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Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia

BACKGROUND: Rapid scale up of HIV treatment programs in sub-Saharan Africa has refueled the long-standing health policy debate regarding the merits and drawbacks of vertical and integrated system. Recent pilots of integrating outpatient and HIV services have shown an improvement in some patient outc...

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Autores principales: Deo, Sarang, Topp, Stephanie M., Garcia, Ariel, Soldner, Mallory, Yagci Sokat, Kezban, Chipukuma, Julien, Wamulume, Chibesa S., Reid, Stewart E., Swann, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335156/
https://www.ncbi.nlm.nih.gov/pubmed/22545108
http://dx.doi.org/10.1371/journal.pone.0035479
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author Deo, Sarang
Topp, Stephanie M.
Garcia, Ariel
Soldner, Mallory
Yagci Sokat, Kezban
Chipukuma, Julien
Wamulume, Chibesa S.
Reid, Stewart E.
Swann, Julie
author_facet Deo, Sarang
Topp, Stephanie M.
Garcia, Ariel
Soldner, Mallory
Yagci Sokat, Kezban
Chipukuma, Julien
Wamulume, Chibesa S.
Reid, Stewart E.
Swann, Julie
author_sort Deo, Sarang
collection PubMed
description BACKGROUND: Rapid scale up of HIV treatment programs in sub-Saharan Africa has refueled the long-standing health policy debate regarding the merits and drawbacks of vertical and integrated system. Recent pilots of integrating outpatient and HIV services have shown an improvement in some patient outcomes but deterioration in waiting times, which can lead to worse health outcomes in the long run. METHODS: A pilot intervention involving integration of outpatient and HIV services in an urban primary care facility in Lusaka, Zambia was studied. Data on waiting time of patients during two seven-day periods before and six months after the integration were collected using a time and motion study. Statistical tests were conducted to investigate whether the two observation periods differed in operational details such as staffing, patient arrival rates, mix of patients etc. A discrete event simulation model was constructed to facilitate a fair comparison of waiting times before and after integration. The simulation model was also used to develop alternative configurations of integration and to estimate the resulting waiting times. RESULTS: Comparison of raw data showed that waiting times increased by 32% and 36% after integration for OPD and ART patients respectively (p<0.01). Using simulation modeling, we found that a large portion of this increase could be explained by changes in operational conditions before and after integration such as reduced staff availability (p<0.01) and longer breaks between consecutive patients (p<0.05). Controlling for these differences, integration of services, per se, would have resulted in a significant decrease in waiting times for OPD and a moderate decrease for HIV services. CONCLUSIONS: Integrating health services has the potential of reducing waiting times due to more efficient use of resources. However, one needs to ensure that other operational factors such as staff availability are not adversely affected due to integration.
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spelling pubmed-33351562012-04-27 Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia Deo, Sarang Topp, Stephanie M. Garcia, Ariel Soldner, Mallory Yagci Sokat, Kezban Chipukuma, Julien Wamulume, Chibesa S. Reid, Stewart E. Swann, Julie PLoS One Research Article BACKGROUND: Rapid scale up of HIV treatment programs in sub-Saharan Africa has refueled the long-standing health policy debate regarding the merits and drawbacks of vertical and integrated system. Recent pilots of integrating outpatient and HIV services have shown an improvement in some patient outcomes but deterioration in waiting times, which can lead to worse health outcomes in the long run. METHODS: A pilot intervention involving integration of outpatient and HIV services in an urban primary care facility in Lusaka, Zambia was studied. Data on waiting time of patients during two seven-day periods before and six months after the integration were collected using a time and motion study. Statistical tests were conducted to investigate whether the two observation periods differed in operational details such as staffing, patient arrival rates, mix of patients etc. A discrete event simulation model was constructed to facilitate a fair comparison of waiting times before and after integration. The simulation model was also used to develop alternative configurations of integration and to estimate the resulting waiting times. RESULTS: Comparison of raw data showed that waiting times increased by 32% and 36% after integration for OPD and ART patients respectively (p<0.01). Using simulation modeling, we found that a large portion of this increase could be explained by changes in operational conditions before and after integration such as reduced staff availability (p<0.01) and longer breaks between consecutive patients (p<0.05). Controlling for these differences, integration of services, per se, would have resulted in a significant decrease in waiting times for OPD and a moderate decrease for HIV services. CONCLUSIONS: Integrating health services has the potential of reducing waiting times due to more efficient use of resources. However, one needs to ensure that other operational factors such as staff availability are not adversely affected due to integration. Public Library of Science 2012-04-23 /pmc/articles/PMC3335156/ /pubmed/22545108 http://dx.doi.org/10.1371/journal.pone.0035479 Text en Deo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Deo, Sarang
Topp, Stephanie M.
Garcia, Ariel
Soldner, Mallory
Yagci Sokat, Kezban
Chipukuma, Julien
Wamulume, Chibesa S.
Reid, Stewart E.
Swann, Julie
Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title_full Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title_fullStr Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title_full_unstemmed Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title_short Modeling the Impact of Integrating HIV and Outpatient Health Services on Patient Waiting Times in an Urban Health Clinic in Zambia
title_sort modeling the impact of integrating hiv and outpatient health services on patient waiting times in an urban health clinic in zambia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335156/
https://www.ncbi.nlm.nih.gov/pubmed/22545108
http://dx.doi.org/10.1371/journal.pone.0035479
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