Spatial accessibility of pre-exposure prophylaxis (PrEP) : different measure choices and the implications for detecting shortage areas and examining its association with social determinants of health
Copyright © 2023 Elsevier Inc. All rights reserved..
PURPOSE: We examine how various pre-exposure prophylaxis (PrEP) accessibility measures impact the detection of PrEP shortage areas and the relation of shortage areas to social determinants of health (SDOH).
METHODS: Using ZIP Code Tabulation Areas (ZCTAs) in New York City as a case study, we compared 25 measures of spatial PrEP accessibility across four categories, including density, proximity, two-step floating catchment area (2SFCA), and Gaussian 2SFCA (G2SFCA). Bayesian spatial regression models were used to examine how PrEP accessibility is associated with SDOH.
RESULTS: Using density to measure PrEP accessibility for small areas such as ZCTAs poses challenges to statistical modeling because the measured accessibility values are highly skewed with excess zeros, leading to the necessity of using complex models such as the two-part mixture model. When G2SFCA measures are used, which account for distance decay effects and the competition from the PrEP demand side, findings on PrEP shortage area detection and the association between PrEP accessibility and SDOH were more consistent and less sensitive to spatial scales (i.e., varying from 10- to 30-minute driving).
CONCLUSIONS: This research adds to the nascent research on PrEP accessibility measurement and sheds light on selecting an appropriate measure to assess spatial disparities in PrEP accessibility and its associations with SDOH.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:86 |
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| Enthalten in: |
Annals of epidemiology - 86(2023) vom: 15. Okt., Seite 72-79.e3 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Luan, Hui [VerfasserIn] |
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| Links: |
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| Themen: |
Bayesian spatial analysis |
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| Anmerkungen: |
Date Revised 27.09.2023 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1016/j.annepidem.2023.07.004 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM359541631 |
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| 100 | 1 | |a Luan, Hui |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Spatial accessibility of pre-exposure prophylaxis (PrEP) |b different measure choices and the implications for detecting shortage areas and examining its association with social determinants of health |
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| 500 | |a Date Revised 27.09.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a Copyright © 2023 Elsevier Inc. All rights reserved. | ||
| 520 | |a PURPOSE: We examine how various pre-exposure prophylaxis (PrEP) accessibility measures impact the detection of PrEP shortage areas and the relation of shortage areas to social determinants of health (SDOH) | ||
| 520 | |a METHODS: Using ZIP Code Tabulation Areas (ZCTAs) in New York City as a case study, we compared 25 measures of spatial PrEP accessibility across four categories, including density, proximity, two-step floating catchment area (2SFCA), and Gaussian 2SFCA (G2SFCA). Bayesian spatial regression models were used to examine how PrEP accessibility is associated with SDOH | ||
| 520 | |a RESULTS: Using density to measure PrEP accessibility for small areas such as ZCTAs poses challenges to statistical modeling because the measured accessibility values are highly skewed with excess zeros, leading to the necessity of using complex models such as the two-part mixture model. When G2SFCA measures are used, which account for distance decay effects and the competition from the PrEP demand side, findings on PrEP shortage area detection and the association between PrEP accessibility and SDOH were more consistent and less sensitive to spatial scales (i.e., varying from 10- to 30-minute driving) | ||
| 520 | |a CONCLUSIONS: This research adds to the nascent research on PrEP accessibility measurement and sheds light on selecting an appropriate measure to assess spatial disparities in PrEP accessibility and its associations with SDOH | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bayesian spatial analysis | |
| 650 | 4 | |a Gaussian 2SFCA | |
| 650 | 4 | |a HIV prevention | |
| 650 | 4 | |a Pre-exposure prophylaxis | |
| 650 | 4 | |a Spatial accessibility | |
| 650 | 4 | |a Two-part mixture model | |
| 700 | 1 | |a Li, Guangquan |e verfasserin |4 aut | |
| 700 | 1 | |a Duncan, Dustin T |e verfasserin |4 aut | |
| 700 | 1 | |a Sullivan, Patrick S |e verfasserin |4 aut | |
| 700 | 1 | |a Ransome, Yusuf |e verfasserin |4 aut | |
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