Setting up a nurse-led model of care for management of hypertension and diabetes mellitus in a high HIV prevalence context in rural Zimbabwe: A descriptive study

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Study Justification:
– The increasing burden of non-communicable diseases (NCDs) in low- and middle-income countries, particularly in Sub-Saharan Africa, necessitates the development of context-adapted and cost-effective service delivery models.
– This study aims to describe the experience of setting up and organizing a nurse-led model of care for Diabetes Mellitus (DM) and Hypertension (HTN) in rural Zimbabwe, a low-income country with unique socio-economic challenges and a dual disease burden of HIV and NCDs.
Highlights:
– The study implemented a conceptual framework with 9 key enablers, including decentralization of services, integration of care, simplification of management guidelines, mentoring and task-sharing, provision of affordable medicines, quality assured laboratory support, patient empowerment, a dedicated monitoring and evaluation system, and a robust referral system.
– Nurses in primary health care clinics and hospitals developed the necessary knowledge and skills to diagnose, initiate treatment, and monitor DM and HTN patients.
– A total of 3094 patients were registered in the program, with 188 having DM only, 2473 having HTN only, and 433 having both DM and HTN.
– Major lessons learned include the value of point-of-care devices in diabetes management, the pressure on services due to the availability of free medications, and the importance of leadership in successful implementation.
Recommendations:
– The study demonstrates a model for nurse-led decentralized integrated DM and HTN care in a high HIV prevalence rural, low-income context.
– The findings can be used to develop context-adapted efficient models of care for other public health programs.
Key Role Players:
– Nurses: Trained to diagnose, initiate treatment, and monitor DM and HTN patients.
– Primary Health Care Clinics: Provide care for acute or chronic conditions, maternal and child health services, and referrals to higher levels of care.
– Hospitals: Serve as referral centers for more complex cases.
– Ministry of Health: Responsible for overseeing and coordinating the implementation of the nurse-led model of care.
– Mentoring Team: Provides structured teaching sessions and hands-on clinical training to healthcare staff.
– Monitoring and Evaluation Team: Ensures the effectiveness and quality of the program.
Cost Items for Planning Recommendations:
– Training and Mentoring: Budget for the training and mentoring of healthcare staff on the diagnosis, treatment, and monitoring of DM and HTN.
– Medications: Allocate funds for the provision of affordable medications to patients.
– Laboratory Support: Include the cost of quality assured laboratory tests and consumables.
– Monitoring and Evaluation: Set aside a budget for the establishment and maintenance of a dedicated monitoring and evaluation system.
– Referral System: Consider the cost of establishing and maintaining a robust referral system.
– Leadership and Management: Allocate resources for leadership and management activities to ensure successful implementation of the model of care.
Please note that the provided information is based on the description and publication provided.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is descriptive and based on the experience of setting up a nurse-led model of care for diabetes mellitus (DM) and hypertension (HTN) in rural Zimbabwe. The study provides information on the implementation process, outcomes, and lessons learned. However, it lacks quantitative data and does not include a comparison group or statistical analysis. To improve the evidence, the study could include a control group for comparison, collect quantitative data on patient outcomes, and conduct statistical analysis to assess the effectiveness of the nurse-led model of care.

Background: In the light of the increasing burden of non-communicable diseases (NCDs) on health systems in low- and middle-income countries, particularly in Sub-Saharan Africa, context-adapted, cost-effective service delivery models are now required as a matter of urgency. We describe the experience of setting up and organising a nurse-led Diabetes Mellitus (DM) and Hypertension (HTN) model of care in rural Zimbabwe, a low-income country with unique socio-economic challenges and a dual disease burden of HIV and NCDs. Methods: Mirroring the HIV experience, we designed a conceptual framework with 9 key enablers: decentralization of services, integration of care, simplification of management guidelines, mentoring and task-sharing, provision of affordable medicines, quality assured laboratory support, patient empowerment, a dedicated monitoring and evaluation system, and a robust referral system. We selected 9 primary health care clinics (PHC) and two hospitals in Chipinge district and integrated DM and HTN either into the general out-patient department, pre-existing HIV clinics, or an integrated chronic care clinic (ICCC). We provided structured intensive mentoring for staff, using simplified protocols, and disease-specific education for patients. Free medication with differentiated periodic refills and regular monitoring with point of care (POC) glycosylated haemoglobin (HbA1c) were provided. Results: Nurses in 7 PHC facilities and one hospital developed sufficient knowledge and skills to diagnose, initiate treatment and monitor DM and HTN patients, and 3094 patients were registered in the programme (188 with DM only, 2473 with HTN only, 433 with both DM and HTN). Major lessons learned from our experience include: the value of POC devices in the management of diabetes; the pressure on services of the added caseload, exacerbated by the availability of free medications in supported health facilities; and the importance of leadership in the successful implementation of care in health facilities. Conclusion: Our experience demonstrates a model for nurse-led decentralized integrated DM and HTN care in a high HIV prevalence rural, low-income context. Developing a context-adapted efficient model of care is a dynamic process. We present our lessons learned with the intention of sharing experience which may be of value to other public health programme managers.

