Expanding access to non-communicable disease care in rural Malawi: Outcomes from a retrospective cohort in an integrated NCD-HIV model

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Study Justification:
– Non-communicable diseases (NCDs) account for a significant portion of disability-adjusted life years in Malawi.
– Access to NCD care is limited in rural areas.
– Integrated services with HIV have been recommended but are not widely implemented.
– The study aims to evaluate the outcomes of an Integrated Chronic Care Clinic (IC3) model in rural Malawi.
Study Highlights:
– The IC3 model, built on an HIV platform, facilitated decentralization and access to NCD services in rural Malawi.
– Clinical outcomes showed statistically significant improvement for hypertension, diabetes, asthma, and epilepsy.
– One-year retention in care was 85% for HIV and 72% for NCDs.
– The model suggests that integrating chronic disease care at the primary care level is a way forward for addressing the dual burden of HIV and NCDs.
Study Recommendations:
– Expand the IC3 model to other rural areas in Malawi to improve access to NCD care.
– Strengthen the integration of NCD and HIV services at primary care facilities.
– Provide ongoing training and support for healthcare providers to effectively manage NCDs.
– Enhance community health worker (CHW) programs to support patients with NCDs and ensure adherence to treatment.
Key Role Players:
– Ministry of Health (MOH)
– Neno District Executive Council (DEC)
– Partners In Health (PIH)
– Clinical officers
– Nurses
– Support staff
– Physicians
Cost Items for Planning Recommendations:
– Training programs for healthcare providers
– Salaries and stipends for clinical staff and CHWs
– Medical supplies and medications for NCD care
– Equipment and infrastructure improvements at primary care facilities
– Monitoring and evaluation activities
– Patient education and awareness campaigns

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study is a retrospective cohort study with a large sample size, which adds to its credibility. The study reports descriptive outcomes and clinical measurements for patients with HIV and NCDs in rural Malawi. The study also includes information on the interventions and setting. However, the abstract lacks information on the specific methodology used, such as data collection methods and statistical analysis. To improve the strength of the evidence, the abstract should provide more details on the study design and methodology, including information on data collection and analysis techniques.

Objectives Non-communicable diseases (NCDs) account for one-third of disability-adjusted life years in Malawi, and access to care is exceptionally limited. Integrated services with HIV are widely recommended, but few examples exist globally. We report descriptive outcomes from an Integrated Chronic Care Clinic (IC3). Design This is a retrospective cohort study. Setting The study includes an HIV-NCD clinic across 14 primary care facilities in the rural district of Neno, Malawi. Participants All new patients, including 6233 HIV-NCD diagnoses, enrolled between January 2015 and December 2017 were included. This included 3334 patients with HIV (59.7% women) and 2990 patients with NCD (67.3% women), 10% overall under age 15 years. Interventions Patients were seen at their nearest health centre, with a hospital team visiting routinely to reinforce staffing. Data were collected on paper forms and entered into an electronic medical record. Primary and secondary outcome measures Routine clinical measurements are reported at 1-year post-enrolment for patients with more than one visit. One-year retention is reported by diagnosis. Results NCD diagnoses were 1693 hypertension, 668 asthma, 486 epilepsy, 149 diabetes and 109 severe mental illness. By December 2018, 8.3% of patients with NCD over 15 years were also on HIV treatment. One-year retention was 85% for HIV and 72% for NCDs, with default in 8.4% and 25.5% and deaths in 4.0% and 1.4%, respectively. Clinical outcomes showed statistically significant improvement for hypertension, diabetes, asthma and epilepsy. Of the 1807 (80%) of patients with HIV with viral load results, 85% had undetectable viral load. Conclusions The IC3 model, built on an HIV platform, facilitated rapid decentralisation and access to NCD services in rural Malawi. Clinical outcomes and retention in care are favourable, suggesting that integration of chronic disease care at the primary care level poses a way forward for the large dual burden of HIV and chronic NCDs.

