Cargando…

Activity-based costing of health-care delivery, Haiti

OBJECTIVE: To evaluate the implementation of a time-driven activity-based costing analysis at five community health facilities in Haiti. METHODS: Together with stakeholders, the project team decided that health-care providers should enter start and end times of the patient encounter in every fifth p...

Descripción completa

Detalles Bibliográficos
Autores principales: McBain, Ryan K, Jerome, Gregory, Leandre, Fernet, Browning, Micaela, Warsh, Jonathan, Shah, Mahek, Mistry, Bipin, Faure, Peterson Abnis I, Pierre, Claire, Fang, Anna P, Mugunga, Jean Claude, Gottlieb, Gary, Rhatigan, Joseph, Kaplan, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791872/
https://www.ncbi.nlm.nih.gov/pubmed/29403096
http://dx.doi.org/10.2471/BLT.17.198663
_version_ 1783296673694351360
author McBain, Ryan K
Jerome, Gregory
Leandre, Fernet
Browning, Micaela
Warsh, Jonathan
Shah, Mahek
Mistry, Bipin
Faure, Peterson Abnis I
Pierre, Claire
Fang, Anna P
Mugunga, Jean Claude
Gottlieb, Gary
Rhatigan, Joseph
Kaplan, Robert
author_facet McBain, Ryan K
Jerome, Gregory
Leandre, Fernet
Browning, Micaela
Warsh, Jonathan
Shah, Mahek
Mistry, Bipin
Faure, Peterson Abnis I
Pierre, Claire
Fang, Anna P
Mugunga, Jean Claude
Gottlieb, Gary
Rhatigan, Joseph
Kaplan, Robert
author_sort McBain, Ryan K
collection PubMed
description OBJECTIVE: To evaluate the implementation of a time-driven activity-based costing analysis at five community health facilities in Haiti. METHODS: Together with stakeholders, the project team decided that health-care providers should enter start and end times of the patient encounter in every fifth patient’s medical dossier. We trained one data collector per facility, who manually entered the time recordings and patient characteristics in a database and submitted the data to a cloud-based data warehouse each week. We calculated the capacity cost per minute for each resource used. An automated web-based platform multiplied reported time with capacity cost rate and provided the information to health-facilities administrators. FINDINGS: Between March 2014 and June 2015, the project tracked the clinical services for 7162 outpatients. The cost of care for specific conditions varied widely across the five facilities, due to heterogeneity in staffing and resources. For example, the average cost of a first antenatal-care visit ranged from 6.87 United States dollars (US$) at a low-level facility to US$ 25.06 at a high-level facility. Within facilities, we observed similarly variation in costs, due to factors such as patient comorbidities, patient arrival time, stocking of supplies at facilities and type of visit. CONCLUSION: Time-driven activity-based costing can be implemented in low-resource settings to guide resource allocation decisions. However, the extent to which this information will drive observable changes at patient, provider and institutional levels depends on several contextual factors, including budget constraints, management, policies and the political economy in which the health system is situated.
format Online
Article
Text
id pubmed-5791872
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher World Health Organization
record_format MEDLINE/PubMed
spelling pubmed-57918722018-02-05 Activity-based costing of health-care delivery, Haiti McBain, Ryan K Jerome, Gregory Leandre, Fernet Browning, Micaela Warsh, Jonathan Shah, Mahek Mistry, Bipin Faure, Peterson Abnis I Pierre, Claire Fang, Anna P Mugunga, Jean Claude Gottlieb, Gary Rhatigan, Joseph Kaplan, Robert Bull World Health Organ Research OBJECTIVE: To evaluate the implementation of a time-driven activity-based costing analysis at five community health facilities in Haiti. METHODS: Together with stakeholders, the project team decided that health-care providers should enter start and end times of the patient encounter in every fifth patient’s medical dossier. We trained one data collector per facility, who manually entered the time recordings and patient characteristics in a database and submitted the data to a cloud-based data warehouse each week. We calculated the capacity cost per minute for each resource used. An automated web-based platform multiplied reported time with capacity cost rate and provided the information to health-facilities administrators. FINDINGS: Between March 2014 and June 2015, the project tracked the clinical services for 7162 outpatients. The cost of care for specific conditions varied widely across the five facilities, due to heterogeneity in staffing and resources. For example, the average cost of a first antenatal-care visit ranged from 6.87 United States dollars (US$) at a low-level facility to US$ 25.06 at a high-level facility. Within facilities, we observed similarly variation in costs, due to factors such as patient comorbidities, patient arrival time, stocking of supplies at facilities and type of visit. CONCLUSION: Time-driven activity-based costing can be implemented in low-resource settings to guide resource allocation decisions. However, the extent to which this information will drive observable changes at patient, provider and institutional levels depends on several contextual factors, including budget constraints, management, policies and the political economy in which the health system is situated. World Health Organization 2018-01-01 2017-11-16 /pmc/articles/PMC5791872/ /pubmed/29403096 http://dx.doi.org/10.2471/BLT.17.198663 Text en (c) 2018 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
McBain, Ryan K
Jerome, Gregory
Leandre, Fernet
Browning, Micaela
Warsh, Jonathan
Shah, Mahek
Mistry, Bipin
Faure, Peterson Abnis I
Pierre, Claire
Fang, Anna P
Mugunga, Jean Claude
Gottlieb, Gary
Rhatigan, Joseph
Kaplan, Robert
Activity-based costing of health-care delivery, Haiti
title Activity-based costing of health-care delivery, Haiti
title_full Activity-based costing of health-care delivery, Haiti
title_fullStr Activity-based costing of health-care delivery, Haiti
title_full_unstemmed Activity-based costing of health-care delivery, Haiti
title_short Activity-based costing of health-care delivery, Haiti
title_sort activity-based costing of health-care delivery, haiti
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791872/
https://www.ncbi.nlm.nih.gov/pubmed/29403096
http://dx.doi.org/10.2471/BLT.17.198663
work_keys_str_mv AT mcbainryank activitybasedcostingofhealthcaredeliveryhaiti
AT jeromegregory activitybasedcostingofhealthcaredeliveryhaiti
AT leandrefernet activitybasedcostingofhealthcaredeliveryhaiti
AT browningmicaela activitybasedcostingofhealthcaredeliveryhaiti
AT warshjonathan activitybasedcostingofhealthcaredeliveryhaiti
AT shahmahek activitybasedcostingofhealthcaredeliveryhaiti
AT mistrybipin activitybasedcostingofhealthcaredeliveryhaiti
AT faurepetersonabnisi activitybasedcostingofhealthcaredeliveryhaiti
AT pierreclaire activitybasedcostingofhealthcaredeliveryhaiti
AT fangannap activitybasedcostingofhealthcaredeliveryhaiti
AT mugungajeanclaude activitybasedcostingofhealthcaredeliveryhaiti
AT gottliebgary activitybasedcostingofhealthcaredeliveryhaiti
AT rhatiganjoseph activitybasedcostingofhealthcaredeliveryhaiti
AT kaplanrobert activitybasedcostingofhealthcaredeliveryhaiti