This is a programmatic description of a model of care for DM and HTN services. The study took place in Chipinge rural district, one of the seven districts of Manicaland in Zimbabwe. The economy is based on subsistence and commercial farming, with low incomes per household [10] . It has a population of over 300,000 [11] served by 51 health facilities. The dirt road network makes some health facilities hard to reach, especially during the rainy season. Chipinge District Hospital (CDH) is the major referral hospital for the North and St Peter’s Mission Hospital (SPMH) for the South. Reliable figures on DM and HTN prevalence in Chipinge district have not been documented. MOH/MSF began activities in July 2016 in 11 health facilities, offering care for patients with DM and HTN. An MSF mentoring team provided structured teaching sessions and hands-on clinical training to MOH staff, who performed consultations. No NCD-specific guidelines were available in Zimbabwe, therefore MOH/MSF developed simplified context-adapted clinical protocols, training materials and patient literacy tools. MSF supported MoH to meet the cost of medications and laboratory consumables. Patients who attended health facilities for DM and HTN care were registered in the programme. Our programme design was based on a conceptual framework (Fig. 1) developed by the authors by drawing from MSF’s experience on HIV care in SSA including Zimbabwe. We were also inspired by various publications describing successful strategies used in delivering HIV care across the entire health pyramid [12–14]. The mid-section of the framework illustrates the health system. Patients within the community can access their PHC facility for acute or chronic care, and maternal and child health services, where they are attended to by qualified nurses. Where the condition requires expertise, patients are referred to secondary or tertiary levels. Once patients are stable, they are then referred back through the various levels down to PHC level. The left-hand column highlights the 9 strategic key-enablers of a successful ART programme while the right-hand column mirrors the same strategies for the NCD programme. Conceptual framework We used automated sphygmomanometers to measure blood pressure (BP) and diagnosed HTN if two out of three readings were ≥ 140/90 mmHg on 3 separate visits (or 2 separate occasions if BP ≥ 180/110 mmHg). Any adult presenting to a health facility in Zimbabwe receives a blood pressure check, and among HIV patients annual screening for HTN is recommended [15]. For DM we adopted a health facility-based opportunistic screening approach according to risk factors such as family history, presence of HTN, HIV, active TB, obesity, CVD or Chronic Kidney Disease (CKD). Diagnosis of DM was based upon a combination of two tests: glycosylated haemoglobin (HbA1c) ≥6.5% and a random blood sugar (RBS) ≥11.1 mmol/L, or a fasting blood sugar (FBS) ≥7 mmol/L. In the presence of severe symptoms of hyperglycaemia, a single high reading of blood glucose confirmed diagnosis (see Table 1). Diagnosis of DM: test combinations required FBS ≥ 7.0 mmol/L OR RBS ≥ 11.1 mmol/L AND symptoms of hyperglycaemia Not applicable No second test required Those with self-reported conditions were rescreened to confirm the diagnosis, if there was insufficient clinical or documentary evidence to support the accuracy of the initial diagnosis. For both conditions, active screening in the community was avoided as this has been shown not to be cost-effective [8, 16], and due to concerns that it might overload health facilities with patients. The treatment initiation threshold for patients with HTN-only was set at BP ≥160/100 mmHg in line with the WHO/ISH risk stratification [17] and standard MSF protocols. For patients with additional risk factors such as diabetes, known CVD or CKD, a lower threshold was chosen (BP ≥140/90 mmHg). The initial treatment target was defined as BP < 140/90 mmHg for patients < 65 years, and BP < 150/90 for patients ≥65 years. Subsequently we simplified protocols, and set a single target of 140/90 for all age-groups. HbA1c targets for diabetes were initially defined as < 8% for < 65 years, and < 9% for ≥65 years. A single target of < 7% for low risk patients independently of age was subsequently chosen within a rationale of simplification. A target of < 8% was set for high risk patients (elderly, history of severe hypoglycaemia, multiple comorbidities, long-standing diabetes, limited life expectancy or advanced chronic diabetic complications).

