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The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia.
Di Giorgio, Laura; Moses, Mark W; Fullman, Nancy; Wollum, Alexandra; Conner, Ruben O; Achan, Jane; Achoki, Tom; Bannon, Kelsey A; Burstein, Roy; Dansereau, Emily; DeCenso, Brendan; Delwiche, Kristen; Duber, Herbert C; Gakidou, Emmanuela; Gasasira, Anne; Haakenstad, Annie; Hanlon, Michael; Ikilezi, Gloria; Kisia, Caroline; Levine, Aubrey J; Maboshe, Mashekwa; Masiye, Felix; Masters, Samuel H; Mphuka, Chrispin; Njuguna, Pamela; Odeny, Thomas A; Okiro, Emelda A; Roberts, D Allen; Murray, Christopher J L; Flaxman, Abraham D.
Afiliação
  • Di Giorgio L; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Moses MW; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Fullman N; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Wollum A; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Conner RO; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Achan J; Infectious Diseases Research Collaboration, Mulago Hospital Complex, Kampala, Uganda.
  • Achoki T; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Bannon KA; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Burstein R; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Dansereau E; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • DeCenso B; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Delwiche K; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Duber HC; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Gakidou E; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Gasasira A; African Leaders Malaria Alliance, Kampala, Uganda.
  • Haakenstad A; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Hanlon M; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Ikilezi G; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Kisia C; Infectious Diseases Research Collaboration, Mulago Hospital Complex, Kampala, Uganda.
  • Levine AJ; Action Africa Help-International, Nairobi, Kenya.
  • Maboshe M; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Masiye F; School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
  • Masters SH; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Mphuka C; School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
  • Njuguna P; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Odeny TA; School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
  • Okiro EA; Afya Resource Associates, Nairobi, Kenya.
  • Roberts DA; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
  • Murray CJ; Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Flaxman AD; Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
BMC Med ; 14(1): 108, 2016 07 20.
Article em En | MEDLINE | ID: mdl-27439621
ABSTRACT

BACKGROUND:

Since 2000, international funding for HIV has supported scaling up antiretroviral therapy (ART) in sub-Saharan Africa. However, such funding has stagnated for years, threatening the sustainability and reach of ART programs amid efforts to achieve universal treatment. Improving health system efficiencies, particularly at the facility level, is an increasingly critical avenue for extending limited resources for ART; nevertheless, the potential impact of increased facility efficiency on ART capacity remains largely unknown. Through the present study, we sought to quantify facility-level technical efficiency across countries, assess potential determinants of efficiency, and predict the potential for additional ART expansion.

METHODS:

Using nationally-representative facility datasets from Kenya, Uganda and Zambia, and measures adjusting for structural quality, we estimated facility-level technical efficiency using an ensemble approach that combined restricted versions of Data Envelopment Analysis and Stochastic Distance Function. We then conducted a series of bivariate and multivariate regression analyses to evaluate possible determinants of higher or lower technical efficiency. Finally, we predicted the potential for ART expansion across efficiency improvement scenarios, estimating how many additional ART visits could be accommodated if facilities with low efficiency thresholds reached those levels of efficiency.

RESULTS:

In each country, national averages of efficiency fell below 50 % and facility-level efficiency markedly varied. Among facilities providing ART, average efficiency scores spanned from 50 % (95 % uncertainty interval (UI), 48-62 %) in Uganda to 59 % (95 % UI, 53-67 %) in Zambia. Of the facility determinants analyzed, few were consistently associated with higher or lower technical efficiency scores, suggesting that other factors may be more strongly related to facility-level efficiency. Based on observed facility resources and an efficiency improvement scenario where all facilities providing ART reached 80 % efficiency, we predicted a 33 % potential increase in ART visits in Kenya, 62 % in Uganda, and 33 % in Zambia. Given observed resources in facilities offering ART, we estimated that 459,000 new ART patients could be seen if facilities in these countries reached 80 % efficiency, equating to a 40 % increase in new patients.

CONCLUSIONS:

Health facilities in Kenya, Uganda, and Zambia could notably expand ART services if the efficiency with which they operate increased. Improving how facility resources are used, and not simply increasing their quantity, has the potential to substantially elevate the impact of global health investments and reduce treatment gaps for people living with HIV.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Eficiência Organizacional / Antirretrovirais / Administração de Instituições de Saúde Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções por HIV / Eficiência Organizacional / Antirretrovirais / Administração de Instituições de Saúde Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: BMC Med Assunto da revista: MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos