Adherence in Monitoring of ART response and turnaround time of results as per HIV viral load testing guideline among people living with HIV in Dar es salaam Region.

A 2021 cross-sectional study in Dar es Salaam reveals that adherence to national HIV viral load testing guidelines is suboptimal due to significant delays in sample collection and result turnaround, poor documentation, and challenges related to patient negligence and storage capacity.

The Gist

Imagine you have a car that needs a specific oil change every six months to keep running smoothly. If you skip the oil change, the engine might start to sputter, and eventually, the car could break down completely.

In the world of HIV treatment, Antiretroviral Therapy (ART) is the car, and the Viral Load Test is that critical oil change. It's a blood test that tells doctors if the medicine is working to stop the virus from multiplying.

This research paper is like a mechanic's report card for a busy garage in Dar es Salaam, Tanzania. The researchers went to 15 public health clinics to see if they were following the "owner's manual" (the National Guidelines) for these viral load tests.

Here is the story of what they found, broken down simply:

1. The Goal: The Perfect Schedule

The "owner's manual" says:

• First Check: 6 months after starting treatment.
• Second Check: 12 months later.
• Third Check: 12 months after that.
• The Result: The test result should be back in the patient's hands within 14 days (two weeks).

2. The Reality: A Lot of Missed Appointments

The researchers checked the files of 330 patients and found that the garage was running behind schedule.

• The First Check: Only 1 out of 4 patients (25%) got their first test done at the right time (6 months). The other 7 out of 10 waited way too long.
• The Follow-ups: The delays continued. Many people waited years instead of months for their second and third tests.
• The Waiting Game: Even when the test was done, the results were often late. About two-thirds of the time, patients had to wait longer than the promised 14 days to find out if their medicine was working.

Why does this matter?
If you don't know your car is sputtering, you keep driving until it breaks. Similarly, if a patient isn't tested on time, they might not know their HIV virus is becoming resistant to the medicine. By the time they find out, the virus might have mutated, making the current medicine useless and forcing a switch to stronger, more complex drugs.

3. The Paperwork: A Messy Desk

Imagine a mechanic who fixes cars but never writes down what they did, or loses the receipt. That's what the researchers found with the paperwork.

• Missing Forms: In almost every clinic, the special forms used to track the blood samples were either missing or not filled out correctly.
• No Feedback: When a lab rejects a sample (maybe because it spilled or was labeled wrong), the clinic often never got a note explaining why. It was like sending a package and never getting a "returned to sender" notice.
• The Good News: They did get the blood samples labeled correctly, and they did throw away the old samples properly. So, the physical handling was okay, but the tracking was broken.

4. Why Was This Happening? (The Root Causes)

The researchers asked the doctors and nurses, "What's stopping you?" They found two main culprits that acted like roadblocks:

• Patient Negligence (The "I Forgot" Factor): This was the biggest issue. Sometimes patients simply didn't show up for their blood draw, or they didn't understand why it was urgent. It's like the car owner forgetting to bring the car in for service.
• Storage Issues (The "Fridge" Factor): Blood samples need to be kept cool (like milk in a fridge) before they are sent to the lab. Many clinics didn't have enough space or the right equipment to store these samples safely. If the "fridge" is broken, the sample spoils, and the test can't be done.

5. The Conclusion: We Need a Tune-Up

The paper concludes that while Tanzania has made great progress in giving people HIV medicine, the system for checking if that medicine is working is struggling.

The Recipe for Improvement:

1. Educate the Drivers: Patients need to understand why the test is so important, so they don't skip appointments.
2. Fix the Fridge: Clinics need better storage equipment to keep samples safe.
3. Clean the Desk: The paperwork system needs to be fixed so no sample gets lost in the shuffle.
4. Speed Up the Results: The labs need to get results back to the clinics faster so doctors can act quickly.

In a nutshell: The medicine is there, and the people are taking it. But the system to check if it's working is clogged with delays, lost paperwork, and storage problems. Fixing these "traffic jams" is essential to keep the HIV epidemic under control and ensure people stay healthy.

Technical Summary

1. Problem Statement

Despite the critical role of Viral Load (VL) testing in monitoring Antiretroviral Therapy (ART) effectiveness and preventing drug resistance, implementation of the National HIV Viral Load (HVL) Testing Guideline in Tanzania remains suboptimal.

• Context: While global viral load suppression is high, in Tanzania, only 22% of eligible patients undergo HVL testing, and viral load suppression among adults on ART stands at 78%.
• The Gap: Since the guideline's introduction in 2015, there has been a lack of systematic evaluation regarding its real-world implementation. Key operational failures include delays in sample collection (missing the 6-month, 12-month, and annual windows), poor documentation, and excessive Turnaround Times (TAT) for results (exceeding the 14-day guideline).
• Objective: The study aimed to evaluate adherence to the national HVL testing guideline across Care and Treatment Center (CTC) clinics in Dar es Salaam, specifically focusing on ART monitoring timelines, documentation quality, result turnaround times, and factors influencing implementation.

