Facility-Based Indicators to Manage and Scale Up Cervical Cancer Prevention and Care Services for Women Living With HIV in Sub-Saharan Africa: a Three-Round Online Delphi Consensus Method

Maša Davidović

Background:

Of women with cervical cancer (CC) and HIV, 85% live in sub-Saharan Africa, where 21% of all CC cases are attributable to HIV infection. We aimed to generate internationally acceptable facility-based indicators to monitor and guide scale up of CC prevention and care services offered on-site or off-site by HIV clinics.

Methods:

We reviewed the literature and extracted relevant indicators, grouping them into domains along the CC control continuum. From February 2021 to March 2022, we conducted a three-round, online Delphi process to reach consensus on indicators. We invited 106 experts to participate. Through an anonymous, iterative process, participants adapted the indicators to their context (round 1), then rated them for 5 criteria on a 5-point Likert-type scale (rounds 2 and 3) and then ranked their importance (round 3).

Results:

We reviewed 39 policies from 21 African countries and 7 from international organizations; 72 experts from 15 sub-Saharan Africa countries or international organizations participated in our Delphi process. Response rates were 34% in round 1, 40% in round 2, and 44% in round 3. Experts reached consensus for 17 indicators in the following domains: primary prevention (human papillomavirus prevention, n = 2), secondary prevention (screening, triage, treatment of precancerous lesions, n = 11), tertiary prevention (CC diagnosis and care, n = 2), and long-term impact of the program and linkage to HIV service (n = 2).

Conclusion:

We recommend that HIV clinics that offer CC control services in sub-Saharan Africa implement the 17 indicators stepwise and adapt them to context to improve monitoring along the CC control cascade.

Institutions
Funding
NIDDK NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919Caribbean, Central, and South America network for HIV Epidemiology (CCASAnet)Harmonist: A Scalable Toolkit for Standardizing and Coordinating Data Sharing Across International Research NetworksEast Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumFIC NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919International Epidemiology Databases to EvaluateAIDS (IeDEA) Renewal 4IeDEA Asia-Pacific Research CollaborationInternational epidemiology Databases to Evaluate AIDS (IeDEA) Southern Africa.NHLBI NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919NIMH NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919NIDA NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919Emory Specialized Center of Research Excellence (SCORE) on Sex DifferencesCentral Africa International Epidemiology databases to Evaluate AIDSNorth American AIDS Cohorts on Collaboration and Design (NAACCORD)NIAAA NIH HHS Grant Central Africa, U01AI096299; East Africa, U01AI069911; Southern Africa, U01AI069924; West Africa, U01AI069919

NIAID NIH HHS

U01 AI069923

NIAID NIH HHS

R24 AI124872

NIAID NIH HHS

U01 AI069911

NIAID NIH HHS

U01 AI069919

NIAID NIH HHS

U01 AI069907

NIAID NIH HHS

U01 AI069924

NIA NIH HHS

U54 AG062334

NIAID NIH HHS

U01 AI096299

NIAID NIH HHS

U01 AI069918