Interruptions to HIV Care Delivery During Pandemics and Natural Disasters: A Qualitative Study of Challenges and Opportunities From Frontline Healthcare Providers in Western Kenya

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Study Justification:
– The study aimed to understand the impact of the COVID-19 pandemic and recent flooding disasters on HIV care delivery in western Kenya.
– Public health crises can lead to disengagement from care among people living with HIV (PLWH).
– Understanding the challenges and opportunities faced by frontline healthcare providers is crucial to improving HIV care during crises.
Study Highlights:
– Increased structural interruptions created strain on health facilities.
– Providers experienced physical and psychosocial burnout.
– Patient uptake of services along the HIV continuum decreased, especially among vulnerable patients.
– Existing community-based programs and teleconsultations could be adapted to provide differentiated HIV care.
Study Recommendations:
– Implement community-centric care programs to overcome social, economic, and structural barriers and ensure optimal care during public health disruptions.
– Strengthen existing community-based programs and teleconsultations for HIV care delivery.
– Address provider burnout through support and resources.
– Develop strategies to improve patient uptake of services, particularly among vulnerable populations.
Key Role Players:
– Ministry of Health (MOH) in Kenya
– Academic Model Providing Access to Healthcare (AMPATH)
– Moi University
– Moi Teaching and Referral Hospital
– Consortium of academic institutions led by Indiana University
Cost Items for Planning Recommendations:
– Resources for community-centric care programs
– Funding for strengthening community-based programs and teleconsultations
– Support and resources for addressing provider burnout
– Strategies and resources for improving patient uptake of services
– Training and capacity building for healthcare providers
– Monitoring and evaluation of implemented interventions

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement.

During public health crises, people living with HIV (PLWH) may become disengaged from care. The goal of this study was to understand the impact of the COVID-19 pandemic and recent flooding disasters on HIV care delivery in western Kenya. We conducted ten individual in-depth interviews with HIV providers across four health facilities. We used an iterative and integrated inductive and deductive data analysis approach to generate four themes. First, increased structural interruptions created exacerbating strain on health facilities. Second, there was increased physical and psychosocial burnout among providers. Third, patient uptake of services along the HIV continuum decreased, particularly among vulnerable patients. Finally, existing community-based programs and teleconsultations could be adapted to provide differentiated HIV care. Community-centric care programs, with an emphasis on overcoming the social, economic, and structural barriers will be crucial to ensure optimal care and limit the impact of public health disruptions on HIV care globally.