Neno District is a district with population of 165 000 in 2017, situated in the southwest zone in Malawi.47 An extremely rural setting, the majority of the population relies on subsistence agriculture, with only 4.5% of the population with electricity.48 Since 2007 PIH has partnered with the MOH in Neno to strengthen health services. In 2011, the Chronic Care Clinic (CCC) began enrolling patients with NCDs at Neno District Hospital, and in 2013 NCD services opened at Lisungwi Community Hospital. In early 2015, CCC was combined with the HIV programme to form IC3, and decentralised to the 11 primary health centres across the district45 (figure 1). NCD and HIV diagnoses in Neno District over time. NCD, non-communicable disease. The clinic-treated patients with one or more of any of the following conditions: HIV, hypertension, epilepsy, asthma, diabetes and mental illness. Patients were referred to IC3 from several settings including inpatient wards, outpatient clinics and community-screening events. The latter were held in remote parts of the district, with participants receiving age-appropriate and gender-appropriate screening for hypertension, diabetes, HIV, TB and malnutrition. Those with high blood pressure or high blood sugar were referred to their nearest facility for IC3 staff to confirm diagnosis and enrol them into care. In order to ensure the sickest patients were found early and treated, and to avoid clinic overcrowding, the referral threshold for blood pressure was systolic blood pressure (SBP) >160 and/or diastolic blood pressure (DBP) >110. Cut-off for blood sugar for referral was fasting >126 mg/dL and random >200 mg/dL.49 For mental health conditions, patients were referred from inpatient and outpatient clinics and assessed and diagnosed on admission to IC3. Once the diagnosis of mental health was confirmed, patients received both psychotherapy and pharmacotherapy at clinic visits. Mental illnesses included in the cohort are: schizophrenia, mood and anxiety disorders, schizoaffective disorder, psychosis, organic mental disorder, and alcohol and drug use-related mental disorders. Patients with a pre-existing NCD diagnosis and on medications were automatically enrolled. Patients were diagnosed using predefined NCD protocols, set by the IC3 team and HIV protocols from central MOH.50 Patients enrolled in IC3 were seen at the health facility nearest to their home at regular intervals. Patients with a complex diagnosis or those starting care had a scheduled visit every month, while most other patients visited every 3 months. The clinic was staffed by clinical officers, nurses, and support staff employed both by PIH and MOH. Supervision and mentorship were performed by several physicians within the district, also employed both by MOH and PIH. Hospital-based staff would travel out to the health centres 3 or 4 days a week to conduct IC3 with health center-based counterparts. This was a solution for staffing shortages—given high volumes of maternal child health and other acute needs at primary health centres, these facilities were not equipped to handle the large influx of patients with HIV and NCDs. This system, of hospital staff travelling to support health center-based staff, had been in place for Neno’s HIV care for several years.40 The HIV programme, well described elsewhere, was characterised by a strong community footprint with a network of over 900 CHWs who received a monthly stipend to assist patients with adherence, perform missed visit tracking and provide social support to especially vulnerable patients in the form of cash transfers.41 These principles were applied to IC3, with the CHW network undergoing a gradual transformation in 2017 and 2018 so that all patients with NCD were eventually assigned a CHW.51 This is a retrospective cohort comprised of all patients newly enrolled in IC3 at any facility in Neno District in the 36-month period between January 2015 and December 2017. Data were collected at enrolment and at routine clinical visits by clinical staff on paper forms also called master cards, which were approved and standardised by the national MOH. Data from the master cards were then regularly entered into an OpenMRS electronic medical record (EMR) system by data clerks. EMR data were extracted and used in this analysis. Baseline demographics and clinical characteristics specific to each disease are reported using descriptive statistics. Key indicators for each condition were chosen based on available routine clinical measurements that were taken each visit based on MOH protocols, which include: blood pressure for patients with hypertension, random or fasting fingerstick for patients with diabetes, asthma severity for patients with asthma and number of monthly seizures for patients with epilepsy. Routine clinical measurements for patients with mental health illness were not available as part of this analysis. Clinical outcomes are reported at 1-year post-enrolment to the clinic for the 36-month period for all patients with more than one visit. The 1-year values were included in this analysis if it was within 3 months of the patients’ 1-year anniversary. Patients were defined as default if they were still missing from clinic more than 8 weeks past their missed appointment, which is consistent with the national definition for default to care for patients with HIV. One-year survival is also reported as patients known to be alive and retained in care 12 months after their enrolment date. SDs are reported for averages for clinical outcomes such as blood pressure or blood sugar, and statistical significance for comparisons between baseline and 1 year were computed using one-sided paired t-tests for continuous values and McNemar’s Χ2 test for proportions. Data were analysed using Stata V.14.2 statistical software.52 The MOH and Neno District Executive Council (DEC) were involved at the conception of the clinic programme design and responsible for approval for the clinic to enrol patients. The clinical services were implemented in tandem by the MOH and PIH, and routine updates were given to the DEC. Patients were involved informally through discussions on clinic design, and formally through patient satisfaction surveys (unpublished). The design of the intervention was meant to address the burden of disease in Neno District, and patients with any chronic condition were eligible for enrolment into the clinic.

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

1. Integrated Chronic Care Clinic (IC3): The IC3 model, built on an HIV platform, facilitated rapid decentralization and access to non-communicable disease (NCD) services in rural Malawi. This model can be expanded to include maternal health services, providing comprehensive care for pregnant women with NCDs.

2. Community Screening Events: Holding community-screening events in remote parts of the district can help identify pregnant women with high blood pressure or high blood sugar, who can then be referred to the nearest facility for further diagnosis and care.

