Can Modeling of HIV Treatment Processes Improve Outcomes? Capitalizing on an Operations Research Approach to the Global Pandemic

DSpace/Manakin Repository

Can Modeling of HIV Treatment Processes Improve Outcomes? Capitalizing on an Operations Research Approach to the Global Pandemic

Show simple item record

dc.contributor.author Xiong, Wei
dc.contributor.author Hupert, Nathaniel
dc.contributor.author Hollingsworth, Eric B.
dc.contributor.author O'Brien, Megan E.
dc.contributor.author Fast, Jessica
dc.contributor.author Rodriguez, William Richard
dc.date.accessioned 2012-12-07T21:41:14Z
dc.date.issued 2008
dc.identifier.citation Xiong, Wei, Nathaniel Hupert, Eric B. Hollingsworth, Megan E. O'Brien, Jessica Fast, and William R. Rodriguez. 2008. Can modeling of HIV treatment processes improve outcomes? Capitalizing on an operations research approach to the global pandemic. BMC Health Services Research 8: 166. en_US
dc.identifier.issn 1472-6963 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:10021408
dc.description.abstract Background: Mathematical modeling has been applied to a range of policy-level decisions on resource allocation for HIV care and treatment. We describe the application of classic operations research (OR) techniques to address logistical and resource management challenges in HIV treatment scale-up activities in resource-limited countries. Methods: We review and categorize several of the major logistical and operational problems encountered over the last decade in the global scale-up of HIV care and antiretroviral treatment for people with AIDS. While there are unique features of HIV care and treatment that pose significant challenges to effective modeling and service improvement, we identify several analogous OR-based solutions that have been developed in the service, industrial, and health sectors. Results: HIV treatment scale-up includes many processes that are amenable to mathematical and simulation modeling, including forecasting future demand for services; locating and sizing facilities for maximal efficiency; and determining optimal staffing levels at clinical centers. Optimization of clinical and logistical processes through modeling may improve outcomes, but successful OR-based interventions will require contextualization of response strategies, including appreciation of both existing health care systems and limitations in local health workforces. Conclusion: The modeling techniques developed in the engineering field of operations research have wide potential application to the variety of logistical problems encountered in HIV treatment scale-up in resource-limited settings. Increasing the number of cross-disciplinary collaborations between engineering and public health will help speed the appropriate development and application of these tools. en_US
dc.language.iso en_US en_US
dc.publisher BioMed Central en_US
dc.relation.isversionof doi://10.1186/1472-6963-8-166 en_US
dc.relation.hasversion http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533310/pdf/ en_US
dash.license LAA
dc.subject middle-income countries en_US
dc.subject antiretroviral drugs en_US
dc.subject care services en_US
dc.subject scale en_US
dc.subject implementation en_US
dc.subject challenges en_US
dc.subject settings en_US
dc.subject capacity en_US
dc.subject systems en_US
dc.title Can Modeling of HIV Treatment Processes Improve Outcomes? Capitalizing on an Operations Research Approach to the Global Pandemic en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal BMC Health Services Research en_US
dash.depositing.author Rodriguez, William Richard
dc.date.available 2012-12-07T21:41:14Z
dash.affiliation.other HMS^Medicine-Massachusetts General Hospital en_US

Files in this item

Files Size Format View
2533310.pdf 282.7Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

 
 

Search DASH


Advanced Search
 
 

Submitters