This study was conducted within the Academic Model Providing Access to Healthcare (AMPATH) in western Kenya. AMPATH is an academic partnership between Moi University, Moi Teaching and Referral Hospital, and a consortium of academic institutions led by Indiana University.19 Since 2001, AMPATH has been a key partner of the Kenya Ministry of Health (MOH) and the National AIDS and STI Control Program to create and implement prevention and treatment programs to support HIV patients. To date, the program has provided HIV care services for approximately 110,000  +  active patients living with HIV across 300 + MOH-supported clinics in western Kenya.20 AMPATH also provides primary- to tertiary-level care services at health facilities, and community-based care programs including community-based medication deliveries through community-ART groups (CAGs), community-based care delivery for non-communicable diseases and maternal and child health, and economic programs to address social determinants of health through group-based microfinance, agricultural, and income generation activities.21–26 For HIV care, established and stable HIV patients within the AMPATH program are routinely seen by HIV-trained clinicians with a 3–6 month return-to-clinic (RTC) date for follow-ups.17 The clinician-to-patient ratio is estimated to be 1:1300–1550.27 All HIV clinical visits, labs, and medications are provided at no cost to patients. Antiretroviral therapies (ART) are given for a duration of 3 months, after which a patient may come back to the health facility to receive a refill. Eligible patients are enrolled in CAGs where they receive ART delivered to them in the community every 3 months, with an in-person clinical visit at the facility every 6 months. Viral loads for virally suppressed patients are ordered and taken at the facility laboratory every 12 months. For patients who are not virally suppressed, a repeat viral load test is typically ordered after 3 months in combination with enhanced adherence counseling. All viral load testing procedures comply with recommendations from the National AIDS and STI Control Program, MOH in Kenya.28 The study was conducted at four health facilities in two counties, Busia and Trans Nzoia, within the AMPATH catchment area. Selection of the counties was based on their long-standing HIV care infrastructure through facility-based and differentiated community-based care via CAGs.21,25 Additionally, at the time of the study, the counties were sites for our clinical trial in which a community-based HIV intervention would be deployed (ClinicalTrials.gov Identifier: {“type”:”clinical-trial”,”attrs”:{“text”:”NCT04417127″,”term_id”:”NCT04417127″}}NCT04417127). Selection of the health facilities within the two counties was informed by two main factors; one was the presence/absence of flooding events (Busia County was severely affected by floods), and the other was the level of site-specific and locally imposed COVID-19 restrictions (while the government issued safety recommendations, how these recommendations were implemented may vary between and within counties based on the local administration, COVID infection severity, and available resources at each site. In Trans Nzoia county, one study site had a stricter implementation of COVID safety recommendations than the other.) Between October and December 2020, we conducted 10 telephone-based individual in-depth interviews with HIV providers to explore the impact of COVID-19 on HIV care delivery, the impact of COVID-19 on providers and patients, and mitigation strategies employed to alleviate the downstream impact on HIV treatment outcomes, including ART delivery and telemedicine. A semistructured interview guide was designed to elicit information in these specific areas from HIV providers who continued to provide care for HIV patients during the early phases of the COVID-19 pandemic and in the aftermath of the flooding. Trained researchers identified, contacted, and obtained informed consent from participants. Each interview lasted approximately one hour and was conducted on the telephone in English and/or Swahili. At the end of each interview, participants were compensated with 500 Kenyan shillings (approximately 5 US dollars) in appreciation for their time. We invited 10 HIV care providers from four different health facilities in the two specified counties. Participants were chosen because they were frontline clinicians or nurses providing care to HIV patients during the COVID-19 pandemic. All participants directly provided care for patients at the health facilities, and some played leadership roles within facilities. Selection of the providers was also based on the number of years that they had been providing HIV care and number of years on staff at AMPATH. In addition, providers holding various clinical and administrative positions were invited to ensure different types of responsibilities were captured. The number of interviews was based on our consensus that interviews would not disrupt providers’ care responsibilities while ensuring that content saturation would be reached. Verbal consent was obtained from all participants prior to commencing the interviews. Data collection was conducted by experienced researchers from the AMPATH Social-Behavioral Team. All interviews were audio-recorded. Recorded interviews were transcribed in full and then translated into English. De-identified text data were imported to NVivo (Copyright © 1999-2021 QSR International) for analysis. An iterative and integrated inductive and deductive data analysis approach was used. A codebook containing deductive codes was generated based on a priori identified areas as per the semistructured interview guide. As new information emerged, inductive codes were added to the codebook. Ideas from different interviews were pooled together, reviewed, discussed, and integrated into common themes. A team of three qualitative analysts conducted a two-stage approach to coding and text analysis. First, one analyst (HK) conducted a first-level coding exercise to identify ideas and themes related to the impact of COVID on the providers, the perceived effects on HIV patients, and their thoughts on specific mitigation strategies to deliver HIV care during COVID-19. After first-level coding, second-level coding was conducted by the other two analysts (DT and JC) who merged overlapping codes, identified, discussed, and further refined common and emerging themes. These themes are presented in the results as summary statements, with quotes provided for elaboration and illustrative purposes. This study was approved by the Moi Teaching and Referral Hospital/Moi University Institutional Research and Ethics Committee, Eldoret, Kenya, under Reference IREC/2020/120, Approval Number 0003659. Verbal consent was obtained from all participants prior to commencing the interviews. The study investigators provided verbal informed consent, instead of written informed consent, for the following reasons. First, the study period occurred between October and December 2020, before the availability of any COVID-19 vaccines and during a time when social and physical distancing was advised in Kenya. Limiting physical interactions whenever possible to avoid the unnecessary spread of COVID-19 to participants was a safety priority of our research team. All interviews and informed consent were conducted via the telephone. During the consent process, the interviewer provided a description of the study (ie, introduction, purpose, procedures, reimbursement, confidentiality, risks, and benefits) to participants. Participants were free to ask follow-up questions about the study. Finally, participants were asked to verbally state if they would be willing to take part in the interview. No identifiable information was recorded at any time during the interview.

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

1. Telemedicine: Implementing teleconsultations and virtual visits for prenatal care, allowing pregnant women to receive medical advice and support remotely, reducing the need for in-person visits and improving access to care, especially in remote areas.

2. Mobile health (mHealth) applications: Developing mobile applications that provide educational resources, appointment reminders, and personalized health information for pregnant women, empowering them to take an active role in their own maternal health.