2. Methodology

• Study Design: A cross-sectional study conducted between June and August 2021.
• Setting: 15 public health facilities (hospitals, health centers, and dispensaries) across all five districts of the Dar es Salaam Region (Kinondoni, Temeke, Ilala, Ubungo, Kigamboni).
• Participants:
  • Patients: 330 People Living with HIV (PLHIV) on ART for >6 months, selected via systematic random sampling with proportional allocation.
  • Providers: 45 healthcare providers (clinicians, nurses, lab technologists) selected via convenient sampling.
• Data Collection:
  • Patient Files: Data abstraction forms were used to review clinical records for HVL sample timing, documentation completeness, and TAT.
  • Provider Surveys: Self-administered questionnaires assessed factors affecting implementation (e.g., human resources, storage, training).
• Analysis: Data were analyzed using SPSS Version 23. Descriptive statistics were used for prevalence; bivariate analysis (Chi-square) and binary logistic regression were employed to identify factors significantly associated with guideline adherence.

3. Key Contributions

This study provides one of the first rigorous, facility-level assessments of the process indicators of the HVL testing cascade in an urban Tanzanian setting.

• Granular Process Analysis: Unlike studies focusing solely on suppression rates, this paper dissects the "care cascade" gaps, specifically measuring adherence to the timing of the first, second, and third samples.
• Documentation Audit: It uniquely highlights the systemic failure in documentation, noting that standard tracking forms are largely absent or incomplete, and feedback loops regarding specimen acceptance/rejection are non-existent.
• Determinant Identification: It isolates specific, actionable determinants (patient negligence and storage capacity) that significantly correlate with adherence, moving beyond general resource constraints.

4. Key Results

A. Monitoring of ART Response (Timing)

Adherence to the recommended testing schedule was poor:

• First Sample: Only 25.1% were taken at the guideline-recommended 6 months. 68.8% were delayed (6–12 months), and 6.1% were >12 months.
• Second Sample: Only 35.1% were taken at 12 months; 59.1% were taken between 12–24 months.
• Third Sample: 67.9% were taken between 24–36 months, indicating significant cumulative delays.

B. Documentation

Documentation practices were critically deficient:

• 96.7% of facilities lacked MoHCDGEC-approved standard sample tracking forms.
• 99.1% of existing forms were incomplete.
• 100% of facilities failed to capture specimen acceptance/rejection feedback.
• 100% failed to document non-conformities in logbooks.
• Note: The only areas of compliance were specimen labeling, result logging, and sample disposal.

C. Turnaround Time (TAT)

The guideline mandates results within 14 days. Adherence was low:

• First Result: 64.5% exceeded 14 days.
• Second Result: 66.7% exceeded 14 days.
• Third Result: 69.4% exceeded 14 days.

D. Factors Associated with Adherence

Multivariate logistic regression identified two independent predictors of guideline adherence:

1. Patient Negligence: Patients whose providers cited negligence as a factor were 9.84 times more likely to adhere to the guideline (AOR=9.84; 95% CI: 1.83–52.77).
2. Storage Capacity: Facilities citing storage issues were 5.72 times more likely to adhere (AOR=5.72; 95% CI: 0.94–35.0), though the upper confidence interval suggests some uncertainty, the association remained strong.

5. Significance and Recommendations

Significance:
The study reveals that the "care cascade" is breaking down at multiple operational levels in Dar es Salaam. The delays in testing and result delivery compromise the ability to detect virologic failure early, increasing the risk of drug resistance and onward transmission. The lack of documentation prevents accurate monitoring of the epidemic and resource allocation.

Recommendations:

• Patient Education: Intensify health education to reduce patient negligence and improve understanding of the importance of timely testing.
• Infrastructure: Invest in specimen storage infrastructure (cold chain) at the facility level to prevent sample degradation and rejection.
• Documentation Systems: Implement enhanced specimen tracking systems (potentially digital) to ensure forms are complete and feedback loops (acceptance/rejection) are closed.
• Accountability: Strengthen provider accountability for TAT adherence and ensure facilities are stocked with necessary supplies to prevent processing delays.
• Future Research: Incorporate qualitative methods and patient interviews to better understand the root causes of delays and negligence.

Conclusion:
Adherence to the National HVL Testing Guideline in Dar es Salaam is currently suboptimal. Without targeted interventions addressing patient education, storage capacity, and documentation systems, Tanzania's progress toward the UNAIDS 95-95-95 targets and the control of HIV drug resistance will be severely hindered.