Trial reportBMC health services research2022
The cost of implementing the Systems Analysis and Improvement Approach for a cluster randomized trial integrating HIV testing into family planning services in Mombasa County, Kenya.
Trial report in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02994355 (HIV Testing at Family Planning Clinics in Mombasa County, Kenya), which is not on this map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
HIV Testing at Family Planning Clinics in Mombasa County, Kenya: A Cluster-Randomized Trial Comparing the Systems Analysis and Improvement Approach (SAIA) to Usual Procedures
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Integrating HIV prevention with family planning services for adolescent girls and young women in Uganda: perspectives of adolescent girls and young women, health care providers, and policymakers.Frontiers in reproductive health · 2025Article
- Assessing drivers of implementing "Scaling-up the Systems Analysis and Improvement Approach" for Prevention of Mother-to-Child HIV Transmission in Mozambique (SAIA-SCALE) over implementation waves.Implementation science communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundAlthough HIV testing in family planning (FP) clinics is a promising approach for engaging women in HIV treatment and prevention services, HIV testing rates are low in FP clinics in Kenya. In 2018, a cluster randomized trial was implemented in Mombasa, Kenya applying the Systems Analysis and Improvement Approach (SAIA) to integrate HIV testing into FP services (1K24HD088229-01). We estimated the incremental costs and explored cost drivers of the FP HIV SAIA implementation in Mombasa, Kenya.
methodsWe conducted a costing evaluation from the payer perspective for the FP HIV SAIA randomized control trial. We identified relevant activities for the intervention including start-up, training, research and FP HIV SAIA. We estimated activity time burden using a time-and motion study. We derived unit costs through staff interviews and programmatic budgets. We present cost estimates for two different scenarios: as-implemented including research and projected costs for a Ministry of Health-supported intervention. All costs are reported in 2018 USD.
resultsFor an annual program output of 36,086 HIV tests administered to new FP clients, we estimated the total annual program cost to be $91,994 with an average cost per new FP client served of $2.55. Personnel and HIV rapid testing kits comprised 55% and 21% of programmatic costs, respectively. Assuming no changes to program outputs and with efficiency gains under the MOH scenario, the estimated cost per new FP client served decreased to $1.30 with a programmatic cost reduction of 49%.
conclusionFP HIV SAIA is a low-cost and flexible implementation strategy for facilitating integrated delivery of HIV testing alongside FP services. Although cost implications of the FP HIV SAIA intervention must continue to be evaluated over time, these findings provide context-specific cost data useful for budget planning and decision-making regarding intervention delivery and expansion.
trial registrationThe trial was registered on December 15, 2016, with clinicaltrials.gov (NCT02994355).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.