings (publication, conferences, etc.)

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides a clear description of the study design, sample size calculation, data collection methods, and statistical analysis. However, it lacks information on the specific results and findings of the study. To improve the evidence, the abstract should include a summary of the main findings and their implications. Additionally, it would be helpful to mention any limitations of the study and suggestions for future research.

INTRODUCTION: Half of Kenya’s high infant and under five mortality rates is due to malnutrition. Proper implementation of World Health Organization’s (WHO) Evidence Based Guidelines (EBG) in management of severe acute malnutrition can reduce mortality rates to less than 5%. The objectives were to establish the level of adherence to WHO guideline and the proportion of children appropriately managed for severe acute malnutrition (steps 1-8) as per the WHO protocol in the management of severe acute malnutrition. This was a short longitudinal study of 96 children, aged 6-59 months admitted to the pediatric ward with diagnosis of severe acute malnutrition.

The design was a short longitudinal study at Garissa Provincial General Hospital (GPGH) over a four month period (July to October 2012). The study sites included the pediatric ward (PW), the Maternal and Child Health Clinic (MCH) and the Outpatient department (OPD). Garissa PGH is a regional referral hospital for North Eastern Kenya (population of 2.23 million) and three other neighboring districts. It also serves a further 400,000 refugees from the refugee camps in Daadab. It is a 250 bed-capacity hospital with 297 technical and non-technical staff. Sample size was calculated using the Fisher’s formula, n = {t2 x p(1-p)}/m2, Where n = minimum sample size required, t = confidence level at 95% (standard value of 1.96), p = estimated prevalence of malnutrition in the project area (50% (0.5)) and m= margin of error at 10% (0.01), Our study population of 96 children aged 6-59 months whose guardians gave informed written consent were purposively sampled. Children with chronic conditions (cerebral palsy, cardiac disease and renal disease) that predispose them to severe malnutrition were excluded. Based on the information obtained from the medical records, the management for all children aged 6-59 months who were admitted from OPD and MCH and admitted to PW for severe malnutrition was reviewed using an audit tool so as to determine the proportion of children appropriately managed for the 1st 8 steps of the WHO guideline for the management of severe acute malnutrition. A self-administered questionnaire was also used to collect additional information from health workers on their awareness on availability and accessibility of WHO guidelines, trainings on management of malnourished children and inventory of essential supplies. The principle investigator (OW) with two research assistants visited the MCH, OPD and Pediatric Ward daily from7am to 10pm and purposively recruited eligible patients. Data extracted from medical file of patients was recorded into an audit tool to compare care provided with guideline recommendation for 1st 8 steps. A self-administered questionnaire was also used to collect additional information from health workers on their awareness on availability and accessibility of WHO guidelines, trainings on management of malnourished children and inventory of essential supplies. The researcher and the assistants audited purposively selected medical records/files for all admitted patients with severe malnutrition using a prepared audit tool. The records extracted included the following:-the clinician’s admission notes (to check if there was documentation of the following : Anthropometry measurements (weights and lengths (or height if aged 2 years or older) and weight/height ratio or Z-score and was compared with the median National Center for Health Statistics (NCHS) reference population), presence or absence of edema and wasting, correct classification of malnutrition, presence or absence of diarrhea/ dehydration/shock, conscious level, the treatment sheets(correct choice/dosages of antibiotics, micronutrients, electrolytes, correct choice/volume/route of administration of F75 and F100, and also check if “keep warm” was prescribed), observation charts & nursing cardex ( if temperature was monitored 6-hourly, correct monitoring of fluids and feeds), the laboratory request forms (results of random blood sugar, hemoglobin level and blood slide for malaria). The audit was conducted to check if the 1st 8 steps were correctly applied or not. Data were cross checked for completeness and accuracy before entering into the computer using Microsoft Access. It was analyzed using Stata Version 11. Categorical variables were summarized using proportions and measures of central tendencies (means, medians) and dispersions (standard deviations) used for continuous variables. The outcome was calculated as the percentage of children managed according to the guideline recommendations. The outcome was compared with other categorical variables using the chi square test. Appropriate correlation was applied to the chi square using the Yates or Fishers exact tests when expected cell counts were less than five. T-tests were used to compare means for continuous variables.

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Based on the provided information, it seems that the study is focused on evaluating the level of adherence to Ministry of Health guidelines in the management of severe acute malnutrition at Garissa Provincial General Hospital in Kenya. The study aims to determine the proportion of children appropriately managed for severe acute malnutrition according to the World Health Organization’s (WHO) protocol.