3. Decentralization of Services: Decentralizing maternal health services to primary health centers across the district can improve access for pregnant women in rural areas. This can be done by ensuring that these health centers are adequately staffed and equipped to handle the needs of pregnant women.

4. Utilizing Community Health Workers (CHWs): Building on the existing network of CHWs, these community health workers can be trained to provide support and assistance to pregnant women with NCDs. They can help with adherence to medication, perform missed visit tracking, and provide social support to vulnerable pregnant women.

5. Electronic Medical Record (EMR) System: Implementing an EMR system can improve data collection and management, making it easier to track and monitor the health outcomes of pregnant women with NCDs. This can help identify areas for improvement and ensure continuity of care.

6. Patient Satisfaction Surveys: Conducting patient satisfaction surveys can provide valuable feedback on the quality of maternal health services and help identify areas that need improvement. This can help ensure that pregnant women receive the care they need in a supportive and respectful environment.

These innovations can help improve access to maternal health services for pregnant women with non-communicable diseases in rural areas, ultimately leading to better health outcomes for both mothers and their babies.
AI Innovations Description
The recommendation to improve access to maternal health based on the provided information is to implement an integrated model of care similar to the Integrated Chronic Care Clinic (IC3) in Neno District, Malawi. This model combines HIV and non-communicable disease (NCD) services, allowing for decentralized and accessible care in rural areas.

Key components of this model include:

1. Integration of services: By combining HIV and NCD services, pregnant women can receive comprehensive care for both conditions in one location. This eliminates the need for multiple visits to different clinics, reducing barriers to access.

2. Decentralization of care: The IC3 model brings care closer to the community by establishing clinics in primary health centers across the district. This ensures that pregnant women in rural areas have access to essential maternal health services.

3. Task-shifting and training: The clinic is staffed by a mix of clinical officers, nurses, and support staff employed by both the Ministry of Health (MOH) and partner organizations. This allows for task-shifting, where lower-level healthcare workers are trained to provide certain services traditionally performed by higher-level healthcare professionals. This can help address staffing shortages and increase the availability of maternal health services.

4. Community health worker (CHW) involvement: The IC3 model utilizes a network of CHWs who provide support to patients, including adherence assistance, missed visit tracking, and social support. Assigning CHWs to pregnant women can help ensure continuity of care and provide additional support during pregnancy.

5. Use of electronic medical records (EMR): Data collection and management are facilitated through an EMR system, which allows for efficient tracking of patient information and clinical outcomes. This can help improve the quality of care and enable monitoring and evaluation of the program’s impact on maternal health.

By implementing a similar integrated model of care, other regions or countries can improve access to maternal health services, particularly in rural areas with limited resources. This approach addresses the dual burden of HIV and NCDs, while also providing comprehensive care for pregnant women.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Mobile Clinics: Implementing mobile clinics that can travel to remote areas in Neno District can help provide maternal health services to women who have limited access to healthcare facilities. These clinics can offer prenatal care, postnatal care, and other essential maternal health services.

2. Community Health Workers (CHWs): Expand the existing network of CHWs to include maternal health services. CHWs can provide education, counseling, and support to pregnant women and new mothers in their communities. They can also assist in identifying high-risk pregnancies and referring women to appropriate healthcare facilities.

3. Telemedicine: Utilize telemedicine technology to connect pregnant women in remote areas with healthcare professionals. This can enable remote consultations, monitoring of pregnancies, and timely interventions when necessary.

4. Maternal Waiting Homes: Establish maternal waiting homes near healthcare facilities to accommodate pregnant women who live far away. These homes can provide a safe and comfortable place for women to stay during the final weeks of pregnancy, ensuring they have access to skilled birth attendants and emergency obstetric care.

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 to measure the impact of the recommendations, such as the number of pregnant women accessing prenatal care, the number of skilled births attended, and maternal and neonatal mortality rates.

2. Collect baseline data: Gather data on the current status of maternal health access in Neno District, including the number of healthcare facilities, the distance to the nearest facility for pregnant women, and the utilization of maternal health services.

3. Simulate the interventions: Use modeling techniques to simulate the implementation of the recommendations. This can involve estimating the number of mobile clinics needed, the coverage of CHWs, the utilization of telemedicine services, and the capacity of maternal waiting homes.

4. Estimate the impact: Calculate the potential impact of the recommendations on the defined indicators. This can be done by comparing the simulated scenario with the baseline data, taking into account factors such as population size, geographical distribution, and healthcare infrastructure.

5. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the results. This involves testing different assumptions and parameters to understand the potential variations in the impact of the recommendations.

6. Interpret and communicate the findings: Analyze the results of the simulation and communicate the potential impact of the recommendations on improving access to maternal health. This information can be used to inform decision-making and prioritize interventions for implementation.

It is important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and data availability in Neno District.

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