Modelling policy interventions to improve patient access to rural dermatology care
Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these dispariti...
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Veröffentlicht in: | Operations management research 2021-12, Vol.14 (3-4), p.359-377 |
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description | Timely access to dermatology care is poor across the US, especially in underserved geographical areas. Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. In our rural setting, two interventions appear cost-effective in reducing patient access delays and provider over-utilisation; two others performed too poorly to warrant investing resources to implement or test in practise. |
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Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. 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Rural regions with fewer practising dermatologists and constrained resources often experience insufficient care access and health outcomes, underscoring the importance of addressing these disparities. However, potential interventions are difficult to compare due to their disruptiveness, time and resource requirements, and institutional resistance, given their uncertain impacts. Queueing and computer simulation models were used to analyse several potential interventions to reduce dermatology appointment delays and gain insights into dynamics and structural inter-relationships. Model logic, candidate interventions, and cost–benefit considerations were developed from mixed-methods analyses of rural access processes and barriers. Sensitivity analyses were conducted. The best of ten investigated interventions reduced internal dermatology access delays from roughly 150 weeks with 95% provider utilisation currently to 0.49 and 72%, respectively. Two other interventions reduced travel for external dermatology care by an estimated 68.1%. Model logic and inputs were developed from the literature and a six-facility rural health system, which may differ in other geographic regions. Model simplifications may not capture all access dynamics, and resources required for some interventions may not be available. Model-based analysis of rural care access disparities can help evaluate and screen potential interventions, develop useful insights, and identify policies worth further evaluating or testing in actual practise. 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subjects | Analysis Business and Management Computer simulation Dermatology Engineering Economics Impact resistance Industrial and Production Engineering Innovation/Technology Management Logistics Management Marketing Operations Management Operations research Operations Research/Decision Theory Organization Rural areas Rural health |
title | Modelling policy interventions to improve patient access to rural dermatology care |
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