To improve access to maternal health, some potential innovations or recommendations could include:

1. Telemedicine: Implementing telemedicine services to provide remote consultations and support for healthcare providers in managing severe acute malnutrition. This can help overcome geographical barriers and improve access to specialized care.

2. Mobile health (mHealth) applications: Developing mobile applications that provide guidance and support for healthcare providers in managing severe acute malnutrition. These apps can include educational resources, treatment protocols, and tools for monitoring and tracking patients’ progress.

3. Training and capacity building: Conducting regular training sessions and workshops for healthcare providers to enhance their knowledge and skills in managing severe acute malnutrition. This can ensure that healthcare providers are up-to-date with the latest guidelines and best practices.

4. Community-based interventions: Implementing community-based programs that focus on early detection and prevention of severe acute malnutrition. This can involve training community health workers to identify and refer cases, as well as providing education and support to caregivers.

5. Supply chain management: Improving the availability and accessibility of essential supplies and medications for managing severe acute malnutrition. This can involve strengthening the supply chain system to ensure timely delivery and distribution of necessary resources.

6. Collaboration and partnerships: Establishing collaborations and partnerships with local and international organizations to leverage resources and expertise in improving access to maternal health. This can involve sharing best practices, conducting joint research, and advocating for policy changes.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and needs of Garissa Provincial General Hospital.
AI Innovations Description
Based on the provided information, the recommendation to improve access to maternal health would be to ensure proper implementation of the World Health Organization’s (WHO) Evidence Based Guidelines (EBG) in the management of severe acute malnutrition. This can be achieved through the following steps:

1. Increase awareness and training: Health workers should be made aware of the availability and accessibility of the WHO guidelines for the management of severe acute malnutrition. Training programs should be conducted to ensure that health workers are knowledgeable and skilled in implementing the guidelines.

2. Improve availability of essential supplies: Adequate inventory of essential supplies, such as antibiotics, micronutrients, electrolytes, and therapeutic foods (F75 and F100), should be maintained to ensure proper management of severe acute malnutrition.

3. Strengthen adherence to guidelines: Regular audits should be conducted to assess the level of adherence to the WHO guidelines. This can be done by reviewing medical records and using audit tools to compare the care provided with the guideline recommendations. Any gaps or deviations from the guidelines should be identified and addressed.

4. Enhance monitoring and evaluation: Monitoring and evaluation systems should be in place to track the progress and outcomes of the implementation of the guidelines. This will help identify areas for improvement and ensure that the guidelines are being effectively implemented.

By implementing these recommendations, access to maternal health can be improved by reducing mortality rates associated with severe acute malnutrition.
AI Innovations Methodology
In order to improve access to maternal health, there are several potential innovations that can be considered. Some recommendations include:

1. Telemedicine: Implementing telemedicine programs can provide remote access to healthcare professionals for prenatal care, consultations, and monitoring. This can be especially beneficial for women in rural or underserved areas who may have limited access to healthcare facilities.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information and resources related to maternal health can help educate and empower women to take control of their own health. These apps can provide information on prenatal care, nutrition, and postpartum care, as well as reminders for appointments and medication.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support in local communities can help bridge the gap between healthcare facilities and women in remote areas.

4. Transportation services: Establishing transportation services specifically for pregnant women can help overcome barriers to accessing healthcare facilities. This can include providing free or subsidized transportation to prenatal appointments, delivery centers, and postpartum care visits.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify key indicators that measure access to maternal health, such as the number of prenatal care visits, percentage of women receiving skilled birth attendance, and postpartum care utilization rates.

2. Collect baseline data: Gather data on the current state of access to maternal health services in the target population. This can include information on the number of healthcare facilities, availability of healthcare professionals, and utilization rates of maternal health services.

3. Develop a simulation model: Create a simulation model that incorporates the potential innovations and their expected impact on the identified indicators. This model should take into account factors such as population size, geographic distribution, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the impact of the recommended innovations on the access indicators. This can involve adjusting variables such as the number of telemedicine consultations, utilization rates of mHealth applications, and the presence of community health workers.

5. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommended innovations on improving access to maternal health. This can include comparing the simulated outcomes with the baseline data and identifying any significant improvements or areas for further optimization.

6. Refine and iterate: Based on the analysis of the simulation results, refine the simulation model and repeat the process to further optimize the recommendations and assess their potential impact on improving access to maternal health.

By following this methodology, stakeholders can gain insights into the potential benefits and challenges of implementing these innovations and make informed decisions on how to improve access to maternal health.

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