Resource

Carbon mitigation, patient choice and cost reduction - triple bottom line optimisation for health care planning

Darshini Ramasubbu
Darshini Ramasubbu • 27 June 2018

Resource Description:

Duane et al. “Carbon mitigation, patient choice and cost reduction – triple bottom line optimisation for health care planning” Public Health 2014 Oct;128(10):920–4

Abstract

OBJECTIVES:

Health services must provide safe, affordable clinical care whilst meeting efficiency, environmental and social targets. These targets include achieving reduced greenhouse gas emissions. A care pathway approach based on a decision-support tool can simultaneously reconfigure health services, improve productivity and reduce carbon emissions.

STUDY DESIGN:

Probabilistic modelling using secondary data analysis.

METHODS:

Estimates of carbon emitted by a health service drew on a previous carbon accounting study which integrated bottom-up assessment of carbon emissions with top-down analysis of indirect emissions by Duane et al. (2012).(1) Using human resource information, estimates were applied in a decision-support model to measure the carbon footprint and service provision of theoretical scenarios. Using this model, sites with less than 60% utilisation were theoretically reconfigured to reduce carbon emissions and improve service provision.

RESULTS:

Clinic utilisation rates improved from 50% to 78%. Human resource savings were identified which could be re-directed towards improving patient care. Patient travel for health care was halved resulting in significant savings in carbon emissions.

CONCLUSIONS:

The proposed model is an effective health care service analysis tool, ensuring optimal utilisation of health care sites and human resources with the lowest carbon footprint.

Available from:

https://www.publichealthjrnl.com/article/S0033-3506(14)00200-5/pdf?code=puhe-site

Resource author(s)
Duane, B., Taylor, T., Stahl-Timmins, W., Hyland, J., Mackie, P. & Pollard, A.
Resource publishing organisation(s) or journal
Public Health
Resource publication date
June 2018

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