3. Community-based care programs: Expanding community-based care programs to provide maternal health services, including antenatal care, postnatal care, and family planning, in local communities. This approach can help overcome barriers such as transportation and limited healthcare facilities.

4. Integration of maternal health services: Integrating maternal health services with existing programs, such as HIV care programs, to provide comprehensive care for pregnant women, especially those living with HIV. This approach can improve coordination and ensure that women receive all the necessary services in one location.

5. Task-shifting and training: Training and empowering community health workers and midwives to provide basic maternal health services, such as prenatal check-ups and childbirth support. This can help alleviate the burden on healthcare facilities and increase access to care in underserved areas.

6. Mobile clinics: Establishing mobile clinics that travel to remote areas to provide maternal health services, including prenatal care, vaccinations, and screenings. This can bring healthcare closer to communities that have limited access to healthcare facilities.

7. Public-private partnerships: Collaborating with private sector organizations to improve access to maternal health services. This can involve leveraging private sector resources, expertise, and technology to expand healthcare infrastructure and services.

8. Health information systems: Implementing robust health information systems to track and monitor maternal health indicators, identify gaps in care, and improve resource allocation. This can help identify areas where access to maternal health services is lacking and inform targeted interventions.

These innovations can help address barriers to accessing maternal health services, improve the quality of care, and ultimately contribute to better maternal and child health outcomes.
AI Innovations Description
Based on the description provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Adapt existing community-based programs and teleconsultations: The study suggests that existing community-based programs and teleconsultations can be adapted to provide differentiated HIV care. This recommendation can be applied to maternal health as well. Community-based programs can be expanded to include maternal health services, such as prenatal care, postnatal care, and family planning. This can involve training community health workers to provide basic maternal health services and conducting regular home visits to pregnant women and new mothers. Teleconsultations can also be utilized to provide remote access to healthcare providers for maternal health consultations and follow-ups.

By implementing these adaptations, pregnant women and new mothers, especially those in remote or underserved areas, can have improved access to essential maternal health services. This innovation can help overcome social, economic, and structural barriers that may hinder access to maternal healthcare, ultimately ensuring optimal care and reducing the impact of public health disruptions on maternal health outcomes.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthen community-based care programs: Expand and enhance existing community-based care programs to provide comprehensive maternal health services. This can include training community health workers to provide prenatal and postnatal care, conducting home visits for pregnant women, and promoting community awareness and education on maternal health.

2. Implement telemedicine for maternal health: Develop and implement telemedicine platforms to provide remote consultations, monitoring, and support for pregnant women. This can help overcome geographical barriers and improve access to healthcare services, especially in remote or underserved areas.

3. Improve transportation infrastructure: Invest in improving transportation infrastructure, such as roads and transportation networks, to ensure that pregnant women can easily access healthcare facilities. This can include providing transportation subsidies or incentives for pregnant women to encourage regular prenatal care visits.

4. Enhance health facility capacity: Increase the capacity of healthcare facilities to provide maternal health services by improving infrastructure, equipment, and staffing. This can involve training healthcare providers in obstetric care, ensuring the availability of essential supplies and medications, and expanding the number of healthcare facilities in underserved areas.

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 that reflect access to maternal health, such as the number of prenatal care visits, the percentage of deliveries attended by skilled birth attendants, and the maternal mortality rate.

2. Collect baseline data: Gather data on the current status of maternal health access in the target population or region. This can include data from healthcare facilities, surveys, and existing databases.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population demographics, healthcare infrastructure, and resource availability.

4. Input data and parameters: Input the baseline data and parameters into the simulation model. This includes information on the target population, healthcare facilities, and the expected effects of the recommendations on access to maternal health.

5. Run simulations: Run multiple simulations using different scenarios and assumptions to assess the potential impact of the recommendations. This can involve varying factors such as the scale of implementation, resource allocation, and population coverage.

6. Analyze results: Analyze the simulation results to determine the projected changes in the selected indicators. This can include comparing the outcomes of different scenarios and identifying the most effective strategies for improving access to maternal health.

7. Validate and refine the model: Validate the simulation model by comparing the projected results with real-world data, if available. Refine the model based on feedback and additional data to improve its accuracy and reliability.

8. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to advocate for the implementation of the recommended strategies and inform decision-making processes.

It’s important to note that the methodology for simulating the impact of recommendations on improving access to maternal health may vary depending on the specific context and available data.

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