One potential innovation to improve access to maternal health based on the described study could be the implementation of a nurse-led model of care for maternal health services. This model would involve training and empowering nurses to provide comprehensive prenatal, delivery, and postnatal care to pregnant women in rural areas. By decentralizing maternal health services and integrating them into existing primary health care clinics, this model would improve access to care for pregnant women, particularly those in hard-to-reach areas. Additionally, simplified protocols and guidelines could be developed to ensure consistent and quality care, and regular monitoring and evaluation systems could be put in place to track the effectiveness of the model. This nurse-led model of care could help address the unique socio-economic challenges and dual disease burden of HIV and non-communicable diseases in low-income countries like Zimbabwe.
AI Innovations Description
The recommendation described in the study is to set up a nurse-led model of care for the management of hypertension (HTN) and diabetes mellitus (DM) in a high HIV prevalence context in rural Zimbabwe. This model of care aims to improve access to maternal health by integrating DM and HTN services into existing healthcare facilities and providing structured mentoring and training for nurses.

The key enablers of this model of care include:

1. Decentralization of services: Bringing DM and HTN care closer to the community by integrating it into primary healthcare clinics and hospitals.

2. Integration of care: Incorporating DM and HTN services into existing healthcare programs, such as HIV clinics or chronic care clinics, to ensure comprehensive and holistic care.

3. Simplification of management guidelines: Developing simplified and context-adapted clinical protocols and guidelines for the diagnosis, treatment, and monitoring of DM and HTN.

4. Mentoring and task-sharing: Providing intensive mentoring and training for nurses to build their knowledge and skills in diagnosing, treating, and monitoring DM and HTN patients.

5. Provision of affordable medicines: Ensuring the availability of affordable medications for DM and HTN patients in supported health facilities.

6. Quality assured laboratory support: Establishing laboratory support for accurate diagnosis and monitoring of DM and HTN, including point-of-care testing.

7. Patient empowerment: Educating and empowering patients to actively participate in their own care through disease-specific education and literacy tools.

8. Dedicated monitoring and evaluation system: Implementing a robust system for monitoring and evaluating the effectiveness of the DM and HTN program, including regular data collection and analysis.

9. Robust referral system: Establishing a well-functioning referral system to ensure that patients receive appropriate care at secondary or tertiary levels when needed.

By implementing this nurse-led model of care, the study successfully trained nurses in diagnosing, treating, and monitoring DM and HTN patients in rural Zimbabwe. The program registered over 3,000 patients, demonstrating the feasibility and effectiveness of this approach.

This recommendation can be developed into an innovation by adapting and implementing it in other low- and middle-income countries facing similar challenges of non-communicable diseases and limited access to maternal health. By integrating DM and HTN services into existing healthcare systems and providing training and support for healthcare providers, this model of care can help improve access to maternal health and reduce the burden of non-communicable diseases in resource-constrained settings.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Implement a nurse-led model of care: Similar to the nurse-led model for managing diabetes mellitus and hypertension, a nurse-led model of care can be established specifically for maternal health. This would involve training and empowering nurses to provide comprehensive prenatal, delivery, and postnatal care to pregnant women.

2. Decentralize maternal health services: To improve access, maternal health services can be decentralized and made available in primary health care clinics and community health centers. This would bring care closer to where women live, reducing the need for long-distance travel.

3. Integrate maternal health with existing services: Maternal health services can be integrated with other existing health services, such as HIV clinics or chronic care clinics. This would allow for efficient use of resources and expertise, and ensure that pregnant women receive holistic care.

4. Simplify management guidelines: Developing simplified and context-adapted clinical protocols and guidelines for maternal health would make it easier for healthcare providers to deliver quality care. This would also help in standardizing care across different healthcare facilities.

5. Provide affordable medications and supplies: Ensuring that essential medications and supplies for maternal health are affordable and readily available would remove financial barriers and improve access to necessary interventions and treatments.

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 visits, percentage of deliveries attended by skilled birth attendants, and maternal mortality rate.

2. Collect baseline data: Gather data on the current status of these indicators in the target population or region. This could involve reviewing existing data sources, conducting surveys, or analyzing health facility records.

3. Develop a simulation model: Create a simulation model that incorporates the potential recommendations and their expected impact on the identified indicators. This could be a mathematical model or a computer-based simulation.

4. Input data and parameters: Input the baseline data and parameters into the simulation model. This would include information on the population, healthcare facilities, healthcare providers, and resources available.

5. Run simulations: Run the simulation model multiple times, varying the parameters related to the recommendations. This would allow for testing different scenarios and understanding the potential impact of each recommendation on the indicators of access to maternal health.

6. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This could involve comparing the simulated outcomes with the baseline data and identifying any significant changes or improvements.

7. Validate the model: Validate the simulation model by comparing the simulated outcomes with real-world data, if available. This would help ensure the accuracy and reliability of the model’s predictions.

8. Refine and iterate: Based on the results and validation, refine the simulation model and repeat the simulations as needed. This iterative process would help in fine-tuning the recommendations and understanding their potential effectiveness in improving access to maternal health.

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