Reducing Mother-to-Child Transmission of HIV Using Quality Improvement Approaches.


Journal

Journal of the International Association of Providers of AIDS Care
ISSN: 2325-9582
Titre abrégé: J Int Assoc Provid AIDS Care
Pays: United States
ID NLM: 101603896

Informations de publication

Date de publication:
Historique:
entrez: 20 6 2019
pubmed: 20 6 2019
medline: 16 7 2020
Statut: ppublish

Résumé

Over half of mother-to-child HIV transmission (MTCT) occurs postdelivery. Keeping mother-infant pairs in care remains challenging. Health workers in 3 countries used quality improvement (QI) approaches to improve data systems, mother-infant retention, and facility-based care delivery. The number and proportion of infants with known HIV status at time of discharge from early infant diagnosis programs increased in Tanzania and Uganda. We analyzed data using statistical process control charts. Mother-to-child HIV transmission did not decrease in 15 Kenyan sites, decreased from 12.7% to 3.8% in 28 Tanzanian sites, and decreased from 17.2% to 1.5% in 10 Ugandan sites with baseline data. This improvement is likely due to the combination of option B+, service delivery improvements, and retention through QI approaches. Reaching the global MTCT elimination target and maximizing infant survival will require health systems to support mother-infant pairs to remain in care and support health workers to deliver care. Quality improvement approaches can support these changes.

Identifiants

pubmed: 31213119
doi: 10.1177/2325958219855631
pmc: PMC6748455
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2325958219855631

Subventions

Organisme : PEPFAR
Pays : United States

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Auteurs

Nigel Livesley (N)

1 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Chevy Chase, MD, USA.

Astou Coly (A)

1 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Chevy Chase, MD, USA.

Esther Karamagi (E)

2 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Kampala, Uganda.

Tamara Nsubuga-Nyombi (T)

2 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Kampala, Uganda.

Stella Kasindi Mwita (SK)

3 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Dar es Salaam, Tanzania.

Monica M Ngonyani (MM)

3 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Dar es Salaam, Tanzania.

Jane Mvungi (J)

3 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Dar es Salaam, Tanzania.

Kevin Kinyua (K)

4 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Nairobi, Kenya.

Prisca Muange (P)

4 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Nairobi, Kenya.

Anisa Ismail (A)

1 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Chevy Chase, MD, USA.

Timothy Quick (T)

5 US Agency for International Development Office of HIV/AIDS, Bureau for Global Health, Washington, DC, USA.

Amy Stern (A)

1 United States Agency for International Development (USAID) Applying Science to Strengthen and Improve Systems (ASSIST) Project, University Research Co, LLC (URC), Chevy Chase, MD, USA.

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Classifications MeSH