| Literature DB >> 32809028 |
Vishala Mishra1, Joseph P Dexter2.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32809028 PMCID: PMC7435342 DOI: 10.1001/jamanetworkopen.2020.18033
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Readability of COVID-19 Information From the WHO, CDC, ECDC, and Governments of 15 Countries
| Resource | Web pages, No. | Readability formulas, median (IQR) [range] | Syntactic complexity, median (IQR) [range] | |||||
|---|---|---|---|---|---|---|---|---|
| FKGL | SMOG | GFI | FORCAST | CLI | MLC | DC/T | ||
| WHO | 12 | 11.8 (4.0) [8.7-16.7] | 13.6 (3.6) [11.2-17.3] | 13.6 (4.7) [10.1-15.6] | 11.5 (1.3) [10.4-12.4] | 12.4 (3.2) [10.5-16.2] | 12.5 (2.6) [10.6-16.3] | 0.5 (0.4) [0.3-0.9] |
| CDC | 68 | 11.0 (3.2) [5.4-16.6] | 13.4 (2.5) [8.1-17.4] | 12.7 (3.0) [6.8-18.4] | 11.4 (0.9) [8.7-13.4] | 12.8 (2.9) [8.1-18.6] | 11.6 (2.0) [7.4-15.1] | 0.5 (0.2) [0.2-2.5] |
| ECDC | 1 | 13.1 | 15.0 | 14.0 | 11.6 | 12.9 | 12.5 | 0.5 |
| US | 19 | 11.5 (1.9) [8.8-14.9] | 13.5 (1.4) [11.6-15.7] | 12.4 (2.1) [10.7-14.9] | 11.3 (0.7) [10.6-12.1] | 12.2 (1.8) [10.9-15.2] | 11.8 (2.6) [10.1-14.1] | 0.6 (0.3) [0.3-0.8] |
| Australia | 14 | 10.7 (1.6) [8.6-11.7] | 12.8 (1.6) [11.2-14.0] | 11.8 (1.8) [9.9-13.7] | 10.7 (0.5) [9.8-11.4] | 11.2 (1.7) [9.5-14.1] | 10.9 (1.4) [9.4-15.8] | 0.6 (0.3) [0.4-0.8] |
| Austria | 1 | 12.0 | 14.1 | 12.4 | 11.2 | 11.9 | 12.3 | 0.4 |
| Belgium | 1 | 9.4 | 11.9 | 11.3 | 11.3 | 11.6 | 10.3 | 0.3 |
| Canada | 1 | 10.5 | 13.1 | 11.5 | 11 | 11.5 | 10.2 | 0.6 |
| France | 1 | 9.4 | 11.9 | 9.9 | 10.2 | 10.9 | 11.1 | 0.6 |
| Germany | 1 | 11.7 | 13.9 | 12.2 | 11.2 | 12.3 | 12.2 | 0.4 |
| Israel | 1 | 11.3 | 13.2 | 12.4 | 11.1 | 11.5 | 12.5 | 0.4 |
| Italy | 1 | 12.6 | 14.2 | 12.6 | 11.3 | 12.5 | 14.4 | 0.4 |
| Netherlands | 2 | 7.8 (0.7) [7.4-8.1] | 10.2 (0.9) [9.7-10.6] | 8.7 (0.9) [8.2-9.1] | 10.3 (0) [10.3-10.3] | 9.2 (0.6) [8.9-9.5] | 9.4 (0.2) [9.3-9.5] | 0.5 (0) [0.5-0.5] |
| Norway | 13 | 11.1 (3.2) [7.0-13.9] | 12.3 (1.9) [10.6-15.2] | 12.1 (1.9) [10.0-14.5] | 10.8 (1.3) [9.8-12.5] | 11.4 (3.1) [8.7-15.3] | 9.9 (1.9) [7.4-13.9] | 0.7 (0.2) [0.4-1.2] |
| South Korea | 1 | 11.5 | 13.4 | 12.4 | 11.4 | 12.9 | 11.6 | 0.5 |
| Sweden | 1 | 10.6 | 12.7 | 11.8 | 11.1 | 11.5 | 10.1 | 0.6 |
| Switzerland | 1 | 9.2 | 11.9 | 10.7 | 10.6 | 10.8 | 10.2 | 0.5 |
| UK | 10 | 11.6 (2.4) [8.4-15.1] | 12.9 (1.9) [11.2-16.1] | 12.8 (3.2) [9.7-15.2] | 10.3 (1.0) [9.6-11.6] | 10.8 (1.7) [8.7-13.7] | 10.4 (1.1) [9.3-15.0] | 0.8 (0.4) [0.5-1.2] |
Abbreviations: CDC, Centers for Disease Control and Prevention; CLI, Coleman-Liau Index; COVID-19, coronavirus disease 2019; DC/T, dependent clauses per T-unit; ECDC, European Centre for Disease Control and Prevention; FKGL, Flesch-Kincaid grade level; FORCAST, Ford, Caylor, Sticht formula; GFI, Gunning Fog Index; MLC, mean length of clause; SMOG, Simple Measure of Gobbledygook; WHO, World Health Organization.
The MLC measures elaboration at the clause level (number of words per clause), and DC/T measures clausal subordination.
Official guidelines provided by the White House Coronavirus Task Force were included.
Official guidelines provided by Public Health England were included.
Figure. Readability, Literacy, and Use of Difficult Terms Across All 50 US States
For each state, an official website with frequently asked questions or related information for the public was assessed for readability and use of the 121 difficult words and phrases discussed in the Centers for Disease Control and Prevention’s health literacy guidelines.[5] Because 3 pairs of states that used 16% to 30% of the difficult terms had identical Flesch-Kincaid grade levels and literacy, only 47 data points are shown. COVID-19 indicates coronavirus disease 2019.