Budgeting for Environmental Health Services in Healthcare Facilities: A Ten-Step Model for Planning and Costing.
WaSH
budgeting
cleaning
costing
environmental health
healthcare facilities
infection prevention and control
waste management
water, sanitation, and hygiene
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
20 03 2020
20 03 2020
Historique:
received:
12
02
2020
revised:
13
03
2020
accepted:
17
03
2020
entrez:
5
4
2020
pubmed:
5
4
2020
medline:
21
10
2020
Statut:
epublish
Résumé
Environmental health services (EHS) in healthcare facilities (HCFs) are critical for safe care provision, yet their availability in low- and middle-income countries is low. A poor understanding of costs hinders progress towards adequate provision. Methods are inconsistent and poorly documented in costing literature, suggesting opportunities to improve evidence. The goal of this research was to develop a model to guide budgeting for EHS in HCFs. Based on 47 studies selected through a systematic review, we identified discrete budgeting steps, developed codes to define each step, and ordered steps into a model. We identified good practices based on a review of additional selected guidelines for costing EHS and HCFs. Our model comprises ten steps in three phases: planning, data collection, and synthesis. Costing-stakeholders define the costing purpose, relevant EHS, and cost scope; assess the EHS delivery context; develop a costing plan; and identify data sources (planning). Stakeholders then execute their costing plan and evaluate the data quality (data collection). Finally, stakeholders calculate costs and disseminate findings (synthesis). We present three hypothetical costing examples and discuss good practices, including using costing frameworks, selecting appropriate indicators to measure the quantity and quality of EHS, and iterating planning and data collection to select appropriate costing approaches and identify data gaps.
Identifiants
pubmed: 32245057
pii: ijerph17062075
doi: 10.3390/ijerph17062075
pmc: PMC7143484
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIEHS NIH HHS
ID : T32 ES007018
Pays : United States
Organisme : NIEHS NIH HHS
ID : T32ES007018
Pays : United States
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